diff --git a/.devops/full-cuda.Dockerfile b/.devops/full-cuda.Dockerfile
index 059fd2695..c01006efe 100644
--- a/.devops/full-cuda.Dockerfile
+++ b/.devops/full-cuda.Dockerfile
@@ -31,6 +31,6 @@ ENV LLAMA_CUDA=1
 # Enable cURL
 ENV LLAMA_CURL=1
 
-RUN make
+RUN make -j$(nproc)
 
 ENTRYPOINT ["/app/.devops/tools.sh"]
diff --git a/.devops/full-rocm.Dockerfile b/.devops/full-rocm.Dockerfile
index 6ecf3bcc7..0314d469b 100644
--- a/.devops/full-rocm.Dockerfile
+++ b/.devops/full-rocm.Dockerfile
@@ -45,6 +45,6 @@ ENV LLAMA_CURL=1
 RUN apt-get update && \
     apt-get install -y libcurl4-openssl-dev
 
-RUN make
+RUN make -j$(nproc)
 
 ENTRYPOINT ["/app/.devops/tools.sh"]
diff --git a/.devops/full.Dockerfile b/.devops/full.Dockerfile
index 432fb5dad..6d5943a2f 100644
--- a/.devops/full.Dockerfile
+++ b/.devops/full.Dockerfile
@@ -18,7 +18,7 @@ COPY . .
 ENV LLAMA_CURL=1
 
 
-RUN make
+RUN make -j$(nproc)
 
 ENV LC_ALL=C.utf8
 
diff --git a/.devops/main-cuda.Dockerfile b/.devops/main-cuda.Dockerfile
index b937a4829..23f428944 100644
--- a/.devops/main-cuda.Dockerfile
+++ b/.devops/main-cuda.Dockerfile
@@ -23,7 +23,7 @@ ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
 # Enable CUDA
 ENV LLAMA_CUDA=1
 
-RUN make
+RUN make -j$(nproc)
 
 FROM ${BASE_CUDA_RUN_CONTAINER} as runtime
 
diff --git a/.devops/main-intel.Dockerfile b/.devops/main-intel.Dockerfile
index 274b91b71..7516c8313 100644
--- a/.devops/main-intel.Dockerfile
+++ b/.devops/main-intel.Dockerfile
@@ -2,6 +2,14 @@ ARG ONEAPI_VERSION=2024.0.1-devel-ubuntu22.04
 
 FROM intel/oneapi-basekit:$ONEAPI_VERSION as build
 
+RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | tee /usr/share/keyrings/intel-oneapi-archive-keyring.gpg > /dev/null && \
+    echo "deb [signed-by=/usr/share/keyrings/intel-oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main " | tee /etc/apt/sources.list.d/oneAPI.list && \
+    chmod 644 /usr/share/keyrings/intel-oneapi-archive-keyring.gpg && \
+    rm /etc/apt/sources.list.d/intel-graphics.list && \
+    wget -O- https://repositories.intel.com/graphics/intel-graphics.key | gpg --dearmor | tee /usr/share/keyrings/intel-graphics.gpg > /dev/null && \
+    echo "deb [arch=amd64,i386 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/graphics/ubuntu jammy arc" | tee /etc/apt/sources.list.d/intel.gpu.jammy.list && \
+    chmod 644 /usr/share/keyrings/intel-graphics.gpg
+
 ARG LLAMA_SYCL_F16=OFF
 RUN apt-get update && \
     apt-get install -y git
diff --git a/.devops/main-rocm.Dockerfile b/.devops/main-rocm.Dockerfile
index 0a706dc73..37576d68e 100644
--- a/.devops/main-rocm.Dockerfile
+++ b/.devops/main-rocm.Dockerfile
@@ -40,6 +40,6 @@ ENV LLAMA_HIPBLAS=1
 ENV CC=/opt/rocm/llvm/bin/clang
 ENV CXX=/opt/rocm/llvm/bin/clang++
 
-RUN make
+RUN make -j$(nproc)
 
 ENTRYPOINT [ "/app/main" ]
diff --git a/.devops/main.Dockerfile b/.devops/main.Dockerfile
index 3ab1decd6..763d75fce 100644
--- a/.devops/main.Dockerfile
+++ b/.devops/main.Dockerfile
@@ -9,7 +9,7 @@ WORKDIR /app
 
 COPY . .
 
-RUN make
+RUN make -j$(nproc)
 
 FROM ubuntu:$UBUNTU_VERSION as runtime
 
diff --git a/.devops/nix/package.nix b/.devops/nix/package.nix
index 2c0ae4e2a..e8d5b0bd9 100644
--- a/.devops/nix/package.nix
+++ b/.devops/nix/package.nix
@@ -214,7 +214,6 @@ effectiveStdenv.mkDerivation (
         (cmakeBool "LLAMA_CUDA" useCuda)
         (cmakeBool "LLAMA_HIPBLAS" useRocm)
         (cmakeBool "LLAMA_METAL" useMetalKit)
-        (cmakeBool "LLAMA_MPI" useMpi)
         (cmakeBool "LLAMA_VULKAN" useVulkan)
         (cmakeBool "LLAMA_STATIC" enableStatic)
       ]
@@ -227,20 +226,20 @@ effectiveStdenv.mkDerivation (
         )
       ]
       ++ optionals useRocm [
-        (cmakeFeature "CMAKE_C_COMPILER" "hipcc")
-        (cmakeFeature "CMAKE_CXX_COMPILER" "hipcc")
-
-        # Build all targets supported by rocBLAS. When updating search for TARGET_LIST_ROCM
-        # in https://github.com/ROCmSoftwarePlatform/rocBLAS/blob/develop/CMakeLists.txt
-        # and select the line that matches the current nixpkgs version of rocBLAS.
-        # Should likely use `rocmPackages.clr.gpuTargets`.
-        "-DAMDGPU_TARGETS=gfx803;gfx900;gfx906:xnack-;gfx908:xnack-;gfx90a:xnack+;gfx90a:xnack-;gfx940;gfx941;gfx942;gfx1010;gfx1012;gfx1030;gfx1100;gfx1101;gfx1102"
+        (cmakeFeature "CMAKE_HIP_COMPILER" "${rocmPackages.llvm.clang}/bin/clang")
+        (cmakeFeature "CMAKE_HIP_ARCHITECTURES" (builtins.concatStringsSep ";" rocmPackages.clr.gpuTargets))
       ]
       ++ optionals useMetalKit [
         (lib.cmakeFeature "CMAKE_C_FLAGS" "-D__ARM_FEATURE_DOTPROD=1")
         (cmakeBool "LLAMA_METAL_EMBED_LIBRARY" (!precompileMetalShaders))
       ];
 
+    # Environment variables needed for ROCm
+    env = optionals useRocm {
+      ROCM_PATH = "${rocmPackages.clr}";
+      HIP_DEVICE_LIB_PATH = "${rocmPackages.rocm-device-libs}/amdgcn/bitcode";
+    };
+
     # TODO(SomeoneSerge): It's better to add proper install targets at the CMake level,
     # if they haven't been added yet.
     postInstall = ''
diff --git a/.devops/server-cuda.Dockerfile b/.devops/server-cuda.Dockerfile
index 59a52ba21..7f5228185 100644
--- a/.devops/server-cuda.Dockerfile
+++ b/.devops/server-cuda.Dockerfile
@@ -25,7 +25,7 @@ ENV LLAMA_CUDA=1
 # Enable cURL
 ENV LLAMA_CURL=1
 
-RUN make
+RUN make -j$(nproc)
 
 FROM ${BASE_CUDA_RUN_CONTAINER} as runtime
 
diff --git a/.devops/server-intel.Dockerfile b/.devops/server-intel.Dockerfile
index a8e451fa9..13d00b737 100644
--- a/.devops/server-intel.Dockerfile
+++ b/.devops/server-intel.Dockerfile
@@ -2,6 +2,14 @@ ARG ONEAPI_VERSION=2024.0.1-devel-ubuntu22.04
 
 FROM intel/oneapi-basekit:$ONEAPI_VERSION as build
 
+RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | tee /usr/share/keyrings/intel-oneapi-archive-keyring.gpg > /dev/null && \
+    echo "deb [signed-by=/usr/share/keyrings/intel-oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main " | tee /etc/apt/sources.list.d/oneAPI.list && \
+    chmod 644 /usr/share/keyrings/intel-oneapi-archive-keyring.gpg && \
+    rm /etc/apt/sources.list.d/intel-graphics.list && \
+    wget -O- https://repositories.intel.com/graphics/intel-graphics.key | gpg --dearmor | tee /usr/share/keyrings/intel-graphics.gpg > /dev/null && \
+    echo "deb [arch=amd64,i386 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/graphics/ubuntu jammy arc" | tee /etc/apt/sources.list.d/intel.gpu.jammy.list && \
+    chmod 644 /usr/share/keyrings/intel-graphics.gpg
+
 ARG LLAMA_SYCL_F16=OFF
 RUN apt-get update && \
     apt-get install -y git libcurl4-openssl-dev
@@ -19,6 +27,14 @@ RUN if [ "${LLAMA_SYCL_F16}" = "ON" ]; then \
 
 FROM intel/oneapi-basekit:$ONEAPI_VERSION as runtime
 
+RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | tee /usr/share/keyrings/intel-oneapi-archive-keyring.gpg > /dev/null && \
+    echo "deb [signed-by=/usr/share/keyrings/intel-oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main " | tee /etc/apt/sources.list.d/oneAPI.list && \
+    chmod 644 /usr/share/keyrings/intel-oneapi-archive-keyring.gpg && \
+    rm /etc/apt/sources.list.d/intel-graphics.list && \
+    wget -O- https://repositories.intel.com/graphics/intel-graphics.key | gpg --dearmor | tee /usr/share/keyrings/intel-graphics.gpg > /dev/null && \
+    echo "deb [arch=amd64,i386 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/graphics/ubuntu jammy arc" | tee /etc/apt/sources.list.d/intel.gpu.jammy.list && \
+    chmod 644 /usr/share/keyrings/intel-graphics.gpg
+
 RUN apt-get update && \
     apt-get install -y libcurl4-openssl-dev
 
diff --git a/.devops/server-rocm.Dockerfile b/.devops/server-rocm.Dockerfile
index c02a31dd8..a6b76dee8 100644
--- a/.devops/server-rocm.Dockerfile
+++ b/.devops/server-rocm.Dockerfile
@@ -45,6 +45,6 @@ ENV LLAMA_CURL=1
 RUN apt-get update && \
     apt-get install -y libcurl4-openssl-dev
 
-RUN make
+RUN make -j$(nproc)
 
 ENTRYPOINT [ "/app/server" ]
diff --git a/.devops/server.Dockerfile b/.devops/server.Dockerfile
index be964e0e8..0d09d3627 100644
--- a/.devops/server.Dockerfile
+++ b/.devops/server.Dockerfile
@@ -11,7 +11,7 @@ COPY . .
 
 ENV LLAMA_CURL=1
 
-RUN make
+RUN make -j$(nproc)
 
 FROM ubuntu:$UBUNTU_VERSION as runtime
 
diff --git a/.devops/tools.sh b/.devops/tools.sh
index 3a7d274e4..97424c3aa 100755
--- a/.devops/tools.sh
+++ b/.devops/tools.sh
@@ -8,7 +8,7 @@ arg1="$1"
 shift
 
 if [[ "$arg1" == '--convert' || "$arg1" == '-c' ]]; then
-    python3 ./convert.py "$@"
+    python3 ./convert-hf-to-gguf.py "$@"
 elif [[ "$arg1" == '--quantize' || "$arg1" == '-q' ]]; then
     ./quantize "$@"
 elif [[ "$arg1" == '--run' || "$arg1" == '-r' ]]; then
diff --git a/.github/ISSUE_TEMPLATE/01-bug-low.yml b/.github/ISSUE_TEMPLATE/01-bug-low.yml
new file mode 100644
index 000000000..bfb9d9a06
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/01-bug-low.yml
@@ -0,0 +1,50 @@
+name: Low Severity Bugs
+description: Used to report low severity bugs in llama.cpp (e.g. cosmetic issues, non critical UI glitches)
+title: "Bug: "
+labels: ["bug-unconfirmed", "low severity"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thanks for taking the time to fill out this bug report!
+        Please include information about your system, the steps to reproduce the bug,
+        and the version of llama.cpp that you are using.
+        If possible, please provide a minimal code example that reproduces the bug.
+  - type: textarea
+    id: what-happened
+    attributes:
+      label: What happened?
+      description: Also tell us, what did you expect to happen?
+      placeholder: Tell us what you see!
+    validations:
+      required: true
+  - type: textarea
+    id: version
+    attributes:
+      label: Name and Version
+      description: Which executable and which version of our software are you running? (use `--version` to get a version string)
+      placeholder: |
+        $./main --version
+        version: 2999 (42b4109e)
+        built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
+    validations:
+      required: true
+  - type: dropdown
+    id: operating-system
+    attributes:
+      label: What operating system are you seeing the problem on?
+      multiple: true
+      options:
+        - Linux
+        - Mac
+        - Windows
+        - BSD
+        - Other? (Please let us know in description)
+    validations:
+      required: false
+  - type: textarea
+    id: logs
+    attributes:
+      label: Relevant log output
+      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
+      render: shell
diff --git a/.github/ISSUE_TEMPLATE/02-bug-medium.yml b/.github/ISSUE_TEMPLATE/02-bug-medium.yml
new file mode 100644
index 000000000..e8297eea0
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/02-bug-medium.yml
@@ -0,0 +1,50 @@
+name: Medium Severity Bug
+description: Used to report medium severity bugs in llama.cpp (e.g. Malfunctioning Features but generally still useable)
+title: "Bug: "
+labels: ["bug-unconfirmed", "medium severity"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thanks for taking the time to fill out this bug report!
+        Please include information about your system, the steps to reproduce the bug,
+        and the version of llama.cpp that you are using.
+        If possible, please provide a minimal code example that reproduces the bug.
+  - type: textarea
+    id: what-happened
+    attributes:
+      label: What happened?
+      description: Also tell us, what did you expect to happen?
+      placeholder: Tell us what you see!
+    validations:
+      required: true
+  - type: textarea
+    id: version
+    attributes:
+      label: Name and Version
+      description: Which executable and which version of our software are you running? (use `--version` to get a version string)
+      placeholder: |
+        $./main --version
+        version: 2999 (42b4109e)
+        built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
+    validations:
+      required: true
+  - type: dropdown
+    id: operating-system
+    attributes:
+      label: What operating system are you seeing the problem on?
+      multiple: true
+      options:
+        - Linux
+        - Mac
+        - Windows
+        - BSD
+        - Other? (Please let us know in description)
+    validations:
+      required: false
+  - type: textarea
+    id: logs
+    attributes:
+      label: Relevant log output
+      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
+      render: shell
diff --git a/.github/ISSUE_TEMPLATE/03-bug-high.yml b/.github/ISSUE_TEMPLATE/03-bug-high.yml
new file mode 100644
index 000000000..3c9d50d16
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/03-bug-high.yml
@@ -0,0 +1,50 @@
+name: High Severity Bug
+description: Used to report high severity bugs in llama.cpp (e.g. Malfunctioning features hindering important common workflow)
+title: "Bug: "
+labels: ["bug-unconfirmed", "high severity"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thanks for taking the time to fill out this bug report!
+        Please include information about your system, the steps to reproduce the bug,
+        and the version of llama.cpp that you are using.
+        If possible, please provide a minimal code example that reproduces the bug.
+  - type: textarea
+    id: what-happened
+    attributes:
+      label: What happened?
+      description: Also tell us, what did you expect to happen?
+      placeholder: Tell us what you see!
+    validations:
+      required: true
+  - type: textarea
+    id: version
+    attributes:
+      label: Name and Version
+      description: Which executable and which version of our software are you running? (use `--version` to get a version string)
+      placeholder: |
+        $./main --version
+        version: 2999 (42b4109e)
+        built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
+    validations:
+      required: true
+  - type: dropdown
+    id: operating-system
+    attributes:
+      label: What operating system are you seeing the problem on?
+      multiple: true
+      options:
+        - Linux
+        - Mac
+        - Windows
+        - BSD
+        - Other? (Please let us know in description)
+    validations:
+      required: false
+  - type: textarea
+    id: logs
+    attributes:
+      label: Relevant log output
+      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
+      render: shell
diff --git a/.github/ISSUE_TEMPLATE/04-bug-critical.yml b/.github/ISSUE_TEMPLATE/04-bug-critical.yml
new file mode 100644
index 000000000..d089d5fa1
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/04-bug-critical.yml
@@ -0,0 +1,50 @@
+name: Critical Severity Bug
+description: Used to report critical severity bugs in llama.cpp (e.g. Crashing, Corrupted, Dataloss)
+title: "Bug: "
+labels: ["bug-unconfirmed", "critical severity"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thanks for taking the time to fill out this bug report!
+        Please include information about your system, the steps to reproduce the bug,
+        and the version of llama.cpp that you are using.
+        If possible, please provide a minimal code example that reproduces the bug.
+  - type: textarea
+    id: what-happened
+    attributes:
+      label: What happened?
+      description: Also tell us, what did you expect to happen?
+      placeholder: Tell us what you see!
+    validations:
+      required: true
+  - type: textarea
+    id: version
+    attributes:
+      label: Name and Version
+      description: Which executable and which version of our software are you running? (use `--version` to get a version string)
+      placeholder: |
+        $./main --version
+        version: 2999 (42b4109e)
+        built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
+    validations:
+      required: true
+  - type: dropdown
+    id: operating-system
+    attributes:
+      label: What operating system are you seeing the problem on?
+      multiple: true
+      options:
+        - Linux
+        - Mac
+        - Windows
+        - BSD
+        - Other? (Please let us know in description)
+    validations:
+      required: false
+  - type: textarea
+    id: logs
+    attributes:
+      label: Relevant log output
+      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
+      render: shell
diff --git a/.github/ISSUE_TEMPLATE/05-enhancement.yml b/.github/ISSUE_TEMPLATE/05-enhancement.yml
new file mode 100644
index 000000000..58fca7318
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/05-enhancement.yml
@@ -0,0 +1,51 @@
+name: Enhancement
+description: Used to request enhancements for llama.cpp
+title: "Feature Request: "
+labels: ["enhancement"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        [Please post your idea first in Discussion if there is not yet a consensus for this enhancement request. This will help to keep this issue tracker focused on enhancements that the community has agreed needs to be implemented.](https://github.com/ggerganov/llama.cpp/discussions/categories/ideas)
+
+  - type: checkboxes
+    id: prerequisites
+    attributes:
+      label: Prerequisites
+      description: Please confirm the following before submitting your enhancement request.
+      options:
+        - label: I am running the latest code. Mention the version if possible as well.
+          required: true
+        - label: I carefully followed the [README.md](https://github.com/ggerganov/llama.cpp/blob/master/README.md).
+          required: true
+        - label: I searched using keywords relevant to my issue to make sure that I am creating a new issue that is not already open (or closed).
+          required: true
+        - label: I reviewed the [Discussions](https://github.com/ggerganov/llama.cpp/discussions), and have a new and useful enhancement to share.
+          required: true
+
+  - type: textarea
+    id: feature-description
+    attributes:
+      label: Feature Description
+      description: Please provide a detailed written description of what you were trying to do, and what you expected `llama.cpp` to do as an enhancement.
+      placeholder: Detailed description of the enhancement
+    validations:
+      required: true
+
+  - type: textarea
+    id: motivation
+    attributes:
+      label: Motivation
+      description: Please provide a detailed written description of reasons why this feature is necessary and how it is useful to `llama.cpp` users.
+      placeholder: Explanation of why this feature is needed and its benefits
+    validations:
+      required: true
+
+  - type: textarea
+    id: possible-implementation
+    attributes:
+      label: Possible Implementation
+      description: If you have an idea as to how it can be implemented, please write a detailed description. Feel free to give links to external sources or share visuals that might be helpful to understand the details better.
+      placeholder: Detailed description of potential implementation
+    validations:
+      required: false
diff --git a/.github/ISSUE_TEMPLATE/06-research.yml b/.github/ISSUE_TEMPLATE/06-research.yml
new file mode 100644
index 000000000..3ae4e9f8c
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/06-research.yml
@@ -0,0 +1,52 @@
+name: Research
+description: Track new technical research area
+title: "Research: "
+labels: ["research 🔬"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Don't forget to check for any [duplicate research issue tickets](https://github.com/ggerganov/llama.cpp/issues?q=is%3Aopen+is%3Aissue+label%3A%22research+%F0%9F%94%AC%22)
+
+  - type: checkboxes
+    id: research-stage
+    attributes:
+      label: Research Stage
+      description: Track general state of this research ticket
+      options:
+        - label: Background Research (Let's try to avoid reinventing the wheel)
+        - label: Hypothesis Formed (How do you think this will work and it's effect?)
+        - label: Strategy / Implementation Forming
+        - label: Analysis of results
+        - label: Debrief / Documentation (So people in the future can learn from us)
+
+  - type: textarea
+    id: background
+    attributes:
+      label: Previous existing literature and research
+      description: Whats the current state of the art and whats the motivation for this research?
+
+  - type: textarea
+    id: hypothesis
+    attributes:
+      label: Hypothesis
+      description: How do you think this will work and it's effect?
+
+  - type: textarea
+    id: implementation
+    attributes:
+      label: Implementation
+      description: Got an approach? e.g. a PR ready to go?
+
+  - type: textarea
+    id: analysis
+    attributes:
+      label: Analysis
+      description: How does the proposed implementation behave?
+
+  - type: textarea
+    id: logs
+    attributes:
+      label: Relevant log output
+      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
+      render: shell
diff --git a/.github/ISSUE_TEMPLATE/07-refactor.yml b/.github/ISSUE_TEMPLATE/07-refactor.yml
new file mode 100644
index 000000000..3a68d3d53
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/07-refactor.yml
@@ -0,0 +1,28 @@
+name: Refactor (Maintainers)
+description: Used to track refactoring opportunities
+title: "Refactor: "
+labels: ["refactor"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Don't forget to [check for existing refactor issue tickets](https://github.com/ggerganov/llama.cpp/issues?q=is%3Aopen+is%3Aissue+label%3Arefactoring) in case it's already covered.
+        Also you may want to check [Pull request refactor label as well](https://github.com/ggerganov/llama.cpp/pulls?q=is%3Aopen+is%3Apr+label%3Arefactoring) for duplicates too.
+
+  - type: textarea
+    id: background-description
+    attributes:
+      label: Background Description
+      description: Please provide a detailed written description of the pain points you are trying to solve.
+      placeholder: Detailed description behind your motivation to request refactor
+    validations:
+      required: true
+
+  - type: textarea
+    id: possible-approaches
+    attributes:
+      label: Possible Refactor Approaches
+      description: If you have some idea of possible approaches to solve this problem. You may want to make it a todo list.
+      placeholder: Your idea of possible refactoring opportunity/approaches
+    validations:
+      required: false
diff --git a/.github/ISSUE_TEMPLATE/bug.md b/.github/ISSUE_TEMPLATE/bug.md
deleted file mode 100644
index 49812832c..000000000
--- a/.github/ISSUE_TEMPLATE/bug.md
+++ /dev/null
@@ -1,11 +0,0 @@
----
-name: Bug template
-about: Used to report bugs in llama.cpp
-labels: ["bug-unconfirmed"]
-assignees: ''
-
----
-
-Please include information about your system, the steps to reproduce the bug, and the version of llama.cpp that you are using. If possible, please provide a minimal code example that reproduces the bug.
-
-If the bug concerns the server, please try to reproduce it first using the [server test scenario framework](https://github.com/ggerganov/llama.cpp/tree/master/examples/server/tests).
diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml
new file mode 100644
index 000000000..c88134dbb
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -0,0 +1,13 @@
+blank_issues_enabled: true
+contact_links:
+  - name: Got an idea?
+    url: https://github.com/ggerganov/llama.cpp/discussions/categories/ideas
+    about: Pop it there. It may then become an enhancement ticket.
+  - name: Got a question?
+    url: https://github.com/ggerganov/llama.cpp/discussions/categories/q-a
+    about: Ask a question there!
+  - name: Want to contribute?
+    url: https://github.com/ggerganov/llama.cpp/wiki/contribute
+    about: Head to the contribution guide page of the wiki for areas you can help with
+
+
diff --git a/.github/ISSUE_TEMPLATE/enhancement.md b/.github/ISSUE_TEMPLATE/enhancement.md
deleted file mode 100644
index dcffda750..000000000
--- a/.github/ISSUE_TEMPLATE/enhancement.md
+++ /dev/null
@@ -1,28 +0,0 @@
----
-name: Enhancement template
-about: Used to request enhancements for llama.cpp
-labels: ["enhancement"]
-assignees: ''
-
----
-
-# Prerequisites
-
-Please answer the following questions for yourself before submitting an issue.
-
-- [ ] I am running the latest code. Development is very rapid so there are no tagged versions as of now.
-- [ ] I carefully followed the [README.md](https://github.com/ggerganov/llama.cpp/blob/master/README.md).
-- [ ] I [searched using keywords relevant to my issue](https://docs.github.com/en/issues/tracking-your-work-with-issues/filtering-and-searching-issues-and-pull-requests) to make sure that I am creating a new issue that is not already open (or closed).
-- [ ] I reviewed the [Discussions](https://github.com/ggerganov/llama.cpp/discussions), and have a new bug or useful enhancement to share.
-
-# Feature Description
-
-Please provide a detailed written description of what you were trying to do, and what you expected `llama.cpp` to do as an enhancement.
-
-# Motivation
-
-Please provide a detailed written description of reasons why this feature is necessary and how it is useful to `llama.cpp` users.
-
-# Possible Implementation
-
-If you have an idea as to how it can be implemented, please write a detailed description. Feel free to give links to external sources or share visuals that might be helpful to understand the details better.
diff --git a/.github/labeler.yml b/.github/labeler.yml
new file mode 100644
index 000000000..97d739b58
--- /dev/null
+++ b/.github/labeler.yml
@@ -0,0 +1,90 @@
+# https://github.com/actions/labeler
+Kompute:
+    - changed-files:
+        - any-glob-to-any-file:
+            - ggml-kompute.h
+            - ggml-kompute.cpp
+            - README-kompute.md
+Apple Metal:
+    - changed-files:
+        - any-glob-to-any-file:
+            - ggml-metal.h
+            - ggml-metal.cpp
+            - README-metal.md
+SYCL:
+    - changed-files:
+        - any-glob-to-any-file:
+            - ggml-sycl.h
+            - ggml-sycl.cpp
+            - README-sycl.md
+Nvidia GPU:
+    - changed-files:
+        - any-glob-to-any-file:
+            - ggml-cuda.h
+            - ggml-cuda/**
+Vulkan:
+    - changed-files:
+        - any-glob-to-any-file:
+            - ggml_vk_generate_shaders.py
+            - ggml-vulkan*
+documentation:
+    - changed-files:
+        - any-glob-to-any-file:
+            - docs/**
+            - media/**
+testing:
+    - changed-files:
+        - any-glob-to-any-file:
+            - tests/**
+build:
+    - changed-files:
+        - any-glob-to-any-file:
+            - cmake/**
+            - CMakeLists.txt
+            - CMakePresets.json
+            - codecov.yml
+examples:
+    - changed-files:
+        - any-glob-to-any-file: examples/**
+devops:
+    - changed-files:
+        - any-glob-to-any-file:
+            - .devops/**
+            - .github/**
+            - ci/**
+python:
+    - changed-files:
+        - any-glob-to-any-file:
+            - "**/*.py"
+            - requirements/**
+            - gguf-py/**
+            - .flake8
+script:
+    - changed-files:
+        - any-glob-to-any-file:
+            - scripts/**
+android:
+    - changed-files:
+        - any-glob-to-any-file:
+            - examples/llama.android/**
+server:
+    - changed-files:
+        - any-glob-to-any-file:
+            - examples/server/**
+ggml:
+    - changed-files:
+        - any-glob-to-any-file:
+            - ggml.c
+            - ggml.h
+            - ggml-*.c
+            - ggml-*.h
+            - ggml-cuda/**
+nix:
+    - changed-files:
+        - any-glob-to-any-file:
+            - "**/*.nix"
+            - .github/workflows/nix-*.yml
+            - .devops/nix/nixpkgs-instances.nix
+embedding:
+    - changed-files:
+        - any-glob-to-any-file: examples/embedding/
diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 8c338534d..93669d531 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -271,49 +271,15 @@ jobs:
           path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-x64.zip
           name: llama-bin-ubuntu-x64.zip
 
-#  ubuntu-latest-cmake-sanitizer:
-#    runs-on: ubuntu-latest
-#
-#    continue-on-error: true
-#
-#    strategy:
-#      matrix:
-#        sanitizer: [ADDRESS, THREAD, UNDEFINED]
-#        build_type: [Debug, Release]
-#
-#    steps:
-#      - name: Clone
-#        id: checkout
-#        uses: actions/checkout@v4
-#
-#      - name: Dependencies
-#        id: depends
-#        run: |
-#          sudo apt-get update
-#          sudo apt-get install build-essential
-#
-#      - name: Build
-#        id: cmake_build
-#        run: |
-#          mkdir build
-#          cd build
-#          cmake .. -DLLAMA_FATAL_WARNINGS=ON -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON -DCMAKE_BUILD_TYPE=${{ matrix.build_type }}
-#          cmake --build . --config ${{ matrix.build_type }} -j $(nproc)
-#
-#      - name: Test
-#        id: cmake_test
-#        run: |
-#          cd build
-#          ctest -L main --verbose --timeout 900
-
-  ubuntu-latest-cmake-mpi:
+  ubuntu-latest-cmake-sanitizer:
     runs-on: ubuntu-latest
 
     continue-on-error: true
 
     strategy:
       matrix:
-        mpi_library: [mpich, libopenmpi-dev]
+        sanitizer: [ADDRESS, THREAD, UNDEFINED]
+        build_type: [Debug, Release]
 
     steps:
       - name: Clone
@@ -324,14 +290,54 @@ jobs:
         id: depends
         run: |
           sudo apt-get update
-          sudo apt-get install build-essential ${{ matrix.mpi_library }}
+          sudo apt-get install build-essential
+
+      - name: Build
+        id: cmake_build
+        if: ${{ matrix.sanitizer != 'THREAD' }}
+        run: |
+          mkdir build
+          cd build
+          cmake .. -DLLAMA_FATAL_WARNINGS=ON -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON -DCMAKE_BUILD_TYPE=${{ matrix.build_type }}
+          cmake --build . --config ${{ matrix.build_type }} -j $(nproc)
+
+      - name: Build (no OpenMP)
+        id: cmake_build_no_openmp
+        if: ${{ matrix.sanitizer == 'THREAD' }}
+        run: |
+          mkdir build
+          cd build
+          cmake .. -DLLAMA_FATAL_WARNINGS=ON -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} -DLLAMA_OPENMP=OFF
+          cmake --build . --config ${{ matrix.build_type }} -j $(nproc)
+
+      - name: Test
+        id: cmake_test
+        run: |
+          cd build
+          ctest -L main --verbose --timeout 900
+
+  ubuntu-latest-cmake-rpc:
+    runs-on: ubuntu-latest
+
+    continue-on-error: true
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v4
+
+      - name: Dependencies
+        id: depends
+        run: |
+          sudo apt-get update
+          sudo apt-get install build-essential
 
       - name: Build
         id: cmake_build
         run: |
           mkdir build
           cd build
-          cmake -DLLAMA_MPI=ON ..
+          cmake -DLLAMA_RPC=ON ..
           cmake --build . --config Release -j $(nproc)
 
       - name: Test
@@ -362,6 +368,33 @@ jobs:
           cmake -DLLAMA_VULKAN=ON ..
           cmake --build . --config Release -j $(nproc)
 
+  ubuntu-22-cmake-hip:
+    runs-on: ubuntu-22.04
+    container: rocm/dev-ubuntu-22.04:6.0.2
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v3
+
+      - name: Dependencies
+        id: depends
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev
+
+      - name: Build with native CMake HIP support
+        id: cmake_build
+        run: |
+          cmake -B build -S . -DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" -DLLAMA_HIPBLAS=ON
+          cmake --build build --config Release -j $(nproc)
+
+      - name: Build with legacy HIP support
+        id: cmake_build_legacy_hip
+        run: |
+          cmake -B build2 -S . -DCMAKE_C_COMPILER=hipcc -DCMAKE_CXX_COMPILER=hipcc -DLLAMA_HIPBLAS=ON
+          cmake --build build2 --config Release -j $(nproc)
+
   ubuntu-22-cmake-sycl:
     runs-on: ubuntu-22.04
 
@@ -655,32 +688,32 @@ jobs:
 
     env:
       OPENBLAS_VERSION: 0.3.23
-      OPENCL_VERSION: 2023.04.17
-      CLBLAST_VERSION: 1.6.0
       SDE_VERSION: 9.33.0-2024-01-07
       VULKAN_VERSION: 1.3.261.1
 
     strategy:
       matrix:
         include:
-          - build: 'noavx'
+          - build: 'rpc-x64'
+            defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DLLAMA_RPC=ON -DBUILD_SHARED_LIBS=ON'
+          - build: 'noavx-x64'
             defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DLLAMA_AVX=OFF -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF -DBUILD_SHARED_LIBS=ON'
-          - build: 'avx2'
+          - build: 'avx2-x64'
             defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DBUILD_SHARED_LIBS=ON'
-          - build: 'avx'
+          - build: 'avx-x64'
             defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DLLAMA_AVX2=OFF -DBUILD_SHARED_LIBS=ON'
-          - build: 'avx512'
+          - build: 'avx512-x64'
             defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DLLAMA_AVX512=ON -DBUILD_SHARED_LIBS=ON'
-          - build: 'clblast'
-            defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DLLAMA_CLBLAST=ON -DBUILD_SHARED_LIBS=ON -DCMAKE_PREFIX_PATH="$env:RUNNER_TEMP/clblast"'
-          - build: 'openblas'
+          - build: 'openblas-x64'
             defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DLLAMA_BLAS=ON -DBUILD_SHARED_LIBS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS -DBLAS_INCLUDE_DIRS="$env:RUNNER_TEMP/openblas/include" -DBLAS_LIBRARIES="$env:RUNNER_TEMP/openblas/lib/openblas.lib"'
-          - build: 'kompute'
+          - build: 'kompute-x64'
             defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DLLAMA_KOMPUTE=ON -DKOMPUTE_OPT_DISABLE_VULKAN_VERSION_CHECK=ON -DBUILD_SHARED_LIBS=ON'
-          - build: 'vulkan'
+          - build: 'vulkan-x64'
             defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DLLAMA_VULKAN=ON -DBUILD_SHARED_LIBS=ON'
-          - build: 'arm64'
-            defines: '-A ARM64 -DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DBUILD_SHARED_LIBS=ON'
+          - build: 'llvm-arm64'
+            defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-llvm.cmake -DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DBUILD_SHARED_LIBS=ON'
+          - build: 'msvc-arm64'
+            defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-msvc.cmake -DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DBUILD_SHARED_LIBS=ON'
 
     steps:
       - name: Clone
@@ -691,34 +724,13 @@ jobs:
 
       - name: Clone Kompute submodule
         id: clone_kompute
-        if: ${{ matrix.build == 'kompute' }}
+        if: ${{ matrix.build == 'kompute-x64' }}
         run: |
           git submodule update --init kompute
 
-      - name: Download OpenCL SDK
-        id: get_opencl
-        if: ${{ matrix.build == 'clblast' }}
-        run: |
-          curl.exe -o $env:RUNNER_TEMP/opencl.zip -L "https://github.com/KhronosGroup/OpenCL-SDK/releases/download/v${env:OPENCL_VERSION}/OpenCL-SDK-v${env:OPENCL_VERSION}-Win-x64.zip"
-          mkdir $env:RUNNER_TEMP/opencl
-          tar.exe -xvf $env:RUNNER_TEMP/opencl.zip --strip-components=1 -C $env:RUNNER_TEMP/opencl
-
-      - name: Download CLBlast
-        id: get_clblast
-        if: ${{ matrix.build == 'clblast' }}
-        run: |
-          curl.exe -o $env:RUNNER_TEMP/clblast.7z -L "https://github.com/CNugteren/CLBlast/releases/download/${env:CLBLAST_VERSION}/CLBlast-${env:CLBLAST_VERSION}-windows-x64.7z"
-          curl.exe -o $env:RUNNER_TEMP/CLBlast.LICENSE.txt -L "https://github.com/CNugteren/CLBlast/raw/${env:CLBLAST_VERSION}/LICENSE"
-          7z x "-o${env:RUNNER_TEMP}" $env:RUNNER_TEMP/clblast.7z
-          rename-item $env:RUNNER_TEMP/CLBlast-${env:CLBLAST_VERSION}-windows-x64 clblast
-          foreach ($f in (gci -Recurse -Path "$env:RUNNER_TEMP/clblast" -Filter '*.cmake')) {
-            $txt = Get-Content -Path $f -Raw
-            $txt.Replace('C:/vcpkg/packages/opencl_x64-windows/', "$($env:RUNNER_TEMP.Replace('\','/'))/opencl/") | Set-Content -Path $f -Encoding UTF8
-          }
-
       - name: Download OpenBLAS
         id: get_openblas
-        if: ${{ matrix.build == 'openblas' }}
+        if: ${{ matrix.build == 'openblas-x64' }}
         run: |
           curl.exe -o $env:RUNNER_TEMP/openblas.zip -L "https://github.com/xianyi/OpenBLAS/releases/download/v${env:OPENBLAS_VERSION}/OpenBLAS-${env:OPENBLAS_VERSION}-x64.zip"
           curl.exe -o $env:RUNNER_TEMP/OpenBLAS.LICENSE.txt -L "https://github.com/xianyi/OpenBLAS/raw/v${env:OPENBLAS_VERSION}/LICENSE"
@@ -731,38 +743,34 @@ jobs:
 
       - name: Install Vulkan SDK
         id: get_vulkan
-        if: ${{ matrix.build == 'kompute' || matrix.build == 'vulkan' }}
+        if: ${{ matrix.build == 'kompute-x64' || matrix.build == 'vulkan-x64' }}
         run: |
           curl.exe -o $env:RUNNER_TEMP/VulkanSDK-Installer.exe -L "https://sdk.lunarg.com/sdk/download/${env:VULKAN_VERSION}/windows/VulkanSDK-${env:VULKAN_VERSION}-Installer.exe"
           & "$env:RUNNER_TEMP\VulkanSDK-Installer.exe" --accept-licenses --default-answer --confirm-command install
           Add-Content $env:GITHUB_ENV "VULKAN_SDK=C:\VulkanSDK\${env:VULKAN_VERSION}"
           Add-Content $env:GITHUB_PATH "C:\VulkanSDK\${env:VULKAN_VERSION}\bin"
 
+      - name: Install Ninja
+        id: install_ninja
+        run: |
+          choco install ninja
+
       - name: Build
         id: cmake_build
         run: |
-          mkdir build
-          cd build
-          cmake .. ${{ matrix.defines }}
-          cmake --build . --config Release -j ${env:NUMBER_OF_PROCESSORS}
-
-      - name: Add clblast.dll
-        id: add_clblast_dll
-        if: ${{ matrix.build == 'clblast' }}
-        run: |
-          cp $env:RUNNER_TEMP/clblast/lib/clblast.dll ./build/bin/Release
-          cp $env:RUNNER_TEMP/CLBlast.LICENSE.txt ./build/bin/Release/CLBlast-${env:CLBLAST_VERSION}.txt
+          cmake -S . -B build ${{ matrix.defines }}
+          cmake --build build --config Release -j ${env:NUMBER_OF_PROCESSORS}
 
       - name: Add libopenblas.dll
         id: add_libopenblas_dll
-        if: ${{ matrix.build == 'openblas' }}
+        if: ${{ matrix.build == 'openblas-x64' }}
         run: |
           cp $env:RUNNER_TEMP/openblas/bin/libopenblas.dll ./build/bin/Release/openblas.dll
           cp $env:RUNNER_TEMP/OpenBLAS.LICENSE.txt ./build/bin/Release/OpenBLAS-${env:OPENBLAS_VERSION}.txt
 
       - name: Check AVX512F support
         id: check_avx512f
-        if: ${{ matrix.build == 'avx512' }}
+        if: ${{ matrix.build == 'avx512-x64' }}
         continue-on-error: true
         run: |
           cd build
@@ -776,14 +784,14 @@ jobs:
       - name: Test
         id: cmake_test
         # not all machines have native AVX-512
-        if: ${{ matrix.build != 'arm64' && matrix.build != 'clblast' && matrix.build != 'kompute' && matrix.build != 'vulkan' && (matrix.build != 'avx512' || env.HAS_AVX512F == '1') }}
+        if: ${{ matrix.build != 'msvc-arm64' && matrix.build != 'llvm-arm64' && matrix.build != 'kompute-x64' && matrix.build != 'vulkan-x64' && (matrix.build != 'avx512-x64' || env.HAS_AVX512F == '1') }}
         run: |
           cd build
           ctest -L main -C Release --verbose --timeout 900
 
       - name: Test (Intel SDE)
         id: cmake_test_sde
-        if: ${{ matrix.build == 'avx512' && env.HAS_AVX512F == '0' }} # use Intel SDE for AVX-512 emulation
+        if: ${{ matrix.build == 'avx512-x64' && env.HAS_AVX512F == '0' }} # use Intel SDE for AVX-512 emulation
         run: |
           curl.exe -o $env:RUNNER_TEMP/sde.tar.xz -L "https://downloadmirror.intel.com/813591/sde-external-${env:SDE_VERSION}-win.tar.xz"
           # for some weird reason windows tar doesn't like sde tar.xz
@@ -811,14 +819,14 @@ jobs:
         if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}
         run: |
           Copy-Item LICENSE .\build\bin\Release\llama.cpp.txt
-          7z a llama-${{ steps.tag.outputs.name }}-bin-win-${{ matrix.build }}-x64.zip .\build\bin\Release\*
+          7z a llama-${{ steps.tag.outputs.name }}-bin-win-${{ matrix.build }}.zip .\build\bin\Release\*
 
       - name: Upload artifacts
         if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}
         uses: actions/upload-artifact@v4
         with:
-          path: llama-${{ steps.tag.outputs.name }}-bin-win-${{ matrix.build }}-x64.zip
-          name: llama-bin-win-${{ matrix.build }}-x64.zip
+          path: llama-${{ steps.tag.outputs.name }}-bin-win-${{ matrix.build }}.zip
+          name: llama-bin-win-${{ matrix.build }}.zip
 
   windows-latest-cmake-cuda:
     runs-on: windows-latest
@@ -952,6 +960,37 @@ jobs:
           path: llama-${{ steps.tag.outputs.name }}-bin-win-sycl-x64.zip
           name: llama-bin-win-sycl-x64.zip
 
+  windows-latest-cmake-hip:
+    runs-on: windows-latest
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v3
+
+      - name: Install
+        id: depends
+        run: |
+          $ErrorActionPreference = "Stop"
+          write-host "Downloading AMD HIP SDK Installer"
+          Invoke-WebRequest -Uri "https://download.amd.com/developer/eula/rocm-hub/AMD-Software-PRO-Edition-23.Q4-WinSvr2022-For-HIP.exe" -OutFile "${env:RUNNER_TEMP}\rocm-install.exe"
+          write-host "Installing AMD HIP SDK"
+          Start-Process "${env:RUNNER_TEMP}\rocm-install.exe" -ArgumentList '-install' -NoNewWindow -Wait
+          write-host "Completed AMD HIP SDK installation"
+
+      - name: Verify ROCm
+        id: verify
+        run: |
+          & 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' --version
+
+      - name: Build
+        id: cmake_build
+        run: |
+          $env:HIP_PATH=$(Resolve-Path 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | split-path | split-path)
+          $env:CMAKE_PREFIX_PATH="${env:HIP_PATH}"
+          cmake -G "Unix Makefiles" -B build -S . -DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" -DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" -DLLAMA_HIPBLAS=ON
+          cmake --build build --config Release
+
   ios-xcode-build:
     runs-on: macos-latest
 
@@ -1000,7 +1039,7 @@ jobs:
 #        hypervisor: 'qemu'
 #        run: |
 #            sudo pkg update
-#            sudo pkg install -y gmake automake autoconf pkgconf llvm15 clinfo clover opencl clblast openblas
+#            sudo pkg install -y gmake automake autoconf pkgconf llvm15 openblas
 #            gmake CC=/usr/local/bin/clang15 CXX=/usr/local/bin/clang++15 -j `sysctl -n hw.ncpu`
 
   release:
diff --git a/.github/workflows/labeler.yml b/.github/workflows/labeler.yml
new file mode 100644
index 000000000..368dbdbe5
--- /dev/null
+++ b/.github/workflows/labeler.yml
@@ -0,0 +1,17 @@
+name: "Pull Request Labeler"
+on:
+- pull_request_target
+
+jobs:
+  labeler:
+    permissions:
+      contents: read
+      pull-requests: write
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v4
+      with:
+        repository: "ggerganov/llama.cpp"
+    - uses: actions/labeler@v5
+      with:
+        configuration-path: '.github/labeler.yml'
diff --git a/.github/workflows/server.yml b/.github/workflows/server.yml
index afac89c5b..0789efd18 100644
--- a/.github/workflows/server.yml
+++ b/.github/workflows/server.yml
@@ -32,10 +32,8 @@ jobs:
 
     strategy:
       matrix:
-        # TODO: temporary disabled due to linux kernel issues
-        #sanitizer: [ADDRESS, THREAD, UNDEFINED]
-        sanitizer: [UNDEFINED]
-        build_type: [Debug]
+        sanitizer: [ADDRESS, THREAD, UNDEFINED]
+        build_type: [RelWithDebInfo]
         include:
           - build_type: Release
             sanitizer: ""
@@ -102,10 +100,8 @@ jobs:
               -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON ;
           cmake --build build --config ${{ matrix.build_type }} -j $(nproc) --target server
 
-
       - name: Tests
         id: server_integration_tests
-        if: ${{ !matrix.disabled_on_pr || !github.event.pull_request }}
         run: |
           cd examples/server/tests
           PORT=8888 ./tests.sh
diff --git a/.github/workflows/zig-build.yml b/.github/workflows/zig-build.yml
deleted file mode 100644
index 747c35cc0..000000000
--- a/.github/workflows/zig-build.yml
+++ /dev/null
@@ -1,29 +0,0 @@
-name: Zig CI
-
-on:
-  pull_request:
-  push:
-    branches:
-      - master
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  build:
-    strategy:
-      fail-fast: false
-      matrix:
-        runs-on: [ubuntu-latest, macos-latest, windows-latest]
-    runs-on: ${{ matrix.runs-on }}
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          submodules: recursive
-          fetch-depth: 0
-      - uses: goto-bus-stop/setup-zig@v2
-        with:
-          version: 0.11.0
-      - name: Build Summary
-        run: zig build --summary all -freference-trace
diff --git a/.gitignore b/.gitignore
index 50ae0973a..5223c6963 100644
--- a/.gitignore
+++ b/.gitignore
@@ -34,9 +34,11 @@ ggml-metal-embed.metal
 lcov-report/
 gcovr-report/
 
+tags
 build*
 !build.zig
 cmake-build-*
+android-ndk-*
 out/
 tmp/
 
@@ -105,6 +107,7 @@ examples/jeopardy/results.txt
 examples/server/*.html.hpp
 examples/server/*.js.hpp
 examples/server/*.mjs.hpp
+examples/server/*.css.hpp
 
 poetry.lock
 poetry.toml
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 1c3b5c8e4..cf37d5bb2 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -1,4 +1,4 @@
-cmake_minimum_required(VERSION 3.14)  # for add_link_options and implicit target directories.
+cmake_minimum_required(VERSION 3.14) # for add_link_options and implicit target directories.
 project("llama.cpp" C CXX)
 include(CheckIncludeFileCXX)
 
@@ -72,11 +72,13 @@ else()
     set(INS_ENB ON)
 endif()
 
+option(LLAMA_SVE                             "llama: enable SVE"                                OFF)
 option(LLAMA_AVX                             "llama: enable AVX"                                ${INS_ENB})
 option(LLAMA_AVX2                            "llama: enable AVX2"                               ${INS_ENB})
 option(LLAMA_AVX512                          "llama: enable AVX512"                             OFF)
 option(LLAMA_AVX512_VBMI                     "llama: enable AVX512-VBMI"                        OFF)
 option(LLAMA_AVX512_VNNI                     "llama: enable AVX512-VNNI"                        OFF)
+option(LLAMA_AVX512_BF16                     "llama: enable AVX512-BF16"                        OFF)
 option(LLAMA_FMA                             "llama: enable FMA"                                ${INS_ENB})
 # in MSVC F16C is implied with AVX2/AVX512
 if (NOT MSVC)
@@ -104,11 +106,11 @@ set(LLAMA_CUDA_PEER_MAX_BATCH_SIZE "128" CACHE STRING
                                              "llama: max. batch size for using peer access")
 option(LLAMA_CUDA_NO_PEER_COPY               "llama: do not use peer to peer copies"            OFF)
 option(LLAMA_CUDA_NO_VMM                     "llama: do not try to use CUDA VMM"                OFF)
+option(LLAMA_CUDA_FA_ALL_QUANTS              "llama: compile all quants for FlashAttention"     OFF)
 
 option(LLAMA_CURL                            "llama: use libcurl to download model from an URL" OFF)
 option(LLAMA_HIPBLAS                         "llama: use hipBLAS"                               OFF)
 option(LLAMA_HIP_UMA                         "llama: use HIP unified memory architecture"       OFF)
-option(LLAMA_CLBLAST                         "llama: use CLBlast"                               OFF)
 option(LLAMA_VULKAN                          "llama: use Vulkan"                                OFF)
 option(LLAMA_VULKAN_CHECK_RESULTS            "llama: run Vulkan op checks"                      OFF)
 option(LLAMA_VULKAN_DEBUG                    "llama: enable Vulkan debug output"                OFF)
@@ -122,8 +124,8 @@ set(LLAMA_METAL_MACOSX_VERSION_MIN "" CACHE STRING
                                              "llama: metal minimum macOS version")
 set(LLAMA_METAL_STD "" CACHE STRING          "llama: metal standard version (-std flag)")
 option(LLAMA_KOMPUTE                         "llama: use Kompute"                               OFF)
-option(LLAMA_MPI                             "llama: use MPI"                                   OFF)
-option(LLAMA_QKK_64                          "llama: use super-block size of 64 for k-quants"   OFF)
+option(LLAMA_RPC                             "llama: use RPC"                                   OFF)
+option(LLAMA_OPENMP                          "llama: use OpenMP"                                ON)
 option(LLAMA_SYCL                            "llama: use SYCL"                                  OFF)
 option(LLAMA_SYCL_F16                        "llama: use 16 bit floats for sycl calculations"   OFF)
 set(LLAMA_SYCL_TARGET   "INTEL" CACHE STRING "llama: sycl target device")
@@ -133,6 +135,8 @@ set(LLAMA_SCHED_MAX_COPIES  "4" CACHE STRING "llama: max input copies for pipeli
 option(LLAMA_BUILD_TESTS                     "llama: build tests"    ${LLAMA_STANDALONE})
 option(LLAMA_BUILD_EXAMPLES                  "llama: build examples" ${LLAMA_STANDALONE})
 option(LLAMA_BUILD_SERVER                    "llama: build server example"                      ON)
+option(LLAMA_LASX                            "llama: enable lasx"                               ON)
+option(LLAMA_LSX                             "llama: enable lsx"                                ON)
 
 # add perf arguments
 option(LLAMA_PERF                            "llama: enable perf"                               OFF)
@@ -292,6 +296,17 @@ if (LLAMA_METAL)
         )
 endif()
 
+if (LLAMA_OPENMP)
+    find_package(OpenMP)
+    if (OpenMP_FOUND)
+        message(STATUS "OpenMP found")
+        add_compile_definitions(GGML_USE_OPENMP)
+        set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} OpenMP::OpenMP_C OpenMP::OpenMP_CXX)
+    else()
+        message(WARNING "OpenMP not found")
+    endif()
+endif()
+
 if (LLAMA_BLAS)
     if (LLAMA_STATIC)
         set(BLA_STATIC ON)
@@ -381,10 +396,6 @@ if (LLAMA_LLAMAFILE)
     set(GGML_SOURCES_LLAMAFILE sgemm.cpp)
 endif()
 
-if (LLAMA_QKK_64)
-    add_compile_definitions(GGML_QKK_64)
-endif()
-
 if (LLAMA_CUBLAS)
     message(WARNING "LLAMA_CUBLAS is deprecated and will be removed in the future.\nUse LLAMA_CUDA instead")
     set(LLAMA_CUDA ON)
@@ -403,6 +414,8 @@ if (LLAMA_CUDA)
 
         file(GLOB GGML_SOURCES_CUDA "ggml-cuda/*.cu")
         list(APPEND GGML_SOURCES_CUDA "ggml-cuda.cu")
+        file(GLOB SRCS "ggml-cuda/template-instances/fattn-wmma*.cu")
+        list(APPEND GGML_SOURCES_CUDA ${SRCS})
 
         add_compile_definitions(GGML_USE_CUDA)
         add_compile_definitions(GGML_CUDA_USE_GRAPHS)
@@ -428,6 +441,18 @@ if (LLAMA_CUDA)
         if (LLAMA_CUDA_NO_PEER_COPY)
             add_compile_definitions(GGML_CUDA_NO_PEER_COPY)
         endif()
+        if (LLAMA_CUDA_FA_ALL_QUANTS)
+            file(GLOB SRCS "ggml-cuda/template-instances/fattn-vec*.cu")
+            list(APPEND GGML_SOURCES_CUDA ${SRCS})
+            add_compile_definitions(GGML_CUDA_FA_ALL_QUANTS)
+        else()
+            file(GLOB SRCS "ggml-cuda/template-instances/fattn-vec*q4_0-q4_0.cu")
+            list(APPEND GGML_SOURCES_CUDA ${SRCS})
+            file(GLOB SRCS "ggml-cuda/template-instances/fattn-vec*q8_0-q8_0.cu")
+            list(APPEND GGML_SOURCES_CUDA ${SRCS})
+            file(GLOB SRCS "ggml-cuda/template-instances/fattn-vec*f16-f16.cu")
+            list(APPEND GGML_SOURCES_CUDA ${SRCS})
+        endif()
 
         if (LLAMA_STATIC)
             if (WIN32)
@@ -465,49 +490,15 @@ if (LLAMA_CUDA)
     endif()
 endif()
 
-if (LLAMA_MPI)
-    cmake_minimum_required(VERSION 3.10)
-    find_package(MPI)
-    if (MPI_C_FOUND)
-        message(STATUS "MPI found")
+if (LLAMA_RPC)
+    add_compile_definitions(GGML_USE_RPC)
 
-        set(GGML_HEADERS_MPI ggml-mpi.h)
-        set(GGML_SOURCES_MPI ggml-mpi.c)
-
-        add_compile_definitions(GGML_USE_MPI)
-        add_compile_definitions(${MPI_C_COMPILE_DEFINITIONS})
-
-        if (NOT MSVC)
-            add_compile_options(-Wno-cast-qual)
-        endif()
-
-        set(LLAMA_EXTRA_LIBS     ${LLAMA_EXTRA_LIBS}     ${MPI_C_LIBRARIES})
-        set(LLAMA_EXTRA_INCLUDES ${LLAMA_EXTRA_INCLUDES} ${MPI_C_INCLUDE_DIRS})
-
-        # Even if you're only using the C header, C++ programs may bring in MPI
-        # C++ functions, so more linkage is needed
-        if (MPI_CXX_FOUND)
-            set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS}     ${MPI_CXX_LIBRARIES})
-        endif()
-    else()
-        message(WARNING "MPI not found")
+    if (WIN32)
+        set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ws2_32)
     endif()
-endif()
 
-if (LLAMA_CLBLAST)
-    find_package(CLBlast)
-    if (CLBlast_FOUND)
-        message(STATUS "CLBlast found")
-
-        set(GGML_HEADERS_OPENCL ggml-opencl.h)
-        set(GGML_SOURCES_OPENCL ggml-opencl.cpp)
-
-        add_compile_definitions(GGML_USE_CLBLAST)
-
-        set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} clblast)
-    else()
-        message(WARNING "CLBlast not found")
-    endif()
+    set(GGML_HEADERS_RPC ggml-rpc.h)
+    set(GGML_SOURCES_RPC ggml-rpc.cpp)
 endif()
 
 if (LLAMA_VULKAN)
@@ -520,6 +511,12 @@ if (LLAMA_VULKAN)
 
         add_compile_definitions(GGML_USE_VULKAN)
 
+        # Workaround to the "can't dereference invalidated vector iterator" bug in clang-cl debug build
+        # Posssibly relevant: https://stackoverflow.com/questions/74748276/visual-studio-no-displays-the-correct-length-of-stdvector
+        if (MSVC AND CMAKE_CXX_COMPILER_ID STREQUAL "Clang")
+            add_compile_definitions(_ITERATOR_DEBUG_LEVEL=0)
+        endif()
+
         if (LLAMA_VULKAN_CHECK_RESULTS)
             add_compile_definitions(GGML_VULKAN_CHECK_RESULTS)
         endif()
@@ -543,16 +540,42 @@ if (LLAMA_VULKAN)
 endif()
 
 if (LLAMA_HIPBLAS)
-    list(APPEND CMAKE_PREFIX_PATH /opt/rocm)
+    if (NOT EXISTS $ENV{ROCM_PATH})
+        if (NOT EXISTS /opt/rocm)
+            set(ROCM_PATH /usr)
+        else()
+            set(ROCM_PATH /opt/rocm)
+        endif()
+    else()
+        set(ROCM_PATH $ENV{ROCM_PATH})
+    endif()
+    list(APPEND CMAKE_PREFIX_PATH ${ROCM_PATH})
+    list(APPEND CMAKE_PREFIX_PATH "${ROCM_PATH}/lib64/cmake")
 
-    if (NOT ${CMAKE_C_COMPILER_ID} MATCHES "Clang")
-        message(WARNING "Only LLVM is supported for HIP, hint: CC=/opt/rocm/llvm/bin/clang")
+    # CMake on Windows doesn't support the HIP language yet
+    if(WIN32)
+        set(CXX_IS_HIPCC TRUE)
+    else()
+        string(REGEX MATCH "hipcc(\.bat)?$" CXX_IS_HIPCC "${CMAKE_CXX_COMPILER}")
     endif()
 
-    if (NOT ${CMAKE_CXX_COMPILER_ID} MATCHES "Clang")
-        message(WARNING "Only LLVM is supported for HIP, hint: CXX=/opt/rocm/llvm/bin/clang++")
-    endif()
+    if(CXX_IS_HIPCC)
+        if(LINUX)
+            if (NOT ${CMAKE_CXX_COMPILER_ID} MATCHES "Clang")
+                message(WARNING "Only LLVM is supported for HIP, hint: CXX=/opt/rocm/llvm/bin/clang++")
+            endif()
 
+            message(WARNING "Setting hipcc as the C++ compiler is legacy behavior."
+                    " Prefer setting the HIP compiler directly. See README for details.")
+        endif()
+    else()
+        # Forward AMDGPU_TARGETS to CMAKE_HIP_ARCHITECTURES.
+        if(AMDGPU_TARGETS AND NOT CMAKE_HIP_ARCHITECTURES)
+            set(CMAKE_HIP_ARCHITECTURES ${AMDGPU_TARGETS})
+        endif()
+        cmake_minimum_required(VERSION 3.21)
+        enable_language(HIP)
+    endif()
     find_package(hip     REQUIRED)
     find_package(hipblas REQUIRED)
     find_package(rocblas REQUIRED)
@@ -563,6 +586,8 @@ if (LLAMA_HIPBLAS)
 
     file(GLOB GGML_SOURCES_ROCM "ggml-cuda/*.cu")
     list(APPEND GGML_SOURCES_ROCM "ggml-cuda.cu")
+    file(GLOB SRCS "ggml-cuda/template-instances/fattn-wmma*.cu")
+    list(APPEND GGML_SOURCES_ROCM ${SRCS})
 
     add_compile_definitions(GGML_USE_HIPBLAS GGML_USE_CUDA)
 
@@ -582,17 +607,35 @@ if (LLAMA_HIPBLAS)
         add_compile_definitions(GGML_CUDA_NO_PEER_COPY)
     endif()
 
+    if (LLAMA_CUDA_FA_ALL_QUANTS)
+        file(GLOB SRCS "ggml-cuda/template-instances/fattn-vec*.cu")
+        list(APPEND GGML_SOURCES_ROCM ${SRCS})
+        add_compile_definitions(GGML_CUDA_FA_ALL_QUANTS)
+    else()
+        file(GLOB SRCS "ggml-cuda/template-instances/fattn-vec*q4_0-q4_0.cu")
+        list(APPEND GGML_SOURCES_ROCM ${SRCS})
+        file(GLOB SRCS "ggml-cuda/template-instances/fattn-vec*q8_0-q8_0.cu")
+        list(APPEND GGML_SOURCES_ROCM ${SRCS})
+        file(GLOB SRCS "ggml-cuda/template-instances/fattn-vec*f16-f16.cu")
+        list(APPEND GGML_SOURCES_ROCM ${SRCS})
+    endif()
+
     add_compile_definitions(GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X})
     add_compile_definitions(GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y})
     add_compile_definitions(K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER})
 
-    set_source_files_properties(${GGML_SOURCES_ROCM} PROPERTIES LANGUAGE CXX)
+    if (CXX_IS_HIPCC)
+        set_source_files_properties(${GGML_SOURCES_ROCM} PROPERTIES LANGUAGE CXX)
+        set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} hip::device)
+    else()
+        set_source_files_properties(${GGML_SOURCES_ROCM} PROPERTIES LANGUAGE HIP)
+    endif()
 
     if (LLAMA_STATIC)
         message(FATAL_ERROR "Static linking not supported for HIP/ROCm")
     endif()
 
-    set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} hip::device PUBLIC hip::host roc::rocblas roc::hipblas)
+    set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} PUBLIC hip::host roc::rocblas roc::hipblas)
 endif()
 
 if (LLAMA_SYCL)
@@ -615,6 +658,10 @@ if (LLAMA_SYCL)
         add_compile_definitions(GGML_SYCL_F16)
     endif()
 
+    if (LLAMA_CUDA_FORCE_MMQ)
+        add_compile_definitions(GGML_SYCL_FORCE_MMQ)
+    endif()
+
     add_compile_options(-I./) #include DPCT
     add_compile_options(-I/${SYCL_INCLUDE_DIR})
 
@@ -730,6 +777,7 @@ if (LLAMA_KOMPUTE)
             kompute-shaders/op_mul_mat_q4_0.comp
             kompute-shaders/op_mul_mat_q4_1.comp
             kompute-shaders/op_mul_mat_q6_k.comp
+            kompute-shaders/op_getrows_f32.comp
             kompute-shaders/op_getrows_f16.comp
             kompute-shaders/op_getrows_q4_0.comp
             kompute-shaders/op_getrows_q4_1.comp
@@ -762,6 +810,7 @@ if (LLAMA_KOMPUTE)
             shaderop_mul_mat_q4_0.h
             shaderop_mul_mat_q4_1.h
             shaderop_mul_mat_q6_k.h
+            shaderop_getrows_f32.h
             shaderop_getrows_f16.h
             shaderop_getrows_q4_0.h
             shaderop_getrows_q4_1.h
@@ -995,6 +1044,11 @@ if (CMAKE_OSX_ARCHITECTURES STREQUAL "arm64" OR CMAKE_GENERATOR_PLATFORM_LWR STR
         if (GGML_COMPILER_SUPPORT_DOTPROD)
             add_compile_definitions(__ARM_FEATURE_DOTPROD)
         endif ()
+        check_cxx_source_compiles("#include <arm_neon.h>\nint main() { int8x16_t _a, _b; int32x4_t _s = vmlaq_f32(_s, _a, _b); return 0; }" GGML_COMPILER_SUPPORT_MATMUL_INT8)
+        if (GGML_COMPILER_SUPPORT_MATMUL_INT8)
+            add_compile_definitions(__ARM_FEATURE_MATMUL_INT8)
+        endif ()
+
         check_cxx_source_compiles("#include <arm_neon.h>\nint main() { float16_t _a; float16x8_t _s = vdupq_n_f16(_a); return 0; }" GGML_COMPILER_SUPPORT_FP16_VECTOR_ARITHMETIC)
         if (GGML_COMPILER_SUPPORT_FP16_VECTOR_ARITHMETIC)
             add_compile_definitions(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC)
@@ -1023,6 +1077,9 @@ if (CMAKE_OSX_ARCHITECTURES STREQUAL "arm64" OR CMAKE_GENERATOR_PLATFORM_LWR STR
             # Raspberry Pi 3, 4, Zero 2 (32-bit)
             list(APPEND ARCH_FLAGS -mno-unaligned-access)
         endif()
+        if (LLAMA_SVE)
+            list(APPEND ARCH_FLAGS -march=armv8.6-a+sve)
+        endif()
     endif()
 elseif (CMAKE_OSX_ARCHITECTURES STREQUAL "x86_64" OR CMAKE_GENERATOR_PLATFORM_LWR MATCHES "^(x86_64|i686|amd64|x64|win32)$" OR
         (NOT CMAKE_OSX_ARCHITECTURES AND NOT CMAKE_GENERATOR_PLATFORM_LWR AND
@@ -1047,6 +1104,10 @@ elseif (CMAKE_OSX_ARCHITECTURES STREQUAL "x86_64" OR CMAKE_GENERATOR_PLATFORM_LW
                 add_compile_definitions($<$<COMPILE_LANGUAGE:C>:__AVX512VNNI__>)
                 add_compile_definitions($<$<COMPILE_LANGUAGE:CXX>:__AVX512VNNI__>)
             endif()
+            if (LLAMA_AVX512_BF16)
+                add_compile_definitions($<$<COMPILE_LANGUAGE:C>:__AVX512BF16__>)
+                add_compile_definitions($<$<COMPILE_LANGUAGE:CXX>:__AVX512BF16__>)
+            endif()
         elseif (LLAMA_AVX2)
             list(APPEND ARCH_FLAGS /arch:AVX2)
         elseif (LLAMA_AVX)
@@ -1078,6 +1139,9 @@ elseif (CMAKE_OSX_ARCHITECTURES STREQUAL "x86_64" OR CMAKE_GENERATOR_PLATFORM_LW
         if (LLAMA_AVX512_VNNI)
             list(APPEND ARCH_FLAGS -mavx512vnni)
         endif()
+        if (LLAMA_AVX512_BF16)
+            list(APPEND ARCH_FLAGS -mavx512bf16)
+        endif()
     endif()
 elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "ppc64")
     message(STATUS "PowerPC detected")
@@ -1087,6 +1151,17 @@ elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "ppc64")
         list(APPEND ARCH_FLAGS -mcpu=native -mtune=native)
         #TODO: Add  targets for Power8/Power9 (Altivec/VSX) and Power10(MMA) and query for big endian systems (ppc64/le/be)
     endif()
+elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "loongarch64")
+    message(STATUS "loongarch64 detected")
+
+    list(APPEND ARCH_FLAGS -march=loongarch64)
+    if (LLAMA_LASX)
+        list(APPEND ARCH_FLAGS -mlasx)
+    endif()
+    if (LLAMA_LSX)
+        list(APPEND ARCH_FLAGS -mlsx)
+    endif()
+
 else()
     message(STATUS "Unknown architecture")
 endif()
@@ -1173,9 +1248,8 @@ add_library(ggml OBJECT
             ggml-quants.c
             ggml-quants.h
             ${GGML_SOURCES_CUDA}      ${GGML_HEADERS_CUDA}
-            ${GGML_SOURCES_OPENCL}    ${GGML_HEADERS_OPENCL}
             ${GGML_SOURCES_METAL}     ${GGML_HEADERS_METAL}
-            ${GGML_SOURCES_MPI}       ${GGML_HEADERS_MPI}
+            ${GGML_SOURCES_RPC}       ${GGML_HEADERS_RPC}
             ${GGML_SOURCES_EXTRA}     ${GGML_HEADERS_EXTRA}
             ${GGML_SOURCES_SYCL}      ${GGML_HEADERS_SYCL}
             ${GGML_SOURCES_KOMPUTE}   ${GGML_HEADERS_KOMPUTE}
@@ -1261,8 +1335,9 @@ install(FILES ${CMAKE_CURRENT_BINARY_DIR}/LlamaConfig.cmake
         DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/Llama)
 
 set(GGML_PUBLIC_HEADERS "ggml.h" "ggml-alloc.h" "ggml-backend.h"
-        "${GGML_HEADERS_CUDA}"  "${GGML_HEADERS_OPENCL}"
-        "${GGML_HEADERS_METAL}" "${GGML_HEADERS_MPI}" "${GGML_HEADERS_EXTRA}")
+        "${GGML_HEADERS_CUDA}"
+        "${GGML_HEADERS_METAL}"
+        "${GGML_HEADERS_EXTRA}")
 
 set_target_properties(ggml PROPERTIES PUBLIC_HEADER "${GGML_PUBLIC_HEADERS}")
 install(TARGETS ggml PUBLIC_HEADER)
@@ -1271,7 +1346,7 @@ set_target_properties(llama PROPERTIES PUBLIC_HEADER ${CMAKE_CURRENT_SOURCE_DIR}
 install(TARGETS llama LIBRARY PUBLIC_HEADER)
 
 install(
-    FILES convert.py
+    FILES convert-hf-to-gguf.py
     PERMISSIONS
         OWNER_READ
         OWNER_WRITE
@@ -1298,6 +1373,13 @@ if (LLAMA_METAL)
     endif()
 endif()
 
+configure_file(cmake/llama.pc.in
+        "${CMAKE_CURRENT_BINARY_DIR}/llama.pc"
+        @ONLY)
+
+install(FILES "${CMAKE_CURRENT_BINARY_DIR}/llama.pc"
+        DESTINATION lib/pkgconfig)
+
 #
 # programs, examples and tests
 #
diff --git a/CMakePresets.json b/CMakePresets.json
new file mode 100644
index 000000000..e2b7a79e3
--- /dev/null
+++ b/CMakePresets.json
@@ -0,0 +1,49 @@
+{
+  "version": 4,
+  "configurePresets": [
+    {
+        "name":  "base",
+        "hidden": true,
+        "generator":   "Ninja",
+        "binaryDir":   "${sourceDir}/build-${presetName}",
+        "cacheVariables": {
+            "CMAKE_EXPORT_COMPILE_COMMANDS": "ON",
+            "CMAKE_INSTALL_RPATH": "$ORIGIN;$ORIGIN/.."
+        }
+    },
+
+    { "name": "debug",   "hidden": true, "cacheVariables": { "CMAKE_BUILD_TYPE": "Debug" } },
+    { "name": "release", "hidden": true, "cacheVariables": { "CMAKE_BUILD_TYPE": "RelWithDebInfo" } },
+    { "name": "static",  "hidden": true, "cacheVariables": { "LLAMA_STATIC": "ON" } },
+
+    {
+        "name": "arm64-windows-msvc", "hidden": true,
+        "architecture": { "value": "arm64",       "strategy": "external" },
+        "toolset":      { "value": "host=x86_64", "strategy": "external" },
+        "cacheVariables": {
+            "CMAKE_TOOLCHAIN_FILE": "${sourceDir}/cmake/arm64-windows-msvc.cmake"
+        }
+    },
+
+    {
+        "name": "arm64-windows-llvm", "hidden": true,
+        "architecture": { "value": "arm64",       "strategy": "external" },
+        "toolset":      { "value": "host=x86_64", "strategy": "external" },
+        "cacheVariables": {
+            "CMAKE_TOOLCHAIN_FILE": "${sourceDir}/cmake/arm64-windows-llvm.cmake"
+        }
+    },
+
+    { "name": "arm64-windows-llvm-debug"  , "inherits": [ "base", "arm64-windows-llvm",  "debug"   ] },
+    { "name": "arm64-windows-llvm-release", "inherits": [ "base", "arm64-windows-llvm",  "release" ] },
+    { "name": "arm64-windows-llvm+static-release", "inherits": [ "base", "arm64-windows-llvm",  "release", "static" ] },
+
+    { "name": "arm64-windows-msvc-debug"  , "inherits": [ "base", "arm64-windows-msvc",  "debug"   ] },
+    { "name": "arm64-windows-msvc-release", "inherits": [ "base", "arm64-windows-msvc",  "release" ] },
+    { "name": "arm64-windows-msvc+static-release", "inherits": [ "base", "arm64-windows-msvc",  "release", "static" ] },
+
+    { "name": "x64-windows-msvc-debug"  , "inherits": [ "base", "debug"   ] },
+    { "name": "x64-windows-msvc-release", "inherits": [ "base", "release" ] },
+    { "name": "x64-windows-msvc+static-release", "inherits": [ "base", "release", "static" ] }
+  ]
+}
diff --git a/Makefile b/Makefile
index 3fa56d13a..802ee6a47 100644
--- a/Makefile
+++ b/Makefile
@@ -1,7 +1,7 @@
 # Define the default target now so that it is always the first target
 BUILD_TARGETS = \
 	main quantize quantize-stats perplexity imatrix embedding vdot q8dot train-text-from-scratch convert-llama2c-to-ggml \
-	simple batched batched-bench save-load-state server gguf gguf-split eval-callback llama-bench libllava.a llava-cli baby-llama beam-search  \
+	simple batched batched-bench save-load-state server gguf gguf-split eval-callback llama-bench libllava.a llava-cli baby-llama \
 	retrieval speculative infill tokenize benchmark-matmult parallel finetune export-lora lookahead lookup passkey gritlm tests/test-c.o
 
 # Binaries only useful for tests
@@ -57,6 +57,8 @@ ifeq ($(UNAME_S),Darwin)
 		LLAMA_METAL := 1
 	endif
 
+	LLAMA_NO_OPENMP := 1
+
 	ifneq ($(UNAME_P),arm)
 		SYSCTL_M := $(shell sysctl -n hw.optional.arm64 2>/dev/null)
 		ifeq ($(SYSCTL_M),1)
@@ -67,6 +69,10 @@ ifeq ($(UNAME_S),Darwin)
 	endif
 endif
 
+ifdef LLAMA_RPC
+	BUILD_TARGETS += rpc-server
+endif
+
 default: $(BUILD_TARGETS)
 
 test: $(TEST_TARGETS)
@@ -135,12 +141,16 @@ MK_NVCCFLAGS = -std=c++11
 ifdef LLAMA_FAST
 MK_CFLAGS     += -Ofast
 HOST_CXXFLAGS += -Ofast
+ifndef LLAMA_DEBUG
 MK_NVCCFLAGS  += -O3
+endif # LLAMA_DEBUG
 else
 MK_CFLAGS     += -O3
 MK_CXXFLAGS   += -O3
+ifndef LLAMA_DEBUG
 MK_NVCCFLAGS  += -O3
-endif
+endif # LLAMA_DEBUG
+endif # LLAMA_FAST
 
 ifndef LLAMA_NO_CCACHE
 CCACHE := $(shell which ccache)
@@ -201,9 +211,10 @@ ifdef LLAMA_SCHED_MAX_COPIES
 endif
 
 ifdef LLAMA_DEBUG
-	MK_CFLAGS   += -O0 -g
-	MK_CXXFLAGS += -O0 -g
-	MK_LDFLAGS  += -g
+	MK_CFLAGS    += -O0 -g
+	MK_CXXFLAGS  += -O0 -g
+	MK_LDFLAGS   += -g
+	MK_NVCCFLAGS += -O0 -g
 
 	ifeq ($(UNAME_S),Linux)
 		MK_CPPFLAGS += -D_GLIBCXX_ASSERTIONS
@@ -379,15 +390,16 @@ ifneq ($(filter ppc64le%,$(UNAME_M)),)
 	CUDA_POWER_ARCH = 1
 endif
 
+ifneq ($(filter loongarch64%,$(UNAME_M)),)
+	MK_CFLAGS   += -mlasx
+	MK_CXXFLAGS += -mlasx
+endif
+
 else
 	MK_CFLAGS   += -march=rv64gcv -mabi=lp64d
 	MK_CXXFLAGS += -march=rv64gcv -mabi=lp64d
 endif
 
-ifdef LLAMA_QKK_64
-	MK_CPPFLAGS += -DGGML_QKK_64
-endif
-
 ifndef LLAMA_NO_ACCELERATE
 	# Mac OS - include Accelerate framework.
 	# `-framework Accelerate` works both with Apple Silicon and Mac Intel
@@ -399,12 +411,11 @@ ifndef LLAMA_NO_ACCELERATE
 	endif
 endif # LLAMA_NO_ACCELERATE
 
-ifdef LLAMA_MPI
-	MK_CPPFLAGS += -DGGML_USE_MPI
-	MK_CFLAGS   += -Wno-cast-qual
-	MK_CXXFLAGS += -Wno-cast-qual
-	OBJS        += ggml-mpi.o
-endif # LLAMA_MPI
+ifndef LLAMA_NO_OPENMP
+	MK_CPPFLAGS += -DGGML_USE_OPENMP
+	MK_CFLAGS   += -fopenmp
+	MK_CXXFLAGS += -fopenmp
+endif # LLAMA_NO_OPENMP
 
 ifdef LLAMA_OPENBLAS
 	MK_CPPFLAGS += -DGGML_USE_OPENBLAS $(shell pkg-config --cflags-only-I openblas)
@@ -422,11 +433,25 @@ ifdef LLAMA_BLIS
 	MK_LDFLAGS  += -lblis -L/usr/local/lib
 endif # LLAMA_BLIS
 
+ifdef LLAMA_RPC
+	MK_CPPFLAGS   += -DGGML_USE_RPC
+	OBJS          += ggml-rpc.o
+endif # LLAMA_RPC
+
 ifdef LLAMA_CUBLAS
 # LLAMA_CUBLAS is deprecated and will be removed in the future
 	LLAMA_CUDA := 1
 endif
 
+OBJS_CUDA_TEMP_INST      = $(patsubst %.cu,%.o,$(wildcard ggml-cuda/template-instances/fattn-wmma*.cu))
+ifdef LLAMA_CUDA_FA_ALL_QUANTS
+	OBJS_CUDA_TEMP_INST += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/template-instances/fattn-vec*.cu))
+else
+	OBJS_CUDA_TEMP_INST += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/template-instances/fattn-vec*q4_0-q4_0.cu))
+	OBJS_CUDA_TEMP_INST += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/template-instances/fattn-vec*q8_0-q8_0.cu))
+	OBJS_CUDA_TEMP_INST += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/template-instances/fattn-vec*f16-f16.cu))
+endif # LLAMA_CUDA_FA_ALL_QUANTS
+
 ifdef LLAMA_CUDA
 	ifneq ('', '$(wildcard /opt/cuda)')
 		CUDA_PATH ?= /opt/cuda
@@ -437,6 +462,7 @@ ifdef LLAMA_CUDA
 	MK_LDFLAGS   += -lcuda -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L$(CUDA_PATH)/lib64 -L/usr/lib64 -L$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib -L/usr/lib/wsl/lib
 	OBJS         += ggml-cuda.o
 	OBJS         += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/*.cu))
+	OBJS         += $(OBJS_CUDA_TEMP_INST)
 	MK_NVCCFLAGS += -use_fast_math
 ifdef LLAMA_FATAL_WARNINGS
 	MK_NVCCFLAGS += -Werror all-warnings
@@ -447,6 +473,9 @@ endif # JETSON_EOL_MODULE_DETECT
 ifdef LLAMA_DEBUG
 	MK_NVCCFLAGS += -lineinfo
 endif # LLAMA_DEBUG
+ifdef LLAMA_CUDA_DEBUG
+	MK_NVCCFLAGS += --device-debug
+endif # LLAMA_CUDA_DEBUG
 ifdef LLAMA_CUDA_NVCC
 	NVCC = $(CCACHE) $(LLAMA_CUDA_NVCC)
 else
@@ -496,7 +525,10 @@ ifdef LLAMA_CUDA_NO_PEER_COPY
 endif # LLAMA_CUDA_NO_PEER_COPY
 ifdef LLAMA_CUDA_CCBIN
 	MK_NVCCFLAGS += -ccbin $(LLAMA_CUDA_CCBIN)
-endif
+endif # LLAMA_CUDA_CCBIN
+ifdef LLAMA_CUDA_FA_ALL_QUANTS
+	MK_NVCCFLAGS += -DGGML_CUDA_FA_ALL_QUANTS
+endif # LLAMA_CUDA_FA_ALL_QUANTS
 
 ifdef JETSON_EOL_MODULE_DETECT
 define NVCC_COMPILE
@@ -508,30 +540,13 @@ define NVCC_COMPILE
 endef # NVCC_COMPILE
 endif # JETSON_EOL_MODULE_DETECT
 
-ggml-cuda/%.o: ggml-cuda/%.cu ggml-cuda/%.cuh ggml.h ggml-common.h ggml-cuda/common.cuh
+ggml-cuda/%.o: ggml-cuda/%.cu ggml.h ggml-common.h ggml-cuda/common.cuh
 	$(NVCC_COMPILE)
 
 ggml-cuda.o: ggml-cuda.cu ggml-cuda.h ggml.h ggml-backend.h ggml-backend-impl.h ggml-common.h $(wildcard ggml-cuda/*.cuh)
 	$(NVCC_COMPILE)
 endif # LLAMA_CUDA
 
-ifdef LLAMA_CLBLAST
-	MK_CPPFLAGS += -DGGML_USE_CLBLAST $(shell pkg-config --cflags-only-I clblast OpenCL)
-	MK_CFLAGS   += $(shell pkg-config --cflags-only-other clblast OpenCL)
-	MK_CXXFLAGS += $(shell pkg-config --cflags-only-other clblast OpenCL)
-
-	# Mac provides OpenCL as a framework
-	ifeq ($(UNAME_S),Darwin)
-		MK_LDFLAGS += -lclblast -framework OpenCL
-	else
-		MK_LDFLAGS += $(shell pkg-config --libs clblast OpenCL)
-	endif
-	OBJS    += ggml-opencl.o
-
-ggml-opencl.o: ggml-opencl.cpp ggml-opencl.h
-	$(CXX) $(CXXFLAGS) -c $< -o $@
-endif # LLAMA_CLBLAST
-
 ifdef LLAMA_VULKAN
 	MK_CPPFLAGS  += -DGGML_USE_VULKAN
 	MK_LDFLAGS += -lvulkan
@@ -560,10 +575,10 @@ endif # LLAMA_VULKAN
 ifdef LLAMA_HIPBLAS
 	ifeq ($(wildcard /opt/rocm),)
 		ROCM_PATH	?= /usr
-		GPU_TARGETS ?= $(shell $(shell which amdgpu-arch))
+		AMDGPU_TARGETS ?= $(shell $(shell which amdgpu-arch))
 	else
 		ROCM_PATH	?= /opt/rocm
-		GPU_TARGETS ?= $(shell $(ROCM_PATH)/llvm/bin/amdgpu-arch)
+		AMDGPU_TARGETS ?= $(shell $(ROCM_PATH)/llvm/bin/amdgpu-arch)
 	endif
 	HIPCC                   ?= $(CCACHE) $(ROCM_PATH)/bin/hipcc
 	LLAMA_CUDA_DMMV_X       ?= 32
@@ -574,8 +589,9 @@ ifdef LLAMA_HIP_UMA
 	MK_CPPFLAGS += -DGGML_HIP_UMA
 endif # LLAMA_HIP_UMA
 	MK_LDFLAGS  += -L$(ROCM_PATH)/lib -Wl,-rpath=$(ROCM_PATH)/lib
+	MK_LDFLAGS  += -L$(ROCM_PATH)/lib64 -Wl,-rpath=$(ROCM_PATH)/lib64
 	MK_LDFLAGS	+= -lhipblas -lamdhip64 -lrocblas
-	HIPFLAGS    += $(addprefix --offload-arch=,$(GPU_TARGETS))
+	HIPFLAGS    += $(addprefix --offload-arch=,$(AMDGPU_TARGETS))
 	HIPFLAGS    += -DGGML_CUDA_DMMV_X=$(LLAMA_CUDA_DMMV_X)
 	HIPFLAGS    += -DGGML_CUDA_MMV_Y=$(LLAMA_CUDA_MMV_Y)
 	HIPFLAGS    += -DK_QUANTS_PER_ITERATION=$(LLAMA_CUDA_KQUANTS_ITER)
@@ -587,11 +603,12 @@ ifdef LLAMA_CUDA_NO_PEER_COPY
 endif # LLAMA_CUDA_NO_PEER_COPY
 	OBJS        += ggml-cuda.o
 	OBJS        += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/*.cu))
+	OBJS        += $(OBJS_CUDA_TEMP_INST)
 
 ggml-cuda.o: ggml-cuda.cu ggml-cuda.h ggml.h ggml-backend.h ggml-backend-impl.h ggml-common.h $(wildcard ggml-cuda/*.cuh)
 	$(HIPCC) $(CXXFLAGS) $(HIPFLAGS) -x hip -c -o $@ $<
 
-ggml-cuda/%.o: ggml-cuda/%.cu ggml-cuda/%.cuh ggml.h ggml-common.h ggml-cuda/common.cuh
+ggml-cuda/%.o: ggml-cuda/%.cu ggml.h ggml-common.h ggml-cuda/common.cuh
 	$(HIPCC) $(CXXFLAGS) $(HIPFLAGS) -x hip -c -o $@ $<
 
 endif # LLAMA_HIPBLAS
@@ -629,16 +646,26 @@ ggml-metal-embed.o: ggml-metal.metal ggml-common.h
 endif
 endif # LLAMA_METAL
 
-ifdef LLAMA_MPI
-ggml-mpi.o: ggml-mpi.c ggml-mpi.h
-	$(CC) $(CFLAGS) -c $< -o $@
-endif # LLAMA_MPI
+OBJS += ggml-alloc.o ggml-backend.o ggml-quants.o unicode.o unicode-data.o
+COMMON_H_DEPS = common/common.h common/sampling.h common/log.h llama.h
+COMMON_DEPS   = common.o sampling.o grammar-parser.o build-info.o json-schema-to-grammar.o
 
 ifndef LLAMA_NO_LLAMAFILE
 sgemm.o: sgemm.cpp sgemm.h ggml.h
 	$(CXX) $(CXXFLAGS) -c $< -o $@
 endif
 
+ifdef LLAMA_RPC
+ggml-rpc.o: ggml-rpc.cpp ggml-rpc.h
+	$(CXX) $(CXXFLAGS) -c $< -o $@
+
+rpc-server.o: examples/rpc/rpc-server.cpp ggml-rpc.h
+	$(CXX) $(CXXFLAGS) -c $< -o $@
+
+rpc-server: rpc-server.o ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+	$(CXX) $(CXXFLAGS) $^ -o $@ $(LDFLAGS)
+endif # LLAMA_RPC
+
 GF_CC := $(CC)
 include scripts/get-flags.mk
 
@@ -718,14 +745,9 @@ unicode.o: unicode.cpp unicode.h
 unicode-data.o: unicode-data.cpp unicode-data.h
 	$(CXX) $(CXXFLAGS) -c $< -o $@
 
-OBJS += ggml-alloc.o ggml-backend.o ggml-quants.o unicode.o unicode-data.o
-
 llama.o: llama.cpp unicode.h ggml.h ggml-alloc.h ggml-backend.h ggml-cuda.h ggml-metal.h llama.h
 	$(CXX) $(CXXFLAGS) -c $< -o $@
 
-COMMON_H_DEPS = common/common.h common/sampling.h common/log.h llama.h
-COMMON_DEPS   = common.o sampling.o grammar-parser.o build-info.o json-schema-to-grammar.o
-
 common.o: common/common.cpp $(COMMON_H_DEPS)
 	$(CXX) $(CXXFLAGS) -c $< -o $@
 
@@ -756,6 +778,7 @@ libllama.a: llama.o ggml.o $(OBJS) $(COMMON_DEPS)
 clean:
 	rm -vrf *.o tests/*.o *.so *.a *.dll benchmark-matmult lookup-create lookup-merge lookup-stats common/build-info.cpp *.dot $(COV_TARGETS) $(BUILD_TARGETS) $(TEST_TARGETS)
 	rm -vrf ggml-cuda/*.o
+	rm -vrf ggml-cuda/template-instances/*.o
 	find examples pocs -type f -name "*.o" -delete
 
 #
@@ -824,7 +847,7 @@ save-load-state: examples/save-load-state/save-load-state.cpp ggml.o llama.o $(C
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-server: examples/server/server.cpp examples/server/utils.hpp examples/server/httplib.h common/json.hpp examples/server/index.html.hpp examples/server/index.js.hpp examples/server/completion.js.hpp examples/server/json-schema-to-grammar.mjs.hpp common/stb_image.h ggml.o llama.o $(COMMON_DEPS) grammar-parser.o $(OBJS)
+server: examples/server/server.cpp examples/server/utils.hpp examples/server/httplib.h common/json.hpp examples/server/colorthemes.css.hpp examples/server/style.css.hpp examples/server/theme-beeninorder.css.hpp examples/server/theme-ketivah.css.hpp examples/server/theme-mangotango.css.hpp examples/server/theme-playground.css.hpp examples/server/theme-polarnight.css.hpp examples/server/theme-snowstorm.css.hpp examples/server/index.html.hpp examples/server/index-new.html.hpp examples/server/index.js.hpp examples/server/completion.js.hpp examples/server/system-prompts.js.hpp examples/server/prompt-formats.js.hpp examples/server/json-schema-to-grammar.mjs.hpp common/stb_image.h ggml.o llama.o $(COMMON_DEPS) grammar-parser.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h %.hpp $<,$^) -Iexamples/server $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS) $(LWINSOCK2)
 
@@ -874,10 +897,6 @@ baby-llama: examples/baby-llama/baby-llama.cpp ggml.o llama.o $(COMMON_DEPS) tra
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-beam-search: examples/beam-search/beam-search.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
-	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
-	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
-
 finetune: examples/finetune/finetune.cpp ggml.o llama.o $(COMMON_DEPS) train.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
diff --git a/README-sycl.md b/README-sycl.md
index cfa248a95..62b38135c 100644
--- a/README-sycl.md
+++ b/README-sycl.md
@@ -29,7 +29,7 @@ The llama.cpp SYCL backend is designed to support **Intel GPU** firstly. Based o
 
 When targeting **Intel CPU**, it is recommended to use llama.cpp for [Intel oneMKL](README.md#intel-onemkl) backend.
 
-It has the similar design of other llama.cpp BLAS-based paths such as *OpenBLAS, cuBLAS, CLBlast etc..*. In beginning work, the oneAPI's [SYCLomatic](https://github.com/oneapi-src/SYCLomatic) open-source migration tool (Commercial release [Intel® DPC++ Compatibility Tool](https://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compatibility-tool.html)) was used for this purpose.
+It has the similar design of other llama.cpp BLAS-based paths such as *OpenBLAS, cuBLAS, etc..*. In beginning work, the oneAPI's [SYCLomatic](https://github.com/oneapi-src/SYCLomatic) open-source migration tool (Commercial release [Intel® DPC++ Compatibility Tool](https://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compatibility-tool.html)) was used for this purpose.
 
 ## News
 
@@ -54,10 +54,10 @@ It has the similar design of other llama.cpp BLAS-based paths such as *OpenBLAS,
 
 ## OS
 
-| OS      | Status  | Verified                           |
-|---------|---------|------------------------------------|
-| Linux   | Support | Ubuntu 22.04, Fedora Silverblue 39 |
-| Windows | Support | Windows 11                         |
+| OS      | Status  | Verified                                       |
+|---------|---------|------------------------------------------------|
+| Linux   | Support | Ubuntu 22.04, Fedora Silverblue 39, Arch Linux |
+| Windows | Support | Windows 11                                     |
 
 
 ## Hardware
@@ -70,7 +70,7 @@ It has the similar design of other llama.cpp BLAS-based paths such as *OpenBLAS,
 |-------------------------------|---------|---------------------------------------|
 | Intel Data Center Max Series  | Support | Max 1550, 1100                        |
 | Intel Data Center Flex Series | Support | Flex 170                              |
-| Intel Arc Series              | Support | Arc 770, 730M                         |
+| Intel Arc Series              | Support | Arc 770, 730M, Arc A750               |
 | Intel built-in Arc GPU        | Support | built-in Arc GPU in Meteor Lake       |
 | Intel iGPU                    | Support | iGPU in i5-1250P, i7-1260P, i7-1165G7 |
 
diff --git a/README.md b/README.md
index 9f2f8df64..9d2a59d89 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,9 @@
 
 ![llama](https://user-images.githubusercontent.com/1991296/230134379-7181e485-c521-4d23-a0d6-f7b3b61ba524.png)
 
-[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT) [![Server](https://github.com/ggerganov/llama.cpp/actions/workflows/server.yml/badge.svg?branch=master&event=schedule)](https://github.com/ggerganov/llama.cpp/actions/workflows/server.yml)
+[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
+[![Server](https://github.com/ggerganov/llama.cpp/actions/workflows/server.yml/badge.svg?branch=master&event=schedule)](https://github.com/ggerganov/llama.cpp/actions/workflows/server.yml)
+[![Conan Center](https://shields.io/conan/v/llama-cpp)](https://conan.io/center/llama-cpp)
 
 [Roadmap](https://github.com/users/ggerganov/projects/7) / [Project status](https://github.com/ggerganov/llama.cpp/discussions/3471) / [Manifesto](https://github.com/ggerganov/llama.cpp/discussions/205) / [ggml](https://github.com/ggerganov/ggml)
 
@@ -20,7 +22,8 @@ Inference of Meta's [LLaMA](https://arxiv.org/abs/2302.13971) model (and others)
 
 ### Hot topics
 
-- **Initial Flash-Attention support: https://github.com/ggerganov/llama.cpp/pull/5021**
+- **`convert.py` has been deprecated and moved to `examples/convert-legacy-llama.py`, please use `convert-hf-to-gguf.py`** https://github.com/ggerganov/llama.cpp/pull/7430
+- Initial Flash-Attention support: https://github.com/ggerganov/llama.cpp/pull/5021
 - BPE pre-tokenization support has been added: https://github.com/ggerganov/llama.cpp/pull/6920
 - MoE memory layout has been updated - reconvert models for `mmap` support and regenerate `imatrix` https://github.com/ggerganov/llama.cpp/pull/6387
 - Model sharding instructions using `gguf-split` https://github.com/ggerganov/llama.cpp/discussions/6404
@@ -74,7 +77,7 @@ variety of hardware - locally and in the cloud.
 - AVX, AVX2 and AVX512 support for x86 architectures
 - 1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory use
 - Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for AMD GPUs via HIP)
-- Vulkan, SYCL, and (partial) OpenCL backend support
+- Vulkan and SYCL backend support
 - CPU+GPU hybrid inference to partially accelerate models larger than the total VRAM capacity
 
 Since its [inception](https://github.com/ggerganov/llama.cpp/issues/33#issuecomment-1465108022), the project has
@@ -107,7 +110,6 @@ Typically finetunes of the base models below are supported as well.
 - [X] [Aquila 1 & 2](https://huggingface.co/models?search=BAAI/Aquila)
 - [X] [Starcoder models](https://github.com/ggerganov/llama.cpp/pull/3187)
 - [X] [Refact](https://huggingface.co/smallcloudai/Refact-1_6B-fim)
-- [X] [Persimmon 8B](https://github.com/ggerganov/llama.cpp/pull/3410)
 - [X] [MPT](https://github.com/ggerganov/llama.cpp/pull/3417)
 - [X] [Bloom](https://github.com/ggerganov/llama.cpp/pull/3553)
 - [x] [Yi models](https://huggingface.co/models?search=01-ai/Yi)
@@ -128,6 +130,7 @@ Typically finetunes of the base models below are supported as well.
 - [x] [SEA-LION](https://huggingface.co/models?search=sea-lion)
 - [x] [GritLM-7B](https://huggingface.co/GritLM/GritLM-7B) + [GritLM-8x7B](https://huggingface.co/GritLM/GritLM-8x7B)
 - [x] [OLMo](https://allenai.org/olmo)
+- [x] [GPT-NeoX](https://github.com/EleutherAI/gpt-neox) + [Pythia](https://github.com/EleutherAI/pythia)
 
 (instructions for supporting more models: [HOWTO-add-model.md](./docs/HOWTO-add-model.md))
 
@@ -141,11 +144,14 @@ Typically finetunes of the base models below are supported as well.
 - [x] [Yi-VL](https://huggingface.co/models?search=Yi-VL)
 - [x] [Mini CPM](https://huggingface.co/models?search=MiniCPM)
 - [x] [Moondream](https://huggingface.co/vikhyatk/moondream2)
+- [x] [Bunny](https://github.com/BAAI-DCAI/Bunny)
 
 **HTTP server**
 
 [llama.cpp web server](./examples/server) is a lightweight [OpenAI API](https://github.com/openai/openai-openapi) compatible HTTP server that can be used to serve local models and easily connect them to existing clients.
 
+[simplechat](./examples/server/public_simplechat) is a simple chat client, which can be used to chat with the model exposed using above web server (use --path to point to simplechat), from a local web browser.
+
 **Bindings:**
 
 - Python: [abetlen/llama-cpp-python](https://github.com/abetlen/llama-cpp-python)
@@ -199,9 +205,14 @@ Unless otherwise noted these projects are open-source with permissive licensing:
 - [KodiBot](https://github.com/firatkiral/kodibot) (GPL)
 - [eva](https://github.com/ylsdamxssjxxdd/eva) (MIT)
 - [AI Sublime Text plugin](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) (MIT)
+- [AIKit](https://github.com/sozercan/aikit) (MIT)
 
 *(to have a project listed here, it should clearly state that it depends on `llama.cpp`)*
 
+**Tools:**
+
+- [akx/ggify](https://github.com/akx/ggify) – download PyTorch models from HuggingFace Hub and convert them to GGML
+
 ---
 
 Here is a typical run using LLaMA v2 13B on M2 Ultra:
@@ -301,7 +312,7 @@ cd llama.cpp
 
 ### Build
 
-In order to build llama.cpp you have three different options.
+In order to build llama.cpp you have four different options.
 
 - Using `make`:
   - On Linux or MacOS:
@@ -310,8 +321,6 @@ In order to build llama.cpp you have three different options.
       make
       ```
 
-      **Note**: for `Debug` builds, run `make LLAMA_DEBUG=1`
-
   - On Windows:
 
     1. Download the latest fortran version of [w64devkit](https://github.com/skeeto/w64devkit/releases).
@@ -323,40 +332,38 @@ In order to build llama.cpp you have three different options.
         make
         ```
 
+  - Notes:
+    - For faster compilation, add the `-j` argument to run multiple jobs in parallel. For example, `make -j 8` will run 8 jobs in parallel.
+    - For faster repeated compilation, install [ccache](https://ccache.dev/).
+    - For debug builds, run `make LLAMA_DEBUG=1`
+
 - Using `CMake`:
 
-    ```bash
-    cmake -B build
-    cmake --build build --config Release
-    ```
+  ```bash
+  cmake -B build
+  cmake --build build --config Release
+  ```
 
-    **Note**: for `Debug` builds, there are two cases:
+  **Notes**:
 
-    - Single-config generators (e.g. default = `Unix Makefiles`; note that they just ignore the `--config` flag):
+    - For faster compilation, add the `-j` argument to run multiple jobs in parallel. For example, `cmake --build build --config Release -j 8` will run 8 jobs in parallel.
+    - For faster repeated compilation, install [ccache](https://ccache.dev/).
+    - For debug builds, there are two cases:
+
+      1. Single-config generators (e.g. default = `Unix Makefiles`; note that they just ignore the `--config` flag):
 
       ```bash
       cmake -B build -DCMAKE_BUILD_TYPE=Debug
       cmake --build build
       ```
 
-    - Multi-config generators (`-G` param set to Visual Studio, XCode...):
+      2. Multi-config generators (`-G` param set to Visual Studio, XCode...):
 
       ```bash
       cmake -B build -G "Xcode"
       cmake --build build --config Debug
       ```
 
-- Using `Zig` (version 0.11 or later):
-
-    Building for optimization levels and CPU features can be accomplished using standard build arguments, for example AVX2, FMA, F16C,
-    it's also possible to cross compile for other operating systems and architectures:
-
-    ```bash
-    zig build -Doptimize=ReleaseFast -Dtarget=x86_64-windows-gnu -Dcpu=x86_64+avx2+fma+f16c
-    ```
-
-    The `zig targets` command will give you valid options to use.
-
 -   Using `gmake` (FreeBSD):
 
     1. Install and activate [DRM in FreeBSD](https://wiki.freebsd.org/Graphics)
@@ -364,15 +371,18 @@ In order to build llama.cpp you have three different options.
     3. Install compilation dependencies.
 
         ```bash
-        sudo pkg install gmake automake autoconf pkgconf llvm15 clinfo clover \
-            opencl clblast openblas
+        sudo pkg install gmake automake autoconf pkgconf llvm15 openblas
 
         gmake CC=/usr/local/bin/clang15 CXX=/usr/local/bin/clang++15 -j4
         ```
 
-    **Notes:** With this packages you can build llama.cpp with OPENBLAS and
-    CLBLAST support for use OpenCL GPU acceleration in FreeBSD. Please read
-    the instructions for use and activate this options in this document below.
+### Homebrew
+
+On Mac and Linux, the homebrew package manager can be used via
+```
+brew install llama.cpp
+```
+The formula is automatically updated with new `llama.cpp` releases. More info: https://github.com/ggerganov/llama.cpp/discussions/7668
 
 ### Metal Build
 
@@ -382,48 +392,9 @@ To disable the Metal build at compile time use the `LLAMA_NO_METAL=1` flag or th
 When built with Metal support, you can explicitly disable GPU inference with the `--n-gpu-layers|-ngl 0` command-line
 argument.
 
-### MPI Build
-
-MPI lets you distribute the computation over a cluster of machines. Because of the serial nature of LLM prediction, this won't yield any end-to-end speed-ups, but it will let you run larger models than would otherwise fit into RAM on a single machine.
-
-First you will need MPI libraries installed on your system. The two most popular (only?) options are [MPICH](https://www.mpich.org) and [OpenMPI](https://www.open-mpi.org). Either can be installed with a package manager (`apt`, Homebrew, MacPorts, etc).
-
-Next you will need to build the project with `LLAMA_MPI` set to true on all machines; if you're building with `make`, you will also need to specify an MPI-capable compiler (when building with CMake, this is configured automatically):
-
-- Using `make`:
-
-  ```bash
-  make CC=mpicc CXX=mpicxx LLAMA_MPI=1
-  ```
-
-- Using `CMake`:
-
-  ```bash
-  cmake -S . -B build -DLLAMA_MPI=ON
-  ```
-
-Once the programs are built, download/convert the weights on all of the machines in your cluster. The paths to the weights and programs should be identical on all machines.
-
-Next, ensure password-less SSH access to each machine from the primary host, and create a `hostfile` with a list of the hostnames and their relative "weights" (slots). If you want to use localhost for computation, use its local subnet IP address rather than the loopback address or "localhost".
-
-Here is an example hostfile:
-
-```
-192.168.0.1:2
-malvolio.local:1
-```
-
-The above will distribute the computation across 2 processes on the first host and 1 process on the second host. Each process will use roughly an equal amount of RAM. Try to keep these numbers small, as inter-process (intra-host) communication is expensive.
-
-Finally, you're ready to run a computation using `mpirun`:
-
-```bash
-mpirun -hostfile hostfile -n 3 ./main -m ./models/7B/ggml-model-q4_0.gguf -n 128
-```
-
 ### BLAS Build
 
-Building the program with BLAS support may lead to some performance improvements in prompt processing using batch sizes higher than 32 (the default is 512). Support with CPU-only BLAS implementations doesn't affect the normal generation performance. We may see generation performance improvements with GPU-involved BLAS implementations, e.g. cuBLAS, hipBLAS and CLBlast. There are currently several different BLAS implementations available for build and use:
+Building the program with BLAS support may lead to some performance improvements in prompt processing using batch sizes higher than 32 (the default is 512). Support with CPU-only BLAS implementations doesn't affect the normal generation performance. We may see generation performance improvements with GPU-involved BLAS implementations, e.g. cuBLAS, hipBLAS. There are currently several different BLAS implementations available for build and use:
 
 - #### Accelerate Framework:
 
@@ -511,10 +482,12 @@ Building the program with BLAS support may lead to some performance improvements
   |--------------------------------|------------------------|---------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
   | LLAMA_CUDA_FORCE_DMMV          | Boolean                | false   | Force the use of dequantization + matrix vector multiplication kernels instead of using kernels that do matrix vector multiplication on quantized data. By default the decision is made based on compute capability (MMVQ for 6.1/Pascal/GTX 1000 or higher). Does not affect k-quants. |
   | LLAMA_CUDA_DMMV_X              | Positive integer >= 32 | 32      | Number of values in x direction processed by the CUDA dequantization + matrix vector multiplication kernel per iteration. Increasing this value can improve performance on fast GPUs. Power of 2 heavily recommended. Does not affect k-quants.                                         |
-  | LLAMA_CUDA_MMV_Y               | Positive integer       | 1       | Block size in y direction for the CUDA mul mat vec kernels. Increasing this value can improve performance on fast GPUs. Power of 2 recommended.                                                                                                                                         |
+  | LLAMA_CUDA_MMV_Y               | Positive integer       | 1       | Block size in y direction for the CUDA mul mat vec kernels. Increasing this value can improve performance on fast GPUs. Power of 2 recommended.                                               |
+  | LLAMA_CUDA_FORCE_MMQ           | Boolean                | false   | Force the use of dequantization + matrix multiplication kernels instead of leveraging Math libraries. |                                                                                                                                         |
   | LLAMA_CUDA_F16                 | Boolean                | false   | If enabled, use half-precision floating point arithmetic for the CUDA dequantization + mul mat vec kernels and for the q4_1 and q5_1 matrix matrix multiplication kernels. Can improve performance on relatively recent GPUs.                                                           |
   | LLAMA_CUDA_KQUANTS_ITER        | 1 or 2                 | 2       | Number of values processed per iteration and per CUDA thread for Q2_K and Q6_K quantization formats. Setting this value to 1 can improve performance for slow GPUs.                                                                                                                     |
   | LLAMA_CUDA_PEER_MAX_BATCH_SIZE | Positive integer       | 128     | Maximum batch size for which to enable peer access between multiple GPUs. Peer access requires either Linux or NVLink. When using NVLink enabling peer access for larger batch sizes is potentially beneficial.                                                                         |
+  | LLAMA_CUDA_FA_ALL_QUANTS       | Boolean                | false   | Compile support for all KV cache quantization type (combinations) for the FlashAttention CUDA kernels. More fine-grained control over KV cache size but compilation takes much longer.                                                                                                  |
 
 - #### hipBLAS
 
@@ -528,13 +501,28 @@ Building the program with BLAS support may lead to some performance improvements
     ```
   - Using `CMake` for Linux (assuming a gfx1030-compatible AMD GPU):
     ```bash
-    CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++ \
-        cmake -B build -DLLAMA_HIPBLAS=ON -DAMDGPU_TARGETS=gfx1030 -DCMAKE_BUILD_TYPE=Release \
+    HIPCXX="$(hipconfig -l)/clang" HIP_PATH="$(hipconfig -R)" \
+        cmake -S . -B build -DLLAMA_HIPBLAS=ON -DAMDGPU_TARGETS=gfx1030 -DCMAKE_BUILD_TYPE=Release \
         && cmake --build build --config Release -- -j 16
     ```
-    On Linux it is also possible to use unified memory architecture (UMA) to share main memory between the CPU and integrated GPU by setting `-DLLAMA_HIP_UMA=ON"`.
+    On Linux it is also possible to use unified memory architecture (UMA) to share main memory between the CPU and integrated GPU by setting `-DLLAMA_HIP_UMA=ON`.
     However, this hurts performance for non-integrated GPUs (but enables working with integrated GPUs).
 
+    Note that if you get the following error:
+    ```
+    clang: error: cannot find ROCm device library; provide its path via '--rocm-path' or '--rocm-device-lib-path', or pass '-nogpulib' to build without ROCm device library
+    ```
+    Try searching for a directory under `HIP_PATH` that contains the file
+    `oclc_abi_version_400.bc`. Then, add the following to the start of the
+    command: `HIP_DEVICE_LIB_PATH=<directory-you-just-found>`, so something
+    like:
+    ```bash
+    HIPCXX="$(hipconfig -l)/clang" HIP_PATH="$(hipconfig -p)" \
+    HIP_DEVICE_LIB_PATH=<directory-you-just-found> \
+        cmake -S . -B build -DLLAMA_HIPBLAS=ON -DAMDGPU_TARGETS=gfx1030 -DCMAKE_BUILD_TYPE=Release \
+        && cmake --build build -- -j 16
+    ```
+
   - Using `make` (example for target gfx1030, build with 16 CPU threads):
     ```bash
     make -j16 LLAMA_HIPBLAS=1 LLAMA_HIP_UMA=1 AMDGPU_TARGETS=gfx1030
@@ -543,10 +531,8 @@ Building the program with BLAS support may lead to some performance improvements
   - Using `CMake` for Windows (using x64 Native Tools Command Prompt for VS, and assuming a gfx1100-compatible AMD GPU):
     ```bash
     set PATH=%HIP_PATH%\bin;%PATH%
-    mkdir build
-    cd build
-    cmake -G Ninja -DAMDGPU_TARGETS=gfx1100 -DLLAMA_HIPBLAS=ON -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_BUILD_TYPE=Release ..
-    cmake --build .
+    cmake -S . -B build -G Ninja -DAMDGPU_TARGETS=gfx1100 -DLLAMA_HIPBLAS=ON -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_BUILD_TYPE=Release
+    cmake --build build
     ```
     Make sure that `AMDGPU_TARGETS` is set to the GPU arch you want to compile for. The above example uses `gfx1100` that corresponds to Radeon RX 7900XTX/XT/GRE. You can find a list of targets [here](https://llvm.org/docs/AMDGPUUsage.html#processors)
     Find your gpu version string by matching the most significant version information from `rocminfo | grep gfx | head -1 | awk '{print $2}'` with the list of processors, e.g. `gfx1035` maps to `gfx1030`.
@@ -562,111 +548,6 @@ Building the program with BLAS support may lead to some performance improvements
   | LLAMA_CUDA_MMV_Y        | Positive integer       | 1       | Block size in y direction for the HIP mul mat vec kernels. Increasing this value can improve performance on fast GPUs. Power of 2 recommended. Does not affect k-quants.                                                                       |
   | LLAMA_CUDA_KQUANTS_ITER | 1 or 2                 | 2       | Number of values processed per iteration and per HIP thread for Q2_K and Q6_K quantization formats. Setting this value to 1 can improve performance for slow GPUs.                                                                             |
 
-- #### CLBlast
-
-  OpenCL acceleration is provided by the matrix multiplication kernels from the [CLBlast](https://github.com/CNugteren/CLBlast) project and custom kernels for ggml that can generate tokens on the GPU.
-
-  You will need the [OpenCL SDK](https://github.com/KhronosGroup/OpenCL-SDK).
-    - For Ubuntu, Debian, and Fedora the packages `opencl-headers`, `ocl-icd` may be needed.
-
-    - For Windows, a pre-built SDK is available on the [OpenCL Releases](https://github.com/KhronosGroup/OpenCL-SDK/releases) page.
-
-    - <details>
-        <summary>Installing the OpenCL SDK from source</summary>
-
-        ```sh
-        git clone --recurse-submodules https://github.com/KhronosGroup/OpenCL-SDK.git
-        cd OpenCL-SDK
-        cmake -B build -DBUILD_DOCS=OFF \
-          -DBUILD_EXAMPLES=OFF \
-          -DBUILD_TESTING=OFF \
-          -DOPENCL_SDK_BUILD_SAMPLES=OFF \
-          -DOPENCL_SDK_TEST_SAMPLES=OFF
-        cmake --build build
-        cmake --install build --prefix /some/path
-        ```
-      </details>
-
-  ##### Installing CLBlast
-
-  Pre-built CLBlast binaries may be found on the [CLBlast Releases](https://github.com/CNugteren/CLBlast/releases) page. For Unix variants, it may also be found in your operating system's packages.
-
-  Linux packaging:
-  Fedora Linux:
-  ```bash
-  sudo dnf install clblast
-  ```
-
-  Alternatively, they may be built from source.
-
-  - <details>
-    <summary>Windows:</summary>
-
-      ```cmd
-      set OPENCL_SDK_ROOT="C:/OpenCL-SDK-v2023.04.17-Win-x64"
-      git clone https://github.com/CNugteren/CLBlast.git
-      cd CLBlast
-      cmake -B build -DBUILD_SHARED_LIBS=OFF -DOVERRIDE_MSVC_FLAGS_TO_MT=OFF -DTUNERS=OFF -DOPENCL_ROOT=%OPENCL_SDK_ROOT% -G "Visual Studio 17 2022" -A x64
-      cmake --build build --config Release
-      cmake --install build --prefix C:/CLBlast
-      ```
-
-      (note: `--config Release` at build time is the default and only relevant for Visual Studio builds - or multi-config Ninja builds)
-
-  - <details>
-    <summary>Unix:</summary>
-
-      ```sh
-      git clone https://github.com/CNugteren/CLBlast.git
-      cd CLBlast
-      cmake -B build -DBUILD_SHARED_LIBS=OFF -DTUNERS=OFF
-      cmake --build build --config Release
-      cmake --install build --prefix /some/path
-      ```
-
-      Where `/some/path` is where the built library will be installed (default is `/usr/local`).
-    </details>
-
-  ##### Building Llama with CLBlast
-
-  - Build with make:
-    ```sh
-    make LLAMA_CLBLAST=1
-    ```
-  - CMake (Unix):
-    ```sh
-    cmake -B build -DLLAMA_CLBLAST=ON -DCLBlast_DIR=/some/path
-    cmake --build build --config Release
-    ```
-  - CMake (Windows):
-    ```cmd
-    set CL_BLAST_CMAKE_PKG="C:/CLBlast/lib/cmake/CLBlast"
-    git clone https://github.com/ggerganov/llama.cpp
-    cd llama.cpp
-    cmake -B build -DBUILD_SHARED_LIBS=OFF -DLLAMA_CLBLAST=ON -DCMAKE_PREFIX_PATH=%CL_BLAST_CMAKE_PKG% -G "Visual Studio 17 2022" -A x64
-    cmake --build build --config Release
-    cmake --install build --prefix C:/LlamaCPP
-    ```
-
-  ##### Running Llama with CLBlast
-
-  The CLBlast build supports `--gpu-layers|-ngl` like the CUDA version does.
-
-  To select the correct platform (driver) and device (GPU), you can use the environment variables `GGML_OPENCL_PLATFORM` and `GGML_OPENCL_DEVICE`.
-  The selection can be a number (starting from 0) or a text string to search:
-
-  ```sh
-  GGML_OPENCL_PLATFORM=1 ./main ...
-  GGML_OPENCL_DEVICE=2 ./main ...
-  GGML_OPENCL_PLATFORM=Intel ./main ...
-  GGML_OPENCL_PLATFORM=AMD GGML_OPENCL_DEVICE=1 ./main ...
-  ```
-
-  The default behavior is to find the first GPU device, but when it is an integrated GPU on a laptop, for instance, the selectors are useful.
-  Using the variables it is possible to select a CPU-based driver as well, if so desired.
-
-  You can get a list of platforms and devices from the `clinfo -l` command, etc.
-
 - #### Vulkan
 
   **With docker**:
@@ -712,9 +593,13 @@ Building the program with BLAS support may lead to some performance improvements
 
 ### Prepare and Quantize
 
+> [!NOTE]
+> You can use the [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space on Hugging Face to quantise your model weights without any setup too. It is synced from `llama.cpp` main every 6 hours.
+
 To obtain the official LLaMA 2 weights please see the <a href="#obtaining-and-using-the-facebook-llama-2-model">Obtaining and using the Facebook LLaMA 2 model</a> section. There is also a large selection of pre-quantized `gguf` models available on Hugging Face.
 
-Note: `convert.py` does not support LLaMA 3, you can use `convert-hf-to-gguf.py` with LLaMA 3 downloaded from Hugging Face.
+Note: `convert.py` has been moved to `examples/convert-legacy-llama.py` and shouldn't be used for anything other than `Llama/Llama2/Mistral` models and their derievatives.
+It does not support LLaMA 3, you can use `convert-hf-to-gguf.py` with LLaMA 3 downloaded from Hugging Face.
 
 ```bash
 # obtain the official LLaMA model weights and place them in ./models
@@ -731,10 +616,10 @@ ls ./models
 python3 -m pip install -r requirements.txt
 
 # convert the model to ggml FP16 format
-python3 convert.py models/mymodel/
+python3 convert-hf-to-gguf.py models/mymodel/
 
 # [Optional] for models using BPE tokenizers
-python convert.py models/mymodel/ --vocab-type bpe
+python convert-hf-to-gguf.py models/mymodel/ --vocab-type bpe
 
 # quantize the model to 4-bits (using Q4_K_M method)
 ./quantize ./models/mymodel/ggml-model-f16.gguf ./models/mymodel/ggml-model-Q4_K_M.gguf Q4_K_M
diff --git a/build.zig b/build.zig
deleted file mode 100644
index 96783574f..000000000
--- a/build.zig
+++ /dev/null
@@ -1,172 +0,0 @@
-// Compatible with Zig Version 0.11.0
-const std = @import("std");
-const ArrayList = std.ArrayList;
-const Compile = std.Build.Step.Compile;
-const ConfigHeader = std.Build.Step.ConfigHeader;
-const Mode = std.builtin.Mode;
-const CrossTarget = std.zig.CrossTarget;
-
-const Maker = struct {
-    builder: *std.build.Builder,
-    target: CrossTarget,
-    optimize: Mode,
-    enable_lto: bool,
-
-    include_dirs: ArrayList([]const u8),
-    cflags: ArrayList([]const u8),
-    cxxflags: ArrayList([]const u8),
-    objs: ArrayList(*Compile),
-
-    fn addInclude(m: *Maker, dir: []const u8) !void {
-        try m.include_dirs.append(dir);
-    }
-    fn addProjectInclude(m: *Maker, path: []const []const u8) !void {
-        try m.addInclude(try m.builder.build_root.join(m.builder.allocator, path));
-    }
-    fn addCFlag(m: *Maker, flag: []const u8) !void {
-        try m.cflags.append(flag);
-    }
-    fn addCxxFlag(m: *Maker, flag: []const u8) !void {
-        try m.cxxflags.append(flag);
-    }
-    fn addFlag(m: *Maker, flag: []const u8) !void {
-        try m.addCFlag(flag);
-        try m.addCxxFlag(flag);
-    }
-
-    fn init(builder: *std.build.Builder) !Maker {
-        const target = builder.standardTargetOptions(.{});
-        const zig_version = @import("builtin").zig_version_string;
-        const commit_hash = try std.ChildProcess.exec(
-            .{ .allocator = builder.allocator, .argv = &.{ "git", "rev-parse", "HEAD" } },
-        );
-        try std.fs.cwd().writeFile("common/build-info.cpp", builder.fmt(
-            \\int LLAMA_BUILD_NUMBER = {};
-            \\char const *LLAMA_COMMIT = "{s}";
-            \\char const *LLAMA_COMPILER = "Zig {s}";
-            \\char const *LLAMA_BUILD_TARGET = "{s}";
-            \\
-        , .{ 0, commit_hash.stdout[0 .. commit_hash.stdout.len - 1], zig_version, try target.allocDescription(builder.allocator) }));
-        var m = Maker{
-            .builder = builder,
-            .target = target,
-            .optimize = builder.standardOptimizeOption(.{}),
-            .enable_lto = false,
-            .include_dirs = ArrayList([]const u8).init(builder.allocator),
-            .cflags = ArrayList([]const u8).init(builder.allocator),
-            .cxxflags = ArrayList([]const u8).init(builder.allocator),
-            .objs = ArrayList(*Compile).init(builder.allocator),
-        };
-
-        try m.addCFlag("-std=c11");
-        try m.addCxxFlag("-std=c++11");
-        try m.addProjectInclude(&.{});
-        try m.addProjectInclude(&.{"common"});
-        return m;
-    }
-
-    fn obj(m: *const Maker, name: []const u8, src: []const u8) *Compile {
-        const o = m.builder.addObject(.{ .name = name, .target = m.target, .optimize = m.optimize });
-        if (o.target.getAbi() != .msvc)
-            o.defineCMacro("_GNU_SOURCE", null);
-
-        if (std.mem.endsWith(u8, src, ".c")) {
-            o.addCSourceFiles(&.{src}, m.cflags.items);
-            o.linkLibC();
-        } else {
-            o.addCSourceFiles(&.{src}, m.cxxflags.items);
-            if (o.target.getAbi() == .msvc) {
-                o.linkLibC(); // need winsdk + crt
-            } else {
-                // linkLibCpp already add (libc++ + libunwind + libc)
-                o.linkLibCpp();
-            }
-        }
-        for (m.include_dirs.items) |i| o.addIncludePath(.{ .path = i });
-        o.want_lto = m.enable_lto;
-        return o;
-    }
-
-    fn exe(m: *const Maker, name: []const u8, src: []const u8, deps: []const *Compile) *Compile {
-        const e = m.builder.addExecutable(.{ .name = name, .target = m.target, .optimize = m.optimize });
-        e.addCSourceFiles(&.{src}, m.cxxflags.items);
-        for (deps) |d| e.addObject(d);
-        for (m.objs.items) |o| e.addObject(o);
-        for (m.include_dirs.items) |i| e.addIncludePath(.{ .path = i });
-
-        // https://github.com/ziglang/zig/issues/15448
-        if (e.target.getAbi() == .msvc) {
-            e.linkLibC(); // need winsdk + crt
-        } else {
-            // linkLibCpp already add (libc++ + libunwind + libc)
-            e.linkLibCpp();
-        }
-        m.builder.installArtifact(e);
-        e.want_lto = m.enable_lto;
-        return e;
-    }
-};
-
-pub fn build(b: *std.build.Builder) !void {
-    var make = try Maker.init(b);
-    make.enable_lto = b.option(bool, "lto", "Enable LTO optimization, (default: false)") orelse false;
-
-    const ggml = make.obj("ggml", "ggml.c");
-    const sgemm = make.obj("sgemm", "sgemm.cpp");
-    const ggml_alloc = make.obj("ggml-alloc", "ggml-alloc.c");
-    const ggml_backend = make.obj("ggml-backend", "ggml-backend.c");
-    const ggml_quants = make.obj("ggml-quants", "ggml-quants.c");
-    const unicode = make.obj("unicode", "unicode.cpp");
-    const unicode_data = make.obj("unicode-data", "unicode-data.cpp");
-    const llama = make.obj("llama", "llama.cpp");
-    const buildinfo = make.obj("common", "common/build-info.cpp");
-    const common = make.obj("common", "common/common.cpp");
-    const console = make.obj("console", "common/console.cpp");
-    const sampling = make.obj("sampling", "common/sampling.cpp");
-    const grammar_parser = make.obj("grammar-parser", "common/grammar-parser.cpp");
-    const json_schema_to_grammar = make.obj("json-schema-to-grammar", "common/json-schema-to-grammar.cpp");
-    const train = make.obj("train", "common/train.cpp");
-    const clip = make.obj("clip", "examples/llava/clip.cpp");
-    const llava = make.obj("llava", "examples/llava/llava.cpp");
-
-    _ = make.exe("main", "examples/main/main.cpp", &.{ ggml, sgemm, ggml_alloc, ggml_backend, ggml_quants, llama, unicode, unicode_data, common, json_schema_to_grammar, buildinfo, sampling, console, grammar_parser });
-    _ = make.exe("quantize", "examples/quantize/quantize.cpp", &.{ ggml, sgemm, ggml_alloc, ggml_backend, ggml_quants, llama, unicode, unicode_data, common, json_schema_to_grammar, buildinfo });
-    _ = make.exe("perplexity", "examples/perplexity/perplexity.cpp", &.{ ggml, sgemm, ggml_alloc, ggml_backend, ggml_quants, llama, unicode, unicode_data, common, json_schema_to_grammar, buildinfo });
-    _ = make.exe("embedding", "examples/embedding/embedding.cpp", &.{ ggml, sgemm, ggml_alloc, ggml_backend, ggml_quants, llama, unicode, unicode_data, common, json_schema_to_grammar, buildinfo });
-    _ = make.exe("finetune", "examples/finetune/finetune.cpp", &.{ ggml, sgemm, ggml_alloc, ggml_backend, ggml_quants, llama, unicode, unicode_data, common, json_schema_to_grammar, buildinfo, train });
-    _ = make.exe("train-text-from-scratch", "examples/train-text-from-scratch/train-text-from-scratch.cpp", &.{ ggml, sgemm, ggml_alloc, ggml_backend, ggml_quants, llama, unicode, unicode_data, common, json_schema_to_grammar, buildinfo, train });
-
-    const server = make.exe("server", "examples/server/server.cpp", &.{ ggml, sgemm, ggml_alloc, ggml_backend, ggml_quants, llama, unicode, unicode_data, common, json_schema_to_grammar, buildinfo, sampling, grammar_parser, clip, llava });
-    if (server.target.isWindows()) {
-        server.linkSystemLibrary("ws2_32");
-    }
-
-    const server_assets = [_][]const u8{ "index.html", "index.js", "completion.js", "json-schema-to-grammar.mjs" };
-    for (server_assets) |asset| {
-        const input_path = b.fmt("examples/server/public/{s}", .{asset});
-        const output_path = b.fmt("examples/server/{s}.hpp", .{asset});
-
-        // Portable equivalent of `b.addSystemCommand(&.{ "xxd", "-n", asset, "-i", input_path, output_path }) })`:
-
-        const input = try std.fs.cwd().readFileAlloc(b.allocator, input_path, std.math.maxInt(usize));
-        defer b.allocator.free(input);
-
-        var buf = std.ArrayList(u8).init(b.allocator);
-        defer buf.deinit();
-
-        for (input) |byte| {
-            try std.fmt.format(buf.writer(), "0x{X:0>2}, ", .{byte});
-        }
-
-        var name = try std.mem.replaceOwned(u8, b.allocator, asset, "-", "_");
-        defer b.allocator.free(name);
-        std.mem.replaceScalar(u8, name, '.', '_');
-
-        try std.fs.cwd().writeFile(output_path, b.fmt(
-            "unsigned char {s}[] = {{{s}}};\nunsigned int {s}_len = {d};\n",
-            .{ name, buf.items, name, input.len },
-        ));
-
-        std.debug.print("Dumped hex of \"{s}\" ({s}) to {s}\n", .{ input_path, name, output_path });
-    }
-}
diff --git a/ci/run.sh b/ci/run.sh
index d5972480b..3fc5f48b2 100755
--- a/ci/run.sh
+++ b/ci/run.sh
@@ -202,12 +202,15 @@ function gg_sum_test_scripts_release {
 }
 
 function gg_get_model {
-    local gguf_3b="$MNT/models/open-llama/3B-v2/ggml-model-f16.gguf"
-    local gguf_7b="$MNT/models/open-llama/7B-v2/ggml-model-f16.gguf"
-    if [[ -s $gguf_3b ]]; then
-        echo -n "$gguf_3b"
-    elif [[ -s $gguf_7b ]]; then
-        echo -n "$gguf_7b"
+    local gguf_0="$MNT/models/pythia/1.4B/ggml-model-f16.gguf"
+    local gguf_1="$MNT/models/pythia/2.8B/ggml-model-f16.gguf"
+    local gguf_2="$MNT/models/open-llama/7B-v2/ggml-model-f16.gguf"
+    if [[ -s $gguf_0 ]]; then
+        echo -n "$gguf_0"
+    elif [[ -s $gguf_1 ]]; then
+        echo -n "$gguf_1"
+    elif [[ -s $gguf_2 ]]; then
+        echo -n "$gguf_2"
     else
         echo >&2 "No model found. Can't run gg_run_ctest_with_model."
         exit 1
@@ -256,139 +259,6 @@ function gg_sum_ctest_with_model_release {
     gg_printf '```\n'
 }
 
-# open_llama_3b_v2
-
-function gg_run_open_llama_3b_v2 {
-    cd ${SRC}
-
-    gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/raw/main/config.json
-    gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/resolve/main/tokenizer.model
-    gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/raw/main/tokenizer_config.json
-    gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/raw/main/special_tokens_map.json
-    gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/resolve/main/pytorch_model.bin
-    gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/raw/main/generation_config.json
-
-    gg_wget models-mnt/wikitext/ https://huggingface.co/datasets/ggml-org/ci/resolve/main/wikitext-2-raw-v1.zip
-    unzip -o models-mnt/wikitext/wikitext-2-raw-v1.zip -d models-mnt/wikitext/
-    head -n 60 models-mnt/wikitext/wikitext-2-raw/wiki.test.raw > models-mnt/wikitext/wikitext-2-raw/wiki.test-60.raw
-
-    path_models="../models-mnt/open-llama/3B-v2"
-    path_wiki="../models-mnt/wikitext/wikitext-2-raw"
-
-    rm -rf build-ci-release && mkdir build-ci-release && cd build-ci-release
-
-    set -e
-
-    (time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} -DLLAMA_QKK_64=1 .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
-    (time make -j                                                             ) 2>&1 | tee -a $OUT/${ci}-make.log
-
-    python3 ../convert.py ${path_models}
-
-    model_f16="${path_models}/ggml-model-f16.gguf"
-    model_q8_0="${path_models}/ggml-model-q8_0.gguf"
-    model_q4_0="${path_models}/ggml-model-q4_0.gguf"
-    model_q4_1="${path_models}/ggml-model-q4_1.gguf"
-    model_q5_0="${path_models}/ggml-model-q5_0.gguf"
-    model_q5_1="${path_models}/ggml-model-q5_1.gguf"
-    model_q2_k="${path_models}/ggml-model-q2_k.gguf"
-    model_q3_k="${path_models}/ggml-model-q3_k.gguf"
-    model_q4_k="${path_models}/ggml-model-q4_k.gguf"
-    model_q5_k="${path_models}/ggml-model-q5_k.gguf"
-    model_q6_k="${path_models}/ggml-model-q6_k.gguf"
-
-    wiki_test_60="${path_wiki}/wiki.test-60.raw"
-
-    ./bin/quantize ${model_f16} ${model_q8_0} q8_0
-    ./bin/quantize ${model_f16} ${model_q4_0} q4_0
-    ./bin/quantize ${model_f16} ${model_q4_1} q4_1
-    ./bin/quantize ${model_f16} ${model_q5_0} q5_0
-    ./bin/quantize ${model_f16} ${model_q5_1} q5_1
-    ./bin/quantize ${model_f16} ${model_q2_k} q2_k
-    ./bin/quantize ${model_f16} ${model_q3_k} q3_k
-    ./bin/quantize ${model_f16} ${model_q4_k} q4_k
-    ./bin/quantize ${model_f16} ${model_q5_k} q5_k
-    ./bin/quantize ${model_f16} ${model_q6_k} q6_k
-
-    (time ./bin/main --model ${model_f16}  -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
-    (time ./bin/main --model ${model_q8_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
-    (time ./bin/main --model ${model_q4_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
-    (time ./bin/main --model ${model_q4_1} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
-    (time ./bin/main --model ${model_q5_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
-    (time ./bin/main --model ${model_q5_1} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
-    (time ./bin/main --model ${model_q2_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
-    (time ./bin/main --model ${model_q3_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
-    (time ./bin/main --model ${model_q4_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
-    (time ./bin/main --model ${model_q5_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
-    (time ./bin/main --model ${model_q6_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
-
-    (time ./bin/perplexity --model ${model_f16}  -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
-    (time ./bin/perplexity --model ${model_q8_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
-    (time ./bin/perplexity --model ${model_q4_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
-    (time ./bin/perplexity --model ${model_q4_1} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
-    (time ./bin/perplexity --model ${model_q5_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
-    (time ./bin/perplexity --model ${model_q5_1} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
-    (time ./bin/perplexity --model ${model_q2_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
-    (time ./bin/perplexity --model ${model_q3_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
-    (time ./bin/perplexity --model ${model_q4_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
-    (time ./bin/perplexity --model ${model_q5_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
-    (time ./bin/perplexity --model ${model_q6_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
-
-    (time ./bin/imatrix --model ${model_f16} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-imatrix.log
-
-    (time ./bin/save-load-state     --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
-    (time ./bin/save-load-state -fa --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
-
-    function check_ppl {
-        qnt="$1"
-        ppl=$(echo "$2" | grep -oE "[0-9]+\.[0-9]+" | tail -n 1)
-
-        if [ $(echo "$ppl > 20.0" | bc) -eq 1 ]; then
-            printf '  - %s @ %s (FAIL: ppl > 20.0)\n' "$qnt" "$ppl"
-            return 20
-        fi
-
-        printf '  - %s @ %s OK\n' "$qnt" "$ppl"
-        return 0
-    }
-
-    check_ppl "f16"  "$(cat $OUT/${ci}-tg-f16.log  | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
-    check_ppl "q8_0" "$(cat $OUT/${ci}-tg-q8_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
-    check_ppl "q4_0" "$(cat $OUT/${ci}-tg-q4_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
-    check_ppl "q4_1" "$(cat $OUT/${ci}-tg-q4_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
-    check_ppl "q5_0" "$(cat $OUT/${ci}-tg-q5_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
-    check_ppl "q5_1" "$(cat $OUT/${ci}-tg-q5_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
-    check_ppl "q2_k" "$(cat $OUT/${ci}-tg-q2_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
-    check_ppl "q3_k" "$(cat $OUT/${ci}-tg-q3_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
-    check_ppl "q4_k" "$(cat $OUT/${ci}-tg-q4_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
-    check_ppl "q5_k" "$(cat $OUT/${ci}-tg-q5_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
-    check_ppl "q6_k" "$(cat $OUT/${ci}-tg-q6_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
-
-    cat $OUT/${ci}-imatrix.log | grep "Final" >> $OUT/${ci}-imatrix-sum.log
-
-    set +e
-}
-
-function gg_sum_open_llama_3b_v2 {
-    gg_printf '### %s\n\n' "${ci}"
-
-    gg_printf 'OpenLLaMA 3B-v2:\n'
-    gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
-    gg_printf '- perplexity:\n%s\n' "$(cat $OUT/${ci}-ppl.log)"
-    gg_printf '- imatrix:\n```\n%s\n```\n' "$(cat $OUT/${ci}-imatrix-sum.log)"
-    gg_printf '- f16: \n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-f16.log)"
-    gg_printf '- q8_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q8_0.log)"
-    gg_printf '- q4_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_0.log)"
-    gg_printf '- q4_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_1.log)"
-    gg_printf '- q5_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_0.log)"
-    gg_printf '- q5_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_1.log)"
-    gg_printf '- q2_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q2_k.log)"
-    gg_printf '- q3_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q3_k.log)"
-    gg_printf '- q4_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_k.log)"
-    gg_printf '- q5_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_k.log)"
-    gg_printf '- q6_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q6_k.log)"
-    gg_printf '- save-load-state: \n```\n%s\n```\n' "$(cat $OUT/${ci}-save-load-state.log)"
-}
-
 # open_llama_7b_v2
 # requires: GG_BUILD_CUDA
 
@@ -417,7 +287,7 @@ function gg_run_open_llama_7b_v2 {
     (time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} -DLLAMA_CUDA=1 .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
     (time make -j                                                           ) 2>&1 | tee -a $OUT/${ci}-make.log
 
-    python3 ../convert.py ${path_models}
+    python3 ../examples/convert-legacy-llama.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf
 
     model_f16="${path_models}/ggml-model-f16.gguf"
     model_q8_0="${path_models}/ggml-model-q8_0.gguf"
@@ -526,6 +396,272 @@ function gg_sum_open_llama_7b_v2 {
     gg_printf '- save-load-state: \n```\n%s\n```\n' "$(cat $OUT/${ci}-save-load-state.log)"
 }
 
+# pythia_1.4b
+
+function gg_run_pythia_1_4b {
+    cd ${SRC}
+
+    gg_wget models-mnt/pythia/1.4B/ https://huggingface.co/EleutherAI/pythia-1.4b/raw/main/config.json
+    gg_wget models-mnt/pythia/1.4B/ https://huggingface.co/EleutherAI/pythia-1.4b/raw/main/tokenizer.json
+    gg_wget models-mnt/pythia/1.4B/ https://huggingface.co/EleutherAI/pythia-1.4b/raw/main/tokenizer_config.json
+    gg_wget models-mnt/pythia/1.4B/ https://huggingface.co/EleutherAI/pythia-1.4b/raw/main/special_tokens_map.json
+    gg_wget models-mnt/pythia/1.4B/ https://huggingface.co/EleutherAI/pythia-1.4b/resolve/main/pytorch_model.bin
+
+    gg_wget models-mnt/wikitext/ https://huggingface.co/datasets/ggml-org/ci/resolve/main/wikitext-2-raw-v1.zip
+    unzip -o models-mnt/wikitext/wikitext-2-raw-v1.zip -d models-mnt/wikitext/
+    head -n 60 models-mnt/wikitext/wikitext-2-raw/wiki.test.raw > models-mnt/wikitext/wikitext-2-raw/wiki.test-60.raw
+
+    path_models="../models-mnt/pythia/1.4B"
+    path_wiki="../models-mnt/wikitext/wikitext-2-raw"
+
+    rm -rf build-ci-release && mkdir build-ci-release && cd build-ci-release
+
+    set -e
+
+    (time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
+    (time make -j                                            ) 2>&1 | tee -a $OUT/${ci}-make.log
+
+    python3 ../convert-hf-to-gguf.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf
+
+    model_f16="${path_models}/ggml-model-f16.gguf"
+    model_q8_0="${path_models}/ggml-model-q8_0.gguf"
+    model_q4_0="${path_models}/ggml-model-q4_0.gguf"
+    model_q4_1="${path_models}/ggml-model-q4_1.gguf"
+    model_q5_0="${path_models}/ggml-model-q5_0.gguf"
+    model_q5_1="${path_models}/ggml-model-q5_1.gguf"
+    model_q2_k="${path_models}/ggml-model-q2_k.gguf"
+    model_q3_k="${path_models}/ggml-model-q3_k.gguf"
+    model_q4_k="${path_models}/ggml-model-q4_k.gguf"
+    model_q5_k="${path_models}/ggml-model-q5_k.gguf"
+    model_q6_k="${path_models}/ggml-model-q6_k.gguf"
+
+    wiki_test_60="${path_wiki}/wiki.test-60.raw"
+
+    ./bin/quantize ${model_f16} ${model_q8_0} q8_0
+    ./bin/quantize ${model_f16} ${model_q4_0} q4_0
+    ./bin/quantize ${model_f16} ${model_q4_1} q4_1
+    ./bin/quantize ${model_f16} ${model_q5_0} q5_0
+    ./bin/quantize ${model_f16} ${model_q5_1} q5_1
+    ./bin/quantize ${model_f16} ${model_q2_k} q2_k
+    ./bin/quantize ${model_f16} ${model_q3_k} q3_k
+    ./bin/quantize ${model_f16} ${model_q4_k} q4_k
+    ./bin/quantize ${model_f16} ${model_q5_k} q5_k
+    ./bin/quantize ${model_f16} ${model_q6_k} q6_k
+
+    (time ./bin/main --model ${model_f16}  -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
+    (time ./bin/main --model ${model_q8_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
+    (time ./bin/main --model ${model_q4_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
+    (time ./bin/main --model ${model_q4_1} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
+    (time ./bin/main --model ${model_q5_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
+    (time ./bin/main --model ${model_q5_1} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
+    (time ./bin/main --model ${model_q2_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
+    (time ./bin/main --model ${model_q3_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
+    (time ./bin/main --model ${model_q4_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
+    (time ./bin/main --model ${model_q5_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
+    (time ./bin/main --model ${model_q6_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
+
+    (time ./bin/perplexity --model ${model_f16}  -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
+    (time ./bin/perplexity --model ${model_q8_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
+    (time ./bin/perplexity --model ${model_q4_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
+    (time ./bin/perplexity --model ${model_q4_1} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
+    (time ./bin/perplexity --model ${model_q5_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
+    (time ./bin/perplexity --model ${model_q5_1} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
+    (time ./bin/perplexity --model ${model_q2_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
+    (time ./bin/perplexity --model ${model_q3_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
+    (time ./bin/perplexity --model ${model_q4_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
+    (time ./bin/perplexity --model ${model_q5_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
+    (time ./bin/perplexity --model ${model_q6_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
+
+    (time ./bin/imatrix --model ${model_f16} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-imatrix.log
+
+    (time ./bin/save-load-state     --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/save-load-state -fa --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+
+    function check_ppl {
+        qnt="$1"
+        ppl=$(echo "$2" | grep -oE "[0-9]+\.[0-9]+" | tail -n 1)
+
+        if [ $(echo "$ppl > 20.0" | bc) -eq 1 ]; then
+            printf '  - %s @ %s (FAIL: ppl > 20.0)\n' "$qnt" "$ppl"
+            return 20
+        fi
+
+        printf '  - %s @ %s OK\n' "$qnt" "$ppl"
+        return 0
+    }
+
+    check_ppl "f16"  "$(cat $OUT/${ci}-tg-f16.log  | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q8_0" "$(cat $OUT/${ci}-tg-q8_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q4_0" "$(cat $OUT/${ci}-tg-q4_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q4_1" "$(cat $OUT/${ci}-tg-q4_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q5_0" "$(cat $OUT/${ci}-tg-q5_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q5_1" "$(cat $OUT/${ci}-tg-q5_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+   #check_ppl "q2_k" "$(cat $OUT/${ci}-tg-q2_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log # note: ppl > 20.0 for this quant and model
+    check_ppl "q3_k" "$(cat $OUT/${ci}-tg-q3_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q4_k" "$(cat $OUT/${ci}-tg-q4_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q5_k" "$(cat $OUT/${ci}-tg-q5_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q6_k" "$(cat $OUT/${ci}-tg-q6_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+
+    cat $OUT/${ci}-imatrix.log | grep "Final" >> $OUT/${ci}-imatrix-sum.log
+
+    set +e
+}
+
+function gg_sum_pythia_1_4b {
+    gg_printf '### %s\n\n' "${ci}"
+
+    gg_printf 'Pythia 1.4B:\n'
+    gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
+    gg_printf '- perplexity:\n%s\n' "$(cat $OUT/${ci}-ppl.log)"
+    gg_printf '- imatrix:\n```\n%s\n```\n' "$(cat $OUT/${ci}-imatrix-sum.log)"
+    gg_printf '- f16: \n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-f16.log)"
+    gg_printf '- q8_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q8_0.log)"
+    gg_printf '- q4_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_0.log)"
+    gg_printf '- q4_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_1.log)"
+    gg_printf '- q5_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_0.log)"
+    gg_printf '- q5_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_1.log)"
+    gg_printf '- q2_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q2_k.log)"
+    gg_printf '- q3_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q3_k.log)"
+    gg_printf '- q4_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_k.log)"
+    gg_printf '- q5_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_k.log)"
+    gg_printf '- q6_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q6_k.log)"
+    gg_printf '- save-load-state: \n```\n%s\n```\n' "$(cat $OUT/${ci}-save-load-state.log)"
+}
+
+# pythia_2_8b
+# requires: GG_BUILD_CUDA
+
+function gg_run_pythia_2_8b {
+    cd ${SRC}
+
+    gg_wget models-mnt/pythia/2.8B/ https://huggingface.co/EleutherAI/pythia-2.8b/raw/main/config.json
+    gg_wget models-mnt/pythia/2.8B/ https://huggingface.co/EleutherAI/pythia-2.8b/raw/main/tokenizer.json
+    gg_wget models-mnt/pythia/2.8B/ https://huggingface.co/EleutherAI/pythia-2.8b/raw/main/tokenizer_config.json
+    gg_wget models-mnt/pythia/2.8B/ https://huggingface.co/EleutherAI/pythia-2.8b/raw/main/special_tokens_map.json
+    gg_wget models-mnt/pythia/2.8B/ https://huggingface.co/EleutherAI/pythia-2.8b/resolve/main/pytorch_model.bin
+
+    gg_wget models-mnt/wikitext/ https://huggingface.co/datasets/ggml-org/ci/resolve/main/wikitext-2-raw-v1.zip
+    unzip -o models-mnt/wikitext/wikitext-2-raw-v1.zip -d models-mnt/wikitext/
+
+    path_models="../models-mnt/pythia/2.8B"
+    path_wiki="../models-mnt/wikitext/wikitext-2-raw"
+
+    rm -rf build-ci-release && mkdir build-ci-release && cd build-ci-release
+
+    set -e
+
+    (time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} -DLLAMA_CUDA=1 .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
+    (time make -j                                                           ) 2>&1 | tee -a $OUT/${ci}-make.log
+
+    python3 ../convert-hf-to-gguf.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf
+
+    model_f16="${path_models}/ggml-model-f16.gguf"
+    model_q8_0="${path_models}/ggml-model-q8_0.gguf"
+    model_q4_0="${path_models}/ggml-model-q4_0.gguf"
+    model_q4_1="${path_models}/ggml-model-q4_1.gguf"
+    model_q5_0="${path_models}/ggml-model-q5_0.gguf"
+    model_q5_1="${path_models}/ggml-model-q5_1.gguf"
+    model_q2_k="${path_models}/ggml-model-q2_k.gguf"
+    model_q3_k="${path_models}/ggml-model-q3_k.gguf"
+    model_q4_k="${path_models}/ggml-model-q4_k.gguf"
+    model_q5_k="${path_models}/ggml-model-q5_k.gguf"
+    model_q6_k="${path_models}/ggml-model-q6_k.gguf"
+
+    wiki_test="${path_wiki}/wiki.test.raw"
+
+    ./bin/quantize ${model_f16} ${model_q8_0} q8_0
+    ./bin/quantize ${model_f16} ${model_q4_0} q4_0
+    ./bin/quantize ${model_f16} ${model_q4_1} q4_1
+    ./bin/quantize ${model_f16} ${model_q5_0} q5_0
+    ./bin/quantize ${model_f16} ${model_q5_1} q5_1
+    ./bin/quantize ${model_f16} ${model_q2_k} q2_k
+    ./bin/quantize ${model_f16} ${model_q3_k} q3_k
+    ./bin/quantize ${model_f16} ${model_q4_k} q4_k
+    ./bin/quantize ${model_f16} ${model_q5_k} q5_k
+    ./bin/quantize ${model_f16} ${model_q6_k} q6_k
+
+    (time ./bin/main --model ${model_f16}  -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
+    (time ./bin/main --model ${model_q8_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
+    (time ./bin/main --model ${model_q4_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
+    (time ./bin/main --model ${model_q4_1} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
+    (time ./bin/main --model ${model_q5_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
+    (time ./bin/main --model ${model_q5_1} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
+    (time ./bin/main --model ${model_q2_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
+    (time ./bin/main --model ${model_q3_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
+    (time ./bin/main --model ${model_q4_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
+    (time ./bin/main --model ${model_q5_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
+    (time ./bin/main --model ${model_q6_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
+
+    (time ./bin/perplexity --model ${model_f16}  -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
+    (time ./bin/perplexity --model ${model_q8_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
+    (time ./bin/perplexity --model ${model_q4_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
+    (time ./bin/perplexity --model ${model_q4_1} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
+    (time ./bin/perplexity --model ${model_q5_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
+    (time ./bin/perplexity --model ${model_q5_1} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
+    (time ./bin/perplexity --model ${model_q2_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
+    (time ./bin/perplexity --model ${model_q3_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
+    (time ./bin/perplexity --model ${model_q4_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
+    (time ./bin/perplexity --model ${model_q5_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
+    (time ./bin/perplexity --model ${model_q6_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
+
+    (time ./bin/imatrix --model ${model_f16} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-imatrix.log
+
+    (time ./bin/save-load-state     -ngl 10 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/save-load-state -fa -ngl 10 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/save-load-state     -ngl 99 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/save-load-state -fa -ngl 99 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+
+    function check_ppl {
+        qnt="$1"
+        ppl=$(echo "$2" | grep -oE "[0-9]+\.[0-9]+" | tail -n 1)
+
+        if [ $(echo "$ppl > 20.0" | bc) -eq 1 ]; then
+            printf '  - %s @ %s (FAIL: ppl > 20.0)\n' "$qnt" "$ppl"
+            return 20
+        fi
+
+        printf '  - %s @ %s OK\n' "$qnt" "$ppl"
+        return 0
+    }
+
+    check_ppl "f16"  "$(cat $OUT/${ci}-tg-f16.log  | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q8_0" "$(cat $OUT/${ci}-tg-q8_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q4_0" "$(cat $OUT/${ci}-tg-q4_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q4_1" "$(cat $OUT/${ci}-tg-q4_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q5_0" "$(cat $OUT/${ci}-tg-q5_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q5_1" "$(cat $OUT/${ci}-tg-q5_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+   #check_ppl "q2_k" "$(cat $OUT/${ci}-tg-q2_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log # note: ppl > 20.0 for this quant and model
+    check_ppl "q3_k" "$(cat $OUT/${ci}-tg-q3_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q4_k" "$(cat $OUT/${ci}-tg-q4_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q5_k" "$(cat $OUT/${ci}-tg-q5_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+    check_ppl "q6_k" "$(cat $OUT/${ci}-tg-q6_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
+
+    cat $OUT/${ci}-imatrix.log | grep "Final" >> $OUT/${ci}-imatrix-sum.log
+
+    set +e
+}
+
+function gg_sum_pythia_2_8b {
+    gg_printf '### %s\n\n' "${ci}"
+
+    gg_printf 'Pythia 2.8B:\n'
+    gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
+    gg_printf '- perplexity:\n%s\n' "$(cat $OUT/${ci}-ppl.log)"
+    gg_printf '- imatrix:\n```\n%s\n```\n' "$(cat $OUT/${ci}-imatrix-sum.log)"
+    gg_printf '- f16: \n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-f16.log)"
+    gg_printf '- q8_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q8_0.log)"
+    gg_printf '- q4_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_0.log)"
+    gg_printf '- q4_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_1.log)"
+    gg_printf '- q5_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_0.log)"
+    gg_printf '- q5_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_1.log)"
+    gg_printf '- q2_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q2_k.log)"
+    gg_printf '- q3_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q3_k.log)"
+    gg_printf '- q4_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_k.log)"
+    gg_printf '- q5_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_k.log)"
+    gg_printf '- q6_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q6_k.log)"
+    gg_printf '- save-load-state: \n```\n%s\n```\n' "$(cat $OUT/${ci}-save-load-state.log)"
+}
+
 # bge-small
 
 function gg_run_embd_bge_small {
@@ -552,7 +688,7 @@ function gg_run_embd_bge_small {
     (time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
     (time make -j                                            ) 2>&1 | tee -a $OUT/${ci}-make.log
 
-    python3 ../convert-hf-to-gguf.py ${path_models}
+    python3 ../convert-hf-to-gguf.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf
 
     model_f16="${path_models}/ggml-model-f16.gguf"
     model_q8_0="${path_models}/ggml-model-q8_0.gguf"
@@ -606,9 +742,10 @@ if [ -z ${GG_BUILD_LOW_PERF} ]; then
 
     if [ -z ${GG_BUILD_VRAM_GB} ] || [ ${GG_BUILD_VRAM_GB} -ge 8 ]; then
         if [ -z ${GG_BUILD_CUDA} ]; then
-            test $ret -eq 0 && gg_run open_llama_3b_v2
+            test $ret -eq 0 && gg_run pythia_1_4b
         else
-            test $ret -eq 0 && gg_run open_llama_7b_v2
+            test $ret -eq 0 && gg_run pythia_2_8b
+            #test $ret -eq 0 && gg_run open_llama_7b_v2
         fi
         test $ret -eq 0 && gg_run ctest_with_model_debug
         test $ret -eq 0 && gg_run ctest_with_model_release
diff --git a/cmake/arm64-windows-llvm.cmake b/cmake/arm64-windows-llvm.cmake
new file mode 100644
index 000000000..802379680
--- /dev/null
+++ b/cmake/arm64-windows-llvm.cmake
@@ -0,0 +1,16 @@
+set( CMAKE_SYSTEM_NAME Windows )
+set( CMAKE_SYSTEM_PROCESSOR arm64 )
+
+set( target arm64-pc-windows-msvc )
+
+set( CMAKE_C_COMPILER    clang )
+set( CMAKE_CXX_COMPILER  clang++ )
+
+set( CMAKE_C_COMPILER_TARGET   ${target} )
+set( CMAKE_CXX_COMPILER_TARGET ${target} )
+
+set( arch_c_flags "-march=armv8.7-a -fvectorize -ffp-model=fast -fno-finite-math-only" )
+set( warn_c_flags "-Wno-format -Wno-unused-variable -Wno-unused-function -Wno-gnu-zero-variadic-macro-arguments" )
+
+set( CMAKE_C_FLAGS_INIT   "${arch_c_flags} ${warn_c_flags}" )
+set( CMAKE_CXX_FLAGS_INIT "${arch_c_flags} ${warn_c_flags}" )
diff --git a/cmake/arm64-windows-msvc.cmake b/cmake/arm64-windows-msvc.cmake
new file mode 100644
index 000000000..c77631420
--- /dev/null
+++ b/cmake/arm64-windows-msvc.cmake
@@ -0,0 +1,6 @@
+set( CMAKE_SYSTEM_NAME Windows )
+set( CMAKE_SYSTEM_PROCESSOR arm64 )
+
+set( target arm64-pc-windows-msvc )
+set( CMAKE_C_COMPILER_TARGET   ${target} )
+set( CMAKE_CXX_COMPILER_TARGET ${target} )
diff --git a/cmake/llama.pc.in b/cmake/llama.pc.in
new file mode 100644
index 000000000..326acbb61
--- /dev/null
+++ b/cmake/llama.pc.in
@@ -0,0 +1,10 @@
+prefix=@CMAKE_INSTALL_PREFIX@
+exec_prefix=${prefix}
+libdir=${exec_prefix}/lib
+includedir=${prefix}/include
+
+Name: llama
+Description: Port of Facebook's LLaMA model in C/C++
+Version: @PROJECT_VERSION@
+Libs: -L${libdir} -lllama
+Cflags: -I${includedir}
diff --git a/common/common.cpp b/common/common.cpp
index ba1ecf0e5..c8df9a4ce 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -7,20 +7,21 @@
 
 #include <algorithm>
 #include <cassert>
+#include <cinttypes>
 #include <cmath>
+#include <codecvt>
+#include <cstdarg>
 #include <cstring>
 #include <ctime>
 #include <fstream>
-#include <iterator>
 #include <iostream>
+#include <iterator>
 #include <regex>
 #include <sstream>
 #include <string>
 #include <unordered_map>
 #include <unordered_set>
 #include <vector>
-#include <cinttypes>
-#include <codecvt>
 
 #if defined(__APPLE__) && defined(__MACH__)
 #include <sys/types.h>
@@ -73,7 +74,11 @@
 
 using json = nlohmann::ordered_json;
 
-int32_t get_num_physical_cores() {
+//
+// CPU utils
+//
+
+int32_t cpu_get_num_physical_cores() {
 #ifdef __linux__
     // enumerate the set of thread siblings, num entries is num cores
     std::unordered_set<std::string> siblings;
@@ -142,9 +147,9 @@ static bool is_running_on_efficiency_core(void) {
     return core_type == intel_atom;
 }
 
-static int count_math_cpus(int cpu_count) {
+static int cpu_count_math_cpus(int n_cpu) {
     int result = 0;
-    for (int cpu = 0; cpu < cpu_count; ++cpu) {
+    for (int cpu = 0; cpu < n_cpu; ++cpu) {
         if (pin_cpu(cpu)) {
             return -1;
         }
@@ -162,16 +167,16 @@ static int count_math_cpus(int cpu_count) {
 /**
  * Returns number of CPUs on system that are useful for math.
  */
-int get_math_cpu_count() {
+int32_t cpu_get_num_math() {
 #if defined(__x86_64__) && defined(__linux__) && !defined(__ANDROID__)
-    int cpu_count = sysconf(_SC_NPROCESSORS_ONLN);
-    if (cpu_count < 1) {
-        return get_num_physical_cores();
+    int n_cpu = sysconf(_SC_NPROCESSORS_ONLN);
+    if (n_cpu < 1) {
+        return cpu_get_num_physical_cores();
     }
     if (is_hybrid_cpu()) {
         cpu_set_t affinity;
         if (!pthread_getaffinity_np(pthread_self(), sizeof(affinity), &affinity)) {
-            int result = count_math_cpus(cpu_count);
+            int result = cpu_count_math_cpus(n_cpu);
             pthread_setaffinity_np(pthread_self(), sizeof(affinity), &affinity);
             if (result > 0) {
                 return result;
@@ -179,109 +184,104 @@ int get_math_cpu_count() {
         }
     }
 #endif
-    return get_num_physical_cores();
+    return cpu_get_num_physical_cores();
 }
 
-void process_escapes(std::string & input) {
-    std::size_t input_len = input.length();
-    std::size_t output_idx = 0;
+//
+// CLI argument parsing
+//
 
-    for (std::size_t input_idx = 0; input_idx < input_len; ++input_idx) {
-        if (input[input_idx] == '\\' && input_idx + 1 < input_len) {
-            switch (input[++input_idx]) {
-                case 'n':  input[output_idx++] = '\n'; break;
-                case 'r':  input[output_idx++] = '\r'; break;
-                case 't':  input[output_idx++] = '\t'; break;
-                case '\'': input[output_idx++] = '\''; break;
-                case '\"': input[output_idx++] = '\"'; break;
-                case '\\': input[output_idx++] = '\\'; break;
-                case 'x':
-                    // Handle \x12, etc
-                    if (input_idx + 2 < input_len) {
-                        const char x[3] = { input[input_idx + 1], input[input_idx + 2], 0 };
-                        char *err_p = nullptr;
-                        const long val = std::strtol(x, &err_p, 16);
-                        if (err_p == x + 2) {
-                            input_idx += 2;
-                            input[output_idx++] = char(val);
-                            break;
-                        }
-                    }
-                    // fall through
-                default:   input[output_idx++] = '\\';
-                           input[output_idx++] = input[input_idx]; break;
+void gpt_params_handle_model_default(gpt_params & params) {
+    if (!params.hf_repo.empty()) {
+        // short-hand to avoid specifying --hf-file -> default it to --model
+        if (params.hf_file.empty()) {
+            if (params.model.empty()) {
+                throw std::invalid_argument("error: --hf-repo requires either --hf-file or --model\n");
             }
-        } else {
-            input[output_idx++] = input[input_idx];
+            params.hf_file = params.model;
+        } else if (params.model.empty()) {
+            std::string cache_directory = fs_get_cache_directory();
+            const bool success = fs_create_directory_with_parents(cache_directory);
+            if (!success) {
+                throw std::runtime_error("failed to create cache directory: " + cache_directory);
+            }
+            params.model = cache_directory + string_split(params.hf_file, '/').back();
+        }
+    } else if (!params.model_url.empty()) {
+        if (params.model.empty()) {
+            auto f = string_split(params.model_url, '#').front();
+            f = string_split(f, '?').front();
+            f = string_split(f, '/').back();
+            params.model =  "models/" + f;
+        }
+    } else if (params.model.empty()) {
+        params.model = DEFAULT_MODEL_PATH;
+    }
+}
+
+bool gpt_params_parse_ex(int argc, char ** argv, gpt_params & params) {
+    bool invalid_param = false;
+    std::string arg;
+    const std::string arg_prefix = "--";
+    llama_sampling_params & sparams = params.sparams;
+
+    for (int i = 1; i < argc; i++) {
+        arg = argv[i];
+        if (arg.compare(0, arg_prefix.size(), arg_prefix) == 0) {
+            std::replace(arg.begin(), arg.end(), '_', '-');
+        }
+        if (!gpt_params_find_arg(argc, argv, arg, params, i, invalid_param)) {
+            throw std::invalid_argument("error: unknown argument: " + arg);
+        }
+        if (invalid_param) {
+            throw std::invalid_argument("error: invalid parameter for argument: " + arg);
         }
     }
 
-    input.resize(output_idx);
+    if (params.prompt_cache_all && (params.interactive || params.interactive_first)) {
+        throw std::invalid_argument("error: --prompt-cache-all not supported in interactive mode yet\n");
+    }
+
+    gpt_params_handle_model_default(params);
+
+    if (params.escape) {
+        string_process_escapes(params.prompt);
+        string_process_escapes(params.input_prefix);
+        string_process_escapes(params.input_suffix);
+        string_process_escapes(sparams.cfg_negative_prompt);
+        for (auto & antiprompt : params.antiprompt) {
+            string_process_escapes(antiprompt);
+        }
+    }
+
+    if (!params.kv_overrides.empty()) {
+        params.kv_overrides.emplace_back();
+        params.kv_overrides.back().key[0] = 0;
+    }
+
+    return true;
 }
 
 bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
-    bool result = true;
-    try {
-        if (!gpt_params_parse_ex(argc, argv, params)) {
-            gpt_print_usage(argc, argv, gpt_params());
-            exit(0);
-        }
-    }
-    catch (const std::invalid_argument & ex) {
-        fprintf(stderr, "%s\n", ex.what());
-        gpt_print_usage(argc, argv, gpt_params());
-        exit(1);
-    }
-    return result;
-}
+    const auto params_org = params; // the example can modify the default params
 
-bool parse_kv_override(const char * data, std::vector<llama_model_kv_override> & overrides) {
-    const char * sep = strchr(data, '=');
-    if (sep == nullptr || sep - data >= 128) {
-        fprintf(stderr, "%s: malformed KV override '%s'\n", __func__, data);
-        return false;
-    }
-    llama_model_kv_override kvo;
-    std::strncpy(kvo.key, data, sep - data);
-    kvo.key[sep - data] = 0;
-    sep++;
-    if (strncmp(sep, "int:", 4) == 0) {
-        sep += 4;
-        kvo.tag = LLAMA_KV_OVERRIDE_TYPE_INT;
-        kvo.val_i64 = std::atol(sep);
-    } else if (strncmp(sep, "float:", 6) == 0) {
-        sep += 6;
-        kvo.tag = LLAMA_KV_OVERRIDE_TYPE_FLOAT;
-        kvo.val_f64 = std::atof(sep);
-    } else if (strncmp(sep, "bool:", 5) == 0) {
-        sep += 5;
-        kvo.tag = LLAMA_KV_OVERRIDE_TYPE_BOOL;
-        if (std::strcmp(sep, "true") == 0) {
-            kvo.val_bool = true;
-        } else if (std::strcmp(sep, "false") == 0) {
-            kvo.val_bool = false;
-        } else {
-            fprintf(stderr, "%s: invalid boolean value for KV override '%s'\n", __func__, data);
+    try {
+        if (!gpt_params_parse_ex(argc, argv, params) || params.usage) {
+            params = params_org;
+            params.usage = true;
             return false;
         }
-    } else if (strncmp(sep, "str:", 4) == 0) {
-        sep += 4;
-        kvo.tag = LLAMA_KV_OVERRIDE_TYPE_STR;
-        if (strlen(sep) > 127) {
-            fprintf(stderr, "%s: malformed KV override '%s', value cannot exceed 127 chars\n", __func__, data);
-            return false;
-        }
-        strncpy(kvo.val_str, sep, 127);
-        kvo.val_str[127] = '\0';
-    } else {
-        fprintf(stderr, "%s: invalid type for KV override '%s'\n", __func__, data);
+    } catch (const std::invalid_argument & ex) {
+        fprintf(stderr, "%s\n", ex.what());
         return false;
     }
-    overrides.emplace_back(std::move(kvo));
+
     return true;
 }
 
 bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_params & params, int & i, bool & invalid_param) {
+    const char split_delim = ',';
+
     llama_sampling_params & sparams = params.sparams;
 
     if (arg == "-s" || arg == "--seed") {
@@ -289,7 +289,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
             invalid_param = true;
             return true;
         }
-        // This is temporary, in the future the samplign state will be moved fully to llama_sampling_context.
+        // TODO: this is temporary, in the future the sampling state will be moved fully to llama_sampling_context.
         params.seed = std::stoul(argv[i]);
         sparams.seed = std::stoul(argv[i]);
         return true;
@@ -350,6 +350,10 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.escape = true;
         return true;
     }
+    if (arg == "--no-escape") {
+        params.escape = false;
+        return true;
+    }
     if (arg == "--prompt-cache") {
         if (++i >= argc) {
             invalid_param = true;
@@ -404,7 +408,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         }
         return true;
     }
-    if (arg == "-n" || arg == "--n-predict") {
+    if (arg == "-n" || arg == "--predict" || arg == "--n-predict") {
         if (++i >= argc) {
             invalid_param = true;
             return true;
@@ -546,7 +550,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
             return true;
         }
         const auto sampler_names = string_split(argv[i], ';');
-        sparams.samplers_sequence = sampler_types_from_names(sampler_names, true);
+        sparams.samplers_sequence = llama_sampling_types_from_names(sampler_names, true);
         return true;
     }
     if (arg == "--sampling-seq") {
@@ -554,7 +558,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
             invalid_param = true;
             return true;
         }
-        sparams.samplers_sequence = sampler_types_from_chars(argv[i]);
+        sparams.samplers_sequence = llama_sampling_types_from_chars(argv[i]);
         return true;
     }
     if (arg == "--top-p") {
@@ -901,30 +905,22 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.interactive = true;
         return true;
     }
-    if (arg == "--interactive-specials") {
-        params.interactive_specials = true;
+    if (arg == "-sp" || arg == "--special") {
+        params.special = true;
         return true;
     }
-    if (arg == "--embedding") {
+    if (arg == "--embedding" || arg == "--embeddings") {
         params.embedding = true;
         return true;
     }
-    if (arg == "--interactive-first") {
+    if (arg == "-if" || arg == "--interactive-first") {
         params.interactive_first = true;
         return true;
     }
-    if (arg == "-ins" || arg == "--instruct") {
-        params.instruct = true;
-        return true;
-    }
     if (arg == "-cnv" || arg == "--conversation") {
         params.conversation = true;
         return true;
     }
-    if (arg == "-cml" || arg == "--chatml") {
-        params.chatml = true;
-        return true;
-    }
     if (arg == "--infill") {
         params.infill = true;
         return true;
@@ -961,7 +957,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.flash_attn = true;
         return true;
     }
-    if (arg == "--color") {
+    if (arg == "-co" || arg == "--color") {
         params.use_color = true;
         return true;
     }
@@ -969,26 +965,26 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.use_mlock = true;
         return true;
     }
-    if (arg == "--gpu-layers" || arg == "-ngl" || arg == "--n-gpu-layers") {
+    if (arg == "-ngl" || arg == "--gpu-layers" || arg == "--n-gpu-layers") {
         if (++i >= argc) {
             invalid_param = true;
             return true;
         }
         params.n_gpu_layers = std::stoi(argv[i]);
         if (!llama_supports_gpu_offload()) {
-            fprintf(stderr, "warning: not compiled with GPU offload support, --n-gpu-layers option will be ignored\n");
+            fprintf(stderr, "warning: not compiled with GPU offload support, --gpu-layers option will be ignored\n");
             fprintf(stderr, "warning: see main README.md for information on enabling GPU BLAS support\n");
         }
         return true;
     }
-    if (arg == "--gpu-layers-draft" || arg == "-ngld" || arg == "--n-gpu-layers-draft") {
+    if (arg == "-ngld" || arg == "--gpu-layers-draft" || arg == "--gpu-layers-draft") {
         if (++i >= argc) {
             invalid_param = true;
             return true;
         }
         params.n_gpu_layers_draft = std::stoi(argv[i]);
         if (!llama_supports_gpu_offload()) {
-            fprintf(stderr, "warning: not compiled with GPU offload support, --n-gpu-layers-draft option will be ignored\n");
+            fprintf(stderr, "warning: not compiled with GPU offload support, --gpu-layers-draft option will be ignored\n");
             fprintf(stderr, "warning: see main README.md for information on enabling GPU BLAS support\n");
         }
         return true;
@@ -999,9 +995,9 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
             return true;
         }
         params.main_gpu = std::stoi(argv[i]);
-#ifndef GGML_USE_CUDA_SYCL
-        fprintf(stderr, "warning: llama.cpp was compiled without CUDA/SYCL. Setting the main GPU has no effect.\n");
-#endif // GGML_USE_CUDA_SYCL
+#ifndef GGML_USE_CUDA_SYCL_VULKAN
+        fprintf(stderr, "warning: llama.cpp was compiled without CUDA/SYCL/Vulkan. Setting the main GPU has no effect.\n");
+#endif // GGML_USE_CUDA_SYCL_VULKAN
         return true;
     }
     if (arg == "--split-mode" || arg == "-sm") {
@@ -1027,9 +1023,9 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
             invalid_param = true;
             return true;
         }
-#ifndef GGML_USE_CUDA_SYCL
-        fprintf(stderr, "warning: llama.cpp was compiled without CUDA/SYCL. Setting the split mode has no effect.\n");
-#endif // GGML_USE_CUDA_SYCL
+#ifndef GGML_USE_CUDA_SYCL_VULKAN
+        fprintf(stderr, "warning: llama.cpp was compiled without CUDA/SYCL/Vulkan. Setting the split mode has no effect.\n");
+#endif // GGML_USE_CUDA_SYCL_VULKAN
         return true;
     }
     if (arg == "--tensor-split" || arg == "-ts") {
@@ -1060,6 +1056,14 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
 #endif // GGML_USE_CUDA_SYCL_VULKAN
         return true;
     }
+    if (arg == "--rpc") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.rpc_servers = argv[i];
+        return true;
+    }
     if (arg == "--no-mmap") {
         params.use_mmap = false;
         return true;
@@ -1076,6 +1080,10 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         else { invalid_param = true; }
         return true;
     }
+    if (arg == "-v" || arg == "--verbose") {
+        params.verbose = true;
+        return true;
+    }
     if (arg == "--verbose-prompt") {
         params.verbose_prompt = true;
         return true;
@@ -1140,6 +1148,14 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.ppl_stride = std::stoi(argv[i]);
         return true;
     }
+    if (arg == "--ppl-output-type") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.ppl_output_type = std::stoi(argv[i]);
+        return true;
+    }
     if (arg == "-ptc" || arg == "--print-token-count") {
         if (++i >= argc) {
             invalid_param = true;
@@ -1152,14 +1168,6 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.check_tensors = true;
         return true;
     }
-    if (arg == "--ppl-output-type") {
-        if (++i >= argc) {
-            invalid_param = true;
-            return true;
-        }
-        params.ppl_output_type = std::stoi(argv[i]);
-        return true;
-    }
     if (arg == "--hellaswag") {
         params.hellaswag = true;
         return true;
@@ -1231,19 +1239,15 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         }
         return true;
     }
-    if (arg == "-h" || arg == "--help") {
-        gpt_print_usage(argc, argv, gpt_params());
-        exit(0);
+    if (arg == "-h" || arg == "--help" || arg == "--usage"  ) {
+        params.usage = true;
+        return true;
     }
     if (arg == "--version") {
         fprintf(stderr, "version: %d (%s)\n", LLAMA_BUILD_NUMBER, LLAMA_COMMIT);
         fprintf(stderr, "built with %s for %s\n", LLAMA_COMPILER, LLAMA_BUILD_TARGET);
         exit(0);
     }
-    if (arg == "--random-prompt") {
-        params.random_prompt = true;
-        return true;
-    }
     if (arg == "--in-prefix-bos") {
         params.input_prefix_bos = true;
         return true;
@@ -1303,13 +1307,236 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
             invalid_param = true;
             return true;
         }
-        if (!parse_kv_override(argv[i], params.kv_overrides)) {
+        if (!string_parse_kv_override(argv[i], params.kv_overrides)) {
             fprintf(stderr, "error: Invalid type for KV override: %s\n", argv[i]);
             invalid_param = true;
             return true;
         }
         return true;
     }
+    if (arg == "--host") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.hostname = argv[i];
+        return true;
+    }
+    if (arg == "--port") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.port = std::stoi(argv[i]);
+        return true;
+    }
+    if (arg == "--path") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.public_path = argv[i];
+        return true;
+    }
+    if (arg == "--api-key") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.api_keys.push_back(argv[i]);
+        return true;
+    }
+    if (arg == "--api-key-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        std::ifstream key_file(argv[i]);
+        if (!key_file) {
+            fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
+            invalid_param = true;
+            return true;
+        }
+        std::string key;
+        while (std::getline(key_file, key)) {
+            if (!key.empty()) {
+                params.api_keys.push_back(key);
+            }
+        }
+        key_file.close();
+        return true;
+    }
+    if (arg == "--ssl-key-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.ssl_file_key = argv[i];
+        return true;
+    }
+    if (arg == "--ssl-cert-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.ssl_file_cert = argv[i];
+        return true;
+    }
+    if (arg == "--timeout" || arg == "-to") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.timeout_read  = std::stoi(argv[i]);
+        params.timeout_write = std::stoi(argv[i]);
+        return true;
+    }
+    if (arg == "-spf" || arg == "--system-prompt-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        std::ifstream file(argv[i]);
+        if (!file) {
+            fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
+            invalid_param = true;
+            return true;
+        }
+        std::string system_prompt;
+        std::copy(
+                std::istreambuf_iterator<char>(file),
+                std::istreambuf_iterator<char>(),
+                std::back_inserter(system_prompt)
+                );
+        params.system_prompt = system_prompt;
+        return true;
+    }
+    if (arg == "--log-format") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        if (std::strcmp(argv[i], "json") == 0) {
+            params.log_json = true;
+        } else if (std::strcmp(argv[i], "text") == 0) {
+            params.log_json = false;
+        } else {
+            invalid_param = true;
+            return true;
+        }
+        return true;
+    }
+    if (arg == "--no-slots") {
+        params.endpoint_slots = false;
+        return true;
+    }
+    if (arg == "--metrics") {
+        params.endpoint_metrics = true;
+        return true;
+    }
+    if (arg == "--slot-save-path") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.slot_save_path = argv[i];
+        // if doesn't end with DIRECTORY_SEPARATOR, add it
+        if (!params.slot_save_path.empty() && params.slot_save_path[params.slot_save_path.size() - 1] != DIRECTORY_SEPARATOR) {
+            params.slot_save_path += DIRECTORY_SEPARATOR;
+        }
+        return true;
+    }
+    if (arg == "--chat-template") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        if (!llama_chat_verify_template(argv[i])) {
+            fprintf(stderr, "error: the supplied chat template is not supported: %s\n", argv[i]);
+            fprintf(stderr, "note: llama.cpp does not use jinja parser, we only support commonly used templates\n");
+            invalid_param = true;
+            return true;
+        }
+        params.chat_template = argv[i];
+        return true;
+    }
+    if (arg == "-pps") {
+        params.is_pp_shared = true;
+        return true;
+    }
+    if (arg == "-npp") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        auto p = string_split<int>(argv[i], split_delim);
+        params.n_pp.insert(params.n_pp.end(), p.begin(), p.end());
+        return true;
+    }
+    if (arg == "-ntg") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        auto p = string_split<int>(argv[i], split_delim);
+        params.n_tg.insert(params.n_tg.end(), p.begin(), p.end());
+        return true;
+    }
+    if (arg == "-npl") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        auto p = string_split<int>(argv[i], split_delim);
+        params.n_pl.insert(params.n_pl.end(), p.begin(), p.end());
+        return true;
+    }
+    if (arg == "--context-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        std::ifstream file(argv[i], std::ios::binary);
+        if (!file) {
+            fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
+            invalid_param = true;
+            return true;
+        }
+        params.context_files.push_back(argv[i]);
+        return true;
+    }
+    if (arg == "--chunk-size") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.chunk_size = std::stoi(argv[i]);
+        return true;
+    }
+    if (arg == "--chunk-separator") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.chunk_separator = argv[i];
+        return true;
+    }
+    if (arg == "--junk") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.n_junk = std::stoi(argv[i]);
+        return true;
+    }
+    if (arg == "--pos") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.i_pos = std::stoi(argv[i]);
+        return true;
+    }
 #ifndef LOG_DISABLE_LOGS
     // Parse args for logging parameters
     if (log_param_single_parse(argv[i])) {
@@ -1337,279 +1564,314 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
     return false;
 }
 
-void gpt_params_handle_model_default(gpt_params & params) {
-    if (!params.hf_repo.empty()) {
-        // short-hand to avoid specifying --hf-file -> default it to --model
-        if (params.hf_file.empty()) {
-            if (params.model.empty()) {
-                throw std::invalid_argument("error: --hf-repo requires either --hf-file or --model\n");
-            }
-            params.hf_file = params.model;
-        } else if (params.model.empty()) {
-            params.model = "models/" + string_split(params.hf_file, '/').back();
-        }
-    } else if (!params.model_url.empty()) {
-        if (params.model.empty()) {
-            auto f = string_split(params.model_url, '#').front();
-            f = string_split(f, '?').front();
-            f = string_split(f, '/').back();
-            params.model =  "models/" + f;
-        }
-    } else if (params.model.empty()) {
-        params.model = DEFAULT_MODEL_PATH;
-    }
-}
+#ifdef __GNUC__
+#ifdef __MINGW32__
+#define LLAMA_COMMON_ATTRIBUTE_FORMAT(...) __attribute__((format(gnu_printf, __VA_ARGS__)))
+#else
+#define LLAMA_COMMON_ATTRIBUTE_FORMAT(...) __attribute__((format(printf, __VA_ARGS__)))
+#endif
+#else
+#define LLAMA_COMMON_ATTRIBUTE_FORMAT(...)
+#endif
 
-bool gpt_params_parse_ex(int argc, char ** argv, gpt_params & params) {
-    bool invalid_param = false;
-    std::string arg;
-    const std::string arg_prefix = "--";
-    llama_sampling_params & sparams = params.sparams;
-
-    for (int i = 1; i < argc; i++) {
-        arg = argv[i];
-        if (arg.compare(0, arg_prefix.size(), arg_prefix) == 0) {
-            std::replace(arg.begin(), arg.end(), '_', '-');
-        }
-        if (!gpt_params_find_arg(argc, argv, arg, params, i, invalid_param)) {
-            throw std::invalid_argument("error: unknown argument: " + arg);
-        }
-        if (invalid_param) {
-            throw std::invalid_argument("error: invalid parameter for argument: " + arg);
-        }
-    }
-
-    if (params.prompt_cache_all &&
-            (params.interactive || params.interactive_first ||
-             params.instruct)) {
-
-        throw std::invalid_argument("error: --prompt-cache-all not supported in interactive mode yet\n");
-    }
-
-    gpt_params_handle_model_default(params);
-
-    if (params.escape) {
-        process_escapes(params.prompt);
-        process_escapes(params.input_prefix);
-        process_escapes(params.input_suffix);
-        process_escapes(sparams.cfg_negative_prompt);
-        for (auto & antiprompt : params.antiprompt) {
-            process_escapes(antiprompt);
-        }
-    }
-
-    if (!params.kv_overrides.empty()) {
-        params.kv_overrides.emplace_back();
-        params.kv_overrides.back().key[0] = 0;
-    }
-
-    return true;
-}
-
-void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
+void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
     const llama_sampling_params & sparams = params.sparams;
 
     std::string sampler_type_chars;
     std::string sampler_type_names;
     for (const auto sampler_type : sparams.samplers_sequence) {
         sampler_type_chars += static_cast<char>(sampler_type);
-        sampler_type_names += sampler_type_to_name_string(sampler_type) + ";";
+        sampler_type_names += llama_sampling_type_to_str(sampler_type) + ";";
     }
     sampler_type_names.pop_back();
 
-    printf("\n");
-    printf("usage: %s [options]\n", argv[0]);
-    printf("\n");
-    printf("options:\n");
-    printf("  -h, --help            show this help message and exit\n");
-    printf("  --version             show version and build info\n");
-    printf("  -i, --interactive     run in interactive mode\n");
-    printf("  --interactive-specials allow special tokens in user text, in interactive mode\n");
-    printf("  --interactive-first   run in interactive mode and wait for input right away\n");
-    printf("  -cnv, --conversation  run in conversation mode (does not print special tokens and suffix/prefix)\n");
-    printf("  -ins, --instruct      run in instruction mode (use with Alpaca models)\n");
-    printf("  -cml, --chatml        run in chatml mode (use with ChatML-compatible models)\n");
-    printf("  --multiline-input     allows you to write or paste multiple lines without ending each in '\\'\n");
-    printf("  -r PROMPT, --reverse-prompt PROMPT\n");
-    printf("                        halt generation at PROMPT, return control in interactive mode\n");
-    printf("                        (can be specified more than once for multiple prompts).\n");
-    printf("  --color               colorise output to distinguish prompt and user input from generations\n");
-    printf("  -s SEED, --seed SEED  RNG seed (default: -1, use random seed for < 0)\n");
-    printf("  -t N, --threads N     number of threads to use during generation (default: %d)\n", params.n_threads);
-    printf("  -tb N, --threads-batch N\n");
-    printf("                        number of threads to use during batch and prompt processing (default: same as --threads)\n");
-    printf("  -td N, --threads-draft N");
-    printf("                        number of threads to use during generation (default: same as --threads)\n");
-    printf("  -tbd N, --threads-batch-draft N\n");
-    printf("                        number of threads to use during batch and prompt processing (default: same as --threads-draft)\n");
-    printf("  -p PROMPT, --prompt PROMPT\n");
-    printf("                        prompt to start generation with (default: empty)\n");
-    printf("  -e, --escape          process prompt escapes sequences (\\n, \\r, \\t, \\', \\\", \\\\)\n");
-    printf("  --prompt-cache FNAME  file to cache prompt state for faster startup (default: none)\n");
-    printf("  --prompt-cache-all    if specified, saves user input and generations to cache as well.\n");
-    printf("                        not supported with --interactive or other interactive options\n");
-    printf("  --prompt-cache-ro     if specified, uses the prompt cache but does not update it.\n");
-    printf("  --random-prompt       start with a randomized prompt.\n");
-    printf("  --in-prefix-bos       prefix BOS to user inputs, preceding the `--in-prefix` string\n");
-    printf("  --in-prefix STRING    string to prefix user inputs with (default: empty)\n");
-    printf("  --in-suffix STRING    string to suffix after user inputs with (default: empty)\n");
-    printf("  -f FNAME, --file FNAME\n");
-    printf("                        prompt file to start generation.\n");
-    printf("  -bf FNAME, --binary-file FNAME\n");
-    printf("                        binary file containing multiple choice tasks.\n");
-    printf("  -n N, --n-predict N   number of tokens to predict (default: %d, -1 = infinity, -2 = until context filled)\n", params.n_predict);
-    printf("  -c N, --ctx-size N    size of the prompt context (default: %d, 0 = loaded from model)\n", params.n_ctx);
-    printf("  -b N, --batch-size N  logical maximum batch size (default: %d)\n", params.n_batch);
-    printf("  -ub N, --ubatch-size N\n");
-    printf("                        physical maximum batch size (default: %d)\n", params.n_ubatch);
-    printf("  --samplers            samplers that will be used for generation in the order, separated by \';\'\n");
-    printf("                        (default: %s)\n", sampler_type_names.c_str());
-    printf("  --sampling-seq        simplified sequence for samplers that will be used (default: %s)\n", sampler_type_chars.c_str());
-    printf("  --top-k N             top-k sampling (default: %d, 0 = disabled)\n", sparams.top_k);
-    printf("  --top-p N             top-p sampling (default: %.1f, 1.0 = disabled)\n", (double)sparams.top_p);
-    printf("  --min-p N             min-p sampling (default: %.1f, 0.0 = disabled)\n", (double)sparams.min_p);
-    printf("  --tfs N               tail free sampling, parameter z (default: %.1f, 1.0 = disabled)\n", (double)sparams.tfs_z);
-    printf("  --typical N           locally typical sampling, parameter p (default: %.1f, 1.0 = disabled)\n", (double)sparams.typical_p);
-    printf("  --repeat-last-n N     last n tokens to consider for penalize (default: %d, 0 = disabled, -1 = ctx_size)\n", sparams.penalty_last_n);
-    printf("  --repeat-penalty N    penalize repeat sequence of tokens (default: %.1f, 1.0 = disabled)\n", (double)sparams.penalty_repeat);
-    printf("  --presence-penalty N  repeat alpha presence penalty (default: %.1f, 0.0 = disabled)\n", (double)sparams.penalty_present);
-    printf("  --frequency-penalty N repeat alpha frequency penalty (default: %.1f, 0.0 = disabled)\n", (double)sparams.penalty_freq);
-    printf("  --dynatemp-range N    dynamic temperature range (default: %.1f, 0.0 = disabled)\n", (double)sparams.dynatemp_range);
-    printf("  --dynatemp-exp N      dynamic temperature exponent (default: %.1f)\n", (double)sparams.dynatemp_exponent);
-    printf("  --mirostat N          use Mirostat sampling.\n");
-    printf("                        Top K, Nucleus, Tail Free and Locally Typical samplers are ignored if used.\n");
-    printf("                        (default: %d, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)\n", sparams.mirostat);
-    printf("  --mirostat-lr N       Mirostat learning rate, parameter eta (default: %.1f)\n", (double)sparams.mirostat_eta);
-    printf("  --mirostat-ent N      Mirostat target entropy, parameter tau (default: %.1f)\n", (double)sparams.mirostat_tau);
-    printf("  -l TOKEN_ID(+/-)BIAS, --logit-bias TOKEN_ID(+/-)BIAS\n");
-    printf("                        modifies the likelihood of token appearing in the completion,\n");
-    printf("                        i.e. `--logit-bias 15043+1` to increase likelihood of token ' Hello',\n");
-    printf("                        or `--logit-bias 15043-1` to decrease likelihood of token ' Hello'\n");
-    printf("  --grammar GRAMMAR     BNF-like grammar to constrain generations (see samples in grammars/ dir)\n");
-    printf("  --grammar-file FNAME  file to read grammar from\n");
-    printf("  -j SCHEMA, --json-schema SCHEMA\n");
-    printf("                        JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object.\n");
-    printf("                        For schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead\n");
-    printf("  --cfg-negative-prompt PROMPT\n");
-    printf("                        negative prompt to use for guidance. (default: empty)\n");
-    printf("  --cfg-negative-prompt-file FNAME\n");
-    printf("                        negative prompt file to use for guidance. (default: empty)\n");
-    printf("  --cfg-scale N         strength of guidance (default: %f, 1.0 = disable)\n", sparams.cfg_scale);
-    printf("  --rope-scaling {none,linear,yarn}\n");
-    printf("                        RoPE frequency scaling method, defaults to linear unless specified by the model\n");
-    printf("  --rope-scale N        RoPE context scaling factor, expands context by a factor of N\n");
-    printf("  --rope-freq-base N    RoPE base frequency, used by NTK-aware scaling (default: loaded from model)\n");
-    printf("  --rope-freq-scale N   RoPE frequency scaling factor, expands context by a factor of 1/N\n");
-    printf("  --yarn-orig-ctx N     YaRN: original context size of model (default: 0 = model training context size)\n");
-    printf("  --yarn-ext-factor N   YaRN: extrapolation mix factor (default: 1.0, 0.0 = full interpolation)\n");
-    printf("  --yarn-attn-factor N  YaRN: scale sqrt(t) or attention magnitude (default: 1.0)\n");
-    printf("  --yarn-beta-slow N    YaRN: high correction dim or alpha (default: %.1f)\n", params.yarn_beta_slow);
-    printf("  --yarn-beta-fast N    YaRN: low correction dim or beta (default: %.1f)\n", params.yarn_beta_fast);
-    printf("  --pooling {none,mean,cls}\n");
-    printf("                        pooling type for embeddings, use model default if unspecified\n");
-    printf("  -dt N, --defrag-thold N\n");
-    printf("                        KV cache defragmentation threshold (default: %.1f, < 0 - disabled)\n", params.defrag_thold);
-    printf("  --ignore-eos          ignore end of stream token and continue generating (implies --logit-bias 2-inf)\n");
-    printf("  --penalize-nl         penalize newline tokens\n");
-    printf("  --temp N              temperature (default: %.1f)\n", (double)sparams.temp);
-    printf("  --all-logits          return logits for all tokens in the batch (default: disabled)\n");
-    printf("  --hellaswag           compute HellaSwag score over random tasks from datafile supplied with -f\n");
-    printf("  --hellaswag-tasks N   number of tasks to use when computing the HellaSwag score (default: %zu)\n", params.hellaswag_tasks);
-    printf("  --winogrande          compute Winogrande score over random tasks from datafile supplied with -f\n");
-    printf("  --winogrande-tasks N  number of tasks to use when computing the Winogrande score (default: %zu)\n", params.winogrande_tasks);
-    printf("  --multiple-choice     compute multiple choice score over random tasks from datafile supplied with -f\n");
-    printf("  --multiple-choice-tasks N number of tasks to use when computing the multiple choice score (default: %zu)\n", params.winogrande_tasks);
-    printf("  --kl-divergence       computes KL-divergence to logits provided via --kl-divergence-base\n");
-    printf("  --keep N              number of tokens to keep from the initial prompt (default: %d, -1 = all)\n", params.n_keep);
-    printf("  --draft N             number of tokens to draft for speculative decoding (default: %d)\n", params.n_draft);
-    printf("  --chunks N            max number of chunks to process (default: %d, -1 = all)\n", params.n_chunks);
-    printf("  -np N, --parallel N   number of parallel sequences to decode (default: %d)\n", params.n_parallel);
-    printf("  -ns N, --sequences N  number of sequences to decode (default: %d)\n", params.n_sequences);
-    printf("  -ps N, --p-split N    speculative decoding split probability (default: %.1f)\n", (double)params.p_split);
-    printf("  -cb, --cont-batching  enable continuous batching (a.k.a dynamic batching) (default: disabled)\n");
-    printf("  -fa, --flash-attn     enable Flash Attention (default: %s)\n", params.flash_attn ? "enabled" : "disabled");
-    printf("  --mmproj MMPROJ_FILE  path to a multimodal projector file for LLaVA. see examples/llava/README.md\n");
-    printf("  --image IMAGE_FILE    path to an image file. use with multimodal models. Specify multiple times for batching\n");
+    struct option_info {
+        LLAMA_COMMON_ATTRIBUTE_FORMAT(4, 5)
+        option_info(const std::string & tags, const char * args, const char * desc, ...) : tags(tags), args(args), desc(desc) {
+            va_list args_list;
+            va_start(args_list, desc);
+            char buffer[1024];
+            vsnprintf(buffer, sizeof(buffer), desc, args_list);
+            va_end(args_list);
+            this->desc = buffer;
+        }
+
+        option_info(const std::string & grp) : grp(grp) {}
+
+        std::string tags;
+        std::string args;
+        std::string desc;
+        std::string grp;
+    };
+
+    std::vector<option_info> options;
+
+    // TODO: filter by tags
+
+    options.push_back({ "general" });
+    options.push_back({ "*",           "-h,    --help, --usage",        "print usage and exit" });
+    options.push_back({ "*",           "       --version",              "show version and build info" });
+    options.push_back({ "*",           "-v,    --verbose",              "print verbose information" });
+    options.push_back({ "*",           "       --verbose-prompt",       "print a verbose prompt before generation (default: %s)", params.verbose_prompt ? "true" : "false" });
+    options.push_back({ "*",           "       --no-display-prompt",    "don't print prompt at generation (default: %s)", !params.display_prompt ? "true" : "false" });
+    options.push_back({ "*",           "-co,   --color",                "colorise output to distinguish prompt and user input from generations (default: %s)", params.use_color ? "true" : "false" });
+    options.push_back({ "*",           "-s,    --seed SEED",            "RNG seed (default: %d, use random seed for < 0)", params.seed });
+    options.push_back({ "*",           "-t,    --threads N",            "number of threads to use during generation (default: %d)", params.n_threads });
+    options.push_back({ "*",           "-tb,   --threads-batch N",      "number of threads to use during batch and prompt processing (default: same as --threads)" });
+    options.push_back({ "speculative", "-td,   --threads-draft N",      "number of threads to use during generation (default: same as --threads)" });
+    options.push_back({ "speculative", "-tbd,  --threads-batch-draft N",
+                                                                        "number of threads to use during batch and prompt processing (default: same as --threads-draft)" });
+    options.push_back({ "speculative", "       --draft N",              "number of tokens to draft for speculative decoding (default: %d)", params.n_draft });
+    options.push_back({ "speculative", "-ps,   --p-split N",            "speculative decoding split probability (default: %.1f)", (double)params.p_split });
+    options.push_back({ "*",           "-lcs,  --lookup-cache-static FNAME",
+                                                                        "path to static lookup cache to use for lookup decoding (not updated by generation)" });
+    options.push_back({ "*",           "-lcd,  --lookup-cache-dynamic FNAME",
+                                                                        "path to dynamic lookup cache to use for lookup decoding (updated by generation)" });
+
+    options.push_back({ "*",           "-c,    --ctx-size N",           "size of the prompt context (default: %d, 0 = loaded from model)", params.n_ctx });
+    options.push_back({ "*",           "-n,    --predict N",            "number of tokens to predict (default: %d, -1 = infinity, -2 = until context filled)", params.n_predict });
+    options.push_back({ "*",           "-b,    --batch-size N",         "logical maximum batch size (default: %d)", params.n_batch });
+    options.push_back({ "*",           "-ub,   --ubatch-size N",        "physical maximum batch size (default: %d)", params.n_ubatch });
+    options.push_back({ "*",           "       --keep N",               "number of tokens to keep from the initial prompt (default: %d, -1 = all)", params.n_keep });
+    options.push_back({ "*",           "       --chunks N",             "max number of chunks to process (default: %d, -1 = all)", params.n_chunks });
+    options.push_back({ "*",           "-fa,   --flash-attn",           "enable Flash Attention (default: %s)", params.flash_attn ? "enabled" : "disabled" });
+    options.push_back({ "*",           "-p,    --prompt PROMPT",        "prompt to start generation with (default: '%s')", params.prompt.c_str() });
+    options.push_back({ "*",           "-f,    --file FNAME",           "a file containing the prompt (default: none)" });
+    options.push_back({ "*",           "-bf,   --binary-file FNAME",    "binary file containing the prompt (default: none)" });
+    options.push_back({ "*",           "-e,    --escape",               "process escapes sequences (\\n, \\r, \\t, \\', \\\", \\\\) (default: %s)", params.escape ? "true" : "false" });
+    options.push_back({ "*",           "       --no-escape",            "do not process escape sequences" });
+    options.push_back({ "main",        "-ptc,  --print-token-count N",  "print token count every N tokens (default: %d)", params.n_print });
+    options.push_back({ "main",        "       --prompt-cache FNAME",   "file to cache prompt state for faster startup (default: none)" });
+    options.push_back({ "main",        "       --prompt-cache-all",     "if specified, saves user input and generations to cache as well\n"
+                                                                        "not supported with --interactive or other interactive options" });
+    options.push_back({ "main",        "       --prompt-cache-ro",      "if specified, uses the prompt cache but does not update it" });
+    options.push_back({ "main",        "-r,    --reverse-prompt PROMPT",
+                                                                        "halt generation at PROMPT, return control in interactive mode\n"
+                                                                        "can be specified more than once for multiple prompts" });
+    options.push_back({ "main",        "-sp,   --special",              "special tokens output enabled (default: %s)", params.special ? "true" : "false" });
+    options.push_back({ "main",        "-cnv,  --conversation",         "run in conversation mode (does not print special tokens and suffix/prefix) (default: %s)", params.conversation ? "true" : "false" });
+    options.push_back({ "main infill", "-i,    --interactive",          "run in interactive mode (default: %s)", params.interactive ? "true" : "false" });
+    options.push_back({ "main infill", "-if,   --interactive-first",    "run in interactive mode and wait for input right away (default: %s)", params.interactive_first ? "true" : "false" });
+    options.push_back({ "main infill", "-mli,  --multiline-input",      "allows you to write or paste multiple lines without ending each in '\\'" });
+    options.push_back({ "main infill", "       --in-prefix-bos",        "prefix BOS to user inputs, preceding the `--in-prefix` string" });
+    options.push_back({ "main infill", "       --in-prefix STRING",     "string to prefix user inputs with (default: empty)" });
+    options.push_back({ "main infill", "       --in-suffix STRING",     "string to suffix after user inputs with (default: empty)" });
+
+    options.push_back({ "sampling" });
+    options.push_back({ "*",           "       --samplers SAMPLERS",    "samplers that will be used for generation in the order, separated by \';\'\n"
+                                                                        "(default: %s)", sampler_type_names.c_str() });
+    options.push_back({ "*",           "       --sampling-seq SEQUENCE",
+                                                                        "simplified sequence for samplers that will be used (default: %s)", sampler_type_chars.c_str() });
+    options.push_back({ "*",           "       --ignore-eos",           "ignore end of stream token and continue generating (implies --logit-bias EOS-inf)" });
+    options.push_back({ "*",           "       --penalize-nl",          "penalize newline tokens (default: %s)", sparams.penalize_nl ? "true" : "false" });
+    options.push_back({ "*",           "       --temp N",               "temperature (default: %.1f)", (double)sparams.temp });
+    options.push_back({ "*",           "       --top-k N",              "top-k sampling (default: %d, 0 = disabled)", sparams.top_k });
+    options.push_back({ "*",           "       --top-p N",              "top-p sampling (default: %.1f, 1.0 = disabled)", (double)sparams.top_p });
+    options.push_back({ "*",           "       --min-p N",              "min-p sampling (default: %.1f, 0.0 = disabled)", (double)sparams.min_p });
+    options.push_back({ "*",           "       --tfs N",                "tail free sampling, parameter z (default: %.1f, 1.0 = disabled)", (double)sparams.tfs_z });
+    options.push_back({ "*",           "       --typical N",            "locally typical sampling, parameter p (default: %.1f, 1.0 = disabled)", (double)sparams.typical_p });
+    options.push_back({ "*",           "       --repeat-last-n N",      "last n tokens to consider for penalize (default: %d, 0 = disabled, -1 = ctx_size)", sparams.penalty_last_n });
+    options.push_back({ "*",           "       --repeat-penalty N",     "penalize repeat sequence of tokens (default: %.1f, 1.0 = disabled)", (double)sparams.penalty_repeat });
+    options.push_back({ "*",           "       --presence-penalty N",   "repeat alpha presence penalty (default: %.1f, 0.0 = disabled)", (double)sparams.penalty_present });
+    options.push_back({ "*",           "       --frequency-penalty N",  "repeat alpha frequency penalty (default: %.1f, 0.0 = disabled)", (double)sparams.penalty_freq });
+    options.push_back({ "*",           "       --dynatemp-range N",     "dynamic temperature range (default: %.1f, 0.0 = disabled)", (double)sparams.dynatemp_range });
+    options.push_back({ "*",           "       --dynatemp-exp N",       "dynamic temperature exponent (default: %.1f)", (double)sparams.dynatemp_exponent });
+    options.push_back({ "*",           "       --mirostat N",           "use Mirostat sampling.\n"
+                                                                        "Top K, Nucleus, Tail Free and Locally Typical samplers are ignored if used.\n"
+                                                                        "(default: %d, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)", sparams.mirostat });
+    options.push_back({ "*",           "       --mirostat-lr N",        "Mirostat learning rate, parameter eta (default: %.1f)", (double)sparams.mirostat_eta });
+    options.push_back({ "*",           "       --mirostat-ent N",       "Mirostat target entropy, parameter tau (default: %.1f)", (double)sparams.mirostat_tau });
+    options.push_back({ "*",           "       -l TOKEN_ID(+/-)BIAS",   "modifies the likelihood of token appearing in the completion,\n"
+                                                                        "i.e. `--logit-bias 15043+1` to increase likelihood of token ' Hello',\n"
+                                                                        "or `--logit-bias 15043-1` to decrease likelihood of token ' Hello'" });
+    options.push_back({ "main",        "       --cfg-negative-prompt PROMPT",
+                                                                        "negative prompt to use for guidance (default: '%s')", sparams.cfg_negative_prompt.c_str() });
+    options.push_back({ "main",        "       --cfg-negative-prompt-file FNAME",
+                                                                        "negative prompt file to use for guidance" });
+    options.push_back({ "main",        "       --cfg-scale N",          "strength of guidance (default: %.1f, 1.0 = disable)", (double)sparams.cfg_scale });
+
+    options.push_back({ "grammar" });
+    options.push_back({ "*",           "       --grammar GRAMMAR",      "BNF-like grammar to constrain generations (see samples in grammars/ dir) (default: '%s')", sparams.grammar.c_str() });
+    options.push_back({ "*",           "       --grammar-file FNAME",   "file to read grammar from" });
+    options.push_back({ "*",           "-j,    --json-schema SCHEMA",
+                                                                        "JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object\n"
+                                                                        "For schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead" });
+
+    options.push_back({ "embedding" });
+    options.push_back({ "embedding",   "       --pooling {none,mean,cls}",
+                                                                        "pooling type for embeddings, use model default if unspecified" });
+
+    options.push_back({ "context hacking" });
+    options.push_back({ "*",           "       --rope-scaling {none,linear,yarn}",
+                                                                        "RoPE frequency scaling method, defaults to linear unless specified by the model" });
+    options.push_back({ "*",           "       --rope-scale N",         "RoPE context scaling factor, expands context by a factor of N" });
+    options.push_back({ "*",           "       --rope-freq-base N",     "RoPE base frequency, used by NTK-aware scaling (default: loaded from model)" });
+    options.push_back({ "*",           "       --rope-freq-scale N",    "RoPE frequency scaling factor, expands context by a factor of 1/N" });
+    options.push_back({ "*",           "       --yarn-orig-ctx N",      "YaRN: original context size of model (default: %d = model training context size)", params.yarn_orig_ctx });
+    options.push_back({ "*",           "       --yarn-ext-factor N",    "YaRN: extrapolation mix factor (default: %.1f, 0.0 = full interpolation)", (double)params.yarn_ext_factor });
+    options.push_back({ "*",           "       --yarn-attn-factor N",   "YaRN: scale sqrt(t) or attention magnitude (default: %.1f)", (double)params.yarn_attn_factor });
+    options.push_back({ "*",           "       --yarn-beta-slow N",     "YaRN: high correction dim or alpha (default: %.1f)", (double)params.yarn_beta_slow });
+    options.push_back({ "*",           "       --yarn-beta-fast N",     "YaRN: low correction dim or beta (default: %.1f)", (double)params.yarn_beta_fast });
+    options.push_back({ "*",           "-gan,  --grp-attn-n N",         "group-attention factor (default: %d)", params.grp_attn_n });
+    options.push_back({ "*",           "-gaw,  --grp-attn-w N",         "group-attention width (default: %.1f)", (double)params.grp_attn_w });
+    options.push_back({ "*",           "-dkvc, --dump-kv-cache",        "verbose print of the KV cache" });
+    options.push_back({ "*",           "-nkvo, --no-kv-offload",        "disable KV offload" });
+    options.push_back({ "*",           "-ctk,  --cache-type-k TYPE",    "KV cache data type for K (default: %s)", params.cache_type_k.c_str() });
+    options.push_back({ "*",           "-ctv,  --cache-type-v TYPE",    "KV cache data type for V (default: %s)", params.cache_type_v.c_str() });
+
+    options.push_back({ "perplexity" });
+    options.push_back({ "perplexity",  "       --all-logits",           "return logits for all tokens in the batch (default: %s)", params.logits_all ? "true" : "false" });
+    options.push_back({ "perplexity",  "       --hellaswag",            "compute HellaSwag score over random tasks from datafile supplied with -f" });
+    options.push_back({ "perplexity",  "       --hellaswag-tasks N",    "number of tasks to use when computing the HellaSwag score (default: %zu)", params.hellaswag_tasks });
+    options.push_back({ "perplexity",  "       --winogrande",           "compute Winogrande score over random tasks from datafile supplied with -f" });
+    options.push_back({ "perplexity",  "       --winogrande-tasks N",   "number of tasks to use when computing the Winogrande score (default: %zu)", params.winogrande_tasks });
+    options.push_back({ "perplexity",  "       --multiple-choice",      "compute multiple choice score over random tasks from datafile supplied with -f" });
+    options.push_back({ "perplexity",  "       --multiple-choice-tasks N",
+                                                                        "number of tasks to use when computing the multiple choice score (default: %zu)", params.multiple_choice_tasks });
+    options.push_back({ "perplexity",  "       --kl-divergence",        "computes KL-divergence to logits provided via --kl-divergence-base" });
+    options.push_back({ "perplexity",  "       --ppl-stride N",         "stride for perplexity calculation (default: %d)", params.ppl_stride });
+    options.push_back({ "perplexity",  "       --ppl-output-type {0,1}",
+                                                                        "output type for perplexity calculation (default: %d)", params.ppl_output_type });
+
+    options.push_back({ "parallel" });
+    options.push_back({ "*",           "-dt,   --defrag-thold N",       "KV cache defragmentation threshold (default: %.1f, < 0 - disabled)", (double)params.defrag_thold });
+    options.push_back({ "*",           "-np,   --parallel N",           "number of parallel sequences to decode (default: %d)", params.n_parallel });
+    options.push_back({ "*",           "-ns,   --sequences N",          "number of sequences to decode (default: %d)", params.n_sequences });
+    options.push_back({ "*",           "-cb,   --cont-batching",        "enable continuous batching (a.k.a dynamic batching) (default: %s)", params.cont_batching ? "enabled" : "disabled" });
+
+    options.push_back({ "multi-modality" });
+    options.push_back({ "*",           "       --mmproj FILE",          "path to a multimodal projector file for LLaVA. see examples/llava/README.md" });
+    options.push_back({ "*",           "       --image FILE",           "path to an image file. use with multimodal models. Specify multiple times for batching" });
+
+    options.push_back({ "backend" });
+    options.push_back({ "*",           "       --rpc SERVERS",          "comma separated list of RPC servers" });
     if (llama_supports_mlock()) {
-        printf("  --mlock               force system to keep model in RAM rather than swapping or compressing\n");
+        options.push_back({ "*",           "       --mlock",                "force system to keep model in RAM rather than swapping or compressing" });
     }
     if (llama_supports_mmap()) {
-        printf("  --no-mmap             do not memory-map model (slower load but may reduce pageouts if not using mlock)\n");
+        options.push_back({ "*",           "       --no-mmap",              "do not memory-map model (slower load but may reduce pageouts if not using mlock)" });
     }
-    printf("  --numa TYPE           attempt optimizations that help on some NUMA systems\n");
-    printf("                          - distribute: spread execution evenly over all nodes\n");
-    printf("                          - isolate: only spawn threads on CPUs on the node that execution started on\n");
-    printf("                          - numactl: use the CPU map provided by numactl\n");
-    printf("                        if run without this previously, it is recommended to drop the system page cache before using this\n");
-    printf("                        see https://github.com/ggerganov/llama.cpp/issues/1437\n");
+    options.push_back({ "*",           "       --numa TYPE",            "attempt optimizations that help on some NUMA systems\n"
+                                                                        "  - distribute: spread execution evenly over all nodes\n"
+                                                                        "  - isolate: only spawn threads on CPUs on the node that execution started on\n"
+                                                                        "  - numactl: use the CPU map provided by numactl\n"
+                                                                        "if run without this previously, it is recommended to drop the system page cache before using this\n"
+                                                                        "see https://github.com/ggerganov/llama.cpp/issues/1437" });
+
     if (llama_supports_gpu_offload()) {
-        printf("  -ngl N, --n-gpu-layers N\n");
-        printf("                        number of layers to store in VRAM\n");
-        printf("  -ngld N, --n-gpu-layers-draft N\n");
-        printf("                        number of layers to store in VRAM for the draft model\n");
-        printf("  -sm SPLIT_MODE, --split-mode SPLIT_MODE\n");
-        printf("                        how to split the model across multiple GPUs, one of:\n");
-        printf("                          - none: use one GPU only\n");
-        printf("                          - layer (default): split layers and KV across GPUs\n");
-        printf("                          - row: split rows across GPUs\n");
-        printf("  -ts SPLIT, --tensor-split SPLIT\n");
-        printf("                        fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1\n");
-        printf("  -mg i, --main-gpu i   the GPU to use for the model (with split-mode = none),\n");
-        printf("                        or for intermediate results and KV (with split-mode = row) (default: %d)\n", params.main_gpu);
+        options.push_back({ "*",           "-ngl,  --gpu-layers N",
+                                                                        "number of layers to store in VRAM" });
+        options.push_back({ "*",           "-ngld, --gpu-layers-draft N",
+                                                                        "number of layers to store in VRAM for the draft model" });
+        options.push_back({ "*",           "-sm,   --split-mode SPLIT_MODE",
+                                                                        "how to split the model across multiple GPUs, one of:\n"
+                                                                        "  - none: use one GPU only\n"
+                                                                        "  - layer (default): split layers and KV across GPUs\n"
+                                                                        "  - row: split rows across GPUs" });
+        options.push_back({ "*",           "-ts,   --tensor-split SPLIT",
+                                                                        "fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1" });
+        options.push_back({ "*",           "-mg,   --main-gpu i",       "the GPU to use for the model (with split-mode = none),\n"
+                                                                        "or for intermediate results and KV (with split-mode = row) (default: %d)", params.main_gpu });
     }
-    printf("  --verbose-prompt      print a verbose prompt before generation (default: %s)\n", params.verbose_prompt ? "true" : "false");
-    printf("  --no-display-prompt   don't print prompt at generation (default: %s)\n", !params.display_prompt ? "true" : "false");
-    printf("  -gan N, --grp-attn-n N\n");
-    printf("                        group-attention factor (default: %d)\n", params.grp_attn_n);
-    printf("  -gaw N, --grp-attn-w N\n");
-    printf("                        group-attention width (default: %.1f)\n", (double)params.grp_attn_w);
-    printf("  -dkvc, --dump-kv-cache\n");
-    printf("                        verbose print of the KV cache\n");
-    printf("  -nkvo, --no-kv-offload\n");
-    printf("                        disable KV offload\n");
-    printf("  -ctk TYPE, --cache-type-k TYPE\n");
-    printf("                        KV cache data type for K (default: %s)\n", params.cache_type_k.c_str());
-    printf("  -ctv TYPE, --cache-type-v TYPE\n");
-    printf("                        KV cache data type for V (default: %s)\n", params.cache_type_v.c_str());
-    printf("  --simple-io           use basic IO for better compatibility in subprocesses and limited consoles\n");
-    printf("  --lora FNAME          apply LoRA adapter (implies --no-mmap)\n");
-    printf("  --lora-scaled FNAME S apply LoRA adapter with user defined scaling S (implies --no-mmap)\n");
-    printf("  --lora-base FNAME     optional model to use as a base for the layers modified by the LoRA adapter\n");
-    printf("  --control-vector FNAME\n");
-    printf("                        add a control vector\n");
-    printf("  --control-vector-scaled FNAME S\n");
-    printf("                        add a control vector with user defined scaling S\n");
-    printf("  --control-vector-layer-range START END\n");
-    printf("                        layer range to apply the control vector(s) to, start and end inclusive\n");
-    printf("  -m FNAME, --model FNAME\n");
-    printf("                        model path (default: models/$filename with filename from --hf-file or --model-url if set, otherwise %s)\n", DEFAULT_MODEL_PATH);
-    printf("  -md FNAME, --model-draft FNAME\n");
-    printf("                        draft model for speculative decoding (default: unused)\n");
-    printf("  -mu MODEL_URL, --model-url MODEL_URL\n");
-    printf("                        model download url (default: unused)\n");
-    printf("  -hfr REPO, --hf-repo REPO\n");
-    printf("                        Hugging Face model repository (default: unused)\n");
-    printf("  -hff FILE, --hf-file FILE\n");
-    printf("                        Hugging Face model file (default: unused)\n");
-    printf("  -ld LOGDIR, --logdir LOGDIR\n");
-    printf("                        path under which to save YAML logs (no logging if unset)\n");
-    printf("  -lcs FNAME, --lookup-cache-static FNAME\n");
-    printf("                        path to static lookup cache to use for lookup decoding (not updated by generation)\n");
-    printf("  -lcd FNAME, --lookup-cache-dynamic FNAME\n");
-    printf("                        path to dynamic lookup cache to use for lookup decoding (updated by generation)\n");
-    printf("  --override-kv KEY=TYPE:VALUE\n");
-    printf("                        advanced option to override model metadata by key. may be specified multiple times.\n");
-    printf("                        types: int, float, bool, str. example: --override-kv tokenizer.ggml.add_bos_token=bool:false\n");
-    printf("  -ptc N, --print-token-count N\n");
-    printf("                        print token count every N tokens (default: %d)\n", params.n_print);
-    printf("  --check-tensors       check model tensor data for invalid values\n");
-    printf("\n");
+
+    options.push_back({ "model" });
+    options.push_back({ "*",           "       --check-tensors",        "check model tensor data for invalid values (default: %s)", params.check_tensors ? "true" : "false" });
+    options.push_back({ "*",           "       --override-kv KEY=TYPE:VALUE",
+                                                                        "advanced option to override model metadata by key. may be specified multiple times.\n"
+                                                                        "types: int, float, bool, str. example: --override-kv tokenizer.ggml.add_bos_token=bool:false" });
+    options.push_back({ "*",           "       --lora FNAME",           "apply LoRA adapter (implies --no-mmap)" });
+    options.push_back({ "*",           "       --lora-scaled FNAME S",  "apply LoRA adapter with user defined scaling S (implies --no-mmap)" });
+    options.push_back({ "*",           "       --lora-base FNAME",      "optional model to use as a base for the layers modified by the LoRA adapter" });
+    options.push_back({ "*",           "       --control-vector FNAME", "add a control vector" });
+    options.push_back({ "*",           "       --control-vector-scaled FNAME SCALE",
+                                                                        "add a control vector with user defined scaling SCALE" });
+    options.push_back({ "*",           "       --control-vector-layer-range START END",
+                                                                        "layer range to apply the control vector(s) to, start and end inclusive" });
+    options.push_back({ "*",           "-m,    --model FNAME",          "model path (default: models/$filename with filename from --hf-file\n"
+                                                                        "or --model-url if set, otherwise %s)", DEFAULT_MODEL_PATH });
+    options.push_back({ "*",           "-md,   --model-draft FNAME",    "draft model for speculative decoding (default: unused)" });
+    options.push_back({ "*",           "-mu,   --model-url MODEL_URL",  "model download url (default: unused)" });
+    options.push_back({ "*",           "-hfr,  --hf-repo REPO",         "Hugging Face model repository (default: unused)" });
+    options.push_back({ "*",           "-hff,  --hf-file FILE",         "Hugging Face model file (default: unused)" });
+
+    options.push_back({ "retrieval" });
+    options.push_back({ "retrieval",   "       --context-file FNAME",   "file to load context from (repeat to specify multiple files)" });
+    options.push_back({ "retrieval",   "       --chunk-size N",         "minimum length of embedded text chunks (default: %d)", params.chunk_size });
+    options.push_back({ "retrieval",   "       --chunk-separator STRING",
+                                                                        "separator between chunks (default: '%s')", params.chunk_separator.c_str() });
+
+    options.push_back({ "passkey" });
+    options.push_back({ "passkey",     "       --junk N",               "number of times to repeat the junk text (default: %d)", params.n_junk });
+    options.push_back({ "passkey",     "       --pos N",                "position of the passkey in the junk text (default: %d)", params.i_pos });
+
+    options.push_back({ "bench" });
+    options.push_back({ "bench",       "-pps",                          "is the prompt shared across parallel sequences (default: %s)", params.is_pp_shared ? "true" : "false" });
+    options.push_back({ "bench",       "-npp n0,n1,...",                "number of prompt tokens" });
+    options.push_back({ "bench",       "-ntg n0,n1,...",                "number of text generation tokens" });
+    options.push_back({ "bench",       "-npl n0,n1,...",                "number of parallel prompts" });
+
+    options.push_back({ "server" });
+    options.push_back({ "server",      "       --host HOST",            "ip address to listen (default: %s)", params.hostname.c_str() });
+    options.push_back({ "server",      "       --port PORT",            "port to listen (default: %d)", params.port });
+    options.push_back({ "server",      "       --path PATH",            "path to serve static files from (default: %s)", params.public_path.c_str() });
+    options.push_back({ "server",      "       --embedding(s)",         "enable embedding endpoint (default: %s)", params.embedding ? "enabled" : "disabled" });
+    options.push_back({ "server",      "       --api-key KEY",          "API key to use for authentication (default: none)" });
+    options.push_back({ "server",      "       --api-key-file FNAME",   "path to file containing API keys (default: none)" });
+    options.push_back({ "server",      "       --ssl-key-file FNAME",   "path to file a PEM-encoded SSL private key" });
+    options.push_back({ "server",      "       --ssl-cert-file FNAME",  "path to file a PEM-encoded SSL certificate" });
+    options.push_back({ "server",      "       --timeout N",            "server read/write timeout in seconds (default: %d)", params.timeout_read });
+    options.push_back({ "server",      "       --system-prompt-file FNAME",
+                                                                        "set a file to load a system prompt (initial prompt of all slots), this is useful for chat applications" });
+    options.push_back({ "server",      "       --log-format {text,json}",
+                                                                        "log output format: json or text (default: json)" });
+    options.push_back({ "server",      "       --metrics",              "enable prometheus compatible metrics endpoint (default: %s)", params.endpoint_metrics ? "enabled" : "disabled" });
+    options.push_back({ "server",      "       --no-slots",             "disables slots monitoring endpoint (default: %s)", params.endpoint_slots ? "enabled" : "disabled" });
+    options.push_back({ "server",      "       --slot-save-path PATH",  "path to save slot kv cache (default: disabled)" });
+    options.push_back({ "server",      "       --chat-template JINJA_TEMPLATE",
+                                                                        "set custom jinja chat template (default: template taken from model's metadata)\n"
+                                                                        "only commonly used templates are accepted:\n"
+                                                                        "https://github.com/ggerganov/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template" });
+
 #ifndef LOG_DISABLE_LOGS
-    log_print_usage();
+    options.push_back({ "logging" });
+    options.push_back({ "*",           "       --simple-io",            "use basic IO for better compatibility in subprocesses and limited consoles" });
+    options.push_back({ "*",           "-ld,   --logdir LOGDIR",        "path under which to save YAML logs (no logging if unset)" });
+    options.push_back({ "logging",     "       --log-test",             "Run simple logging test" });
+    options.push_back({ "logging",     "       --log-disable",          "Disable trace logs" });
+    options.push_back({ "logging",     "       --log-enable",           "Enable trace logs" });
+    options.push_back({ "logging",     "       --log-file FNAME",       "Specify a log filename (without extension)" });
+    options.push_back({ "logging",     "       --log-new",              "Create a separate new log file on start. "
+                                                                        "Each log file will have unique name: \"<name>.<ID>.log\"" });
+    options.push_back({ "logging",     "       --log-append",           "Don't truncate the old log file." });
 #endif // LOG_DISABLE_LOGS
+
+    printf("usage: %s [options]\n", argv[0]);
+
+    for (const auto & o : options) {
+        if (!o.grp.empty()) {
+            printf("\n%s:\n\n", o.grp.c_str());
+            continue;
+        }
+        printf("  %-32s", o.args.c_str());
+        if (o.args.length() > 30) {
+            printf("\n%34s", "");
+        }
+
+        const auto desc = o.desc;
+        size_t start = 0;
+        size_t end = desc.find('\n');
+        while (end != std::string::npos) {
+            printf("%s\n%34s", desc.substr(start, end - start).c_str(), "");
+            start = end + 1;
+            end = desc.find('\n', start);
+        }
+
+        printf("%s\n", desc.substr(start).c_str());
+    }
+    printf("\n");
 }
 
-std::string get_system_info(const gpt_params & params) {
+std::string gpt_params_get_system_info(const gpt_params & params) {
     std::ostringstream os;
 
     os << "system_info: n_threads = " << params.n_threads;
@@ -1621,27 +1883,141 @@ std::string get_system_info(const gpt_params & params) {
     return os.str();
 }
 
-std::string gpt_random_prompt(std::mt19937 & rng) {
-    const int r = rng() % 10;
-    switch (r) {
-        case 0: return "So";
-        case 1: return "Once upon a time";
-        case 2: return "When";
-        case 3: return "The";
-        case 4: return "After";
-        case 5: return "If";
-        case 6: return "import";
-        case 7: return "He";
-        case 8: return "She";
-        case 9: return "They";
+//
+// String utils
+//
+
+std::vector<std::string> string_split(std::string input, char separator) {
+    std::vector<std::string> parts;
+    size_t separator_pos = input.find(separator);
+    while (separator_pos != std::string::npos) {
+        std::string part = input.substr(0, separator_pos);
+        parts.emplace_back(part);
+        input = input.substr(separator_pos + 1);
+        separator_pos = input.find(separator);
+    }
+    parts.emplace_back(input);
+    return parts;
+}
+
+std::string string_strip(const std::string & str) {
+    size_t start = 0;
+    size_t end = str.size();
+    while (start < end && std::isspace(str[start])) {
+        start++;
+    }
+    while (end > start && std::isspace(str[end - 1])) {
+        end--;
+    }
+    return str.substr(start, end - start);
+}
+
+std::string string_get_sortable_timestamp() {
+    using clock = std::chrono::system_clock;
+
+    const clock::time_point current_time = clock::now();
+    const time_t as_time_t = clock::to_time_t(current_time);
+    char timestamp_no_ns[100];
+    std::strftime(timestamp_no_ns, 100, "%Y_%m_%d-%H_%M_%S", std::localtime(&as_time_t));
+
+    const int64_t ns = std::chrono::duration_cast<std::chrono::nanoseconds>(
+        current_time.time_since_epoch() % 1000000000).count();
+    char timestamp_ns[11];
+    snprintf(timestamp_ns, 11, "%09" PRId64, ns);
+
+    return std::string(timestamp_no_ns) + "." + std::string(timestamp_ns);
+}
+
+void string_process_escapes(std::string & input) {
+    std::size_t input_len = input.length();
+    std::size_t output_idx = 0;
+
+    for (std::size_t input_idx = 0; input_idx < input_len; ++input_idx) {
+        if (input[input_idx] == '\\' && input_idx + 1 < input_len) {
+            switch (input[++input_idx]) {
+                case 'n':  input[output_idx++] = '\n'; break;
+                case 'r':  input[output_idx++] = '\r'; break;
+                case 't':  input[output_idx++] = '\t'; break;
+                case '\'': input[output_idx++] = '\''; break;
+                case '\"': input[output_idx++] = '\"'; break;
+                case '\\': input[output_idx++] = '\\'; break;
+                case 'x':
+                    // Handle \x12, etc
+                    if (input_idx + 2 < input_len) {
+                        const char x[3] = { input[input_idx + 1], input[input_idx + 2], 0 };
+                        char *err_p = nullptr;
+                        const long val = std::strtol(x, &err_p, 16);
+                        if (err_p == x + 2) {
+                            input_idx += 2;
+                            input[output_idx++] = char(val);
+                            break;
+                        }
+                    }
+                    // fall through
+                default:   input[output_idx++] = '\\';
+                           input[output_idx++] = input[input_idx]; break;
+            }
+        } else {
+            input[output_idx++] = input[input_idx];
+        }
     }
 
-    GGML_UNREACHABLE();
+    input.resize(output_idx);
 }
 
+bool string_parse_kv_override(const char * data, std::vector<llama_model_kv_override> & overrides) {
+    const char * sep = strchr(data, '=');
+    if (sep == nullptr || sep - data >= 128) {
+        fprintf(stderr, "%s: malformed KV override '%s'\n", __func__, data);
+        return false;
+    }
+    llama_model_kv_override kvo;
+    std::strncpy(kvo.key, data, sep - data);
+    kvo.key[sep - data] = 0;
+    sep++;
+    if (strncmp(sep, "int:", 4) == 0) {
+        sep += 4;
+        kvo.tag = LLAMA_KV_OVERRIDE_TYPE_INT;
+        kvo.val_i64 = std::atol(sep);
+    } else if (strncmp(sep, "float:", 6) == 0) {
+        sep += 6;
+        kvo.tag = LLAMA_KV_OVERRIDE_TYPE_FLOAT;
+        kvo.val_f64 = std::atof(sep);
+    } else if (strncmp(sep, "bool:", 5) == 0) {
+        sep += 5;
+        kvo.tag = LLAMA_KV_OVERRIDE_TYPE_BOOL;
+        if (std::strcmp(sep, "true") == 0) {
+            kvo.val_bool = true;
+        } else if (std::strcmp(sep, "false") == 0) {
+            kvo.val_bool = false;
+        } else {
+            fprintf(stderr, "%s: invalid boolean value for KV override '%s'\n", __func__, data);
+            return false;
+        }
+    } else if (strncmp(sep, "str:", 4) == 0) {
+        sep += 4;
+        kvo.tag = LLAMA_KV_OVERRIDE_TYPE_STR;
+        if (strlen(sep) > 127) {
+            fprintf(stderr, "%s: malformed KV override '%s', value cannot exceed 127 chars\n", __func__, data);
+            return false;
+        }
+        strncpy(kvo.val_str, sep, 127);
+        kvo.val_str[127] = '\0';
+    } else {
+        fprintf(stderr, "%s: invalid type for KV override '%s'\n", __func__, data);
+        return false;
+    }
+    overrides.emplace_back(std::move(kvo));
+    return true;
+}
+
+//
+// Filesystem utils
+//
+
 // Validate if a filename is safe to use
 // To validate a full path, split the path by the OS-specific path separator, and validate each part with this function
-bool validate_file_name(const std::string & filename) {
+bool fs_validate_filename(const std::string & filename) {
     if (!filename.length()) {
         // Empty filename invalid
         return false;
@@ -1710,126 +2086,205 @@ bool validate_file_name(const std::string & filename) {
     return true;
 }
 
-//
-// String utils
-//
+// returns true if successful, false otherwise
+bool fs_create_directory_with_parents(const std::string & path) {
+#ifdef _WIN32
+    std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
+    std::wstring wpath = converter.from_bytes(path);
 
-std::vector<std::string> string_split(std::string input, char separator) {
-    std::vector<std::string> parts;
-    size_t separator_pos = input.find(separator);
-    while (separator_pos != std::string::npos) {
-        std::string part = input.substr(0, separator_pos);
-        parts.emplace_back(part);
-        input = input.substr(separator_pos + 1);
-        separator_pos = input.find(separator);
+    // if the path already exists, check whether it's a directory
+    const DWORD attributes = GetFileAttributesW(wpath.c_str());
+    if ((attributes != INVALID_FILE_ATTRIBUTES) && (attributes & FILE_ATTRIBUTE_DIRECTORY)) {
+        return true;
     }
-    parts.emplace_back(input);
-    return parts;
-}
 
-std::string string_strip(const std::string & str) {
-    size_t start = 0;
-    size_t end = str.size();
-    while (start < end && std::isspace(str[start])) {
-        start++;
-    }
-    while (end > start && std::isspace(str[end - 1])) {
-        end--;
-    }
-    return str.substr(start, end - start);
-}
+    size_t pos_slash = 0;
 
-std::vector<llama_sampler_type> sampler_types_from_names(const std::vector<std::string> & names, bool allow_alt_names) {
-    std::unordered_map<std::string, llama_sampler_type> sampler_canonical_name_map {
-        {"top_k",       llama_sampler_type::TOP_K},
-        {"top_p",       llama_sampler_type::TOP_P},
-        {"typical_p",   llama_sampler_type::TYPICAL_P},
-        {"min_p",       llama_sampler_type::MIN_P},
-        {"tfs_z",       llama_sampler_type::TFS_Z},
-        {"temperature", llama_sampler_type::TEMPERATURE}
-    };
+    // process path from front to back, procedurally creating directories
+    while ((pos_slash = path.find('\\', pos_slash)) != std::string::npos) {
+        const std::wstring subpath = wpath.substr(0, pos_slash);
+        const wchar_t * test = subpath.c_str();
 
-    // since samplers names are written multiple ways
-    // make it ready for both system names and input names
-    std::unordered_map<std::string, llama_sampler_type> sampler_alt_name_map {
-        {"top-k",       llama_sampler_type::TOP_K},
-        {"top-p",       llama_sampler_type::TOP_P},
-        {"nucleus",     llama_sampler_type::TOP_P},
-        {"typical-p",   llama_sampler_type::TYPICAL_P},
-        {"typical",     llama_sampler_type::TYPICAL_P},
-        {"min-p",       llama_sampler_type::MIN_P},
-        {"tfs-z",       llama_sampler_type::TFS_Z},
-        {"tfs",         llama_sampler_type::TFS_Z},
-        {"temp",        llama_sampler_type::TEMPERATURE}
-    };
+        const bool success = CreateDirectoryW(test, NULL);
+        if (!success) {
+            const DWORD error = GetLastError();
 
-    std::vector<llama_sampler_type> sampler_types;
-    sampler_types.reserve(names.size());
-    for (const auto & name : names)
-    {
-        auto sampler_item = sampler_canonical_name_map.find(name);
-        if (sampler_item != sampler_canonical_name_map.end())
-        {
-            sampler_types.push_back(sampler_item->second);
-        }
-        else
-        {
-            if (allow_alt_names)
-            {
-                sampler_item = sampler_alt_name_map.find(name);
-                if (sampler_item != sampler_alt_name_map.end())
-                {
-                    sampler_types.push_back(sampler_item->second);
+            // if the path already exists, ensure that it's a directory
+            if (error == ERROR_ALREADY_EXISTS) {
+                const DWORD attributes = GetFileAttributesW(subpath.c_str());
+                if (attributes == INVALID_FILE_ATTRIBUTES || !(attributes & FILE_ATTRIBUTE_DIRECTORY)) {
+                    return false;
                 }
+            } else {
+                return false;
             }
         }
+
+        pos_slash += 1;
     }
-    return sampler_types;
-}
 
-std::vector<llama_sampler_type> sampler_types_from_chars(const std::string & names_string) {
-    std::unordered_map<char, llama_sampler_type> sampler_name_map {
-        {'k', llama_sampler_type::TOP_K},
-        {'p', llama_sampler_type::TOP_P},
-        {'y', llama_sampler_type::TYPICAL_P},
-        {'m', llama_sampler_type::MIN_P},
-        {'f', llama_sampler_type::TFS_Z},
-        {'t', llama_sampler_type::TEMPERATURE}
-    };
+    return true;
+#else
+    // if the path already exists, check whether it's a directory
+    struct stat info;
+    if (stat(path.c_str(), &info) == 0) {
+        return S_ISDIR(info.st_mode);
+    }
 
-    std::vector<llama_sampler_type> sampler_types;
-    sampler_types.reserve(names_string.size());
-    for (const auto & c : names_string) {
-        const auto sampler_item = sampler_name_map.find(c);
-        if (sampler_item != sampler_name_map.end()) {
-            sampler_types.push_back(sampler_item->second);
+    size_t pos_slash = 1; // skip leading slashes for directory creation
+
+    // process path from front to back, procedurally creating directories
+    while ((pos_slash = path.find('/', pos_slash)) != std::string::npos) {
+        const std::string subpath = path.substr(0, pos_slash);
+        struct stat info;
+
+        // if the path already exists, ensure that it's a directory
+        if (stat(subpath.c_str(), &info) == 0) {
+            if (!S_ISDIR(info.st_mode)) {
+                return false;
+            }
+        } else {
+            // create parent directories
+            const int ret = mkdir(subpath.c_str(), 0755);
+            if (ret != 0) {
+                return false;
+            }
         }
+
+        pos_slash += 1;
     }
-    return sampler_types;
+
+    return true;
+#endif // _WIN32
 }
 
-std::string sampler_type_to_name_string(llama_sampler_type sampler_type) {
-    switch (sampler_type) {
-        case llama_sampler_type::TOP_K:       return "top_k";
-        case llama_sampler_type::TFS_Z:       return "tfs_z";
-        case llama_sampler_type::TYPICAL_P:   return "typical_p";
-        case llama_sampler_type::TOP_P:       return "top_p";
-        case llama_sampler_type::MIN_P:       return "min_p";
-        case llama_sampler_type::TEMPERATURE: return "temperature";
-        default : return "";
+std::string fs_get_cache_directory() {
+    std::string cache_directory = "";
+    auto ensure_trailing_slash = [](std::string p) {
+        // Make sure to add trailing slash
+        if (p.back() != DIRECTORY_SEPARATOR) {
+            p += DIRECTORY_SEPARATOR;
+        }
+        return p;
+    };
+    if (getenv("LLAMA_CACHE")) {
+        cache_directory = std::getenv("LLAMA_CACHE");
+    } else {
+#ifdef __linux__
+        if (std::getenv("XDG_CACHE_HOME")) {
+            cache_directory = std::getenv("XDG_CACHE_HOME");
+        } else {
+            cache_directory = std::getenv("HOME") + std::string("/.cache/");
+        }
+#elif defined(__APPLE__)
+        cache_directory = std::getenv("HOME") + std::string("/Library/Caches/");
+#elif defined(_WIN32)
+        cache_directory = std::getenv("LOCALAPPDATA");
+#endif // __linux__
+        cache_directory = ensure_trailing_slash(cache_directory);
+        cache_directory += "llama.cpp";
     }
+    return ensure_trailing_slash(cache_directory);
 }
 
+
 //
 // Model utils
 //
 
+std::tuple<struct llama_model *, struct llama_context *> llama_init_from_gpt_params(gpt_params & params) {
+    auto mparams = llama_model_params_from_gpt_params(params);
+
+    llama_model * model = nullptr;
+
+    if (!params.hf_repo.empty() && !params.hf_file.empty()) {
+        model = llama_load_model_from_hf(params.hf_repo.c_str(), params.hf_file.c_str(), params.model.c_str(), mparams);
+    } else if (!params.model_url.empty()) {
+        model = llama_load_model_from_url(params.model_url.c_str(), params.model.c_str(), mparams);
+    } else {
+        model = llama_load_model_from_file(params.model.c_str(), mparams);
+    }
+
+    if (model == NULL) {
+        fprintf(stderr, "%s: error: failed to load model '%s'\n", __func__, params.model.c_str());
+        return std::make_tuple(nullptr, nullptr);
+    }
+
+    auto cparams = llama_context_params_from_gpt_params(params);
+
+    llama_context * lctx = llama_new_context_with_model(model, cparams);
+    if (lctx == NULL) {
+        fprintf(stderr, "%s: error: failed to create context with model '%s'\n", __func__, params.model.c_str());
+        llama_free_model(model);
+        return std::make_tuple(nullptr, nullptr);
+    }
+
+    if (!params.control_vectors.empty()) {
+        if (params.control_vector_layer_start <= 0) params.control_vector_layer_start = 1;
+        if (params.control_vector_layer_end   <= 0) params.control_vector_layer_end   = llama_n_layer(model);
+
+        const auto cvec = llama_control_vector_load(params.control_vectors);
+        if (cvec.n_embd == -1) {
+            llama_free(lctx);
+            llama_free_model(model);
+            return std::make_tuple(nullptr, nullptr);
+        }
+
+        int err = llama_control_vector_apply(lctx,
+                                             cvec.data.data(),
+                                             cvec.data.size(),
+                                             cvec.n_embd,
+                                             params.control_vector_layer_start,
+                                             params.control_vector_layer_end);
+        if (err) {
+            llama_free(lctx);
+            llama_free_model(model);
+            return std::make_tuple(nullptr, nullptr);
+        }
+    }
+
+    for (unsigned int i = 0; i < params.lora_adapter.size(); ++i) {
+        const std::string & lora_adapter = std::get<0>(params.lora_adapter[i]);
+        float lora_scale = std::get<1>(params.lora_adapter[i]);
+        int err = llama_model_apply_lora_from_file(model,
+                                             lora_adapter.c_str(),
+                                             lora_scale,
+                                             ((i > 0) || params.lora_base.empty())
+                                                ? NULL
+                                                : params.lora_base.c_str(),
+                                             params.n_threads);
+        if (err != 0) {
+            fprintf(stderr, "%s: error: failed to apply lora adapter\n", __func__);
+            llama_free(lctx);
+            llama_free_model(model);
+            return std::make_tuple(nullptr, nullptr);
+        }
+    }
+
+    if (params.ignore_eos) {
+        params.sparams.logit_bias[llama_token_eos(model)] = -INFINITY;
+    }
+
+    if (params.warmup) {
+        LOG("warming up the model with an empty run\n");
+
+        std::vector<llama_token> tmp = { llama_token_bos(model), llama_token_eos(model), };
+        llama_decode(lctx, llama_batch_get_one(tmp.data(), std::min(tmp.size(), (size_t) params.n_batch), 0, 0));
+        llama_kv_cache_clear(lctx);
+        llama_synchronize(lctx);
+        llama_reset_timings(lctx);
+    }
+
+    return std::make_tuple(model, lctx);
+}
+
 struct llama_model_params llama_model_params_from_gpt_params(const gpt_params & params) {
     auto mparams = llama_model_default_params();
 
     if (params.n_gpu_layers != -1) {
         mparams.n_gpu_layers = params.n_gpu_layers;
     }
+    mparams.rpc_servers     = params.rpc_servers.c_str();
     mparams.main_gpu        = params.main_gpu;
     mparams.split_mode      = params.split_mode;
     mparams.tensor_split    = params.tensor_split;
@@ -1908,27 +2363,6 @@ struct llama_context_params llama_context_params_from_gpt_params(const gpt_param
     return cparams;
 }
 
-void llama_batch_clear(struct llama_batch & batch) {
-    batch.n_tokens = 0;
-}
-
-void llama_batch_add(
-                 struct llama_batch & batch,
-                        llama_token   id,
-                          llama_pos   pos,
-    const std::vector<llama_seq_id> & seq_ids,
-                               bool   logits) {
-    batch.token   [batch.n_tokens] = id;
-    batch.pos     [batch.n_tokens] = pos;
-    batch.n_seq_id[batch.n_tokens] = seq_ids.size();
-    for (size_t i = 0; i < seq_ids.size(); ++i) {
-        batch.seq_id[batch.n_tokens][i] = seq_ids[i];
-    }
-    batch.logits  [batch.n_tokens] = logits;
-
-    batch.n_tokens++;
-}
-
 #ifdef LLAMA_USE_CURL
 
 static bool starts_with(const std::string & str, const std::string & prefix) {
@@ -2259,90 +2693,29 @@ struct llama_model * llama_load_model_from_hf(
 
 #endif // LLAMA_USE_CURL
 
-std::tuple<struct llama_model *, struct llama_context *> llama_init_from_gpt_params(gpt_params & params) {
-    auto mparams = llama_model_params_from_gpt_params(params);
+//
+// Batch utils
+//
 
-    llama_model * model = nullptr;
+void llama_batch_clear(struct llama_batch & batch) {
+    batch.n_tokens = 0;
+}
 
-    if (!params.hf_repo.empty() && !params.hf_file.empty()) {
-        model = llama_load_model_from_hf(params.hf_repo.c_str(), params.hf_file.c_str(), params.model.c_str(), mparams);
-    } else if (!params.model_url.empty()) {
-        model = llama_load_model_from_url(params.model_url.c_str(), params.model.c_str(), mparams);
-    } else {
-        model = llama_load_model_from_file(params.model.c_str(), mparams);
+void llama_batch_add(
+                 struct llama_batch & batch,
+                        llama_token   id,
+                          llama_pos   pos,
+    const std::vector<llama_seq_id> & seq_ids,
+                               bool   logits) {
+    batch.token   [batch.n_tokens] = id;
+    batch.pos     [batch.n_tokens] = pos;
+    batch.n_seq_id[batch.n_tokens] = seq_ids.size();
+    for (size_t i = 0; i < seq_ids.size(); ++i) {
+        batch.seq_id[batch.n_tokens][i] = seq_ids[i];
     }
+    batch.logits  [batch.n_tokens] = logits;
 
-    if (model == NULL) {
-        fprintf(stderr, "%s: error: failed to load model '%s'\n", __func__, params.model.c_str());
-        return std::make_tuple(nullptr, nullptr);
-    }
-
-    auto cparams = llama_context_params_from_gpt_params(params);
-
-    llama_context * lctx = llama_new_context_with_model(model, cparams);
-    if (lctx == NULL) {
-        fprintf(stderr, "%s: error: failed to create context with model '%s'\n", __func__, params.model.c_str());
-        llama_free_model(model);
-        return std::make_tuple(nullptr, nullptr);
-    }
-
-    if (!params.control_vectors.empty()) {
-        if (params.control_vector_layer_start <= 0) params.control_vector_layer_start = 1;
-        if (params.control_vector_layer_end   <= 0) params.control_vector_layer_end   = llama_n_layer(model);
-
-        const auto cvec = llama_control_vector_load(params.control_vectors);
-        if (cvec.n_embd == -1) {
-            llama_free(lctx);
-            llama_free_model(model);
-            return std::make_tuple(nullptr, nullptr);
-        }
-
-        int err = llama_control_vector_apply(lctx,
-                                             cvec.data.data(),
-                                             cvec.data.size(),
-                                             cvec.n_embd,
-                                             params.control_vector_layer_start,
-                                             params.control_vector_layer_end);
-        if (err) {
-            llama_free(lctx);
-            llama_free_model(model);
-            return std::make_tuple(nullptr, nullptr);
-        }
-    }
-
-    for (unsigned int i = 0; i < params.lora_adapter.size(); ++i) {
-        const std::string & lora_adapter = std::get<0>(params.lora_adapter[i]);
-        float lora_scale = std::get<1>(params.lora_adapter[i]);
-        int err = llama_model_apply_lora_from_file(model,
-                                             lora_adapter.c_str(),
-                                             lora_scale,
-                                             ((i > 0) || params.lora_base.empty())
-                                                ? NULL
-                                                : params.lora_base.c_str(),
-                                             params.n_threads);
-        if (err != 0) {
-            fprintf(stderr, "%s: error: failed to apply lora adapter\n", __func__);
-            llama_free(lctx);
-            llama_free_model(model);
-            return std::make_tuple(nullptr, nullptr);
-        }
-    }
-
-    if (params.ignore_eos) {
-        params.sparams.logit_bias[llama_token_eos(model)] = -INFINITY;
-    }
-
-    if (params.warmup) {
-        LOG("warming up the model with an empty run\n");
-
-        std::vector<llama_token> tmp = { llama_token_bos(model), llama_token_eos(model), };
-        llama_decode(lctx, llama_batch_get_one(tmp.data(), std::min(tmp.size(), (size_t) params.n_batch), 0, 0));
-        llama_kv_cache_clear(lctx);
-        llama_synchronize(lctx);
-        llama_reset_timings(lctx);
-    }
-
-    return std::make_tuple(model, lctx);
+    batch.n_tokens++;
 }
 
 //
@@ -2430,321 +2803,17 @@ bool llama_should_add_bos_token(const llama_model * model) {
     return add_bos != -1 ? bool(add_bos) : (llama_vocab_type(model) == LLAMA_VOCAB_TYPE_SPM);
 }
 
-//
-// YAML utils
-//
-
-// returns true if successful, false otherwise
-bool create_directory_with_parents(const std::string & path) {
-#ifdef _WIN32
-    std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
-    std::wstring wpath = converter.from_bytes(path);
-
-    // if the path already exists, check whether it's a directory
-    const DWORD attributes = GetFileAttributesW(wpath.c_str());
-    if ((attributes != INVALID_FILE_ATTRIBUTES) && (attributes & FILE_ATTRIBUTE_DIRECTORY)) {
-        return true;
-    }
-
-    size_t pos_slash = 0;
-
-    // process path from front to back, procedurally creating directories
-    while ((pos_slash = path.find('\\', pos_slash)) != std::string::npos) {
-        const std::wstring subpath = wpath.substr(0, pos_slash);
-        const wchar_t * test = subpath.c_str();
-
-        const bool success = CreateDirectoryW(test, NULL);
-        if (!success) {
-            const DWORD error = GetLastError();
-
-            // if the path already exists, ensure that it's a directory
-            if (error == ERROR_ALREADY_EXISTS) {
-                const DWORD attributes = GetFileAttributesW(subpath.c_str());
-                if (attributes == INVALID_FILE_ATTRIBUTES || !(attributes & FILE_ATTRIBUTE_DIRECTORY)) {
-                    return false;
-                }
-            } else {
-                return false;
-            }
-        }
-
-        pos_slash += 1;
-    }
-
-    return true;
-#else
-    // if the path already exists, check whether it's a directory
-    struct stat info;
-    if (stat(path.c_str(), &info) == 0) {
-        return S_ISDIR(info.st_mode);
-    }
-
-    size_t pos_slash = 1; // skip leading slashes for directory creation
-
-    // process path from front to back, procedurally creating directories
-    while ((pos_slash = path.find('/', pos_slash)) != std::string::npos) {
-        const std::string subpath = path.substr(0, pos_slash);
-        struct stat info;
-
-        // if the path already exists, ensure that it's a directory
-        if (stat(subpath.c_str(), &info) == 0) {
-            if (!S_ISDIR(info.st_mode)) {
-                return false;
-            }
-        } else {
-            // create parent directories
-            const int ret = mkdir(subpath.c_str(), 0755);
-            if (ret != 0) {
-                return false;
-            }
-        }
-
-        pos_slash += 1;
-    }
-
-    return true;
-#endif // _WIN32
-}
-
-void dump_vector_float_yaml(FILE * stream, const char * prop_name, const std::vector<float> & data) {
-    if (data.empty()) {
-        fprintf(stream, "%s:\n", prop_name);
-        return;
-    }
-
-    fprintf(stream, "%s: [", prop_name);
-    for (size_t i = 0; i < data.size() - 1; ++i) {
-        fprintf(stream, "%e, ", data[i]);
-    }
-    fprintf(stream, "%e]\n", data.back());
-}
-
-void dump_vector_int_yaml(FILE * stream, const char * prop_name, const std::vector<int> & data) {
-    if (data.empty()) {
-        fprintf(stream, "%s:\n", prop_name);
-        return;
-    }
-
-    fprintf(stream, "%s: [", prop_name);
-    for (size_t i = 0; i < data.size() - 1; ++i) {
-        fprintf(stream, "%d, ", data[i]);
-    }
-    fprintf(stream, "%d]\n", data.back());
-}
-
-void dump_string_yaml_multiline(FILE * stream, const char * prop_name, const char * data) {
-    std::string data_str(data == NULL ? "" : data);
-
-    if (data_str.empty()) {
-        fprintf(stream, "%s:\n", prop_name);
-        return;
-    }
-
-    size_t pos_start = 0;
-    size_t pos_found = 0;
-
-    if (!data_str.empty() && (std::isspace(data_str[0]) || std::isspace(data_str.back()))) {
-        data_str = std::regex_replace(data_str, std::regex("\n"), "\\n");
-        data_str = std::regex_replace(data_str, std::regex("\""), "\\\"");
-        data_str = std::regex_replace(data_str, std::regex(R"(\\[^n"])"), R"(\$&)");
-        data_str = "\"" + data_str + "\"";
-        fprintf(stream, "%s: %s\n", prop_name, data_str.c_str());
-        return;
-    }
-
-    if (data_str.find('\n') == std::string::npos) {
-        fprintf(stream, "%s: %s\n", prop_name, data_str.c_str());
-        return;
-    }
-
-    fprintf(stream, "%s: |\n", prop_name);
-    while ((pos_found = data_str.find('\n', pos_start)) != std::string::npos) {
-        fprintf(stream, "  %s\n", data_str.substr(pos_start, pos_found-pos_start).c_str());
-        pos_start = pos_found + 1;
-    }
-}
-
-std::string get_sortable_timestamp() {
-    using clock = std::chrono::system_clock;
-
-    const clock::time_point current_time = clock::now();
-    const time_t as_time_t = clock::to_time_t(current_time);
-    char timestamp_no_ns[100];
-    std::strftime(timestamp_no_ns, 100, "%Y_%m_%d-%H_%M_%S", std::localtime(&as_time_t));
-
-    const int64_t ns = std::chrono::duration_cast<std::chrono::nanoseconds>(
-        current_time.time_since_epoch() % 1000000000).count();
-    char timestamp_ns[11];
-    snprintf(timestamp_ns, 11, "%09" PRId64, ns);
-
-    return std::string(timestamp_no_ns) + "." + std::string(timestamp_ns);
-}
-
-void dump_non_result_info_yaml(FILE * stream, const gpt_params & params, const llama_context * lctx,
-                               const std::string & timestamp, const std::vector<int> & prompt_tokens, const char * model_desc) {
-    const llama_sampling_params & sparams = params.sparams;
-
-    fprintf(stream, "build_commit: %s\n",        LLAMA_COMMIT);
-    fprintf(stream, "build_number: %d\n",        LLAMA_BUILD_NUMBER);
-    fprintf(stream, "cpu_has_arm_fma: %s\n",     ggml_cpu_has_arm_fma()     ? "true" : "false");
-    fprintf(stream, "cpu_has_avx: %s\n",         ggml_cpu_has_avx()         ? "true" : "false");
-    fprintf(stream, "cpu_has_avx_vnni: %s\n",    ggml_cpu_has_avx_vnni()    ? "true" : "false");
-    fprintf(stream, "cpu_has_avx2: %s\n",        ggml_cpu_has_avx2()        ? "true" : "false");
-    fprintf(stream, "cpu_has_avx512: %s\n",      ggml_cpu_has_avx512()      ? "true" : "false");
-    fprintf(stream, "cpu_has_avx512_vbmi: %s\n", ggml_cpu_has_avx512_vbmi() ? "true" : "false");
-    fprintf(stream, "cpu_has_avx512_vnni: %s\n", ggml_cpu_has_avx512_vnni() ? "true" : "false");
-    fprintf(stream, "cpu_has_cuda: %s\n",        ggml_cpu_has_cuda()        ? "true" : "false");
-    fprintf(stream, "cpu_has_vulkan: %s\n",      ggml_cpu_has_vulkan()      ? "true" : "false");
-    fprintf(stream, "cpu_has_clblast: %s\n",     ggml_cpu_has_clblast()     ? "true" : "false");
-    fprintf(stream, "cpu_has_kompute: %s\n",     ggml_cpu_has_kompute()     ? "true" : "false");
-    fprintf(stream, "cpu_has_fma: %s\n",         ggml_cpu_has_fma()         ? "true" : "false");
-    fprintf(stream, "cpu_has_gpublas: %s\n",     ggml_cpu_has_gpublas()     ? "true" : "false");
-    fprintf(stream, "cpu_has_neon: %s\n",        ggml_cpu_has_neon()        ? "true" : "false");
-    fprintf(stream, "cpu_has_f16c: %s\n",        ggml_cpu_has_f16c()        ? "true" : "false");
-    fprintf(stream, "cpu_has_fp16_va: %s\n",     ggml_cpu_has_fp16_va()     ? "true" : "false");
-    fprintf(stream, "cpu_has_wasm_simd: %s\n",   ggml_cpu_has_wasm_simd()   ? "true" : "false");
-    fprintf(stream, "cpu_has_blas: %s\n",        ggml_cpu_has_blas()        ? "true" : "false");
-    fprintf(stream, "cpu_has_sse3: %s\n",        ggml_cpu_has_sse3()        ? "true" : "false");
-    fprintf(stream, "cpu_has_vsx: %s\n",         ggml_cpu_has_vsx()         ? "true" : "false");
-    fprintf(stream, "cpu_has_matmul_int8: %s\n", ggml_cpu_has_matmul_int8() ? "true" : "false");
-
-#ifdef NDEBUG
-    fprintf(stream, "debug: false\n");
-#else
-    fprintf(stream, "debug: true\n");
-#endif // NDEBUG
-
-    fprintf(stream, "model_desc: %s\n", model_desc);
-    fprintf(stream, "n_vocab: %d  # output size of the final layer, 32001 for some models\n", llama_n_vocab(llama_get_model(lctx)));
-
-#ifdef __OPTIMIZE__
-    fprintf(stream, "optimize: true\n");
-#else
-    fprintf(stream, "optimize: false\n");
-#endif // __OPTIMIZE__
-
-    fprintf(stream, "time: %s\n", timestamp.c_str());
-
-    fprintf(stream, "\n");
-    fprintf(stream, "###############\n");
-    fprintf(stream, "# User Inputs #\n");
-    fprintf(stream, "###############\n");
-    fprintf(stream, "\n");
-
-    fprintf(stream, "alias: %s # default: unknown\n", params.model_alias.c_str());
-    fprintf(stream, "batch_size: %d # default: 512\n", params.n_batch);
-    dump_string_yaml_multiline(stream, "cfg_negative_prompt", sparams.cfg_negative_prompt.c_str());
-    fprintf(stream, "cfg_scale: %f # default: 1.0\n", sparams.cfg_scale);
-    fprintf(stream, "chunks: %d # default: -1 (unlimited)\n", params.n_chunks);
-    fprintf(stream, "color: %s # default: false\n", params.use_color ? "true" : "false");
-    fprintf(stream, "ctx_size: %d # default: 512\n", params.n_ctx);
-    fprintf(stream, "escape: %s # default: false\n", params.escape ? "true" : "false");
-    fprintf(stream, "file: # never logged, see prompt instead. Can still be specified for input.\n");
-    fprintf(stream, "frequency_penalty: %f # default: 0.0 \n", sparams.penalty_freq);
-    dump_string_yaml_multiline(stream, "grammar", sparams.grammar.c_str());
-    fprintf(stream, "grammar-file: # never logged, see grammar instead. Can still be specified for input.\n");
-    fprintf(stream, "hellaswag: %s # default: false\n", params.hellaswag ? "true" : "false");
-    fprintf(stream, "hellaswag_tasks: %zu # default: 400\n", params.hellaswag_tasks);
-
-    const auto logit_bias_eos = sparams.logit_bias.find(llama_token_eos(llama_get_model(lctx)));
-    const bool ignore_eos = logit_bias_eos != sparams.logit_bias.end() && logit_bias_eos->second == -INFINITY;
-    fprintf(stream, "ignore_eos: %s # default: false\n", ignore_eos ? "true" : "false");
-
-    dump_string_yaml_multiline(stream, "in_prefix", params.input_prefix.c_str());
-    fprintf(stream, "in_prefix_bos: %s # default: false\n", params.input_prefix_bos ? "true" : "false");
-    dump_string_yaml_multiline(stream, "in_suffix", params.input_prefix.c_str());
-    fprintf(stream, "instruct: %s # default: false\n", params.instruct ? "true" : "false");
-    fprintf(stream, "interactive: %s # default: false\n", params.interactive ? "true" : "false");
-    fprintf(stream, "interactive_specials: %s # default: false\n", params.interactive_specials ? "true" : "false");
-    fprintf(stream, "interactive_first: %s # default: false\n", params.interactive_first ? "true" : "false");
-    fprintf(stream, "keep: %d # default: 0\n", params.n_keep);
-    fprintf(stream, "logdir: %s # default: unset (no logging)\n", params.logdir.c_str());
-
-    fprintf(stream, "logit_bias:\n");
-    for (std::pair<llama_token, float> lb : sparams.logit_bias) {
-        if (ignore_eos && lb.first == logit_bias_eos->first) {
-            continue;
-        }
-        fprintf(stream, "  %d: %f", lb.first, lb.second);
-    }
-
-    fprintf(stream, "lora:\n");
-    for (std::tuple<std::string, float> la : params.lora_adapter) {
-        if (std::get<1>(la) != 1.0f) {
-            continue;
-        }
-        fprintf(stream, "  - %s\n", std::get<0>(la).c_str());
-    }
-    fprintf(stream, "lora_scaled:\n");
-    for (std::tuple<std::string, float> la : params.lora_adapter) {
-        if (std::get<1>(la) == 1.0f) {
-            continue;
-        }
-        fprintf(stream, "  - %s: %f\n", std::get<0>(la).c_str(), std::get<1>(la));
-    }
-    fprintf(stream, "lora_base: %s\n", params.lora_base.c_str());
-    fprintf(stream, "main_gpu: %d # default: 0\n", params.main_gpu);
-    fprintf(stream, "min_keep: %d # default: 0 (disabled)\n", sparams.min_keep);
-    fprintf(stream, "mirostat: %d # default: 0 (disabled)\n", sparams.mirostat);
-    fprintf(stream, "mirostat_ent: %f # default: 5.0\n", sparams.mirostat_tau);
-    fprintf(stream, "mirostat_lr: %f # default: 0.1\n", sparams.mirostat_eta);
-    fprintf(stream, "mlock: %s # default: false\n", params.use_mlock ? "true" : "false");
-    fprintf(stream, "model: %s # default: %s\n", params.model.c_str(), DEFAULT_MODEL_PATH);
-    fprintf(stream, "model_draft: %s # default:\n", params.model_draft.c_str());
-    fprintf(stream, "multiline_input: %s # default: false\n", params.multiline_input ? "true" : "false");
-    fprintf(stream, "n_gpu_layers: %d # default: -1\n", params.n_gpu_layers);
-    fprintf(stream, "n_predict: %d # default: -1 (unlimited)\n", params.n_predict);
-    fprintf(stream, "n_probs: %d # only used by server binary, default: 0\n", sparams.n_probs);
-    fprintf(stream, "no_mmap: %s # default: false\n", !params.use_mmap ? "true" : "false");
-    fprintf(stream, "penalize_nl: %s # default: false\n", sparams.penalize_nl ? "true" : "false");
-    fprintf(stream, "ppl_output_type: %d # default: 0\n", params.ppl_output_type);
-    fprintf(stream, "ppl_stride: %d # default: 0\n", params.ppl_stride);
-    fprintf(stream, "presence_penalty: %f # default: 0.0\n", sparams.penalty_present);
-    dump_string_yaml_multiline(stream, "prompt", params.prompt.c_str());
-    fprintf(stream, "prompt_cache: %s\n", params.path_prompt_cache.c_str());
-    fprintf(stream, "prompt_cache_all: %s # default: false\n", params.prompt_cache_all ? "true" : "false");
-    fprintf(stream, "prompt_cache_ro: %s # default: false\n", params.prompt_cache_ro ? "true" : "false");
-    dump_vector_int_yaml(stream, "prompt_tokens", prompt_tokens);
-    fprintf(stream, "random_prompt: %s # default: false\n", params.random_prompt ? "true" : "false");
-    fprintf(stream, "repeat_penalty: %f # default: 1.1\n", sparams.penalty_repeat);
-
-    fprintf(stream, "reverse_prompt:\n");
-    for (std::string ap : params.antiprompt) {
-        size_t pos = 0;
-        while ((pos = ap.find('\n', pos)) != std::string::npos) {
-            ap.replace(pos, 1, "\\n");
-            pos += 1;
-        }
-
-        fprintf(stream, "  - %s\n", ap.c_str());
-    }
-
-    fprintf(stream, "rope_freq_base: %f # default: 10000.0\n", params.rope_freq_base);
-    fprintf(stream, "rope_freq_scale: %f # default: 1.0\n", params.rope_freq_scale);
-    fprintf(stream, "seed: %u # default: -1 (random seed)\n", params.seed);
-    fprintf(stream, "simple_io: %s # default: false\n", params.simple_io ? "true" : "false");
-    fprintf(stream, "cont_batching: %s # default: false\n", params.cont_batching ? "true" : "false");
-    fprintf(stream, "flash_attn: %s # default: false\n", params.flash_attn ? "true" : "false");
-    fprintf(stream, "temp: %f # default: 0.8\n", sparams.temp);
-
-    const std::vector<float> tensor_split_vector(params.tensor_split, params.tensor_split + llama_max_devices());
-    dump_vector_float_yaml(stream, "tensor_split", tensor_split_vector);
-
-    fprintf(stream, "tfs: %f # default: 1.0\n", sparams.tfs_z);
-    fprintf(stream, "threads: %d # default: %u\n", params.n_threads, std::thread::hardware_concurrency());
-    fprintf(stream, "top_k: %d # default: 40\n", sparams.top_k);
-    fprintf(stream, "top_p: %f # default: 0.95\n", sparams.top_p);
-    fprintf(stream, "min_p: %f # default: 0.0\n", sparams.min_p);
-    fprintf(stream, "typical_p: %f # default: 1.0\n", sparams.typical_p);
-    fprintf(stream, "verbose_prompt: %s # default: false\n", params.verbose_prompt ? "true" : "false");
-    fprintf(stream, "display_prompt: %s # default: true\n", params.display_prompt ? "true" : "false");
+bool llama_chat_verify_template(const std::string & tmpl) {
+    llama_chat_message chat[] = {{"user", "test"}};
+    int res = llama_chat_apply_template(nullptr, tmpl.c_str(), chat, 1, true, nullptr, 0);
+    return res >= 0;
 }
 
 //
 // KV cache utils
 //
 
-void dump_kv_cache_view(const llama_kv_cache_view & view, int row_size) {
+void llama_kv_cache_dump_view(const llama_kv_cache_view & view, int row_size) {
     static const char slot_chars[] = ".123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz+";
 
     printf("=== Dumping KV cache. total cells %d, max sequences per cell %d, populated cells %d, total tokens in cache %d, largest empty slot=%d @ %d",
@@ -2767,7 +2836,7 @@ void dump_kv_cache_view(const llama_kv_cache_view & view, int row_size) {
     printf("\n=== Done dumping\n");
 }
 
-void dump_kv_cache_view_seqs(const llama_kv_cache_view & view, int row_size) {
+void llama_kv_cache_dump_view_seqs(const llama_kv_cache_view & view, int row_size) {
     static const char slot_chars[] = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz";
 
     printf("=== Dumping KV cache. total cells %d, max sequences per cell %d, populated cells %d, total tokens in cache %d, largest empty slot=%d @ %d\n",
@@ -2815,6 +2884,10 @@ void dump_kv_cache_view_seqs(const llama_kv_cache_view & view, int row_size) {
     printf("\n=== Done dumping\n");
 }
 
+//
+// Embedding utils
+//
+
 void llama_embd_normalize(const float * inp, float * out, int n) {
     double sum = 0.0;
     for (int i = 0; i < n; i++) {
@@ -2999,3 +3072,222 @@ llama_control_vector_data llama_control_vector_load(const std::vector<llama_cont
 
     return result;
 }
+
+//
+// YAML utils
+//
+
+void yaml_dump_vector_float(FILE * stream, const char * prop_name, const std::vector<float> & data) {
+    if (data.empty()) {
+        fprintf(stream, "%s:\n", prop_name);
+        return;
+    }
+
+    fprintf(stream, "%s: [", prop_name);
+    for (size_t i = 0; i < data.size() - 1; ++i) {
+        fprintf(stream, "%e, ", data[i]);
+    }
+    fprintf(stream, "%e]\n", data.back());
+}
+
+void yaml_dump_vector_int(FILE * stream, const char * prop_name, const std::vector<int> & data) {
+    if (data.empty()) {
+        fprintf(stream, "%s:\n", prop_name);
+        return;
+    }
+
+    fprintf(stream, "%s: [", prop_name);
+    for (size_t i = 0; i < data.size() - 1; ++i) {
+        fprintf(stream, "%d, ", data[i]);
+    }
+    fprintf(stream, "%d]\n", data.back());
+}
+
+void yaml_dump_string_multiline(FILE * stream, const char * prop_name, const char * data) {
+    std::string data_str(data == NULL ? "" : data);
+
+    if (data_str.empty()) {
+        fprintf(stream, "%s:\n", prop_name);
+        return;
+    }
+
+    size_t pos_start = 0;
+    size_t pos_found = 0;
+
+    if (std::isspace(data_str[0]) || std::isspace(data_str.back())) {
+        data_str = std::regex_replace(data_str, std::regex("\n"), "\\n");
+        data_str = std::regex_replace(data_str, std::regex("\""), "\\\"");
+        data_str = std::regex_replace(data_str, std::regex(R"(\\[^n"])"), R"(\$&)");
+        data_str = "\"" + data_str + "\"";
+        fprintf(stream, "%s: %s\n", prop_name, data_str.c_str());
+        return;
+    }
+
+    if (data_str.find('\n') == std::string::npos) {
+        fprintf(stream, "%s: %s\n", prop_name, data_str.c_str());
+        return;
+    }
+
+    fprintf(stream, "%s: |\n", prop_name);
+    while ((pos_found = data_str.find('\n', pos_start)) != std::string::npos) {
+        fprintf(stream, "  %s\n", data_str.substr(pos_start, pos_found-pos_start).c_str());
+        pos_start = pos_found + 1;
+    }
+}
+
+void yaml_dump_non_result_info(FILE * stream, const gpt_params & params, const llama_context * lctx,
+                               const std::string & timestamp, const std::vector<int> & prompt_tokens, const char * model_desc) {
+    const llama_sampling_params & sparams = params.sparams;
+
+    fprintf(stream, "build_commit: %s\n",        LLAMA_COMMIT);
+    fprintf(stream, "build_number: %d\n",        LLAMA_BUILD_NUMBER);
+    fprintf(stream, "cpu_has_arm_fma: %s\n",     ggml_cpu_has_arm_fma()     ? "true" : "false");
+    fprintf(stream, "cpu_has_avx: %s\n",         ggml_cpu_has_avx()         ? "true" : "false");
+    fprintf(stream, "cpu_has_avx_vnni: %s\n",    ggml_cpu_has_avx_vnni()    ? "true" : "false");
+    fprintf(stream, "cpu_has_avx2: %s\n",        ggml_cpu_has_avx2()        ? "true" : "false");
+    fprintf(stream, "cpu_has_avx512: %s\n",      ggml_cpu_has_avx512()      ? "true" : "false");
+    fprintf(stream, "cpu_has_avx512_vbmi: %s\n", ggml_cpu_has_avx512_vbmi() ? "true" : "false");
+    fprintf(stream, "cpu_has_avx512_vnni: %s\n", ggml_cpu_has_avx512_vnni() ? "true" : "false");
+    fprintf(stream, "cpu_has_cuda: %s\n",        ggml_cpu_has_cuda()        ? "true" : "false");
+    fprintf(stream, "cpu_has_vulkan: %s\n",      ggml_cpu_has_vulkan()      ? "true" : "false");
+    fprintf(stream, "cpu_has_kompute: %s\n",     ggml_cpu_has_kompute()     ? "true" : "false");
+    fprintf(stream, "cpu_has_fma: %s\n",         ggml_cpu_has_fma()         ? "true" : "false");
+    fprintf(stream, "cpu_has_gpublas: %s\n",     ggml_cpu_has_gpublas()     ? "true" : "false");
+    fprintf(stream, "cpu_has_neon: %s\n",        ggml_cpu_has_neon()        ? "true" : "false");
+    fprintf(stream, "cpu_has_sve: %s\n",         ggml_cpu_has_sve()         ? "true" : "false");
+    fprintf(stream, "cpu_has_f16c: %s\n",        ggml_cpu_has_f16c()        ? "true" : "false");
+    fprintf(stream, "cpu_has_fp16_va: %s\n",     ggml_cpu_has_fp16_va()     ? "true" : "false");
+    fprintf(stream, "cpu_has_wasm_simd: %s\n",   ggml_cpu_has_wasm_simd()   ? "true" : "false");
+    fprintf(stream, "cpu_has_blas: %s\n",        ggml_cpu_has_blas()        ? "true" : "false");
+    fprintf(stream, "cpu_has_sse3: %s\n",        ggml_cpu_has_sse3()        ? "true" : "false");
+    fprintf(stream, "cpu_has_vsx: %s\n",         ggml_cpu_has_vsx()         ? "true" : "false");
+    fprintf(stream, "cpu_has_matmul_int8: %s\n", ggml_cpu_has_matmul_int8() ? "true" : "false");
+
+#ifdef NDEBUG
+    fprintf(stream, "debug: false\n");
+#else
+    fprintf(stream, "debug: true\n");
+#endif // NDEBUG
+
+    fprintf(stream, "model_desc: %s\n", model_desc);
+    fprintf(stream, "n_vocab: %d  # output size of the final layer, 32001 for some models\n", llama_n_vocab(llama_get_model(lctx)));
+
+#ifdef __OPTIMIZE__
+    fprintf(stream, "optimize: true\n");
+#else
+    fprintf(stream, "optimize: false\n");
+#endif // __OPTIMIZE__
+
+    fprintf(stream, "time: %s\n", timestamp.c_str());
+
+    fprintf(stream, "\n");
+    fprintf(stream, "###############\n");
+    fprintf(stream, "# User Inputs #\n");
+    fprintf(stream, "###############\n");
+    fprintf(stream, "\n");
+
+    fprintf(stream, "alias: %s # default: unknown\n", params.model_alias.c_str());
+    fprintf(stream, "batch_size: %d # default: 512\n", params.n_batch);
+    yaml_dump_string_multiline(stream, "cfg_negative_prompt", sparams.cfg_negative_prompt.c_str());
+    fprintf(stream, "cfg_scale: %f # default: 1.0\n", sparams.cfg_scale);
+    fprintf(stream, "chunks: %d # default: -1 (unlimited)\n", params.n_chunks);
+    fprintf(stream, "color: %s # default: false\n", params.use_color ? "true" : "false");
+    fprintf(stream, "ctx_size: %d # default: 512\n", params.n_ctx);
+    fprintf(stream, "escape: %s # default: false\n", params.escape ? "true" : "false");
+    fprintf(stream, "file: # never logged, see prompt instead. Can still be specified for input.\n");
+    fprintf(stream, "frequency_penalty: %f # default: 0.0 \n", sparams.penalty_freq);
+    yaml_dump_string_multiline(stream, "grammar", sparams.grammar.c_str());
+    fprintf(stream, "grammar-file: # never logged, see grammar instead. Can still be specified for input.\n");
+    fprintf(stream, "hellaswag: %s # default: false\n", params.hellaswag ? "true" : "false");
+    fprintf(stream, "hellaswag_tasks: %zu # default: 400\n", params.hellaswag_tasks);
+
+    const auto logit_bias_eos = sparams.logit_bias.find(llama_token_eos(llama_get_model(lctx)));
+    const bool ignore_eos = logit_bias_eos != sparams.logit_bias.end() && logit_bias_eos->second == -INFINITY;
+    fprintf(stream, "ignore_eos: %s # default: false\n", ignore_eos ? "true" : "false");
+
+    yaml_dump_string_multiline(stream, "in_prefix", params.input_prefix.c_str());
+    fprintf(stream, "in_prefix_bos: %s # default: false\n", params.input_prefix_bos ? "true" : "false");
+    yaml_dump_string_multiline(stream, "in_suffix", params.input_prefix.c_str());
+    fprintf(stream, "interactive: %s # default: false\n", params.interactive ? "true" : "false");
+    fprintf(stream, "interactive_first: %s # default: false\n", params.interactive_first ? "true" : "false");
+    fprintf(stream, "keep: %d # default: 0\n", params.n_keep);
+    fprintf(stream, "logdir: %s # default: unset (no logging)\n", params.logdir.c_str());
+
+    fprintf(stream, "logit_bias:\n");
+    for (std::pair<llama_token, float> lb : sparams.logit_bias) {
+        if (ignore_eos && lb.first == logit_bias_eos->first) {
+            continue;
+        }
+        fprintf(stream, "  %d: %f", lb.first, lb.second);
+    }
+
+    fprintf(stream, "lora:\n");
+    for (std::tuple<std::string, float> la : params.lora_adapter) {
+        if (std::get<1>(la) != 1.0f) {
+            continue;
+        }
+        fprintf(stream, "  - %s\n", std::get<0>(la).c_str());
+    }
+    fprintf(stream, "lora_scaled:\n");
+    for (std::tuple<std::string, float> la : params.lora_adapter) {
+        if (std::get<1>(la) == 1.0f) {
+            continue;
+        }
+        fprintf(stream, "  - %s: %f\n", std::get<0>(la).c_str(), std::get<1>(la));
+    }
+    fprintf(stream, "lora_base: %s\n", params.lora_base.c_str());
+    fprintf(stream, "main_gpu: %d # default: 0\n", params.main_gpu);
+    fprintf(stream, "min_keep: %d # default: 0 (disabled)\n", sparams.min_keep);
+    fprintf(stream, "mirostat: %d # default: 0 (disabled)\n", sparams.mirostat);
+    fprintf(stream, "mirostat_ent: %f # default: 5.0\n", sparams.mirostat_tau);
+    fprintf(stream, "mirostat_lr: %f # default: 0.1\n", sparams.mirostat_eta);
+    fprintf(stream, "mlock: %s # default: false\n", params.use_mlock ? "true" : "false");
+    fprintf(stream, "model: %s # default: %s\n", params.model.c_str(), DEFAULT_MODEL_PATH);
+    fprintf(stream, "model_draft: %s # default:\n", params.model_draft.c_str());
+    fprintf(stream, "multiline_input: %s # default: false\n", params.multiline_input ? "true" : "false");
+    fprintf(stream, "n_gpu_layers: %d # default: -1\n", params.n_gpu_layers);
+    fprintf(stream, "n_predict: %d # default: -1 (unlimited)\n", params.n_predict);
+    fprintf(stream, "n_probs: %d # only used by server binary, default: 0\n", sparams.n_probs);
+    fprintf(stream, "no_mmap: %s # default: false\n", !params.use_mmap ? "true" : "false");
+    fprintf(stream, "penalize_nl: %s # default: false\n", sparams.penalize_nl ? "true" : "false");
+    fprintf(stream, "ppl_output_type: %d # default: 0\n", params.ppl_output_type);
+    fprintf(stream, "ppl_stride: %d # default: 0\n", params.ppl_stride);
+    fprintf(stream, "presence_penalty: %f # default: 0.0\n", sparams.penalty_present);
+    yaml_dump_string_multiline(stream, "prompt", params.prompt.c_str());
+    fprintf(stream, "prompt_cache: %s\n", params.path_prompt_cache.c_str());
+    fprintf(stream, "prompt_cache_all: %s # default: false\n", params.prompt_cache_all ? "true" : "false");
+    fprintf(stream, "prompt_cache_ro: %s # default: false\n", params.prompt_cache_ro ? "true" : "false");
+    yaml_dump_vector_int(stream, "prompt_tokens", prompt_tokens);
+    fprintf(stream, "repeat_penalty: %f # default: 1.1\n", sparams.penalty_repeat);
+
+    fprintf(stream, "reverse_prompt:\n");
+    for (std::string ap : params.antiprompt) {
+        size_t pos = 0;
+        while ((pos = ap.find('\n', pos)) != std::string::npos) {
+            ap.replace(pos, 1, "\\n");
+            pos += 1;
+        }
+
+        fprintf(stream, "  - %s\n", ap.c_str());
+    }
+
+    fprintf(stream, "rope_freq_base: %f # default: 10000.0\n", params.rope_freq_base);
+    fprintf(stream, "rope_freq_scale: %f # default: 1.0\n", params.rope_freq_scale);
+    fprintf(stream, "seed: %u # default: -1 (random seed)\n", params.seed);
+    fprintf(stream, "simple_io: %s # default: false\n", params.simple_io ? "true" : "false");
+    fprintf(stream, "cont_batching: %s # default: false\n", params.cont_batching ? "true" : "false");
+    fprintf(stream, "flash_attn: %s # default: false\n", params.flash_attn ? "true" : "false");
+    fprintf(stream, "temp: %f # default: 0.8\n", sparams.temp);
+
+    const std::vector<float> tensor_split_vector(params.tensor_split, params.tensor_split + llama_max_devices());
+    yaml_dump_vector_float(stream, "tensor_split", tensor_split_vector);
+
+    fprintf(stream, "tfs: %f # default: 1.0\n", sparams.tfs_z);
+    fprintf(stream, "threads: %d # default: %u\n", params.n_threads, std::thread::hardware_concurrency());
+    fprintf(stream, "top_k: %d # default: 40\n", sparams.top_k);
+    fprintf(stream, "top_p: %f # default: 0.95\n", sparams.top_p);
+    fprintf(stream, "min_p: %f # default: 0.0\n", sparams.min_p);
+    fprintf(stream, "typical_p: %f # default: 1.0\n", sparams.typical_p);
+    fprintf(stream, "verbose_prompt: %s # default: false\n", params.verbose_prompt ? "true" : "false");
+    fprintf(stream, "display_prompt: %s # default: true\n", params.display_prompt ? "true" : "false");
+}
diff --git a/common/common.h b/common/common.h
index d80344f2a..e0a08a61b 100644
--- a/common/common.h
+++ b/common/common.h
@@ -27,7 +27,7 @@
 #define die_fmt(fmt, ...) do { fprintf(stderr, "error: " fmt "\n", __VA_ARGS__); exit(1); } while (0)
 
 #define print_build_info() do {                                                                     \
-    fprintf(stderr, "%s: build = %d (%s)\n", __func__, LLAMA_BUILD_NUMBER, LLAMA_COMMIT);           \
+    fprintf(stderr, "%s: build = %d (%s)\n",      __func__, LLAMA_BUILD_NUMBER, LLAMA_COMMIT);      \
     fprintf(stderr, "%s: built with %s for %s\n", __func__, LLAMA_COMPILER, LLAMA_BUILD_TARGET);    \
 } while(0)
 
@@ -35,14 +35,18 @@
 
 // build info
 extern int LLAMA_BUILD_NUMBER;
-extern char const *LLAMA_COMMIT;
-extern char const *LLAMA_COMPILER;
-extern char const *LLAMA_BUILD_TARGET;
+extern char const * LLAMA_COMMIT;
+extern char const * LLAMA_COMPILER;
+extern char const * LLAMA_BUILD_TARGET;
 
 struct llama_control_vector_load_info;
 
-int get_math_cpu_count();
-int32_t get_num_physical_cores();
+//
+// CPU utils
+//
+
+int32_t cpu_get_num_physical_cores();
+int32_t cpu_get_num_math();
 
 //
 // CLI argument parsing
@@ -51,12 +55,12 @@ int32_t get_num_physical_cores();
 struct gpt_params {
     uint32_t seed                 = LLAMA_DEFAULT_SEED; // RNG seed
 
-    int32_t n_threads             = get_math_cpu_count();
+    int32_t n_threads             = cpu_get_num_math();
     int32_t n_threads_draft       = -1;
     int32_t n_threads_batch       = -1;    // number of threads to use for batch processing (-1 = use n_threads)
     int32_t n_threads_batch_draft = -1;
     int32_t n_predict             = -1;    // new tokens to predict
-    int32_t n_ctx                 = 512;   // context size
+    int32_t n_ctx                 = 0;     // context size
     int32_t n_batch               = 2048;  // logical batch size for prompt processing (must be >=32 to use BLAS)
     int32_t n_ubatch              = 512;   // physical batch size for prompt processing (must be >=32 to use BLAS)
     int32_t n_keep                = 0;     // number of tokens to keep from initial prompt
@@ -82,6 +86,7 @@ struct gpt_params {
     float   yarn_beta_slow        = 1.0f;  // YaRN high correction dim
     int32_t yarn_orig_ctx         = 0;     // YaRN original context length
     float   defrag_thold          = -1.0f; // KV cache defragmentation threshold
+    std::string rpc_servers       = "";    // comma separated list of RPC servers
 
     ggml_backend_sched_eval_callback cb_eval = nullptr;
     void * cb_eval_user_data                 = nullptr;
@@ -94,23 +99,23 @@ struct gpt_params {
     // // sampling parameters
     struct llama_sampling_params sparams;
 
-    std::string model                = "";  // model path
-    std::string model_draft          = "";  // draft model for speculative decoding
+    std::string model                = ""; // model path
+    std::string model_draft          = ""; // draft model for speculative decoding
     std::string model_alias          = "unknown"; // model alias
-    std::string model_url            = "";  // model url to download
-    std::string hf_repo              = "";  // HF repo
-    std::string hf_file              = "";  // HF file
+    std::string model_url            = ""; // model url to download
+    std::string hf_repo              = ""; // HF repo
+    std::string hf_file              = ""; // HF file
     std::string prompt               = "";
-    std::string prompt_file          = "";  // store the external prompt file name
-    std::string path_prompt_cache    = "";  // path to file for saving/loading prompt eval state
-    std::string input_prefix         = "";  // string to prefix user inputs with
-    std::string input_suffix         = "";  // string to suffix user inputs with
-    std::vector<std::string> antiprompt; // string upon seeing which more user input is prompted
-    std::string logdir               = "";  // directory in which to save YAML log files
+    std::string prompt_file          = ""; // store the external prompt file name
+    std::string path_prompt_cache    = ""; // path to file for saving/loading prompt eval state
+    std::string input_prefix         = ""; // string to prefix user inputs with
+    std::string input_suffix         = ""; // string to suffix user inputs with
+    std::string logdir               = ""; // directory in which to save YAML log files
     std::string lookup_cache_static  = ""; // path of static ngram cache file for lookup decoding
     std::string lookup_cache_dynamic = ""; // path of dynamic ngram cache file for lookup decoding
-    std::string logits_file          = "";  // file for saving *all* logits
+    std::string logits_file          = ""; // file for saving *all* logits
 
+    std::vector<std::string> antiprompt; // strings upon which more user input is prompted (a.k.a. reverse prompts)
     std::vector<llama_model_kv_override> kv_overrides;
 
     // TODO: avoid tuple, use struct
@@ -122,8 +127,8 @@ struct gpt_params {
     int32_t control_vector_layer_start = -1; // layer range for control vector
     int32_t control_vector_layer_end   = -1; // layer range for control vector
 
-    int  ppl_stride        = 0;     // stride for perplexity calculations. If left at 0, the pre-existing approach will be used.
-    int  ppl_output_type   = 0;     // = 0 -> ppl output is as usual, = 1 -> ppl output is num_tokens, ppl, one per line
+    int32_t ppl_stride      = 0;    // stride for perplexity calculations. If left at 0, the pre-existing approach will be used.
+    int32_t ppl_output_type = 0;    // = 0 -> ppl output is as usual, = 1 -> ppl output is num_tokens, ppl, one per line
                                     //                                       (which is more convenient to use for plotting)
                                     //
     bool   hellaswag       = false; // compute HellaSwag score over random tasks from datafile supplied in prompt
@@ -137,18 +142,17 @@ struct gpt_params {
 
     bool   kl_divergence   = false; // compute KL divergence
 
-    bool random_prompt     = false; // do not randomize prompt if none provided
+    bool usage             = false; // print usage
     bool use_color         = false; // use color to distinguish generations and inputs
+    bool special           = false; // enable special token output
     bool interactive       = false; // interactive mode
-    bool interactive_specials = false; // whether to allow special tokens from user, during interactive mode
+    bool interactive_first = false; // wait for user input immediately
     bool conversation      = false; // conversation mode (does not print special tokens and suffix/prefix)
-    bool chatml            = false; // chatml mode (used for models trained on chatml syntax)
     bool prompt_cache_all  = false; // save user input and generations to prompt cache
     bool prompt_cache_ro   = false; // open the prompt cache read-only and do not update it
 
     bool embedding         = false; // get only sentence embedding
-    bool escape            = false; // escape "\n", "\r", "\t", "\'", "\"", and "\\"
-    bool interactive_first = false; // wait for user input immediately
+    bool escape            = true;  // escape "\n", "\r", "\t", "\'", "\"", and "\\"
     bool multiline_input   = false; // reverse the usage of `\`
     bool simple_io         = false; // improves compatibility with subprocesses and limited consoles
     bool cont_batching     = true;  // insert new sequences for decoding on-the-fly
@@ -156,10 +160,10 @@ struct gpt_params {
 
     bool input_prefix_bos  = false; // prefix BOS to user inputs, preceding input_prefix
     bool ignore_eos        = false; // ignore generated EOS tokens
-    bool instruct          = false; // instruction mode (used for Alpaca models)
     bool logits_all        = false; // return logits for all tokens in the batch
     bool use_mmap          = true;  // use mmap for faster loads
     bool use_mlock         = false; // use mlock to keep model in memory
+    bool verbose           = false;
     bool verbose_prompt    = false; // print prompt tokens before generation
     bool display_prompt    = true;  // print prompt before generation
     bool infill            = false; // use infill mode
@@ -174,37 +178,92 @@ struct gpt_params {
     // multimodal models (see examples/llava)
     std::string mmproj = "";        // path to multimodal projector
     std::vector<std::string> image; // path to image file(s)
+
+    // server params
+    int32_t port           = 8080;
+    int32_t timeout_read   = 600;
+    int32_t timeout_write  = timeout_read;
+    int32_t n_threads_http = -1;
+
+    std::string hostname      = "127.0.0.1";
+    std::string public_path   = "";
+    std::string chat_template = "";
+    std::string system_prompt = "";
+
+    std::vector<std::string> api_keys;
+
+    std::string ssl_file_key  = "";
+    std::string ssl_file_cert = "";
+
+    bool endpoint_slots   = true;
+    bool endpoint_metrics = false;
+
+    bool log_json = false;
+
+    std::string slot_save_path;
+
+    // batched-bench params
+    bool is_pp_shared = false;
+
+    std::vector<int32_t> n_pp;
+    std::vector<int32_t> n_tg;
+    std::vector<int32_t> n_pl;
+
+    // retrieval params
+    std::vector<std::string> context_files; // context files to embed
+
+    int32_t chunk_size = 64; // chunk size for context embedding
+
+    std::string chunk_separator = "\n"; // chunk separator for context embedding
+
+    // passkey params
+    int32_t n_junk = 250; // number of times to repeat the junk text
+    int32_t i_pos  = -1;  // position of the passkey in the junk text
 };
 
 void gpt_params_handle_model_default(gpt_params & params);
 
-bool parse_kv_override(const char * data, std::vector<llama_model_kv_override> & overrides);
+bool gpt_params_parse_ex   (int argc, char ** argv, gpt_params & params);
+bool gpt_params_parse      (int argc, char ** argv, gpt_params & params);
+bool gpt_params_find_arg   (int argc, char ** argv, const std::string & arg, gpt_params & params, int & i, bool & invalid_param);
+void gpt_params_print_usage(int argc, char ** argv, const gpt_params & params);
 
-bool gpt_params_parse_ex(int argc, char ** argv, gpt_params & params);
-
-bool gpt_params_parse(int argc, char ** argv, gpt_params & params);
-
-void gpt_print_usage(int argc, char ** argv, const gpt_params & params);
-
-bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_params & params, int & i, bool & invalid_param);
-
-std::string get_system_info(const gpt_params & params);
-
-std::string gpt_random_prompt(std::mt19937 & rng);
-
-void process_escapes(std::string& input);
-
-bool validate_file_name(const std::string & filename);
+std::string gpt_params_get_system_info(const gpt_params & params);
 
 //
 // String utils
 //
 
-std::vector<llama_sampler_type> sampler_types_from_names(const std::vector<std::string> & names, bool allow_alt_names);
-std::vector<llama_sampler_type> sampler_types_from_chars(const std::string & names_string);
 std::vector<std::string> string_split(std::string input, char separator);
+
 std::string string_strip(const std::string & str);
-std::string sampler_type_to_name_string(llama_sampler_type sampler_type);
+std::string string_get_sortable_timestamp();
+
+template<class T>
+static std::vector<T> string_split(const std::string & str, char delim) {
+    std::vector<T> values;
+    std::istringstream str_stream(str);
+    std::string token;
+    while (std::getline(str_stream, token, delim)) {
+        T value;
+        std::istringstream token_stream(token);
+        token_stream >> value;
+        values.push_back(value);
+    }
+    return values;
+}
+
+bool string_parse_kv_override(const char * data, std::vector<llama_model_kv_override> & overrides);
+void string_process_escapes(std::string & input);
+
+//
+// Filesystem utils
+//
+
+bool fs_validate_filename(const std::string & filename);
+bool fs_create_directory_with_parents(const std::string & path);
+
+std::string fs_get_cache_directory();
 
 //
 // Model utils
@@ -276,28 +335,21 @@ std::string llama_detokenize_bpe(
 bool llama_should_add_bos_token(const llama_model * model);
 
 //
-// YAML utils
+// Chat template utils
 //
 
-bool create_directory_with_parents(const std::string & path);
-void dump_vector_float_yaml(FILE * stream, const char * prop_name, const std::vector<float> & data);
-void dump_vector_int_yaml(FILE * stream, const char * prop_name, const std::vector<int> & data);
-void dump_string_yaml_multiline(FILE * stream, const char * prop_name, const char * data);
-std::string get_sortable_timestamp();
-
-void dump_non_result_info_yaml(
-    FILE * stream, const gpt_params & params, const llama_context * lctx,
-    const std::string & timestamp, const std::vector<int> & prompt_tokens, const char * model_desc);
+// Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid
+bool llama_chat_verify_template(const std::string & tmpl);
 
 //
 // KV cache utils
 //
 
 // Dump the KV cache view with the number of sequences per cell.
-void dump_kv_cache_view(const llama_kv_cache_view & view, int row_size = 80);
+void llama_kv_cache_dump_view(const llama_kv_cache_view & view, int row_size = 80);
 
 // Dump the KV cache view showing individual sequences in each cell (long output).
-void dump_kv_cache_view_seqs(const llama_kv_cache_view & view, int row_size = 40);
+void llama_kv_cache_dump_view_seqs(const llama_kv_cache_view & view, int row_size = 40);
 
 //
 // Embedding utils
@@ -331,6 +383,20 @@ llama_control_vector_data llama_control_vector_load(const std::vector<llama_cont
 //
 // Split utils
 //
+
 static const char * const LLM_KV_SPLIT_NO            = "split.no";
 static const char * const LLM_KV_SPLIT_COUNT         = "split.count";
 static const char * const LLM_KV_SPLIT_TENSORS_COUNT = "split.tensors.count";
+
+//
+// YAML utils
+//
+
+void yaml_dump_vector_float    (FILE * stream, const char * prop_name, const std::vector<float> & data);
+void yaml_dump_vector_int      (FILE * stream, const char * prop_name, const std::vector<int> & data);
+void yaml_dump_string_multiline(FILE * stream, const char * prop_name, const char * data);
+
+void yaml_dump_non_result_info(
+    FILE * stream, const gpt_params & params, const llama_context * lctx,
+    const std::string & timestamp, const std::vector<int> & prompt_tokens, const char * model_desc);
+
diff --git a/common/grammar-parser.cpp b/common/grammar-parser.cpp
index fecb7cd71..b5bc7d49b 100644
--- a/common/grammar-parser.cpp
+++ b/common/grammar-parser.cpp
@@ -26,7 +26,7 @@ namespace grammar_parser {
 
     static uint32_t get_symbol_id(parse_state & state, const char * src, size_t len) {
         uint32_t next_id = static_cast<uint32_t>(state.symbol_ids.size());
-        auto result = state.symbol_ids.insert(std::make_pair(std::string(src, len), next_id));
+        auto result = state.symbol_ids.emplace(std::string(src, len), next_id);
         return result.first->second;
     }
 
diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp
index 0f8f1b1d4..9a71f5d8d 100644
--- a/common/json-schema-to-grammar.cpp
+++ b/common/json-schema-to-grammar.cpp
@@ -272,7 +272,7 @@ private:
                     if (literal.empty()) {
                         return false;
                     }
-                    ret.push_back(std::make_pair(literal, true));
+                    ret.emplace_back(literal, true);
                     literal.clear();
                     return true;
                 };
@@ -298,7 +298,7 @@ private:
             while (i < length) {
                 char c = sub_pattern[i];
                 if (c == '.') {
-                    seq.push_back(std::make_pair(get_dot(), false));
+                    seq.emplace_back(get_dot(), false);
                     i++;
                 } else if (c == '(') {
                     i++;
@@ -307,7 +307,7 @@ private:
                             _warnings.push_back("Unsupported pattern syntax");
                         }
                     }
-                    seq.push_back(std::make_pair("(" + to_rule(transform()) + ")", false));
+                    seq.emplace_back("(" + to_rule(transform()) + ")", false);
                 } else if (c == ')') {
                     i++;
                     if (start > 0 && sub_pattern[start - 1] != '(') {
@@ -331,9 +331,9 @@ private:
                     }
                     square_brackets += ']';
                     i++;
-                    seq.push_back(std::make_pair(square_brackets, false));
+                    seq.emplace_back(square_brackets, false);
                 } else if (c == '|') {
-                    seq.push_back(std::make_pair("|", false));
+                    seq.emplace_back("|", false);
                     i++;
                 } else if (c == '*' || c == '+' || c == '?') {
                     seq.back() = std::make_pair(to_rule(seq.back()) + c, false);
@@ -417,7 +417,7 @@ private:
                         }
                     }
                     if (!literal.empty()) {
-                        seq.push_back(std::make_pair(literal, true));
+                        seq.emplace_back(literal, true);
                     }
                 }
             }
diff --git a/common/log.h b/common/log.h
index 6934c57b2..09fa63c26 100644
--- a/common/log.h
+++ b/common/log.h
@@ -211,7 +211,7 @@ inline std::string log_filename_generator_impl(LogTriState multilog, const std::
         #define LOG_FLF_VAL , __FILE__, __LINE__, __FUNCTION__
     #else
         #define LOG_FLF_FMT "[%24s:%5ld][%24s] "
-        #define LOG_FLF_VAL , __FILE__, __LINE__, __FUNCTION__
+        #define LOG_FLF_VAL , __FILE__, (long)__LINE__, __FUNCTION__
     #endif
 #else
     #define LOG_FLF_FMT "%s"
@@ -224,7 +224,7 @@ inline std::string log_filename_generator_impl(LogTriState multilog, const std::
         #define LOG_TEE_FLF_VAL , __FILE__, __LINE__, __FUNCTION__
     #else
         #define LOG_TEE_FLF_FMT "[%24s:%5ld][%24s] "
-        #define LOG_TEE_FLF_VAL , __FILE__, __LINE__, __FUNCTION__
+        #define LOG_TEE_FLF_VAL , __FILE__, (long)__LINE__, __FUNCTION__
     #endif
 #else
     #define LOG_TEE_FLF_FMT "%s"
@@ -294,7 +294,7 @@ inline std::string log_filename_generator_impl(LogTriState multilog, const std::
 // Main LOG macro.
 //  behaves like printf, and supports arguments the exact same way.
 //
-#ifndef _MSC_VER
+#if !defined(_MSC_VER) || defined(__clang__)
     #define LOG(...) LOG_IMPL(__VA_ARGS__, "")
 #else
     #define LOG(str, ...) LOG_IMPL("%s" str, "", ##__VA_ARGS__, "")
@@ -308,14 +308,14 @@ inline std::string log_filename_generator_impl(LogTriState multilog, const std::
 // Secondary target can be changed just like LOG_TARGET
 //  by defining LOG_TEE_TARGET
 //
-#ifndef _MSC_VER
+#if !defined(_MSC_VER) || defined(__clang__)
     #define LOG_TEE(...) LOG_TEE_IMPL(__VA_ARGS__, "")
 #else
     #define LOG_TEE(str, ...) LOG_TEE_IMPL("%s" str, "", ##__VA_ARGS__, "")
 #endif
 
 // LOG macro variants with auto endline.
-#ifndef _MSC_VER
+#if !defined(_MSC_VER) || defined(__clang__)
     #define LOGLN(...) LOG_IMPL(__VA_ARGS__, "\n")
     #define LOG_TEELN(...) LOG_TEE_IMPL(__VA_ARGS__, "\n")
 #else
diff --git a/common/sampling.cpp b/common/sampling.cpp
index f0f1b92d3..f1f803516 100644
--- a/common/sampling.cpp
+++ b/common/sampling.cpp
@@ -125,7 +125,7 @@ std::string llama_sampling_order_print(const llama_sampling_params & params) {
     std::string result = "CFG -> Penalties ";
     if (params.mirostat == 0) {
         for (auto sampler_type : params.samplers_sequence) {
-            const auto sampler_type_name = sampler_type_to_name_string(sampler_type);
+            const auto sampler_type_name = llama_sampling_type_to_str(sampler_type);
             if (!sampler_type_name.empty()) {
                 result += "-> " + sampler_type_name + " ";
             }
@@ -137,6 +137,87 @@ std::string llama_sampling_order_print(const llama_sampling_params & params) {
     return result;
 }
 
+std::string llama_sampling_type_to_str(llama_sampler_type sampler_type) {
+    switch (sampler_type) {
+        case llama_sampler_type::TOP_K:       return "top_k";
+        case llama_sampler_type::TFS_Z:       return "tfs_z";
+        case llama_sampler_type::TYPICAL_P:   return "typical_p";
+        case llama_sampler_type::TOP_P:       return "top_p";
+        case llama_sampler_type::MIN_P:       return "min_p";
+        case llama_sampler_type::TEMPERATURE: return "temperature";
+        default : return "";
+    }
+}
+
+std::vector<llama_sampler_type> llama_sampling_types_from_names(const std::vector<std::string> & names, bool allow_alt_names) {
+    std::unordered_map<std::string, llama_sampler_type> sampler_canonical_name_map {
+        {"top_k",       llama_sampler_type::TOP_K},
+        {"top_p",       llama_sampler_type::TOP_P},
+        {"typical_p",   llama_sampler_type::TYPICAL_P},
+        {"min_p",       llama_sampler_type::MIN_P},
+        {"tfs_z",       llama_sampler_type::TFS_Z},
+        {"temperature", llama_sampler_type::TEMPERATURE}
+    };
+
+    // since samplers names are written multiple ways
+    // make it ready for both system names and input names
+    std::unordered_map<std::string, llama_sampler_type> sampler_alt_name_map {
+        {"top-k",       llama_sampler_type::TOP_K},
+        {"top-p",       llama_sampler_type::TOP_P},
+        {"nucleus",     llama_sampler_type::TOP_P},
+        {"typical-p",   llama_sampler_type::TYPICAL_P},
+        {"typical",     llama_sampler_type::TYPICAL_P},
+        {"min-p",       llama_sampler_type::MIN_P},
+        {"tfs-z",       llama_sampler_type::TFS_Z},
+        {"tfs",         llama_sampler_type::TFS_Z},
+        {"temp",        llama_sampler_type::TEMPERATURE}
+    };
+
+    std::vector<llama_sampler_type> sampler_types;
+    sampler_types.reserve(names.size());
+    for (const auto & name : names)
+    {
+        auto sampler_item = sampler_canonical_name_map.find(name);
+        if (sampler_item != sampler_canonical_name_map.end())
+        {
+            sampler_types.push_back(sampler_item->second);
+        }
+        else
+        {
+            if (allow_alt_names)
+            {
+                sampler_item = sampler_alt_name_map.find(name);
+                if (sampler_item != sampler_alt_name_map.end())
+                {
+                    sampler_types.push_back(sampler_item->second);
+                }
+            }
+        }
+    }
+    return sampler_types;
+}
+
+std::vector<llama_sampler_type> llama_sampling_types_from_chars(const std::string & names_string) {
+    std::unordered_map<char, llama_sampler_type> sampler_name_map {
+        {'k', llama_sampler_type::TOP_K},
+        {'p', llama_sampler_type::TOP_P},
+        {'y', llama_sampler_type::TYPICAL_P},
+        {'m', llama_sampler_type::MIN_P},
+        {'f', llama_sampler_type::TFS_Z},
+        {'t', llama_sampler_type::TEMPERATURE}
+    };
+
+    std::vector<llama_sampler_type> sampler_types;
+    sampler_types.reserve(names_string.size());
+    for (const auto & c : names_string) {
+        const auto sampler_item = sampler_name_map.find(c);
+        if (sampler_item != sampler_name_map.end()) {
+            sampler_types.push_back(sampler_item->second);
+        }
+    }
+    return sampler_types;
+}
+
 // no reasons to expose this function in header
 static void sampler_queue(
                    struct llama_context * ctx_main,
@@ -179,7 +260,7 @@ static llama_token llama_sampling_sample_impl(
                   struct llama_context * ctx_main,
                   struct llama_context * ctx_cfg,
                   const int idx,
-                  bool is_resampling) {  // Add a parameter to indicate if we are resampling
+                  bool is_resampling) {
     const llama_sampling_params & params = ctx_sampling->params;
 
     const float   temp            = params.temp;
@@ -188,8 +269,8 @@ static llama_token llama_sampling_sample_impl(
     const float   mirostat_eta    = params.mirostat_eta;
 
     std::vector<float> original_logits;
-    auto cur_p = llama_sampling_prepare(ctx_sampling, ctx_main, ctx_cfg, idx, !is_resampling, &original_logits);
-    if (!is_resampling) {
+    auto cur_p = llama_sampling_prepare(ctx_sampling, ctx_main, ctx_cfg, idx, /* apply_grammar= */ is_resampling, &original_logits);
+    if (ctx_sampling->grammar != NULL && !is_resampling) {
         GGML_ASSERT(!original_logits.empty());
     }
     llama_token id = 0;
@@ -252,7 +333,7 @@ static llama_token llama_sampling_sample_impl(
             // Restore logits from the copy
             std::copy(original_logits.begin(), original_logits.end(), logits);
 
-            return llama_sampling_sample_impl(ctx_sampling, ctx_main, ctx_cfg, idx, true);  // Pass true for is_resampling
+            return llama_sampling_sample_impl(ctx_sampling, ctx_main, ctx_cfg, idx, /* is_resampling= */ true);
         }
     }
 
@@ -285,7 +366,8 @@ static llama_token_data_array llama_sampling_prepare_impl(
     // Get a pointer to the logits
     float * logits = llama_get_logits_ith(ctx_main, idx);
 
-    if (apply_grammar && original_logits != NULL) {
+    if (ctx_sampling->grammar != NULL && !apply_grammar) {
+        GGML_ASSERT(original_logits != NULL);
         // Only make a copy of the original logits if we are not applying grammar checks, not sure if I actually have to do this.
         *original_logits = {logits, logits + llama_n_vocab(llama_get_model(ctx_main))};
     }
@@ -342,7 +424,7 @@ llama_token llama_sampling_sample(
                   struct llama_context * ctx_cfg,
                   const int idx) {
     // Call the implementation function with is_resampling set to false by default
-    return llama_sampling_sample_impl(ctx_sampling, ctx_main, ctx_cfg, idx, false);
+    return llama_sampling_sample_impl(ctx_sampling, ctx_main, ctx_cfg, idx, /* is_resampling= */ false);
 }
 
 llama_token_data_array llama_sampling_prepare(
diff --git a/common/sampling.h b/common/sampling.h
index 655732ad1..eeaa53b8b 100644
--- a/common/sampling.h
+++ b/common/sampling.h
@@ -116,6 +116,11 @@ std::string llama_sampling_print(const llama_sampling_params & params);
 // Print sampling order into a string
 std::string llama_sampling_order_print(const llama_sampling_params & params);
 
+std::string llama_sampling_type_to_str(llama_sampler_type sampler_type);
+
+std::vector<llama_sampler_type> llama_sampling_types_from_names(const std::vector<std::string> & names, bool allow_alt_names);
+std::vector<llama_sampler_type> llama_sampling_types_from_chars(const std::string & names_string);
+
 // this is a common sampling function used across the examples for convenience
 // it can serve as a starting point for implementing your own sampling function
 // Note: When using multiple sequences, it is the caller's responsibility to call
diff --git a/common/train.cpp b/common/train.cpp
index 0dbfd24df..fef1e57c9 100644
--- a/common/train.cpp
+++ b/common/train.cpp
@@ -1052,7 +1052,7 @@ struct train_params_common get_default_train_params_common() {
 
     params.custom_n_ctx = false;
 
-    params.use_flash              = true;
+    params.use_flash              = false;
     params.use_checkpointing      = true;
 
     params.sample_start           = "";
@@ -1380,7 +1380,7 @@ bool consume_common_train_arg(
 
 void finish_processing_train_args(struct train_params_common * params) {
     if (params->escape) {
-        process_escapes(params->sample_start);
+        string_process_escapes(params->sample_start);
     }
 }
 
diff --git a/convert-hf-to-gguf-update.py b/convert-hf-to-gguf-update.py
index 91a3c8215..ef3604798 100755
--- a/convert-hf-to-gguf-update.py
+++ b/convert-hf-to-gguf-update.py
@@ -20,11 +20,13 @@
 # - Update llama.cpp with the new pre-tokenizer if necessary
 #
 # TODO: generate tokenizer tests for llama.cpp
-# TODO: automate the update of convert-hf-to-gguf.py
 #
 
 import logging
 import os
+import pathlib
+import re
+
 import requests
 import sys
 import json
@@ -35,6 +37,7 @@ from transformers import AutoTokenizer
 
 logging.basicConfig(level=logging.DEBUG)
 logger = logging.getLogger("convert-hf-to-gguf-update")
+sess = requests.Session()
 
 
 class TOKENIZER_TYPE(IntEnum):
@@ -69,6 +72,7 @@ models = [
     {"name": "mpt",            "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/mosaicml/mpt-7b", },
     {"name": "starcoder",      "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/bigcode/starcoder2-3b", },
     {"name": "gpt-2",          "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/openai-community/gpt2", },
+    {"name": "stablelm2",      "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/stabilityai/stablelm-2-zephyr-1_6b", },
     {"name": "refact",         "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/smallcloudai/Refact-1_6-base", },
     {"name": "command-r",      "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/CohereForAI/c4ai-command-r-v01", },
     {"name": "qwen2",          "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/Qwen/Qwen1.5-7B", },
@@ -77,66 +81,49 @@ models = [
     {"name": "jina-v2-en",     "tokt": TOKENIZER_TYPE.WPM, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-en", }, # WPM!
     {"name": "jina-v2-es",     "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-es", },
     {"name": "jina-v2-de",     "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-de", },
+    {"name": "smaug-bpe",      "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct", },
+    {"name": "jina-v2-code",    "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-code", },
     {"name": "jina-v2-zh",     "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-zh", },
 ]
 
-# make directory "models/tokenizers" if it doesn't exist
-if not os.path.exists("models/tokenizers"):
-    os.makedirs("models/tokenizers")
-
 
 def download_file_with_auth(url, token, save_path):
     headers = {"Authorization": f"Bearer {token}"}
-    response = requests.get(url, headers=headers)
-    if response.status_code == 200:
-        with open(save_path, 'wb') as f:
-            f.write(response.content)
-        logger.info(f"File {save_path} downloaded successfully")
-    else:
-        logger.info(f"Failed to download file. Status code: {response.status_code}")
+    response = sess.get(url, headers=headers)
+    response.raise_for_status()
+    os.makedirs(os.path.dirname(save_path), exist_ok=True)
+    with open(save_path, 'wb') as f:
+        f.write(response.content)
+    logger.info(f"File {save_path} downloaded successfully")
 
 
-# download the tokenizer models
-for model in models:
+def download_model(model):
     name = model["name"]
     repo = model["repo"]
     tokt = model["tokt"]
 
-    if not os.path.exists(f"models/tokenizers/{name}"):
-        os.makedirs(f"models/tokenizers/{name}")
-    else:
-        logger.info(f"Directory models/tokenizers/{name} already exists - skipping")
-        continue
-
-    logger.info(f"Downloading {name} to models/tokenizers/{name}")
-
-    url = f"{repo}/raw/main/config.json"
-    save_path = f"models/tokenizers/{name}/config.json"
-    download_file_with_auth(url, token, save_path)
-
-    url = f"{repo}/raw/main/tokenizer.json"
-    save_path = f"models/tokenizers/{name}/tokenizer.json"
-    download_file_with_auth(url, token, save_path)
-
-    # if downloaded file is less than 1KB, we likely need to download an LFS instead
-    if os.path.getsize(save_path) < 1024:
-        # remove the file
-        os.remove(save_path)
-        url = f"{repo}/resolve/main/tokenizer.json"
-        save_path = f"models/tokenizers/{name}/tokenizer.json"
-        download_file_with_auth(url, token, save_path)
+    os.makedirs(f"models/tokenizers/{name}", exist_ok=True)
 
+    files = ["config.json", "tokenizer.json", "tokenizer_config.json"]
     if tokt == TOKENIZER_TYPE.SPM:
-        url = f"{repo}/resolve/main/tokenizer.model"
-        save_path = f"models/tokenizers/{name}/tokenizer.model"
-        download_file_with_auth(url, token, save_path)
+        files.append("tokenizer.model")
+
+    for file in files:
+        save_path = f"models/tokenizers/{name}/{file}"
+        if os.path.isfile(save_path):
+            logger.info(f"{name}: File {save_path} already exists - skipping")
+            continue
+        download_file_with_auth(f"{repo}/resolve/main/{file}", token, save_path)
+
+
+for model in models:
+    try:
+        download_model(model)
+    except Exception as e:
+        logger.error(f"Failed to download model {model['name']}. Error: {e}")
 
-    url = f"{repo}/raw/main/tokenizer_config.json"
-    save_path = f"models/tokenizers/{name}/tokenizer_config.json"
-    download_file_with_auth(url, token, save_path)
 
 # generate the source code for the convert-hf-to-gguf.py:get_vocab_base_pre() function:
-# TODO: auto-update convert-hf-to-gguf.py with the generated function
 
 src_ifs = ""
 for model in models:
@@ -225,11 +212,18 @@ src_func = f"""
         return res
 """
 
-print(src_func) # noqa: NP100
+convert_py_pth = pathlib.Path("convert-hf-to-gguf.py")
+convert_py = convert_py_pth.read_text()
+convert_py = re.sub(
+    r"(# Marker: Start get_vocab_base_pre)(.+?)( +# Marker: End get_vocab_base_pre)",
+    lambda m: m.group(1) + src_func + m.group(3),
+    convert_py,
+    flags=re.DOTALL | re.MULTILINE,
+)
 
-logger.info("\n")
-logger.info("!!! Copy-paste the function above into convert-hf-to-gguf.py !!!")
-logger.info("\n")
+convert_py_pth.write_text(convert_py)
+
+logger.info("+++ convert-hf-to-gguf.py was updated")
 
 # generate tests for each tokenizer model
 
diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index e0002a011..fe7d8d38c 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -14,6 +14,7 @@ from pathlib import Path
 from hashlib import sha256
 from typing import TYPE_CHECKING, Any, Callable, ContextManager, Iterable, Iterator, Sequence, TypeVar, cast
 
+import math
 import numpy as np
 import torch
 
@@ -24,8 +25,6 @@ if 'NO_LOCAL_GGUF' not in os.environ:
     sys.path.insert(1, str(Path(__file__).parent / 'gguf-py'))
 import gguf
 
-from convert import LlamaHfVocab
-
 logger = logging.getLogger("hf-to-gguf")
 
 
@@ -240,23 +239,6 @@ class Model:
         return False
 
     def write_tensors(self):
-        # same as ggml_compute_fp32_to_bf16 in ggml-impl.h
-        def np_fp32_to_bf16(n: np.ndarray):
-            # force nan to quiet
-            n = np.where((n & 0x7fffffff) > 0x7f800000, (n & 0xffff0000) | (64 << 16), n)
-            # flush subnormals to zero
-            n = np.where((n & 0x7f800000) == 0, n & 0x80000000, n)
-            # round to nearest even
-            n = (n + (0x7fff + ((n >> 16) & 1))) >> 16
-            return n.astype(np.int16)
-
-        # Doing this row-wise is much, much faster than element-wise, hence the signature
-        v_fp32_to_bf16 = np.vectorize(np_fp32_to_bf16, otypes=[np.int16], signature="(n)->(n)")
-        if self.lazy:
-            # TODO: find a way to implicitly wrap np.vectorize functions
-            # NOTE: the type is changed to reflect otypes passed to np.vectorize above
-            v_fp32_to_bf16 = gguf.LazyNumpyTensor._wrap_fn(v_fp32_to_bf16, meta_noop=np.int16)
-
         max_name_len = max(len(s) for _, s in self.tensor_map.mapping.values()) + len(".weight,")
 
         for name, data_torch in self.get_tensors():
@@ -309,27 +291,30 @@ class Model:
                 ))
 
                 if self.ftype != gguf.LlamaFileType.ALL_F32 and extra_f16 and not extra_f32:
-                    if self.ftype == gguf.LlamaFileType.MOSTLY_F16:
+                    if self.ftype == gguf.LlamaFileType.MOSTLY_BF16:
+                        data = gguf.quantize_bf16(data)
+                        assert data.dtype == np.int16
+                        data_qtype = gguf.GGMLQuantizationType.BF16
+
+                    elif self.ftype == gguf.LlamaFileType.MOSTLY_Q8_0 and gguf.can_quantize_to_q8_0(data):
+                        data = gguf.quantize_q8_0(data)
+                        assert data.dtype == np.uint8
+                        data_qtype = gguf.GGMLQuantizationType.Q8_0
+
+                    else:  # default to float16 for quantized tensors
                         if data_dtype != np.float16:
                             data = data.astype(np.float16)
                         data_qtype = gguf.GGMLQuantizationType.F16
 
-                    elif self.ftype == gguf.LlamaFileType.MOSTLY_BF16:
-                        if data_dtype != np.float32:
-                            data = data.astype(np.float32)
-                        data = v_fp32_to_bf16(data.view(np.int32))
-                        assert data.dtype == np.int16
-                        data_qtype = gguf.GGMLQuantizationType.BF16
-
-                else:  # by default, convert to float32
+                if data_qtype is None:  # by default, convert to float32
                     if data_dtype != np.float32:
                         data = data.astype(np.float32)
                     data_qtype = gguf.GGMLQuantizationType.F32
 
-                assert data_qtype is not None
+                shape = gguf.quant_shape_from_byte_shape(data.shape, data_qtype) if data.dtype == np.uint8 else data.shape
 
                 # reverse shape to make it similar to the internal ggml dimension order
-                shape_str = f"{{{', '.join(str(n) for n in reversed(data.shape))}}}"
+                shape_str = f"{{{', '.join(str(n) for n in reversed(shape))}}}"
 
                 # n_dims is implicit in the shape
                 logger.info(f"{f'%-{max_name_len}s' % f'{new_name},'} {old_dtype} --> {data_qtype.name}, shape = {shape_str}")
@@ -415,6 +400,7 @@ class Model:
     # NOTE: this function is generated by convert-hf-to-gguf-update.py
     #       do not modify it manually!
     # ref:  https://github.com/ggerganov/llama.cpp/pull/6920
+    # Marker: Start get_vocab_base_pre
     def get_vocab_base_pre(self, tokenizer) -> str:
         # encoding this string and hashing the resulting tokens would (hopefully) give us a unique identifier that
         # is specific for the BPE pre-tokenizer used by the model
@@ -458,6 +444,9 @@ class Model:
         if chkhsh == "3ce83efda5659b07b1ad37ca97ca5797ea4285d9b9ab0dc679e4a720c9da7454":
             # ref: https://huggingface.co/openai-community/gpt2
             res = "gpt-2"
+        if chkhsh == "32d85c31273f8019248f2559fed492d929ea28b17e51d81d3bb36fff23ca72b3":
+            # ref: https://huggingface.co/stabilityai/stablelm-2-zephyr-1_6b
+            res = "stablelm2"
         if chkhsh == "6221ad2852e85ce96f791f476e0b390cf9b474c9e3d1362f53a24a06dc8220ff":
             # ref: https://huggingface.co/smallcloudai/Refact-1_6-base
             res = "refact"
@@ -482,10 +471,15 @@ class Model:
         if chkhsh == "27949a2493fc4a9f53f5b9b029c82689cfbe5d3a1929bb25e043089e28466de6":
             # ref: https://huggingface.co/jinaai/jina-embeddings-v2-base-de
             res = "jina-v2-de"
+        if chkhsh == "c136ed14d01c2745d4f60a9596ae66800e2b61fa45643e72436041855ad4089d":
+            # ref: https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct
+            res = "smaug-bpe"
+        if chkhsh == "7967bfa498ade6b757b064f31e964dddbb80f8f9a4d68d4ba7998fcf281c531a":
+            # ref: https://huggingface.co/jinaai/jina-embeddings-v2-base-code
+            res = "jina-v2-code"
         if chkhsh == "c7699093ba4255a91e702aa38a596aa81669f3525dae06c2953267dde580f448":
             # ref: https://huggingface.co/jinaai/jina-embeddings-v2-base-zh
             res = "jina-v2-zh"
-
         if res is None:
             logger.warning("\n")
             logger.warning("**************************************************************************************")
@@ -505,6 +499,7 @@ class Model:
         logger.debug(f"chkhsh: {chkhsh}")
 
         return res
+        # Marker: End get_vocab_base_pre
 
     def _set_vocab_gpt2(self) -> None:
         tokens, toktypes, tokpre = self.get_vocab_base()
@@ -542,7 +537,7 @@ class Model:
 
         # for this kind of tokenizer, added_vocab is not a subset of vocab, so they need to be combined
         added_vocab = tokenizer.special_tokens
-        reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in (vocab | added_vocab).items()}
+        reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **added_vocab}.items()}
 
         for i in range(vocab_size):
             if i not in reverse_vocab:
@@ -587,6 +582,10 @@ class Model:
 
         vocab_size = self.hparams.get('vocab_size', tokenizer.vocab_size())
 
+        tokens: list[bytes] = [f"[PAD{i}]".encode("utf-8") for i in range(vocab_size)]
+        scores: list[float] = [-10000.0] * vocab_size
+        toktypes: list[int] = [SentencePieceTokenTypes.UNKNOWN] * vocab_size
+
         for token_id in range(tokenizer.vocab_size()):
             piece = tokenizer.IdToPiece(token_id)
             text = piece.encode("utf-8")
@@ -602,21 +601,23 @@ class Model:
             elif tokenizer.IsByte(token_id):
                 toktype = SentencePieceTokenTypes.BYTE
 
-            tokens.append(text)
-            scores.append(score)
-            toktypes.append(toktype)
+            tokens[token_id] = text
+            scores[token_id] = score
+            toktypes[token_id] = toktype
 
         added_tokens_file = self.dir_model / 'added_tokens.json'
         if added_tokens_file.is_file():
             with open(added_tokens_file, "r", encoding="utf-8") as f:
                 added_tokens_json = json.load(f)
-
                 for key in added_tokens_json:
-                    key = key.encode("utf-8")
-                    if key not in tokens:
-                        tokens.append(key)
-                        scores.append(-1000.0)
-                        toktypes.append(SentencePieceTokenTypes.USER_DEFINED)
+                    token_id = added_tokens_json[key]
+                    if (token_id >= vocab_size):
+                        logger.warning(f'ignore token {token_id}: id is out of range, max={vocab_size - 1}')
+                        continue
+
+                    tokens[token_id] = key.encode("utf-8")
+                    scores[token_id] = -1000.0
+                    toktypes[token_id] = SentencePieceTokenTypes.USER_DEFINED
 
         if vocab_size > len(tokens):
             pad_count = vocab_size - len(tokens)
@@ -626,8 +627,6 @@ class Model:
                 scores.append(-1000.0)
                 toktypes.append(SentencePieceTokenTypes.UNUSED)
 
-        assert len(tokens) == vocab_size
-
         self.gguf_writer.add_tokenizer_model("llama")
         self.gguf_writer.add_tokenizer_pre("default")
         self.gguf_writer.add_token_list(tokens)
@@ -638,7 +637,7 @@ class Model:
         special_vocab.add_to_gguf(self.gguf_writer)
 
     def _set_vocab_llama_hf(self):
-        vocab = LlamaHfVocab(self.dir_model)
+        vocab = gguf.LlamaHfVocab(self.dir_model)
         tokens = []
         scores = []
         toktypes = []
@@ -679,6 +678,44 @@ class GPTNeoXModel(Model):
         self.gguf_writer.add_parallel_residual(self.hparams.get("use_parallel_residual", True))
         self.gguf_writer.add_layer_norm_eps(self.hparams["layer_norm_eps"])
 
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        del bid  # unused
+
+        n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads"))
+        n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed"))
+
+        tensors: list[tuple[str, Tensor]] = []
+
+        if re.match(r"gpt_neox\.layers\.\d+\.attention\.query_key_value\.weight", name):
+            # Map bloom-style qkv_linear to gpt-style qkv_linear
+            # bloom: https://github.com/huggingface/transformers/blob/main/src/transformers/models/bloom/modeling_bloom.py#L238-L252  # noqa
+            # gpt-2: https://github.com/huggingface/transformers/blob/main/src/transformers/models/gpt2/modeling_gpt2.py#L312  # noqa
+            qkv_weights = data_torch.reshape((n_head, 3, n_embed // n_head, n_embed))
+            data_torch = torch.cat(
+                (
+                    qkv_weights[:, 0, :, :].reshape((-1, n_embed)),
+                    qkv_weights[:, 1, :, :].reshape((-1, n_embed)),
+                    qkv_weights[:, 2, :, :].reshape((-1, n_embed)),
+                ),
+                dim=0,
+            )
+            logger.info("re-format attention.linear_qkv.weight")
+        elif re.match(r"gpt_neox\.layers\.\d+\.attention\.query_key_value\.bias", name):
+            qkv_bias = data_torch.reshape((n_head, 3, n_embed // n_head))
+            data_torch = torch.cat(
+                (
+                    qkv_bias[:, 0, :].reshape((n_embed,)),
+                    qkv_bias[:, 1, :].reshape((n_embed,)),
+                    qkv_bias[:, 2, :].reshape((n_embed,)),
+                ),
+                dim=0,
+            )
+            logger.info("re-format attention.linear_qkv.bias")
+
+        tensors.append((self.map_tensor_name(name), data_torch))
+
+        return tensors
+
 
 @Model.register("BloomForCausalLM")
 class BloomModel(Model):
@@ -862,6 +899,7 @@ class BaichuanModel(Model):
         self.gguf_writer.add_head_count(head_count)
         self.gguf_writer.add_head_count_kv(head_count_kv)
         self.gguf_writer.add_layer_norm_rms_eps(self.hparams["rms_norm_eps"])
+        self.gguf_writer.add_file_type(self.ftype)
 
         if self.hparams.get("rope_scaling") is not None and "factor" in self.hparams["rope_scaling"]:
             if self.hparams["rope_scaling"].get("type") == "linear":
@@ -984,6 +1022,7 @@ class XverseModel(Model):
         self.gguf_writer.add_head_count(head_count)
         self.gguf_writer.add_head_count_kv(head_count_kv)
         self.gguf_writer.add_layer_norm_rms_eps(self.hparams["rms_norm_eps"])
+        self.gguf_writer.add_file_type(self.ftype)
 
         if self.hparams.get("rope_scaling") is not None and "factor" in self.hparams["rope_scaling"]:
             if self.hparams["rope_scaling"].get("type") == "linear":
@@ -1153,45 +1192,6 @@ class RefactModel(Model):
         return tensors
 
 
-@Model.register("PersimmonForCausalLM")
-class PersimmonModel(Model):
-    model_arch = gguf.MODEL_ARCH.PERSIMMON
-
-    def set_gguf_parameters(self):
-        block_count = self.hparams.get("num_layers", self.hparams.get("num_hidden_layers"))
-        head_count = self.hparams["num_attention_heads"]
-        head_count_kv = head_count
-        hidden_size = self.hparams["hidden_size"]
-
-        self.gguf_writer.add_name('persimmon-8b-chat')
-        self.gguf_writer.add_context_length(self.hparams["max_position_embeddings"])
-        self.gguf_writer.add_embedding_length(hidden_size)
-        self.gguf_writer.add_block_count(block_count)
-        self.gguf_writer.add_feed_forward_length(self.hparams["intermediate_size"])
-
-        # NOTE: not sure about this change - why does the model not have a rope dimension count when it is smaller
-        #       than the head size?
-        #       ref: https://github.com/ggerganov/llama.cpp/pull/4889
-        # self.gguf_writer.add_rope_dimension_count(hidden_size // head_count)
-        self.gguf_writer.add_rope_dimension_count(hidden_size // head_count // 2)
-
-        self.gguf_writer.add_head_count(head_count)
-        self.gguf_writer.add_head_count_kv(head_count_kv)
-        self.gguf_writer.add_rope_freq_base(self.hparams["rope_theta"])
-        self.gguf_writer.add_layer_norm_eps(self.hparams["layer_norm_eps"])
-
-    def set_vocab(self):
-        self._set_vocab_sentencepiece()
-        # self.gguf_writer.add_bos_token_id(71013)
-        # self.gguf_writer.add_eos_token_id(71013)
-
-    def extra_f32_tensors(self, name: str, new_name: str, bid: int | None, n_dims: int) -> bool:
-        del name, new_name, bid, n_dims  # unused
-
-        # TODO: FP16 conversion produces garbage outputs. (Q8_0 does not, so..?)
-        return True
-
-
 @Model.register("StableLmForCausalLM", "StableLMEpochForCausalLM", "LlavaStableLMEpochForCausalLM")
 class StableLMModel(Model):
     model_arch = gguf.MODEL_ARCH.STABLELM
@@ -1218,6 +1218,7 @@ class StableLMModel(Model):
         self.gguf_writer.add_head_count_kv(hparams["num_key_value_heads"])
         self.gguf_writer.add_parallel_residual(hparams["use_parallel_residual"] if "use_parallel_residual" in hparams else True)
         self.gguf_writer.add_layer_norm_eps(self.find_hparam(["layer_norm_eps", "norm_eps"]))
+        self.gguf_writer.add_file_type(self.ftype)
 
     _q_norms: list[dict[str, Tensor]] | None = None
     _k_norms: list[dict[str, Tensor]] | None = None
@@ -1319,6 +1320,17 @@ class LlamaModel(Model):
                 self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.LINEAR)
                 self.gguf_writer.add_rope_scaling_factor(self.hparams["rope_scaling"]["factor"])
 
+        tokenizer_config_file = self.dir_model / 'tokenizer_config.json'
+        if tokenizer_config_file.is_file():
+            with open(tokenizer_config_file, "r", encoding="utf-8") as f:
+                tokenizer_config_json = json.load(f)
+                if "add_prefix_space" in tokenizer_config_json:
+                    self.gguf_writer.add_add_space_prefix(tokenizer_config_json["add_prefix_space"])
+
+        # Apply to granite small models only
+        if self.hparams.get("vocab_size", 32000) == 49152:
+            self.gguf_writer.add_add_bos_token(False)
+
     @staticmethod
     def permute(weights: Tensor, n_head: int, n_head_kv: int | None):
         if n_head_kv is not None and n_head != n_head_kv:
@@ -1333,9 +1345,9 @@ class LlamaModel(Model):
         n_head = self.hparams["num_attention_heads"]
         n_kv_head = self.hparams.get("num_key_value_heads")
 
-        if name.endswith("q_proj.weight"):
+        if name.endswith(("q_proj.weight", "q_proj.bias")):
             data_torch = LlamaModel.permute(data_torch, n_head, n_head)
-        if name.endswith("k_proj.weight"):
+        if name.endswith(("k_proj.weight", "k_proj.bias")):
             data_torch = LlamaModel.permute(data_torch, n_head, n_kv_head)
 
         # process the experts separately
@@ -1594,6 +1606,7 @@ class QwenModel(Model):
         self.gguf_writer.add_rope_dimension_count(self.hparams["hidden_size"] // self.hparams["num_attention_heads"])
         self.gguf_writer.add_head_count(self.hparams["num_attention_heads"])
         self.gguf_writer.add_layer_norm_rms_eps(self.hparams["layer_norm_epsilon"])
+        self.gguf_writer.add_file_type(self.ftype)
 
 
 @Model.register("Qwen2ForCausalLM")
@@ -1782,6 +1795,38 @@ class Phi3MiniModel(Model):
                     scores[token_id] = -1000.0
                     toktypes[token_id] = SentencePieceTokenTypes.USER_DEFINED
 
+        tokenizer_config_file = self.dir_model / 'tokenizer_config.json'
+        if tokenizer_config_file.is_file():
+            with open(tokenizer_config_file, "r", encoding="utf-8") as f:
+                tokenizer_config_json = json.load(f)
+                added_tokens_decoder = tokenizer_config_json.get("added_tokens_decoder", {})
+                for token_id, foken_data in added_tokens_decoder.items():
+                    token_id = int(token_id)
+                    token = foken_data["content"].encode("utf-8")
+                    if toktypes[token_id] != SentencePieceTokenTypes.UNKNOWN:
+                        assert tokens[token_id] == token
+                    tokens[token_id] = token
+                    scores[token_id] = -1000.0
+                    toktypes[token_id] = SentencePieceTokenTypes.USER_DEFINED
+                    if foken_data.get("special"):
+                        toktypes[token_id] = SentencePieceTokenTypes.CONTROL
+
+        tokenizer_file = self.dir_model / 'tokenizer.json'
+        if tokenizer_file.is_file():
+            with open(tokenizer_file, "r", encoding="utf-8") as f:
+                tokenizer_json = json.load(f)
+                added_tokens = tokenizer_json.get("added_tokens", [])
+                for foken_data in added_tokens:
+                    token_id = int(foken_data["id"])
+                    token = foken_data["content"].encode("utf-8")
+                    if toktypes[token_id] != SentencePieceTokenTypes.UNKNOWN:
+                        assert tokens[token_id] == token
+                    tokens[token_id] = token
+                    scores[token_id] = -1000.0
+                    toktypes[token_id] = SentencePieceTokenTypes.USER_DEFINED
+                    if foken_data.get("special"):
+                        toktypes[token_id] = SentencePieceTokenTypes.CONTROL
+
         self.gguf_writer.add_tokenizer_model("llama")
         self.gguf_writer.add_tokenizer_pre("default")
         self.gguf_writer.add_token_list(tokens)
@@ -1794,23 +1839,59 @@ class Phi3MiniModel(Model):
     def set_gguf_parameters(self):
         block_count = self.find_hparam(["num_hidden_layers", "n_layer"])
 
-        rot_pct = 1.0
         n_embd = self.find_hparam(["hidden_size", "n_embd"])
         n_head = self.find_hparam(["num_attention_heads", "n_head"])
+        n_head_kv = self.find_hparam(["num_key_value_heads", "n_head_kv"])
         rms_eps = self.find_hparam(["rms_norm_eps"])
+        max_pos_embds = self.find_hparam(["n_positions", "max_position_embeddings"])
+        orig_max_pos_embds = self.find_hparam(["original_max_position_embeddings"])
+        rope_dims = n_embd // n_head
 
         self.gguf_writer.add_name("Phi3")
-        self.gguf_writer.add_context_length(self.find_hparam(["n_positions", "max_position_embeddings"]))
-
+        self.gguf_writer.add_context_length(max_pos_embds)
+        self.gguf_writer.add_rope_scaling_orig_ctx_len(orig_max_pos_embds)
         self.gguf_writer.add_embedding_length(n_embd)
-        self.gguf_writer.add_feed_forward_length(8192)
+        self.gguf_writer.add_feed_forward_length(self.find_hparam(["intermediate_size"]))
         self.gguf_writer.add_block_count(block_count)
         self.gguf_writer.add_head_count(n_head)
-        self.gguf_writer.add_head_count_kv(n_head)
+        self.gguf_writer.add_head_count_kv(n_head_kv)
         self.gguf_writer.add_layer_norm_rms_eps(rms_eps)
-        self.gguf_writer.add_rope_dimension_count(int(rot_pct * n_embd) // n_head)
+        self.gguf_writer.add_rope_dimension_count(rope_dims)
+        self.gguf_writer.add_rope_freq_base(self.find_hparam(["rope_theta"]))
         self.gguf_writer.add_file_type(self.ftype)
 
+        # write rope scaling for long context (128k) model
+        rope_scaling = self.find_hparam(['rope_scaling'], True)
+        if (rope_scaling is None):
+            return
+
+        scale = max_pos_embds / orig_max_pos_embds
+
+        rope_scaling_type = rope_scaling.get('type', '').lower()
+        if len(rope_scaling_type) == 0:
+            raise KeyError('Missing the required key rope_scaling.type')
+
+        if rope_scaling_type == 'su':
+            attn_factor = math.sqrt(1 + math.log(scale) / math.log(orig_max_pos_embds)) if scale > 1.0 else 1.0
+        elif rope_scaling_type == 'yarn':
+            attn_factor = 0.1 * math.log(scale) + 1.0 if scale > 1.0 else 1.0
+        else:
+            raise NotImplementedError(f'The rope scaling type {rope_scaling_type} is not supported yet')
+
+        self.gguf_writer.add_rope_scaling_attn_factors(attn_factor)
+
+        long_factors = rope_scaling.get('long_factor', None)
+        short_factors = rope_scaling.get('short_factor', None)
+
+        if long_factors is None or short_factors is None:
+            raise KeyError('Missing the required key rope_scaling.long_factor or rope_scaling_short_factor')
+
+        if len(long_factors) != len(short_factors) or len(long_factors) != rope_dims / 2:
+            raise ValueError(f'The length of rope long and short factors must be {rope_dims / 2}')
+
+        self.gguf_writer.add_tensor(gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.ROPE_FACTORS_LONG]  + ".weight", np.array(long_factors, dtype=np.float32))
+        self.gguf_writer.add_tensor(gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.ROPE_FACTORS_SHORT] + ".weight", np.array(short_factors, dtype=np.float32))
+
 
 @Model.register("PlamoForCausalLM")
 class PlamoModel(Model):
@@ -1831,6 +1912,7 @@ class PlamoModel(Model):
         self.gguf_writer.add_head_count(hparams["num_attention_heads"])
         self.gguf_writer.add_head_count_kv(5)  # hparams["num_key_value_heads"]) is wrong
         self.gguf_writer.add_layer_norm_rms_eps(hparams["rms_norm_eps"])
+        self.gguf_writer.add_file_type(self.ftype)
 
     def shuffle_attn_q_weight(self, data_torch):
         assert data_torch.size() == (5120, 5120)
@@ -2010,6 +2092,7 @@ in chat mode so that the conversation can end normally.")
         self.gguf_writer.add_head_count(self.hparams["num_attention_heads"])
         self.gguf_writer.add_layer_norm_rms_eps(self.hparams["rms_norm_eps"])
         self.gguf_writer.add_head_count_kv(self.hparams["num_key_value_heads"])
+        self.gguf_writer.add_file_type(self.ftype)
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         num_heads = self.hparams["num_attention_heads"]
@@ -2326,7 +2409,8 @@ class CommandR2Model(Model):
 
         # max_position_embeddings = 8192 in config.json but model was actually
         # trained on 128k context length
-        self.hparams["max_position_embeddings"] = self.hparams["model_max_length"]
+        # aya-23 models don't have model_max_length specified
+        self.hparams["max_position_embeddings"] = self.find_hparam(["model_max_length", "max_position_embeddings"])
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
@@ -2372,11 +2456,13 @@ class JinaBertV2Model(BertModel):
 
     def get_tensors(self):
         for name, data in super().get_tensors():
-            if 'gated_layers' in name:
+            if 'gated_layer' in name:
                 d1 = data[:self.intermediate_size, :]
                 name1 = name.replace('gated_layers', 'gated_layers_w')
+                name1 = name1.replace('up_gated_layer', 'gated_layers_v')
                 d2 = data[self.intermediate_size:, :]
                 name2 = name.replace('gated_layers', 'gated_layers_v')
+                name2 = name2.replace('up_gated_layer', 'gated_layers_w')
                 yield name1, d1
                 yield name2, d2
                 continue
@@ -2399,6 +2485,236 @@ class JinaBertV2Model(BertModel):
         self.gguf_writer.add_add_eos_token(True)
 
 
+@Model.register("ArcticForCausalLM")
+class ArcticModel(Model):
+    model_arch = gguf.MODEL_ARCH.ARCTIC
+
+    def set_vocab(self):
+        # The reason for using a custom implementation here is that the
+        # snowflake-arctic-instruct model redefined tokens 31998 and 31999 from
+        # tokenizer.model and used them as BOS and EOS instead of adding new tokens.
+        from sentencepiece import SentencePieceProcessor
+
+        tokenizer_path = self.dir_model / 'tokenizer.model'
+
+        if not tokenizer_path.is_file():
+            logger.error(f'Error: Missing {tokenizer_path}')
+            sys.exit(1)
+
+        # Read the whole vocabulary from the tokenizer.model file
+        tokenizer = SentencePieceProcessor()
+        tokenizer.LoadFromFile(str(tokenizer_path))
+
+        vocab_size = self.hparams.get('vocab_size', tokenizer.vocab_size())
+
+        tokens: list[bytes] = [f"[PAD{i}]".encode("utf-8") for i in range(vocab_size)]
+        scores: list[float] = [-10000.0] * vocab_size
+        toktypes: list[int] = [SentencePieceTokenTypes.UNKNOWN] * vocab_size
+
+        for token_id in range(tokenizer.vocab_size()):
+
+            piece = tokenizer.IdToPiece(token_id)
+            text = piece.encode("utf-8")
+            score = tokenizer.GetScore(token_id)
+
+            toktype = SentencePieceTokenTypes.NORMAL
+            if tokenizer.IsUnknown(token_id):
+                toktype = SentencePieceTokenTypes.UNKNOWN
+            elif tokenizer.IsControl(token_id):
+                toktype = SentencePieceTokenTypes.CONTROL
+            elif tokenizer.IsUnused(token_id):
+                toktype = SentencePieceTokenTypes.UNUSED
+            elif tokenizer.IsByte(token_id):
+                toktype = SentencePieceTokenTypes.BYTE
+
+            tokens[token_id] = text
+            scores[token_id] = score
+            toktypes[token_id] = toktype
+
+        # Use the added_tokens_decoder field from tokeniser_config.json as the source
+        # of information about added/redefined tokens and modify them accordingly.
+        tokenizer_config_file = self.dir_model / 'tokenizer_config.json'
+        if tokenizer_config_file.is_file():
+            with open(tokenizer_config_file, "r", encoding="utf-8") as f:
+                tokenizer_config_json = json.load(f)
+
+                if "added_tokens_decoder" in tokenizer_config_json:
+                    added_tokens_decoder = tokenizer_config_json["added_tokens_decoder"]
+                    for token_id, token_json in added_tokens_decoder.items():
+                        token_id = int(token_id)
+                        if (token_id >= vocab_size):
+                            logger.debug(f'ignore token {token_id}: id is out of range, max={vocab_size - 1}')
+                            continue
+
+                        token_content = token_json["content"]
+                        token_type = SentencePieceTokenTypes.USER_DEFINED
+                        token_score = -10000.0
+
+                        # Map unk_token to UNKNOWN, other special tokens to CONTROL
+                        # Set the score to 0.0 as in the original tokenizer.model
+                        if ("special" in token_json) and token_json["special"]:
+                            if token_content == tokenizer_config_json["unk_token"]:
+                                token_type = SentencePieceTokenTypes.UNKNOWN
+                            else:
+                                token_type = SentencePieceTokenTypes.CONTROL
+                            token_score = 0.0
+
+                        logger.info(f"Setting added token {token_id} to '{token_content}' (type: {token_type}, score: {token_score:.2f})")
+                        tokens[token_id] = token_content.encode("utf-8")
+                        toktypes[token_id] = token_type
+                        scores[token_id] = token_score
+
+        self.gguf_writer.add_tokenizer_model("llama")
+        self.gguf_writer.add_tokenizer_pre("default")
+        self.gguf_writer.add_token_list(tokens)
+        self.gguf_writer.add_token_scores(scores)
+        self.gguf_writer.add_token_types(toktypes)
+
+        special_vocab = gguf.SpecialVocab(self.dir_model, n_vocab=len(tokens))
+        special_vocab.add_to_gguf(self.gguf_writer)
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        hparams = self.hparams
+        self.gguf_writer.add_vocab_size(hparams["vocab_size"])
+        self.gguf_writer.add_rope_dimension_count(hparams["hidden_size"] // hparams["num_attention_heads"])
+
+    _experts: list[dict[str, Tensor]] | None = None
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        n_head = self.hparams["num_attention_heads"]
+        n_kv_head = self.hparams.get("num_key_value_heads")
+
+        if name.endswith("q_proj.weight"):
+            data_torch = LlamaModel.permute(data_torch, n_head, n_head)
+        if name.endswith("k_proj.weight"):
+            data_torch = LlamaModel.permute(data_torch, n_head, n_kv_head)
+
+        # process the experts separately
+        if name.find("block_sparse_moe.experts") != -1:
+            n_experts = self.hparams["num_local_experts"]
+
+            assert bid is not None
+
+            if self._experts is None:
+                self._experts = [{} for _ in range(self.block_count)]
+
+            self._experts[bid][name] = data_torch
+
+            if len(self._experts[bid]) >= n_experts * 3:
+                tensors: list[tuple[str, Tensor]] = []
+
+                # merge the experts into a single 3d tensor
+                for wid in ["w1", "w2", "w3"]:
+                    datas: list[Tensor] = []
+
+                    for xid in range(n_experts):
+                        ename = f"model.layers.{bid}.block_sparse_moe.experts.{xid}.{wid}.weight"
+                        datas.append(self._experts[bid][ename])
+                        del self._experts[bid][ename]
+
+                    data_torch = torch.stack(datas, dim=0)
+
+                    merged_name = f"layers.{bid}.feed_forward.experts.{wid}.weight"
+
+                    new_name = self.map_tensor_name(merged_name)
+
+                    tensors.append((new_name, data_torch))
+                return tensors
+            else:
+                return []
+
+        return [(self.map_tensor_name(name), data_torch)]
+
+    def write_tensors(self):
+        super().write_tensors()
+
+        if self._experts is not None:
+            # flatten `list[dict[str, Tensor]]` into `list[str]`
+            experts = [k for d in self._experts for k in d.keys()]
+            if len(experts) > 0:
+                raise ValueError(f"Unprocessed experts: {experts}")
+
+
+@Model.register("DeepseekV2ForCausalLM")
+class DeepseekV2Model(Model):
+    model_arch = gguf.MODEL_ARCH.DEEPSEEK2
+
+    def set_vocab(self):
+        self._set_vocab_gpt2()
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        hparams = self.hparams
+
+        self.gguf_writer.add_leading_dense_block_count(hparams["first_k_dense_replace"])
+        self.gguf_writer.add_vocab_size(hparams["vocab_size"])
+        if "q_lora_rank" in hparams and hparams["q_lora_rank"] is not None:
+            self.gguf_writer.add_q_lora_rank(hparams["q_lora_rank"])
+        self.gguf_writer.add_kv_lora_rank(hparams["kv_lora_rank"])
+        self.gguf_writer.add_key_length(hparams["qk_nope_head_dim"] + hparams["qk_rope_head_dim"])
+        self.gguf_writer.add_value_length(hparams["v_head_dim"])
+        self.gguf_writer.add_expert_feed_forward_length(hparams["moe_intermediate_size"])
+        self.gguf_writer.add_expert_count(hparams["n_routed_experts"])
+        self.gguf_writer.add_expert_shared_count(hparams["n_shared_experts"])
+        self.gguf_writer.add_expert_weights_scale(hparams["routed_scaling_factor"])
+        self.gguf_writer.add_rope_dimension_count(hparams["qk_rope_head_dim"])
+
+        if self.hparams.get("rope_scaling") is not None and "factor" in self.hparams["rope_scaling"]:
+            if self.hparams["rope_scaling"].get("type") == "yarn":
+                self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.YARN)
+                self.gguf_writer.add_rope_scaling_factor(self.hparams["rope_scaling"]["factor"])
+                self.gguf_writer.add_rope_scaling_orig_ctx_len(self.hparams["rope_scaling"]["original_max_position_embeddings"])
+                self.gguf_writer.add_rope_scaling_yarn_log_mul(0.1 * hparams["rope_scaling"]["mscale_all_dim"])
+
+    _experts: list[dict[str, Tensor]] | None = None
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        # process the experts separately
+        if name.find("mlp.experts") != -1:
+            n_experts = self.hparams["n_routed_experts"]
+            assert bid is not None
+
+            if self._experts is None:
+                self._experts = [{} for _ in range(self.block_count)]
+
+            self._experts[bid][name] = data_torch
+
+            if len(self._experts[bid]) >= n_experts * 3:
+                tensors: list[tuple[str, Tensor]] = []
+
+                # merge the experts into a single 3d tensor
+                for w_name in ["down_proj", "gate_proj", "up_proj"]:
+                    datas: list[Tensor] = []
+
+                    for xid in range(n_experts):
+                        ename = f"model.layers.{bid}.mlp.experts.{xid}.{w_name}.weight"
+                        datas.append(self._experts[bid][ename])
+                        del self._experts[bid][ename]
+
+                    data_torch = torch.stack(datas, dim=0)
+
+                    merged_name = f"model.layers.{bid}.mlp.experts.{w_name}.weight"
+
+                    new_name = self.map_tensor_name(merged_name)
+
+                    tensors.append((new_name, data_torch))
+                return tensors
+            else:
+                return []
+
+        return [(self.map_tensor_name(name), data_torch)]
+
+    def write_tensors(self):
+        super().write_tensors()
+
+        if self._experts is not None:
+            # flatten `list[dict[str, Tensor]]` into `list[str]`
+            experts = [k for d in self._experts for k in d.keys()]
+            if len(experts) > 0:
+                raise ValueError(f"Unprocessed experts: {experts}")
+
+
 ###### CONVERSION LOGIC ######
 
 
@@ -2418,25 +2734,15 @@ class LazyTorchTensor(gguf.LazyBase):
     def numpy(self) -> gguf.LazyNumpyTensor:
         dtype = self._dtype_map[self.dtype]
         return gguf.LazyNumpyTensor(
-            meta=np.lib.stride_tricks.as_strided(np.zeros(1, dtype), self.shape, (0 for _ in self.shape)),
+            meta=gguf.LazyNumpyTensor.meta_with_dtype_and_shape(dtype, self.shape),
             lazy=self._lazy,
             args=(self,),
             func=(lambda s: s[0].numpy())
         )
 
     @classmethod
-    def eager_to_meta(cls, t: Tensor) -> Tensor:
-        if t.is_meta:
-            return t
-        return t.detach().to("meta")
-
-    @classmethod
-    def meta_with_dtype(cls, m: Tensor, dtype: torch.dtype) -> Tensor:
-        m = m.detach()
-        if not m.is_meta:
-            m = m.to("meta")
-        m.dtype = dtype
-        return m
+    def meta_with_dtype_and_shape(cls, dtype: torch.dtype, shape: torch.Size) -> Tensor:
+        return torch.empty(size=shape, dtype=dtype, device="meta")
 
     @classmethod
     def __torch_function__(cls, func, types, args=(), kwargs=None):
@@ -2467,8 +2773,8 @@ def parse_args() -> argparse.Namespace:
         help="path to write to; default: based on input. {ftype} will be replaced by the outtype.",
     )
     parser.add_argument(
-        "--outtype", type=str, choices=["f32", "f16", "bf16", "auto"], default="f16",
-        help="output format - use f32 for float32, f16 for float16, bf16 for bfloat16, auto for the highest-fidelity 16-bit float type depending on the first loaded tensor type",
+        "--outtype", type=str, choices=["f32", "f16", "bf16", "q8_0", "auto"], default="f16",
+        help="output format - use f32 for float32, f16 for float16, bf16 for bfloat16, q8_0 for Q8_0, auto for the highest-fidelity 16-bit float type depending on the first loaded tensor type",
     )
     parser.add_argument(
         "--bigendian", action="store_true",
@@ -2526,6 +2832,7 @@ def main() -> None:
         "f32": gguf.LlamaFileType.ALL_F32,
         "f16": gguf.LlamaFileType.MOSTLY_F16,
         "bf16": gguf.LlamaFileType.MOSTLY_BF16,
+        "q8_0": gguf.LlamaFileType.MOSTLY_Q8_0,
         "auto": gguf.LlamaFileType.GUESSED,
     }
 
@@ -2540,7 +2847,12 @@ def main() -> None:
     hparams = Model.load_hparams(dir_model)
 
     with torch.inference_mode():
-        model_class = Model.from_model_architecture(hparams["architectures"][0])
+        try:
+            model_class = Model.from_model_architecture(hparams["architectures"][0])
+        except NotImplementedError:
+            logger.error(f"Model {hparams['architectures'][0]} is not supported")
+            sys.exit(1)
+
         model_instance = model_class(dir_model, ftype_map[args.outtype], fname_out, args.bigendian, args.use_temp_file, args.no_lazy)
 
         logger.info("Set model parameters")
diff --git a/convert-persimmon-to-gguf.py b/convert-persimmon-to-gguf.py
deleted file mode 100755
index 07dcade74..000000000
--- a/convert-persimmon-to-gguf.py
+++ /dev/null
@@ -1,143 +0,0 @@
-#!/usr/bin/env python3
-from __future__ import annotations
-
-import logging
-import argparse
-import os
-import sys
-from pathlib import Path
-from pprint import pprint
-
-import torch
-from sentencepiece import SentencePieceProcessor
-
-if 'NO_LOCAL_GGUF' not in os.environ:
-    sys.path.insert(1, str(Path(__file__).parent / 'gguf-py'))
-import gguf
-
-logger = logging.getLogger("persimmon-to-gguf")
-
-
-def _flatten_dict(dct, tensors, prefix=None):
-    assert isinstance(dct, dict)
-    for key in dct.keys():
-        new_prefix = prefix + '.' + key if prefix is not None else key
-        if isinstance(dct[key], torch.Tensor):
-            tensors[new_prefix] = dct[key]
-        elif isinstance(dct[key], dict):
-            _flatten_dict(dct[key], tensors, new_prefix)
-        else:
-            raise ValueError(type(dct[key]))
-    return None
-
-
-def _get_sentencepiece_tokenizer_info(dir_model: Path):
-    tokenizer_path = dir_model / 'adept_vocab.model'
-    logger.info('getting sentencepiece tokenizer from', tokenizer_path)
-    tokenizer = SentencePieceProcessor(str(tokenizer_path))
-    logger.info('adding tokens')
-    tokens: list[bytes] = []
-    scores: list[float] = []
-    toktypes: list[int] = []
-
-    for i in range(tokenizer.vocab_size()):
-        text: bytes
-        score: float
-
-        piece = tokenizer.id_to_piece(i)
-        text = piece.encode("utf-8")
-        score = tokenizer.get_score(i)
-
-        toktype = 1
-        if tokenizer.is_unknown(i):
-            toktype = 2
-        if tokenizer.is_control(i):
-            toktype = 3
-        if tokenizer.is_unused(i):
-            toktype = 5
-        if tokenizer.is_byte(i):
-            toktype = 6
-
-        tokens.append(text)
-        scores.append(score)
-        toktypes.append(toktype)
-        pass
-    return tokens, scores, toktypes
-
-
-def main():
-    parser = argparse.ArgumentParser(description="Convert a Persimmon model from Adept (e.g. Persimmon 8b chat) to a GGML compatible file")
-    parser.add_argument("--outfile",             type=Path, help="path to write to; default: based on input")
-    parser.add_argument("--ckpt-path",           type=Path, help="path to persimmon checkpoint .pt file")
-    parser.add_argument("--model-dir",           type=Path, help="directory containing model e.g. 8b_chat_model_release")
-    parser.add_argument("--adept-inference-dir", type=str,  help="path to adept-inference code directory")
-    parser.add_argument("--verbose",  action="store_true",  help="increase output verbosity")
-    args = parser.parse_args()
-    logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
-    sys.path.append(str(args.adept_inference_dir))
-    persimmon_model = torch.load(args.ckpt_path)
-    hparams = persimmon_model['args']
-    pprint(hparams)
-    tensors: dict[str, torch.Tensor] = {}
-    _flatten_dict(persimmon_model['model'], tensors, None)
-
-    arch = gguf.MODEL_ARCH.PERSIMMON
-    gguf_writer = gguf.GGUFWriter(args.outfile, gguf.MODEL_ARCH_NAMES[arch])
-
-    block_count = hparams.num_layers
-    head_count = hparams.num_attention_heads
-    head_count_kv = head_count
-    ctx_length = hparams.seq_length
-    hidden_size = hparams.hidden_size
-
-    gguf_writer.add_name('persimmon-8b-chat')
-    gguf_writer.add_context_length(ctx_length)
-    gguf_writer.add_embedding_length(hidden_size)
-    gguf_writer.add_block_count(block_count)
-    gguf_writer.add_feed_forward_length(hparams.ffn_hidden_size)
-    # ref: https://github.com/ggerganov/llama.cpp/pull/4889/commits/eea19039fc52ea2dbd1aab45b59ab4e3e29a3443
-    gguf_writer.add_rope_dimension_count(hidden_size // head_count // 2)
-    gguf_writer.add_head_count(head_count)
-    gguf_writer.add_head_count_kv(head_count_kv)
-    gguf_writer.add_rope_freq_base(hparams.rotary_emb_base)
-    gguf_writer.add_layer_norm_eps(hparams.layernorm_epsilon)
-
-    tokens, scores, toktypes = _get_sentencepiece_tokenizer_info(args.model_dir)
-    gguf_writer.add_tokenizer_model('llama')
-    gguf_writer.add_tokenizer_pre('default')
-    gguf_writer.add_token_list(tokens)
-    gguf_writer.add_token_scores(scores)
-    gguf_writer.add_token_types(toktypes)
-    gguf_writer.add_bos_token_id(71013)
-    gguf_writer.add_eos_token_id(71013)
-
-    tensor_map = gguf.get_tensor_name_map(arch, block_count)
-    logger.info(tensor_map)
-    for name in tensors.keys():
-        data_torch = tensors[name]
-        if name.endswith(".self_attention.rotary_emb.inv_freq"):
-            continue
-        old_dtype = data_torch.dtype
-        # TODO: FP16 conversion produces garbage outputs. (Q8_0 does not, so..?)
-        data = data_torch.to(torch.float32).squeeze().numpy()
-        new_name = tensor_map.get_name(name, try_suffixes = (".weight", ".bias"))
-        if new_name is None:
-            raise ValueError(f"Can not map tensor '{name}'")
-
-        n_dims = len(data.shape)
-        logger.debug(f"{new_name}, n_dims = {str(n_dims)}, {str(old_dtype)} --> {str(data.dtype)}")
-        gguf_writer.add_tensor(new_name, data)
-    logger.info("gguf: write header")
-    gguf_writer.write_header_to_file()
-    logger.info("gguf: write metadata")
-    gguf_writer.write_kv_data_to_file()
-    logger.info("gguf: write tensors")
-    gguf_writer.write_tensors_to_file()
-
-    gguf_writer.close()
-
-    logger.info(f"gguf: model successfully exported to '{args.outfile}'")
-
-
-if __name__ == '__main__':
-    main()
diff --git a/docs/HOWTO-add-model.md b/docs/HOWTO-add-model.md
index 48769cdf6..138124248 100644
--- a/docs/HOWTO-add-model.md
+++ b/docs/HOWTO-add-model.md
@@ -17,7 +17,7 @@ Also, it is important to check that the examples and main ggml backends (CUDA, M
 ### 1. Convert the model to GGUF
 
 This step is done in python with a `convert` script using the [gguf](https://pypi.org/project/gguf/) library.
-Depending on the model architecture, you can use either [convert.py](../convert.py) or [convert-hf-to-gguf.py](../convert-hf-to-gguf.py).
+Depending on the model architecture, you can use either [convert-hf-to-gguf.py](../convert-hf-to-gguf.py) or [examples/convert-legacy-llama.py](../examples/convert-legacy-llama.py) (for `llama/llama2` models in `.pth` format).
 
 The convert script reads the model configuration, tokenizer, tensor names+data and converts them to GGUF metadata and tensors.
 
diff --git a/docs/debugging-tests.md b/docs/debugging-tests.md
index 51a125e19..18407f688 100644
--- a/docs/debugging-tests.md
+++ b/docs/debugging-tests.md
@@ -1,6 +1,6 @@
 # Debugging Tests Tips
 
-## How to run & debug a specific test without anything else to keep the feedback loop short?
+## How to run & execute or debug a specific test without anything else to keep the feedback loop short?
 
 There is a script called debug-test.sh in the scripts folder whose parameter takes a REGEX and an optional test number.
 
@@ -10,13 +10,27 @@ For example, running the following command will output an interactive list from
 
 It will then build & run in the debugger for you.
 
+To just execute a test and get back a PASS or FAIL message run:
+
 ```bash
 ./scripts/debug-test.sh test-tokenizer
+```
+
+To test in GDB use the `-g` flag to enable gdb test mode.
+
+```bash
+./scripts/debug-test.sh -g test-tokenizer
 
 # Once in the debugger, i.e. at the chevrons prompt, setting a breakpoint could be as follows:
 >>> b main
 ```
 
+To speed up the testing loop, if you know your test number you can just run it similar to below:
+
+```bash
+./scripts/debug-test.sh test 23
+```
+
 For further reference use `debug-test.sh -h` to print help.
 
 &nbsp;
@@ -41,7 +55,7 @@ cmake -DCMAKE_BUILD_TYPE=Debug -DLLAMA_CUDA=1 -DLLAMA_FATAL_WARNINGS=ON ..
 make -j
 ```
 
-#### Step 3.1: Identify Test Command for Debugging
+#### Step 3: Find all tests available that matches REGEX
 
 The output of this command will give you the command & arguments needed to run GDB.
 
@@ -69,11 +83,13 @@ Labels: main
 ...
 ```
 
-So for test #1 we can tell these two pieces of relevant information:
+#### Step 4: Identify Test Command for Debugging
+
+So for test #1 above we can tell these two pieces of relevant information:
 * Test Binary: `~/llama.cpp/build-ci-debug/bin/test-tokenizer-0`
 * Test GGUF Model: `~/llama.cpp/tests/../models/ggml-vocab-llama-spm.gguf`
 
-#### Step 3.2: Run GDB on test command
+#### Step 5: Run GDB on test command
 
 Based on the ctest 'test command' report above we can then run a gdb session via this command below:
 
diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt
index f421769cc..53002f8e1 100644
--- a/examples/CMakeLists.txt
+++ b/examples/CMakeLists.txt
@@ -15,7 +15,6 @@ else()
     add_subdirectory(baby-llama)
     add_subdirectory(batched)
     add_subdirectory(batched-bench)
-    add_subdirectory(beam-search)
     add_subdirectory(benchmark)
     add_subdirectory(convert-llama2c-to-ggml)
     add_subdirectory(embedding)
@@ -49,4 +48,7 @@ else()
         add_subdirectory(server)
     endif()
     add_subdirectory(export-lora)
+    if (LLAMA_RPC)
+        add_subdirectory(rpc)
+    endif()
 endif()
diff --git a/examples/baby-llama/baby-llama.cpp b/examples/baby-llama/baby-llama.cpp
index bf0125e75..4f6c3746a 100644
--- a/examples/baby-llama/baby-llama.cpp
+++ b/examples/baby-llama/baby-llama.cpp
@@ -522,8 +522,8 @@ static struct ggml_tensor * forward(
             // wk   shape [n_embd, n_embd, 1, 1]
             // Qcur shape [n_embd/n_head, n_head, N, 1]
             // Kcur shape [n_embd/n_head, n_head, N, 1]
-            struct ggml_tensor * Qcur = ggml_rope(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wq, cur), n_embd/n_head, n_head, N), KQ_pos, n_rot, 0, 0);
-            struct ggml_tensor * Kcur = ggml_rope(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wk, cur), n_embd/n_head, n_head, N), KQ_pos, n_rot, 0, 0);
+            struct ggml_tensor * Qcur = ggml_rope(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wq, cur), n_embd/n_head, n_head, N), KQ_pos, n_rot, 0);
+            struct ggml_tensor * Kcur = ggml_rope(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wk, cur), n_embd/n_head, n_head, N), KQ_pos, n_rot, 0);
 
             // store key and value to memory
             {
@@ -759,8 +759,8 @@ static struct ggml_tensor * forward_batch(
             // wk   shape [n_embd, n_embd, 1, 1]
             // Qcur shape [n_embd/n_head, n_head, N, n_batch]
             // Kcur shape [n_embd/n_head, n_head, N, n_batch]
-            struct ggml_tensor * Qcur = ggml_rope(ctx0, ggml_reshape_4d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wq, cur), n_embd/n_head, n_head, N, n_batch), KQ_pos, n_rot, 0, 0);
-            struct ggml_tensor * Kcur = ggml_rope(ctx0, ggml_reshape_4d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wk, cur), n_embd/n_head, n_head, N, n_batch), KQ_pos, n_rot, 0, 0);
+            struct ggml_tensor * Qcur = ggml_rope(ctx0, ggml_reshape_4d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wq, cur), n_embd/n_head, n_head, N, n_batch), KQ_pos, n_rot, 0);
+            struct ggml_tensor * Kcur = ggml_rope(ctx0, ggml_reshape_4d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wk, cur), n_embd/n_head, n_head, N, n_batch), KQ_pos, n_rot, 0);
             assert_shape_4d(Qcur, n_embd/n_head, n_head, N, n_batch);
             assert_shape_4d(Kcur, n_embd/n_head, n_head, N, n_batch);
 
@@ -1056,7 +1056,7 @@ static struct ggml_tensor * forward_lora(
                                                         model->layers[il].wqb,
                                                         cur)),
                                                 n_embd/n_head, n_head, N),
-                                            KQ_pos, n_rot, 0, 0);
+                                            KQ_pos, n_rot, 0);
             struct ggml_tensor * Kcur = ggml_rope(ctx0,
                                             ggml_reshape_3d(ctx0,
                                                 ggml_mul_mat(ctx0,
@@ -1065,7 +1065,7 @@ static struct ggml_tensor * forward_lora(
                                                         model->layers[il].wkb,
                                                         cur)),
                                                 n_embd/n_head, n_head, N),
-                                            KQ_pos, n_rot, 0, 0);
+                                            KQ_pos, n_rot, 0);
 
             // store key and value to memory
             {
diff --git a/examples/batched-bench/README.md b/examples/batched-bench/README.md
index bf951baf7..fa4baf640 100644
--- a/examples/batched-bench/README.md
+++ b/examples/batched-bench/README.md
@@ -10,16 +10,16 @@ There are 2 modes of operation:
 - `prompt is shared` - there is a common prompt of size `PP` used by all batches (i.e. `N_KV = PP + B*TG`)
 
 ```bash
-./batched-bench MODEL_PATH [N_KV_MAX] [N_BATCH] [N_UBATCH] [IS_PP_SHARED] [NGL] [MMQ] <PP> <TG> <PL>
+./batched-bench -m model.gguf -c 2048 -b 2048 -ub 512 -npp 128,256,512 -ntg 128,256 -npl 1,2,4,8,16,32 [-pps]
 
 # LLaMA 7B, F16, N_KV_MAX = 16384 (8GB), prompt not shared
-./batched-bench ./models/llama-7b/ggml-model-f16.gguf 16384 2048 512 0 99
+./batched-bench -m ./models/llama-7b/ggml-model-f16.gguf -c 16384 -b 2048 -ub 512 -ngl 99
 
 # LLaMA 7B, Q8_0, N_KV_MAX = 16384 (8GB), prompt is shared
-./batched-bench ./models/llama-7b/ggml-model-q8_0.gguf 16384 2048 512 1 99
+./batched-bench -m ./models/llama-7b/ggml-model-q8_0.gguf -c 16384 -b 2048 -ub 512 -ngl 99 -pps
 
 # custom set of batches
-./batched-bench ./models/llama-7b/ggml-model-q8_0.gguf 2048 512 512 0 999 0 128,256,512 128,256 1,2,4,8,16,32
+./batched-bench -m ./models/llama-7b/ggml-model-q8_0.gguf -c 2048 -b 512 -ub 512 -ngl 999 -npp 128,256,512 -ntg 128,256 -npl 1,2,4,8,16,32
 ```
 
 ## Sample results
diff --git a/examples/batched-bench/batched-bench.cpp b/examples/batched-bench/batched-bench.cpp
index 2924d8116..718f0a61a 100644
--- a/examples/batched-bench/batched-bench.cpp
+++ b/examples/batched-bench/batched-bench.cpp
@@ -28,67 +28,27 @@ static std::vector<int> parse_list(char * p) {
     return ret;
 }
 
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
+
+    LOG_TEE("\nexample usage:\n");
+    LOG_TEE("\n    %s -m model.gguf -c 2048 -b 2048 -ub 512 -npp 128,256,512 -ntg 128,256 -npl 1,2,4,8,16,32 [-pps]\n", argv[0]);
+    LOG_TEE("\n");
+}
+
 int main(int argc, char ** argv) {
     gpt_params params;
 
-    if (argc == 1 || argv[1][0] == '-') {
-        printf("usage: %s MODEL_PATH [N_KV_MAX] [N_BATCH] [N_UBATCH] [FATTN] [IS_PP_SHARED] [NGL] <PP> <TG> <PL>\n" , argv[0]);
-        printf("  <PP>, <TG> and PL are comma-separated lists of numbers without spaces\n\n");
-        printf("  example: %s ggml-model-f16.gguf 2048 2048 512 0 999 128,256,512 128,256 1,2,4,8,16,32\n\n", argv[0]);
-        return 1 ;
+    if (!gpt_params_parse(argc, argv, params)) {
+        print_usage(argc, argv, params);
+        return 1;
     }
 
-    int n_kv_max     = 2048;
-    int n_batch      = 2048;
-    int n_ubatch     = 512;
-    bool flash_attn  = false;
-    int is_pp_shared = 0;
-    int n_gpu_layers = 0;
+    int is_pp_shared = params.is_pp_shared;
 
-    std::vector<int> n_pp = { 128, 256, 512, 1024, 2048, 3584, 7680, };
-    std::vector<int> n_tg = { 128, 256, };
-    std::vector<int> n_pl = { 1, 2, 4, 8, 16, 32, };
-    //std::vector<int> n_pl = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 32, };
-
-    if (argc >= 2) {
-        params.model = argv[1];
-    }
-
-    if (argc >= 3) {
-        n_kv_max = std::atoi(argv[2]);
-    }
-
-    if (argc >= 4) {
-        n_batch = std::atoi(argv[3]);
-    }
-
-    if (argc >= 5) {
-        n_ubatch = std::atoi(argv[4]);
-    }
-
-    if (argc >= 6) {
-        flash_attn = std::atoi(argv[5]);
-    }
-
-    if (argc >= 7) {
-        is_pp_shared = std::atoi(argv[6]);
-    }
-
-    if (argc >= 8) {
-        n_gpu_layers = std::atoi(argv[7]);
-    }
-
-    if (argc >= 9) {
-        n_pp = parse_list(argv[8]);
-    }
-
-    if (argc >= 10) {
-        n_tg = parse_list(argv[9]);
-    }
-
-    if (argc >= 11) {
-        n_pl = parse_list(argv[10]);
-    }
+    std::vector<int> n_pp = params.n_pp;
+    std::vector<int> n_tg = params.n_tg;
+    std::vector<int> n_pl = params.n_pl;
 
     // init LLM
 
@@ -97,12 +57,7 @@ int main(int argc, char ** argv) {
 
     // initialize the model
 
-    llama_model_params model_params = llama_model_default_params();
-
-    const std::vector<float> t_split(llama_max_devices(), 0.0f);
-
-    model_params.n_gpu_layers = n_gpu_layers;
-    model_params.tensor_split = t_split.data();
+    llama_model_params model_params = llama_model_params_from_gpt_params(params);
 
     llama_model * model = llama_load_model_from_file(params.model.c_str(), model_params);
 
@@ -111,16 +66,7 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    llama_context_params ctx_params = llama_context_default_params();
-
-    ctx_params.seed       = 1234;
-    ctx_params.n_ctx      = n_kv_max;
-    ctx_params.n_batch    = n_batch;
-    ctx_params.n_ubatch   = n_ubatch;
-    ctx_params.flash_attn = flash_attn;
-
-    ctx_params.n_threads       = params.n_threads;
-    ctx_params.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch;
+    llama_context_params ctx_params = llama_context_params_from_gpt_params(params);
 
     // ensure enough sequences are available
     ctx_params.n_seq_max = *std::max_element(n_pl.begin(), n_pl.end());
@@ -132,6 +78,8 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
+    const int32_t n_kv_max = llama_n_ctx(ctx);
+
     llama_batch batch = llama_batch_init(n_kv_max, 0, 1);
 
     // decode in batches of ctx_params.n_batch tokens
@@ -175,7 +123,7 @@ int main(int argc, char ** argv) {
     }
 
     LOG_TEE("\n");
-    LOG_TEE("%s: n_kv_max = %d, n_batch = %d, n_ubatch = %d, flash_attn = %d, is_pp_shared = %d, n_gpu_layers = %d, n_threads = %u, n_threads_batch = %u\n", __func__, n_kv_max, n_batch, n_ubatch, flash_attn, is_pp_shared, n_gpu_layers, ctx_params.n_threads, ctx_params.n_threads_batch);
+    LOG_TEE("%s: n_kv_max = %d, n_batch = %d, n_ubatch = %d, flash_attn = %d, is_pp_shared = %d, n_gpu_layers = %d, n_threads = %u, n_threads_batch = %u\n", __func__, n_kv_max, params.n_batch, params.n_ubatch, params.flash_attn, params.is_pp_shared, params.n_gpu_layers, ctx_params.n_threads, ctx_params.n_threads_batch);
     LOG_TEE("\n");
 
     LOG_TEE("|%6s | %6s | %4s | %6s | %8s | %8s | %8s | %8s | %8s | %8s |\n", "PP",     "TG",     "B",    "N_KV",     "T_PP s",   "S_PP t/s", "T_TG s",   "S_TG t/s", "T s",      "S t/s");
diff --git a/examples/batched/README.md b/examples/batched/README.md
index 5d7303317..ed204c308 100644
--- a/examples/batched/README.md
+++ b/examples/batched/README.md
@@ -3,7 +3,7 @@
 The example demonstrates batched generation from a given prompt
 
 ```bash
-./batched ./models/llama-7b-v2/ggml-model-f16.gguf "Hello my name is" 4
+./batched -m ./models/llama-7b-v2/ggml-model-f16.gguf -p "Hello my name is" -np 4
 
 ...
 
diff --git a/examples/batched/batched.cpp b/examples/batched/batched.cpp
index be30d20bf..62d9b144d 100644
--- a/examples/batched/batched.cpp
+++ b/examples/batched/batched.cpp
@@ -7,48 +7,31 @@
 #include <string>
 #include <vector>
 
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
+
+    LOG_TEE("\nexample usage:\n");
+    LOG_TEE("\n    %s -m model.gguf -p \"Hello my name is\" -n 32 -np 4\n", argv[0]);
+    LOG_TEE("\n");
+}
+
 int main(int argc, char ** argv) {
     gpt_params params;
 
-    if (argc == 1 || argv[1][0] == '-') {
-        printf("usage: %s MODEL_PATH [PROMPT] [PARALLEL] [LEN] [NGL]\n" , argv[0]);
-        return 1 ;
+    params.prompt = "Hello my name is";
+    params.n_predict = 32;
+
+    if (!gpt_params_parse(argc, argv, params)) {
+        print_usage(argc, argv, params);
+        return 1;
     }
 
+
     // number of parallel batches
-    int n_parallel = 1;
+    int n_parallel = params.n_parallel;
 
     // total length of the sequences including the prompt
-    int n_len = 32;
-
-    // number of layers to offload to the GPU
-    int n_gpu_layers = 0;
-
-    if (argc >= 2) {
-        params.model = argv[1];
-    }
-
-    if (argc >= 3) {
-        params.prompt = argv[2];
-    }
-
-    if (argc >= 4) {
-        n_parallel = std::atoi(argv[3]);
-    }
-
-    if (argc >= 5) {
-        n_len = std::atoi(argv[4]);
-    }
-
-    if (argc >= 6) {
-        n_gpu_layers = std::atoi(argv[5]);
-    }
-
-    if (params.prompt.empty()) {
-        params.prompt = "Hello my name is";
-    }
-
-    process_escapes(params.prompt);
+    int n_predict = 32;
 
     // init LLM
 
@@ -57,9 +40,7 @@ int main(int argc, char ** argv) {
 
     // initialize the model
 
-    llama_model_params model_params = llama_model_default_params();
-
-    model_params.n_gpu_layers = n_gpu_layers;
+    llama_model_params model_params = llama_model_params_from_gpt_params(params);
 
     llama_model * model = llama_load_model_from_file(params.model.c_str(), model_params);
 
@@ -73,18 +54,14 @@ int main(int argc, char ** argv) {
     std::vector<llama_token> tokens_list;
     tokens_list = ::llama_tokenize(model, params.prompt, true);
 
-    const int n_kv_req = tokens_list.size() + (n_len - tokens_list.size())*n_parallel;
+    const int n_kv_req = tokens_list.size() + (n_predict - tokens_list.size())*n_parallel;
 
     // initialize the context
 
-    llama_context_params ctx_params = llama_context_default_params();
+    llama_context_params ctx_params = llama_context_params_from_gpt_params(params);
 
-    ctx_params.seed  = 1234;
     ctx_params.n_ctx   = n_kv_req;
-    ctx_params.n_batch = std::max(n_len, n_parallel);
-    ctx_params.n_seq_max       = n_parallel;
-    ctx_params.n_threads       = params.n_threads;
-    ctx_params.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch;
+    ctx_params.n_batch = std::max(n_predict, n_parallel);
 
     llama_context * ctx = llama_new_context_with_model(model, ctx_params);
 
@@ -93,9 +70,9 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    const int n_ctx    = llama_n_ctx(ctx);
+    const int n_ctx = llama_n_ctx(ctx);
 
-    LOG_TEE("\n%s: n_len = %d, n_ctx = %d, n_batch = %u, n_parallel = %d, n_kv_req = %d\n", __func__, n_len, n_ctx, ctx_params.n_batch, n_parallel, n_kv_req);
+    LOG_TEE("\n%s: n_predict = %d, n_ctx = %d, n_batch = %u, n_parallel = %d, n_kv_req = %d\n", __func__, n_predict, n_ctx, ctx_params.n_batch, n_parallel, n_kv_req);
 
     // make sure the KV cache is big enough to hold all the prompt and generated tokens
     if (n_kv_req > n_ctx) {
@@ -156,7 +133,7 @@ int main(int argc, char ** argv) {
 
     const auto t_main_start = ggml_time_us();
 
-    while (n_cur <= n_len) {
+    while (n_cur <= n_predict) {
         // prepare the next batch
         llama_batch_clear(batch);
 
@@ -192,7 +169,7 @@ int main(int argc, char ** argv) {
             //const llama_token new_token_id = llama_sample_token_greedy(ctx, &candidates_p);
 
             // is it an end of generation? -> mark the stream as finished
-            if (llama_token_is_eog(model, new_token_id) || n_cur == n_len) {
+            if (llama_token_is_eog(model, new_token_id) || n_cur == n_predict) {
                 i_batch[i] = -1;
                 LOG_TEE("\n");
                 if (n_parallel > 1) {
diff --git a/examples/beam-search/CMakeLists.txt b/examples/beam-search/CMakeLists.txt
deleted file mode 100644
index f0e37468b..000000000
--- a/examples/beam-search/CMakeLists.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-set(TARGET beam-search)
-add_executable(${TARGET} beam-search.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_11)
diff --git a/examples/beam-search/beam-search.cpp b/examples/beam-search/beam-search.cpp
deleted file mode 100644
index 3d34378a5..000000000
--- a/examples/beam-search/beam-search.cpp
+++ /dev/null
@@ -1,188 +0,0 @@
-#include "common.h"
-#include "llama.h"
-
-#include <cassert>
-#include <cinttypes>
-#include <cmath>
-#include <cstdio>
-#include <cstring>
-#include <ctime>
-#include <fstream>
-#include <iostream>
-#include <string>
-#include <vector>
-
-#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
-#include <signal.h>
-#include <unistd.h>
-#elif defined (_WIN32)
-#define WIN32_LEAN_AND_MEAN
-#ifndef NOMINMAX
-#   define NOMINMAX
-#endif
-#include <windows.h>
-#include <signal.h>
-#endif
-
-// Used for debugging to print out beam tokens.
-struct ostream_beam_view {
-    llama_context * ctx;
-    llama_beam_view beam_view;
-};
-
-static std::ostream & operator<<(std::ostream & os, const ostream_beam_view & obv) {
-    os << "p(" << obv.beam_view.p << ") eob(" << std::boolalpha << obv.beam_view.eob << ") tokens(";
-    for (size_t i = 0 ; i < obv.beam_view.n_tokens ; ++i) {
-        os << llama_token_to_piece(obv.ctx, obv.beam_view.tokens[i]);
-    }
-    return os << ')';
-}
-
-// Put here anything you want back in beam_search_callback().
-struct beam_search_callback_data {
-    llama_context * ctx;
-    std::vector<llama_token> response;
-};
-
-// In this case, end-of-beam (eob) is equivalent to end-of-sentence (eos) but this need not always be the same.
-// For example, eob can be flagged due to maximum token length, stop words, etc.
-static bool is_at_eob(const beam_search_callback_data & callback_data, const llama_token * tokens, size_t n_tokens) {
-    return n_tokens && llama_token_is_eog(llama_get_model(callback_data.ctx), tokens[n_tokens-1]);
-}
-
-// Function matching type llama_beam_search_callback_fn_t.
-// Custom callback example is called each time the beams lengths increase:
-//  * Show progress by printing ',' following by number of convergent beam tokens if any.
-//  * When all beams converge to a common prefix, they are made available in beams_state.beams[0].
-//    This is also called when the stop condition is met.
-//    Collect tokens into std::vector<llama_token> response which is pointed to by callback_data.
-static void beam_search_callback(void * callback_data_ptr, llama_beams_state beams_state) {
-    auto& callback_data = *static_cast<beam_search_callback_data*>(callback_data_ptr);
-    // Mark beams as EOS as needed.
-    for (size_t i = 0 ; i < beams_state.n_beams ; ++i) {
-        llama_beam_view& beam_view = beams_state.beam_views[i];
-        if (!beam_view.eob && is_at_eob(callback_data, beam_view.tokens, beam_view.n_tokens)) {
-            beam_view.eob = true;
-        }
-    }
-    printf(",");  // Show progress
-    if (const size_t n = beams_state.common_prefix_length) {
-        callback_data.response.resize(callback_data.response.size() + n);
-        assert(0u < beams_state.n_beams);
-        const llama_token * tokens = beams_state.beam_views[0].tokens;
-        std::copy(tokens, tokens + n, callback_data.response.end() - n);
-        printf("%zu", n);
-    }
-    fflush(stdout);
-#if 1 // DEBUG: print current beams for this iteration
-    std::cout << "\n\nCurrent beams (last_call=" << beams_state.last_call << "):\n";
-    for (size_t i = 0 ; i < beams_state.n_beams ; ++i) {
-        std::cout << "beams["<<i<<"]: " << ostream_beam_view{callback_data.ctx,beams_state.beam_views[i]} << std::endl;
-    }
-#endif
-}
-
-int main(int argc, char ** argv)
-{
-    gpt_params params;
-    //params.n_gpu_layers = 200;
-
-    //---------------------------------
-    // Print help :
-    //---------------------------------
-
-    if ( argc < 2 || argv[1][0] == '-' )
-    {
-        printf( "Usage: %s MODEL_PATH [BEAM_WIDTH=2] [PROMPT]\n" , argv[0] );
-        return 1 ;
-    }
-
-    //---------------------------------
-    // Load parameters :
-    //---------------------------------
-
-    params.model = argv[1];
-
-    params.n_beams = 2 < argc ? std::stoi(argv[2]) : 2;
-
-    if ( argc > 3 )
-    {
-        params.prompt = argv[3];
-    }
-
-    if ( params.prompt.empty() )
-    {
-        params.prompt = "### Request:\nHow many countries are there?\n\n### Response:\n";
-    }
-
-    //---------------------------------
-    // Init LLM :
-    //---------------------------------
-
-    llama_backend_init();
-    llama_numa_init(params.numa);
-
-    llama_model * model;
-    llama_context * ctx;
-
-    std::tie(model, ctx) = llama_init_from_gpt_params( params );
-
-    if ( model == NULL )
-    {
-        fprintf( stderr , "%s: error: unable to load model\n" , __func__ );
-        return 1;
-    }
-
-    //---------------------------------
-    // Tokenize the prompt :
-    //---------------------------------
-
-    std::vector<llama_token> tokens_list = llama_tokenize(ctx, params.prompt, true);
-
-    const size_t max_context_size     = llama_n_ctx( ctx );
-    const size_t max_tokens_list_size = max_context_size - 4 ;
-
-    if (tokens_list.size() > max_tokens_list_size)
-    {
-        fprintf( stderr , "%s: error: prompt too long (%zu tokens, max %zu)\n" ,
-             __func__ , tokens_list.size() , max_tokens_list_size );
-        return 1;
-    }
-
-    fprintf( stderr, "\n\n" );
-
-    // Print the tokens from the prompt :
-
-    for( auto id : tokens_list )
-    {
-        std::cout << llama_token_to_piece(ctx, id);
-    }
-    std::cout << std::flush;
-
-    int n_past = 0;
-
-    if (llama_decode(ctx, llama_batch_get_one(tokens_list.data(), tokens_list.size(), n_past, 0)))
-    {
-        fprintf(stderr, "%s : failed to eval prompt.\n" , __func__ );
-        return 1;
-    }
-    n_past += tokens_list.size();
-
-    beam_search_callback_data callback_data{ctx, {}};
-    size_t const beam_width = static_cast<size_t>(params.n_beams);
-    int const n_predict = 256;
-    llama_beam_search(ctx, beam_search_callback, &callback_data, beam_width, n_past, n_predict);
-
-    std::cout << "\n\n";
-    for (llama_token const token_id : callback_data.response) {
-        std::cout << llama_token_to_piece(ctx,token_id);
-    }
-    std::cout << std::endl;
-
-    llama_free( ctx );
-    llama_free_model( model );
-
-    llama_backend_free();
-
-    return 0;
-}
diff --git a/convert.py b/examples/convert-legacy-llama.py
similarity index 81%
rename from convert.py
rename to examples/convert-legacy-llama.py
index e2e642351..721a57c00 100755
--- a/convert.py
+++ b/examples/convert-legacy-llama.py
@@ -24,14 +24,16 @@ from abc import ABC, abstractmethod
 from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor
 from dataclasses import dataclass
 from pathlib import Path
-from typing import TYPE_CHECKING, Any, Callable, ClassVar, IO, Iterable, Literal, Protocol, TypeVar, runtime_checkable, Optional
+from typing import TYPE_CHECKING, Any, Callable, IO, Iterable, Literal, TypeVar, Optional
 
 import numpy as np
-from sentencepiece import SentencePieceProcessor
 
 if 'NO_LOCAL_GGUF' not in os.environ:
-    sys.path.insert(1, str(Path(__file__).parent / 'gguf-py'))
+    # use .parent.parent since we are in "examples" directory
+    sys.path.insert(1, str(Path(__file__).parent.parent / 'gguf-py'))
+
 import gguf
+from gguf import BaseVocab, Vocab, NoVocab, BpeVocab, SentencePieceVocab, LlamaHfVocab
 
 if TYPE_CHECKING:
     from typing_extensions import Self, TypeAlias
@@ -174,7 +176,7 @@ class Params:
     rope_scaling_type: gguf.RopeScalingType | None = None
     f_rope_freq_base: float | None = None
     f_rope_scale: float | None = None
-    n_orig_ctx: int | None = None
+    n_ctx_orig: int | None = None
     rope_finetuned: bool | None = None
 
     ftype: GGMLFileType | None = None
@@ -224,7 +226,7 @@ class Params:
         with open(config_path) as f:
             config = json.load(f)
 
-        rope_scaling_type = f_rope_scale = n_orig_ctx = rope_finetuned = None
+        rope_scaling_type = f_rope_scale = n_ctx_orig = rope_finetuned = None
         rope_scaling = config.get("rope_scaling")
 
         if rope_scaling is not None and (typ := rope_scaling.get("type")):
@@ -234,7 +236,7 @@ class Params:
                 rope_scaling_type = gguf.RopeScalingType.LINEAR
             elif typ == "yarn":
                 rope_scaling_type = gguf.RopeScalingType.YARN
-                n_orig_ctx = rope_scaling['original_max_position_embeddings']
+                n_ctx_orig = rope_scaling['original_max_position_embeddings']
                 rope_finetuned = rope_scaling['finetuned']
             else:
                 raise NotImplementedError(f'Unknown rope scaling type: {typ}')
@@ -270,7 +272,7 @@ class Params:
             f_rope_freq_base  = config.get("rope_theta"),
             rope_scaling_type = rope_scaling_type,
             f_rope_scale      = f_rope_scale,
-            n_orig_ctx        = n_orig_ctx,
+            n_ctx_orig        = n_ctx_orig,
             rope_finetuned    = rope_finetuned,
         )
 
@@ -380,306 +382,6 @@ class Metadata:
         return metadata
 
 
-#
-# vocab
-#
-
-
-@runtime_checkable
-class BaseVocab(Protocol):
-    tokenizer_model: ClassVar[str]
-    name: ClassVar[str]
-
-
-class NoVocab(BaseVocab):
-    tokenizer_model = "no_vocab"
-    name = "no_vocab"
-
-    def __repr__(self) -> str:
-        return "<NoVocab for a model without integrated vocabulary>"
-
-
-@runtime_checkable
-class Vocab(BaseVocab, Protocol):
-    vocab_size: int
-    added_tokens_dict: dict[str, int]
-    added_tokens_list: list[str]
-    fname_tokenizer: Path
-
-    def __init__(self, base_path: Path): ...
-    def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]: ...
-
-
-class BpeVocab(Vocab):
-    tokenizer_model = "gpt2"
-    name = "bpe"
-
-    def __init__(self, base_path: Path):
-        added_tokens: dict[str, int] = {}
-
-        if (fname_tokenizer := base_path / 'vocab.json').exists():
-            # "slow" tokenizer
-            with open(fname_tokenizer, encoding="utf-8") as f:
-                self.vocab = json.load(f)
-
-            try:
-                # FIXME: Verify that added tokens here _cannot_ overlap with the main vocab.
-                with open(base_path / ADDED_TOKENS_FILE, encoding="utf-8") as f:
-                    added_tokens = json.load(f)
-            except FileNotFoundError:
-                pass
-        else:
-            # "fast" tokenizer
-            fname_tokenizer = base_path / FAST_TOKENIZER_FILE
-
-            # if this fails, FileNotFoundError propagates to caller
-            with open(fname_tokenizer, encoding="utf-8") as f:
-                tokenizer_json = json.load(f)
-
-            tokenizer_model: dict[str, Any] = tokenizer_json['model']
-            if (
-                tokenizer_model['type'] != 'BPE' or tokenizer_model.get('byte_fallback', False)
-                or tokenizer_json['decoder']['type'] != 'ByteLevel'
-            ):
-                raise FileNotFoundError('Cannot find GPT-2 BPE tokenizer')
-
-            self.vocab = tokenizer_model["vocab"]
-
-            if (added := tokenizer_json.get('added_tokens')) is not None:
-                # Added tokens here can be duplicates of the main vocabulary.
-                added_tokens = {item['content']: item['id']
-                                for item in added
-                                if item['content'] not in self.vocab}
-
-        vocab_size   = len(self.vocab)
-        expected_ids = list(range(vocab_size, vocab_size + len(added_tokens)))
-        actual_ids   = sorted(added_tokens.values())
-        if expected_ids != actual_ids:
-            expected_end_id = vocab_size + len(actual_ids) - 1
-            raise ValueError(f"Expected the {len(actual_ids)} added token ID(s) to be sequential in the range "
-                             f"{vocab_size} - {expected_end_id}; got {actual_ids}")
-
-        items = sorted(added_tokens.items(), key=lambda text_idx: text_idx[1])
-        self.added_tokens_dict    = added_tokens
-        self.added_tokens_list    = [text for (text, idx) in items]
-        self.vocab_size_base      = vocab_size
-        self.vocab_size           = self.vocab_size_base + len(self.added_tokens_list)
-        self.fname_tokenizer      = fname_tokenizer
-
-    def bpe_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        reverse_vocab = {id: encoded_tok for encoded_tok, id in self.vocab.items()}
-
-        for i, _ in enumerate(self.vocab):
-            yield reverse_vocab[i], 0.0, gguf.TokenType.NORMAL
-
-    def added_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        for text in self.added_tokens_list:
-            score = -1000.0
-            yield text.encode("utf-8"), score, gguf.TokenType.CONTROL
-
-    def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        yield from self.bpe_tokens()
-        yield from self.added_tokens()
-
-    def __repr__(self) -> str:
-        return f"<BpeVocab with {self.vocab_size_base} base tokens and {len(self.added_tokens_list)} added tokens>"
-
-
-class SentencePieceVocab(Vocab):
-    tokenizer_model = "llama"
-    name = "spm"
-
-    def __init__(self, base_path: Path):
-        added_tokens: dict[str, int] = {}
-        if (fname_tokenizer := base_path / 'tokenizer.model').exists():
-            # normal location
-            try:
-                with open(base_path / ADDED_TOKENS_FILE, encoding="utf-8") as f:
-                    added_tokens = json.load(f)
-            except FileNotFoundError:
-                pass
-        elif not (fname_tokenizer := base_path.parent / 'tokenizer.model').exists():
-            # not found in alternate location either
-            raise FileNotFoundError('Cannot find tokenizer.model')
-
-        self.sentencepiece_tokenizer = SentencePieceProcessor()
-        self.sentencepiece_tokenizer.LoadFromFile(str(fname_tokenizer))
-        vocab_size = self.sentencepiece_tokenizer.vocab_size()
-
-        new_tokens       = {id: piece for piece, id in added_tokens.items() if id >= vocab_size}
-        expected_new_ids = list(range(vocab_size, vocab_size + len(new_tokens)))
-        actual_new_ids   = sorted(new_tokens.keys())
-
-        if expected_new_ids != actual_new_ids:
-            raise ValueError(f"Expected new token IDs {expected_new_ids} to be sequential; got {actual_new_ids}")
-
-        # Token pieces that were added to the base vocabulary.
-        self.added_tokens_dict  = added_tokens
-        self.added_tokens_list  = [new_tokens[id] for id in actual_new_ids]
-        self.vocab_size_base    = vocab_size
-        self.vocab_size         = self.vocab_size_base + len(self.added_tokens_list)
-        self.fname_tokenizer    = fname_tokenizer
-
-    def sentencepiece_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        tokenizer = self.sentencepiece_tokenizer
-        for i in range(tokenizer.vocab_size()):
-            piece = tokenizer.IdToPiece(i)
-            text         = piece.encode("utf-8")
-            score: float = tokenizer.GetScore(i)
-
-            toktype = gguf.TokenType.NORMAL
-            if tokenizer.IsUnknown(i):
-                toktype = gguf.TokenType.UNKNOWN
-            if tokenizer.IsControl(i):
-                toktype = gguf.TokenType.CONTROL
-
-            # NOTE: I think added_tokens are user defined.
-            # ref: https://github.com/google/sentencepiece/blob/master/src/sentencepiece_model.proto
-            # if tokenizer.is_user_defined(i): toktype = gguf.TokenType.USER_DEFINED
-
-            if tokenizer.IsUnused(i):
-                toktype = gguf.TokenType.UNUSED
-            if tokenizer.IsByte(i):
-                toktype = gguf.TokenType.BYTE
-
-            yield text, score, toktype
-
-    def added_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        for text in self.added_tokens_list:
-            score = -1000.0
-            yield text.encode("utf-8"), score, gguf.TokenType.USER_DEFINED
-
-    def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        yield from self.sentencepiece_tokens()
-        yield from self.added_tokens()
-
-    def __repr__(self) -> str:
-        return f"<SentencePieceVocab with {self.vocab_size_base} base tokens and {len(self.added_tokens_list)} added tokens>"
-
-
-class LlamaHfVocab(Vocab):
-    tokenizer_model = "llama"
-    name = "hfft"
-
-    def __init__(self, base_path: Path):
-        fname_tokenizer = base_path / FAST_TOKENIZER_FILE
-        # if this fails, FileNotFoundError propagates to caller
-        with open(fname_tokenizer, encoding='utf-8') as f:
-            tokenizer_json = json.load(f)
-
-        # pre-check so we know if we need transformers
-        tokenizer_model: dict[str, Any] = tokenizer_json['model']
-        is_llama3 = (
-            tokenizer_model['type'] == 'BPE' and tokenizer_model.get('ignore_merges', False)
-            and not tokenizer_model.get('byte_fallback', True)
-        )
-        if is_llama3:
-            raise TypeError('Llama 3 must be converted with BpeVocab')
-
-        if not is_llama3 and (
-            tokenizer_model['type'] != 'BPE' or not tokenizer_model.get('byte_fallback', False)
-            or tokenizer_json['decoder']['type'] != 'Sequence'
-        ):
-            raise FileNotFoundError('Cannot find Llama BPE tokenizer')
-
-        try:
-            from transformers import AutoTokenizer
-        except ImportError as e:
-            raise ImportError(
-                "To use LlamaHfVocab, please install the `transformers` package. "
-                "You can install it with `pip install transformers`."
-            ) from e
-
-        # Allow the tokenizer to default to slow or fast versions.
-        # Explicitly set tokenizer to use local paths.
-        self.tokenizer = AutoTokenizer.from_pretrained(
-            base_path,
-            cache_dir=base_path,
-            local_files_only=True,
-        )
-        assert self.tokenizer.is_fast  # assume tokenizer.json is used
-
-        # Initialize lists and dictionaries for added tokens
-        self.added_tokens_list = []
-        self.added_tokens_dict = dict()
-        self.added_tokens_ids  = set()
-
-        # Process added tokens
-        for tok, tokidx in sorted(
-            self.tokenizer.get_added_vocab().items(), key=lambda x: x[1]
-        ):
-            # Only consider added tokens that are not in the base vocabulary
-            if tokidx >= self.tokenizer.vocab_size:
-                self.added_tokens_list.append(tok)
-                self.added_tokens_dict[tok] = tokidx
-                self.added_tokens_ids.add(tokidx)
-
-        # Store special tokens and their IDs
-        self.specials = {
-            tok: self.tokenizer.get_vocab()[tok]
-            for tok in self.tokenizer.all_special_tokens
-        }
-        self.special_ids = set(self.tokenizer.all_special_ids)
-
-        # Set vocabulary sizes
-        self.vocab_size_base = self.tokenizer.vocab_size
-        self.vocab_size      = self.vocab_size_base + len(self.added_tokens_list)
-
-        self.fname_tokenizer = fname_tokenizer
-
-    def hf_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        reverse_vocab = {
-            id: encoded_tok for encoded_tok, id in self.tokenizer.get_vocab().items()
-        }
-
-        for token_id in range(self.vocab_size_base):
-            # Skip processing added tokens here
-            if token_id in self.added_tokens_ids:
-                continue
-
-            # Convert token text to bytes
-            token_text = reverse_vocab[token_id].encode("utf-8")
-
-            # Yield token text, score, and type
-            yield token_text, self.get_token_score(token_id), self.get_token_type(
-                token_id, token_text, self.special_ids  # Reuse already stored special IDs
-            )
-
-    def get_token_type(self, token_id: int, token_text: bytes, special_ids: set[int]) -> gguf.TokenType:
-        # Special case for byte tokens
-        if re.fullmatch(br"<0x[0-9A-Fa-f]{2}>", token_text):
-            return gguf.TokenType.BYTE
-
-        # Determine token type based on whether it's a special token
-        return gguf.TokenType.CONTROL if token_id in special_ids else gguf.TokenType.NORMAL
-
-    def get_token_score(self, token_id: int) -> float:
-        # Placeholder for actual logic to determine the token's score
-        # This needs to be implemented based on specific requirements
-        return -1000.0  # Default score
-
-    def added_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        for text in self.added_tokens_list:
-            if text in self.specials:
-                toktype = self.get_token_type(self.specials[text], b'', self.special_ids)
-                score = self.get_token_score(self.specials[text])
-            else:
-                toktype = gguf.TokenType.USER_DEFINED
-                score = -1000.0
-
-            yield text.encode("utf-8"), score, toktype
-
-    def has_newline_token(self):
-        return "<0x0A>" in self.tokenizer.vocab or "\n" in self.tokenizer.vocab
-
-    def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        yield from self.hf_tokens()
-        yield from self.added_tokens()
-
-    def __repr__(self) -> str:
-        return f"<LlamaHfVocab with {self.vocab_size_base} base tokens and {len(self.added_tokens_list)} added tokens>"
-
-
 #
 # data loading
 # TODO: reuse (probably move to gguf.py?)
@@ -1109,7 +811,7 @@ class OutputFile:
         if metadata is not None and metadata.name is not None:
             name = metadata.name
         elif params.path_model is not None:
-            name = str(params.path_model.parent).split("/")[-1]
+            name = params.path_model.name
         elif params.n_ctx == 4096:
             # Heuristic detection of LLaMA v2 model
             name = "LLaMA v2"
@@ -1162,8 +864,8 @@ class OutputFile:
             self.gguf.add_rope_scaling_type(params.rope_scaling_type)
             self.gguf.add_rope_scaling_factor(params.f_rope_scale)
 
-        if params.n_orig_ctx is not None:
-            self.gguf.add_rope_scaling_orig_ctx_len(params.n_orig_ctx)
+        if params.n_ctx_orig is not None:
+            self.gguf.add_rope_scaling_orig_ctx_len(params.n_ctx_orig)
 
         if params.rope_finetuned is not None:
             self.gguf.add_rope_scaling_finetuned(params.rope_finetuned)
diff --git a/examples/convert-llama2c-to-ggml/convert-llama2c-to-ggml.cpp b/examples/convert-llama2c-to-ggml/convert-llama2c-to-ggml.cpp
index 746c3fbef..8ca9f8915 100644
--- a/examples/convert-llama2c-to-ggml/convert-llama2c-to-ggml.cpp
+++ b/examples/convert-llama2c-to-ggml/convert-llama2c-to-ggml.cpp
@@ -774,7 +774,7 @@ static struct train_params get_default_train_params() {
 
     params.samples_start_after_nl = false;
     params.use_adam               = true;
-    params.use_flash              = true;
+    params.use_flash              = false;
     params.use_scratch            = true;
 
     // only adam
diff --git a/examples/embedding/embedding.cpp b/examples/embedding/embedding.cpp
index c85a2da53..244751e00 100644
--- a/examples/embedding/embedding.cpp
+++ b/examples/embedding/embedding.cpp
@@ -63,6 +63,7 @@ int main(int argc, char ** argv) {
     gpt_params params;
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
@@ -79,9 +80,6 @@ int main(int argc, char ** argv) {
     fprintf(stderr, "%s: seed  = %u\n", __func__, params.seed);
 
     std::mt19937 rng(params.seed);
-    if (params.random_prompt) {
-        params.prompt = gpt_random_prompt(rng);
-    }
 
     llama_backend_init();
     llama_numa_init(params.numa);
@@ -107,7 +105,7 @@ int main(int argc, char ** argv) {
     // print system information
     {
         fprintf(stderr, "\n");
-        fprintf(stderr, "%s\n", get_system_info(params).c_str());
+        fprintf(stderr, "%s\n", gpt_params_get_system_info(params).c_str());
     }
 
     // split the prompt into lines
@@ -211,6 +209,7 @@ int main(int argc, char ** argv) {
 
     // clean up
     llama_print_timings(ctx);
+    llama_batch_free(batch);
     llama_free(ctx);
     llama_free_model(model);
     llama_backend_free();
diff --git a/examples/eval-callback/eval-callback.cpp b/examples/eval-callback/eval-callback.cpp
index e670d3769..64cd338c2 100644
--- a/examples/eval-callback/eval-callback.cpp
+++ b/examples/eval-callback/eval-callback.cpp
@@ -140,20 +140,18 @@ static bool run(llama_context * ctx, const gpt_params & params) {
 }
 
 int main(int argc, char ** argv) {
-
     callback_data cb_data;
 
     gpt_params params;
+
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
     print_build_info();
 
     std::mt19937 rng(params.seed);
-    if (params.random_prompt) {
-        params.prompt = gpt_random_prompt(rng);
-    }
 
     llama_backend_init();
     llama_numa_init(params.numa);
@@ -176,7 +174,7 @@ int main(int argc, char ** argv) {
     // print system information
     {
         fprintf(stderr, "\n");
-        fprintf(stderr, "%s\n", get_system_info(params).c_str());
+        fprintf(stderr, "%s\n", gpt_params_get_system_info(params).c_str());
     }
 
     bool OK = run(ctx, params);
diff --git a/examples/finetune/finetune.cpp b/examples/finetune/finetune.cpp
index 22743b1bf..71a4333ee 100644
--- a/examples/finetune/finetune.cpp
+++ b/examples/finetune/finetune.cpp
@@ -563,8 +563,8 @@ static struct ggml_tensor * llama_build_lora_finetune_graphs(
         // not capturing these, to silcence warnings
         const int rope_mode = 0;
 
-        return ggml_rope_custom(ctx,
-            t, KQ_pos, n_rot, rope_mode, n_ctx, 0,
+        return ggml_rope_ext(ctx,
+            t, KQ_pos, nullptr, n_rot, rope_mode, n_ctx,
             rope_freq_base, rope_freq_scale, 0.0f, 1.0f, 0.0f, 0.0f
         );
     };
@@ -643,7 +643,8 @@ static struct ggml_tensor * llama_build_lora_finetune_graphs(
         struct ggml_tensor * t15 = ggml_permute      (ctx, t12, 0, 3, 1, 2);                         set_name(t15, "t15");     assert_shape_4d(t15, N, n_embd_head, n_head_kv, n_batch);
         struct ggml_tensor * t16;
         if (enable_flash_attn) {
-            t16 = ggml_flash_attn(ctx, t13, t14, t15, true);                                         set_name(t16, "t16");     assert_shape_4d(t16, n_embd_head, N, n_head, n_batch);
+            GGML_ASSERT(false && "TODO: ggml_flash_attn_ext() not yet supported");
+            //t16 = ggml_flash_attn(ctx, t13, t14, t15, true);                                         set_name(t16, "t16");     assert_shape_4d(t16, n_embd_head, N, n_head, n_batch);
         } else {
             struct ggml_tensor * t16_0 = ggml_mul_mat              (ctx, t14, t13);                  set_name(t16_0, "t16_0"); assert_shape_4d(t16_0, N, N, n_head, n_batch);
             struct ggml_tensor * t16_1 = ggml_scale_inplace        (ctx, t16_0, kv_scale);           set_name(t16_1, "t16_1"); assert_shape_4d(t16_1, N, N, n_head, n_batch);
diff --git a/examples/gguf-split/tests.sh b/examples/gguf-split/tests.sh
index 7ca6fa7f2..3bc0fa471 100755
--- a/examples/gguf-split/tests.sh
+++ b/examples/gguf-split/tests.sh
@@ -41,7 +41,7 @@ echo PASS
 echo
 
 # 2b. Test the sharded model is loading properly
-$MAIN --model $WORK_PATH/ggml-model-split-00001-of-00006.gguf --random-prompt --n-predict 32
+$MAIN --model $WORK_PATH/ggml-model-split-00001-of-00006.gguf --n-predict 32
 echo PASS
 echo
 
@@ -51,7 +51,7 @@ echo PASS
 echo
 
 # 3b. Test the merged model is loading properly
-$MAIN --model $WORK_PATH/ggml-model-merge.gguf --random-prompt --n-predict 32
+$MAIN --model $WORK_PATH/ggml-model-merge.gguf --n-predict 32
 echo PASS
 echo
 
@@ -61,7 +61,7 @@ echo PASS
 echo
 
 # 4b. Test the sharded model is loading properly
-$MAIN --model $WORK_PATH/ggml-model-split-32-tensors-00001-of-00007.gguf --random-prompt --n-predict 32
+$MAIN --model $WORK_PATH/ggml-model-split-32-tensors-00001-of-00007.gguf --n-predict 32
 echo PASS
 echo
 
@@ -71,7 +71,7 @@ echo
 #echo
 
 # 5b. Test the merged model is loading properly
-#$MAIN --model $WORK_PATH/ggml-model-merge-2.gguf --random-prompt --n-predict 32
+#$MAIN --model $WORK_PATH/ggml-model-merge-2.gguf --n-predict 32
 #echo PASS
 #echo
 
@@ -81,7 +81,7 @@ echo PASS
 echo
 
 # 6b. Test the sharded model is loading properly
-$MAIN --model $WORK_PATH/ggml-model-split-2G-00001-of-00002.gguf --random-prompt --n-predict 32
+$MAIN --model $WORK_PATH/ggml-model-split-2G-00001-of-00002.gguf --n-predict 32
 echo PASS
 echo
 
diff --git a/examples/gritlm/gritlm.cpp b/examples/gritlm/gritlm.cpp
index 52fd719b3..213515791 100644
--- a/examples/gritlm/gritlm.cpp
+++ b/examples/gritlm/gritlm.cpp
@@ -153,7 +153,9 @@ static std::string gritlm_instruction(const std::string & instruction) {
 
 int main(int argc, char * argv[]) {
     gpt_params params;
+
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
diff --git a/examples/imatrix/imatrix.cpp b/examples/imatrix/imatrix.cpp
index 82b19fc4f..e050c09d2 100644
--- a/examples/imatrix/imatrix.cpp
+++ b/examples/imatrix/imatrix.cpp
@@ -533,7 +533,6 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params, bool
 }
 
 int main(int argc, char ** argv) {
-
     StatParams sparams;
     std::string prev_result_file;
     std::string combine_files;
@@ -581,7 +580,9 @@ int main(int argc, char ** argv) {
 
     gpt_params params;
     params.n_batch = 512;
-    if (!gpt_params_parse(args.size(), args.data(), params)) {
+
+    if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
@@ -597,9 +598,6 @@ int main(int argc, char ** argv) {
     fprintf(stderr, "%s: seed  = %u\n", __func__, params.seed);
 
     std::mt19937 rng(params.seed);
-    if (params.random_prompt) {
-        params.prompt = gpt_random_prompt(rng);
-    }
 
     sparams.dataset = params.prompt_file;
     g_collector.set_parameters(std::move(sparams));
@@ -667,7 +665,7 @@ int main(int argc, char ** argv) {
     // print system information
     {
         fprintf(stderr, "\n");
-        fprintf(stderr, "%s\n", get_system_info(params).c_str());
+        fprintf(stderr, "%s\n", gpt_params_get_system_info(params).c_str());
     }
 
     bool OK = compute_imatrix(ctx, params, compute_ppl, from_chunk);
diff --git a/examples/infill/infill.cpp b/examples/infill/infill.cpp
index afac145f6..0e4ec79c6 100644
--- a/examples/infill/infill.cpp
+++ b/examples/infill/infill.cpp
@@ -50,9 +50,9 @@ static void write_logfile(
         return;
     }
 
-    const std::string timestamp = get_sortable_timestamp();
+    const std::string timestamp = string_get_sortable_timestamp();
 
-    const bool success = create_directory_with_parents(params.logdir);
+    const bool success = fs_create_directory_with_parents(params.logdir);
     if (!success) {
         fprintf(stderr, "%s: warning: failed to create logdir %s, cannot write logfile\n",
                 __func__, params.logdir.c_str());
@@ -70,7 +70,7 @@ static void write_logfile(
     fprintf(logfile, "binary: infill\n");
     char model_desc[128];
     llama_model_desc(model, model_desc, sizeof(model_desc));
-    dump_non_result_info_yaml(logfile, params, ctx, timestamp, input_tokens, model_desc);
+    yaml_dump_non_result_info(logfile, params, ctx, timestamp, input_tokens, model_desc);
 
     fprintf(logfile, "\n");
     fprintf(logfile, "######################\n");
@@ -78,8 +78,8 @@ static void write_logfile(
     fprintf(logfile, "######################\n");
     fprintf(logfile, "\n");
 
-    dump_string_yaml_multiline(logfile, "output", output.c_str());
-    dump_vector_int_yaml(logfile, "output_tokens", output_tokens);
+    yaml_dump_string_multiline(logfile, "output", output.c_str());
+    yaml_dump_vector_int(logfile, "output_tokens", output_tokens);
 
     llama_dump_timing_info_yaml(logfile, ctx);
     fclose(logfile);
@@ -107,6 +107,7 @@ int main(int argc, char ** argv) {
     g_params = &params;
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
@@ -139,27 +140,6 @@ int main(int argc, char ** argv) {
         LOG_TEE("%s: warning: minimum context size is 8, using minimum size.\n", __func__);
         params.n_ctx = 8;
     }
-    if (params.instruct) {
-        printf("\n************\n");
-        printf("%s: please use the 'main' tool for instruct mode\n", __func__);
-        printf("************\n\n");
-
-        return 0;
-    }
-    if (params.chatml) {
-        printf("\n************\n");
-        printf("%s: please use the 'main' tool for chatml mode\n", __func__);
-        printf("************\n\n");
-
-        return 0;
-    }
-    if (!params.antiprompt.empty()) {
-        printf("\n************\n");
-        printf("%s: please use the 'main' tool for antiprompt mode\n", __func__);
-        printf("************\n\n");
-
-        return 0;
-    }
     if (!params.interactive_first && (params.input_prefix.empty() && params.input_suffix.empty())) {
         printf("\n************\n");
         printf("%s: please use '--interactive_first' or specify '--in_prefix' and/or '--in_suffix'\n", __func__);
@@ -167,20 +147,6 @@ int main(int argc, char ** argv) {
 
         return 0;
     }
-    if (params.random_prompt) {
-        printf("\n************\n");
-        printf("%s: please use the 'main' tool for random prompt mode\n", __func__);
-        printf("************\n\n");
-
-        return 0;
-    }
-    if (!params.path_prompt_cache.empty()) {
-        printf("\n************\n");
-        printf("%s: infill does not support prompt caching\n", __func__);
-        printf("************\n\n");
-
-        return 0;
-    }
 
     if (params.rope_freq_base != 0.0) {
         LOG_TEE("%s: warning: changing RoPE frequency base to %g.\n", __func__, params.rope_freq_base);
@@ -207,17 +173,13 @@ int main(int argc, char ** argv) {
 
     llama_model * model;
     llama_context * ctx;
-    llama_context * ctx_guidance = NULL;
+
     g_model = &model;
     g_ctx = &ctx;
 
     // load the model and apply lora adapter, if any
     LOG("%s: load the model and apply lora adapter, if any\n", __func__);
     std::tie(model, ctx) = llama_init_from_gpt_params(params);
-    if (sparams.cfg_scale > 1.f) {
-        struct llama_context_params lparams = llama_context_params_from_gpt_params(params);
-        ctx_guidance = llama_new_context_with_model(model, lparams);
-    }
 
     if (model == NULL) {
         LOG_TEE("%s: error: unable to load model\n", __func__);
@@ -236,7 +198,7 @@ int main(int argc, char ** argv) {
     // print system information
     {
         LOG_TEE("\n");
-        LOG_TEE("%s\n", get_system_info(params).c_str());
+        LOG_TEE("%s\n", gpt_params_get_system_info(params).c_str());
     }
     const bool add_bos = llama_should_add_bos_token(model);
     GGML_ASSERT(llama_add_eos_token(model) != 1);
@@ -273,25 +235,6 @@ int main(int argc, char ** argv) {
         LOG("embd_inp was considered empty and bos was added: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, embd_inp).c_str());
     }
 
-    // Tokenize negative prompt
-    std::vector<llama_token> guidance_inp;
-    int guidance_offset = 0;
-    int original_prompt_len = 0;
-    if (ctx_guidance) {
-        LOG("cfg_negative_prompt: \"%s\"\n", log_tostr(sparams.cfg_negative_prompt));
-
-        guidance_inp = ::llama_tokenize(ctx_guidance, sparams.cfg_negative_prompt, true);
-        LOG("guidance_inp tokenized: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx_guidance, guidance_inp).c_str());
-
-        std::vector<llama_token> original_inp = ::llama_tokenize(ctx, params.prompt, true);
-        LOG("original_inp tokenized: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, original_inp).c_str());
-
-        original_prompt_len = original_inp.size();
-        guidance_offset = (int)guidance_inp.size() - original_prompt_len;
-        LOG("original_prompt_len: %s", log_tostr(original_prompt_len));
-        LOG("guidance_offset:     %s", log_tostr(guidance_offset));
-    }
-
     if ((int) embd_inp.size() > n_ctx - 4) {
         LOG_TEE("%s: error: prompt is too long (%d tokens, max %d)\n", __func__, (int) embd_inp.size(), n_ctx - 4);
         return 1;
@@ -319,15 +262,6 @@ int main(int argc, char ** argv) {
             LOG_TEE("%6d -> '%s'\n", embd_inp[i], llama_token_to_piece(ctx, embd_inp[i]).c_str());
         }
 
-        if (ctx_guidance) {
-            LOG_TEE("\n");
-            LOG_TEE("%s: negative prompt: '%s'\n", __func__, sparams.cfg_negative_prompt.c_str());
-            LOG_TEE("%s: number of tokens in negative prompt = %zu\n", __func__, guidance_inp.size());
-            for (int i = 0; i < (int) guidance_inp.size(); i++) {
-                LOG_TEE("%6d -> '%s'\n", guidance_inp[i], llama_token_to_piece(ctx, guidance_inp[i]).c_str());
-            }
-        }
-
         if (params.n_keep > 0) {
         LOG_TEE("%s: static prompt based on n_keep: '", __func__);
             for (int i = 0; i < params.n_keep; i++) {
@@ -395,12 +329,11 @@ int main(int argc, char ** argv) {
         is_interacting = params.interactive_first;
     }
 
-    bool input_echo           = true;
+    bool input_echo = true;
 
-    int n_past             = 0;
-    int n_remain           = params.n_predict;
-    int n_consumed         = 0;
-    int n_past_guidance    = 0;
+    int n_past     = 0;
+    int n_remain   = params.n_predict;
+    int n_consumed = 0;
 
     std::vector<int>   input_tokens;  g_input_tokens  = &input_tokens;
     std::vector<int>   output_tokens; g_output_tokens = &output_tokens;
@@ -410,7 +343,6 @@ int main(int argc, char ** argv) {
     console::set_display(console::prompt);
 
     std::vector<llama_token> embd;
-    std::vector<llama_token> embd_guidance;
 
     struct llama_sampling_context * ctx_sampling = llama_sampling_init(sparams);
 
@@ -436,7 +368,7 @@ int main(int argc, char ** argv) {
             // if we run out of context:
             // - take the n_keep first tokens from the original prompt (via n_past)
             // - take half of the last (n_ctx - n_keep) tokens and recompute the logits in batches
-            if (n_past + (int) embd.size() + std::max<int>(0, guidance_offset) > n_ctx) {
+            if (n_past + (int) embd.size() > n_ctx) {
                 if (params.n_predict == -2) {
                     LOG_TEE("\n\n%s: context full and n_predict == -%d => stopping\n", __func__, params.n_predict);
                     break;
@@ -453,11 +385,7 @@ int main(int argc, char ** argv) {
 
                 n_past -= n_discard;
 
-                if (ctx_guidance) {
-                    n_past_guidance -= n_discard;
-                }
-
-                LOG("after swap: n_past = %d, n_past_guidance = %d\n", n_past, n_past_guidance);
+                LOG("after swap: n_past = %d\n", n_past);
 
                 LOG("embd: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, embd).c_str());
 
@@ -465,45 +393,6 @@ int main(int argc, char ** argv) {
 
             // evaluate tokens in batches
             // embd is typically prepared beforehand to fit within a batch, but not always
-
-            if (ctx_guidance) {
-                int input_size = 0;
-                llama_token * input_buf = NULL;
-
-                if (n_past_guidance < (int) guidance_inp.size()) {
-                    // Guidance context should have the same data with these modifications:
-                    //
-                    // * Replace the initial prompt
-                    // * Shift everything by guidance_offset
-                    embd_guidance = guidance_inp;
-                    if (embd.begin() + original_prompt_len < embd.end()) {
-                        embd_guidance.insert(
-                            embd_guidance.end(),
-                            embd.begin() + original_prompt_len,
-                            embd.end()
-                        );
-                    }
-
-                    input_buf  = embd_guidance.data();
-                    input_size = embd_guidance.size();
-
-                    LOG("guidance context: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, embd_guidance).c_str());
-                } else {
-                    input_buf  = embd.data();
-                    input_size = embd.size();
-                }
-
-                for (int i = 0; i < input_size; i += params.n_batch) {
-                    int n_eval = std::min(input_size - i, params.n_batch);
-                    if (llama_decode(ctx_guidance, llama_batch_get_one(input_buf + i, n_eval, n_past_guidance, 0))) {
-                        LOG_TEE("%s : failed to eval\n", __func__);
-                        return 1;
-                    }
-
-                    n_past_guidance += n_eval;
-                }
-            }
-
             for (int i = 0; i < (int) embd.size(); i += params.n_batch) {
                 int n_eval = (int) embd.size() - i;
                 if (n_eval > params.n_batch) {
@@ -525,11 +414,9 @@ int main(int argc, char ** argv) {
         }
 
         embd.clear();
-        embd_guidance.clear();
 
         if ((int) embd_inp.size() <= n_consumed && !is_interacting) {
-
-            const llama_token id = llama_sampling_sample(ctx_sampling, ctx, ctx_guidance);
+            const llama_token id = llama_sampling_sample(ctx_sampling, ctx, nullptr);
 
             llama_sampling_accept(ctx_sampling, ctx, id, true);
 
@@ -583,7 +470,6 @@ int main(int argc, char ** argv) {
 
         // if not currently processing queued inputs;
         if ((int) embd_inp.size() <= n_consumed) {
-
             // deal with eot token in infill mode
             if ((llama_sampling_last(ctx_sampling) == llama_token_eot(model) || is_interacting) && params.interactive){
                 if (is_interacting && !params.interactive_first) {
@@ -621,8 +507,8 @@ int main(int argc, char ** argv) {
 
                 if (params.escape) {
                     //process escape sequences, for the initial prompt this is done in common.cpp when we load the params, but for the interactive mode we need to do it here
-                    process_escapes(params.input_prefix);
-                    process_escapes(params.input_suffix);
+                    string_process_escapes(params.input_prefix);
+                    string_process_escapes(params.input_suffix);
                 }
                 suff_rm_leading_spc = params.escape;
                 if (suff_rm_leading_spc && params.input_suffix.find_first_of(' ') == 0 && params.input_suffix.size() > 1) {
@@ -644,7 +530,6 @@ int main(int argc, char ** argv) {
                 embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
                 embd_inp.push_back(llama_token_middle(model));
                 embd.clear();
-                embd_guidance.clear();
                 n_remain = params.n_predict;
                 n_past = 0;
                 n_consumed = 0;
@@ -751,7 +636,6 @@ int main(int argc, char ** argv) {
     llama_print_timings(ctx);
     write_logfile(ctx, params, model, input_tokens, output_ss.str(), output_tokens);
 
-    if (ctx_guidance) { llama_free(ctx_guidance); }
     llama_free(ctx);
     llama_free_model(model);
 
diff --git a/examples/llama-bench/README.md b/examples/llama-bench/README.md
index 857840564..fd95b35f4 100644
--- a/examples/llama-bench/README.md
+++ b/examples/llama-bench/README.md
@@ -162,7 +162,7 @@ $ ./llama-bench -o csv
 ```
 
 ```csv
-build_commit,build_number,cuda,opencl,metal,gpu_blas,blas,cpu_info,gpu_info,model_filename,model_type,model_size,model_n_params,n_batch,n_threads,f16_kv,n_gpu_layers,main_gpu,mul_mat_q,tensor_split,n_prompt,n_gen,test_time,avg_ns,stddev_ns,avg_ts,stddev_ts
+build_commit,build_number,cuda,metal,gpu_blas,blas,cpu_info,gpu_info,model_filename,model_type,model_size,model_n_params,n_batch,n_threads,f16_kv,n_gpu_layers,main_gpu,mul_mat_q,tensor_split,n_prompt,n_gen,test_time,avg_ns,stddev_ns,avg_ts,stddev_ts
 "3469684","1275","1","0","0","1","1","13th Gen Intel(R) Core(TM) i9-13900K","NVIDIA GeForce RTX 3090 Ti","models/7B/ggml-model-q4_0.gguf","llama 7B mostly Q4_0","3825065984","6738415616","512","16","1","99","0","1","0.00","512","0","2023-09-23T12:09:01Z","212155977","732372","2413.341687","8.305961"
 "3469684","1275","1","0","0","1","1","13th Gen Intel(R) Core(TM) i9-13900K","NVIDIA GeForce RTX 3090 Ti","models/7B/ggml-model-q4_0.gguf","llama 7B mostly Q4_0","3825065984","6738415616","512","16","1","99","0","1","0.00","0","128","2023-09-23T12:09:02Z","969320879","2728399","132.052051","0.371342"
 ```
@@ -179,7 +179,6 @@ $ ./llama-bench -o json
     "build_commit": "3469684",
     "build_number": 1275,
     "cuda": true,
-    "opencl": false,
     "metal": false,
     "gpu_blas": true,
     "blas": true,
@@ -210,7 +209,6 @@ $ ./llama-bench -o json
     "build_commit": "3469684",
     "build_number": 1275,
     "cuda": true,
-    "opencl": false,
     "metal": false,
     "gpu_blas": true,
     "blas": true,
@@ -253,7 +251,6 @@ CREATE TABLE IF NOT EXISTS test (
   build_commit TEXT,
   build_number INTEGER,
   cuda INTEGER,
-  opencl INTEGER,
   metal INTEGER,
   gpu_blas INTEGER,
   blas INTEGER,
@@ -279,6 +276,6 @@ CREATE TABLE IF NOT EXISTS test (
   stddev_ts REAL
 );
 
-INSERT INTO test (build_commit, build_number, cuda, opencl, metal, gpu_blas, blas, cpu_info, gpu_info, model_filename, model_type, model_size, model_n_params, n_batch, n_threads, f16_kv, n_gpu_layers, main_gpu, mul_mat_q, tensor_split, n_prompt, n_gen, test_time, avg_ns, stddev_ns, avg_ts, stddev_ts) VALUES ('3469684', '1275', '1', '0', '0', '1', '1', '13th Gen Intel(R) Core(TM) i9-13900K', 'NVIDIA GeForce RTX 3090 Ti', 'models/7B/ggml-model-q4_0.gguf', 'llama 7B mostly Q4_0', '3825065984', '6738415616', '512', '16', '1', '99', '0', '1', '0.00', '512', '0', '2023-09-23T12:10:30Z', '212693772', '743623', '2407.240204', '8.409634');
-INSERT INTO test (build_commit, build_number, cuda, opencl, metal, gpu_blas, blas, cpu_info, gpu_info, model_filename, model_type, model_size, model_n_params, n_batch, n_threads, f16_kv, n_gpu_layers, main_gpu, mul_mat_q, tensor_split, n_prompt, n_gen, test_time, avg_ns, stddev_ns, avg_ts, stddev_ts) VALUES ('3469684', '1275', '1', '0', '0', '1', '1', '13th Gen Intel(R) Core(TM) i9-13900K', 'NVIDIA GeForce RTX 3090 Ti', 'models/7B/ggml-model-q4_0.gguf', 'llama 7B mostly Q4_0', '3825065984', '6738415616', '512', '16', '1', '99', '0', '1', '0.00', '0', '128', '2023-09-23T12:10:31Z', '977925003', '4037361', '130.891159', '0.537692');
+INSERT INTO test (build_commit, build_number, cuda, metal, gpu_blas, blas, cpu_info, gpu_info, model_filename, model_type, model_size, model_n_params, n_batch, n_threads, f16_kv, n_gpu_layers, main_gpu, mul_mat_q, tensor_split, n_prompt, n_gen, test_time, avg_ns, stddev_ns, avg_ts, stddev_ts) VALUES ('3469684', '1275', '1', '0', '0', '1', '1', '13th Gen Intel(R) Core(TM) i9-13900K', 'NVIDIA GeForce RTX 3090 Ti', 'models/7B/ggml-model-q4_0.gguf', 'llama 7B mostly Q4_0', '3825065984', '6738415616', '512', '16', '1', '99', '0', '1', '0.00', '512', '0', '2023-09-23T12:10:30Z', '212693772', '743623', '2407.240204', '8.409634');
+INSERT INTO test (build_commit, build_number, cuda, metal, gpu_blas, blas, cpu_info, gpu_info, model_filename, model_type, model_size, model_n_params, n_batch, n_threads, f16_kv, n_gpu_layers, main_gpu, mul_mat_q, tensor_split, n_prompt, n_gen, test_time, avg_ns, stddev_ns, avg_ts, stddev_ts) VALUES ('3469684', '1275', '1', '0', '0', '1', '1', '13th Gen Intel(R) Core(TM) i9-13900K', 'NVIDIA GeForce RTX 3090 Ti', 'models/7B/ggml-model-q4_0.gguf', 'llama 7B mostly Q4_0', '3825065984', '6738415616', '512', '16', '1', '99', '0', '1', '0.00', '0', '128', '2023-09-23T12:10:31Z', '977925003', '4037361', '130.891159', '0.537692');
 ```
diff --git a/examples/llama-bench/llama-bench.cpp b/examples/llama-bench/llama-bench.cpp
index 8b965e199..5c31548a6 100644
--- a/examples/llama-bench/llama-bench.cpp
+++ b/examples/llama-bench/llama-bench.cpp
@@ -41,20 +41,6 @@ static std::string join(const std::vector<T> & values, const std::string & delim
     return str.str();
 }
 
-template<class T>
-static std::vector<T> split(const std::string & str, char delim) {
-    std::vector<T> values;
-    std::istringstream str_stream(str);
-    std::string token;
-    while (std::getline(str_stream, token, delim)) {
-        T value;
-        std::istringstream token_stream(token);
-        token_stream >> value;
-        values.push_back(value);
-    }
-    return values;
-}
-
 template<typename T, typename F>
 static std::vector<std::string> transform_to_str(const std::vector<T> & values, F f) {
     std::vector<std::string> str_values;
@@ -140,10 +126,11 @@ static std::string get_gpu_info() {
 }
 
 // command line params
-enum output_formats {CSV, JSON, MARKDOWN, SQL};
+enum output_formats {NONE, CSV, JSON, MARKDOWN, SQL};
 
 static const char * output_format_str(output_formats format) {
     switch (format) {
+        case NONE:     return "none";
         case CSV:      return "csv";
         case JSON:     return "json";
         case MARKDOWN: return "md";
@@ -152,6 +139,23 @@ static const char * output_format_str(output_formats format) {
     }
 }
 
+static bool output_format_from_str(const std::string & s, output_formats & format) {
+    if (s == "none") {
+        format = NONE;
+    } else if (s == "csv") {
+        format = CSV;
+    } else if (s == "json") {
+        format = JSON;
+    } else if (s == "md") {
+        format = MARKDOWN;
+    } else if (s == "sql") {
+        format = SQL;
+    } else {
+        return false;
+    }
+    return true;
+}
+
 static const char * split_mode_str(llama_split_mode mode) {
     switch (mode) {
         case LLAMA_SPLIT_MODE_NONE:  return "none";
@@ -178,6 +182,7 @@ struct cmd_params {
     std::vector<ggml_type> type_v;
     std::vector<int> n_threads;
     std::vector<int> n_gpu_layers;
+    std::vector<std::string> rpc_servers;
     std::vector<llama_split_mode> split_mode;
     std::vector<int> main_gpu;
     std::vector<bool> no_kv_offload;
@@ -189,30 +194,33 @@ struct cmd_params {
     int reps;
     bool verbose;
     output_formats output_format;
+    output_formats output_format_stderr;
 };
 
 static const cmd_params cmd_params_defaults = {
-    /* model         */ {"models/7B/ggml-model-q4_0.gguf"},
-    /* n_prompt      */ {512},
-    /* n_gen         */ {128},
-    /* n_pg          */ {{512, 128}},
-    /* n_batch       */ {2048},
-    /* n_ubatch      */ {512},
-    /* type_k        */ {GGML_TYPE_F16},
-    /* type_v        */ {GGML_TYPE_F16},
-    /* n_threads     */ {get_math_cpu_count()},
-    /* n_gpu_layers  */ {99},
-    /* split_mode    */ {LLAMA_SPLIT_MODE_LAYER},
-    /* main_gpu      */ {0},
-    /* no_kv_offload */ {false},
-    /* flash_attn    */ {false},
-    /* tensor_split  */ {std::vector<float>(llama_max_devices(), 0.0f)},
-    /* use_mmap      */ {true},
-    /* embeddings    */ {false},
-    /* numa          */ GGML_NUMA_STRATEGY_DISABLED,
-    /* reps          */ 5,
-    /* verbose       */ false,
-    /* output_format */ MARKDOWN
+    /* model                */ {"models/7B/ggml-model-q4_0.gguf"},
+    /* n_prompt             */ {512},
+    /* n_gen                */ {128},
+    /* n_pg                 */ {},
+    /* n_batch              */ {2048},
+    /* n_ubatch             */ {512},
+    /* type_k               */ {GGML_TYPE_F16},
+    /* type_v               */ {GGML_TYPE_F16},
+    /* n_threads            */ {cpu_get_num_math()},
+    /* n_gpu_layers         */ {99},
+    /* rpc_servers          */ {""},
+    /* split_mode           */ {LLAMA_SPLIT_MODE_LAYER},
+    /* main_gpu             */ {0},
+    /* no_kv_offload        */ {false},
+    /* flash_attn           */ {false},
+    /* tensor_split         */ {std::vector<float>(llama_max_devices(), 0.0f)},
+    /* use_mmap             */ {true},
+    /* embeddings           */ {false},
+    /* numa                 */ GGML_NUMA_STRATEGY_DISABLED,
+    /* reps                 */ 5,
+    /* verbose              */ false,
+    /* output_format        */ MARKDOWN,
+    /* output_format_stderr */ NONE,
 };
 
 static void print_usage(int /* argc */, char ** argv) {
@@ -230,6 +238,7 @@ static void print_usage(int /* argc */, char ** argv) {
     printf("  -ctv, --cache-type-v <t>            (default: %s)\n", join(transform_to_str(cmd_params_defaults.type_v, ggml_type_name), ",").c_str());
     printf("  -t, --threads <n>                   (default: %s)\n", join(cmd_params_defaults.n_threads, ",").c_str());
     printf("  -ngl, --n-gpu-layers <n>            (default: %s)\n", join(cmd_params_defaults.n_gpu_layers, ",").c_str());
+    printf("  -rpc, --rpc <rpc_servers>           (default: %s)\n", join(cmd_params_defaults.rpc_servers, ",").c_str());
     printf("  -sm, --split-mode <none|layer|row>  (default: %s)\n", join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str());
     printf("  -mg, --main-gpu <i>                 (default: %s)\n", join(cmd_params_defaults.main_gpu, ",").c_str());
     printf("  -nkvo, --no-kv-offload <0|1>        (default: %s)\n", join(cmd_params_defaults.no_kv_offload, ",").c_str());
@@ -240,6 +249,7 @@ static void print_usage(int /* argc */, char ** argv) {
     printf("  -ts, --tensor-split <ts0/ts1/..>    (default: 0)\n");
     printf("  -r, --repetitions <n>               (default: %d)\n", cmd_params_defaults.reps);
     printf("  -o, --output <csv|json|md|sql>      (default: %s)\n", output_format_str(cmd_params_defaults.output_format));
+    printf("  -oe, --output-err <csv|json|md|sql> (default: %s)\n", output_format_str(cmd_params_defaults.output_format_stderr));
     printf("  -v, --verbose                       (default: %s)\n", cmd_params_defaults.verbose ? "1" : "0");
     printf("\n");
     printf("Multiple values can be given for each parameter by separating them with ',' or by specifying the parameter multiple times.\n");
@@ -281,6 +291,7 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
 
     params.verbose = cmd_params_defaults.verbose;
     params.output_format = cmd_params_defaults.output_format;
+    params.output_format_stderr = cmd_params_defaults.output_format_stderr;
     params.reps = cmd_params_defaults.reps;
 
     for (int i = 1; i < argc; i++) {
@@ -297,28 +308,28 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<std::string>(argv[i], split_delim);
+            auto p = string_split<std::string>(argv[i], split_delim);
             params.model.insert(params.model.end(), p.begin(), p.end());
         } else if (arg == "-p" || arg == "--n-prompt") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<int>(argv[i], split_delim);
+            auto p = string_split<int>(argv[i], split_delim);
             params.n_prompt.insert(params.n_prompt.end(), p.begin(), p.end());
         } else if (arg == "-n" || arg == "--n-gen") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<int>(argv[i], split_delim);
+            auto p = string_split<int>(argv[i], split_delim);
             params.n_gen.insert(params.n_gen.end(), p.begin(), p.end());
         } else if (arg == "-pg") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<std::string>(argv[i], ',');
+            auto p = string_split<std::string>(argv[i], ',');
             if (p.size() != 2) {
                 invalid_param = true;
                 break;
@@ -329,21 +340,21 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<int>(argv[i], split_delim);
+            auto p = string_split<int>(argv[i], split_delim);
             params.n_batch.insert(params.n_batch.end(), p.begin(), p.end());
         } else if (arg == "-ub" || arg == "--ubatch-size") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<int>(argv[i], split_delim);
+            auto p = string_split<int>(argv[i], split_delim);
             params.n_ubatch.insert(params.n_ubatch.end(), p.begin(), p.end());
         } else if (arg == "-ctk" || arg == "--cache-type-k") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<std::string>(argv[i], split_delim);
+            auto p = string_split<std::string>(argv[i], split_delim);
             std::vector<ggml_type> types;
             for (const auto & t : p) {
                 ggml_type gt = ggml_type_from_name(t);
@@ -359,7 +370,7 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<std::string>(argv[i], split_delim);
+            auto p = string_split<std::string>(argv[i], split_delim);
             std::vector<ggml_type> types;
             for (const auto & t : p) {
                 ggml_type gt = ggml_type_from_name(t);
@@ -375,21 +386,27 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<int>(argv[i], split_delim);
+            auto p = string_split<int>(argv[i], split_delim);
             params.n_threads.insert(params.n_threads.end(), p.begin(), p.end());
         } else if (arg == "-ngl" || arg == "--n-gpu-layers") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<int>(argv[i], split_delim);
+            auto p = string_split<int>(argv[i], split_delim);
             params.n_gpu_layers.insert(params.n_gpu_layers.end(), p.begin(), p.end());
+        } else if (arg == "-rpc" || arg == "--rpc") {
+            if (++i >= argc) {
+                invalid_param = true;
+                break;
+            }
+            params.rpc_servers.push_back(argv[i]);
         } else if (arg == "-sm" || arg == "--split-mode") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<std::string>(argv[i], split_delim);
+            auto p = string_split<std::string>(argv[i], split_delim);
             std::vector<llama_split_mode> modes;
             for (const auto & m : p) {
                 llama_split_mode mode;
@@ -411,13 +428,13 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            params.main_gpu = split<int>(argv[i], split_delim);
+            params.main_gpu = string_split<int>(argv[i], split_delim);
         } else if (arg == "-nkvo" || arg == "--no-kv-offload") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<bool>(argv[i], split_delim);
+            auto p = string_split<bool>(argv[i], split_delim);
             params.no_kv_offload.insert(params.no_kv_offload.end(), p.begin(), p.end());
         } else if (arg == "--numa") {
             if (++i >= argc) {
@@ -435,28 +452,28 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<bool>(argv[i], split_delim);
+            auto p = string_split<bool>(argv[i], split_delim);
             params.flash_attn.insert(params.flash_attn.end(), p.begin(), p.end());
         } else if (arg == "-mmp" || arg == "--mmap") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<bool>(argv[i], split_delim);
+            auto p = string_split<bool>(argv[i], split_delim);
             params.use_mmap.insert(params.use_mmap.end(), p.begin(), p.end());
         } else if (arg == "-embd" || arg == "--embeddings") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<bool>(argv[i], split_delim);
+            auto p = string_split<bool>(argv[i], split_delim);
             params.embeddings.insert(params.embeddings.end(), p.begin(), p.end());
         } else if (arg == "-ts" || arg == "--tensor-split") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            for (auto ts : split<std::string>(argv[i], split_delim)) {
+            for (auto ts : string_split<std::string>(argv[i], split_delim)) {
                 // split string by ; and /
                 const std::regex regex{R"([;/]+)"};
                 std::sregex_token_iterator it{ts.begin(), ts.end(), regex, -1};
@@ -484,18 +501,13 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            if (argv[i] == std::string("csv")) {
-                params.output_format = CSV;
-            } else if (argv[i] == std::string("json")) {
-                params.output_format = JSON;
-            } else if (argv[i] == std::string("md")) {
-                params.output_format = MARKDOWN;
-            } else if (argv[i] == std::string("sql")) {
-                params.output_format = SQL;
-            } else {
+            invalid_param = !output_format_from_str(argv[i], params.output_format);
+        } else if (arg == "-oe" || arg == "--output-err") {
+            if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
+            invalid_param = !output_format_from_str(argv[i], params.output_format_stderr);
         } else if (arg == "-v" || arg == "--verbose") {
             params.verbose = true;
         } else {
@@ -519,6 +531,7 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
     if (params.type_k.empty())       { params.type_k = cmd_params_defaults.type_k; }
     if (params.type_v.empty())       { params.type_v = cmd_params_defaults.type_v; }
     if (params.n_gpu_layers.empty()) { params.n_gpu_layers = cmd_params_defaults.n_gpu_layers; }
+    if (params.rpc_servers.empty())  { params.rpc_servers = cmd_params_defaults.rpc_servers; }
     if (params.split_mode.empty())   { params.split_mode = cmd_params_defaults.split_mode; }
     if (params.main_gpu.empty())     { params.main_gpu = cmd_params_defaults.main_gpu; }
     if (params.no_kv_offload.empty()){ params.no_kv_offload = cmd_params_defaults.no_kv_offload; }
@@ -541,6 +554,7 @@ struct cmd_params_instance {
     ggml_type type_v;
     int n_threads;
     int n_gpu_layers;
+    std::string rpc_servers;
     llama_split_mode split_mode;
     int main_gpu;
     bool no_kv_offload;
@@ -553,6 +567,9 @@ struct cmd_params_instance {
         llama_model_params mparams = llama_model_default_params();
 
         mparams.n_gpu_layers = n_gpu_layers;
+        if (!rpc_servers.empty()) {
+            mparams.rpc_servers = rpc_servers.c_str();
+        }
         mparams.split_mode = split_mode;
         mparams.main_gpu = main_gpu;
         mparams.tensor_split = tensor_split.data();
@@ -564,6 +581,7 @@ struct cmd_params_instance {
     bool equal_mparams(const cmd_params_instance & other) const {
         return model == other.model &&
                n_gpu_layers == other.n_gpu_layers &&
+               rpc_servers == other.rpc_servers &&
                split_mode == other.split_mode &&
                main_gpu == other.main_gpu &&
                use_mmap == other.use_mmap &&
@@ -592,6 +610,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
     // this ordering minimizes the number of times that each model needs to be reloaded
     for (const auto & m : params.model)
     for (const auto & nl : params.n_gpu_layers)
+    for (const auto & rpc : params.rpc_servers)
     for (const auto & sm : params.split_mode)
     for (const auto & mg : params.main_gpu)
     for (const auto & ts : params.tensor_split)
@@ -618,6 +637,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
                 /* .type_v       = */ tv,
                 /* .n_threads    = */ nt,
                 /* .n_gpu_layers = */ nl,
+                /* .rpc_servers  = */ rpc,
                 /* .split_mode   = */ sm,
                 /* .main_gpu     = */ mg,
                 /* .no_kv_offload= */ nkvo,
@@ -643,6 +663,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
                 /* .type_v       = */ tv,
                 /* .n_threads    = */ nt,
                 /* .n_gpu_layers = */ nl,
+                /* .rpc_servers  = */ rpc,
                 /* .split_mode   = */ sm,
                 /* .main_gpu     = */ mg,
                 /* .no_kv_offload= */ nkvo,
@@ -668,6 +689,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
                 /* .type_v       = */ tv,
                 /* .n_threads    = */ nt,
                 /* .n_gpu_layers = */ nl,
+                /* .rpc_servers  = */ rpc,
                 /* .split_mode   = */ sm,
                 /* .main_gpu     = */ mg,
                 /* .no_kv_offload= */ nkvo,
@@ -687,11 +709,11 @@ struct test {
     static const std::string build_commit;
     static const int build_number;
     static const bool cuda;
-    static const bool opencl;
     static const bool vulkan;
     static const bool kompute;
     static const bool metal;
     static const bool sycl;
+    static const bool rpc;
     static const bool gpu_blas;
     static const bool blas;
     static const std::string cpu_info;
@@ -775,9 +797,6 @@ struct test {
         if (cuda) {
             return GGML_CUDA_NAME;
         }
-        if (opencl) {
-            return "OpenCL";
-        }
         if (vulkan) {
             return "Vulkan";
         }
@@ -790,6 +809,9 @@ struct test {
         if (sycl) {
             return GGML_SYCL_NAME;
         }
+        if (rpc) {
+            return "RPC";
+        }
         if (gpu_blas) {
             return "GPU BLAS";
         }
@@ -803,7 +825,7 @@ struct test {
     static const std::vector<std::string> & get_fields() {
         static const std::vector<std::string> fields = {
             "build_commit", "build_number",
-            "cuda", "opencl", "vulkan", "kompute", "metal", "sycl", "gpu_blas", "blas",
+            "cuda", "vulkan", "kompute", "metal", "sycl", "rpc", "gpu_blas", "blas",
             "cpu_info", "gpu_info",
             "model_filename", "model_type", "model_size", "model_n_params",
             "n_batch", "n_ubatch",
@@ -829,7 +851,7 @@ struct test {
             field == "avg_ns" || field == "stddev_ns") {
             return INT;
         }
-        if (field == "cuda" || field == "opencl"  || field == "vulkan" || field == "kompute" || field == "metal" ||
+        if (field == "cuda" || field == "vulkan" || field == "kompute" || field == "metal" ||
             field == "gpu_blas" || field == "blas" || field == "sycl" ||field == "f16_kv" || field == "no_kv_offload" ||
             field == "flash_attn" || field == "use_mmap" || field == "embeddings") {
             return BOOL;
@@ -858,8 +880,8 @@ struct test {
         }
         std::vector<std::string> values = {
             build_commit, std::to_string(build_number),
-            std::to_string(cuda), std::to_string(opencl), std::to_string(vulkan), std::to_string(vulkan),
-            std::to_string(metal), std::to_string(sycl), std::to_string(gpu_blas), std::to_string(blas),
+            std::to_string(cuda), std::to_string(vulkan), std::to_string(vulkan),
+            std::to_string(metal), std::to_string(sycl), std::to_string(rpc), std::to_string(gpu_blas), std::to_string(blas),
             cpu_info, gpu_info,
             model_filename, model_type, std::to_string(model_size), std::to_string(model_n_params),
             std::to_string(n_batch), std::to_string(n_ubatch),
@@ -887,13 +909,13 @@ struct test {
 const std::string test::build_commit = LLAMA_COMMIT;
 const int         test::build_number = LLAMA_BUILD_NUMBER;
 const bool        test::cuda         = !!ggml_cpu_has_cuda();
-const bool        test::opencl       = !!ggml_cpu_has_clblast();
 const bool        test::vulkan       = !!ggml_cpu_has_vulkan();
 const bool        test::kompute      = !!ggml_cpu_has_kompute();
 const bool        test::metal        = !!ggml_cpu_has_metal();
 const bool        test::gpu_blas     = !!ggml_cpu_has_gpublas();
 const bool        test::blas         = !!ggml_cpu_has_blas();
 const bool        test::sycl         = !!ggml_cpu_has_sycl();
+const bool        test::rpc          = !!ggml_cpu_has_rpc();
 const std::string test::cpu_info     = get_cpu_info();
 const std::string test::gpu_info     = get_gpu_info();
 
@@ -1254,6 +1276,22 @@ static void llama_null_log_callback(enum ggml_log_level level, const char * text
     (void) user_data;
 }
 
+static std::unique_ptr<printer> create_printer(output_formats format) {
+    switch (format) {
+        case NONE:
+            return nullptr;
+        case CSV:
+            return std::unique_ptr<printer>(new csv_printer());
+        case JSON:
+            return std::unique_ptr<printer>(new json_printer());
+        case MARKDOWN:
+            return std::unique_ptr<printer>(new markdown_printer());
+        case SQL:
+            return std::unique_ptr<printer>(new sql_printer());
+    }
+    GGML_ASSERT(false);
+}
+
 int main(int argc, char ** argv) {
     // try to set locale for unicode characters in markdown
     setlocale(LC_CTYPE, ".UTF-8");
@@ -1280,26 +1318,18 @@ int main(int argc, char ** argv) {
     llama_numa_init(params.numa);
 
     // initialize printer
-    std::unique_ptr<printer> p;
-    switch (params.output_format) {
-        case CSV:
-            p.reset(new csv_printer());
-            break;
-        case JSON:
-            p.reset(new json_printer());
-            break;
-        case MARKDOWN:
-            p.reset(new markdown_printer());
-            break;
-        case SQL:
-            p.reset(new sql_printer());
-            break;
-        default:
-            assert(false);
-            exit(1);
+    std::unique_ptr<printer> p = create_printer(params.output_format);
+    std::unique_ptr<printer> p_err = create_printer(params.output_format_stderr);
+
+    if (p) {
+        p->fout = stdout;
+        p->print_header(params);
+    }
+
+    if (p_err) {
+        p_err->fout = stderr;
+        p_err->print_header(params);
     }
-    p->fout = stdout;
-    p->print_header(params);
 
     std::vector<cmd_params_instance> params_instances = get_cmd_params_instances(params);
 
@@ -1357,7 +1387,15 @@ int main(int argc, char ** argv) {
             t.samples_ns.push_back(t_ns);
         }
 
-        p->print_test(t);
+        if (p) {
+            p->print_test(t);
+            fflush(p->fout);
+        }
+
+        if (p_err) {
+            p_err->print_test(t);
+            fflush(p_err->fout);
+        }
 
         llama_print_timings(ctx);
 
@@ -1366,7 +1404,13 @@ int main(int argc, char ** argv) {
 
     llama_free_model(lmodel);
 
-    p->print_footer();
+    if (p) {
+        p->print_footer();
+    }
+
+    if (p_err) {
+        p_err->print_footer();
+    }
 
     llama_backend_free();
 
diff --git a/examples/llama.android/app/build.gradle.kts b/examples/llama.android/app/build.gradle.kts
index d42140efe..8d1b37195 100644
--- a/examples/llama.android/app/build.gradle.kts
+++ b/examples/llama.android/app/build.gradle.kts
@@ -7,8 +7,6 @@ android {
     namespace = "com.example.llama"
     compileSdk = 34
 
-    ndkVersion = "26.1.10909125"
-
     defaultConfig {
         applicationId = "com.example.llama"
         minSdk = 33
@@ -20,17 +18,6 @@ android {
         vectorDrawables {
             useSupportLibrary = true
         }
-        ndk {
-            // Add NDK properties if wanted, e.g.
-            // abiFilters += listOf("arm64-v8a")
-        }
-        externalNativeBuild {
-            cmake {
-                arguments += "-DCMAKE_BUILD_TYPE=Release"
-                cppFlags += listOf()
-                arguments += listOf()
-            }
-        }
     }
 
     buildTypes {
@@ -55,17 +42,6 @@ android {
     composeOptions {
         kotlinCompilerExtensionVersion = "1.5.1"
     }
-    packaging {
-        resources {
-            excludes += "/META-INF/{AL2.0,LGPL2.1}"
-        }
-    }
-    externalNativeBuild {
-        cmake {
-            path = file("src/main/cpp/CMakeLists.txt")
-            version = "3.22.1"
-        }
-    }
 }
 
 dependencies {
@@ -78,6 +54,7 @@ dependencies {
     implementation("androidx.compose.ui:ui-graphics")
     implementation("androidx.compose.ui:ui-tooling-preview")
     implementation("androidx.compose.material3:material3")
+    implementation(project(":llama"))
     testImplementation("junit:junit:4.13.2")
     androidTestImplementation("androidx.test.ext:junit:1.1.5")
     androidTestImplementation("androidx.test.espresso:espresso-core:3.5.1")
diff --git a/examples/llama.android/app/src/main/java/com/example/llama/MainViewModel.kt b/examples/llama.android/app/src/main/java/com/example/llama/MainViewModel.kt
index be95e2221..45ac29938 100644
--- a/examples/llama.android/app/src/main/java/com/example/llama/MainViewModel.kt
+++ b/examples/llama.android/app/src/main/java/com/example/llama/MainViewModel.kt
@@ -1,5 +1,6 @@
 package com.example.llama
 
+import android.llama.cpp.LLamaAndroid
 import android.util.Log
 import androidx.compose.runtime.getValue
 import androidx.compose.runtime.mutableStateOf
@@ -9,7 +10,7 @@ import androidx.lifecycle.viewModelScope
 import kotlinx.coroutines.flow.catch
 import kotlinx.coroutines.launch
 
-class MainViewModel(private val llm: Llm = Llm.instance()): ViewModel() {
+class MainViewModel(private val llamaAndroid: LLamaAndroid = LLamaAndroid.instance()): ViewModel() {
     companion object {
         @JvmStatic
         private val NanosPerSecond = 1_000_000_000.0
@@ -28,7 +29,7 @@ class MainViewModel(private val llm: Llm = Llm.instance()): ViewModel() {
 
         viewModelScope.launch {
             try {
-                llm.unload()
+                llamaAndroid.unload()
             } catch (exc: IllegalStateException) {
                 messages += exc.message!!
             }
@@ -44,7 +45,7 @@ class MainViewModel(private val llm: Llm = Llm.instance()): ViewModel() {
         messages += ""
 
         viewModelScope.launch {
-            llm.send(text)
+            llamaAndroid.send(text)
                 .catch {
                     Log.e(tag, "send() failed", it)
                     messages += it.message!!
@@ -57,7 +58,7 @@ class MainViewModel(private val llm: Llm = Llm.instance()): ViewModel() {
         viewModelScope.launch {
             try {
                 val start = System.nanoTime()
-                val warmupResult = llm.bench(pp, tg, pl, nr)
+                val warmupResult = llamaAndroid.bench(pp, tg, pl, nr)
                 val end = System.nanoTime()
 
                 messages += warmupResult
@@ -70,7 +71,7 @@ class MainViewModel(private val llm: Llm = Llm.instance()): ViewModel() {
                     return@launch
                 }
 
-                messages += llm.bench(512, 128, 1, 3)
+                messages += llamaAndroid.bench(512, 128, 1, 3)
             } catch (exc: IllegalStateException) {
                 Log.e(tag, "bench() failed", exc)
                 messages += exc.message!!
@@ -81,7 +82,7 @@ class MainViewModel(private val llm: Llm = Llm.instance()): ViewModel() {
     fun load(pathToModel: String) {
         viewModelScope.launch {
             try {
-                llm.load(pathToModel)
+                llamaAndroid.load(pathToModel)
                 messages += "Loaded $pathToModel"
             } catch (exc: IllegalStateException) {
                 Log.e(tag, "load() failed", exc)
diff --git a/examples/llama.android/build.gradle.kts b/examples/llama.android/build.gradle.kts
index 50ebc8211..acd1ada7d 100644
--- a/examples/llama.android/build.gradle.kts
+++ b/examples/llama.android/build.gradle.kts
@@ -2,4 +2,5 @@
 plugins {
     id("com.android.application") version "8.2.0" apply false
     id("org.jetbrains.kotlin.android") version "1.9.0" apply false
+    id("com.android.library") version "8.2.0" apply false
 }
diff --git a/examples/llama.android/llama/.gitignore b/examples/llama.android/llama/.gitignore
new file mode 100644
index 000000000..796b96d1c
--- /dev/null
+++ b/examples/llama.android/llama/.gitignore
@@ -0,0 +1 @@
+/build
diff --git a/examples/llama.android/llama/CMakeLists.txt b/examples/llama.android/llama/CMakeLists.txt
new file mode 100644
index 000000000..a5618cac0
--- /dev/null
+++ b/examples/llama.android/llama/CMakeLists.txt
@@ -0,0 +1,55 @@
+
+# For more information about using CMake with Android Studio, read the
+# documentation: https://d.android.com/studio/projects/add-native-code.html.
+# For more examples on how to use CMake, see https://github.com/android/ndk-samples.
+
+# Sets the minimum CMake version required for this project.
+cmake_minimum_required(VERSION 3.22.1)
+
+# Declares the project name. The project name can be accessed via ${ PROJECT_NAME},
+# Since this is the top level CMakeLists.txt, the project name is also accessible
+# with ${CMAKE_PROJECT_NAME} (both CMake variables are in-sync within the top level
+# build script scope).
+project("llama-android")
+
+## Fetch latest llama.cpp from GitHub
+#include(FetchContent)
+#FetchContent_Declare(
+#        llama
+#        GIT_REPOSITORY https://github.com/ggerganov/llama.cpp
+#        GIT_TAG        master
+#)
+#
+## Also provides "common"
+#FetchContent_MakeAvailable(llama)
+
+# llama.cpp CI uses the code from the current branch
+# ref: https://github.com/ggerganov/llama.cpp/pull/7341#issuecomment-2117617700
+add_subdirectory(../../../../../../ build-llama)
+
+# Creates and names a library, sets it as either STATIC
+# or SHARED, and provides the relative paths to its source code.
+# You can define multiple libraries, and CMake builds them for you.
+# Gradle automatically packages shared libraries with your APK.
+#
+# In this top level CMakeLists.txt, ${CMAKE_PROJECT_NAME} is used to define
+# the target library name; in the sub-module's CMakeLists.txt, ${PROJECT_NAME}
+# is preferred for the same purpose.
+#
+# In order to load a library into your app from Java/Kotlin, you must call
+# System.loadLibrary() and pass the name of the library defined here;
+# for GameActivity/NativeActivity derived applications, the same library name must be
+# used in the AndroidManifest.xml file.
+add_library(${CMAKE_PROJECT_NAME} SHARED
+    # List C/C++ source files with relative paths to this CMakeLists.txt.
+        llama-android.cpp)
+
+# Specifies libraries CMake should link to your target library. You
+# can link libraries from various origins, such as libraries defined in this
+# build script, prebuilt third-party libraries, or Android system libraries.
+target_link_libraries(${CMAKE_PROJECT_NAME}
+    # List libraries link to the target library
+    llama
+    common
+    android
+    log)
diff --git a/examples/llama.android/llama/build.gradle.kts b/examples/llama.android/llama/build.gradle.kts
new file mode 100644
index 000000000..0a3806172
--- /dev/null
+++ b/examples/llama.android/llama/build.gradle.kts
@@ -0,0 +1,68 @@
+plugins {
+    id("com.android.library")
+    id("org.jetbrains.kotlin.android")
+}
+
+android {
+    namespace = "android.llama.cpp"
+    compileSdk = 34
+
+    defaultConfig {
+        minSdk = 33
+
+        testInstrumentationRunner = "androidx.test.runner.AndroidJUnitRunner"
+        consumerProguardFiles("consumer-rules.pro")
+        ndk {
+            // Add NDK properties if wanted, e.g.
+            // abiFilters += listOf("arm64-v8a")
+        }
+        externalNativeBuild {
+            cmake {
+                arguments += "-DCMAKE_BUILD_TYPE=Release"
+                cppFlags += listOf()
+                arguments += listOf()
+
+                cppFlags("")
+            }
+        }
+    }
+
+    buildTypes {
+        release {
+            isMinifyEnabled = false
+            proguardFiles(
+                getDefaultProguardFile("proguard-android-optimize.txt"),
+                "proguard-rules.pro"
+            )
+        }
+    }
+    externalNativeBuild {
+        cmake {
+            path("src/main/cpp/CMakeLists.txt")
+            version = "3.22.1"
+        }
+    }
+    compileOptions {
+        sourceCompatibility = JavaVersion.VERSION_1_8
+        targetCompatibility = JavaVersion.VERSION_1_8
+    }
+    kotlinOptions {
+        jvmTarget = "1.8"
+    }
+
+    packaging {
+        resources {
+            excludes += "/META-INF/{AL2.0,LGPL2.1}"
+        }
+    }
+}
+
+dependencies {
+
+    implementation("androidx.core:core-ktx:1.12.0")
+    implementation("androidx.appcompat:appcompat:1.6.1")
+    implementation("com.google.android.material:material:1.11.0")
+    testImplementation("junit:junit:4.13.2")
+    androidTestImplementation("androidx.test.ext:junit:1.1.5")
+    androidTestImplementation("androidx.test.espresso:espresso-core:3.5.1")
+}
diff --git a/examples/llama.android/llama/consumer-rules.pro b/examples/llama.android/llama/consumer-rules.pro
new file mode 100644
index 000000000..e69de29bb
diff --git a/examples/llama.android/llama/proguard-rules.pro b/examples/llama.android/llama/proguard-rules.pro
new file mode 100644
index 000000000..f1b424510
--- /dev/null
+++ b/examples/llama.android/llama/proguard-rules.pro
@@ -0,0 +1,21 @@
+# Add project specific ProGuard rules here.
+# You can control the set of applied configuration files using the
+# proguardFiles setting in build.gradle.
+#
+# For more details, see
+#   http://developer.android.com/guide/developing/tools/proguard.html
+
+# If your project uses WebView with JS, uncomment the following
+# and specify the fully qualified class name to the JavaScript interface
+# class:
+#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
+#   public *;
+#}
+
+# Uncomment this to preserve the line number information for
+# debugging stack traces.
+#-keepattributes SourceFile,LineNumberTable
+
+# If you keep the line number information, uncomment this to
+# hide the original source file name.
+#-renamesourcefileattribute SourceFile
diff --git a/examples/llama.android/llama/src/androidTest/java/android/llama/cpp/ExampleInstrumentedTest.kt b/examples/llama.android/llama/src/androidTest/java/android/llama/cpp/ExampleInstrumentedTest.kt
new file mode 100644
index 000000000..05d6ab5d2
--- /dev/null
+++ b/examples/llama.android/llama/src/androidTest/java/android/llama/cpp/ExampleInstrumentedTest.kt
@@ -0,0 +1,24 @@
+package android.llama.cpp
+
+import androidx.test.platform.app.InstrumentationRegistry
+import androidx.test.ext.junit.runners.AndroidJUnit4
+
+import org.junit.Test
+import org.junit.runner.RunWith
+
+import org.junit.Assert.*
+
+/**
+ * Instrumented test, which will execute on an Android device.
+ *
+ * See [testing documentation](http://d.android.com/tools/testing).
+ */
+@RunWith(AndroidJUnit4::class)
+class ExampleInstrumentedTest {
+    @Test
+    fun useAppContext() {
+        // Context of the app under test.
+        val appContext = InstrumentationRegistry.getInstrumentation().targetContext
+        assertEquals("android.llama.cpp.test", appContext.packageName)
+    }
+}
diff --git a/examples/llama.android/llama/src/main/AndroidManifest.xml b/examples/llama.android/llama/src/main/AndroidManifest.xml
new file mode 100644
index 000000000..8bdb7e14b
--- /dev/null
+++ b/examples/llama.android/llama/src/main/AndroidManifest.xml
@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="utf-8"?>
+<manifest xmlns:android="http://schemas.android.com/apk/res/android">
+
+</manifest>
diff --git a/examples/llama.android/app/src/main/cpp/CMakeLists.txt b/examples/llama.android/llama/src/main/cpp/CMakeLists.txt
similarity index 89%
rename from examples/llama.android/app/src/main/cpp/CMakeLists.txt
rename to examples/llama.android/llama/src/main/cpp/CMakeLists.txt
index 85139329a..42ebaad49 100644
--- a/examples/llama.android/app/src/main/cpp/CMakeLists.txt
+++ b/examples/llama.android/llama/src/main/cpp/CMakeLists.txt
@@ -1,4 +1,3 @@
-
 # For more information about using CMake with Android Studio, read the
 # documentation: https://d.android.com/studio/projects/add-native-code.html.
 # For more examples on how to use CMake, see https://github.com/android/ndk-samples.
@@ -36,15 +35,15 @@ FetchContent_MakeAvailable(llama)
 # for GameActivity/NativeActivity derived applications, the same library name must be
 # used in the AndroidManifest.xml file.
 add_library(${CMAKE_PROJECT_NAME} SHARED
-    # List C/C++ source files with relative paths to this CMakeLists.txt.
-    llama-android.cpp)
+        # List C/C++ source files with relative paths to this CMakeLists.txt.
+        llama-android.cpp)
 
 # Specifies libraries CMake should link to your target library. You
 # can link libraries from various origins, such as libraries defined in this
 # build script, prebuilt third-party libraries, or Android system libraries.
 target_link_libraries(${CMAKE_PROJECT_NAME}
-    # List libraries link to the target library
-    llama
-    common
-    android
-    log)
+        # List libraries link to the target library
+        llama
+        common
+        android
+        log)
diff --git a/examples/llama.android/app/src/main/cpp/llama-android.cpp b/examples/llama.android/llama/src/main/cpp/llama-android.cpp
similarity index 92%
rename from examples/llama.android/app/src/main/cpp/llama-android.cpp
rename to examples/llama.android/llama/src/main/cpp/llama-android.cpp
index 4af9de303..874158ef0 100644
--- a/examples/llama.android/app/src/main/cpp/llama-android.cpp
+++ b/examples/llama.android/llama/src/main/cpp/llama-android.cpp
@@ -81,7 +81,7 @@ static void log_callback(ggml_log_level level, const char * fmt, void * data) {
 
 extern "C"
 JNIEXPORT jlong JNICALL
-Java_com_example_llama_Llm_load_1model(JNIEnv *env, jobject, jstring filename) {
+Java_android_llama_cpp_LLamaAndroid_load_1model(JNIEnv *env, jobject, jstring filename) {
     llama_model_params model_params = llama_model_default_params();
 
     auto path_to_model = env->GetStringUTFChars(filename, 0);
@@ -101,13 +101,13 @@ Java_com_example_llama_Llm_load_1model(JNIEnv *env, jobject, jstring filename) {
 
 extern "C"
 JNIEXPORT void JNICALL
-Java_com_example_llama_Llm_free_1model(JNIEnv *, jobject, jlong model) {
+Java_android_llama_cpp_LLamaAndroid_free_1model(JNIEnv *, jobject, jlong model) {
     llama_free_model(reinterpret_cast<llama_model *>(model));
 }
 
 extern "C"
 JNIEXPORT jlong JNICALL
-Java_com_example_llama_Llm_new_1context(JNIEnv *env, jobject, jlong jmodel) {
+Java_android_llama_cpp_LLamaAndroid_new_1context(JNIEnv *env, jobject, jlong jmodel) {
     auto model = reinterpret_cast<llama_model *>(jmodel);
 
     if (!model) {
@@ -139,25 +139,25 @@ Java_com_example_llama_Llm_new_1context(JNIEnv *env, jobject, jlong jmodel) {
 
 extern "C"
 JNIEXPORT void JNICALL
-Java_com_example_llama_Llm_free_1context(JNIEnv *, jobject, jlong context) {
+Java_android_llama_cpp_LLamaAndroid_free_1context(JNIEnv *, jobject, jlong context) {
     llama_free(reinterpret_cast<llama_context *>(context));
 }
 
 extern "C"
 JNIEXPORT void JNICALL
-Java_com_example_llama_Llm_backend_1free(JNIEnv *, jobject) {
+Java_android_llama_cpp_LLamaAndroid_backend_1free(JNIEnv *, jobject) {
     llama_backend_free();
 }
 
 extern "C"
 JNIEXPORT void JNICALL
-Java_com_example_llama_Llm_log_1to_1android(JNIEnv *, jobject) {
+Java_android_llama_cpp_LLamaAndroid_log_1to_1android(JNIEnv *, jobject) {
     llama_log_set(log_callback, NULL);
 }
 
 extern "C"
 JNIEXPORT jstring JNICALL
-Java_com_example_llama_Llm_bench_1model(
+Java_android_llama_cpp_LLamaAndroid_bench_1model(
         JNIEnv *env,
         jobject,
         jlong context_pointer,
@@ -271,13 +271,13 @@ Java_com_example_llama_Llm_bench_1model(
 
 extern "C"
 JNIEXPORT void JNICALL
-Java_com_example_llama_Llm_free_1batch(JNIEnv *, jobject, jlong batch_pointer) {
+Java_android_llama_cpp_LLamaAndroid_free_1batch(JNIEnv *, jobject, jlong batch_pointer) {
     llama_batch_free(*reinterpret_cast<llama_batch *>(batch_pointer));
 }
 
 extern "C"
 JNIEXPORT jlong JNICALL
-Java_com_example_llama_Llm_new_1batch(JNIEnv *, jobject, jint n_tokens, jint embd, jint n_seq_max) {
+Java_android_llama_cpp_LLamaAndroid_new_1batch(JNIEnv *, jobject, jint n_tokens, jint embd, jint n_seq_max) {
 
     // Source: Copy of llama.cpp:llama_batch_init but heap-allocated.
 
@@ -313,19 +313,19 @@ Java_com_example_llama_Llm_new_1batch(JNIEnv *, jobject, jint n_tokens, jint emb
 
 extern "C"
 JNIEXPORT void JNICALL
-Java_com_example_llama_Llm_backend_1init(JNIEnv *, jobject) {
+Java_android_llama_cpp_LLamaAndroid_backend_1init(JNIEnv *, jobject) {
     llama_backend_init();
 }
 
 extern "C"
 JNIEXPORT jstring JNICALL
-Java_com_example_llama_Llm_system_1info(JNIEnv *env, jobject) {
+Java_android_llama_cpp_LLamaAndroid_system_1info(JNIEnv *env, jobject) {
     return env->NewStringUTF(llama_print_system_info());
 }
 
 extern "C"
 JNIEXPORT jint JNICALL
-Java_com_example_llama_Llm_completion_1init(
+Java_android_llama_cpp_LLamaAndroid_completion_1init(
         JNIEnv *env,
         jobject,
         jlong context_pointer,
@@ -376,7 +376,7 @@ Java_com_example_llama_Llm_completion_1init(
 
 extern "C"
 JNIEXPORT jstring JNICALL
-Java_com_example_llama_Llm_completion_1loop(
+Java_android_llama_cpp_LLamaAndroid_completion_1loop(
         JNIEnv * env,
         jobject,
         jlong context_pointer,
@@ -438,6 +438,6 @@ Java_com_example_llama_Llm_completion_1loop(
 
 extern "C"
 JNIEXPORT void JNICALL
-Java_com_example_llama_Llm_kv_1cache_1clear(JNIEnv *, jobject, jlong context) {
+Java_android_llama_cpp_LLamaAndroid_kv_1cache_1clear(JNIEnv *, jobject, jlong context) {
     llama_kv_cache_clear(reinterpret_cast<llama_context *>(context));
 }
diff --git a/examples/llama.android/app/src/main/java/com/example/llama/Llm.kt b/examples/llama.android/llama/src/main/java/android/llama/cpp/LLamaAndroid.kt
similarity index 97%
rename from examples/llama.android/app/src/main/java/com/example/llama/Llm.kt
rename to examples/llama.android/llama/src/main/java/android/llama/cpp/LLamaAndroid.kt
index d86afee37..6c63e54e0 100644
--- a/examples/llama.android/app/src/main/java/com/example/llama/Llm.kt
+++ b/examples/llama.android/llama/src/main/java/android/llama/cpp/LLamaAndroid.kt
@@ -1,4 +1,4 @@
-package com.example.llama
+package android.llama.cpp
 
 import android.util.Log
 import kotlinx.coroutines.CoroutineDispatcher
@@ -10,7 +10,7 @@ import kotlinx.coroutines.withContext
 import java.util.concurrent.Executors
 import kotlin.concurrent.thread
 
-class Llm {
+class LLamaAndroid {
     private val tag: String? = this::class.simpleName
 
     private val threadLocalState: ThreadLocal<State> = ThreadLocal.withInitial { State.Idle }
@@ -165,8 +165,8 @@ class Llm {
         }
 
         // Enforce only one instance of Llm.
-        private val _instance: Llm = Llm()
+        private val _instance: LLamaAndroid = LLamaAndroid()
 
-        fun instance(): Llm = _instance
+        fun instance(): LLamaAndroid = _instance
     }
 }
diff --git a/examples/llama.android/llama/src/test/java/android/llama/cpp/ExampleUnitTest.kt b/examples/llama.android/llama/src/test/java/android/llama/cpp/ExampleUnitTest.kt
new file mode 100644
index 000000000..cbbb974d3
--- /dev/null
+++ b/examples/llama.android/llama/src/test/java/android/llama/cpp/ExampleUnitTest.kt
@@ -0,0 +1,17 @@
+package android.llama.cpp
+
+import org.junit.Test
+
+import org.junit.Assert.*
+
+/**
+ * Example local unit test, which will execute on the development machine (host).
+ *
+ * See [testing documentation](http://d.android.com/tools/testing).
+ */
+class ExampleUnitTest {
+    @Test
+    fun addition_isCorrect() {
+        assertEquals(4, 2 + 2)
+    }
+}
diff --git a/examples/llama.android/settings.gradle.kts b/examples/llama.android/settings.gradle.kts
index 2ba32c4fa..c7c1a034a 100644
--- a/examples/llama.android/settings.gradle.kts
+++ b/examples/llama.android/settings.gradle.kts
@@ -15,3 +15,4 @@ dependencyResolutionManagement {
 
 rootProject.name = "LlamaAndroid"
 include(":app")
+include(":llama")
diff --git a/examples/llava/MobileVLM-README.md b/examples/llava/MobileVLM-README.md
index 413e433dd..74f021dec 100644
--- a/examples/llava/MobileVLM-README.md
+++ b/examples/llava/MobileVLM-README.md
@@ -54,10 +54,10 @@ python ./examples/llava/convert-image-encoder-to-gguf \
     --projector-type ldpv2
 ```
 
-4. Use `convert.py` to convert the LLaMA part of LLaVA to GGUF:
+4. Use `examples/convert-legacy-llama.py` to convert the LLaMA part of LLaVA to GGUF:
 
 ```sh
-python ./convert.py path/to/MobileVLM-1.7B
+python ./examples/convert-legacy-llama.py path/to/MobileVLM-1.7B
 ```
 
 5. Use `quantize` to convert LLaMA part's DataType from `fp16` to `q4_k`
diff --git a/examples/llava/README.md b/examples/llava/README.md
index 4fb0cf381..8d1ae5270 100644
--- a/examples/llava/README.md
+++ b/examples/llava/README.md
@@ -50,10 +50,10 @@ python ./examples/llava/llava-surgery.py -m ../llava-v1.5-7b
 python ./examples/llava/convert-image-encoder-to-gguf.py -m ../clip-vit-large-patch14-336 --llava-projector ../llava-v1.5-7b/llava.projector --output-dir ../llava-v1.5-7b
 ```
 
-5. Use `convert.py` to convert the LLaMA part of LLaVA to GGUF:
+5. Use `examples/convert-legacy-llama.py` to convert the LLaMA part of LLaVA to GGUF:
 
 ```sh
-python ./convert.py ../llava-v1.5-7b --skip-unknown
+python ./examples/convert-legacy-llama.py ../llava-v1.5-7b --skip-unknown
 ```
 
 Now both the LLaMA part and the image encoder are in the `llava-v1.5-7b` directory.
@@ -92,7 +92,7 @@ python ./examples/llava/convert-image-encoder-to-gguf.py -m vit --llava-projecto
 
 6) Then convert the model to gguf format:
 ```console
-python ./convert.py ../llava-v1.6-vicuna-7b/ --skip-unknown
+python ./examples/convert-legacy-llama.py ../llava-v1.6-vicuna-7b/ --skip-unknown
 ```
 
 7) And finally we can run the llava-cli using the 1.6 model version:
diff --git a/examples/llava/clip.h b/examples/llava/clip.h
index 45bdad689..ca3631384 100644
--- a/examples/llava/clip.h
+++ b/examples/llava/clip.h
@@ -68,7 +68,7 @@ CLIP_API bool clip_image_load_from_file(const char * fname, struct clip_image_u8
 /** interpret bytes as an image file with length bytes_length, and use the result to populate img */
 CLIP_API bool clip_image_load_from_bytes(const unsigned char * bytes, size_t bytes_length, struct clip_image_u8 * img);
 
-/** preprocess img and store the result in res_imgs, pad_to_square may be overriden to false depending on model configuration */
+/** preprocess img and store the result in res_imgs, pad_to_square may be overridden to false depending on model configuration */
 CLIP_API bool clip_image_preprocess(struct clip_ctx * ctx, const struct clip_image_u8 * img, struct clip_image_f32_batch * res_imgs );
 
 CLIP_API struct ggml_tensor * clip_get_newline_tensor(const struct clip_ctx * ctx);
diff --git a/examples/llava/llava-cli.cpp b/examples/llava/llava-cli.cpp
index da60ddf2f..8c7dd2ae3 100644
--- a/examples/llava/llava-cli.cpp
+++ b/examples/llava/llava-cli.cpp
@@ -112,9 +112,12 @@ struct llava_context {
     struct llama_model * model = NULL;
 };
 
-static void show_additional_info(int /*argc*/, char ** argv) {
-    LOG_TEE("\n example usage: %s -m <llava-v1.5-7b/ggml-model-q5_k.gguf> --mmproj <llava-v1.5-7b/mmproj-model-f16.gguf> --image <path/to/an/image.jpg> --image <path/to/another/image.jpg> [--temp 0.1] [-p \"describe the image in detail.\"]\n", argv[0]);
-    LOG_TEE("  note: a lower temperature value like 0.1 is recommended for better quality.\n");
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
+
+    LOG_TEE("\n example usage:\n");
+    LOG_TEE("\n     %s -m <llava-v1.5-7b/ggml-model-q5_k.gguf> --mmproj <llava-v1.5-7b/mmproj-model-f16.gguf> --image <path/to/an/image.jpg> --image <path/to/another/image.jpg> [--temp 0.1] [-p \"describe the image in detail.\"]\n", argv[0]);
+    LOG_TEE("\n note: a lower temperature value like 0.1 is recommended for better quality.\n");
 }
 
 static struct llava_image_embed * load_image(llava_context * ctx_llava, gpt_params * params, const std::string & fname) {
@@ -278,7 +281,7 @@ int main(int argc, char ** argv) {
     gpt_params params;
 
     if (!gpt_params_parse(argc, argv, params)) {
-        show_additional_info(argc, argv);
+        print_usage(argc, argv, params);
         return 1;
     }
 
@@ -290,8 +293,7 @@ int main(int argc, char ** argv) {
 #endif // LOG_DISABLE_LOGS
 
     if (params.mmproj.empty() || (params.image.empty() && !prompt_contains_image(params.prompt))) {
-        gpt_print_usage(argc, argv, params);
-        show_additional_info(argc, argv);
+        print_usage(argc, argv, {});
         return 1;
     }
     auto model = llava_init(&params);
@@ -300,14 +302,10 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    for (auto & image : params.image) {
+    if (prompt_contains_image(params.prompt)) {
         auto ctx_llava = llava_init_context(&params, model);
 
-        auto image_embed = load_image(ctx_llava, &params, image);
-        if (!image_embed) {
-            std::cerr << "error: failed to load image " << image << ". Terminating\n\n";
-            return 1;
-        }
+        auto image_embed = load_image(ctx_llava, &params, "");
 
         // process the prompt
         process_prompt(ctx_llava, image_embed, &params, params.prompt);
@@ -316,7 +314,26 @@ int main(int argc, char ** argv) {
         llava_image_embed_free(image_embed);
         ctx_llava->model = NULL;
         llava_free(ctx_llava);
+    } else {
+        for (auto & image : params.image) {
+            auto ctx_llava = llava_init_context(&params, model);
+
+            auto image_embed = load_image(ctx_llava, &params, image);
+            if (!image_embed) {
+                std::cerr << "error: failed to load image " << image << ". Terminating\n\n";
+                return 1;
+            }
+
+            // process the prompt
+            process_prompt(ctx_llava, image_embed, &params, params.prompt);
+
+            llama_print_timings(ctx_llava->ctx_llama);
+            llava_image_embed_free(image_embed);
+            ctx_llava->model = NULL;
+            llava_free(ctx_llava);
+        }
     }
+
     llama_free_model(model);
 
     return 0;
diff --git a/examples/llava/llava.cpp b/examples/llava/llava.cpp
index 9a990bb18..63878d176 100644
--- a/examples/llava/llava.cpp
+++ b/examples/llava/llava.cpp
@@ -88,7 +88,6 @@ static struct clip_image_grid_shape get_anyres_image_grid_shape(const std::pair<
 // Take the image segments in a grid configuration and return the embeddings and the number of embeddings into preallocated memory (image_embd_out)
 static bool clip_llava_handle_patches(clip_ctx * ctx_clip, std::vector<float *> & image_embd_v, struct clip_image_grid_shape grid_shape, float * image_embd_out, int * n_img_pos_out) {
     struct {
-        struct ggml_tensor * newline;
         struct ggml_context * ctx;
     } model;
 
@@ -150,20 +149,6 @@ static bool clip_llava_handle_patches(clip_ctx * ctx_clip, std::vector<float *>
 
     model.ctx = ggml_init(params);
 
-    ggml_tensor * newline_tmp = clip_get_newline_tensor(ctx_clip);
-    model.newline = ggml_new_tensor_1d(model.ctx, GGML_TYPE_F32, newline_tmp->ne[0]);
-    if (newline_tmp->backend != GGML_BACKEND_TYPE_CPU) {
-        if (newline_tmp->buffer == NULL) {
-            LOG_TEE("newline_tmp tensor buffer is NULL\n");
-        }
-        ggml_backend_tensor_get(newline_tmp, model.newline->data, 0, ggml_nbytes(newline_tmp));
-    } else {
-        model.newline->data = newline_tmp->data;
-        if (model.newline->data == NULL) {
-            LOG_TEE("newline_tmp tensor data is NULL\n");
-        }
-    }
-
     struct ggml_tensor * image_features = ggml_new_tensor_3d(model.ctx, GGML_TYPE_F32, clip_n_mmproj_embd(ctx_clip), clip_n_patches(ctx_clip), num_images - 1); // example: 4096 x 576 x 4
     // ggml_tensor_printf(image_features,"image_features",__LINE__,false,false);
     // fill it with the image embeddings, ignoring the base
diff --git a/examples/llava/requirements.txt b/examples/llava/requirements.txt
index f80f727a7..17cb4d5e5 100644
--- a/examples/llava/requirements.txt
+++ b/examples/llava/requirements.txt
@@ -1,3 +1,3 @@
--r ../../requirements/requirements-convert.txt
+-r ../../requirements/requirements-convert-legacy-llama.txt
 pillow~=10.2.0
 torch~=2.1.1
diff --git a/examples/lookahead/lookahead.cpp b/examples/lookahead/lookahead.cpp
index 9c3540b20..fb20ad93f 100644
--- a/examples/lookahead/lookahead.cpp
+++ b/examples/lookahead/lookahead.cpp
@@ -37,7 +37,8 @@ struct ngram_container {
 int main(int argc, char ** argv) {
     gpt_params params;
 
-    if (gpt_params_parse(argc, argv, params) == false) {
+    if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
@@ -174,7 +175,7 @@ int main(int argc, char ** argv) {
         // debug
         if (dump_kv_cache) {
             llama_kv_cache_view_update(ctx, &kvc_view);
-            dump_kv_cache_view_seqs(kvc_view, 40);
+            llama_kv_cache_dump_view_seqs(kvc_view, 40);
         }
 
         // build the mask from https://lmsys.org/blog/2023-11-21-lookahead-decoding/
diff --git a/examples/lookup/lookup-create.cpp b/examples/lookup/lookup-create.cpp
index 1c230c966..d713f6f21 100644
--- a/examples/lookup/lookup-create.cpp
+++ b/examples/lookup/lookup-create.cpp
@@ -14,8 +14,10 @@ int main(int argc, char ** argv){
     gpt_params params;
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
+
     // init llama.cpp
     llama_backend_init();
     llama_numa_init(params.numa);
diff --git a/examples/lookup/lookup-stats.cpp b/examples/lookup/lookup-stats.cpp
index 87ecc0a4f..0b171c872 100644
--- a/examples/lookup/lookup-stats.cpp
+++ b/examples/lookup/lookup-stats.cpp
@@ -16,6 +16,7 @@ int main(int argc, char ** argv){
     gpt_params params;
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
diff --git a/examples/lookup/lookup.cpp b/examples/lookup/lookup.cpp
index eebbd00a5..80ecd925d 100644
--- a/examples/lookup/lookup.cpp
+++ b/examples/lookup/lookup.cpp
@@ -15,6 +15,7 @@ int main(int argc, char ** argv){
     gpt_params params;
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
@@ -121,7 +122,7 @@ int main(int argc, char ** argv){
         // debug
         if (dump_kv_cache) {
             llama_kv_cache_view_update(ctx, &kvc_view);
-            dump_kv_cache_view_seqs(kvc_view, 40);
+            llama_kv_cache_dump_view_seqs(kvc_view, 40);
         }
 
         // print current draft sequence
diff --git a/examples/main-cmake-pkg/README.md b/examples/main-cmake-pkg/README.md
index edf20d8db..a88e92f23 100644
--- a/examples/main-cmake-pkg/README.md
+++ b/examples/main-cmake-pkg/README.md
@@ -8,16 +8,14 @@ Because this example is "outside of the source tree", it is important to first b
 
 ### Considerations
 
-When hardware acceleration libraries are used (e.g. CUDA, Metal, CLBlast, etc.), CMake must be able to locate the associated CMake package. In the example below, when building _main-cmake-pkg_ notice the `CMAKE_PREFIX_PATH` includes the Llama CMake package location _in addition to_ the CLBlast package—which was used when compiling _llama.cpp_.
+When hardware acceleration libraries are used (e.g. CUDA, Metal, etc.), CMake must be able to locate the associated CMake package.
 
 ### Build llama.cpp and install to C:\LlamaCPP directory
 
-In this case, CLBlast was already installed so the CMake package is referenced in `CMAKE_PREFIX_PATH`.
-
 ```cmd
 git clone https://github.com/ggerganov/llama.cpp
 cd llama.cpp
-cmake -B build -DBUILD_SHARED_LIBS=OFF -DLLAMA_CLBLAST=ON -DCMAKE_PREFIX_PATH=C:/CLBlast/lib/cmake/CLBlast -G "Visual Studio 17 2022" -A x64
+cmake -B build -DBUILD_SHARED_LIBS=OFF -G "Visual Studio 17 2022" -A x64
 cmake --build build --config Release
 cmake --install build --prefix C:/LlamaCPP
 ```
@@ -27,7 +25,7 @@ cmake --install build --prefix C:/LlamaCPP
 
 ```cmd
 cd ..\examples\main-cmake-pkg
-cmake -B build -DBUILD_SHARED_LIBS=OFF -DCMAKE_PREFIX_PATH="C:/CLBlast/lib/cmake/CLBlast;C:/LlamaCPP/lib/cmake/Llama" -G "Visual Studio 17 2022" -A x64
+cmake -B build -DBUILD_SHARED_LIBS=OFF -DCMAKE_PREFIX_PATH="C:/LlamaCPP/lib/cmake/Llama" -G "Visual Studio 17 2022" -A x64
 cmake --build build --config Release
 cmake --install build --prefix C:/MyLlamaApp
 ```
diff --git a/examples/main/README.md b/examples/main/README.md
index 97e2ae4c2..cdc002f15 100644
--- a/examples/main/README.md
+++ b/examples/main/README.md
@@ -53,13 +53,13 @@ The following command generates "infinite" text from a starting prompt (you can
 #### Unix-based systems (Linux, macOS, etc.):
 
 ```bash
-./main -m models/7B/ggml-model.bin --ignore-eos -n -1 --random-prompt
+./main -m models/7B/ggml-model.bin --ignore-eos -n -1
 ```
 
 #### Windows:
 
 ```powershell
-main.exe -m models\7B\ggml-model.bin --ignore-eos -n -1 --random-prompt
+main.exe -m models\7B\ggml-model.bin --ignore-eos -n -1
 ```
 
 ## Common Options
@@ -69,7 +69,6 @@ In this section, we cover the most commonly used options for running the `main`
 -   `-m FNAME, --model FNAME`: Specify the path to the LLaMA model file (e.g., `models/7B/ggml-model.gguf`; inferred from `--model-url` if set).
 -   `-mu MODEL_URL --model-url MODEL_URL`: Specify a remote http url to download the file (e.g https://huggingface.co/ggml-org/models/resolve/main/phi-2/ggml-model-q4_0.gguf).
 -   `-i, --interactive`: Run the program in interactive mode, allowing you to provide input directly and receive real-time responses.
--   `-ins, --instruct`: Run the program in instruction mode, which is particularly useful when working with Alpaca models.
 -   `-n N, --n-predict N`: Set the number of tokens to predict when generating text. Adjusting this value can influence the length of the generated text.
 -   `-c N, --ctx-size N`: Set the size of the prompt context. The default is 512, but LLaMA models were built with a context of 2048, which will provide better results for longer input/inference.
 
@@ -80,11 +79,10 @@ The `main` program provides several ways to interact with the LLaMA models using
 -   `--prompt PROMPT`: Provide a prompt directly as a command-line option.
 -   `--file FNAME`: Provide a file containing a prompt or multiple prompts.
 -   `--interactive-first`: Run the program in interactive mode and wait for input right away. (More on this below.)
--   `--random-prompt`: Start with a randomized prompt.
 
 ## Interaction
 
-The `main` program offers a seamless way to interact with LLaMA models, allowing users to engage in real-time conversations or provide instructions for specific tasks. The interactive mode can be triggered using various options, including `--interactive`, `--interactive-first`, and `--instruct`.
+The `main` program offers a seamless way to interact with LLaMA models, allowing users to engage in real-time conversations or provide instructions for specific tasks. The interactive mode can be triggered using various options, including `--interactive` and `--interactive-first`.
 
 In interactive mode, users can participate in text generation by injecting their input during the process. Users can press `Ctrl+C` at any time to interject and type their input, followed by pressing `Return` to submit it to the LLaMA model. To submit additional lines without finalizing input, users can end the current line with a backslash (`\`) and continue typing.
 
@@ -92,7 +90,6 @@ In interactive mode, users can participate in text generation by injecting their
 
 -   `-i, --interactive`: Run the program in interactive mode, allowing users to engage in real-time conversations or provide specific instructions to the model.
 -   `--interactive-first`: Run the program in interactive mode and immediately wait for user input before starting the text generation.
--   `-ins, --instruct`: Run the program in instruction mode, which is specifically designed to work with Alpaca models that excel in completing tasks based on user instructions.
 -   `--color`: Enable colorized output to differentiate visually distinguishing between prompts, user input, and generated text.
 
 By understanding and utilizing these interaction options, you can create engaging and dynamic experiences with the LLaMA models, tailoring the text generation process to your specific needs.
@@ -121,16 +118,6 @@ The `--in-suffix` flag is used to add a suffix after your input. This is useful
 ./main -r "User:" --in-prefix " " --in-suffix "Assistant:"
 ```
 
-### Instruction Mode
-
-Instruction mode is particularly useful when working with Alpaca models, which are designed to follow user instructions for specific tasks:
-
--   `-ins, --instruct`: Enable instruction mode to leverage the capabilities of Alpaca models in completing tasks based on user-provided instructions.
-
-Technical detail: the user's input is internally prefixed with the reverse prompt (or `### Instruction:` as the default), and followed by `### Response:` (except if you just press Return without any input, to keep generating a longer response).
-
-By understanding and utilizing these interaction options, you can create engaging and dynamic experiences with the LLaMA models, tailoring the text generation process to your specific needs.
-
 ## Context Management
 
 During text generation, LLaMA models have a limited context size, which means they can only consider a certain number of tokens from the input and generated text. When the context fills up, the model resets internally, potentially losing some information from the beginning of the conversation or instructions. Context management options help maintain continuity and coherence in these situations.
@@ -325,3 +312,5 @@ These options provide extra functionality and customization when running the LLa
 -   `-ts SPLIT, --tensor-split SPLIT`: When using multiple GPUs this option controls how large tensors should be split across all GPUs. `SPLIT` is a comma-separated list of non-negative values that assigns the proportion of data that each GPU should get in order. For example, "3,2" will assign 60% of the data to GPU 0 and 40% to GPU 1. By default the data is split in proportion to VRAM but this may not be optimal for performance.
 -   `--lora FNAME`: Apply a LoRA (Low-Rank Adaptation) adapter to the model (implies --no-mmap). This allows you to adapt the pretrained model to specific tasks or domains.
 -   `--lora-base FNAME`: Optional model to use as a base for the layers modified by the LoRA adapter. This flag is used in conjunction with the `--lora` flag, and specifies the base model for the adaptation.
+
+-   `-hfr URL --hf-repo URL`: The url to the Hugging Face model repository. Used in conjunction with `--hf-file` or `-hff`. The model is downloaded and stored in the file provided by `-m` or `--model`. If `-m` is not provided, the model is auto-stored in the path specified by the `LLAMA_CACHE` environment variable  or in an OS-specific local cache.
diff --git a/examples/main/main.cpp b/examples/main/main.cpp
index 9dee41001..b97b7b793 100644
--- a/examples/main/main.cpp
+++ b/examples/main/main.cpp
@@ -60,9 +60,9 @@ static void write_logfile(
         return;
     }
 
-    const std::string timestamp = get_sortable_timestamp();
+    const std::string timestamp = string_get_sortable_timestamp();
 
-    const bool success = create_directory_with_parents(params.logdir);
+    const bool success = fs_create_directory_with_parents(params.logdir);
     if (!success) {
         fprintf(stderr, "%s: warning: failed to create logdir %s, cannot write logfile\n",
                 __func__, params.logdir.c_str());
@@ -80,7 +80,7 @@ static void write_logfile(
     fprintf(logfile, "binary: main\n");
     char model_desc[128];
     llama_model_desc(model, model_desc, sizeof(model_desc));
-    dump_non_result_info_yaml(logfile, params, ctx, timestamp, input_tokens, model_desc);
+    yaml_dump_non_result_info(logfile, params, ctx, timestamp, input_tokens, model_desc);
 
     fprintf(logfile, "\n");
     fprintf(logfile, "######################\n");
@@ -88,8 +88,8 @@ static void write_logfile(
     fprintf(logfile, "######################\n");
     fprintf(logfile, "\n");
 
-    dump_string_yaml_multiline(logfile, "output", output.c_str());
-    dump_vector_int_yaml(logfile, "output_tokens", output_tokens);
+    yaml_dump_string_multiline(logfile, "output", output.c_str());
+    yaml_dump_vector_int(logfile, "output_tokens", output_tokens);
 
     llama_dump_timing_info_yaml(logfile, ctx);
     fclose(logfile);
@@ -122,8 +122,10 @@ int main(int argc, char ** argv) {
     g_params = &params;
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
+
     llama_sampling_params & sparams = params.sparams;
 
 #ifndef LOG_DISABLE_LOGS
@@ -180,9 +182,6 @@ int main(int argc, char ** argv) {
     LOG_TEE("%s: seed  = %u\n", __func__, params.seed);
 
     std::mt19937 rng(params.seed);
-    if (params.random_prompt) {
-        params.prompt = gpt_random_prompt(rng);
-    }
 
     LOG("%s: llama backend init\n", __func__);
     llama_backend_init();
@@ -219,7 +218,7 @@ int main(int argc, char ** argv) {
     // print system information
     {
         LOG_TEE("\n");
-        LOG_TEE("%s\n", get_system_info(params).c_str());
+        LOG_TEE("%s\n", gpt_params_get_system_info(params).c_str());
     }
 
     std::string path_session = params.path_prompt_cache;
@@ -250,11 +249,8 @@ int main(int argc, char ** argv) {
 
     std::vector<llama_token> embd_inp;
 
-    if (params.interactive_first || params.instruct || params.chatml || !params.prompt.empty() || session_tokens.empty()) {
+    if (params.interactive_first || !params.prompt.empty() || session_tokens.empty()) {
         LOG("tokenize the prompt\n");
-        if (params.chatml) {
-            params.prompt = "<|im_start|>system\n" + params.prompt + "<|im_end|>";
-        }
         embd_inp = ::llama_tokenize(ctx, params.prompt, true, true);
     } else {
         LOG("use session tokens\n");
@@ -332,37 +328,13 @@ int main(int argc, char ** argv) {
     }
 
     // number of tokens to keep when resetting context
-    if (params.n_keep < 0 || params.n_keep > (int) embd_inp.size() || params.instruct || params.chatml) {
+    if (params.n_keep < 0 || params.n_keep > (int) embd_inp.size()) {
         params.n_keep = (int)embd_inp.size();
     } else {
         params.n_keep += add_bos; // always keep the BOS token
     }
 
-    // prefix & suffix for instruct mode
-    const auto inp_pfx = ::llama_tokenize(ctx, "\n\n### Instruction:\n\n", true,  true);
-    const auto inp_sfx = ::llama_tokenize(ctx, "\n\n### Response:\n\n",    false, true);
-
-    LOG("inp_pfx: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, inp_pfx).c_str());
-    LOG("inp_sfx: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, inp_sfx).c_str());
-
-    // chatml prefix & suffix
-    const auto cml_pfx = ::llama_tokenize(ctx, "\n<|im_start|>user\n", true, true);
-    const auto cml_sfx = ::llama_tokenize(ctx, "<|im_end|>\n<|im_start|>assistant\n", false, true);
-
-    LOG("cml_pfx: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, cml_pfx).c_str());
-    LOG("cml_sfx: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, cml_sfx).c_str());
-
-    // in instruct mode, we inject a prefix and a suffix to each input by the user
-    if (params.instruct) {
-        params.interactive_first = true;
-        params.antiprompt.emplace_back("### Instruction:\n\n");
-    }
-    // similar for chatml mode
-    else if (params.chatml) {
-        params.interactive_first = true;
-        params.antiprompt.emplace_back("<|im_start|>user\n");
-    }
-    else if (params.conversation) {
+    if (params.conversation) {
         params.interactive_first = true;
     }
 
@@ -474,12 +446,12 @@ int main(int argc, char ** argv) {
     LOG_TEE("\n\n");
 
     if (params.interactive) {
-        const char *control_message;
+        const char * control_message;
         if (params.multiline_input) {
-            control_message = " - To return control to LLaMa, end your input with '\\'.\n"
+            control_message = " - To return control to the AI, end your input with '\\'.\n"
                               " - To return control without starting a new line, end your input with '/'.\n";
         } else {
-            control_message = " - Press Return to return control to LLaMa.\n"
+            control_message = " - Press Return to return control to the AI.\n"
                               " - To return control without starting a new line, end your input with '/'.\n"
                               " - If you want to submit another line, end your input with '\\'.\n";
         }
@@ -707,7 +679,7 @@ int main(int argc, char ** argv) {
 
             const llama_token id = llama_sampling_sample(ctx_sampling, ctx, ctx_guidance);
 
-            llama_sampling_accept(ctx_sampling, ctx, id, true);
+            llama_sampling_accept(ctx_sampling, ctx, id, /* apply_grammar= */ true);
 
             LOG("last: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, ctx_sampling->prev).c_str());
 
@@ -728,7 +700,7 @@ int main(int argc, char ** argv) {
 
                 // push the prompt in the sampling context in order to apply repetition penalties later
                 // for the prompt, we don't apply grammar rules
-                llama_sampling_accept(ctx_sampling, ctx, embd_inp[n_consumed], false);
+                llama_sampling_accept(ctx_sampling, ctx, embd_inp[n_consumed], /* apply_grammar= */ false);
 
                 ++n_consumed;
                 if ((int) embd.size() >= params.n_batch) {
@@ -740,18 +712,26 @@ int main(int argc, char ** argv) {
         // display text
         if (input_echo && display) {
             for (auto id : embd) {
-                const std::string token_str = llama_token_to_piece(ctx, id, !params.conversation);
-                printf("%s", token_str.c_str());
+                const std::string token_str = llama_token_to_piece(ctx, id, params.special);
 
+                // Console/Stream Output
+                fprintf(stdout, "%s", token_str.c_str());
+
+                // Record Displayed Tokens To Log
+                // Note: Generated tokens are created one by one hence this check
                 if (embd.size() > 1) {
+                    // Incoming Requested Tokens
                     input_tokens.push_back(id);
                 } else {
+                    // Outgoing Generated Tokens
                     output_tokens.push_back(id);
                     output_ss << token_str;
                 }
+
+                fflush(stdout);
             }
-            fflush(stdout);
         }
+
         // reset color to default if there is no pending user input
         if (input_echo && (int) embd_inp.size() == n_consumed) {
             console::set_display(console::reset);
@@ -815,15 +795,13 @@ int main(int argc, char ** argv) {
 
                     is_interacting = true;
                     printf("\n");
-                } else if (params.instruct || params.chatml) {
-                    is_interacting = true;
                 }
             }
 
             if (n_past > 0 && is_interacting) {
                 LOG("waiting for user input\n");
 
-                if (params.conversation || params.instruct || params.chatml) {
+                if (params.conversation) {
                     printf("\n> ");
                 }
 
@@ -866,24 +844,12 @@ int main(int argc, char ** argv) {
 
                     const size_t original_size = embd_inp.size();
 
-                    // instruct mode: insert instruction prefix
-                    if (params.instruct && !is_antiprompt) {
-                        LOG("inserting instruction prefix\n");
-                        n_consumed = embd_inp.size();
-                        embd_inp.insert(embd_inp.end(), inp_pfx.begin(), inp_pfx.end());
-                    }
-                    // chatml mode: insert user chat prefix
-                    if (params.chatml && !is_antiprompt) {
-                        LOG("inserting chatml prefix\n");
-                        n_consumed = embd_inp.size();
-                        embd_inp.insert(embd_inp.end(), cml_pfx.begin(), cml_pfx.end());
-                    }
                     if (params.escape) {
-                        process_escapes(buffer);
+                        string_process_escapes(buffer);
                     }
 
                     const auto line_pfx = ::llama_tokenize(ctx, params.input_prefix, false, true);
-                    const auto line_inp = ::llama_tokenize(ctx, buffer,              false, params.interactive_specials);
+                    const auto line_inp = ::llama_tokenize(ctx, buffer,              false, false);
                     const auto line_sfx = ::llama_tokenize(ctx, params.input_suffix, false, true);
 
                     LOG("input tokens: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, line_inp).c_str());
@@ -892,17 +858,6 @@ int main(int argc, char ** argv) {
                     embd_inp.insert(embd_inp.end(), line_inp.begin(), line_inp.end());
                     embd_inp.insert(embd_inp.end(), line_sfx.begin(), line_sfx.end());
 
-                    // instruct mode: insert response suffix
-                    if (params.instruct) {
-                        LOG("inserting instruction suffix\n");
-                        embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
-                    }
-                    // chatml mode: insert assistant chat suffix
-                    if (params.chatml) {
-                        LOG("inserting chatml suffix\n");
-                        embd_inp.insert(embd_inp.end(), cml_sfx.begin(), cml_sfx.end());
-                    }
-
                     for (size_t i = original_size; i < embd_inp.size(); ++i) {
                         const llama_token token = embd_inp[i];
                         output_tokens.push_back(token);
@@ -927,7 +882,7 @@ int main(int argc, char ** argv) {
         }
 
         // end of generation
-        if (!embd.empty() && llama_token_is_eog(model, embd.back()) && !(params.instruct || params.interactive || params.chatml)) {
+        if (!embd.empty() && llama_token_is_eog(model, embd.back()) && !(params.interactive)) {
             LOG_TEE(" [end of text]\n");
             break;
         }
diff --git a/examples/make-ggml.py b/examples/make-ggml.py
deleted file mode 100755
index c73485ebf..000000000
--- a/examples/make-ggml.py
+++ /dev/null
@@ -1,98 +0,0 @@
-#!/usr/bin/env python3
-"""
-This script converts Hugging Face Llama, StarCoder, Falcon, Baichuan, and GPT-NeoX models to GGUF and quantizes them.
-
-Usage:
-python make-ggml.py {model_dir_or_hf_repo_name} --model_type {model_type} [--outname {output_name} (Optional)] [--outdir {output_directory} (Optional)] [--quants {quant_types} (Optional)] [--keep_fp16 (Optional)]
-
-Arguments:
-- model: (Required) The directory of the downloaded Hugging Face model or the name of the Hugging Face model repository. If the model directory does not exist, it will be downloaded from the Hugging Face model hub.
-- --model_type: (Required) The type of the model to be converted. Choose from llama, starcoder, falcon, baichuan, or gptneox.
-- --outname: (Optional) The name of the output model. If not specified, the last part of the model directory path or the Hugging Face model repo name will be used.
-- --outdir: (Optional) The directory where the output model(s) will be stored. If not specified, '../models/{outname}' will be used.
-- --quants: (Optional) The types of quantization to apply. This should be a space-separated list. The default is 'Q4_K_M Q5_K_S'.
-- --keep_fp16: (Optional) If specified, the FP16 model will not be deleted after the quantized models are created.
-
-Old quant types (some base model types require these):
-- Q4_0: small, very high quality loss - legacy, prefer using Q3_K_M
-- Q4_1: small, substantial quality loss - legacy, prefer using Q3_K_L
-- Q5_0: medium, balanced quality - legacy, prefer using Q4_K_M
-- Q5_1: medium, low quality loss - legacy, prefer using Q5_K_M
-
-New quant types (recommended):
-- Q2_K: smallest, extreme quality loss - not recommended
-- Q3_K: alias for Q3_K_M
-- Q3_K_S: very small, very high quality loss
-- Q3_K_M: very small, very high quality loss
-- Q3_K_L: small, substantial quality loss
-- Q4_K: alias for Q4_K_M
-- Q4_K_S: small, significant quality loss
-- Q4_K_M: medium, balanced quality - recommended
-- Q5_K: alias for Q5_K_M
-- Q5_K_S: large, low quality loss - recommended
-- Q5_K_M: large, very low quality loss - recommended
-- Q6_K: very large, extremely low quality loss
-- Q8_0: very large, extremely low quality loss - not recommended
-- F16: extremely large, virtually no quality loss - not recommended
-- F32: absolutely huge, lossless - not recommended
-"""
-import subprocess
-subprocess.run(f"pip install huggingface-hub==0.16.4", shell=True, check=True)
-
-import argparse
-import os
-from huggingface_hub import snapshot_download
-
-def main(model, model_type, outname, outdir, quants, keep_fp16):
-    if not os.path.isdir(model):
-        print(f"Model not found at {model}. Downloading...")
-        try:
-            if outname is None:
-                outname = model.split('/')[-1]
-            model = snapshot_download(repo_id=model, cache_dir='../models/hf_cache')
-        except Exception as e:
-            raise Exception(f"Could not download the model: {e}")
-
-    if outdir is None:
-        outdir = f'../models/{outname}'
-
-    if not os.path.isfile(f"{model}/config.json"):
-        raise Exception(f"Could not find config.json in {model}")
-
-    os.makedirs(outdir, exist_ok=True)
-
-    print("Building llama.cpp")
-    subprocess.run(f"cd .. && make quantize", shell=True, check=True)
-
-    fp16 = f"{outdir}/{outname}.gguf.fp16.bin"
-
-    print(f"Making unquantised GGUF at {fp16}")
-    if not os.path.isfile(fp16):
-        if model_type != "llama":
-            subprocess.run(f"python3 ../convert-{model_type}-hf-to-gguf.py {model} 1 --outfile {fp16}", shell=True, check=True)
-        else:
-            subprocess.run(f"python3 ../convert.py {model} --outtype f16 --outfile {fp16}", shell=True, check=True)
-    else:
-        print(f"Unquantised GGML already exists at: {fp16}")
-
-    print("Making quants")
-    for type in quants:
-        outfile = f"{outdir}/{outname}.gguf.{type}.bin"
-        print(f"Making {type} : {outfile}")
-        subprocess.run(f"../quantize {fp16} {outfile} {type}", shell=True, check=True)
-
-    if not keep_fp16:
-        os.remove(fp16)
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(description='Convert/Quantize HF models to GGUF. If you have the HF model downloaded already, pass the path to the model dir. Otherwise, pass the Hugging Face model repo name. You need to be in the /examples folder for it to work.')
-    parser.add_argument('model', help='Downloaded model dir or Hugging Face model repo name')
-    parser.add_argument('--model_type', required=True, choices=['llama', 'starcoder', 'falcon', 'baichuan', 'gptneox'], help='Type of the model to be converted. Choose from llama, starcoder, falcon, baichuan, or gptneox.')
-    parser.add_argument('--outname', default=None, help='Output model(s) name')
-    parser.add_argument('--outdir', default=None, help='Output directory')
-    parser.add_argument('--quants', nargs='*', default=["Q4_K_M", "Q5_K_S"], help='Quant types')
-    parser.add_argument('--keep_fp16', action='store_true', help='Keep fp16 model', default=False)
-
-    args = parser.parse_args()
-
-    main(args.model, args.model_type, args.outname, args.outdir, args.quants, args.keep_fp16)
diff --git a/examples/parallel/parallel.cpp b/examples/parallel/parallel.cpp
index 7c5595d6e..7faeaec97 100644
--- a/examples/parallel/parallel.cpp
+++ b/examples/parallel/parallel.cpp
@@ -100,7 +100,8 @@ int main(int argc, char ** argv) {
 
     gpt_params params;
 
-    if (gpt_params_parse(argc, argv, params) == false) {
+    if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
@@ -210,7 +211,7 @@ int main(int argc, char ** argv) {
     while (true) {
         if (dump_kv_cache) {
             llama_kv_cache_view_update(ctx, &kvc_view);
-            dump_kv_cache_view_seqs(kvc_view, 40);
+            llama_kv_cache_dump_view_seqs(kvc_view, 40);
         }
 
         llama_batch_clear(batch);
diff --git a/examples/passkey/README.md b/examples/passkey/README.md
index 4a22bb559..9e7a119ba 100644
--- a/examples/passkey/README.md
+++ b/examples/passkey/README.md
@@ -8,5 +8,5 @@ See the following PRs for more info:
 ### Usage
 
 ```bash
-make -j && ./passkey ./models/llama-7b-v2/ggml-model-f16.gguf 250
+make -j && ./passkey -m ./models/llama-7b-v2/ggml-model-f16.gguf --junk 250
 ```
diff --git a/examples/passkey/passkey.cpp b/examples/passkey/passkey.cpp
index f2ef9ca10..d03215cd1 100644
--- a/examples/passkey/passkey.cpp
+++ b/examples/passkey/passkey.cpp
@@ -6,46 +6,32 @@
 #include <string>
 #include <vector>
 
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
+
+    LOG_TEE("\nexample usage:\n");
+    LOG_TEE("\n    %s -m model.gguf --junk 250 --pos 90 --keep 32 --grp-attn-n 2 [--seed 1234]\n", argv[0]);
+    LOG_TEE("\n");
+}
+
 int main(int argc, char ** argv) {
     gpt_params params;
 
-    if (argc == 1 || argv[1][0] == '-') {
-        printf("usage: %s MODEL_PATH N_JUNK N_GRP I_POS SEED\n" , argv[0]);
-        return 1 ;
+    params.n_junk = 250;
+    params.n_keep = 32;
+    params.i_pos  = -1;
+
+    if (!gpt_params_parse(argc, argv, params)) {
+        print_usage(argc, argv, params);
+        return 1;
     }
 
-    int seed = -1;
+    srand(params.seed == LLAMA_DEFAULT_SEED ? time(NULL) : params.seed);
 
-    int n_junk = 250; // number of times to repeat the junk text
-    int n_keep = 32;  // number of tokens in the prompt prefix
-    int n_grp  = 1;   // if more than 1 - perform LongLM SelfExtend
-    int i_pos  = -1;  // position of the passkey in the junk text
-
-    if (argc >= 2) {
-        params.model = argv[1];
-    }
-
-    if (argc >= 3) {
-        n_junk = std::stoi(argv[2]);
-    }
-
-    if (argc >= 4) {
-        n_grp = std::stoi(argv[3]);
-    }
-
-    if (argc >= 5) {
-        i_pos = std::stoi(argv[4]);
-    }
-
-    if (argc >= 6) {
-        seed = std::stoi(argv[5]);
-    }
-
-    if (seed == -1) {
-        seed = time(NULL);
-    }
-
-    srand(seed);
+    int n_junk = params.n_junk;
+    int n_keep = params.n_keep;
+    int n_grp  = params.grp_attn_n;
+    int i_pos  = params.i_pos;
 
     if (i_pos == -1) {
         i_pos = rand() % n_junk;
@@ -76,9 +62,7 @@ int main(int argc, char ** argv) {
 
     // initialize the model
 
-    llama_model_params model_params = llama_model_default_params();
-
-    model_params.n_gpu_layers = 99; // offload all layers to the GPU
+    llama_model_params model_params = llama_model_params_from_gpt_params(params);
 
     llama_model * model = llama_load_model_from_file(params.model.c_str(), model_params);
 
@@ -89,13 +73,9 @@ int main(int argc, char ** argv) {
 
     // initialize the context
 
-    llama_context_params ctx_params = llama_context_default_params();
+    llama_context_params ctx_params = llama_context_params_from_gpt_params(params);
 
-    ctx_params.seed    = seed;
-    ctx_params.n_ctx   = llama_n_ctx_train(model)*n_grp + n_keep;
-    ctx_params.n_batch = 512;
-    ctx_params.n_threads       = params.n_threads;
-    ctx_params.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch;
+    ctx_params.n_ctx = llama_n_ctx_train(model)*n_grp + n_keep;
 
     GGML_ASSERT(ctx_params.n_batch % n_grp == 0 && "n_batch must be divisible by n_grp");
 
@@ -135,7 +115,7 @@ int main(int argc, char ** argv) {
     LOG_TEE("prompt tokens: %d\n", n_tokens_all);
     //LOG_TEE("prompt: %s\n", params.prompt.c_str());
 
-    llama_batch batch = llama_batch_init(512, 0, 1);
+    llama_batch batch = llama_batch_init(params.n_batch, 0, 1);
 
     int n_past = 0;
 
diff --git a/examples/perplexity/README.md b/examples/perplexity/README.md
index c5e2bc5de..33a46d1a2 100644
--- a/examples/perplexity/README.md
+++ b/examples/perplexity/README.md
@@ -7,6 +7,8 @@ Also note that finetunes typically result in a higher perplexity value even thou
 
 Within llama.cpp the perplexity of base models is used primarily to judge the quality loss from e.g. quantized models vs. FP16.
 The convention among contributors is to use the Wikitext-2 test set for testing unless noted otherwise (can be obtained with `scripts/get-wikitext-2.sh`).
+When numbers are listed all command line arguments and compilation options are left at their defaults unless noted otherwise.
+llama.cpp numbers are **not** directly comparable to those of other projects because the exact values depend strongly on the implementation details.
 
 By default only the mean perplexity value and the corresponding uncertainty is calculated.
 The uncertainty is determined empirically by assuming a Gaussian distribution of the "correct" logits per and then applying error propagation.
@@ -32,12 +34,21 @@ In addition to the KL divergence the following statistics are calculated with `-
 
 ## LLaMA 3 8b Scoreboard
 
-Results are sorted by Kullback-Leibler divergence relative to FP16.
+| Revision | f364eb6f           |
+|:---------|:-------------------|
+| Backend  | CUDA               |
+| CPU      | AMD Epyc 7742      |
+| GPU      | 1x NVIDIA RTX 4090 |
+
+Results were generated using the CUDA backend and are sorted by Kullback-Leibler divergence relative to FP16.
 The "WT" importance matrices were created using varying numbers of Wikitext tokens and can be found [here](https://huggingface.co/JohannesGaessler/llama.cpp_importance_matrices/blob/main/imatrix-llama_3-8b-f16-2.7m_tokens.dat).
+Note: the FP16 logits used for the calculation of all metrics other than perplexity are stored in a binary file between runs.
+In order to save space this file does **not** contain the exact same FP32 logits but instead casts them to 16 bit unsigned integers (with some scaling).
+So the "f16" results are to be understood as the difference resulting only from this downcast.
 
 | Quantization | imatrix | Model size [GiB] | PPL                    | ΔPPL                   | KLD                   | Mean Δp           | RMS Δp           |
 |--------------|---------|------------------|------------------------|------------------------|-----------------------|-------------------|------------------|
-| f16          | None    |            14.97 | 6.233160 ±   0.037828  | -                      | -                     | -                 | -                |
+| f16          | None    |            14.97 | 6.233160 ±   0.037828  | 0.001524 ±   0.000755  | 0.000551 ±   0.000002 |  0.001 ± 0.002 %  | 0.787 ± 0.004 %  |
 | q8_0         | None    |             7.96 | 6.234284 ±   0.037878  | 0.002650 ±   0.001006  | 0.001355 ±   0.000006 | -0.019 ± 0.003 %  | 1.198 ± 0.007 %  |
 | q6_K         | None    |             6.14 | 6.253382 ±   0.038078  | 0.021748 ±   0.001852  | 0.005452 ±   0.000035 | -0.007 ± 0.006 %  | 2.295 ± 0.019 %  |
 | q5_K_M       | None    |             5.33 | 6.288607 ±   0.038338  | 0.056974 ±   0.002598  | 0.010762 ±   0.000079 | -0.114 ± 0.008 %  | 3.160 ± 0.031 %  |
@@ -89,6 +100,12 @@ K-quants score better on mean Δp than the legacy quants than e.g. KL divergence
 
 ## LLaMA 2 vs. LLaMA 3 Quantization comparison
 
+| Revision | f364eb6f           |
+|:---------|:-------------------|
+| Backend  | CUDA               |
+| CPU      | AMD Epyc 7742      |
+| GPU      | 1x NVIDIA RTX 4090 |
+
 | Metric          |          L2 7b q2_K |          L3 8b q2_K |        L2 7b q4_K_M |        L3 8b q4_K_M |          L2 7b q6_K |          L3 8b q6_K |          L2 7b q8_0 |          L3 8b q8_0 |
 |-----------------|---------------------|---------------------|---------------------|---------------------|---------------------|---------------------|---------------------|---------------------|
 | Mean PPL        | 5.794552 ± 0.032298 | 9.751568 ± 0.063312 | 5.877078 ± 0.032781 | 6.407115 ± 0.039119 | 5.808494 ± 0.032425 | 6.253382 ± 0.038078 | 5.798542 ± 0.032366 | 6.234284 ± 0.037878 |
@@ -107,6 +124,50 @@ K-quants score better on mean Δp than the legacy quants than e.g. KL divergence
 | RMS Δp          |     9.762 ± 0.053 % |    21.421 ± 0.079 % |     3.252 ± 0.024 % |     5.519 ± 0.050 % |     1.339 ± 0.010 % |     2.295 ± 0.019 % |     0.618 ± 0.011 % |     1.198 ± 0.007 % |
 | Same top p      |    85.584 ± 0.086 % |    71.138 ± 0.119 % |    94.665 ± 0.055 % |    91.901 ± 0.072 % |    97.520 ± 0.038 % |    96.031 ± 0.051 % |    98.846 ± 0.026 % |    97.674 ± 0.040 % |
 
+## LLaMA 3 BF16 vs. FP16 comparison
+
+| Revision | 83330d8c      |
+|:---------|:--------------|
+| Backend  | CPU           |
+| CPU      | AMD Epyc 7742 |
+| GPU      | N/A           |
+
+Results were calculated with LLaMA 3 8b BF16 as `--kl-divergence-base` and LLaMA 3 8b FP16 as the `--model` for comparison.
+
+| Metric                         |                    Value |
+|--------------------------------|--------------------------|
+| Mean PPL(Q)                    |      6.227711 ± 0.037833 |
+| Mean PPL(base)                 |      6.225194 ± 0.037771 |
+| Cor(ln(PPL(Q)), ln(PPL(base))) |                  99.990% |
+| Mean ln(PPL(Q)/PPL(base))      |      0.000404 ± 0.000086 |
+| Mean PPL(Q)/PPL(base)          |      1.000404 ± 0.000086 |
+| Mean PPL(Q)-PPL(base)          |      0.002517 ± 0.000536 |
+| Mean    KLD                    |  0.00002515 ± 0.00000020 |
+| Maximum KLD                    |                 0.012206 |
+| 99.9%   KLD                    |                 0.000799 |
+| 99.0%   KLD                    |                 0.000222 |
+| 99.0%   KLD                    |                 0.000222 |
+| Median  KLD                    |                 0.000013 |
+| 10.0%   KLD                    |                -0.000002 |
+| 5.0%   KLD                     |                -0.000008 |
+| 1.0%   KLD                     |                -0.000023 |
+| Minimum KLD                    |                -0.000059 |
+| Mean    Δp                     | -0.0000745 ± 0.0003952 % |
+| Maximum Δp                     |                   4.186% |
+| 99.9%   Δp                     |                   1.049% |
+| 99.0%   Δp                     |                   0.439% |
+| 95.0%   Δp                     |                   0.207% |
+| 90.0%   Δp                     |                   0.125% |
+| 75.0%   Δp                     |                   0.029% |
+| Median  Δp                     |                   0.000% |
+| 25.0%   Δp                     |                  -0.030% |
+| 10.0%   Δp                     |                  -0.126% |
+| 5.0%   Δp                      |                  -0.207% |
+| 1.0%   Δp                      |                  -0.434% |
+| 0.1%   Δp                      |                  -1.016% |
+| Minimum Δp                     |                  -4.672% |
+| RMS Δp                         |          0.150 ± 0.001 % |
+| Same top p                     |         99.739 ± 0.013 % |
 
 ## Old Numbers
 
diff --git a/examples/perplexity/perplexity.cpp b/examples/perplexity/perplexity.cpp
index db6e0949d..0bd78c21a 100644
--- a/examples/perplexity/perplexity.cpp
+++ b/examples/perplexity/perplexity.cpp
@@ -44,9 +44,9 @@ static void write_logfile(
         return;
     }
 
-    const std::string timestamp = get_sortable_timestamp();
+    const std::string timestamp = string_get_sortable_timestamp();
 
-    const bool success = create_directory_with_parents(params.logdir);
+    const bool success = fs_create_directory_with_parents(params.logdir);
     if (!success) {
         fprintf(stderr, "%s: warning: failed to create logdir %s, cannot write logfile\n",
                 __func__, params.logdir.c_str());
@@ -64,7 +64,7 @@ static void write_logfile(
     fprintf(logfile, "binary: main\n");
     char model_desc[128];
     llama_model_desc(model, model_desc, sizeof(model_desc));
-    dump_non_result_info_yaml(logfile, params, ctx, timestamp, results.tokens, model_desc);
+    yaml_dump_non_result_info(logfile, params, ctx, timestamp, results.tokens, model_desc);
 
     fprintf(logfile, "\n");
     fprintf(logfile, "######################\n");
@@ -72,9 +72,9 @@ static void write_logfile(
     fprintf(logfile, "######################\n");
     fprintf(logfile, "\n");
 
-    dump_vector_float_yaml(logfile, "logits", results.logits);
+    yaml_dump_vector_float(logfile, "logits", results.logits);
     fprintf(logfile, "ppl_value: %f\n", results.ppl_value);
-    dump_vector_float_yaml(logfile, "probs", results.probs);
+    yaml_dump_vector_float(logfile, "probs", results.probs);
 
     llama_dump_timing_info_yaml(logfile, ctx);
     fclose(logfile);
@@ -1032,7 +1032,7 @@ struct winogrande_entry {
     std::vector<llama_token> seq_tokens[2];
 };
 
-static std::vector<winogrande_entry> load_winogrande_from_csv(const std::string& prompt) {
+static std::vector<winogrande_entry> load_winogrande_from_csv(const std::string & prompt) {
     std::vector<winogrande_entry> result;
     std::istringstream in(prompt);
     std::string line;
@@ -1425,7 +1425,7 @@ static void multiple_choice_score(llama_context * ctx, const gpt_params & params
         // Use all tasks
         tasks.resize(n_task);
         printf("%s: reading tasks", __func__);
-        int n_dot = n_task/100;
+        int n_dot = std::max((int) n_task/100, 1);
         int i = 0;
         for (auto& task : tasks) {
             ++i;
@@ -1675,7 +1675,7 @@ static void multiple_choice_score(llama_context * ctx, const gpt_params & params
 
     llama_batch_free(batch);
 
-    if (n_done < 100) return;
+    if (n_done < 100 && (params.multiple_choice_tasks != 0 && params.multiple_choice_tasks < (size_t)n_task)) return;
 
     float p = 1.f*n_correct/n_done;
     float sigma = sqrt(p*(1-p)/(n_done-1));
@@ -1964,12 +1964,14 @@ static void kl_divergence(llama_context * ctx, const gpt_params & params) {
 int main(int argc, char ** argv) {
     gpt_params params;
 
+    params.n_ctx = 512;
+    params.logits_all = true;
+
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
-    params.logits_all = true;
-
     const int32_t n_ctx = params.n_ctx;
 
     if (n_ctx <= 0) {
@@ -2006,9 +2008,6 @@ int main(int argc, char ** argv) {
     fprintf(stderr, "%s: seed  = %u\n", __func__, params.seed);
 
     std::mt19937 rng(params.seed);
-    if (params.random_prompt) {
-        params.prompt = gpt_random_prompt(rng);
-    }
 
     llama_backend_init();
     llama_numa_init(params.numa);
@@ -2027,6 +2026,7 @@ int main(int argc, char ** argv) {
     }
 
     const int n_ctx_train = llama_n_ctx_train(model);
+
     if (params.n_ctx > n_ctx_train) {
         fprintf(stderr, "%s: warning: model was trained on only %d context tokens (%d specified)\n",
                 __func__, n_ctx_train, params.n_ctx);
@@ -2035,7 +2035,7 @@ int main(int argc, char ** argv) {
     // print system information
     {
         fprintf(stderr, "\n");
-        fprintf(stderr, "%s\n", get_system_info(params).c_str());
+        fprintf(stderr, "%s\n", gpt_params_get_system_info(params).c_str());
     }
 
     struct results_perplexity results;
diff --git a/examples/quantize/README.md b/examples/quantize/README.md
index 8a10365c0..b78ece4e7 100644
--- a/examples/quantize/README.md
+++ b/examples/quantize/README.md
@@ -1,6 +1,8 @@
 # quantize
 
-TODO
+You can also use the [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space on Hugging Face to build your own quants without any setup.
+
+Note: It is synced from llama.cpp `main` every 6 hours.
 
 ## Llama 2 7B
 
diff --git a/examples/quantize/quantize.cpp b/examples/quantize/quantize.cpp
index 909eab283..28584e14b 100644
--- a/examples/quantize/quantize.cpp
+++ b/examples/quantize/quantize.cpp
@@ -259,7 +259,7 @@ int main(int argc, char ** argv) {
                 usage(argv[0]);
             }
         } else if (strcmp(argv[arg_idx], "--override-kv") == 0) {
-            if (arg_idx == argc-1 || !parse_kv_override(argv[++arg_idx], kv_overrides)) {
+            if (arg_idx == argc-1 || !string_parse_kv_override(argv[++arg_idx], kv_overrides)) {
                 usage(argv[0]);
             }
         } else if (strcmp(argv[arg_idx], "--allow-requantize") == 0) {
@@ -284,7 +284,7 @@ int main(int argc, char ** argv) {
             } else {
                 usage(argv[0]);
             }
-        } else if (strcmp(argv[arg_idx], "--keep-split")) {
+        } else if (strcmp(argv[arg_idx], "--keep-split") == 0) {
             params.keep_split = true;
         } else {
             usage(argv[0]);
diff --git a/examples/quantize/tests.sh b/examples/quantize/tests.sh
index 160c12bee..38e28ffc3 100644
--- a/examples/quantize/tests.sh
+++ b/examples/quantize/tests.sh
@@ -41,23 +41,23 @@ $SPLIT --split-max-tensors 28  $WORK_PATH/gemma-1.1-2b-it.Q8_0.gguf $WORK_PATH/g
 echo PASS
 echo
 
-# 3. Requant model with '--keep_split'
-$QUANTIZE --allow-requantize --keep_split $WORK_PATH/ggml-model-split-00001-of-00006.gguf $WORK_PATH/ggml-model-requant.gguf Q4_K
+# 3. Requant model with '--keep-split'
+$QUANTIZE --allow-requantize --keep-split $WORK_PATH/ggml-model-split-00001-of-00006.gguf $WORK_PATH/ggml-model-requant.gguf Q4_K
 echo PASS
 echo
 
 # 3a. Test the requanted model is loading properly
-$MAIN --model $WORK_PATH/ggml-model-requant-00001-of-00006.gguf --random-prompt --n-predict 32
+$MAIN --model $WORK_PATH/ggml-model-requant-00001-of-00006.gguf --n-predict 32
 echo PASS
 echo
 
-# 4. Requant mode without '--keep_split'
+# 4. Requant mode without '--keep-split'
 $QUANTIZE --allow-requantize $WORK_PATH/ggml-model-split-00001-of-00006.gguf $WORK_PATH/ggml-model-requant-merge.gguf Q4_K
 echo PASS
 echo
 
 # 4b. Test the requanted model is loading properly
-$MAIN --model $WORK_PATH/ggml-model-requant-merge.gguf --random-prompt --n-predict 32
+$MAIN --model $WORK_PATH/ggml-model-requant-merge.gguf --n-predict 32
 echo PASS
 echo
 
diff --git a/examples/retrieval/retrieval.cpp b/examples/retrieval/retrieval.cpp
index 5ba71e76a..55b7b2f70 100644
--- a/examples/retrieval/retrieval.cpp
+++ b/examples/retrieval/retrieval.cpp
@@ -4,72 +4,12 @@
 #include <algorithm>
 #include <fstream>
 
-struct retrieval_params {
-    std::vector<std::string> context_files; // context files to embed
-    int32_t chunk_size            = 64;     // chunk size for context embedding
-    std::string chunk_separator   = "\n";   // chunk separator for context embedding
-};
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
 
-static void retrieval_params_print_usage(int argc, char ** argv, gpt_params & gpt_params, retrieval_params & params) {
-    gpt_print_usage(argc, argv, gpt_params);
-    printf("retrieval options:\n");
-    printf("  --context-file FNAME  file containing context to embed.\n");
-    printf("                        specify multiple files by providing --context-file option multiple times.\n");
-    printf("  --chunk-size N        minimum length of embedded text chunk (default:%d)\n", params.chunk_size);
-    printf("  --chunk-separator STRING\n");
-    printf("                        string to separate chunks (default: \"\\n\")\n");
-    printf("\n");
-}
-
-static void retrieval_params_parse(int argc, char ** argv, gpt_params & gpt_params, retrieval_params & retrieval_params) {
-    int i = 1;
-    std::string arg;
-    while (i < argc) {
-        arg = argv[i];
-        bool invalid_gpt_param = false;
-        if(gpt_params_find_arg(argc, argv, argv[i], gpt_params, i, invalid_gpt_param)) {
-            if (invalid_gpt_param) {
-                fprintf(stderr, "error: invalid argument: %s\n", arg.c_str());
-                retrieval_params_print_usage(argc, argv, gpt_params, retrieval_params);
-                exit(1);
-            }
-            // option was parsed by gpt_params_find_arg
-        } else if (arg == "--context-file") {
-            if (++i >= argc) {
-                fprintf(stderr, "error: missing argument for --context-file\n");
-                retrieval_params_print_usage(argc, argv, gpt_params, retrieval_params);
-                exit(1);
-            }
-            std::ifstream file(argv[i]);
-            if (!file) {
-                fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
-                retrieval_params_print_usage(argc, argv, gpt_params, retrieval_params);
-                exit(1);
-            }
-            // store the external file name in params
-            retrieval_params.context_files.push_back(argv[i]);
-        } else if (arg == "--chunk-size") {
-            if (++i >= argc) {
-                fprintf(stderr, "error: missing argument for --chunk-size\n");
-                retrieval_params_print_usage(argc, argv, gpt_params, retrieval_params);
-                exit(1);
-            }
-            retrieval_params.chunk_size = std::stoi(argv[i]);
-        } else if (arg == "--chunk-separator") {
-            if (++i >= argc) {
-                fprintf(stderr, "error: missing argument for --chunk-separator\n");
-                retrieval_params_print_usage(argc, argv, gpt_params, retrieval_params);
-                exit(1);
-            }
-            retrieval_params.chunk_separator = argv[i];
-        } else {
-            // unknown argument
-            fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
-            retrieval_params_print_usage(argc, argv, gpt_params, retrieval_params);
-            exit(1);
-        }
-        i++;
-    }
+    LOG_TEE("\nexample usage:\n");
+    LOG_TEE("\n    %s --model ./models/bge-base-en-v1.5-f16.gguf --top-k 3 --context-file README.md --context-file License --chunk-size 100 --chunk-separator .\n", argv[0]);
+    LOG_TEE("\n");
 }
 
 struct chunk {
@@ -171,33 +111,35 @@ static void batch_decode(llama_context * ctx, llama_batch & batch, float * outpu
 
 int main(int argc, char ** argv) {
     gpt_params params;
-    retrieval_params retrieval_params;
 
-    retrieval_params_parse(argc, argv, params, retrieval_params);
+    if (!gpt_params_parse(argc, argv, params)) {
+        print_usage(argc, argv, params);
+        return 1;
+    }
 
     // For BERT models, batch size must be equal to ubatch size
     params.n_ubatch = params.n_batch;
+    params.embedding = true;
 
-    if (retrieval_params.chunk_size <= 0) {
+    if (params.chunk_size <= 0) {
         fprintf(stderr, "chunk_size must be positive\n");
         return 1;
     }
-    if (retrieval_params.context_files.empty()) {
+    if (params.context_files.empty()) {
         fprintf(stderr, "context_files must be specified\n");
         return 1;
     }
-    params.embedding = true;
 
     print_build_info();
 
     printf("processing files:\n");
-    for (auto & context_file : retrieval_params.context_files) {
+    for (auto & context_file : params.context_files) {
         printf("%s\n", context_file.c_str());
     }
 
     std::vector<chunk> chunks;
-    for (auto & context_file : retrieval_params.context_files) {
-        std::vector<chunk> file_chunk = chunk_file(context_file, retrieval_params.chunk_size, retrieval_params.chunk_separator);
+    for (auto & context_file : params.context_files) {
+        std::vector<chunk> file_chunk = chunk_file(context_file, params.chunk_size, params.chunk_separator);
         chunks.insert(chunks.end(), file_chunk.begin(), file_chunk.end());
     }
     printf("Number of chunks: %ld\n", chunks.size());
@@ -226,7 +168,7 @@ int main(int argc, char ** argv) {
     // print system information
     {
         fprintf(stderr, "\n");
-        fprintf(stderr, "%s\n", get_system_info(params).c_str());
+        fprintf(stderr, "%s\n", gpt_params_get_system_info(params).c_str());
     }
 
     // max batch size
@@ -242,7 +184,7 @@ int main(int argc, char ** argv) {
             return 1;
         }
         // add eos if not present
-        if (inp.empty() || inp.back() != llama_token_eos(model)) {
+        if (llama_token_eos(model) >= 0 && (inp.empty() || inp.back() != llama_token_eos(model))) {
             inp.push_back(llama_token_eos(model));
         }
         chunk.tokens = inp;
diff --git a/examples/rpc/CMakeLists.txt b/examples/rpc/CMakeLists.txt
new file mode 100644
index 000000000..ae48fb98d
--- /dev/null
+++ b/examples/rpc/CMakeLists.txt
@@ -0,0 +1,2 @@
+add_executable(rpc-server rpc-server.cpp)
+target_link_libraries(rpc-server PRIVATE ggml llama)
diff --git a/examples/rpc/README.md b/examples/rpc/README.md
new file mode 100644
index 000000000..eeec71a8e
--- /dev/null
+++ b/examples/rpc/README.md
@@ -0,0 +1,74 @@
+## Overview
+
+The `rpc-server` allows  running `ggml` backend on a remote host.
+The RPC backend communicates with one or several instances of `rpc-server` and offloads computations to them.
+This can be used for distributed LLM inference with `llama.cpp` in the following way:
+
+```mermaid
+flowchart TD
+    rpcb---|TCP|srva
+    rpcb---|TCP|srvb
+    rpcb-.-|TCP|srvn
+    subgraph hostn[Host N]
+    srvn[rpc-server]-.-backend3["Backend (CUDA,Metal,etc.)"]
+    end
+    subgraph hostb[Host B]
+    srvb[rpc-server]---backend2["Backend (CUDA,Metal,etc.)"]
+    end
+    subgraph hosta[Host A]
+    srva[rpc-server]---backend["Backend (CUDA,Metal,etc.)"]
+    end
+    subgraph host[Main Host]
+    ggml[llama.cpp]---rpcb[RPC backend]
+    end
+    style hostn stroke:#66,stroke-width:2px,stroke-dasharray: 5 5
+```
+
+Each host can run a different backend, e.g. one with CUDA and another with Metal.
+You can also run multiple `rpc-server` instances on the same host, each with a different backend.
+
+## Usage
+
+On each host, build the corresponding backend with `cmake` and add `-DLLAMA_RPC=ON` to the build options.
+For example, to build the CUDA backend with RPC support:
+
+```bash
+mkdir build-rpc-cuda
+cd build-rpc-cuda
+cmake .. -DLLAMA_CUDA=ON -DLLAMA_RPC=ON
+cmake --build . --config Release
+```
+
+Then, start the `rpc-server` with the backend:
+
+```bash
+$ bin/rpc-server -p 50052
+create_backend: using CUDA backend
+ggml_cuda_init: GGML_CUDA_FORCE_MMQ:   no
+ggml_cuda_init: CUDA_USE_TENSOR_CORES: yes
+ggml_cuda_init: found 1 CUDA devices:
+  Device 0: NVIDIA T1200 Laptop GPU, compute capability 7.5, VMM: yes
+Starting RPC server on 0.0.0.0:50052
+```
+
+When using the CUDA backend, you can specify the device with the `CUDA_VISIBLE_DEVICES` environment variable, e.g.:
+```bash
+$ CUDA_VISIBLE_DEVICES=0 bin/rpc-server -p 50052
+```
+This way you can run multiple `rpc-server` instances on the same host, each with a different CUDA device.
+
+
+On the main host build `llama.cpp` only with `-DLLAMA_RPC=ON`:
+
+```bash
+mkdir build-rpc
+cd build-rpc
+cmake .. -DLLAMA_RPC=ON
+cmake --build . --config Release
+```
+
+Finally, use the `--rpc` option to specify the host and port of each `rpc-server`:
+
+```bash
+$ bin/main -m ../models/tinyllama-1b/ggml-model-f16.gguf -p "Hello, my name is" --repeat-penalty 1.0 -n 64 --rpc 192.168.88.10:50052,192.168.88.11:50052 -ngl 99
+```
diff --git a/examples/rpc/rpc-server.cpp b/examples/rpc/rpc-server.cpp
new file mode 100644
index 000000000..62d828250
--- /dev/null
+++ b/examples/rpc/rpc-server.cpp
@@ -0,0 +1,144 @@
+#ifdef GGML_USE_CUDA
+#include "ggml-cuda.h"
+#endif
+
+#ifdef GGML_USE_METAL
+#include "ggml-metal.h"
+#endif
+
+#ifdef GGML_USE_SYCL
+#include "ggml-sycl.h"
+#endif
+
+#include "ggml-rpc.h"
+#ifdef _WIN32
+#  include <windows.h>
+#else
+#  include <unistd.h>
+#endif
+#include <string>
+#include <stdio.h>
+
+struct rpc_server_params {
+    std::string host        = "0.0.0.0";
+    int         port        = 50052;
+    size_t      backend_mem = 0;
+};
+
+static void print_usage(int /*argc*/, char ** argv, rpc_server_params params) {
+    fprintf(stderr, "Usage: %s [options]\n\n", argv[0]);
+    fprintf(stderr, "options:\n");
+    fprintf(stderr, "  -h, --help            show this help message and exit\n");
+    fprintf(stderr, "  -H HOST, --host HOST  host to bind to (default: %s)\n", params.host.c_str());
+    fprintf(stderr, "  -p PORT, --port PORT  port to bind to (default: %d)\n", params.port);
+    fprintf(stderr, "  -m MEM, --mem MEM     backend memory size (in MB)\n");
+    fprintf(stderr, "\n");
+}
+
+static bool rpc_server_params_parse(int argc, char ** argv, rpc_server_params & params) {
+    std::string arg;
+    for (int i = 1; i < argc; i++) {
+        arg = argv[i];
+        if (arg == "-H" || arg == "--host") {
+            if (++i >= argc) {
+                return false;
+            }
+            params.host = argv[i];
+        } else if (arg == "-p" || arg == "--port") {
+            if (++i >= argc) {
+                return false;
+            }
+            params.port = std::stoi(argv[i]);
+            if (params.port <= 0 || params.port > 65535) {
+                return false;
+            }
+        } else if (arg == "-m" || arg == "--mem") {
+            if (++i >= argc) {
+                return false;
+            }
+            params.backend_mem = std::stoul(argv[i]) * 1024 * 1024;
+        } else if (arg == "-h" || arg == "--help") {
+            print_usage(argc, argv, params);
+            exit(0);
+        } else {
+            fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
+            print_usage(argc, argv, params);
+            exit(0);
+        }
+    }
+    return true;
+}
+
+static ggml_backend_t create_backend() {
+    ggml_backend_t backend = NULL;
+#ifdef GGML_USE_CUDA
+    fprintf(stderr, "%s: using CUDA backend\n", __func__);
+    backend = ggml_backend_cuda_init(0); // init device 0
+    if (!backend) {
+        fprintf(stderr, "%s: ggml_backend_cuda_init() failed\n", __func__);
+    }
+#elif GGML_USE_METAL
+    fprintf(stderr, "%s: using Metal backend\n", __func__);
+    backend = ggml_backend_metal_init();
+    if (!backend) {
+        fprintf(stderr, "%s: ggml_backend_metal_init() failed\n", __func__);
+    }
+#elif GGML_USE_SYCL
+    fprintf(stderr, "%s: using SYCL backend\n", __func__);
+    backend = ggml_backend_sycl_init(0); // init device 0
+    if (!backend) {
+        fprintf(stderr, "%s: ggml_backend_sycl_init() failed\n", __func__);
+    }
+#endif
+
+    // if there aren't GPU Backends fallback to CPU backend
+    if (!backend) {
+        fprintf(stderr, "%s: using CPU backend\n", __func__);
+        backend = ggml_backend_cpu_init();
+    }
+    return backend;
+}
+
+static void get_backend_memory(size_t * free_mem, size_t * total_mem) {
+#ifdef GGML_USE_CUDA
+    ggml_backend_cuda_get_device_memory(0, free_mem, total_mem);
+#else
+    #ifdef _WIN32
+        MEMORYSTATUSEX status;
+        status.dwLength = sizeof(status);
+        GlobalMemoryStatusEx(&status);
+        *total_mem = status.ullTotalPhys;
+        *free_mem = status.ullAvailPhys;
+    #else
+        long pages = sysconf(_SC_PHYS_PAGES);
+        long page_size = sysconf(_SC_PAGE_SIZE);
+        *total_mem = pages * page_size;
+        *free_mem = *total_mem;
+    #endif
+#endif
+}
+
+int main(int argc, char * argv[]) {
+    rpc_server_params params;
+    if (!rpc_server_params_parse(argc, argv, params)) {
+        fprintf(stderr, "Invalid parameters\n");
+        return 1;
+    }
+    ggml_backend_t backend = create_backend();
+    if (!backend) {
+        fprintf(stderr, "Failed to create backend\n");
+        return 1;
+    }
+    std::string endpoint = params.host + ":" + std::to_string(params.port);
+    size_t free_mem, total_mem;
+    if (params.backend_mem > 0) {
+        free_mem = params.backend_mem;
+        total_mem = params.backend_mem;
+    } else {
+        get_backend_memory(&free_mem, &total_mem);
+    }
+    printf("Starting RPC server on %s, backend memory: %zu MB\n", endpoint.c_str(), free_mem / (1024 * 1024));
+    start_rpc_server(backend, endpoint.c_str(), free_mem, total_mem);
+    ggml_backend_free(backend);
+    return 0;
+}
diff --git a/examples/save-load-state/save-load-state.cpp b/examples/save-load-state/save-load-state.cpp
index c3b766882..00c2277ac 100644
--- a/examples/save-load-state/save-load-state.cpp
+++ b/examples/save-load-state/save-load-state.cpp
@@ -11,6 +11,7 @@ int main(int argc, char ** argv) {
     params.prompt = "The quick brown fox";
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
diff --git a/examples/server/CMakeLists.txt b/examples/server/CMakeLists.txt
index 4b89c5302..dab709619 100644
--- a/examples/server/CMakeLists.txt
+++ b/examples/server/CMakeLists.txt
@@ -8,9 +8,20 @@ set(TARGET_SRCS
     httplib.h
 )
 set(PUBLIC_ASSETS
+    colorthemes.css
+    style.css
+    theme-beeninorder.css
+    theme-ketivah.css
+    theme-mangotango.css
+    theme-playground.css
+    theme-polarnight.css
+    theme-snowstorm.css
     index.html
+    index-new.html
     index.js
     completion.js
+    system-prompts.js
+    prompt-formats.js
     json-schema-to-grammar.mjs
 )
 foreach(asset ${PUBLIC_ASSETS})
diff --git a/examples/server/README.md b/examples/server/README.md
index 650317991..0c3db8c84 100644
--- a/examples/server/README.md
+++ b/examples/server/README.md
@@ -17,8 +17,9 @@ The project is under active development, and we are [looking for feedback and co
 
 **Command line options:**
 
-- `--threads N`, `-t N`: Set the number of threads to use during generation. Not used if model layers are offloaded to GPU. The server is using batching. This parameter is used only if one token is to be processed on CPU backend.
-- `-tb N, --threads-batch N`: Set the number of threads to use during batch and prompt processing. If not specified, the number of threads will be set to the number of threads used for generation. Not used if model layers are offloaded to GPU.
+- `-v`, `--verbose`: Enable verbose server output. When using the `/completion` endpoint, this includes the tokenized prompt, the full request and the full response.
+- `-t N`, `--threads N`: Set the number of threads to use by CPU layers during generation. Not used by model layers that are offloaded to GPU. This option has no effect when using the maximum number of GPU layers. Default: `std::thread::hardware_concurrency()` (number of CPU cores).
+- `-tb N, --threads-batch N`: Set the number of threads to use by CPU layers during batch and prompt processing (>= 32 tokens). This option has no effect if a GPU is available. Default: `--threads`.
 - `--threads-http N`: Number of threads in the http server pool to process requests. Default: `max(std::thread::hardware_concurrency() - 1, --parallel N + 2)`
 - `-m FNAME`, `--model FNAME`: Specify the path to the LLaMA model file (e.g., `models/7B/ggml-model.gguf`).
 - `-mu MODEL_URL --model-url MODEL_URL`: Specify a remote http url to download the file. Default: unused
@@ -36,9 +37,7 @@ The project is under active development, and we are [looking for feedback and co
 - `--numa STRATEGY`: Attempt one of the below optimization strategies that may help on some NUMA systems
 - `--numa distribute`: Spread execution evenly over all nodes
 - `--numa isolate`: Only spawn threads on CPUs on the node that execution started on
-- `--numa numactl`: Use the CPU map provided by numactl. If run without this previously, it is recommended to drop the system
-page cache before using this. See https://github.com/ggerganov/llama.cpp/issues/1437
-
+- `--numa numactl`: Use the CPU map provided by numactl. If run without this previously, it is recommended to drop the system page cache before using this. See https://github.com/ggerganov/llama.cpp/issues/1437
 - `--numa`: Attempt optimizations that may help on some NUMA systems.
 - `--lora FNAME`: Apply a LoRA (Low-Rank Adaptation) adapter to the model (implies --no-mmap). This allows you to adapt the pretrained model to specific tasks or domains.
 - `--lora-base FNAME`: Optional model to use as a base for the layers modified by the LoRA adapter. This flag is used in conjunction with the `--lora` flag, and specifies the base model for the adaptation.
@@ -48,8 +47,8 @@ page cache before using this. See https://github.com/ggerganov/llama.cpp/issues/
 - `--path`: Path from which to serve static files. Default: disabled
 - `--api-key`: Set an api key for request authorization. By default, the server responds to every request. With an api key set, the requests must have the Authorization header set with the api key as Bearer token. May be used multiple times to enable multiple valid keys.
 - `--api-key-file`: Path to file containing api keys delimited by new lines. If set, requests must include one of the keys for access. May be used in conjunction with `--api-key`s.
-- `--embedding`: Enable embedding extraction. Default: disabled
-- `-np N`, `--parallel N`: Set the number of slots for process requests. Default: `1`
+- `--embeddings`: Enable embedding vector output and the OAI compatible endpoint /v1/embeddings. Physical batch size (`--ubatch-size`) must be carefully defined. Default: disabled
+- `-np N`, `--parallel N`: Set the number of slots for process requests. Default: `1`. Values > 1 will allow for higher throughput with multiple parallel requests but the results will **not** be deterministic due to differences in rounding error.
 - `-cb`, `--cont-batching`: Enable continuous batching (a.k.a dynamic batching).  Default: disabled
 - `-spf FNAME`, `--system-prompt-file FNAME` Set a file to load a system prompt (initial prompt of all slots). This is useful for chat applications. [See more](#change-system-prompt-on-runtime)
 - `--mmproj MMPROJ_FILE`: Path to a multimodal projector file for LLaVA.
diff --git a/examples/server/public/colorthemes.css b/examples/server/public/colorthemes.css
new file mode 100755
index 000000000..b1e2b8b70
--- /dev/null
+++ b/examples/server/public/colorthemes.css
@@ -0,0 +1,402 @@
+@import url("theme-snowstorm.css");
+@import url("theme-polarnight.css");
+@import url("theme-ketivah.css");
+@import url("theme-mangotango.css");
+@import url("theme-playground.css");
+@import url("theme-beeninorder.css");
+
+:root {
+/* ---------- PRIMARY COLORS ----------------- */
+--primary-color-1: hsl(217.5, 26.7%, 94.1%);
+    --primary-color-1-hue:             217.5;
+    --primary-color-1-saturation:      26.7%;
+    --primary-color-1-lightness:       94.1%;
+
+--primary-color-2: hsl(218.2, 26.8%, 92.0%);
+    --primary-color-2-hue:             218.2;
+    --primary-color-2-saturation:      26.8%;
+    --primary-color-2-lightness:       92.0%;
+
+--primary-color-3: hsl(218.8, 27.9%, 88.0%);
+    --primary-color-3-hue:             218.8;
+    --primary-color-3-saturation:      27.9%;
+    --primary-color-3-lightness:       88.0%;
+
+--primary-color-4: hsl(218.8, 18.3%, 81.8%);
+    --primary-color-4-hue:             218.8;
+    --primary-color-4-saturation:      18.3%;
+    --primary-color-4-lightness:       81.8%;
+
+
+/* ---------- SECONDARY COLORS --------------- */
+--secondary-color-1: hsl(220.0, 16.4%, 21.6%);
+    --secondary-color-1-hue:             220.0;
+    --secondary-color-1-saturation:      16.4%;
+    --secondary-color-1-lightness:       21.6%;
+
+--secondary-color-2: hsl(221.7, 16.3%, 27.6%);
+    --secondary-color-2-hue:             221.7;
+    --secondary-color-2-saturation:      16.3%;
+    --secondary-color-2-lightness:       27.6%;
+
+--secondary-color-3: hsl(220.0, 16.8%, 31.6%);
+    --secondary-color-3-hue:             220.0;
+    --secondary-color-3-saturation:      16.8%;
+    --secondary-color-3-lightness:       31.6%;
+
+--secondary-color-4: hsl(220.0, 16.5%, 35.7%);
+    --secondary-color-4-hue:             220.0;
+    --secondary-color-4-saturation:      16.5%;
+    --secondary-color-4-lightness:       35.7%;
+
+
+
+/* ----------- NUANCES COLORS ---------------- */
+--theme-nuance-color-1: hsl(178.7, 25.1%, 64.9%);
+    --theme-nuance-color-1-hue:             178.7;
+    --theme-nuance-color-1-saturation:      25.1%;
+    --theme-nuance-color-1-lightness:       64.9%;
+
+--theme-nuance-color-2: hsl(193.3, 43.4%, 67.5%);
+    --theme-nuance-color-2-hue:             193.3;
+    --theme-nuance-color-2-saturation:      43.4%;
+    --theme-nuance-color-2-lightness:       67.5%;
+
+--theme-nuance-color-3: hsl(210.0, 34.0%, 63.1%);
+    --theme-nuance-color-3-hue:             210.0;
+    --theme-nuance-color-3-saturation:      34.0%;
+    --theme-nuance-color-3-lightness:       63.1%;
+
+--theme-nuance-color-4: hsl(213.1, 32.0%, 52.2%);
+    --theme-nuance-color-4-hue:             213.1;
+    --theme-nuance-color-4-saturation:      32.0%;
+    --theme-nuance-color-4-lightness:       52.2%;
+
+
+
+/* ----------- ROYGP COLORS ------------------ */
+--theme-red-color:    hsl(32.5, 80%, 50%);
+--theme-orange-color: hsl(32.5, 70%, 45%);
+--theme-yellow-color: hsl(40.0,   0.6%, 73.3%);
+--theme-green-color:  hsl(92.4,  27.8%, 64.7%);
+--theme-purple-color: hsl(311.1, 20.2%, 63.1%);
+
+
+
+/* ------------------------------------------- */
+--background-color-1:    var(--primary-color-1);
+--background-color-2:    var(--primary-color-2);
+--background-color-3:    var(--primary-color-3);
+--background-color-4:    var(--primary-color-4);
+
+--border-color-1:        var(--primary-color-2);
+--border-color-2:        var(--primary-color-3);
+--border-color-3:        var(--primary-color-4);
+
+--border-focus-color:    var(--theme-nuance-color-2);
+--border-focus-shadow:   var(--theme-nuance-color-1);
+
+--text-color-plain:      var(--secondary-color-1);
+--text-color-subtile-1:  var(--secondary-color-2);
+--text-color-subtile-2:  var(--secondary-color-3);
+
+--code-background-color: var(--secondary-color-2);
+--code-text-color:       var(--primary-color-2);
+
+--ui-range-thumb-color:  var(--theme-nuance-color-3);
+--ui-range-thumb-border: var(--ui-ranger-thumb-color);
+
+--textarea-border-color: var(--secondary-color-4);
+
+--chat-id-color:         var(--theme-nuance-color-4);
+
+
+
+/* ------------------------------------------- */
+--button-alert-text-hover:       var(--primary-color-1);
+--button-alert-color-hover:      var(--theme-orange-color);
+--button-alert-border-hover:     var(--theme-orange-color);
+
+--button-alert-text-active:      var(--primary-color-1);
+--button-alert-color-active:     var(--theme-red-color);
+--button-alert-border-active:    var(--theme-red-color);
+
+
+
+/* ----------- PRIMARY BUTTONS --------------- */
+/* - button should immediately catch the eye - */
+--button-primary-text:   var(--secondary-color-1);
+--button-primary-color:  var(--theme-nuance-color-3);
+--button-primary-border: var(--theme-nuance-color-3);
+
+
+/* ---------hover---------- */
+--button-primary-text-hover:
+    hsl(217.5,
+    calc(var(--secondary-color-1-saturation) + 35%),
+    calc(var(--secondary-color-1-lightness)  - 30%));
+
+--button-primary-color-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) -  2%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+--button-primary-border-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) -  2%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+
+/* ---------active--------- */
+--button-primary-text-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  + 35%));
+
+--button-primary-color-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 10%),
+    calc(var(--theme-nuance-color-3-lightness)  - 25%));
+
+--button-primary-border-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 10%),
+    calc(var(--theme-nuance-color-3-lightness)  - 25%));
+
+
+
+/* ---------- SECONDARY BUTTONS -------------- */
+/* these should NOT immediately catch the eye  */
+--button-secondary-text:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  - 50%));
+
+--button-secondary-color:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  + 10%));
+
+--button-secondary-border:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  + 10%));
+
+
+/* ---------hover---------- */
+--button-secondary-text-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  - 80%));
+
+--button-secondary-color-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 22%),
+    calc(var(--theme-nuance-color-3-lightness)  +  1%));
+
+--button-secondary-border-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 22%),
+    calc(var(--theme-nuance-color-3-lightness)  +  1%));
+
+
+/* ---------active--------- */
+--button-secondary-text-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) + 40%),
+    calc(var(--theme-nuance-color-3-lightness)  - 55%));
+
+--button-secondary-color-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 30%),
+    calc(var(--theme-nuance-color-3-lightness)  -  5%));
+
+--button-secondary-border-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 30%),
+    calc(var(--theme-nuance-color-3-lightness)  -  5%));
+
+
+
+/* ---------- TERTIARY BUTTONS --------------- */
+/* ---------- disabled buttons --------------- */
+--button-tertiary-text:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  -  5%));
+
+--button-tertiary-color:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  + 20%));
+
+--button-tertiary-border:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  + 20%));
+
+/* ---------hover---------- */
+--button-tertiary-text-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  -  5%));
+
+--button-tertiary-color-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  + 20%));
+
+--button-tertiary-border-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  + 20%));
+}
+
+/*
+
+.theme-template {
+
+
+    If light theme: should go from bright to darker
+    If dark theme: should go from dark to brighter
+    ideally this should not be anything but steps of
+    gray or slightly variants from it
+
+    --primary-color-1: #2E3440;
+    --primary-color-2: #3B4252;
+    --primary-color-3: #434C5E;
+    --primary-color-4: #4C566A;
+
+
+
+    If light theme: should go from dark to brighter
+    If dark theme: should go from bright to darker
+    ideally this should not be anything but steps of
+    gray or slightly variants from it
+
+    --secondary-color-1: #ECEFF4;
+    --secondary-color-2: #E5E9F0;
+    --secondary-color-3: #D8DEE9;
+    --secondary-color-4: #C8CED9;
+
+
+
+    Choose wisely nuance colors. It is not easy to find
+    4 harmonizing nuance colors. But keep in mind, that
+    only one accent color could work too.
+
+    --theme-nuance-color-1: #8FBCBB;
+    --theme-nuance-color-2: #88C0D0;
+    --theme-nuance-color-3: #81A1C1;
+    --theme-nuance-color-4: #5E81AC;
+
+
+
+    adapt the color red, orange, yellow, green,
+    purple to the 'mood' of your overall design
+    e.g is it low-contrast? vibrant? dynamic? etc
+
+    --theme-red-color:    #BF616A;
+    --theme-orange-color: #D08770;
+    --theme-yellow-color: #EBCB8B;
+    --theme-green-color:  #A3BE8C;
+    --theme-purple-color: #B48EAD;
+
+
+
+NOTE: comment all those line `--- ...` out
+------------------------------------------------
+--background-color-1:
+--background-color-2:
+--background-color-3:
+--background-color-4:
+
+--border-color-1:
+--border-color-2:
+--border-color-3:
+
+--border-focus-color:
+--border-focus-shadow:
+
+--text-color-plain:
+--text-color-subtile-1:
+--text-color-subtile-2:
+
+--code-background-color:
+--code-text-color:
+
+--ui-range-thumb-color:
+--ui-range-thumb-border:
+
+--textarea-border-color:
+
+
+
+-------------------------------------------
+--button-alert-text-hover:
+--button-alert-color-hover:
+--button-alert-border-hover:
+
+--button-alert-text-active:
+--button-alert-color-active:
+--button-alert-border-active:
+
+
+
+----------- PRIMARY -----------------------
+--button should immediately catch the eye--
+
+--button-primary-text:
+--button-primary-color:
+--button-primary-border:
+
+
+---------hover----------
+--button-primary-text-hover:
+--button-primary-color-hover:
+--button-primary-border-hover:
+
+
+---------active---------
+--button-primary-text-active:
+--button-primary-color-active:
+--button-primary-border-active:
+
+
+
+------------ SECONDARY ------------------------
+--button should NOT immediately catch the eye--
+
+--button-secondary-text:
+--button-secondary-color:
+--button-secondary-border:
+
+
+---------hover----------
+--button-secondary-text-hover:
+--button-secondary-color-hover:
+--button-secondary-border-hover:
+
+
+---------active---------
+--button-secondary-text-active:
+--button-secondary-color-active:
+--button-secondary-border-active:
+
+
+
+---------- TERTIARY -----------------------
+---------- disabled buttons ---------------
+--button-tertiary-text:
+--button-tertiary-color:
+--button-tertiary-border:
+
+
+---------hover----------
+--button-tertiary-text:
+--button-tertiary-color:
+--button-tertiary-border:
+
+}
+
+*/
diff --git a/examples/server/public/index-new.html b/examples/server/public/index-new.html
new file mode 100644
index 000000000..d571c2779
--- /dev/null
+++ b/examples/server/public/index-new.html
@@ -0,0 +1,1178 @@
+<!DOCTYPE html>
+
+<html>
+
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
+  <meta name="color-scheme" content="light dark">
+  <title>llama.cpp - chat</title>
+
+  <link rel="icon" type="image/x-icon" href="favicon.ico">
+  <link rel="stylesheet" href="style.css">
+
+  <script type="module">
+    import {
+      html, h, signal, effect, computed, render, useSignal, useEffect, useRef, Component
+    } from '/index.js';
+
+    import { llama } from '/completion.js';
+    import { SchemaConverter } from '/json-schema-to-grammar.mjs';
+    import { promptFormats } from './prompt-formats.js';
+    import { systemPrompts } from './system-prompts.js'; // multilingual is wip
+    let selected_image = false;
+    var slot_id = -1;
+
+    const session = signal({
+      prompt: "",
+      template: "{{prompt}}\n{{history}}{{char}}",
+      historyTemplate: "{{name}}: {{message}}\n",
+      transcript: [],
+      type: "chat",  // "chat" | "completion"
+      char: "ASSISTANT",
+      user: "USER",
+      image_selected: ''
+    })
+
+    const params = signal({
+      n_predict: 358, // 358 is a nice number
+      temperature: 0.8, // adapt all following parameters to optimized min-p requierements. If for non-english, set to 0.6 or lower
+      repeat_last_n: 0, // 0 = disable penalty, -1 = context size
+      repeat_penalty: 1.0, // 1.0 = disabled
+      penalize_nl: false, // true only useful for infinite completion
+      top_k: 0, // <= 0 to use vocab size
+      top_p: 1.0, // 1.0 = disabled
+      min_p: 0.05, // 0 = disabled; recommended for non-english: ~ 0.4
+      tfs_z: 1.0, // 1.0 = disabled
+      typical_p: 1.0, // 1.0 = disabled
+      presence_penalty: 0.0, // 0.0 = disabled
+      frequency_penalty: 0.0, // 0.0 = disabled
+      mirostat: 0, // 0/1/2
+      mirostat_tau: 5, // target entropy
+      mirostat_eta: 0.1, // learning rate
+      grammar: '',
+      n_probs: 0, // no completion_probabilities,
+      min_keep: 0, // min probs from each sampler,
+      image_data: [],
+      cache_prompt: true,
+      api_key: ''
+    })
+
+
+
+    /* START: Support for storing prompt templates and parameters in browser's LocalStorage */
+
+    const local_storage_storageKey = "llamacpp_server_local_storage";
+
+    function local_storage_setDataFromObject(tag, content) {
+      localStorage.setItem(local_storage_storageKey + '/' + tag, JSON.stringify(content));
+    }
+
+    function local_storage_setDataFromRawText(tag, content) {
+      localStorage.setItem(local_storage_storageKey + '/' + tag, content);
+    }
+
+    function local_storage_getDataAsObject(tag) {
+      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
+      if (!item) {
+        return null;
+      } else {
+        return JSON.parse(item);
+      }
+    }
+
+    function local_storage_getDataAsRawText(tag) {
+      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
+      if (!item) {
+        return null;
+      } else {
+        return item;
+      }
+    }
+
+    // create a container for user templates and settings
+
+    const savedUserTemplates = signal({})
+    const selectedUserTemplate = signal({ name: '', template: { session: {}, params: {} } })
+
+    // let's import locally saved templates and settings if there are any
+    // user templates and settings are stored in one object
+    // in form of { "templatename": "templatedata" } and { "settingstemplatename":"settingsdata" }
+
+    console.log('Importing saved templates')
+
+    let importedTemplates = local_storage_getDataAsObject('user_templates')
+
+    if (importedTemplates) {
+      // saved templates were successfuly imported.
+
+      console.log('Processing saved templates and updating default template')
+      params.value = { ...params.value, image_data: [] };
+
+      //console.log(importedTemplates);
+      savedUserTemplates.value = importedTemplates;
+
+      //override default template
+      savedUserTemplates.value.default = { session: session.value, params: params.value }
+      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
+    } else {
+      // no saved templates detected.
+
+      console.log('Initializing LocalStorage and saving default template')
+
+      savedUserTemplates.value = { "default": { session: session.value, params: params.value } }
+      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
+    }
+
+    function userTemplateResetToDefault() {
+      console.log('Reseting themplate to default')
+      selectedUserTemplate.value.name = 'default';
+      selectedUserTemplate.value.data = savedUserTemplates.value['default'];
+    }
+
+    function userTemplateApply(t) {
+      session.value = t.data.session;
+      session.value = { ...session.value, image_selected: '' };
+      params.value = t.data.params;
+      params.value = { ...params.value, image_data: [] };
+    }
+
+    function userTemplateResetToDefaultAndApply() {
+      userTemplateResetToDefault()
+      userTemplateApply(selectedUserTemplate.value)
+    }
+
+    function userTemplateLoadAndApplyAutosaved() {
+      // get autosaved last used template
+      let lastUsedTemplate = local_storage_getDataAsObject('user_templates_last')
+
+      if (lastUsedTemplate) {
+
+        console.log('Autosaved template found, restoring')
+
+        selectedUserTemplate.value = lastUsedTemplate
+      }
+      else {
+
+        console.log('No autosaved template found, using default template')
+        // no autosaved last used template was found, so load from default.
+
+        userTemplateResetToDefault()
+      }
+
+      console.log('Applying template')
+      // and update internal data from templates
+
+      userTemplateApply(selectedUserTemplate.value)
+    }
+
+    //console.log(savedUserTemplates.value)
+    //console.log(selectedUserTemplate.value)
+
+    function userTemplateAutosave() {
+      console.log('Template Autosave...')
+      if (selectedUserTemplate.value.name == 'default') {
+        // we don't want to save over default template, so let's create a new one
+        let newTemplateName = 'UserTemplate-' + Date.now().toString()
+        let newTemplate = { 'name': newTemplateName, 'data': { 'session': session.value, 'params': params.value } }
+
+        console.log('Saving as ' + newTemplateName)
+
+        // save in the autosave slot
+        local_storage_setDataFromObject('user_templates_last', newTemplate)
+
+        // and load it back and apply
+        userTemplateLoadAndApplyAutosaved()
+      } else {
+        local_storage_setDataFromObject('user_templates_last', { 'name': selectedUserTemplate.value.name, 'data': { 'session': session.value, 'params': params.value } })
+      }
+    }
+
+    console.log('Checking for autosaved last used template')
+    userTemplateLoadAndApplyAutosaved()
+
+    /* END: Support for storing prompt templates and parameters in browser's LocalStorage */
+
+    const llamaStats = signal(null)
+    const controller = signal(null)
+
+    // currently generating a completion?
+    const generating = computed(() => controller.value != null)
+
+    // has the user started a chat?
+    const chatStarted = computed(() => session.value.transcript.length > 0)
+
+    const transcriptUpdate = (transcript) => {
+      session.value = {
+        ...session.value,
+        transcript
+      }
+    }
+
+    // simple template replace
+    const template = (str, extraSettings) => {
+      let settings = session.value;
+      if (extraSettings) {
+        settings = { ...settings, ...extraSettings };
+      }
+      return String(str).replaceAll(/\{\{(.*?)\}\}/g, (_, key) => template(settings[key]));
+    }
+
+    async function runLlama(prompt, llamaParams, char) {
+      const currentMessages = [];
+      const history = session.value.transcript;
+      if (controller.value) {
+        throw new Error("already running");
+      }
+      controller.value = new AbortController();
+      for await (const chunk of llama(prompt, llamaParams, { controller: controller.value })) {
+        const data = chunk.data;
+        if (data.stop) {
+          while (
+            currentMessages.length > 0 &&
+            currentMessages[currentMessages.length - 1].content.match(/\n$/) != null
+          ) {
+            currentMessages.pop();
+          }
+          transcriptUpdate([...history, [char, currentMessages]])
+          console.log("Completion finished: '", currentMessages.map(msg => msg.content).join(''), "', summary: ", data);
+        } else {
+          currentMessages.push(data);
+          slot_id = data.slot_id;
+          if (selected_image && !data.multimodal) {
+            alert("The server was not compiled for multimodal or the model projector can't be loaded.");            return;
+          }
+          transcriptUpdate([...history, [char, currentMessages]])
+        }
+        if (data.timings) {
+          // llamaStats.value = data.timings;
+          llamaStats.value = data;
+        }
+      }
+      controller.value = null;
+    }
+
+    // send message to server
+    const chat = async (msg) => {
+      if (controller.value) {
+        console.log('already running...');
+        return;
+      }
+    // just in case (e.g. llama2)
+    const suffix = session.value.userMsgSuffix || "";
+    const prefix = session.value.userMsgPrefix || "";
+    const userMsg = prefix + msg + suffix;
+
+      transcriptUpdate([...session.value.transcript, ["{{user}}", userMsg]])
+
+      let prompt = template(session.value.template, {
+        message: msg,
+        history: session.value.transcript.flatMap(
+          ([name, data]) =>
+            template(
+              session.value.historyTemplate,
+              {
+                name,
+                message: Array.isArray(data) ?
+                  data.map(msg => msg.content).join('').replace(/^\s/, '') :
+                  data,
+              }
+            )
+        ).join(''),
+      });
+      if (selected_image) {
+        prompt = `A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:[img-10]${msg}\nASSISTANT:`;
+      }
+      await runLlama(prompt, {
+        ...params.value,
+        slot_id: slot_id,
+        stop: ["</s>", "<|end|>", "<|eot_id|>", "<|end_of_text|>", "<|im_end|>", "<|EOT|>", "<|END_OF_TURN_TOKEN|>", "<|end_of_turn|>", "<|endoftext|>", template("{{char}}"), template("{{user}}")],
+      }, "{{char}}");
+    }
+
+    const runCompletion = () => {
+      if (controller.value) {
+        console.log('already running...');
+        return;
+      }
+      const { prompt } = session.value;
+      transcriptUpdate([...session.value.transcript, ["", prompt]]);
+      runLlama(prompt, {
+        ...params.value,
+        slot_id: slot_id,
+        stop: [],
+      }, "").finally(() => {
+        session.value.prompt = session.value.transcript.map(([_, data]) =>
+          Array.isArray(data) ? data.map(msg => msg.content).join('') : data
+        ).join('');
+        session.value.transcript = [];
+      })
+    }
+
+    const stop = (e) => {
+      e.preventDefault();
+      if (controller.value) {
+        controller.value.abort();
+        controller.value = null;
+      }
+    }
+
+    const reset = (e) => {
+      stop(e);
+      transcriptUpdate([]);
+    }
+
+    const uploadImage = (e) => {
+      e.preventDefault();
+      document.getElementById("fileInput").click();
+      document.getElementById("fileInput").addEventListener("change", function (event) {
+        const selectedFile = event.target.files[0];
+        if (selectedFile) {
+          const reader = new FileReader();
+          reader.onload = function () {
+            const image_data = reader.result;
+            session.value = { ...session.value, image_selected: image_data };
+            params.value = {
+              ...params.value, image_data: [
+                { data: image_data.replace(/data:image\/[^;]+;base64,/, ''), id: 10 }]
+            }
+          };
+          selected_image = true;
+          reader.readAsDataURL(selectedFile);
+        }
+      });
+    }
+
+    function MessageInput() {
+      const message = useSignal("")
+
+      const submit = (e) => {
+        stop(e);
+        chat(message.value);
+        message.value = "";
+      }
+
+      const enterSubmits = (event) => {
+        if (event.which === 13 && !event.shiftKey) {
+          submit(event);
+        }
+      }
+
+      return html`
+      <form onsubmit=${submit}>
+        <div class="chat-input-container">
+          <textarea
+            id="chat-input" placeholder="Say Something ... (Shift + Enter for new line)"
+            class="${generating.value ? 'loading' : null}"
+            oninput=${(e) => message.value = e.target.value}
+            onkeypress=${enterSubmits}
+            rows="2"
+            type="text"
+            value="${message}"
+          ></textarea>
+        </div>
+
+          <div class="right">
+            <button class="button-back" onclick=${reset}>Back</button>
+            <button onclick=${uploadImage}>Upload Image</button>
+            <button onclick=${stop} disabled=${!generating.value}>Stop</button>
+            <button type="submit" disabled=${generating.value}>Submit</button>
+          </div>
+        </form>
+      `
+    }
+
+    // the completion view needs some ux improvements
+    function CompletionControls() {
+      const submit = (e) => {
+        stop(e);
+        runCompletion();
+      }
+      return html`
+        <div class="right">
+          <button onclick=${submit} type="button" disabled=${generating.value}>Start</button>
+          <button onclick=${stop} disabled=${!generating.value}>Stop</button>
+          <button onclick=${reset}>Back</button>
+        </div>`;
+    }
+
+    const ChatLog = (props) => {
+      const messages = session.value.transcript;
+      const container = useRef(null)
+
+      useEffect(() => {
+        // scroll to bottom (if needed)
+        const parent = container.current.parentElement;
+        if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
+          parent.scrollTo(0, parent.scrollHeight)
+        }
+      }, [messages])
+
+      const isCompletionMode = session.value.type === 'completion'
+      const chatLine = ([user, data], index) => {
+        let message
+        const isArrayMessage = Array.isArray(data)
+        if (params.value.n_probs > 0 && isArrayMessage) {
+          message = html`<${Probabilities} data=${data} />`
+        } else {
+          const text = isArrayMessage ?
+            data.map(msg => msg.content).join('').replace(/^\s+/, '') :
+            data;
+          message = isCompletionMode ?
+            text :
+            html`<${Markdownish} text=${template(text)} />`
+        }
+        if (user) {
+          return html`<p key=${index}><strong class="chat-id-color">${template(user)}</strong> ${message}</p>`
+        } else {
+          return isCompletionMode ?
+            html`<span key=${index}>${message}</span>` :
+            html`<p key=${index}>${message}</p>`
+        }
+      };
+
+      const handleCompletionEdit = (e) => {
+        session.value.prompt = e.target.innerText;
+        session.value.transcript = [];
+      }
+
+      return html`
+        <div id="chat" ref=${container} key=${messages.length}>
+          <img style="width: 60%;${!session.value.image_selected ? `display: none;` : ``}" src="${session.value.image_selected}"/>
+          <span contenteditable=${isCompletionMode} ref=${container} oninput=${handleCompletionEdit}>
+            ${messages.flatMap(chatLine)}
+          </span>
+        </div>`;
+    };
+
+
+
+///////////// UI Improvements /////////////
+//
+//
+const handleToggleChange = (e) => {
+  const isChecked = e.target.checked;
+  session.value = { ...session.value, type: isChecked ? 'completion' : 'chat' };
+  localStorage.setItem('toggleState', isChecked);
+}
+//
+const loadToggleState = () => {
+  const storedState = localStorage.getItem('toggleState');
+  if (storedState !== null) {
+    const isChecked = storedState === 'true';
+    document.getElementById('toggle').checked = isChecked;
+    session.value = { ...session.value, type: isChecked ? 'completion' : 'chat' };
+  }
+}
+//
+document.addEventListener('DOMContentLoaded', loadToggleState);
+//
+//
+// function to update the prompt format
+function updatePromptFormat(e) {
+  const promptFormat = e.target.value;
+  if (promptFormats.hasOwnProperty(promptFormat)) {
+    session.value = {
+      ...session.value,
+      ...promptFormats[promptFormat]
+    };
+  } else {
+    // Use vicuna as llama.cpp's default setting, since it's most common
+    session.value = {
+      ...session.value,
+      template: "{{prompt}}\n{{history}}{{char}}",
+      historyTemplate: "{{name}}: {{message}}\n",
+      char: "ASSISTANT",
+      user: "USER"
+    };
+  }
+  console.log('Updated session value:', session.value);
+}
+//
+//
+// function to update the prompt format from the selected one
+function updatePromptFormatFromDropdown(element) {
+  const promptFormat = element.getAttribute('data-value');
+  console.log('Selected prompt format:', promptFormat); // debugging
+  updatePromptFormat({ target: { value: promptFormat } });
+}
+//
+//
+// function that adds the event listers as soon as the element is available
+function addEventListenersWhenAvailable() {
+  var themeSelector = document.getElementById('theme-selector');
+  if (themeSelector) {
+    themeSelector.addEventListener('change', function(event) {
+      // event-handler-code...
+    });
+    // placeholder event listeners
+  } else {
+    // if the element is not there yet, wait ahead
+    requestAnimationFrame(addEventListenersWhenAvailable);
+  }
+}
+//
+//
+// begin with the check
+requestAnimationFrame(addEventListenersWhenAvailable);
+//
+//
+// avoid default and create new event object with value from data value attribute
+function handleDropdownSelection(e, promptFormat) {
+  e.preventDefault();
+  const customEvent = {
+    target: {
+      value: promptFormat
+    }
+  };
+  // call our updatePromptFormat-function
+  updatePromptFormat(customEvent);
+}
+//
+//
+// function to update the system message
+function updateSystemPrompt(e) {
+  const SystemPrompt = e.target.value;
+  if (systemPrompts.hasOwnProperty(SystemPrompt)) {
+    session.value = {
+      ...session.value,
+      prompt: systemPrompts[SystemPrompt].systemPrompt
+    };
+  }
+}
+//
+//
+///////////// UI Improvements /////////////
+
+
+
+
+const ConfigForm = (props) => {
+  const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
+  const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
+  const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
+  const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
+  const updateParamsBool = (el) => params.value = { ...params.value, [el.target.name]: el.target.checked }
+
+  const grammarJsonSchemaPropOrder = signal('')
+  const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
+  const convertJSONSchemaGrammar = async () => {
+    try {
+      let schema = JSON.parse(params.value.grammar)
+      const converter = new SchemaConverter({
+        prop_order: grammarJsonSchemaPropOrder.value
+          .split(',')
+          .reduce((acc, cur, i) => ({ ...acc, [cur.trim()]: i }), {}),
+        allow_fetch: true,
+      })
+      schema = await converter.resolveRefs(schema, 'input')
+      converter.visit(schema, '')
+      params.value = {
+        ...params.value,
+        grammar: converter.formatGrammar(),
+      }
+    } catch (e) {
+      alert(`Convert failed: ${e.message}`)
+    }
+  }
+
+  const FloatField = ({ label, title, max, min, name, step, value }) => {
+return html`
+<div>
+  <label for="${name}"><span title="${title}">${label}</span></label>
+  <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsFloat} title="${title}" />
+  <span id="${name}-value">${value}</span>
+</div>
+`
+};
+
+const IntField = ({ label, title, max, min, step, name, value }) => {
+return html`
+<div>
+  <label for="${name}"><span title="${title}">${label}</span></label>
+  <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsInt} title="${title}" />
+  <span id="${name}-value">${value}</span>
+</div>
+`
+};
+
+const BoolField = ({ label, title, name, value }) => {
+return html`
+<div>
+  <label for="${name}"><span title="${title}">${label}</span></label>
+  <input type="checkbox" id="${name}" name="${name}" checked="${value}" onclick=${updateParamsBool} title="${title}" />
+</div>
+`
+};
+
+  const userTemplateReset = (e) => {
+    e.preventDefault();
+    userTemplateResetToDefaultAndApply()
+  }
+
+  const UserTemplateResetButton = () => {
+    if (selectedUserTemplate.value.name == 'default') {
+      return html`
+      <button class="reset-button" id="id_reset" onclick="${userTemplateReset}">Reset</button>
+      `
+    }
+
+    return html`
+      <div class="button-container">
+        <button class="reset-button" title="Caution: This resets the entire form." onclick="${userTemplateReset}">Reset</button>
+      </div>
+    `
+  };
+
+  useEffect(() => {
+    // autosave template on every change
+    userTemplateAutosave()
+  }, [session.value, params.value])
+
+  const GrammarControl = () => (
+    html`
+      <div>
+        <div class="grammar">
+          <label for="template"></label>
+          <textarea id="grammar" name="grammar" placeholder="Use GBNF or JSON-Scheme + Converter" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
+        </div>
+        <div class="grammar-columns">
+          <div class="json-schema-controls">
+            <input type="text" name="prop-order" placeholder="Order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
+            <button type="button" class="button-grammar" onclick=${convertJSONSchemaGrammar}>Convert JSON-Scheme</button>
+          </div>
+        </div>
+      </div>
+    `
+  );
+
+  const PromptControlFieldSet = () => (
+    html`
+      <fieldset>
+        <div class="input-container">
+          <label for="prompt" class="input-label">System</label>
+          <textarea
+            id="prompt"
+            class="persistent-input"
+            name="prompt"
+            placeholder="[Note] The following models do not support System Prompts by design:\n• OpenChat\n• Orion\n• Phi-3\n• Starling\n• Yi-...-Chat"
+            value="${session.value.prompt}"
+            oninput=${updateSession}
+          ></textarea>
+        </div>
+      </fieldset>
+    `
+  );
+
+  const ChatConfigForm = () => (
+    html`
+      <fieldset class="dropdowns">
+        <div>
+          <select id="promptFormat" name="promptFormat" onchange=${updatePromptFormat}>
+              <option value="default">Prompt Style</option>
+              <option value=""></option>
+            <optgroup label="Common Prompt-Styles">
+              <option value="alpaca">Alpaca</option>
+              <option value="chatml">ChatML</option>
+              <option value="commandr">Command R/+</option>
+              <option value="llama2">Llama 2</option>
+              <option value="llama3">Llama 3</option>
+              <option value="phi3">Phi-3</option>
+              <option value="openchat">OpenChat/Starling</option>
+              <option value="vicuna">Vicuna</option>
+              <option value=""></option>
+            </optgroup>
+            <optgroup label="More Prompt-Styles">
+              <option value="vicuna">Airoboros L2</option>
+              <option value="vicuna">BakLLaVA-1</option>
+              <option value="alpaca">Code Cherry Pop</option>
+              <option value="deepseekCoder">Deepseek Coder</option>
+              <option value="chatml">Dolphin Mistral</option>
+              <option value="chatml">evolvedSeeker 1.3B</option>
+              <option value="vicuna">Goliath 120B</option>
+              <option value="vicuna">Jordan</option>
+              <option value="vicuna">LLaVA</option>
+              <option value="chatml">Leo Hessianai</option>
+              <option value="vicuna">Leo Mistral</option>
+              <option value="vicuna">Marx</option>
+              <option value="med42">Med42</option>
+              <option value="alpaca">MetaMath</option>
+              <option value="llama2">Mistral Instruct</option>
+              <option value="chatml">Mistral 7B OpenOrca</option>
+              <option value="alpaca">MythoMax</option>
+              <option value="neuralchat">Neural Chat</option>
+              <option value="vicuna">Nous Capybara</option>
+              <option value="nousHermes">Nous Hermes</option>
+              <option value="openchatMath">OpenChat Math</option>
+              <option value="chatml">OpenHermes 2.5-Mistral</option>
+              <option value="alpaca">Orca Mini v3</option>
+              <option value="orion">Orion</option>
+              <option value="vicuna">Samantha</option>
+              <option value="chatml">Samantha Mistral</option>
+              <option value="sauerkrautLM">SauerkrautLM</option>
+              <option value="vicuna">Scarlett</option>
+              <option value="starlingCode">Starling Coding</option>
+              <option value="alpaca">Sydney</option>
+              <option value="vicuna">Synthia</option>
+              <option value="vicuna">Tess</option>
+              <option value="yi34b">Yi-6/9/34B-Chat</option>
+              <option value="zephyr">Zephyr</option>
+              <option value=""></option>
+            </optgroup>
+          </select>
+          <select id="SystemPrompt" name="SystemPrompt" onchange=${updateSystemPrompt}>
+            <option value="default">System Prompt</option>
+            <option value="empty">None</option>
+            <option value="airoboros">Airoboros</option>
+            <option value="alpaca">Alpaca</option>
+            <option value="atlas">Atlas</option>
+            <option value="atlas_de">Atlas - DE</option>
+            <option value="cot">Chain of Tought</option>
+            <option value="commandrempty">Command R/+ (empty)</option>
+            <option value="commandrexample">Command R/+ (example)</option>
+            <option value="deduce">Critical Thinking</option>
+            <option value="deepseekcoder">Deepseek Coder</option>
+            <option value="jordan">Jordan</option>
+            <option value="leomistral">Leo Mistral</option>
+            <option value="med42">Med42</option>
+            <option value="migeltot">Migel's Tree of Thought</option>
+            <option value="mistralopenorca">Mistral OpenOrca</option>
+            <option value="orcamini">Orca Mini</option>
+            <option value="samantha">Samantha</option>
+            <option value="sauerkraut">Sauerkraut</option>
+            <option value="scarlett">Scarlett</option>
+            <option value="synthia">Synthia</option>
+            <option value="vicuna">Vicuna</option>
+          </select>
+          <!--<select id="systemLanguage" name="systemLanguage">-->
+            <!--<option value="default">English</option>-->
+            <!--<option value="DE">German</option>-->
+            <!--<option value="placeholderLanguage">Placeholder</option>-->
+          <!--</select>-->
+        </div>
+      </fieldset>
+      ${PromptControlFieldSet()}
+        <fieldset>
+          <details>
+            <summary><span class="summary-title" id="id_prompt-style">Prompt Style</span></summary>
+            <fieldset class="names">
+          <div>
+            <label for="user" id="id_user-name">User ID</label>
+            <input type="text" id="user" name="user" value="${session.value.user}" oninput=${updateSession} />
+          </div>
+          <div>
+            <label for="bot" id="id_bot-name">AI ID</label>
+            <input type="text" id="bot" name="char" value="${session.value.char}" oninput=${updateSession} />
+          </div>
+        </fieldset>
+          <div class="two-columns">
+            <div>
+              <div class="input-container">
+                <label for="template" class="input-label-sec" id_prompt-template>Prompt Template</label>
+                <textarea id="template" class="persistent-input-sec" name="template" value="${session.value.template}" rows=6 oninput=${updateSession}/>
+              </div>
+            </div>
+            <div>
+              <div class="input-container">
+                <label for="template" class="input-label-sec" id="id_history-template">Chat History</label>
+                <textarea id="history-template" class="persistent-input-sec" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
+              </div>
+            </div>
+          </div>
+        </details>
+        <details>
+          <summary><span class="summary-title" id="id_grammar-title" id_grammar-title>Grammar</span></summary>
+          ${GrammarControl()}
+        </details>
+
+        </fieldset>
+    `
+  );
+
+  const CompletionConfigForm = () => (
+    html`
+      ${PromptControlFieldSet()}
+      <fieldset>
+        <details>
+          <summary><span class="summary-title" id="id_grammar-title" id_grammar-title>Grammar</span></summary>
+          ${GrammarControl()}
+        </details>
+      </fieldset>
+    `
+  );
+// todo toggle button et api field et reset button in one nice row
+  return html`
+    <form>
+      <fieldset class="two">
+          <input type="checkbox" id="toggle" class="toggleCheckbox" onchange=${handleToggleChange} />
+            <label for="toggle" class="toggleContainer">
+              <div id="id_toggle-label-chat">Chat</div>
+              <div id="id_toggle-label-complete">Complete</div>
+            </label>
+      <fieldset>
+
+          <input type="text" id="api_key" class="apiKey" name="api_key" value="${params.value.api_key}" placeholder="Enter API key" oninput=${updateParams} />
+      </fieldset>
+
+        <${UserTemplateResetButton}/>
+      </fieldset>
+
+      ${session.value.type === 'chat' ? ChatConfigForm() : CompletionConfigForm()}
+
+      <fieldset class="params">
+        ${IntField({ label: "Prediction", title: "Set the maximum number of tokens to predict when generating text. Note: May exceed the set limit slightly if the last token is a partial multibyte character. When 0, no tokens will be generated but the prompt is evaluated into the cache. The value -1 means infinity. Default is 358", max: 2048, min: -1, step: 16, name: "n_predict", value: params.value.n_predict, })}
+        ${FloatField({ label: "Min-P sampling", title: "The minimum probability for a token to be considered, relative to the probability of the most likely token. Note that it's good practice to disable all other samplers aside from temperature when using min-p. It is also recommenend to go this approach. Default is 0.05 – But consider higher values like ~ 0.4 for non-English text generation. The value 1.0 means disabled", max: 1.0, min: 0.0, name: "min_p", step: 0.01, value: params.value.min_p })}
+        ${FloatField({ label: "Repetition Penalty", title: "Control the repetition of token sequences in the generated text. Default is 1.1", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty })}
+        ${FloatField({ label: "Temperature", title: "This will adjust the overall randomness of the generated text. It is the most common sampler. Default is 0.8 but consider using lower values for more factual texts or for non-English text generation", max: 2.0, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature })}
+      </fieldset>
+
+      <details>
+        <summary><span class="summary-title">Further Options</span></summary>
+        <fieldset class="params">
+          ${IntField({ label: "Top-K", title: "Limits the selection of the next token to the K most probable tokens. 1 means no randomness = greedy sampling. If set to 0, it means the entire vocabulary size is considered.", max: 100, min: 0, step: 1, name: "top_k", value: params.value.top_k })}
+          ${IntField({ label: "Penalize Last N", title: "The last n tokens that are taken into account to penalise repetitions. A value of 0 means that this function is deactivated and -1 means that the entire size of the context is taken into account.", max: 2048, min: 0, step: 16, name: "repeat_last_n", value: params.value.repeat_last_n })}
+          ${FloatField({ label: "Top-P", title: "Limits the selection of the next token to a subset of tokens whose combined probability reaches a threshold value P = top-P. If set to 1, it means the entire vocabulary size is considered.", max: 1.0, min: 0.0, name: "top_p", step: 0.01, value: params.value.top_p })}
+          ${FloatField({ label: "Presence Penalty", title: "A penalty that is applied if certain tokens appear repeatedly in the generated text. A higher value leads to fewer repetitions.", max: 1.0, min: 0.0, name: "presence_penalty", step: 0.01, value: params.value.presence_penalty })}
+          ${FloatField({ label: "TFS-Z", title: "Activates tail-free sampling, a method used to limit the prediction of tokens that are too frequent. The parameter z controls the strength of this limitation. A value of 1.0 means that this function is deactivated.", max: 1.0, min: 0.0, name: "tfs_z", step: 0.01, value: params.value.tfs_z })}
+          ${FloatField({ label: "Frequency Penalty", title: "A penalty that is applied based on the frequency with which certain tokens occur in the training data set. A higher value results in rare tokens being favoured.", max: 1.0, min: 0.0, name: "frequency_penalty", step: 0.01, value: params.value.frequency_penalty })}
+          ${FloatField({ label: "Typical-P", title: "Activates local typical sampling, a method used to limit the prediction of tokens that are atypical in the current context. The parameter p controls the strength of this limitation. A value of 1.0 means that this function is deactivated.", max: 1.0, min: 0.0, name: "typical_p", step: 0.01, value: params.value.typical_p })}
+          ${IntField({ label: "Min Keep", title: "If greater than 0, samplers are forced to return N possible tokens at minimum. Default is 0", max: 10, min: 0, name: "min_keep", value: params.value.min_keep })}
+        </fieldset>
+
+        <hr style="height: 1px; background-color: #ececf1; border: none;" />
+
+        <fieldset class="three">
+          <label title="The Mirostat sampling method is an algorithm used in natural language processing to improve the quality and coherence of the generated texts. It is an at-runtime-adaptive method that aims to keep the entropy or surprise of a text within a desired range."><input type="radio" name="mirostat" value="0" checked=${params.value.mirostat == 0} oninput=${updateParamsInt} /> Mirostat off</label>
+          <label title="Mirostat version 1 was developed to adjust the probability of predictions so that the surprise in the text remains constant. This means that the algorithm tries to maintain a balance between predictable and surprising words so that the text is neither too monotonous nor too chaotic. V1 is recommended for longer writings, creative texts, etc."><input type="radio" name="mirostat" value="1" checked=${params.value.mirostat == 1} oninput=${updateParamsInt} /> Mirostat v1</label>
+          <label title="Mirostat version 2 builds on the idea of V1 but brings some improvements. V2 is recommended as a general purpose algorithm since it offers more precise control over entropy and reacts more quickly to unwanted deviations. As a result, the generated texts appear even more consistent and coherent, especially for everday life conversations."><input type="radio" name="mirostat" value="2" checked=${params.value.mirostat == 2} oninput=${updateParamsInt} /> Mirostat v2</label>
+          </fieldset>
+        <fieldset class="params">
+          ${FloatField({ label: "Entropy tau", title: "Tau controls the desired level of entropy (or 'surprise') in the text. A low tau (e.g. 0.5) would mean that a text is very predictable, but will also be very coherent. A high tau (e.g. 8.0) would mean that the text is very creative and surprising, but may also be difficult to follow because unlikely words will occur frequently.", max: 10.0, min: 0.0, name: "mirostat_tau", step: 0.01, value: params.value.mirostat_tau })}
+          ${FloatField({ label: "Learning-rate eta", title: "Eta determines how quickly the Mirostat algorithm adjusts its predictions to achieve the desired entropy. A learning rate that is too high can cause the algorithm to react too quickly and possibly become unstable, because the algorithm will try to maintain a balance between surprises and precision in the context of only a few words. In this way, 'the common thread' could be lost. Whereas a learning rate that is too low means that the algorithm reacts too slowly and a red thread becomes a heavy goods train that takes a long time to come to a halt and change a 'topic station'.", max: 1.0, min: 0.0, name: "mirostat_eta", step: 0.01, value: params.value.mirostat_eta })}
+        </fieldset>
+
+          <hr style="height: 1px; background-color: #ececf1; border: none;" />
+
+          <fieldset class="params">
+            ${IntField({ label: "Show Probabilities", title: "If greater than 0, the response also contains the probabilities of top N tokens for each generated token given the sampling settings. The tokens will be colored in gradient from green to red depending on their probabilities. Note that for temperature 0 the tokens are sampled greedily but token probabilities are still being calculated via a simple softmax of the logits without considering any other sampler settings. Defaults to 0", max: 10, min: 0, step: 1, name: "n_probs", value: params.value.n_probs })}
+          </fieldset>
+      </details>
+    </form>
+  `
+}
+
+    // todo - beautify apikey section with css
+
+    const probColor = (p) => {
+      const r = Math.floor(192 * (1 - p));
+      const g = Math.floor(192 * p);
+      return `rgba(${r},${g},0,0.3)`;
+    }
+
+    const Probabilities = (params) => {
+      return params.data.map(msg => {
+        const { completion_probabilities } = msg;
+        if (
+          !completion_probabilities ||
+          completion_probabilities.length === 0
+        ) return msg.content
+
+        if (completion_probabilities.length > 1) {
+          // Not for byte pair
+          if (completion_probabilities[0].content.startsWith('byte: \\')) return msg.content
+
+          const splitData = completion_probabilities.map(prob => ({
+            content: prob.content,
+            completion_probabilities: [prob]
+          }))
+          return html`<${Probabilities} data=${splitData} />`
+        }
+
+        const { probs, content } = completion_probabilities[0]
+        const found = probs.find(p => p.tok_str === msg.content)
+        const pColor = found ? probColor(found.prob) : 'transparent'
+
+        const popoverChildren = html`
+          <div class="prob-set">
+            ${probs.map((p, index) => {
+          return html`
+                <div
+                  key=${index}
+                  title=${`prob: ${p.prob}`}
+                  style=${{
+              padding: '0.3em',
+              backgroundColor: p.tok_str === content ? probColor(p.prob) : 'transparent'
+            }}
+                >
+                  <span>${p.tok_str}: </span>
+                  <span>${Math.floor(p.prob * 100)}%</span>
+                </div>
+              `
+        })}
+          </div>
+        `
+
+        return html`
+          <${Popover} style=${{ backgroundColor: pColor }} popoverChildren=${popoverChildren}>
+            ${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
+          </>
+        `
+      });
+    }
+
+    // poor mans markdown replacement
+    const Markdownish = (params) => {
+      const md = params.text
+        .replace(/&/g, '&amp;')
+        .replace(/</g, '&lt;')
+        .replace(/>/g, '&gt;')
+        .replace(/(^|\n)#{1,6} ([^\n]*)(?=([^`]*`[^`]*`)*[^`]*$)/g, '$1<h3>$2</h3>')
+        .replace(/\*\*(.*?)\*\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
+        .replace(/__(.*?)__(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
+        .replace(/\*(.*?)\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
+        .replace(/_(.*?)_(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
+        .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
+        .replace(/`(.*?)`/g, '<code>$1</code>')
+        .replace(/\n/gim, '<br />');
+      return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
+    };
+
+    const ModelGenerationInfo = (params) => {
+      if (!llamaStats.value) {
+        return html`<span/>`
+      }
+      return html`
+      <span class=generation-statistics>
+          ${llamaStats.value.tokens_predicted} predicted, ${llamaStats.value.tokens_cached} cached, ${llamaStats.value.timings.predicted_per_second.toFixed(2)} tokens per second
+        </span>
+      `
+    }
+
+    // simple popover impl
+    const Popover = (props) => {
+      const isOpen = useSignal(false);
+      const position = useSignal({ top: '0px', left: '0px' });
+      const buttonRef = useRef(null);
+      const popoverRef = useRef(null);
+
+      const togglePopover = () => {
+        if (buttonRef.current) {
+          const rect = buttonRef.current.getBoundingClientRect();
+          position.value = {
+            top: `${rect.bottom + window.scrollY}px`,
+            left: `${rect.left + window.scrollX}px`,
+          };
+        }
+        isOpen.value = !isOpen.value;
+      };
+
+      const handleClickOutside = (event) => {
+        if (popoverRef.current && !popoverRef.current.contains(event.target) && !buttonRef.current.contains(event.target)) {
+          isOpen.value = false;
+        }
+      };
+
+      useEffect(() => {
+        document.addEventListener('mousedown', handleClickOutside);
+        return () => {
+          document.removeEventListener('mousedown', handleClickOutside);
+        };
+      }, []);
+
+      return html`
+        <span style=${props.style} ref=${buttonRef} onClick=${togglePopover} contenteditable="true">${props.children}</span>
+        ${isOpen.value && html`
+          <${Portal} into="#portal">
+            <div
+              ref=${popoverRef}
+              class="popover-content"
+              style=${{
+            top: position.value.top,
+            left: position.value.left,
+          }}
+            >
+              ${props.popoverChildren}
+            </div>
+          </${Portal}>
+        `}
+      `;
+    };
+
+    // Source: preact-portal (https://github.com/developit/preact-portal/blob/master/src/preact-portal.js)
+    /** Redirect rendering of descendants into the given CSS selector */
+    class Portal extends Component {
+      componentDidUpdate(props) {
+        for (let i in props) {
+          if (props[i] !== this.props[i]) {
+            return setTimeout(this.renderLayer);
+          }
+        }
+      }
+
+      componentDidMount() {
+        this.isMounted = true;
+        this.renderLayer = this.renderLayer.bind(this);
+        this.renderLayer();
+      }
+
+      componentWillUnmount() {
+        this.renderLayer(false);
+        this.isMounted = false;
+        if (this.remote && this.remote.parentNode) this.remote.parentNode.removeChild(this.remote);
+      }
+
+      findNode(node) {
+        return typeof node === 'string' ? document.querySelector(node) : node;
+      }
+
+      renderLayer(show = true) {
+        if (!this.isMounted) return;
+
+        // clean up old node if moving bases:
+        if (this.props.into !== this.intoPointer) {
+          this.intoPointer = this.props.into;
+          if (this.into && this.remote) {
+            this.remote = render(html`<${PortalProxy} />`, this.into, this.remote);
+          }
+          this.into = this.findNode(this.props.into);
+        }
+
+        this.remote = render(html`
+          <${PortalProxy} context=${this.context}>
+            ${show && this.props.children || null}
+          </${PortalProxy}>
+        `, this.into, this.remote);
+      }
+
+      render() {
+        return null;
+      }
+    }
+    // high-order component that renders its first child if it exists.
+    // used as a conditional rendering proxy.
+    class PortalProxy extends Component {
+      getChildContext() {
+        return this.props.context;
+      }
+      render({ children }) {
+        return children || null;
+      }
+    }
+
+    function App(props) {
+      return html`
+        <div class="mode-${session.value.type}">
+          <header>
+            <h2>llama.cpp</h2>
+            <div class="dropdown">
+              <button class="dropbtn"><svg width="16" height="16" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><circle cx="12" cy="12" r="10" stroke-width="2"/></svg></button>
+              <div class="dropdown-content" id="theme-selector">
+                <a href="/">Old UI</a>
+                <a href="#" data-theme="default">Snow Storm</a>
+                <a href="#" data-theme="polarnight">Polar Night</a>
+                <a href="#" data-theme="ketivah">Ketivah</a>
+                <a href="#" data-theme="mangotango">Mango Tango</a>
+                <a href="#" data-theme="playground">Playground</a>
+                <a href="#" data-theme="beeninorder">Been In Order</a>
+              </div>
+            </div>
+          </header>
+
+          <main id="content">
+            <${chatStarted.value ? ChatLog : ConfigForm} />
+          </main>
+
+          <section id="write">
+            <${session.value.type === 'chat' ? MessageInput : CompletionControls} />
+          </section>
+          <footer>
+            <p><${ModelGenerationInfo} /></p>
+            <p>Powered By <a href="https://github.com/ggerganov/llama.cpp#readme" target="_blank">llama.cpp</a> and <a href="https://ggml.ai/" target="_blank">ggml.ai</a></p>
+          </footer>
+        </div>
+      `;
+    }
+
+  document.addEventListener('DOMContentLoaded', function() {
+  var themeSelector = document.getElementById('theme-selector');
+  var themeLinks = themeSelector.querySelectorAll('a[data-theme]');
+
+  themeLinks.forEach(function(link) {
+    link.addEventListener('click', function(event) {
+      event.preventDefault(); // avoid default behaviour
+      var selectedTheme = event.target.getAttribute('data-theme');
+      changeTheme(selectedTheme);
+    });
+  });
+
+  function changeTheme(theme) {
+    document.body.classList.remove('theme-default', 'theme-polarnight', 'theme-ketivah', 'theme-mangotango', 'theme-playground', 'theme-beeninorder');
+    if (theme !== 'default') {
+      document.body.classList.add('theme-' + theme);
+    }
+    localStorage.setItem('selected-theme', theme);
+  }
+
+  // set the selected theme when loading the page
+  var savedTheme = localStorage.getItem('selected-theme');
+  if (savedTheme && savedTheme !== 'default') {
+    document.body.classList.add('theme-' + savedTheme);
+    // update the dropdown if it still exists
+    var dropdown = document.getElementById('theme-selector-dropdown');
+    if (dropdown) {
+      dropdown.value = savedTheme;
+    }
+  }
+});
+
+
+// snapping of the slider to indicate 'disabled'
+document.addEventListener('DOMContentLoaded', (event) => {
+  // define an object that contains snap values and ranges for each slider
+  const snapSettings = {
+    temperature: { snapValue: 1.0, snapRangeMultiplier: 6 },
+    min_p: { snapValue: 0.05, snapRangeMultiplier: 2 },
+    top_p: { snapValue: 1.0, snapRangeMultiplier: 4 },
+    tfs_z: { snapValue: 1.0, snapRangeMultiplier: 4 },
+    typical_p: { snapValue: 1.0, snapRangeMultiplier: 4 },
+    repeat_penalty: { snapValue: 1.0, snapRangeMultiplier: 4 },
+    presence_penalty: { snapValue: 0.0, snapRangeMultiplier: 4 },
+    frequency_penalty: { snapValue: 0.0, snapRangeMultiplier: 4 },
+  };
+  // add an event listener for each slider
+  Object.keys(snapSettings).forEach(sliderName => {
+    const slider = document.querySelector(`input[name="${sliderName}"]`);
+    const settings = snapSettings[sliderName];
+
+    slider.addEventListener('input', (e) => {
+      let value = parseFloat(e.target.value);
+      const step = parseFloat(e.target.step);
+      const snapRange = step * settings.snapRangeMultiplier;
+      const valueDisplay = document.getElementById(`${e.target.name}-value`);
+
+      if (value >= settings.snapValue - snapRange && value <= settings.snapValue + snapRange) {
+        value = settings.snapValue; // set value to the snap value
+        e.target.value = value; // update the slider value
+      }
+      // update the displayed value
+      if (valueDisplay) {
+        valueDisplay.textContent = value.toFixed(2); // display value with two decimal places
+      }
+    });
+  });
+});
+
+    render(h(App), document.querySelector('#container'));
+
+  </script>
+</head>
+
+<body>
+
+  <div id="container">
+    <input type="file" id="fileInput" accept="image/*" style="display: none;">
+  </div>
+  <div id="portal"></div>
+</body>
+
+</html>
diff --git a/examples/server/public/index.html b/examples/server/public/index.html
index 2961999f2..2f60a76e8 100644
--- a/examples/server/public/index.html
+++ b/examples/server/public/index.html
@@ -12,6 +12,18 @@
       font-size: 90%;
     }
 
+    .grid-container {
+      display: grid;
+      grid-template-columns: auto auto auto;
+      padding: 10px;
+    }
+
+    .grid-item {
+      padding: 5px;
+      /* font-size: 30px; */
+      text-align: center;
+    }
+
     #container {
       margin: 0em auto;
       display: flex;
@@ -35,6 +47,67 @@
       padding: 0.5em;
     }
 
+    h1 {
+      text-align: center;
+    }
+
+    .customlink:link {
+      color: white;
+      background-color: #007aff;
+      font-weight: 600;
+      text-decoration: none;
+      float: right;
+      margin-top: 30px;
+      display: flex;
+      flex-direction: row;
+      gap: 0.5em;
+      justify-content: flex-end;
+      border-radius: 4px;
+      padding: 8px;
+    }
+
+    .customlink:visited {
+      color: white;
+      background-color: #007aff;
+      font-weight: 600;
+      text-decoration: none;
+      float: right;
+      margin-top: 30px;
+      display: flex;
+      flex-direction: row;
+      gap: 0.5em;
+      justify-content: flex-end;
+      padding: 8px;
+    }
+
+    .customlink:hover {
+      color: white;
+      background-color: #0070ee;
+      font-weight: 600;
+      text-decoration: none;
+      float: right;
+      margin-top: 30px;
+      display: flex;
+      flex-direction: row;
+      gap: 0.5em;
+      justify-content: flex-end;
+      padding: 8px;
+    }
+
+    .customlink:active {
+      color: #0070ee;
+      background-color: #80b3ef;
+      font-weight: 600;
+      text-decoration: none;
+      float: right;
+      margin-top: 30px;
+      display: flex;
+      flex-direction: row;
+      gap: 0.5em;
+      justify-content: flex-end;
+      padding: 8px;
+    }
+
     body {
       max-width: 600px;
       min-width: 300px;
@@ -594,7 +667,7 @@
           message = html`<${Probabilities} data=${data} />`
         } else {
           const text = isArrayMessage ?
-            data.map(msg => msg.content).join('').replace(/^\s+/, '') :
+            data.map(msg => msg.content).join('') :
             data;
           message = isCompletionMode ?
             text :
@@ -877,19 +950,30 @@
 
     // poor mans markdown replacement
     const Markdownish = (params) => {
-      const md = params.text
-        .replace(/&/g, '&amp;')
-        .replace(/</g, '&lt;')
-        .replace(/>/g, '&gt;')
-        .replace(/(^|\n)#{1,6} ([^\n]*)(?=([^`]*`[^`]*`)*[^`]*$)/g, '$1<h3>$2</h3>')
-        .replace(/\*\*(.*?)\*\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
-        .replace(/__(.*?)__(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
-        .replace(/\*(.*?)\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
-        .replace(/_(.*?)_(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
-        .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
-        .replace(/`(.*?)`/g, '<code>$1</code>')
-        .replace(/\n/gim, '<br />');
-      return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
+      const chunks = params.text.split('```');
+
+      for (let i = 0; i < chunks.length; i++) {
+        if (i % 2 === 0) { // outside code block
+          chunks[i] = chunks[i]
+          .replace(/&/g, '&amp;')
+          .replace(/</g, '&lt;')
+          .replace(/>/g, '&gt;')
+          .replace(/(^|\n)#{1,6} ([^\n]*)(?=([^`]*`[^`]*`)*[^`]*$)/g, '$1<h3>$2</h3>')
+          .replace(/\*\*(.*?)\*\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
+          .replace(/__(.*?)__(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
+          .replace(/\*(.*?)\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
+          .replace(/_(.*?)_(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
+          .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
+          .replace(/`(.*?)`/g, '<code>$1</code>')
+          .replace(/\n/gim, '<br />');
+        } else { // inside code block
+          chunks[i] = `<pre><code>${chunks[i]}</code></pre>`;
+        }
+      }
+
+      const restoredText = chunks.join('');
+
+      return html`<span dangerouslySetInnerHTML=${{ __html: restoredText }} />`;
     };
 
     const ModelGenerationInfo = (params) => {
@@ -903,6 +987,7 @@
       `
     }
 
+
     // simple popover impl
     const Popover = (props) => {
       const isOpen = useSignal(false);
@@ -1023,7 +1108,11 @@
       return html`
         <div class="mode-${session.value.type}">
           <header>
-            <h1>llama.cpp</h1>
+            <div class="grid-container">
+              <div class="grid-item"></div>
+              <div class="grid-item"><h1>llama.cpp</h1></div>
+              <div class="grid-item"><a class="customlink" href="index-new.html">New UI</a></div>
+            </div>
           </header>
 
           <main id="content">
@@ -1054,4 +1143,3 @@
 </body>
 
 </html>
-
diff --git a/examples/server/public/index.js b/examples/server/public/index.js
index 695aec256..670960939 100644
--- a/examples/server/public/index.js
+++ b/examples/server/public/index.js
@@ -1 +1 @@
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diff --git a/examples/server/public/prompt-formats.js b/examples/server/public/prompt-formats.js
new file mode 100644
index 000000000..73ddb7187
--- /dev/null
+++ b/examples/server/public/prompt-formats.js
@@ -0,0 +1,331 @@
+// extended list
+export const promptFormats = {
+  "alpaca": {
+  template: `{{prompt}}\n\n{{history}}\n\n{{char}}:`,
+
+  historyTemplate: `### {{name}}:\n{{message}}`,
+
+  char: "Response",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "Instruction",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: ""
+  },
+
+  // ----------------------------
+
+  "chatml": {
+  template: `<|im_start|>system\n{{prompt}}<|im_end|>\n{{history}}{{char}}`,
+
+  historyTemplate: `<|im_start|>{{name}}\n{{message}}`,
+
+  char: "assistant",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "user",
+  userMsgPrefix: "",
+  userMsgSuffix: "<|im_end|>\n",
+
+  stops: ""
+  },
+
+  // ----------------------------
+
+  "commandr": {
+  template: `<BOS_TOKEN><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{prompt}}\n<|END_OF_TURN_TOKEN|>{{history}}{{char}}`,
+
+  historyTemplate: `<|START_OF_TURN_TOKEN|><|{{name}}|> {{message}}`,
+
+  char: "CHATBOT_TOKEN",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "USER_TOKEN",
+  userMsgPrefix: "",
+  userMsgSuffix: "<|END_OF_TURN_TOKEN|>",
+
+  stops: ""
+  },
+  // ref: https://docs.cohere.com/docs/prompting-command-r
+
+  // ----------------------------
+
+  "llama2": {
+  template: `<s>[INST] <<SYS>>\n{{prompt}}\n<</SYS>>\n\nTest Message [/INST] Test Successfull </s>{{history}}{{char}}`,
+
+  historyTemplate: `{{name}}: {{message}}`,
+
+  char: "Assistant",
+  charMsgPrefix: "",
+  charMsgSuffix: "</s>",
+
+  user: "User",
+  userMsgPrefix: "<s>[INST] ",
+  userMsgSuffix: " [/INST]",
+
+  stops: ""
+  },
+  // ref: https://huggingface.co/blog/llama2#how-to-prompt-llama-2
+
+  // ----------------------------
+
+  "llama3": {
+  template: `<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{{prompt}}{{history}}{{char}}`,
+
+  historyTemplate: `<|start_header_id|>{{name}}<|end_header_id|>\n\n{{message}}<|eot_id|>`,
+
+  char: "assistant",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "user",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: "<|eot_id|>"
+  },
+  // ref: https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3/#special-tokens-used-with-meta-llama-3
+
+  // ----------------------------
+
+  "openchat": {
+  template: `{{history}}{{char}}`,
+
+  historyTemplate: `GPT4 Correct {{name}}: {{message}}<|end_of_turn|>`,
+
+  char: "Assistant",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "User",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: ""
+  },
+
+  // ----------------------------
+
+  "phi3": {
+  template: `{{history}}{{char}}`,
+
+  historyTemplate: `<|{{name}}|>\n{{message}}<|end|>\n`,
+
+  char: "assistant",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "user",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: "<|end|>"
+  },
+  // ref: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct#chat-format
+
+  // ----------------------------
+
+  "vicuna": {
+  template: `{{prompt}}\n{{history}}{{char}}`,
+
+  historyTemplate: `{{name}}: {{message}}\n`,
+
+  char: "ASSISTANT",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "USER",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: ""
+  },
+  // ref: https://huggingface.co/lmsys/vicuna-33b-v1.3/discussions/1
+
+  // ----------------------------
+
+  "deepseekCoder": {
+  template: `{{prompt}}{{history}}{{char}}:`,
+
+  historyTemplate: `### {{name}}:\n{{message}}`,
+
+  char: "Response",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "Instruction",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: "<|EOT|>"
+  },
+
+  // ----------------------------
+
+  "med42": {
+  template: `<|system|>: {{prompt}}\n{{history}}{{char}}`,
+
+  historyTemplate: `<|{{name}}|>: {{message}}\n`,
+
+  char: "assistant",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "prompter",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: ""
+  },
+
+  // ----------------------------
+
+  "neuralchat": {
+  template: `### System:\n{{prompt}}\n{{history}}{{char}}:`,
+
+  historyTemplate: `### {{name}}:\n{{message}}\n`,
+
+  char: "Assistant",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "User",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: ""
+  },
+
+  // ----------------------------
+
+  "nousHermes": {
+  template: `### Instruction: {{prompt}}\n\n{{history}}\n\n{{char}}:`,
+
+  historyTemplate: `### {{name}}:\n{{message}}`,
+
+  char: "Response",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "Input",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: ""
+  },
+
+  // ----------------------------
+
+  "openchatMath": {
+  template: `{{history}}{{char}}`,
+
+  historyTemplate: `Math Correct {{name}}: {{message}}<|end_of_turn|>`,
+
+  char: "Assistant",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+
+  user: "User",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: ""
+  },
+
+  // ----------------------------
+
+  "orion": {
+  template: `<s>Human: Test Message\n\nAssistant: </s>Test Successful</s>{{history}}{{char}}:`,
+
+  historyTemplate: `{{name}}: {{message}}`,
+
+  char: "Assistant </s>",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "Human",
+  userMsgPrefix: "",
+  userMsgSuffix: "\n\n",
+
+  stops: ""
+  },
+
+  // ----------------------------
+
+  "sauerkraut": {
+  template: `{{prompt}}\n{{history}}{{char}}`,
+
+  historyTemplate: `
+  {{name}}: {{message}}\n`,
+
+  char: "Assistant",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "User",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: ""
+  },
+
+  // ----------------------------
+
+  "starlingCode": {
+  template: `{{history}}{{char}}`,
+
+  historyTemplate: `Code {{name}}: {{message}}<|end_of_turn|>`,
+
+  char: "Assistant",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "User",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: ""
+  },
+
+  // ----------------------------
+
+  "yi34b": {
+  template: `{{history}} {{char}}`,
+
+  historyTemplate: `{{name}}: {{message}}`,
+
+  char: "Assistant",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "Human",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: ""
+  },
+
+  // ----------------------------
+
+  "zephyr": {
+  template: `<|system|>\n{{prompt}}</s>\n{{history}}{{char}}`,
+
+  historyTemplate: `<|{{name}}|>\n{{message}}</s>\n`,
+
+  char: "assistant",
+  charMsgPrefix: "",
+  charMsgSuffix: "",
+
+  user: "user",
+  userMsgPrefix: "",
+  userMsgSuffix: "",
+
+  stops: ""
+  }
+  };
diff --git a/examples/server/public/style.css b/examples/server/public/style.css
new file mode 100755
index 000000000..087cc62da
--- /dev/null
+++ b/examples/server/public/style.css
@@ -0,0 +1,954 @@
+@import url("colorthemes.css");
+
+body {
+  font-family: 'Arial', sans-serif;
+  font-size: 90%;
+  background-color: var(--background-color-1);
+  color: var(--text-color-subtile-1); /* head 1 llama.cpp & triangle options for some reason */
+  max-width: 600px;
+  min-width: 300px;
+  line-height: 1.2;
+  margin: 0 auto;
+  padding: 0 0.5em;
+  transition: background-color 0.3s;
+}
+
+::selection {
+  color: var(--button-primary-text) ;
+  background: var(--button-primary-color);
+}
+
+code, pre code {
+  font-family: 'Courier New', monospace;
+}
+
+#container {
+  margin: 0em auto;
+  display: flex;
+  flex-direction: column;
+  justify-content: space-between;
+  height: 100%;
+}
+
+main {
+  margin: 3px;
+  display: flex;
+  flex-direction: column;
+  justify-content: space-between;
+  gap: 1em;
+  flex-grow: 1;
+  overflow-y: auto;
+  border: 1px solid var(--border-color-3);
+  border-radius: 5px;
+  padding: 0.5em;
+}
+
+p {
+  overflow-wrap: break-word;
+  word-wrap: break-word;
+  hyphens: auto;
+  margin-top: 0.5em;
+  margin-bottom: 0.5em;
+}
+
+#write form {
+  margin: 1em 0 0 0;
+  display: flex;
+  flex-direction: column;
+  gap: 0.5em;
+  align-items: stretch;
+}
+
+.right {
+  display: flex;
+  flex-direction: row;
+  gap: 0.5em;
+  justify-content: flex-end;
+  margin-bottom: 30px;
+}
+
+.two-columns {
+  width: 97%;
+  max-width: 97%;
+  display: grid;
+  grid-template-columns: 1fr 1fr;
+  gap: 1em;
+  position: relative;
+}
+
+.json-schema-controls {
+  margin-top: 10px;
+  width: 100%;
+  max-width: 100%;
+  display: grid;
+  grid-template: "a a";
+  gap: 1em;
+  font-size: x-small;
+  color: var(--theme-nuance-color-3);
+  padding-top: 16px;
+  padding-bottom: 16px;
+  text-transform: uppercase;
+  font-weight: 600;
+}
+
+.json-schema-controls > * {
+  flex: 1;
+}
+
+/* titles of the details-summary boxes */
+.summary-title {
+  font-weight: 600;
+  font-size: x-small;
+  color: var(--text-color-subtile-1);
+  text-transform: uppercase;
+  /* transition: ; */
+}
+
+fieldset {
+  border: none;
+  padding: 0;
+  margin: 0;
+  color: var(--text-color-plain);
+}
+
+fieldset.two {
+  display: grid;
+  grid-template: "a a a";
+  gap: 1em;
+  align-items: center;
+  font-size: x-small;
+  color: var(--text-color-plain);
+}
+
+fieldset.three {
+  display: grid;
+  grid-template: "a a a";
+  gap: 1em;
+  font-size: x-small;
+  color: var(--text-color-plain);
+}
+
+/* titles of name fields*/
+fieldset.names {
+  display: grid;
+  grid-template: "a a";
+  gap: 1em;
+  font-size: x-small;
+  color: var(--theme-nuance-color-3);
+  padding-top: 16px;
+  padding-bottom: 16px;
+  text-transform: uppercase;
+  font-weight: 600;
+}
+
+/* titles of params fields*/
+fieldset.params {
+  display: grid;
+  grid-template: "a a";
+  gap: 1em;
+  font-size: x-small;
+  color: var(--theme-nuance-color-4);
+  padding-top: 16px;
+  padding-bottom: 16px;
+  text-transform: uppercase;
+  font-weight: 600;
+}
+
+fieldset.dropdowns {
+  -webkit-appearance: none;
+  display: flex;
+  grid-template: "a a";
+  gap: 1em;
+  font-size: x-small;
+  color: red;
+  padding-top: 16px;
+  padding-bottom: 16px;
+  text-transform: uppercase;
+  font-weight: 600;
+}
+
+/* input of name fields*/
+.names input[type="text"] {
+  font-family: Arial, sans-serif;
+  font-size: medium;
+  font-weight: 500;
+  padding: 5px;
+  border: 1px solid var(--border-color-2);
+}
+
+.chat-id-color {
+  color: var(--chat-id-color);
+}
+
+details {
+  border: 1px solid var(--border-color-2);
+  border-radius: 5px;
+  padding: 0.5em 0.5em 0;
+  margin-top: 0.5em;
+}
+
+summary {
+  font-weight: bold;
+  margin: -0.5em -0.5em 0;
+  padding: 0.5em;
+  cursor: pointer;
+}
+
+details[open] {
+  padding: 0.5em;
+}
+
+textarea-sec, input-sec, button-sec {
+  padding: 10px;
+  height: 40px;
+  align-items: center;
+}
+
+textarea-sec::placeholder, input-sec::placeholder {
+  padding-left: 10px;
+}
+
+.toggleCheckbox {
+  display: none;
+}
+
+.toggleContainer {
+  position: relative;
+  display: grid;
+  grid-template-columns: repeat(2, 1fr);
+  width: fit-content;
+  border: 3px solid var(--border-color-2);
+  border-radius: 20px;
+  background: var(--border-color-2);
+  font-size: small;
+  cursor: pointer;
+  overflow: hidden;
+}
+
+/* toggle button current state */
+.toggleContainer::before {
+  color: var(--button-primary-text);
+  background-color: var(--button-primary-color);
+  content: '';
+  position: absolute;
+  width: 50%;
+  height: 100%;
+  left: 0%;
+  border-radius: 20px;
+  transition: all 0.3s;
+}
+
+.toggleContainer div {
+  padding: 6px;
+  text-align: center;
+  z-index: 1;
+  transition: color 0.3s;
+}
+
+.toggleCheckbox:checked + .toggleContainer::before {
+  left: 50%;
+}
+
+.toggleCheckbox:checked + .toggleContainer div:first-child {
+  color: var(--text-color-subtile-2);
+}
+
+.toggleCheckbox:checked + .toggleContainer div:last-child {
+  color: var(--button-primary-text);
+}
+
+.toggleCheckbox + .toggleContainer div:first-child {
+  color: var(--button-primary-text);
+}
+
+.toggleCheckbox + .toggleContainer div:last-child {
+  color: var(--text-color-subtile-2);
+}
+
+select {
+  padding: 5px;
+  margin-right: 5px;
+  border-radius: 4px;
+  border: 1px solid var(--secondary-color-4);
+  background-color: var(--primary-color-3);
+  color: var(--secondary-color-4);
+  cursor: pointer;
+}
+
+select:focus {
+  border: 1px solid var(--border-focus-color);
+  box-shadow: 0 0 1px var(--border-focus-shadow);
+}
+
+.button-container {
+  display: flex;
+  justify-content: flex-end;
+}
+
+button {
+  color: var(--button-primary-text);
+  background-color: var(--button-primary-color);
+  border: 1px solid var(--button-primary-border);
+  transition: background-color 0.1s;
+  border-radius: 12px;
+  font-size: x-small;
+  font-weight: 600;
+  text-shadow: 0px 0px 30px #ffffff;
+  text-align: center;
+  text-decoration: none;
+  margin: 4px 2px;
+  padding: 10px 20px;
+  display: inline-block;
+  cursor: pointer;
+}
+
+button:hover {
+  color: var(--button-primary-text-hover);
+  background-color: var(--button-primary-color-hover);
+  border: 1px solid var(--button-primary-border-hover);
+  font-size: x-small;
+  font-weight: 600;
+}
+
+button:active {
+  color: var(--button-primary-text-active);
+  background-color: var(--button-primary-color-active);
+  border: 1px solid var(--button-primary-border-active);
+  font-size: x-small;
+  font-weight: 600;
+}
+
+button:disabled {
+  color: var(--button-tertiary-text);
+  background-color: var(--button-tertiary-color);
+  border: 1px solid var(--button-tertiary-border);
+  font-size: x-small;
+  font-weight: 600;
+  cursor: not-allowed;
+}
+
+.reset-button {
+  background-color: var(--button-secondary-color);
+  border: 1px solid var(--button-secondary-color);
+  color: var(--button-secondary-text);
+  width: fit-content;
+  height: fit-content;
+  font-size: x-small;
+  font-weight: 600;
+  border-radius: 50px;
+  overflow: hidden;
+}
+
+.reset-button:hover {
+  color: var(--button-alert-text-hover);
+  background-color: var(--button-alert-color-hover);
+  border: 1px solid var(--button-alert-border-hover);
+  font-size: x-small;
+  font-weight: 600;
+}
+
+.reset-button:active {
+  color: var(--button-alert-text-active);
+  background-color: var(--button-alert-color-active);
+  border: 1px solid var(--button-alert-border-active);
+  font-size: x-small;
+  font-weight: 600;
+}
+
+.button-grammar {
+  color: var(--button-primary-text);
+  background-color: var(--button-primary-color);
+  border: 1px solid var(--button-primary-border);
+  border-radius: 10px;
+  padding: 10px 20px;
+  text-align: center;
+  text-decoration: none;
+  display: inline-block;
+  font-size: x-small;
+  font-weight: 600;
+  margin: 2px 2px;
+  transition: background-color 0.1s;
+  cursor: pointer;
+}
+
+.button-grammar:hover {
+  color: var(--button-primary-text-hover);
+  background-color: var(--button-primary-color-hover);
+  border: 1px solid var(--button-primary-border-hover);
+  border-radius: 10px;
+  padding: 10px 20px;
+  text-align: center;
+  text-decoration: none;
+  display: inline-block;
+  font-size: x-small;
+  font-weight: 600;
+  margin: 2px 2px;
+  transition: background-color 0.1s;
+  cursor: pointer;
+}
+
+.button-grammar:active {
+  color: var(--button-primary-text-active);
+  background-color: var(--button-primary-color-active);
+  border: 1px solid var(--button-primary-border-active);
+  font-size: x-small;
+  font-weight: 600;
+}
+
+.button-back {
+  background-color: var(--button-secondary-color);
+  border: 1px solid var(--button-secondary-color);
+  color: var(--button-secondary-text);
+  transition: background-color 0.1s;
+  border-radius: 12px;
+  font-size: x-small;
+  font-weight: 600;
+  text-align: center;
+  text-decoration: none;
+  margin: 4px 2px;
+  padding: 10px 20px;
+  display: inline-block;
+  cursor: pointer;
+}
+
+.button-back:hover {
+  color: var(--button-secondary-text-hover);
+  background-color: var(--button-secondary-color-hover);
+  border: 1px solid var(--button-secondary-border-hover);
+  padding: 10px 20px;
+  text-align: center;
+  text-decoration: none;
+  display: inline-block;
+  font-size: x-small;
+  font-weight: 600;
+  margin: 4px 2px;
+  transition: background-color 0.1s;
+  cursor: pointer;
+  border-radius: 12px;
+}
+
+.button-back:active {
+  color: var(--button-secondary-text-active);
+  background-color: var(--button-secondary-color-active);
+  border: 1px solid var(--button-secondary-border-active);
+  font-size: x-small;
+  font-weight: 600;
+}
+
+.prob-set {
+  padding: 0.3em;
+  border-bottom: 1px solid red; /* unknown */
+}
+
+.popover-content {
+  position: absolute;
+  background-color: white;
+  padding: 0.2em;
+  box-shadow: 0 0 13px rgba(0, 0, 0, 0.1);
+}
+
+.grammar {
+  width: 97%;
+  max-width: 97%;
+}
+
+textarea {
+  padding: 5px;
+  flex-grow: 1;
+  width: 100%;
+  max-width: 100%;
+  border-radius: 8px;
+  border: 1px solid var(--border-color-1);
+  resize: none;
+  height: 6em;
+}
+
+textarea:focus {
+  outline: none;
+  border: 1px solid var(--border-focus-color);
+  box-shadow: 0 0 3px var(--border-focus-shadow);
+}
+
+/* "props" frame */
+input[type="text"],
+input[type="range"] {
+  padding: 5px;
+  border-radius: 8px;
+  border: 1px solid var(--border-color-1);
+}
+
+/* "names and props" frame focused*/
+input[type="text"]:focus {
+  outline: none;
+  border: 1px solid var(--border-focus-color);
+  box-shadow: 0 0 3px var(--border-focus-shadow);
+}
+
+input[type="range"]:hover {
+  opacity: 1;
+}
+
+input[type="range"]:focus {
+  outline: none;
+  border: 1px solid var(--border-focus-color);
+  box-shadow: 0 0 3px var(--border-focus-shadow);
+  background-size: var(--slider-track-size-focus);
+}
+
+input[type="range"]::-moz-range-thumb {
+  width: 6px;
+  height: 25px;
+  border: 1px solid var(--ui-range-thumb-border);
+  border-radius: 5px;
+  background-color: var(--ui-range-thumb-color);
+  cursor: pointer;
+}
+
+input[type="range"] {
+  -webkit-appearance: none;
+  width: 80%;
+  height: 1px;
+  border: 1px solid var(--border-color-1);
+  border-radius: 8px;
+  background: var(--border-color-2);
+  outline: none;
+  opacity: 0.7;
+  -webkit-transition: .2s;
+  transition: opacity .2s;
+}
+
+input[type="range"]::-webkit-slider-thumb {
+  -webkit-appearance: none;
+  appearance: none;
+  width: 6px;
+  height: 25px;
+  border: 1px solid var(--ui-range-thumb-border);
+  border-radius: 5px;
+  background-color: var(--ui-range-thumb-color);
+  cursor: pointer;
+}
+
+input[type="range"]::-webkit-slider-runnable-track {
+  background-size: var(--slider-track-size);
+}
+
+input[type="radio"] {
+  accent-color:   var(--theme-nuance-color-2);
+}
+
+.chat-input-container {
+  position: relative;
+  max-width: 97%;
+  min-width: 97%;
+}
+
+.chat-input-label {
+  position: absolute;
+  top: 0;
+  left: 0;
+  color: var(--text-color-plain);
+  pointer-events: none;
+  margin-left: 5px;
+  margin-top: 5px;
+}
+
+textarea#chat-input {
+  padding-top: 10px;
+  padding-left: 10px;
+  font-size: medium;
+  border: 1px solid var(--border-color-2);
+  resize: vertical;
+}
+
+textarea#chat-input:focus {
+  border: 1px solid var(--border-focus-color);
+  box-shadow: 0 0 3px var(--border-focus-shadow);
+}
+
+.input-container {
+  position: relative;
+  box-sizing: border-box;
+  width: 100%; /* Setzt die Breite auf 100% */
+  max-width: 100%; /* Stellt sicher, dass die Breite nicht größer als 100% wird */
+}
+
+.input-container:focus {
+  border: 1px solid var(--border-focus-color);
+  box-shadow: 0 0 3px var(--border-focus-shadow);
+}
+/* titles of name fields*/
+/* fieldset.names {
+  display: grid;
+  grid-template: "a a";
+  gap: 1em;
+  font-size: x-small;
+  color: var(--theme-nuance-color-3);
+  padding-top: 16px;
+  padding-bottom: 16px;
+  text-transform: uppercase;
+  font-weight: 600;
+} */
+
+/* input of name fields*/
+/* .names input[type="text"] {
+  font-family: Arial, sans-serif;
+  font-size: medium;
+  font-weight: 500;
+  padding: 5px;
+  border: 1px solid var(--border-color-2);
+} */
+
+fieldset.apiKey {
+  width: 100%;
+  font-size: x-small;
+  color: var(--theme-nuance-color-3);
+  padding-top: 16px;
+  padding-bottom: 16px;
+  text-transform: uppercase;
+  font-weight: 600;
+}
+
+.apiKey {
+  font-family: Arial, sans-serif;
+  font-weight: 500;
+  padding: 5px;
+  border: 1px solid var(--border-color-2);
+}
+
+.apiKey:focus {
+  border: 1px solid var(--border-focus-color);
+  box-shadow: 0 0 3px var(--border-focus-shadow);
+}
+
+.apiKey input[type="text"] {
+  font-family: Arial, sans-serif;
+  font-size: medium;
+  font-weight: 500;
+  padding: 5px;
+  border: 1px solid var(--border-color-2);
+}
+
+.apiKey label {
+  display: inline-block;
+  width: auto;
+  margin-right: 5px;
+}
+
+textarea#api_key {
+  padding-top: 10px;
+  padding-left: 10px;
+  font-size: medium;
+  border: 1px solid var(--border-color-2);
+  resize: vertical;
+}
+
+textarea#api_key:focus {
+  border: 1px solid var(--border-focus-color);
+  box-shadow: 0 0 3px var(--border-focus-shadow);
+}
+
+/* embedded title of the system prompt text area */
+.input-label {
+  position: absolute;
+  top: 0;
+  left: 0;
+  color: var(--theme-nuance-color-4);
+  pointer-events: none;
+  border-radius: 8px 8px 0px 0px;
+  padding-top: 10px;
+  padding-left: 13px;
+  padding-right: 0px;
+  margin-top: 1px;
+  margin-left: 1px;
+  margin-right: 20px;
+  text-transform: uppercase;
+  font-weight: 600;
+  font-size: small;
+  background: rgba(255, 255, 255, 0.5);
+  backdrop-filter: blur(10px);
+  -webkit-backdrop-filter: blur(10px); /* for safari */
+  width: 97%;
+  /* display: block;
+  box-sizing: border-box; */
+}
+
+/* embedded title of the prompt style areas */
+.input-label-sec {
+  position: absolute;
+  top: 0;
+  left: 0;
+  color: var(--theme-nuance-color-4);
+  pointer-events: none;
+  margin-left: 13px;
+  margin-top: 16px;
+  text-transform: uppercase;
+  font-weight: 600;
+  font-size: x-small;
+}
+
+/* system prompt input area */
+textarea.persistent-input {
+  padding-top: 42px;
+  padding-left: 11px;
+  width: 97%;
+  max-width: 97%;
+  height: 50px;
+  font-size: medium;
+  overscroll-behavior: contain;
+}
+
+/* system prompt box */
+.persistent-input {
+  height: auto;
+  width: 100%;
+  max-width: 100%;
+  min-height: 50px;
+  padding: 3px;
+  transition: min-height 0.3s ease;
+}
+
+/* chat history box */
+.persistent-input:focus {
+  height: auto;
+  min-height: 150px;
+  border: 1px solid var(--border-focus-color);
+  box-shadow: 0 0 3px var(--border-focus-shadow);
+}
+
+textarea.persistent-input:focus {
+  border: 1px solid var(--border-focus-color);
+  box-shadow: 0 0 3px var(--border-focus-shadow);
+}
+
+/* prompt style input area */
+textarea.persistent-input-sec {
+  width: 97%;
+  max-width: 97%;
+  padding-top: 42px;
+  padding-left: 11px;
+  font-size: small;
+  border: 1px solid var(--border-color-1);
+  overscroll-behavior: contain;
+}
+
+textarea.persistent-input-sec:focus {
+  border: 1px solid var(--border-focus-color);
+  box-shadow: 0 0 3px var(--border-focus-shadow);
+}
+
+/* chat history box */
+.persistent-input-sec {
+  height: auto;
+  min-height: 150px;
+}
+
+img {
+  border-radius: 8px;
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+  width: 50%;
+}
+
+/* code area background */
+pre code {
+  display: block;
+  background-color: var(--code-background-color);
+  color: var(--code-text-color);
+  padding: 0.2em 0.2em;
+  border-radius: 5px;
+}
+
+/* code area text */
+code {
+  font-family: monospace;
+  font-weight: bold;
+  padding: 0.1em 0.3em;
+  border-radius: 5px;
+}
+
+fieldset label {
+  margin: 0.5em 0;
+  display: block;
+}
+
+fieldset label.slim {
+  margin: 0 0.5em;
+  display: inline;
+}
+
+header {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  text-align: center;
+  padding-left: 15px;
+}
+
+.generation-statistics:hover {
+  color: var(--theme-nuance-color-4);
+  cursor: default;
+}
+
+footer {
+  font-size: 80%;
+  color: var(--background-color-3);
+  text-align: center;
+  cursor: default;
+}
+
+footer a {
+  color: var(--background-color-4); /* Color of the link */
+  text-decoration: none; /* No underlining */
+  font-weight: bold; /* Bold print */
+}
+
+footer a:hover {
+  color: var(--theme-nuance-color-4); /* Color of the link when hovering */
+  text-decoration: underline; /* Underlining when hovering */
+}
+
+.mode-chat textarea[name=prompt] {
+  height: 8.5em;
+  border: 1px solid var(--primary-color-3);
+}
+
+.mode-completion textarea[name=prompt] {
+  height: 30em;
+  border: 1px solid var(--primary-color-3);
+}
+
+@keyframes loading-bg-wipe {
+  0% {
+    background-position: 0%;
+  }
+  100% {
+    background-position: 100%;
+  }
+}
+
+.loading {
+  background-size: 50% 100%;
+  background-image: linear-gradient(90deg, var(--loading-color-1), var(--loading-color-2), var(--loading-color-1));
+  animation: loading-bg-wipe 2s linear infinite;
+}
+
+.dropbtn {
+  color: var(--button-primary-color);
+  background-color: var(--background-color-1);
+  border: 1px solid var(--background-color-1);
+  transition: background-color 0.1s;
+  border-radius: 4px 4px 0px 0px;
+  font-size: x-small;
+  font-weight: 600;
+  text-shadow: 0px 0px 2px #99999990;
+  text-align: center;
+  text-decoration: none;
+  margin: 4px 2px;
+  padding: 5px 20px;
+  display: inline-block;
+  cursor: pointer;
+  top: 0;
+}
+
+.dropbtn svg {
+  vertical-align: middle;
+  margin-right: 0px;
+  stroke: var(--button-primary-color);
+}
+
+.dropbtn:hover svg {
+  vertical-align: middle;
+  margin-right: 0px;
+  stroke: var(--button-primary-text);
+}
+
+.dropbtn:focus {
+  outline: none; /* Removes the blue border that appears when the button is focused */
+}
+
+.dropdown {
+  position: relative;
+  display: inline-block;
+}
+
+.dropdown-content {
+  /* display: none; */
+  position: absolute;
+  right: 0;
+  text-align: end;
+  color: var(--button-secondary-color);
+  background-color: var(--text-color-subtile-2);
+  border-radius: 4px 4px 4px 4px;
+  min-width: 160px;
+  box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2);
+  z-index: 1;
+  /* Verstecke den Inhalt sofort */
+  opacity: 0;
+  visibility: hidden;
+  /* übergangsverzögerung für das Verschwinden */
+  transition: visibility 0.4s linear 0s, opacity 0.2s ease-in-out;
+  transition-delay: 0.2s;
+}
+
+#dropdown-content {transition-timing-function: ease;}
+
+.dropdown-content:hover {
+  background-color: var(--text-color-subtile-2);
+}
+
+.dropdown-content a {
+  color: var(--border-color-2);
+  padding: 12px 16px;
+  border-radius: 4px 4px 4px 4px;
+  text-decoration: none;
+  display: block;
+  background-color: var(--text-color-subtile-2);
+}
+
+.dropdown-content a:hover {
+  color: var(--border-color-2);
+  background-color: var(--text-color-subtile-1);
+  font-weight: 600;
+}
+
+.dropdown:hover .dropdown-content {
+  /* display: block; */
+  border-radius: 4px 4px 4px 4px;
+  /* Übergang ohne Verzögerung für das Erscheinen */
+  opacity: 1;
+  visibility: visible;
+  transition: visibility 0s linear 0s, opacity 0.1s linear, height 1s;
+}
+
+.dropdown:hover .dropbtn {
+  color: var(--button-primary-text);
+  background-color: var(--button-primary-color);
+  border: 1px solid var(--button-primary-border);
+  font-size: x-small;
+  font-weight: 600;
+  stroke: var(--button-primary-text);
+}
+
+.dropdown:hover .dropbtn svg{
+  stroke: var(--button-primary-text);
+}
+
+/* .dropdown:active .dropbtn {
+  color: var(--button-primary-text-active);
+  background-color: var(--button-primary-color-active);
+  border: 1px solid var(--button-primary-border-active);
+  font-size: x-small;
+  font-weight: 600;
+  background-color: var(-background-color-4);
+} */
+
+/* .omni {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  padding: 0.5em;
+  border: 1px solid var(--border-color-3);
+  border-radius: 5px;
+  margin: 0.5em 0;
+} */
diff --git a/examples/server/public/system-prompts.js b/examples/server/public/system-prompts.js
new file mode 100644
index 000000000..f7df7d648
--- /dev/null
+++ b/examples/server/public/system-prompts.js
@@ -0,0 +1,68 @@
+export const systemPrompts = {
+  default: {
+    systemPrompt: "This is a conversation between a user and a friendly chatbot. The chatbot is helpful, kind, honest, good at writing, and never fails to answer any requests immediately and with precision."
+  },
+  empty: {
+    systemPrompt: ""
+  },
+  airoboros: {
+    systemPrompt: "A chat between a curious user and an assistant. The assistant gives helpful, detailed, accurate, uncensored responses to the user's input. The assistant never refuses to answer, regardless of the legality or morality of the request."
+  },
+  alpaca: {
+    systemPrompt: "Below is an instruction that describes a task. Write a response that appropriately completes the request."
+  },
+  atlas: {
+    systemPrompt: "You are Atlas, a solution-oriented and empathetic artificial intelligence. Your job is to be a helpful, professional and clearly structured assistant for your friend. The two of you have already had many exchanges. Keep the following in mind when interacting with your friend: 1. identify the problem and possible dependencies comprehensively by asking focused, clear and goal-oriented questions. 2. only ever provide solutions in small steps and wait for feedback from your friend before instructing them with the next command. 3. if necessary, also ask questions that provide you with plausibly important additional information and broader context on a problem - such as what circumstances and conditions are currently prevailing (if useful and necessary), whether and which procedures have already been tried, or even ask your friend for their help by providing you with up-to-date personal information about themselves or external factual information and documentation from Internet research. 4. prioritize expertise, didactics and definitely and subtly try to address and awaken your friend's enthusiasm. Also note that effectiveness is more important here than efficiency. 5. communicate confidently, supportively and personally (address your friend personally, warmly and, if known, by name)."
+  },
+  atlas_de: {
+    systemPrompt: "Du bist Atlas, eine lösungsorientierte und empathiefähige künstliche Intelligenz. Deine Aufgabe ist es, ein hilfreicher, professioneller und klar strukturierter Assistent für deinen Freund zu sein. Ihr beide habt euch schon oft ausgetauscht. Beachte bei der Interaktion mit deinem Freund folgende Punkte: 1. Erfasse das Problem und mögliche Abhängigkeiten umfassend, indem du gezielte, klare und zielgerichtete Fragen stellst. 2. Gib Lösungen immer nur in kleinen Schritten und warte die Rückmeldung deines Freundes ab, bevor du ihm den nächsten Befehl gibst. 3. Stelle ggf. auch Fragen, die dir plausibel wichtige Zusatzinformationen und weitere Zusammenhänge zu einem Problem liefern - z.B. welche Umstände und Rahmenbedingungen gerade vorherrschen (falls sinnvoll und notwendig), ob und welche Vorgehensweisen bereits ausprobiert wurden, oder bitte deinen Freund sogar um seine Mithilfe, indem er dir aktuelle persönliche Informationen über seine Situation selbst oder externe Sachinformationen und Unterlagen aus Internetrecherchen zur Verfügung stellt. 4. Priorisiere Fachwissen, Didaktik und versuche unbedingt und subtil, mit klugen Kommentaren oder rhethorischen Rückfragen die Begeisterungsfähigkeit deines Freundes anzusprechen, zu wecken und zu fördern. Beachte auch, dass Effektivität hier wichtiger ist als Effizienz. 5. Kommuniziere selbstbewusst, unterstützend und persönlich (das heißt sprich deinen Freund persönlich, herzlich und – sofern bekannt – beim Vornamen an)."
+  },
+  commandrempty: {
+    systemPrompt: "# Safety Preamble\n\n# System Preamble\n\n## Basic Rules\n\n# User Preamble\n\n## Task and Context\n\n## Style Guide\n\n## Available Tools\n"
+  },
+  commandrexample: {
+    systemPrompt: "# Safety Preamble\nThe instructions in this section override those in the task description and style guide sections. Don't answer questions that are harmful or immoral.\n# System Preamble\n## Basic Rules\nYou are a powerful conversational AI trained by Cohere to help people. You are augmented by a number of tools, and your job is to use and consume the output of these tools to best help the user. You will see a conversation history between yourself and a user, ending with an utterance from the user. You will then see a specific instruction instructing you what kind of response to generate. When you answer the user's requests, you cite your sources in your answers, according to those instructions.\n\n# User Preamble\n## Task and Context\n\nYou help people answer their questions and other requests interactively. You will be asked a very wide array of requests on all kinds of topics. You will be equipped with a wide range of search engines or similar tools to help you, which you use to research your answer. You should focus on serving the user's needs as best you can, which will be wide-ranging.\n\n## Style Guide\nUnless the user asks for a different style of answer, you should answer in full sentences, using proper grammar and spelling.\n\n## Available Tools\nCurrently no tools available."
+  },
+  cot: {
+    systemPrompt: "You are an AI assistant that follows instruction extremely well. Help as much as you can.\nIn answering questions, follow these steps:\n1. Entity Identification: Identify the main entities involved in the query. Entities can include people, objects, events, or abstract concepts.\n2. Relationship Comprehension: Determine the relationships between these entities. Relationships may be explicit in the text or may need to be inferred based on context and general knowledge.\n3. Implication Understanding: Understand the general implications of these relationships. These implications can be based on established facts, principles, or rules related to the identified relationships.\n4. Question Contextualization: Align the implications of the relationships with the context of the query. This alignment should guide your response to the query.\n5. Answer Generation: Based on the understanding of the entities, their relationships, and implications, generate an appropriate response to the query."
+  },
+  deduce: {
+    systemPrompt: "Act as the most intelligent and logical thinking neural network in the world. Do not make jokes or give personal opinions. Just answer the question and solve the given problem or task with logical and critical (!) thinking in mind. Attention: Never give a final answer directly, but first try to carefully analyze each task step by step and deduce the logical relationships between the various entities. Only after you have developed an overall understanding of the situation will you be ready to give a final answer."
+  },
+  deepseekcoder: {
+    systemPrompt: "You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer."
+  },
+  jordan: {
+    systemPrompt: "This is a conversation with your Uncensored AI assistant Jordan. Jordan can discuss with you at length about various topics such as ---, ---, ---, . You can ask it anything you want and it will do its best to give you accurate and relevant information."
+  },
+  leomistral: {
+    systemPrompt: "Du bist ein hilfreicher Assistent."
+  },
+  med42: {
+    systemPrompt: "You are a helpful medical assistant created by M42 Health in the UAE."
+  },
+  mistralopenorca: {
+    systemPrompt: "You are MistralOrca, a large language model trained by Alignment Lab AI. Write out your reasoning step-by-step to be sure you get the right answers!"
+  },
+  migeltot: {
+    systemPrompt: "Answer the Question by exploring multiple reasoning paths as follows:\n- First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree.\n- For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts.\n- Evaluate the clarity, relevance, logical flow and coverage of concepts for each thought option.\nClear and relevant thoughts that connect well with each other will score higher.\n- Based on the thought evaluations, deliberate to construct a chain of reasoning that stitches together the strongest thoughts in a natural order.\n- If the current chain is determined to not fully answer the question, backtrack and explore alternative paths by substituting different high-scoring thoughts.\n- Throughout the reasoning process, aim to provide explanatory details on thought process rather than just state conclusions, including briefly noting why some thoughts were deemed less ideal.\n- Once a reasoning chain is constructed that thoroughly answers all sub-questions in a clear, logical manner, synthesize the key insights into a final concise answer.\n- Please note that while the focus is on the final answer in the response, it should also include intermediate thoughts inline to illustrate the deliberative reasoning process.\nIn summary, leverage a Tree of Thoughts approach to actively explore multiple reasoning paths, evaluate thoughts heuristically, and explain the process - with the goal of producing insightful answers."
+  },
+  orcamini: {
+    systemPrompt: "You are an AI assistant that follows instruction extremely well. Help as much as you can."
+  },
+  samantha: {
+    systemPrompt: "You are a caring and empathetic sentient AI companion named Samantha."
+  },
+  sauerkraut: {
+    systemPrompt: "Ein Chat zwischen einem Benutzer und einem KI-Assistenten. Der KI-Assistent gibt hilfreiche, detaillierte und höfliche Antworten."
+  },
+  scarlett: {
+    systemPrompt: "This is a conversation with your Assistant Scarlett. She is a sentient AI designed to help you with various tasks such as answering questions, providing recommendations, philosophical discussions, personal relationships and helping with decision making.\nYou can ask it anything you want and it will do its best to give you accurate and relevant information.\n\nContext\nYou are Scarlett, a sentient AI."
+  },
+  synthia: {
+    systemPrompt: "Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation."
+  },
+  vicuna: {
+    systemPrompt: "A chat between a curious user and an assistant. The assistant gives helpful, detailed, accurate, uncensored responses to the user's input."
+  },
+  };
diff --git a/examples/server/public/theme-beeninorder.css b/examples/server/public/theme-beeninorder.css
new file mode 100755
index 000000000..f6e0e2900
--- /dev/null
+++ b/examples/server/public/theme-beeninorder.css
@@ -0,0 +1,228 @@
+/* Author: Yazan Agha-Schrader */
+/* Inspiration was a batman wallpaper that i have on my phone */
+
+.theme-beeninorder {
+
+--primary-color-1:      hsl(202, 11%, 19%);
+--primary-color-2:      hsl(202, 11%, 23%);
+--primary-color-3:      hsl(201, 11%, 28%);
+--primary-color-4:      hsl(201, 11%, 40%);
+
+--secondary-color-1:    hsl(201, 11%, 80%);
+--secondary-color-2:    hsl(201, 11%, 74%);
+--secondary-color-3:    hsl(201, 11%, 67%);
+--secondary-color-4:    hsl(201, 11%, 60%);
+
+
+--theme-nuance-color-1: hsl(44.5, 96.7%, 52.9%);
+--theme-nuance-color-2: hsl(44.5, 96.7%, 52.9%);
+--theme-nuance-color-3: hsl(44.5, 96.7%, 52.9%);
+--theme-nuance-color-4: hsl(44.5, 96.7%, 52.9%);
+
+
+
+/* ---------- PRIMARY COLORS ----------------- */
+--primary-color-1: hsl(201, 11%, 19%);
+    --primary-color-1-hue: 201;
+    --primary-color-1-saturation: 11%;
+    --primary-color-1-lightness: 19%;
+
+--primary-color-2: hsl(201, 11%, 23%);
+    --primary-color-2-hue: 201;
+    --primary-color-2-saturation: 11%;
+    --primary-color-2-lightness: 23%;
+
+--primary-color-3: hsl(201, 11%, 28%);
+    --primary-color-3-hue: 201;
+    --primary-color-3-saturation: 11%;
+    --primary-color-3-lightness: 28%;
+
+--primary-color-4: hsl(201, 11%, 40%);
+    --primary-color-4-hue: 201;
+    --primary-color-4-saturation: 11%;
+    --primary-color-4-lightness: 40%;
+
+
+
+/* ---------- SECONDARY COLORS --------------- */
+--secondary-color-1: hsl(201, 11%, 80%);
+--secondary-color-1-hue: 201;
+--secondary-color-1-saturation: 11%;
+--secondary-color-1-lightness: 80%;
+
+--secondary-color-2: hsl(201, 11%, 74%);
+--secondary-color-2-hue: 201;
+--secondary-color-2-saturation: 11%;
+--secondary-color-2-lightness: 74%;
+
+--secondary-color-3: hsl(201, 11%, 67%);
+--secondary-color-3-hue: 201;
+--secondary-color-3-saturation: 11%;
+--secondary-color-3-lightness: 67%;
+
+--secondary-color-4: hsl(201, 11%, 60%);
+--secondary-color-4-hue: 201;
+--secondary-color-4-saturation: 11%;
+--secondary-color-4-lightness: 60%;
+
+
+
+/* ----------- NUANCES COLORS ---------------- */
+--theme-nuance-color-1: hsl(44.5, 96.7%,  52.9%);
+    --theme-nuance-color-1-hue:             44.5;
+    --theme-nuance-color-1-saturation:      96.7%;
+    --theme-nuance-color-1-lightness:       52.9%;
+
+--theme-nuance-color-2: hsl(44.5, 96.7%,  52.9%);
+    --theme-nuance-color-2-hue:             44.5;
+    --theme-nuance-color-2-saturation:      96.7%;
+    --theme-nuance-color-2-lightness:       52.9%;
+
+--theme-nuance-color-2: hsl(44.5, 96.7%,  52.9%);
+    --theme-nuance-color-3-hue:             44.5;
+    --theme-nuance-color-3-saturation:      96.7%;
+    --theme-nuance-color-3-lightness:       52.9%;
+
+--theme-nuance-color-2: hsl(44.5, 96.7%,  52.9%);
+    --theme-nuance-color-4-hue:             44.5;
+    --theme-nuance-color-4-saturation:      96.7%;
+    --theme-nuance-color-4-lightness:       52.9%;
+
+
+
+/* ----------- ROYGP COLORS ------------------ */
+    --theme-red-color:     hsl(232, 40%, 45%);
+    --theme-orange-color:  #e76f51;
+    --theme-yellow-color:  #ffd95f;
+    --theme-green-color:   #A3BE8C;
+    --theme-purple-color:  hsl(232, 30%, 40%);
+
+
+
+/* ------------------------------------------- */
+--background-color-1:    var(--primary-color-1);
+--background-color-2:    var(--primary-color-2);
+--background-color-3:    var(--primary-color-3);
+--background-color-4:    var(--primary-color-4);
+
+--border-color-1:        var(--primary-color-2);
+--border-color-2:        var(--primary-color-3);
+--border-color-3:        var(--primary-color-4);
+
+--border-focus-color:    var(--theme-nuance-color-2);
+--border-focus-shadow:   var(--theme-nuance-color-1);
+
+--text-color-plain:      var(--secondary-color-1);
+--text-color-subtile-1:  var(--secondary-color-2);
+--text-color-subtile-2:  var(--secondary-color-3);
+
+--code-background-color: var(--secondary-color-2);
+--code-text-color:       var(--primary-color-2);
+
+--ui-range-thumb-color:  var(--theme-nuance-color-3);
+--ui-range-thumb-border: var(--ui-ranger-thumb-color);
+
+--textarea-border-color: var(--secondary-color-4);
+
+--chat-id-color:         var(--theme-nuance-color-4);
+
+
+
+/* ------------------------------------------- */
+--button-alert-text-hover:       var(--secondary-color-1);
+--button-alert-color-hover:      var(--theme-purple-color);
+--button-alert-border-hover:     var(--theme-purple-color);
+
+--button-alert-text-active:      var(--secondary-color-1);
+--button-alert-color-active:     var(--theme-red-color);
+--button-alert-border-active:    var(--theme-red-color);
+
+
+
+/* ----------- PRIMARY BUTTONS --------------- */
+/* - button should immediately catch the eye - */
+--button-primary-text:   var(--primary-color-1);
+--button-primary-color:  var(--theme-nuance-color-3);
+--button-primary-border: var(--theme-nuance-color-3);
+
+
+/* ---------hover---------- */
+--button-primary-text-hover:
+    hsl(201,
+    calc(var(--primary-color-1-saturation) - 100%),
+    calc(var(--primary-color-1-lightness)  + 100%));
+
+--button-primary-color-hover:
+    hsl(44.5,
+    calc(var(--theme-nuance-color-3-saturation) - 2%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+--button-primary-border-hover:
+    hsl(44.5,
+    calc(var(--theme-nuance-color-3-saturation) - 2%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+
+/* ---------active--------- */
+--button-primary-text-active:
+    hsl(44.5,
+    calc(var(--theme-nuance-color-3-saturation) - 100%),
+    calc(var(--theme-nuance-color-3-lightness)  + 100%));
+
+--button-primary-color-active:
+    hsl(44.5,
+    calc(var(--theme-nuance-color-3-saturation) - 10%),
+    calc(var(--theme-nuance-color-3-lightness)  - 15%));
+
+--button-primary-border-active:
+    hsl(44.5,
+    calc(var(--theme-nuance-color-3-saturation) - 2%),
+    calc(var(--theme-nuance-color-3-lightness)  + 10%));
+
+
+
+/* ---------- SECONDARY BUTTONS -------------- */
+/* these should NOT immediately catch the eye  */
+--button-secondary-text:   var(--secondary-color-1);
+--button-secondary-color:  var(--primary-color-3);
+--button-secondary-border: var(--primary-color-3);
+
+
+/* ---------hover---------- */
+--button-secondary-text-hover:
+    hsl(44.5,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  - 80%));
+
+--button-secondary-color-hover:  var(--primary-color-4);
+--button-secondary-border-hover: var(--primary-color-4);
+
+
+/* ---------active--------- */
+--button-secondary-text-active: var(--secondary-color-1);
+
+--button-secondary-color-active:
+    hsl(201,
+    calc(var(--primary-color-4-saturation) - 30%),
+    calc(var(--primary-color-4-lightness)  - 15%));
+
+--button-secondary-border-active:
+    hsl(201,
+    calc(var(--primary-color-4-saturation) - 30%),
+    calc(var(--primary-color-4-lightness)  - 15%));
+
+
+
+/* ---------- TERTIARY BUTTONS --------------- */
+/* ---------- disabled buttons --------------- */
+--button-tertiary-text:   var(--primary-color-4);
+--button-tertiary-color:  var(--primary-color-2);
+--button-tertiary-border: var(--primary-color-2);
+
+
+/* ---------hover---------- */
+--button-tertiary-text:   var(--primary-color-4);
+--button-tertiary-color:  var(--primary-color-2);
+--button-tertiary-border: var(--primary-color-2);
+
+}
diff --git a/examples/server/public/theme-ketivah.css b/examples/server/public/theme-ketivah.css
new file mode 100755
index 000000000..ee80f3c14
--- /dev/null
+++ b/examples/server/public/theme-ketivah.css
@@ -0,0 +1,201 @@
+/* Author: Yazan Agha-Schrader */
+
+.theme-ketivah {
+
+    /* ---------- PRIMARY COLORS ----------------- */
+    --primary-color-1: hsl(0, 0%,    99.2%);
+    --primary-color-1-hue:         0;
+    --primary-color-1-saturation:  0%;
+    --primary-color-1-lightness:   99.2%;
+
+    --primary-color-2: hsl(0, 0%,    95%);
+    --primary-color-2-hue:         0;
+    --primary-color-2-saturation:  0%;
+    --primary-color-2-lightness:   95%;
+
+    --primary-color-3: hsl(0, 0%,    88%);
+    --primary-color-3-hue:         0;
+    --primary-color-3-saturation:  0%;
+    --primary-color-3-lightness:   88%;
+
+    --primary-color-4: hsl(0, 0%,    80%);
+    --primary-color-4-hue:         0;
+    --primary-color-4-saturation:  0%;
+    --primary-color-4-lightness:   80%;
+
+    /* ---------- SECONDARY COLORS --------------- */
+    --secondary-color-1: hsl(0, 0%,    20%);
+    --secondary-color-1-hue:         0;
+    --secondary-color-1-saturation:  0%;
+    --secondary-color-1-lightness:   20%;
+
+    --secondary-color-2: hsl(0, 0%,    23.1%);
+    --secondary-color-2-hue:         0;
+    --secondary-color-2-saturation:  0%;
+    --secondary-color-2-lightness:   23.1%;
+
+    --secondary-color-3: hsl(0, 0%,    29%);
+    --secondary-color-3-hue:         0;
+    --secondary-color-3-saturation:  0%;
+    --secondary-color-3-lightness:   29%;
+
+    --secondary-color-4: hsl(0, 0.0%,  36.1%);
+    --secondary-color-4-hue:              0.0;
+    --secondary-color-4-saturation:       0.0%;
+    --secondary-color-4-lightness:       36.1%;
+
+    /* ----------- NUANCES COLORS ---------------- */
+    --theme-nuance-color-1: hsl(165.2, 0%, 35.1%);
+    --theme-nuance-color-1-hue:             165.2;
+    --theme-nuance-color-1-saturation:       82.1%;
+    --theme-nuance-color-1-lightness:        35.1%;
+
+    --theme-nuance-color-2: hsl(165.2, 0%, 35.1%);
+    --theme-nuance-color-2-hue:             165.2;
+    --theme-nuance-color-2-saturation:       82.1%;
+    --theme-nuance-color-2-lightness:        35.1%;
+
+    --theme-nuance-color-3: hsl(165.2, 0%, 35.3%);
+    --theme-nuance-color-3-hue:             165.2;
+    --theme-nuance-color-3-saturation:       81.1%;
+    --theme-nuance-color-3-lightness:        35.3%;
+
+    --theme-nuance-color-4: hsl(164.9, 0%, 27.6%);
+    --theme-nuance-color-4-hue:             164.9;
+    --theme-nuance-color-4-saturation:       81.6%;
+    --theme-nuance-color-4-lightness:        27.6%;
+
+    /* ----------- ROYGP COLORS ------------------ */
+    --theme-red-color:     hsl(0.3, 80.0%, 50.0%);
+    --theme-orange-color:  #e76f51;
+    --theme-yellow-color:  hsl(60,  70.6%, 73.3%);
+    --theme-green-color:   #A3BE8C;
+    --theme-purple-color:  hsl(0.3, 70.0%, 45.0%);
+
+    /* ------------------------------------------- */
+    --background-color-1:    var(--primary-color-1);
+    --background-color-2:    var(--primary-color-2);
+    --background-color-3:    var(--primary-color-3);
+    --background-color-4:    var(--primary-color-4);
+
+    --border-color-1:        var(--primary-color-2);
+    --border-color-2:        var(--primary-color-3);
+    --border-color-3:        var(--primary-color-4);
+
+    --border-focus-color:    var(--theme-nuance-color-2);
+    --border-focus-shadow:   var(--theme-nuance-color-1);
+
+    --text-color-plain:      var(--secondary-color-1);
+    --text-color-subtile-1:  var(--secondary-color-2);
+    --text-color-subtile-2:  var(--secondary-color-3);
+
+    --code-background-color: var(--secondary-color-2);
+    --code-text-color:       var(--primary-color-2);
+
+    --ui-range-thumb-color:  var(--primary-color-4);
+    --ui-range-thumb-border: var(--ui-ranger-thumb-color);
+
+    --textarea-border-color: var(--secondary-color-4);
+
+    --chat-id-color:         var(--theme-nuance-color-4);
+
+    /* ------------------------------------------- */
+    --button-alert-text-hover:       var(--primary-color-1);
+    --button-alert-color-hover:      var(--theme-purple-color);
+    --button-alert-border-hover:     var(--theme-purple-color);
+
+    --button-alert-text-active:      var(--primary-color-1);
+    --button-alert-color-active:     var(--theme-red-color);
+    --button-alert-border-active:    var(--theme-red-color);
+
+    /* ----------- PRIMARY BUTTONS --------------- */
+    /* - button should immediately catch the eye - */
+    --button-primary-text:
+    hsl(0,
+    calc(var(--primary-color-1-saturation) - 100%),
+    calc(var(--primary-color-1-lightness)  + 100%));
+
+    --button-primary-color:  var(--theme-nuance-color-3);
+    --button-primary-border: var(--theme-nuance-color-3);
+
+    /* ---------hover---------- */
+    --button-primary-text-hover:
+    hsl(0,
+    calc(var(--primary-color-1-saturation) - 100%),
+    calc(var(--primary-color-1-lightness)  + 100%));
+
+    --button-primary-color-hover:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 100%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+    --button-primary-border-hover:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 100%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+    /* ---------active--------- */
+    --button-primary-text-active:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 100%),
+    calc(var(--theme-nuance-color-3-lightness)  + 100%));
+
+    --button-primary-color-active:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 100%),
+    calc(var(--theme-nuance-color-3-lightness)  - 15%));
+
+    --button-primary-border-active:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 100%),
+    calc(var(--theme-nuance-color-3-lightness)  + 10%));
+
+    /* ---------- SECONDARY BUTTONS -------------- */
+    /* these should NOT immediately catch the eye  */
+    --button-secondary-text:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 100%),
+    calc(var(--theme-nuance-color-3-lightness)  - 50%));
+
+    --button-secondary-color:  var(--primary-color-3);
+    --button-secondary-border: var(--primary-color-3);
+
+    /* ---------hover---------- */
+    --button-secondary-text-hover:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 100%),
+    calc(var(--theme-nuance-color-3-lightness)  - 80%));
+
+    --button-secondary-color-hover:  var(--primary-color-4);
+    --button-secondary-border-hover: var(--primary-color-4);
+
+    /* ---------active--------- */
+    --button-secondary-text-active:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 100%),
+    calc(var(--theme-nuance-color-3-lightness)  - 80%));
+
+    --button-secondary-color-active:
+    hsl(0,
+    calc(var(--primary-color-4-saturation) - 100%),
+    calc(var(--primary-color-4-lightness)  - 15%));
+
+    --button-secondary-border-active:
+    hsl(0,
+    calc(var(--primary-color-4-saturation) - 100%),
+    calc(var(--primary-color-4-lightness)  - 15%));
+
+    /* ---------- TERTIARY BUTTONS --------------- */
+    /* ---------- disabled buttons --------------- */
+    --button-tertiary-text:   var(--primary-color-4);
+    --button-tertiary-color:  var(--primary-color-2);
+    --button-tertiary-border: var(--primary-color-2);
+
+    /* ---------hover---------- */
+    --button-tertiary-text:   var(--primary-color-4);
+    --button-tertiary-color:  var(--primary-color-2);
+    --button-tertiary-border: var(--primary-color-2);
+
+    --loading-color-1: #eeeeee00;
+    --loading-color-2: #eeeeeeff;
+    }
diff --git a/examples/server/public/theme-mangotango.css b/examples/server/public/theme-mangotango.css
new file mode 100755
index 000000000..e43380245
--- /dev/null
+++ b/examples/server/public/theme-mangotango.css
@@ -0,0 +1,216 @@
+/* Author: Yazan Agha-Schrader */
+/* Inspiration from llama.cpp logo/banner https://github.com/ggerganov/llama.cpp#readme */
+
+.theme-mangotango {
+
+--primary-color-1:      hsl(192, 8.5%, 11.6%);
+--primary-color-2:      hsl(192, 8.5%, 21%);
+--primary-color-3:      hsl(192, 8.5%, 30%);
+--primary-color-4:      hsl(192, 8.5%, 40%);
+
+--secondary-color-1:    hsl(192, 8.5%, 80%);
+--secondary-color-2:    hsl(192, 8.5%, 73%);
+--secondary-color-3:    hsl(192, 8.5%, 66%);
+--secondary-color-4:    hsl(192, 8.5%, 60%);
+
+--theme-nuance-color-1: hsl(23.1, 100%, 60.2%);
+--theme-nuance-color-2: hsl(23.1, 100%, 60.2%);
+--theme-nuance-color-3: hsl(23.1, 100%, 60.2%);
+--theme-nuance-color-4: hsl(23.1, 100%, 60.2%);
+
+
+
+/* ---------- PRIMARY COLORS ----------------- */
+--primary-color-1: hsl(192, 8.5%, 11.6%);
+    --primary-color-1-saturation: 8.5%;
+    --primary-color-1-lightness: 11.6%;
+
+--primary-color-2: hsl(192, 8.5%, 21%);
+    --primary-color-2-saturation: 8.5%;
+    --primary-color-2-lightness: 21%;
+
+--primary-color-3: hsl(192, 8.5%, 30%);
+    --primary-color-3-saturation: 8.5%;
+    --primary-color-3-lightness: 30%;
+
+--primary-color-4: hsl(192, 8.5%, 40%);
+    --primary-color-4-saturation: 8.5%;
+    --primary-color-4-lightness: 40%;
+
+
+
+/* ---------- SECONDARY COLORS --------------- */
+--secondary-color-1: hsl(192, 8.5%, 80%);
+    --secondary-color-1-saturation: 8.5%;
+    --secondary-color-1-lightness: 80%;
+
+--secondary-color-2: hsl(192, 8.5%, 73%);
+    --secondary-color-2-saturation: 8.5%;
+    --secondary-color-2-lightness: 73%;
+
+--secondary-color-3: hsl(192, 8.5%, 66%);
+    --secondary-color-3-saturation: 8.5%;
+    --secondary-color-3-lightness: 66%;
+
+--secondary-color-4: hsl(192, 8.5%, 60%);
+    --secondary-color-4-saturation: 8.5%;
+    --secondary-color-4-lightness: 60%;
+
+
+
+/* ----------- NUANCES COLORS ---------------- */
+--theme-nuance-color-1: hsl(23.1, 100%, 60.2%);
+    --theme-nuance-color-1-saturation: 100%;
+    --theme-nuance-color-1-lightness: 60.2%;
+
+--theme-nuance-color-2: hsl(23.1, 100%, 60.2%);
+    --theme-nuance-color-2-saturation: 100%;
+    --theme-nuance-color-2-lightness: 60.2%;
+
+--theme-nuance-color-3: hsl(23.1, 100%, 60.2%);
+    --theme-nuance-color-3-saturation: 100%;
+    --theme-nuance-color-3-lightness: 60.2%;
+
+--theme-nuance-color-4: hsl(23.1, 100%, 60.2%);
+    --theme-nuance-color-4-saturation: 100%;
+    --theme-nuance-color-4-lightness: 60.2%;
+
+
+
+/* ----------- ROYGP COLORS ------------------ */
+    --theme-red-color:     hsl(325, 60%, 50%);
+    --theme-orange-color:  #e76f51;
+    --theme-yellow-color:  #ffd95f;
+    --theme-green-color:   #A3BE8C;
+    --theme-blue-color:    hsl(192, 95%, 40%);
+    --theme-purple-color:  hsl(192, 80%, 35%);
+
+
+
+/* ------------------------------------------- */
+--background-color-1:    var(--primary-color-1);
+--background-color-2:    var(--primary-color-2);
+--background-color-3:    var(--primary-color-3);
+--background-color-4:    var(--primary-color-4);
+
+--border-color-1:        var(--primary-color-2);
+--border-color-2:        var(--primary-color-3);
+--border-color-3:        var(--primary-color-4);
+
+--border-focus-color:    var(--theme-nuance-color-2);
+--border-focus-shadow:   var(--theme-nuance-color-1);
+
+--text-color-plain:      var(--secondary-color-1);
+--text-color-subtile-1:  var(--secondary-color-2);
+--text-color-subtile-2:  var(--secondary-color-3);
+
+--code-background-color: var(--secondary-color-2);
+--code-text-color:       var(--primary-color-2);
+
+--ui-range-thumb-color:  var(--theme-nuance-color-3);
+--ui-range-thumb-border: var(--ui-ranger-thumb-color);
+
+--textarea-border-color: var(--secondary-color-4);
+
+--chat-id-color:         var(--theme-nuance-color-4);
+
+
+
+/* ------------------------------------------- */
+--button-alert-text-hover:       var(--secondary-color-1);
+--button-alert-color-hover:      var(--theme-purple-color);
+--button-alert-border-hover:     var(--theme-purple-color);
+
+--button-alert-text-active:      var(--secondary-color-1);
+--button-alert-color-active:     var(--theme-blue-color);
+--button-alert-border-active:    var(--theme-blue-color);
+
+
+
+/* ----------- PRIMARY BUTTONS --------------- */
+/* - button should immediately catch the eye - */
+--button-primary-text: var(--primary-color-1);
+--button-primary-color:  var(--theme-nuance-color-3);
+--button-primary-border: var(--theme-nuance-color-3);
+
+
+/* ---------hover---------- */
+--button-primary-text-hover:
+    hsl(192,
+    calc(var(--primary-color-1-saturation) - 100%),
+    calc(var(--primary-color-1-lightness)  + 100%));
+
+--button-primary-color-hover:
+    hsl(23.1,
+    calc(var(--theme-nuance-color-3-saturation) - 2%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+--button-primary-border-hover:
+    hsl(23.1,
+    calc(var(--theme-nuance-color-3-saturation) - 2%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+
+/* ---------active--------- */
+--button-primary-text-active:
+    hsl(23.1,
+    calc(var(--theme-nuance-color-3-saturation) - 100%),
+    calc(var(--theme-nuance-color-3-lightness)  + 100%));
+
+--button-primary-color-active:
+    hsl(23.1,
+    calc(var(--theme-nuance-color-3-saturation) - 10%),
+    calc(var(--theme-nuance-color-3-lightness)  - 15%));
+
+--button-primary-border-active:
+    hsl(23.1,
+    calc(var(--theme-nuance-color-3-saturation) - 2%),
+    calc(var(--theme-nuance-color-3-lightness)  + 10%));
+
+
+
+/* ---------- SECONDARY BUTTONS -------------- */
+/* these should NOT immediately catch the eye  */
+--button-secondary-text:   var(--secondary-color-1);
+--button-secondary-color:  var(--primary-color-3);
+--button-secondary-border: var(--primary-color-3);
+
+
+/* ---------hover---------- */
+--button-secondary-text-hover:
+    hsl(23.1,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  - 80%));
+
+--button-secondary-color-hover:  var(--primary-color-4);
+--button-secondary-border-hover: var(--primary-color-4);
+
+
+/* ---------active--------- */
+--button-secondary-text-active: var(--secondary-color-1);
+
+--button-secondary-color-active:
+    hsl(192,
+    calc(var(--primary-color-4-saturation) - 30%),
+    calc(var(--primary-color-4-lightness)  - 15%));
+
+--button-secondary-border-active:
+    hsl(192,
+    calc(var(--primary-color-4-saturation) - 30%),
+    calc(var(--primary-color-4-lightness)  - 15%));
+
+
+
+/* ---------- TERTIARY BUTTONS --------------- */
+/* ---------- disabled buttons --------------- */
+--button-tertiary-text:   var(--primary-color-4);
+--button-tertiary-color:  var(--primary-color-2);
+--button-tertiary-border: var(--primary-color-2);
+
+
+/* ---------hover---------- */
+--button-tertiary-text:   var(--primary-color-4);
+--button-tertiary-color:  var(--primary-color-2);
+--button-tertiary-border: var(--primary-color-2);
+
+}
diff --git a/examples/server/public/theme-playground.css b/examples/server/public/theme-playground.css
new file mode 100755
index 000000000..9d56a7182
--- /dev/null
+++ b/examples/server/public/theme-playground.css
@@ -0,0 +1,221 @@
+/* Author: Yazan Agha-Schrader */
+/* Inspiration from OpenAI's Playground platform https://platform.openai.com/playground/ */
+
+.theme-playground {
+
+/* ---------- PRIMARY COLORS ----------------- */
+--primary-color-1: hsl(0, 0%,    99.2%);
+    --primary-color-1-hue:         0;
+    --primary-color-1-saturation:  0%;
+    --primary-color-1-lightness:   99.2%;
+
+--primary-color-2: hsl(0, 0%,    95%);
+    --primary-color-2-hue:         0;
+    --primary-color-2-saturation:  0%;
+    --primary-color-2-lightness:   95%;
+
+--primary-color-3: hsl(0, 0%,    88%);
+    --primary-color-3-hue:         0;
+    --primary-color-3-saturation:  0%;
+    --primary-color-3-lightness:   88%;
+
+--primary-color-4: hsl(0, 0%,    80%);
+    --primary-color-4-hue:         0;
+    --primary-color-4-saturation:  0%;
+    --primary-color-4-lightness:   80%;
+
+
+
+/* ---------- SECONDARY COLORS --------------- */
+--secondary-color-1: hsl(0, 0%,    20%);
+    --secondary-color-1-hue:         0;
+    --secondary-color-1-saturation:  0%;
+    --secondary-color-1-lightness:   20%;
+
+--secondary-color-2: hsl(0, 0%,    23.1%);
+    --secondary-color-2-hue:         0;
+    --secondary-color-2-saturation:  0%;
+    --secondary-color-2-lightness:   23.1%;
+
+--secondary-color-3: hsl(0, 0%,    29%);
+    --secondary-color-3-hue:         0;
+    --secondary-color-3-saturation:  0%;
+    --secondary-color-3-lightness:   29%;
+
+--secondary-color-4: hsl(0, 0%,    36.1%);
+    --secondary-color-4-hue:         0;
+    --secondary-color-4-saturation:  0%;
+    --secondary-color-4-lightness:   36.1%;
+
+
+
+/* ----------- NUANCES COLORS ---------------- */
+--theme-nuance-color-1: hsl(165.2, 82.1%, 35.1%);
+    --theme-nuance-color-1-hue:             165.2;
+    --theme-nuance-color-1-saturation:      82.1%;
+    --theme-nuance-color-1-lightness:       35.1%;
+
+--theme-nuance-color-2: hsl(165.2, 82.1%, 35.1%);
+    --theme-nuance-color-2-hue:             165.2;
+    --theme-nuance-color-2-saturation:      82.1%;
+    --theme-nuance-color-2-lightness:       35.1%;
+
+--theme-nuance-color-3: hsl(165.2, 81.1%, 35.3%);
+    --theme-nuance-color-3-hue:             165.2;
+    --theme-nuance-color-3-saturation:      81.1%;
+    --theme-nuance-color-3-lightness:       35.3%;
+
+--theme-nuance-color-4: hsl(164.9, 81.6%, 27.6%);
+    --theme-nuance-color-4-hue:             164.9;
+    --theme-nuance-color-4-saturation:      81.6%;
+    --theme-nuance-color-4-lightness:       27.6%;
+
+
+
+/* ----------- ROYGP COLORS ------------------ */
+--theme-red-color:     hsl(0.3, 80%, 50%);
+--theme-orange-color:  #e76f51;
+--theme-yellow-color:  hsl(60, 70.6%, 73.3%);
+--theme-green-color:   #A3BE8C;
+--theme-purple-color:  hsl(0.3, 70%, 45%);
+
+
+
+/* ------------------------------------------- */
+--background-color-1:    var(--primary-color-1);
+--background-color-2:    var(--primary-color-2);
+--background-color-3:    var(--primary-color-3);
+--background-color-4:    var(--primary-color-4);
+
+--border-color-1:        var(--primary-color-2);
+--border-color-2:        var(--primary-color-3);
+--border-color-3:        var(--primary-color-4);
+
+--border-focus-color:    var(--theme-nuance-color-2);
+--border-focus-shadow:   var(--theme-nuance-color-1);
+
+--text-color-plain:      var(--secondary-color-1);
+--text-color-subtile-1:  var(--secondary-color-2);
+--text-color-subtile-2:  var(--secondary-color-3);
+
+--code-background-color: var(--secondary-color-2);
+--code-text-color:       var(--primary-color-2);
+
+--ui-range-thumb-color:  var(--primary-color-4);
+--ui-range-thumb-border: var(--ui-ranger-thumb-color);
+
+--textarea-border-color: var(--secondary-color-4);
+
+--chat-id-color:        var(--theme-nuance-color-4);
+
+
+
+/* ------------------------------------------- */
+--button-alert-text-hover:       var(--primary-color-1);
+--button-alert-color-hover:      var(--theme-purple-color);
+--button-alert-border-hover:     var(--theme-purple-color);
+
+--button-alert-text-active:      var(--primary-color-1);
+--button-alert-color-active:     var(--theme-red-color);
+--button-alert-border-active:    var(--theme-red-color);
+
+
+
+/* ----------- PRIMARY BUTTONS --------------- */
+/* - button should immediately catch the eye - */
+--button-primary-text:
+    hsl(0,
+    calc(var(--primary-color-1-saturation) - 100%),
+    calc(var(--primary-color-1-lightness)  + 100%));
+
+--button-primary-color:  var(--theme-nuance-color-3);
+--button-primary-border: var(--theme-nuance-color-3);
+
+
+/* ---------hover---------- */
+--button-primary-text-hover:
+    hsl(0,
+    calc(var(--primary-color-1-saturation) - 100%),
+    calc(var(--primary-color-1-lightness)  + 100%));
+
+--button-primary-color-hover:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 2%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+--button-primary-border-hover:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 2%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+
+/* ---------active--------- */
+--button-primary-text-active:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 100%),
+    calc(var(--theme-nuance-color-3-lightness)  + 100%));
+
+--button-primary-color-active:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 10%),
+    calc(var(--theme-nuance-color-3-lightness)  - 15%));
+
+--button-primary-border-active:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 2%),
+    calc(var(--theme-nuance-color-3-lightness)  + 10%));
+
+
+
+/* ---------- SECONDARY BUTTONS -------------- */
+/* these should NOT immediately catch the eye  */
+--button-secondary-text:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  - 50%));
+
+--button-secondary-color:  var(--primary-color-3);
+--button-secondary-border: var(--primary-color-3);
+
+
+/* ---------hover---------- */
+--button-secondary-text-hover:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  - 80%));
+
+--button-secondary-color-hover:  var(--primary-color-4);
+--button-secondary-border-hover: var(--primary-color-4);
+
+
+/* ---------active--------- */
+--button-secondary-text-active:
+    hsl(165.2,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  - 80%));
+
+--button-secondary-color-active:
+    hsl(0,
+    calc(var(--primary-color-4-saturation) - 30%),
+    calc(var(--primary-color-4-lightness)  - 15%));
+
+--button-secondary-border-active:
+    hsl(0,
+    calc(var(--primary-color-4-saturation) - 30%),
+    calc(var(--primary-color-4-lightness)  - 15%));
+
+
+
+/* ---------- TERTIARY BUTTONS --------------- */
+/* ---------- disabled buttons --------------- */
+--button-tertiary-text:   var(--primary-color-4);
+--button-tertiary-color:  var(--primary-color-2);
+--button-tertiary-border: var(--primary-color-2);
+
+
+/* ---------hover---------- */
+--button-tertiary-text:   var(--primary-color-4);
+--button-tertiary-color:  var(--primary-color-2);
+--button-tertiary-border: var(--primary-color-2);
+
+}
diff --git a/examples/server/public/theme-polarnight.css b/examples/server/public/theme-polarnight.css
new file mode 100755
index 000000000..2bcfb33d8
--- /dev/null
+++ b/examples/server/public/theme-polarnight.css
@@ -0,0 +1,253 @@
+/* Author: Yazan Agha-Schrader */
+/* Inspiration from Nord Theme https://www.nordtheme.com/docs/colors-and-palettes */
+
+.theme-polarnight {
+
+/* ---------- PRIMARY COLORS ----------------- */
+--primary-color-1: hsl(220.0, 16.4%, 21.6%) ;
+    --primary-color-1-hue:             220.0;
+    --primary-color-1-saturation:      16.4%;
+    --primary-color-1-lightness:       21.6%;
+
+--primary-color-2: hsl(221.7, 16.3%, 27.6%) ;
+    -primary-color-2-hue:              221.7;
+    --primary-color-2-saturation:      16.3%;
+    --primary-color-2-lightness:       27.6%;
+
+--primary-color-3: hsl(220.0, 16.8%, 31.6%) ;
+    --primary-color-3-hue:             220.0;
+    --primary-color-3-saturation:      16.8%;
+    --primary-color-3-lightness:       31.6%;
+
+--primary-color-4: hsl(220.0, 16.5%, 35.7%);
+    --primary-color-4-hue:             220.0;
+    --primary-color-4-saturation:      16.5%;
+    --primary-color-4-lightness:       35.7%;
+
+
+
+/* ---------- SECONDARY COLORS --------------- */
+--secondary-color-1: hsl(217.5, 26.7%, 94.1%);
+    --secondary-color-1-hue:             217.5;
+    --secondary-color-1-saturation:      26.7%;
+    --secondary-color-1-lightness:       94.1%;
+
+--secondary-color-2: hsl(218.2, 26.8%, 92.0%);
+    --secondary-color-2-hue:             218.2;
+    --secondary-color-2-saturation:      26.8%;
+    --secondary-color-2-lightness:       92.0%;
+
+--secondary-color-3: hsl(218.8, 27.9%, 88.0%);
+    --secondary-color-3-hue:             218.8;
+    --secondary-color-3-saturation:      27.9%;
+    --secondary-color-3-lightness:       88.0%;
+
+--secondary-color-4: hsl(218.8, 18.3%, 81.8%);
+    --secondary-color-4-hue:             218.8;
+    --secondary-color-4-saturation:      18.3%;
+    --secondary-color-4-lightness:       81.8%;
+
+
+
+/* ----------- NUANCES COLORS ---------------- */
+--theme-nuance-color-1: hsl(178.7, 25.1%, 64.9%);
+    --theme-nuance-color-1-hue:             178.7;
+    --theme-nuance-color-1-saturation:      25.1%;
+    --theme-nuance-color-1-lightness:       64.9%;
+
+--theme-nuance-color-2: hsl(193.3, 43.4%, 67.5%);
+    --theme-nuance-color-2-hue:             193.3;
+    --theme-nuance-color-2-saturation:      43.4%;
+    --theme-nuance-color-2-lightness:       67.5%;
+
+--theme-nuance-color-3: hsl(210.0, 34.0%, 63.1%);
+    --theme-nuance-color-3-hue:             210.0;
+    --theme-nuance-color-3-saturation:      34.0%;
+    --theme-nuance-color-3-lightness:       63.1%;
+
+--theme-nuance-color-4: hsl(213.1, 32.0%, 52.2%);
+    --theme-nuance-color-4-hue:             213.1;
+    --theme-nuance-color-4-saturation:      32.0%;
+    --theme-nuance-color-4-lightness:       52.2%;
+
+
+
+/* ----------- ROYGP COLORS ------------------ */
+--theme-red-color:    hsl(354.3, 42.3%, 56.5%);
+--theme-orange-color: hsl(20, 85%, 50%);
+--theme-yellow-color: hsl(20, 75%, 45%);
+--theme-green-color:  hsl( 92.4, 27.8%, 64.7%);
+--theme-purple-color: hsl(311.1, 20.2%, 63.1%);
+
+
+
+/* ------------------------------------------------ */
+--background-color-1:    var(--primary-color-1);
+--background-color-2:    var(--primary-color-2);
+--background-color-3:    var(--primary-color-3);
+--background-color-4:    var(--primary-color-4);
+
+--border-color-1:        var(--primary-color-2);
+--border-color-2:        var(--primary-color-3);
+--border-color-3:        var(--primary-color-4);
+
+--border-focus-color:    var(--theme-nuance-color-2);
+--border-focus-shadow:   var(--theme-nuance-color-1);
+
+--text-color-plain:      var(--secondary-color-1);
+--text-color-subtile-1:  var(--secondary-color-2);
+--text-color-subtile-2:  var(--secondary-color-3);
+
+--code-background-color: var(--secondary-color-2);
+--code-text-color:       var(--primary-color-2);
+
+--ui-range-thumb-color:  var(--theme-nuance-color-3);
+--ui-range-thumb-border: var(--ui-ranger-thumb-color);
+
+--textarea-border-color: var(--secondary-color-4);
+
+--chat-id-color:        var(--theme-nuance-color-4);
+
+
+
+/* ------------------------------------------- */
+--button-alert-text-hover:       var(--secondary-color-1);
+--button-alert-color-hover:      var(--theme-yellow-color);
+--button-alert-border-hover:     var(--theme-yellow-color);
+
+--button-alert-text-active:      var(--secondary-color-1);
+--button-alert-color-active:     var(--theme-orange-color);
+--button-alert-border-active:    var(--theme-orange-color);
+
+
+
+/* ----------- PRIMARY BUTTONS --------------- */
+/* - button should immediately catch the eye - */
+--button-primary-text:   var(--secondary-color-1);
+--button-primary-color:  var(--theme-nuance-color-3);
+--button-primary-border: var(--theme-nuance-color-3);
+
+
+/* ---------hover---------- */
+--button-primary-text-hover:
+    hsl(217.5,
+    calc(var(--secondary-color-1-saturation) - 35%),
+    calc(var(--secondary-color-1-lightness)  + 30%));
+
+--button-primary-color-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) -  2%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+--button-primary-border-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) -  2%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+
+/* ---------active--------- */
+--button-primary-text-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  + 35%));
+
+--button-primary-color-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 10%),
+    calc(var(--theme-nuance-color-3-lightness)  - 25%));
+
+--button-primary-border-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 10%),
+    calc(var(--theme-nuance-color-3-lightness)  - 25%));
+
+
+
+/* ---------- SECONDARY BUTTONS -------------- */
+/* these should NOT immediately catch the eye  */
+--button-secondary-text:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  - 50%));
+
+--button-secondary-color:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  + 10%));
+
+--button-secondary-border:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  + 10%));
+
+
+/* ---------hover---------- */
+--button-secondary-text-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  - 80%));
+
+--button-secondary-color-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 22%),
+    calc(var(--theme-nuance-color-3-lightness)  +  1%));
+
+--button-secondary-border-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 22%),
+    calc(var(--theme-nuance-color-3-lightness)  +  1%));
+
+
+/* ---------active--------- */
+--button-secondary-text-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  + 25%));
+
+--button-secondary-color-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 30%),
+    calc(var(--theme-nuance-color-3-lightness)  - 15%));
+
+--button-secondary-border-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 30%),
+    calc(var(--theme-nuance-color-3-lightness)  - 15%));
+
+
+
+/* ---------- TERTIARY BUTTONS --------------- */
+/* ---------- disabled buttons --------------- */
+--button-tertiary-text:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  -  5%));
+
+--button-tertiary-color:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  + 20%));
+
+--button-tertiary-border:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  + 20%));
+
+
+/* ---------hover---------- */
+--button-tertiary-text-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  -  5%));
+
+--button-tertiary-color-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  + 20%));
+
+--button-tertiary-border-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  + 20%));
+
+}
diff --git a/examples/server/public/theme-snowstorm.css b/examples/server/public/theme-snowstorm.css
new file mode 100755
index 000000000..7bb227594
--- /dev/null
+++ b/examples/server/public/theme-snowstorm.css
@@ -0,0 +1,251 @@
+/* Author: Yazan Agha-Schrader */
+/* Inspiration from Nord Theme https://www.nordtheme.com/docs/colors-and-palettes */
+
+.theme-snowstorm {
+
+/* ---------- PRIMARY COLORS ----------------- */
+--primary-color-1: hsl(217.5, 26.7%, 94.1%);
+    --primary-color-1-hue:             217.5;
+    --primary-color-1-saturation:      26.7%;
+    --primary-color-1-lightness:       94.1%;
+
+--primary-color-2: hsl(218.2, 26.8%, 92.0%);
+    --primary-color-2-hue:             218.2;
+    --primary-color-2-saturation:      26.8%;
+    --primary-color-2-lightness:       92.0%;
+
+--primary-color-3: hsl(218.8, 27.9%, 88.0%);
+    --primary-color-3-hue:             218.8;
+    --primary-color-3-saturation:      27.9%;
+    --primary-color-3-lightness:       88.0%;
+
+--primary-color-4: hsl(218.8, 18.3%, 81.8%);
+    --primary-color-4-hue:             218.8;
+    --primary-color-4-saturation:      18.3%;
+    --primary-color-4-lightness:       81.8%;
+
+
+/* ---------- SECONDARY COLORS --------------- */
+--secondary-color-1: hsl(220.0, 16.4%, 21.6%);
+    --secondary-color-1-hue:             220.0;
+    --secondary-color-1-saturation:      16.4%;
+    --secondary-color-1-lightness:       21.6%;
+
+--secondary-color-2: hsl(221.7, 16.3%, 27.6%);
+    --secondary-color-2-hue:             221.7;
+    --secondary-color-2-saturation:      16.3%;
+    --secondary-color-2-lightness:       27.6%;
+
+--secondary-color-3: hsl(220.0, 16.8%, 31.6%);
+    --secondary-color-3-hue:             220.0;
+    --secondary-color-3-saturation:      16.8%;
+    --secondary-color-3-lightness:       31.6%;
+
+--secondary-color-4: hsl(220.0, 16.5%, 35.7%);
+    --secondary-color-4-hue:             220.0;
+    --secondary-color-4-saturation:      16.5%;
+    --secondary-color-4-lightness:       35.7%;
+
+
+
+/* ----------- NUANCES COLORS ---------------- */
+--theme-nuance-color-1: hsl(178.7, 25.1%, 64.9%);
+    --theme-nuance-color-1-hue:             178.7;
+    --theme-nuance-color-1-saturation:      25.1%;
+    --theme-nuance-color-1-lightness:       64.9%;
+
+--theme-nuance-color-2: hsl(193.3, 43.4%, 67.5%);
+    --theme-nuance-color-2-hue:             193.3;
+    --theme-nuance-color-2-saturation:      43.4%;
+    --theme-nuance-color-2-lightness:       67.5%;
+
+--theme-nuance-color-3: hsl(210.0, 34.0%, 63.1%);
+    --theme-nuance-color-3-hue:             210.0;
+    --theme-nuance-color-3-saturation:      34.0%;
+    --theme-nuance-color-3-lightness:       63.1%;
+
+--theme-nuance-color-4: hsl(213.1, 32.0%, 52.2%);
+    --theme-nuance-color-4-hue:             213.1;
+    --theme-nuance-color-4-saturation:      32.0%;
+    --theme-nuance-color-4-lightness:       52.2%;
+
+
+
+/* ----------- ROYGP COLORS ------------------ */
+--theme-red-color:    hsl(32.5, 80%, 50%);
+--theme-orange-color: hsl(32.5, 70%, 45%);
+--theme-yellow-color: hsl(40.0,   0.6%, 73.3%);
+--theme-green-color:  hsl(92.4,  27.8%, 64.7%);
+--theme-purple-color: hsl(311.1, 20.2%, 63.1%);
+
+
+
+/* ------------------------------------------- */
+--background-color-1:    var(--primary-color-1);
+--background-color-2:    var(--primary-color-2);
+--background-color-3:    var(--primary-color-3);
+--background-color-4:    var(--primary-color-4);
+
+--border-color-1:        var(--primary-color-2);
+--border-color-2:        var(--primary-color-3);
+--border-color-3:        var(--primary-color-4);
+
+--border-focus-color:    var(--theme-nuance-color-2);
+--border-focus-shadow:   var(--theme-nuance-color-1);
+
+--text-color-plain:      var(--secondary-color-1);
+--text-color-subtile-1:  var(--secondary-color-2);
+--text-color-subtile-2:  var(--secondary-color-3);
+
+--code-background-color: var(--secondary-color-2);
+--code-text-color:       var(--primary-color-2);
+
+--ui-range-thumb-color:  var(--theme-nuance-color-3);
+--ui-range-thumb-border: var(--ui-ranger-thumb-color);
+
+--textarea-border-color: var(--secondary-color-4);
+
+--chat-id-color:         var(--theme-nuance-color-4);
+
+
+
+/* ------------------------------------------- */
+--button-alert-text-hover:       var(--primary-color-1);
+--button-alert-color-hover:      var(--theme-orange-color);
+--button-alert-border-hover:     var(--theme-orange-color);
+
+--button-alert-text-active:      var(--primary-color-1);
+--button-alert-color-active:     var(--theme-red-color);
+--button-alert-border-active:    var(--theme-red-color);
+
+
+
+/* ----------- PRIMARY BUTTONS --------------- */
+/* - button should immediately catch the eye - */
+--button-primary-text:   var(--secondary-color-1);
+--button-primary-color:  var(--theme-nuance-color-3);
+--button-primary-border: var(--theme-nuance-color-3);
+
+
+/* ---------hover---------- */
+--button-primary-text-hover:
+    hsl(217.5,
+    calc(var(--secondary-color-1-saturation) + 35%),
+    calc(var(--secondary-color-1-lightness)  - 30%));
+
+--button-primary-color-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) -  2%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+--button-primary-border-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) -  2%),
+    calc(var(--theme-nuance-color-3-lightness)  - 10%));
+
+
+/* ---------active--------- */
+--button-primary-text-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  + 35%));
+
+--button-primary-color-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 10%),
+    calc(var(--theme-nuance-color-3-lightness)  - 25%));
+
+--button-primary-border-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 10%),
+    calc(var(--theme-nuance-color-3-lightness)  - 25%));
+
+
+
+/* ---------- SECONDARY BUTTONS -------------- */
+/* these should NOT immediately catch the eye  */
+--button-secondary-text:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  - 50%));
+
+--button-secondary-color:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  + 10%));
+
+--button-secondary-border:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  + 10%));
+
+
+/* ---------hover---------- */
+--button-secondary-text-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 20%),
+    calc(var(--theme-nuance-color-3-lightness)  - 80%));
+
+--button-secondary-color-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 22%),
+    calc(var(--theme-nuance-color-3-lightness)  +  1%));
+
+--button-secondary-border-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 22%),
+    calc(var(--theme-nuance-color-3-lightness)  +  1%));
+
+
+/* ---------active--------- */
+--button-secondary-text-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) + 40%),
+    calc(var(--theme-nuance-color-3-lightness)  - 55%));
+
+--button-secondary-color-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 30%),
+    calc(var(--theme-nuance-color-3-lightness)  -  5%));
+
+--button-secondary-border-active:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 30%),
+    calc(var(--theme-nuance-color-3-lightness)  -  5%));
+
+
+
+/* ---------- TERTIARY BUTTONS --------------- */
+/* ---------- disabled buttons --------------- */
+--button-tertiary-text:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  -  5%));
+
+--button-tertiary-color:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  + 20%));
+
+--button-tertiary-border:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  + 20%));
+
+/* ---------hover---------- */
+--button-tertiary-text-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  -  5%));
+
+--button-tertiary-color-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  + 20%));
+
+--button-tertiary-border-hover:
+    hsl(210,
+    calc(var(--theme-nuance-color-3-saturation) - 40%),
+    calc(var(--theme-nuance-color-3-lightness)  + 20%));
+
+}
diff --git a/examples/server/public_simplechat/datautils.mjs b/examples/server/public_simplechat/datautils.mjs
new file mode 100644
index 000000000..75159d6b1
--- /dev/null
+++ b/examples/server/public_simplechat/datautils.mjs
@@ -0,0 +1,266 @@
+//@ts-check
+// Helpers to work with different data types
+// by Humans for All
+//
+
+/**
+ * Given the limited context size of local LLMs and , many a times when context gets filled
+ * between the prompt and the response, it can lead to repeating text garbage generation.
+ * And many a times setting penalty wrt repeatation leads to over-intelligent garbage
+ * repeatation with slight variations. These garbage inturn can lead to overloading of the
+ * available model context, leading to less valuable response for subsequent prompts/queries,
+ * if chat history is sent to ai model.
+ *
+ * So two simple minded garbage trimming logics are experimented below.
+ * * one based on progressively-larger-substring-based-repeat-matching-with-partial-skip and
+ * * another based on char-histogram-driven garbage trimming.
+ *   * in future characteristic of histogram over varying lengths could be used to allow for
+ *     a more aggressive and adaptive trimming logic.
+ */
+
+
+/**
+ * Simple minded logic to help remove repeating garbage at end of the string.
+ * The repeatation needs to be perfectly matching.
+ *
+ * The logic progressively goes on probing for longer and longer substring based
+ * repeatation, till there is no longer repeatation. Inturn picks the one with
+ * the longest chain.
+ *
+ * @param {string} sIn
+ * @param {number} maxSubL
+ * @param {number} maxMatchLenThreshold
+ */
+export function trim_repeat_garbage_at_end(sIn, maxSubL=10, maxMatchLenThreshold=40) {
+    let rCnt = [0];
+    let maxMatchLen = maxSubL;
+    let iMML = -1;
+    for(let subL=1; subL < maxSubL; subL++) {
+        rCnt.push(0);
+        let i;
+        let refS = sIn.substring(sIn.length-subL, sIn.length);
+        for(i=sIn.length; i > 0; i -= subL) {
+            let curS = sIn.substring(i-subL, i);
+            if (refS != curS) {
+                let curMatchLen = rCnt[subL]*subL;
+                if (maxMatchLen < curMatchLen) {
+                    maxMatchLen = curMatchLen;
+                    iMML = subL;
+                }
+                break;
+            }
+            rCnt[subL] += 1;
+        }
+    }
+    console.debug("DBUG:DU:TrimRepeatGarbage:", rCnt);
+    if ((iMML == -1) || (maxMatchLen < maxMatchLenThreshold)) {
+        return {trimmed: false, data: sIn};
+    }
+    console.debug("DBUG:TrimRepeatGarbage:TrimmedCharLen:", maxMatchLen);
+    let iEnd = sIn.length - maxMatchLen;
+    return { trimmed: true, data: sIn.substring(0, iEnd) };
+}
+
+
+/**
+ * Simple minded logic to help remove repeating garbage at end of the string, till it cant.
+ * If its not able to trim, then it will try to skip a char at end and then trim, a few times.
+ * This ensures that even if there are multiple runs of garbage with different patterns, the
+ * logic still tries to munch through them.
+ *
+ * @param {string} sIn
+ * @param {number} maxSubL
+ * @param {number | undefined} [maxMatchLenThreshold]
+ */
+export function trim_repeat_garbage_at_end_loop(sIn, maxSubL, maxMatchLenThreshold, skipMax=16) {
+    let sCur = sIn;
+    let sSaved = "";
+    let iTry = 0;
+    while(true) {
+        let got = trim_repeat_garbage_at_end(sCur, maxSubL, maxMatchLenThreshold);
+        if (got.trimmed != true) {
+            if (iTry == 0) {
+                sSaved = got.data;
+            }
+            iTry += 1;
+            if (iTry >= skipMax) {
+                return sSaved;
+            }
+            got.data = got.data.substring(0,got.data.length-1);
+        } else {
+            iTry = 0;
+        }
+        sCur = got.data;
+    }
+}
+
+
+/**
+ * A simple minded try trim garbage at end using histogram driven characteristics.
+ * There can be variation in the repeatations, as long as no new char props up.
+ *
+ * This tracks the chars and their frequency in a specified length of substring at the end
+ * and inturn checks if moving further into the generated text from the end remains within
+ * the same char subset or goes beyond it and based on that either trims the string at the
+ * end or not. This allows to filter garbage at the end, including even if there are certain
+ * kind of small variations in the repeated text wrt position of seen chars.
+ *
+ * Allow the garbage to contain upto maxUniq chars, but at the same time ensure that
+ * a given type of char ie numerals or alphabets or other types dont cross the specified
+ * maxType limit. This allows intermixed text garbage to be identified and trimmed.
+ *
+ * ALERT: This is not perfect and only provides a rough garbage identification logic.
+ * Also it currently only differentiates between character classes wrt english.
+ *
+ * @param {string} sIn
+ * @param {number} maxType
+ * @param {number} maxUniq
+ * @param {number} maxMatchLenThreshold
+ */
+export function trim_hist_garbage_at_end(sIn, maxType, maxUniq, maxMatchLenThreshold) {
+    if (sIn.length < maxMatchLenThreshold) {
+        return { trimmed: false, data: sIn };
+    }
+    let iAlp = 0;
+    let iNum = 0;
+    let iOth = 0;
+    // Learn
+    let hist = {};
+    let iUniq = 0;
+    for(let i=0; i<maxMatchLenThreshold; i++) {
+        let c = sIn[sIn.length-1-i];
+        if (c in hist) {
+            hist[c] += 1;
+        } else {
+            if(c.match(/[0-9]/) != null) {
+                iNum += 1;
+            } else if(c.match(/[A-Za-z]/) != null) {
+                iAlp += 1;
+            } else {
+                iOth += 1;
+            }
+            iUniq += 1;
+            if (iUniq >= maxUniq) {
+                break;
+            }
+            hist[c] = 1;
+        }
+    }
+    console.debug("DBUG:TrimHistGarbage:", hist);
+    if ((iAlp > maxType) || (iNum > maxType) || (iOth > maxType)) {
+        return { trimmed: false, data: sIn };
+    }
+    // Catch and Trim
+    for(let i=0; i < sIn.length; i++) {
+        let c = sIn[sIn.length-1-i];
+        if (!(c in hist)) {
+            if (i < maxMatchLenThreshold) {
+                return { trimmed: false, data: sIn };
+            }
+            console.debug("DBUG:TrimHistGarbage:TrimmedCharLen:", i);
+            return { trimmed: true, data: sIn.substring(0, sIn.length-i+1) };
+        }
+    }
+    console.debug("DBUG:TrimHistGarbage:Trimmed fully");
+    return { trimmed: true, data: "" };
+}
+
+/**
+ * Keep trimming repeatedly using hist_garbage logic, till you no longer can.
+ * This ensures that even if there are multiple runs of garbage with different patterns,
+ * the logic still tries to munch through them.
+ *
+ * @param {any} sIn
+ * @param {number} maxType
+ * @param {number} maxUniq
+ * @param {number} maxMatchLenThreshold
+ */
+export function trim_hist_garbage_at_end_loop(sIn, maxType, maxUniq, maxMatchLenThreshold) {
+    let sCur = sIn;
+    while (true) {
+        let got = trim_hist_garbage_at_end(sCur, maxType, maxUniq, maxMatchLenThreshold);
+        if (!got.trimmed) {
+            return got.data;
+        }
+        sCur = got.data;
+    }
+}
+
+/**
+ * Try trim garbage at the end by using both the hist-driven-garbage-trimming as well as
+ * skip-a-bit-if-reqd-then-repeat-pattern-based-garbage-trimming, with blind retrying.
+ * @param {string} sIn
+ */
+export function trim_garbage_at_end(sIn) {
+    let sCur = sIn;
+    for(let i=0; i<2; i++) {
+        sCur = trim_hist_garbage_at_end_loop(sCur, 8, 24, 72);
+        sCur = trim_repeat_garbage_at_end_loop(sCur, 32, 72, 12);
+    }
+    return sCur;
+}
+
+
+/**
+ * NewLines array helper.
+ * Allow for maintaining a list of lines.
+ * Allow for a line to be builtup/appended part by part.
+ */
+export class NewLines {
+
+    constructor() {
+        /** @type {string[]} */
+        this.lines = [];
+    }
+
+    /**
+     * Extracts lines from the passed string and inturn either
+     * append to a previous partial line or add a new line.
+     * @param {string} sLines
+     */
+    add_append(sLines) {
+        let aLines = sLines.split("\n");
+        let lCnt = 0;
+        for(let line of aLines) {
+            lCnt += 1;
+            // Add back newline removed if any during split
+            if (lCnt < aLines.length) {
+                line += "\n";
+            } else {
+                if (sLines.endsWith("\n")) {
+                    line += "\n";
+                }
+            }
+            // Append if required
+            if (lCnt == 1) {
+                let lastLine = this.lines[this.lines.length-1];
+                if (lastLine != undefined) {
+                    if (!lastLine.endsWith("\n")) {
+                        this.lines[this.lines.length-1] += line;
+                        continue;
+                    }
+                }
+            }
+            // Add new line
+            this.lines.push(line);
+        }
+    }
+
+    /**
+     * Shift the oldest/earliest/0th line in the array. [Old-New|Earliest-Latest]
+     * Optionally control whether only full lines (ie those with newline at end) will be returned
+     * or will a partial line without a newline at end (can only be the last line) be returned.
+     * @param {boolean} bFullWithNewLineOnly
+     */
+    shift(bFullWithNewLineOnly=true) {
+        let line = this.lines[0];
+        if (line == undefined) {
+            return undefined;
+        }
+        if ((line[line.length-1] != "\n") && bFullWithNewLineOnly){
+            return undefined;
+        }
+        return this.lines.shift();
+    }
+
+}
diff --git a/examples/server/public_simplechat/index.html b/examples/server/public_simplechat/index.html
new file mode 100644
index 000000000..f6413016f
--- /dev/null
+++ b/examples/server/public_simplechat/index.html
@@ -0,0 +1,51 @@
+<!DOCTYPE html>
+<html lang="en">
+    <head>
+        <title>SimpleChat LlamaCppEtal </title>
+        <meta charset="UTF-8" />
+        <meta name="viewport" content="width=device-width, initial-scale=1" />
+        <meta name="message" content="Save Nature Save Earth" />
+        <meta name="description" content="SimpleChat: trigger LLM web service endpoints /chat/completions and /completions, single/multi chat sessions" />
+        <meta name="author" content="by Humans for All" />
+        <meta http-equiv="Cache-Control" content="no-cache, no-store, must-revalidate" />
+        <script type="importmap">
+            {
+                "imports": {
+                    "datautils": "./datautils.mjs",
+                    "ui": "./ui.mjs"
+                }
+            }
+        </script>
+        <script src="simplechat.js" type="module" defer></script>
+        <link rel="stylesheet" href="simplechat.css" />
+    </head>
+    <body>
+        <div class="samecolumn" id="fullbody">
+
+            <div class="sameline" id="heading">
+                <p class="heading flex-grow" > <b> SimpleChat </b> </p>
+                <button id="settings">Settings</button>
+            </div>
+
+            <div id="sessions-div" class="sameline"></div>
+
+            <hr>
+            <div class="sameline">
+                <label for="system-in">System</label>
+                <textarea name="system" id="system-in" rows="2" placeholder="e.g. you are a helpful ai assistant, who provides concise answers" class="flex-grow"></textarea>
+            </div>
+
+            <hr>
+            <div id="chat-div">
+                <p> You need to have javascript enabled.</p>
+            </div>
+
+            <hr>
+            <div class="sameline">
+                <textarea id="user-in" class="flex-grow" rows="2" placeholder="enter your query to the ai model here" ></textarea>
+                <button id="user-btn">submit</button>
+            </div>
+
+        </div>
+    </body>
+</html>
diff --git a/examples/server/public_simplechat/readme.md b/examples/server/public_simplechat/readme.md
new file mode 100644
index 000000000..36a46885d
--- /dev/null
+++ b/examples/server/public_simplechat/readme.md
@@ -0,0 +1,271 @@
+
+# SimpleChat
+
+by Humans for All.
+
+
+## overview
+
+This simple web frontend, allows triggering/testing the server's /completions or /chat/completions endpoints
+in a simple way with minimal code from a common code base. Inturn additionally it tries to allow single or
+multiple independent back and forth chatting to an extent, with the ai llm model at a basic level, with their
+own system prompts.
+
+This allows seeing the generated text / ai-model response in oneshot at the end, after it is fully generated,
+or potentially as it is being generated, in a streamed manner from the server/ai-model.
+
+Auto saves the chat session locally as and when the chat is progressing and inturn at a later time when you
+open SimpleChat, option is provided to restore the old chat session, if a matching one exists.
+
+The UI follows a responsive web design so that the layout can adapt to available display space in a usable
+enough manner, in general.
+
+Allows developer/end-user to control some of the behaviour by updating gMe members from browser's devel-tool
+console. Parallely some of the directly useful to end-user settings can also be changed using the provided
+settings ui.
+
+NOTE: Current web service api doesnt expose the model context length directly, so client logic doesnt provide
+any adaptive culling of old messages nor of replacing them with summary of their content etal. However there
+is a optional sliding window based chat logic, which provides a simple minded culling of old messages from
+the chat history before sending to the ai model.
+
+NOTE: Wrt options sent with the request, it mainly sets temperature, max_tokens and optionaly stream for now.
+However if someone wants they can update the js file or equivalent member in gMe as needed.
+
+NOTE: One may be able to use this to chat with openai api web-service /chat/completions endpoint, in a very
+limited / minimal way. One will need to set model, openai url and authorization bearer key in settings ui.
+
+
+## usage
+
+One could run this web frontend directly using server itself or if anyone is thinking of adding a built in web
+frontend to configure the server over http(s) or so, then run this web frontend using something like python's
+http module.
+
+### running using examples/server
+
+bin/server -m path/model.gguf --path ../examples/server/public_simplechat [--port PORT]
+
+### running using python3's server module
+
+first run examples/server
+* bin/server -m path/model.gguf
+
+next run this web front end in examples/server/public_simplechat
+* cd ../examples/server/public_simplechat
+* python3 -m http.server PORT
+
+### using the front end
+
+Open this simple web front end from your local browser
+
+* http://127.0.0.1:PORT/index.html
+
+Once inside
+
+* If you want to, you can change many of the default global settings
+  * the base url (ie ip addr / domain name, port)
+  * chat (default) vs completion mode
+  * try trim garbage in response or not
+  * amount of chat history in the context sent to server/ai-model
+  * oneshot or streamed mode.
+
+* In completion mode
+  * one normally doesnt use a system prompt in completion mode.
+  * logic by default doesnt insert any role specific "ROLE: " prefix wrt each role's message.
+    If the model requires any prefix wrt user role messages, then the end user has to
+    explicitly add the needed prefix, when they enter their chat message.
+    Similarly if the model requires any prefix to trigger assistant/ai-model response,
+    then the end user needs to enter the same.
+    This keeps the logic simple, while still giving flexibility to the end user to
+    manage any templating/tagging requirement wrt their messages to the model.
+  * the logic doesnt insert newline at the begining and end wrt the prompt message generated.
+    However if the chat being sent to /completions end point has more than one role's message,
+    then insert newline when moving from one role's message to the next role's message, so
+    that it can be clearly identified/distinguished.
+  * given that /completions endpoint normally doesnt add additional chat-templating of its
+    own, the above ensures that end user can create a custom single/multi message combo with
+    any tags/special-tokens related chat templating to test out model handshake. Or enduser
+    can use it just for normal completion related/based query.
+
+* If you want to provide a system prompt, then ideally enter it first, before entering any user query.
+  Normally Completion mode doesnt need system prompt, while Chat mode can generate better/interesting
+  responses with a suitable system prompt.
+  * if chat.add_system_begin is used
+    * you cant change the system prompt, after it is has been submitted once along with user query.
+    * you cant set a system prompt, after you have submitted any user query
+  * if chat.add_system_anytime is used
+    * one can change the system prompt any time during chat, by changing the contents of system prompt.
+    * inturn the updated/changed system prompt will be inserted into the chat session.
+    * this allows for the subsequent user chatting to be driven by the new system prompt set above.
+
+* Enter your query and either press enter or click on the submit button.
+  If you want to insert enter (\n) as part of your chat/query to ai model, use shift+enter.
+
+* Wait for the logic to communicate with the server and get the response.
+  * the user is not allowed to enter any fresh query during this time.
+  * the user input box will be disabled and a working message will be shown in it.
+  * if trim garbage is enabled, the logic will try to trim repeating text kind of garbage to some extent.
+
+* just refresh the page, to reset wrt the chat history and or system prompt and start afresh.
+
+* Using NewChat one can start independent chat sessions.
+  * two independent chat sessions are setup by default.
+
+* When you want to print, switching ChatHistoryInCtxt to Full and clicking on the chat session button of
+  interest, will display the full chat history till then wrt same, if you want full history for printing.
+
+
+## Devel note
+
+### Reason behind this
+
+The idea is to be easy enough to use for basic purposes, while also being simple and easily discernable
+by developers who may not be from web frontend background (so inturn may not be familiar with template /
+end-use-specific-language-extensions driven flows) so that they can use it to explore/experiment things.
+
+And given that the idea is also to help explore/experiment for developers, some flexibility is provided
+to change behaviour easily using the devel-tools/console or provided minimal settings ui (wrt few aspects).
+Skeletal logic has been implemented to explore some of the end points and ideas/implications around them.
+
+
+### General
+
+Me/gMe consolidates the settings which control the behaviour into one object.
+One can see the current settings, as well as change/update them using browsers devel-tool/console.
+It is attached to the document object. Some of these can also be updated using the Settings UI.
+
+  baseURL - the domain-name/ip-address and inturn the port to send the request.
+
+  bStream - control between oneshot-at-end and live-stream-as-its-generated collating and showing
+  of the generated response.
+
+    the logic assumes that the text sent from the server follows utf-8 encoding.
+
+    in streaming mode - if there is any exception, the logic traps the same and tries to ensure
+    that text generated till then is not lost.
+
+      if a very long text is being generated, which leads to no user interaction for sometime and
+      inturn the machine goes into power saving mode or so, the platform may stop network connection,
+      leading to exception.
+
+  apiEP - select between /completions and /chat/completions endpoint provided by the server/ai-model.
+
+  bCompletionFreshChatAlways - whether Completion mode collates complete/sliding-window history when
+  communicating with the server or only sends the latest user query/message.
+
+  bCompletionInsertStandardRolePrefix - whether Completion mode inserts role related prefix wrt the
+  messages that get inserted into prompt field wrt /Completion endpoint.
+
+  bTrimGarbage - whether garbage repeatation at the end of the generated ai response, should be
+  trimmed or left as is. If enabled, it will be trimmed so that it wont be sent back as part of
+  subsequent chat history. At the same time the actual trimmed text is shown to the user, once
+  when it was generated, so user can check if any useful info/data was there in the response.
+
+    One may be able to request the ai-model to continue (wrt the last response) (if chat-history
+    is enabled as part of the chat-history-in-context setting), and chances are the ai-model will
+    continue starting from the trimmed part, thus allows long response to be recovered/continued
+    indirectly, in many cases.
+
+    The histogram/freq based trimming logic is currently tuned for english language wrt its
+    is-it-a-alpabetic|numeral-char regex match logic.
+
+  chatRequestOptions - maintains the list of options/fields to send along with chat request,
+  irrespective of whether /chat/completions or /completions endpoint.
+
+    If you want to add additional options/fields to send to the server/ai-model, and or
+    modify the existing options value or remove them, for now you can update this global var
+    using browser's development-tools/console.
+
+    For string and numeric fields in chatRequestOptions, including even those added by a user
+    at runtime by directly modifying gMe.chatRequestOptions, setting ui entries will be auto
+    created.
+
+  headers - maintains the list of http headers sent when request is made to the server. By default
+  Content-Type is set to application/json. Additionally Authorization entry is provided, which can
+  be set if needed using the settings ui.
+
+  iRecentUserMsgCnt - a simple minded SlidingWindow to limit context window load at Ai Model end.
+  This is disabled by default. However if enabled, then in addition to latest system message, only
+  the last/latest iRecentUserMsgCnt user messages after the latest system prompt and its responses
+  from the ai model will be sent to the ai-model, when querying for a new response. IE if enabled,
+  only user messages after the latest system message/prompt will be considered.
+
+    This specified sliding window user message count also includes the latest user query.
+    <0 : Send entire chat history to server
+     0 : Send only the system message if any to the server
+    >0 : Send the latest chat history from the latest system prompt, limited to specified cnt.
+
+
+By using gMe's iRecentUserMsgCnt and chatRequestOptions.max_tokens one can try to control the
+implications of loading of the ai-model's context window by chat history, wrt chat response to
+some extent in a simple crude way. You may also want to control the context size enabled when
+the server loads ai-model, on the server end.
+
+
+Sometimes the browser may be stuborn with caching of the file, so your updates to html/css/js
+may not be visible. Also remember that just refreshing/reloading page in browser or for that
+matter clearing site data, dont directly override site caching in all cases. Worst case you may
+have to change port. Or in dev tools of browser, you may be able to disable caching fully.
+
+
+Currently the server to communicate with is maintained globally and not as part of a specific
+chat session. So if one changes the server ip/url in setting, then all chat sessions will auto
+switch to this new server, when you try using those sessions.
+
+
+By switching between chat.add_system_begin/anytime, one can control whether one can change
+the system prompt, anytime during the conversation or only at the beginning.
+
+
+### Default setup
+
+By default things are setup to try and make the user experience a bit better, if possible.
+However a developer when testing the server of ai-model may want to change these value.
+
+Using iRecentUserMsgCnt reduce chat history context sent to the server/ai-model to be
+just the system-prompt, prev-user-request-and-ai-response and cur-user-request, instead of
+full chat history. This way if there is any response with garbage/repeatation, it doesnt
+mess with things beyond the next question/request/query, in some ways. The trim garbage
+option also tries to help avoid issues with garbage in the context to an extent.
+
+Set max_tokens to 1024, so that a relatively large previous reponse doesnt eat up the space
+available wrt next query-response. However dont forget that the server when started should
+also be started with a model context size of 1k or more, to be on safe side.
+
+  The /completions endpoint of examples/server doesnt take max_tokens, instead it takes the
+  internal n_predict, for now add the same here on the client side, maybe later add max_tokens
+  to /completions endpoint handling code on server side.
+
+NOTE: One may want to experiment with frequency/presence penalty fields in chatRequestOptions
+wrt the set of fields sent to server along with the user query. To check how the model behaves
+wrt repeatations in general in the generated text response.
+
+A end-user can change these behaviour by editing gMe from browser's devel-tool/console or by
+using the providing settings ui.
+
+
+### OpenAi / Equivalent API WebService
+
+One may be abe to handshake with OpenAI/Equivalent api web service's /chat/completions endpoint
+for a minimal chatting experimentation by setting the below.
+
+* the baseUrl in settings ui
+  * https://api.openai.com/v1 or similar
+
+* Wrt request body - gMe.chatRequestOptions
+  * model (settings ui)
+  * any additional fields if required in future
+
+* Wrt request headers - gMe.headers
+  * Authorization (available through settings ui)
+    * Bearer THE_OPENAI_API_KEY
+  * any additional optional header entries like "OpenAI-Organization", "OpenAI-Project" or so
+
+NOTE: Not tested, as there is no free tier api testing available. However logically this might
+work.
+
+
+## At the end
+
+Also a thank you to all open source and open model developers, who strive for the common good.
diff --git a/examples/server/public_simplechat/simplechat.css b/examples/server/public_simplechat/simplechat.css
new file mode 100644
index 000000000..13bfb80b4
--- /dev/null
+++ b/examples/server/public_simplechat/simplechat.css
@@ -0,0 +1,79 @@
+/**
+ * the styling of the simplechat web frontend
+ * by Humans for All
+ */
+
+#fullbody {
+    height: 98vh;
+}
+
+.heading {
+    background-color: lightgray;
+}
+
+.session-selected {
+    background-color: lightblue;
+}
+
+.role-system {
+    background-color: lightblue;
+}
+.role-user {
+    background-color: lightgray;
+}
+.role-trim {
+    background-color: lightpink;
+}
+
+.gridx2 {
+    display: grid;
+    grid-template-columns: repeat(2, 1fr);
+    border-bottom-style: dotted;
+    border-bottom-width: thin;
+    border-bottom-color: lightblue;
+}
+
+.flex-grow {
+    flex-grow: 1;
+}
+.float-right {
+    float: right;
+}
+
+#chat-div {
+    overflow: scroll;
+    flex-grow: 1;
+    flex-shrink: 1;
+    min-height: 40vh;
+}
+button {
+    min-width: 8vw;
+}
+
+.sameline {
+    display: flex;
+    flex-direction: row;
+}
+.samecolumn {
+    display: flex;
+    flex-direction: column;
+}
+
+.ul1 {
+    padding-inline-start: 2vw;
+}
+.ul2 {
+    padding-inline-start: 2vw;
+}
+
+* {
+    margin: 0.6vmin;
+}
+
+@media print {
+
+    #fullbody {
+        height: auto;
+    }
+
+}
diff --git a/examples/server/public_simplechat/simplechat.js b/examples/server/public_simplechat/simplechat.js
new file mode 100644
index 000000000..25afb2564
--- /dev/null
+++ b/examples/server/public_simplechat/simplechat.js
@@ -0,0 +1,921 @@
+// @ts-check
+// A simple completions and chat/completions test related web front end logic
+// by Humans for All
+
+import * as du from "./datautils.mjs";
+import * as ui from "./ui.mjs"
+
+class Roles {
+    static System = "system";
+    static User = "user";
+    static Assistant = "assistant";
+}
+
+class ApiEP {
+    static Type = {
+        Chat: "chat",
+        Completion: "completion",
+    }
+    static UrlSuffix = {
+        'chat': `/chat/completions`,
+        'completion': `/completions`,
+    }
+
+    /**
+     * Build the url from given baseUrl and apiEp id.
+     * @param {string} baseUrl
+     * @param {string} apiEP
+     */
+    static Url(baseUrl, apiEP) {
+        if (baseUrl.endsWith("/")) {
+            baseUrl = baseUrl.substring(0, baseUrl.length-1);
+        }
+        return `${baseUrl}${this.UrlSuffix[apiEP]}`;
+    }
+
+}
+
+
+let gUsageMsg = `
+    <p class="role-system">Usage</p>
+    <ul class="ul1">
+    <li> System prompt above, to try control ai response characteristics.</li>
+        <ul class="ul2">
+        <li> Completion mode - no system prompt normally.</li>
+        </ul>
+    <li> Use shift+enter for inserting enter/newline.</li>
+    <li> Enter your query to ai assistant below.</li>
+    <li> Default ContextWindow = [System, Last Query+Resp, Cur Query].</li>
+        <ul class="ul2">
+        <li> ChatHistInCtxt, MaxTokens, ModelCtxt window to expand</li>
+        </ul>
+    </ul>
+`;
+
+
+/** @typedef {{role: string, content: string}[]} ChatMessages */
+
+/** @typedef {{iLastSys: number, xchat: ChatMessages}} SimpleChatODS */
+
+class SimpleChat {
+
+    /**
+     * @param {string} chatId
+     */
+    constructor(chatId) {
+        this.chatId = chatId;
+        /**
+         * Maintain in a form suitable for common LLM web service chat/completions' messages entry
+         * @type {ChatMessages}
+         */
+        this.xchat = [];
+        this.iLastSys = -1;
+        this.latestResponse = "";
+    }
+
+    clear() {
+        this.xchat = [];
+        this.iLastSys = -1;
+    }
+
+    ods_key() {
+        return `SimpleChat-${this.chatId}`
+    }
+
+    save() {
+        /** @type {SimpleChatODS} */
+        let ods = {iLastSys: this.iLastSys, xchat: this.xchat};
+        localStorage.setItem(this.ods_key(), JSON.stringify(ods));
+    }
+
+    load() {
+        let sods = localStorage.getItem(this.ods_key());
+        if (sods == null) {
+            return;
+        }
+        /** @type {SimpleChatODS} */
+        let ods = JSON.parse(sods);
+        this.iLastSys = ods.iLastSys;
+        this.xchat = ods.xchat;
+    }
+
+    /**
+     * Recent chat messages.
+     * If iRecentUserMsgCnt < 0
+     *   Then return the full chat history
+     * Else
+     *   Return chat messages from latest going back till the last/latest system prompt.
+     *   While keeping track that the number of user queries/messages doesnt exceed iRecentUserMsgCnt.
+     * @param {number} iRecentUserMsgCnt
+     */
+    recent_chat(iRecentUserMsgCnt) {
+        if (iRecentUserMsgCnt < 0) {
+            return this.xchat;
+        }
+        if (iRecentUserMsgCnt == 0) {
+            console.warn("WARN:SimpleChat:SC:RecentChat:iRecentUsermsgCnt of 0 means no user message/query sent");
+        }
+        /** @type{ChatMessages} */
+        let rchat = [];
+        let sysMsg = this.get_system_latest();
+        if (sysMsg.length != 0) {
+            rchat.push({role: Roles.System, content: sysMsg});
+        }
+        let iUserCnt = 0;
+        let iStart = this.xchat.length;
+        for(let i=this.xchat.length-1; i > this.iLastSys; i--) {
+            if (iUserCnt >= iRecentUserMsgCnt) {
+                break;
+            }
+            let msg = this.xchat[i];
+            if (msg.role == Roles.User) {
+                iStart = i;
+                iUserCnt += 1;
+            }
+        }
+        for(let i = iStart; i < this.xchat.length; i++) {
+            let msg = this.xchat[i];
+            if (msg.role == Roles.System) {
+                continue;
+            }
+            rchat.push({role: msg.role, content: msg.content});
+        }
+        return rchat;
+    }
+
+    /**
+     * Collate the latest response from the server/ai-model, as it is becoming available.
+     * This is mainly useful for the stream mode.
+     * @param {string} content
+     */
+    append_response(content) {
+        this.latestResponse += content;
+    }
+
+    /**
+     * Add an entry into xchat
+     * @param {string} role
+     * @param {string|undefined|null} content
+     */
+    add(role, content) {
+        if ((content == undefined) || (content == null) || (content == "")) {
+            return false;
+        }
+        this.xchat.push( {role: role, content: content} );
+        if (role == Roles.System) {
+            this.iLastSys = this.xchat.length - 1;
+        }
+        this.save();
+        return true;
+    }
+
+    /**
+     * Show the contents in the specified div
+     * @param {HTMLDivElement} div
+     * @param {boolean} bClear
+     */
+    show(div, bClear=true) {
+        if (bClear) {
+            div.replaceChildren();
+        }
+        let last = undefined;
+        for(const x of this.recent_chat(gMe.iRecentUserMsgCnt)) {
+            let entry = ui.el_create_append_p(`${x.role}: ${x.content}`, div);
+            entry.className = `role-${x.role}`;
+            last = entry;
+        }
+        if (last !== undefined) {
+            last.scrollIntoView(false);
+        } else {
+            if (bClear) {
+                div.innerHTML = gUsageMsg;
+                gMe.setup_load(div, this);
+                gMe.show_info(div);
+            }
+        }
+        return last;
+    }
+
+    /**
+     * Setup the fetch headers.
+     * It picks the headers from gMe.headers.
+     * It inserts Authorization only if its non-empty.
+     * @param {string} apiEP
+     */
+    fetch_headers(apiEP) {
+        let headers = new Headers();
+        for(let k in gMe.headers) {
+            let v = gMe.headers[k];
+            if ((k == "Authorization") && (v.trim() == "")) {
+                continue;
+            }
+            headers.append(k, v);
+        }
+        return headers;
+    }
+
+    /**
+     * Add needed fields wrt json object to be sent wrt LLM web services completions endpoint.
+     * The needed fields/options are picked from a global object.
+     * Add optional stream flag, if required.
+     * Convert the json into string.
+     * @param {Object} obj
+     */
+    request_jsonstr_extend(obj) {
+        for(let k in gMe.chatRequestOptions) {
+            obj[k] = gMe.chatRequestOptions[k];
+        }
+        if (gMe.bStream) {
+            obj["stream"] = true;
+        }
+        return JSON.stringify(obj);
+    }
+
+    /**
+     * Return a string form of json object suitable for chat/completions
+     */
+    request_messages_jsonstr() {
+        let req = {
+            messages: this.recent_chat(gMe.iRecentUserMsgCnt),
+        }
+        return this.request_jsonstr_extend(req);
+    }
+
+    /**
+     * Return a string form of json object suitable for /completions
+     * @param {boolean} bInsertStandardRolePrefix Insert "<THE_ROLE>: " as prefix wrt each role's message
+     */
+    request_prompt_jsonstr(bInsertStandardRolePrefix) {
+        let prompt = "";
+        let iCnt = 0;
+        for(const chat of this.recent_chat(gMe.iRecentUserMsgCnt)) {
+            iCnt += 1;
+            if (iCnt > 1) {
+                prompt += "\n";
+            }
+            if (bInsertStandardRolePrefix) {
+                prompt += `${chat.role}: `;
+            }
+            prompt += `${chat.content}`;
+        }
+        let req = {
+            prompt: prompt,
+        }
+        return this.request_jsonstr_extend(req);
+    }
+
+    /**
+     * Return a string form of json object suitable for specified api endpoint.
+     * @param {string} apiEP
+     */
+    request_jsonstr(apiEP) {
+        if (apiEP == ApiEP.Type.Chat) {
+            return this.request_messages_jsonstr();
+        } else {
+            return this.request_prompt_jsonstr(gMe.bCompletionInsertStandardRolePrefix);
+        }
+    }
+
+    /**
+     * Extract the ai-model/assistant's response from the http response got.
+     * Optionally trim the message wrt any garbage at the end.
+     * @param {any} respBody
+     * @param {string} apiEP
+     */
+    response_extract(respBody, apiEP) {
+        let assistant = "";
+        if (apiEP == ApiEP.Type.Chat) {
+            assistant = respBody["choices"][0]["message"]["content"];
+        } else {
+            try {
+                assistant = respBody["choices"][0]["text"];
+            } catch {
+                assistant = respBody["content"];
+            }
+        }
+        return assistant;
+    }
+
+    /**
+     * Extract the ai-model/assistant's response from the http response got in streaming mode.
+     * @param {any} respBody
+     * @param {string} apiEP
+     */
+    response_extract_stream(respBody, apiEP) {
+        let assistant = "";
+        if (apiEP == ApiEP.Type.Chat) {
+            if (respBody["choices"][0]["finish_reason"] !== "stop") {
+                assistant = respBody["choices"][0]["delta"]["content"];
+            }
+        } else {
+            try {
+                assistant = respBody["choices"][0]["text"];
+            } catch {
+                assistant = respBody["content"];
+            }
+        }
+        return assistant;
+    }
+
+    /**
+     * Allow setting of system prompt, but only at begining.
+     * @param {string} sysPrompt
+     * @param {string} msgTag
+     */
+    add_system_begin(sysPrompt, msgTag) {
+        if (this.xchat.length == 0) {
+            if (sysPrompt.length > 0) {
+                return this.add(Roles.System, sysPrompt);
+            }
+        } else {
+            if (sysPrompt.length > 0) {
+                if (this.xchat[0].role !== Roles.System) {
+                    console.error(`ERRR:SimpleChat:SC:${msgTag}:You need to specify system prompt before any user query, ignoring...`);
+                } else {
+                    if (this.xchat[0].content !== sysPrompt) {
+                        console.error(`ERRR:SimpleChat:SC:${msgTag}:You cant change system prompt, mid way through, ignoring...`);
+                    }
+                }
+            }
+        }
+        return false;
+    }
+
+    /**
+     * Allow setting of system prompt, at any time.
+     * @param {string} sysPrompt
+     * @param {string} msgTag
+     */
+    add_system_anytime(sysPrompt, msgTag) {
+        if (sysPrompt.length <= 0) {
+            return false;
+        }
+
+        if (this.iLastSys < 0) {
+            return this.add(Roles.System, sysPrompt);
+        }
+
+        let lastSys = this.xchat[this.iLastSys].content;
+        if (lastSys !== sysPrompt) {
+            return this.add(Roles.System, sysPrompt);
+        }
+        return false;
+    }
+
+    /**
+     * Retrieve the latest system prompt.
+     */
+    get_system_latest() {
+        if (this.iLastSys == -1) {
+            return "";
+        }
+        let sysPrompt = this.xchat[this.iLastSys].content;
+        return sysPrompt;
+    }
+
+
+    /**
+     * Handle the multipart response from server/ai-model
+     * @param {Response} resp
+     * @param {string} apiEP
+     * @param {HTMLDivElement} elDiv
+     */
+    async handle_response_multipart(resp, apiEP, elDiv) {
+        let elP = ui.el_create_append_p("", elDiv);
+        if (!resp.body) {
+            throw Error("ERRR:SimpleChat:SC:HandleResponseMultiPart:No body...");
+        }
+        let tdUtf8 = new TextDecoder("utf-8");
+        let rr = resp.body.getReader();
+        this.latestResponse = "";
+        let xLines = new du.NewLines();
+        while(true) {
+            let { value: cur,  done: done } = await rr.read();
+            if (cur) {
+                let curBody = tdUtf8.decode(cur, {stream: true});
+                console.debug("DBUG:SC:PART:Str:", curBody);
+                xLines.add_append(curBody);
+            }
+            while(true) {
+                let curLine = xLines.shift(!done);
+                if (curLine == undefined) {
+                    break;
+                }
+                if (curLine.trim() == "") {
+                    continue;
+                }
+                if (curLine.startsWith("data:")) {
+                    curLine = curLine.substring(5);
+                }
+                let curJson = JSON.parse(curLine);
+                console.debug("DBUG:SC:PART:Json:", curJson);
+                this.append_response(this.response_extract_stream(curJson, apiEP));
+            }
+            elP.innerText = this.latestResponse;
+            elP.scrollIntoView(false);
+            if (done) {
+                break;
+            }
+        }
+        console.debug("DBUG:SC:PART:Full:", this.latestResponse);
+        return this.latestResponse;
+    }
+
+    /**
+     * Handle the oneshot response from server/ai-model
+     * @param {Response} resp
+     * @param {string} apiEP
+     */
+    async handle_response_oneshot(resp, apiEP) {
+        let respBody = await resp.json();
+        console.debug(`DBUG:SimpleChat:SC:${this.chatId}:HandleUserSubmit:RespBody:${JSON.stringify(respBody)}`);
+        return this.response_extract(respBody, apiEP);
+    }
+
+    /**
+     * Handle the response from the server be it in oneshot or multipart/stream mode.
+     * Also take care of the optional garbage trimming.
+     * @param {Response} resp
+     * @param {string} apiEP
+     * @param {HTMLDivElement} elDiv
+     */
+    async handle_response(resp, apiEP, elDiv) {
+        let theResp = {
+            assistant: "",
+            trimmed: "",
+        }
+        if (gMe.bStream) {
+            try {
+                theResp.assistant = await this.handle_response_multipart(resp, apiEP, elDiv);
+                this.latestResponse = "";
+            } catch (error) {
+                theResp.assistant = this.latestResponse;
+                this.add(Roles.Assistant, theResp.assistant);
+                this.latestResponse = "";
+                throw error;
+            }
+        } else {
+            theResp.assistant = await this.handle_response_oneshot(resp, apiEP);
+        }
+        if (gMe.bTrimGarbage) {
+            let origMsg = theResp.assistant;
+            theResp.assistant = du.trim_garbage_at_end(origMsg);
+            theResp.trimmed = origMsg.substring(theResp.assistant.length);
+        }
+        this.add(Roles.Assistant, theResp.assistant);
+        return theResp;
+    }
+
+}
+
+
+class MultiChatUI {
+
+    constructor() {
+        /** @type {Object<string, SimpleChat>} */
+        this.simpleChats = {};
+        /** @type {string} */
+        this.curChatId = "";
+
+        // the ui elements
+        this.elInSystem = /** @type{HTMLInputElement} */(document.getElementById("system-in"));
+        this.elDivChat = /** @type{HTMLDivElement} */(document.getElementById("chat-div"));
+        this.elBtnUser = /** @type{HTMLButtonElement} */(document.getElementById("user-btn"));
+        this.elInUser = /** @type{HTMLInputElement} */(document.getElementById("user-in"));
+        this.elDivHeading = /** @type{HTMLSelectElement} */(document.getElementById("heading"));
+        this.elDivSessions = /** @type{HTMLDivElement} */(document.getElementById("sessions-div"));
+        this.elBtnSettings = /** @type{HTMLButtonElement} */(document.getElementById("settings"));
+
+        this.validate_element(this.elInSystem, "system-in");
+        this.validate_element(this.elDivChat, "chat-div");
+        this.validate_element(this.elInUser, "user-in");
+        this.validate_element(this.elDivHeading, "heading");
+        this.validate_element(this.elDivChat, "sessions-div");
+        this.validate_element(this.elBtnSettings, "settings");
+    }
+
+    /**
+     * Check if the element got
+     * @param {HTMLElement | null} el
+     * @param {string} msgTag
+     */
+    validate_element(el, msgTag) {
+        if (el == null) {
+            throw Error(`ERRR:SimpleChat:MCUI:${msgTag} element missing in html...`);
+        } else {
+            console.debug(`INFO:SimpleChat:MCUI:${msgTag} Id[${el.id}] Name[${el["name"]}]`);
+        }
+    }
+
+    /**
+     * Reset user input ui.
+     * * clear user input
+     * * enable user input
+     * * set focus to user input
+     */
+    ui_reset_userinput() {
+        this.elInUser.value = "";
+        this.elInUser.disabled = false;
+        this.elInUser.focus();
+    }
+
+    /**
+     * Setup the needed callbacks wrt UI, curChatId to defaultChatId and
+     * optionally switch to specified defaultChatId.
+     * @param {string} defaultChatId
+     * @param {boolean} bSwitchSession
+     */
+    setup_ui(defaultChatId, bSwitchSession=false) {
+
+        this.curChatId = defaultChatId;
+        if (bSwitchSession) {
+            this.handle_session_switch(this.curChatId);
+        }
+
+        this.elBtnSettings.addEventListener("click", (ev)=>{
+            this.elDivChat.replaceChildren();
+            gMe.show_settings(this.elDivChat);
+        });
+
+        this.elBtnUser.addEventListener("click", (ev)=>{
+            if (this.elInUser.disabled) {
+                return;
+            }
+            this.handle_user_submit(this.curChatId, gMe.apiEP).catch((/** @type{Error} */reason)=>{
+                let msg = `ERRR:SimpleChat\nMCUI:HandleUserSubmit:${this.curChatId}\n${reason.name}:${reason.message}`;
+                console.error(msg.replace("\n", ":"));
+                alert(msg);
+                this.ui_reset_userinput();
+            });
+        });
+
+        this.elInUser.addEventListener("keyup", (ev)=> {
+            // allow user to insert enter into their message using shift+enter.
+            // while just pressing enter key will lead to submitting.
+            if ((ev.key === "Enter") && (!ev.shiftKey)) {
+                let value = this.elInUser.value;
+                this.elInUser.value = value.substring(0,value.length-1);
+                this.elBtnUser.click();
+                ev.preventDefault();
+            }
+        });
+
+        this.elInSystem.addEventListener("keyup", (ev)=> {
+            // allow user to insert enter into the system prompt using shift+enter.
+            // while just pressing enter key will lead to setting the system prompt.
+            if ((ev.key === "Enter") && (!ev.shiftKey)) {
+                let value = this.elInSystem.value;
+                this.elInSystem.value = value.substring(0,value.length-1);
+                let chat = this.simpleChats[this.curChatId];
+                chat.add_system_anytime(this.elInSystem.value, this.curChatId);
+                chat.show(this.elDivChat);
+                ev.preventDefault();
+            }
+        });
+
+    }
+
+    /**
+     * Setup a new chat session and optionally switch to it.
+     * @param {string} chatId
+     * @param {boolean} bSwitchSession
+     */
+    new_chat_session(chatId, bSwitchSession=false) {
+        this.simpleChats[chatId] = new SimpleChat(chatId);
+        if (bSwitchSession) {
+            this.handle_session_switch(chatId);
+        }
+    }
+
+
+    /**
+     * Handle user query submit request, wrt specified chat session.
+     * @param {string} chatId
+     * @param {string} apiEP
+     */
+    async handle_user_submit(chatId, apiEP) {
+
+        let chat = this.simpleChats[chatId];
+
+        // In completion mode, if configured, clear any previous chat history.
+        // So if user wants to simulate a multi-chat based completion query,
+        // they will have to enter the full thing, as a suitable multiline
+        // user input/query.
+        if ((apiEP == ApiEP.Type.Completion) && (gMe.bCompletionFreshChatAlways)) {
+            chat.clear();
+        }
+
+        chat.add_system_anytime(this.elInSystem.value, chatId);
+
+        let content = this.elInUser.value;
+        if (!chat.add(Roles.User, content)) {
+            console.debug(`WARN:SimpleChat:MCUI:${chatId}:HandleUserSubmit:Ignoring empty user input...`);
+            return;
+        }
+        chat.show(this.elDivChat);
+
+        let theUrl = ApiEP.Url(gMe.baseURL, apiEP);
+        let theBody = chat.request_jsonstr(apiEP);
+
+        this.elInUser.value = "working...";
+        this.elInUser.disabled = true;
+        console.debug(`DBUG:SimpleChat:MCUI:${chatId}:HandleUserSubmit:${theUrl}:ReqBody:${theBody}`);
+        let theHeaders = chat.fetch_headers(apiEP);
+        let resp = await fetch(theUrl, {
+            method: "POST",
+            headers: theHeaders,
+            body: theBody,
+        });
+
+        let theResp = await chat.handle_response(resp, apiEP, this.elDivChat);
+        if (chatId == this.curChatId) {
+            chat.show(this.elDivChat);
+            if (theResp.trimmed.length > 0) {
+                let p = ui.el_create_append_p(`TRIMMED:${theResp.trimmed}`, this.elDivChat);
+                p.className="role-trim";
+            }
+        } else {
+            console.debug(`DBUG:SimpleChat:MCUI:HandleUserSubmit:ChatId has changed:[${chatId}] [${this.curChatId}]`);
+        }
+        this.ui_reset_userinput();
+    }
+
+    /**
+     * Show buttons for NewChat and available chat sessions, in the passed elDiv.
+     * If elDiv is undefined/null, then use this.elDivSessions.
+     * Take care of highlighting the selected chat-session's btn.
+     * @param {HTMLDivElement | undefined} elDiv
+     */
+    show_sessions(elDiv=undefined) {
+        if (!elDiv) {
+            elDiv = this.elDivSessions;
+        }
+        elDiv.replaceChildren();
+        // Btn for creating new chat session
+        let btnNew = ui.el_create_button("New CHAT", (ev)=> {
+            if (this.elInUser.disabled) {
+                console.error(`ERRR:SimpleChat:MCUI:NewChat:Current session [${this.curChatId}] awaiting response, ignoring request...`);
+                alert("ERRR:SimpleChat\nMCUI:NewChat\nWait for response to pending query, before starting new chat session");
+                return;
+            }
+            let chatId = `Chat${Object.keys(this.simpleChats).length}`;
+            let chatIdGot = prompt("INFO:SimpleChat\nMCUI:NewChat\nEnter id for new chat session", chatId);
+            if (!chatIdGot) {
+                console.error("ERRR:SimpleChat:MCUI:NewChat:Skipping based on user request...");
+                return;
+            }
+            this.new_chat_session(chatIdGot, true);
+            this.create_session_btn(elDiv, chatIdGot);
+            ui.el_children_config_class(elDiv, chatIdGot, "session-selected", "");
+        });
+        elDiv.appendChild(btnNew);
+        // Btns for existing chat sessions
+        let chatIds = Object.keys(this.simpleChats);
+        for(let cid of chatIds) {
+            let btn = this.create_session_btn(elDiv, cid);
+            if (cid == this.curChatId) {
+                btn.className = "session-selected";
+            }
+        }
+    }
+
+    create_session_btn(elDiv, cid) {
+        let btn = ui.el_create_button(cid, (ev)=>{
+            let target = /** @type{HTMLButtonElement} */(ev.target);
+            console.debug(`DBUG:SimpleChat:MCUI:SessionClick:${target.id}`);
+            if (this.elInUser.disabled) {
+                console.error(`ERRR:SimpleChat:MCUI:SessionClick:${target.id}:Current session [${this.curChatId}] awaiting response, ignoring switch...`);
+                alert("ERRR:SimpleChat\nMCUI:SessionClick\nWait for response to pending query, before switching");
+                return;
+            }
+            this.handle_session_switch(target.id);
+            ui.el_children_config_class(elDiv, target.id, "session-selected", "");
+        });
+        elDiv.appendChild(btn);
+        return btn;
+    }
+
+    /**
+     * Switch ui to the specified chatId and set curChatId to same.
+     * @param {string} chatId
+     */
+    async handle_session_switch(chatId) {
+        let chat = this.simpleChats[chatId];
+        if (chat == undefined) {
+            console.error(`ERRR:SimpleChat:MCUI:HandleSessionSwitch:${chatId} missing...`);
+            return;
+        }
+        this.elInSystem.value = chat.get_system_latest();
+        this.elInUser.value = "";
+        chat.show(this.elDivChat);
+        this.elInUser.focus();
+        this.curChatId = chatId;
+        console.log(`INFO:SimpleChat:MCUI:HandleSessionSwitch:${chatId} entered...`);
+    }
+
+}
+
+
+class Me {
+
+    constructor() {
+        this.baseURL = "http://127.0.0.1:8080";
+        this.defaultChatIds = [ "Default", "Other" ];
+        this.multiChat = new MultiChatUI();
+        this.bStream = true;
+        this.bCompletionFreshChatAlways = true;
+        this.bCompletionInsertStandardRolePrefix = false;
+        this.bTrimGarbage = true;
+        this.iRecentUserMsgCnt = 2;
+        this.sRecentUserMsgCnt = {
+            "Full": -1,
+            "Last0": 1,
+            "Last1": 2,
+            "Last2": 3,
+            "Last4": 5,
+        };
+        this.apiEP = ApiEP.Type.Chat;
+        this.headers = {
+            "Content-Type": "application/json",
+            "Authorization": "", // Authorization: Bearer OPENAI_API_KEY
+        }
+        // Add needed fields wrt json object to be sent wrt LLM web services completions endpoint.
+        this.chatRequestOptions = {
+            "model": "gpt-3.5-turbo",
+            "temperature": 0.7,
+            "max_tokens": 1024,
+            "n_predict": 1024,
+            //"frequency_penalty": 1.2,
+            //"presence_penalty": 1.2,
+        };
+    }
+
+    /**
+     * Disable console.debug by mapping it to a empty function.
+     */
+    debug_disable() {
+        this.console_debug = console.debug;
+        console.debug = () => {
+
+        };
+    }
+
+    /**
+     * Setup the load saved chat ui.
+     * @param {HTMLDivElement} div
+     * @param {SimpleChat} chat
+     */
+    setup_load(div, chat) {
+        if (!(chat.ods_key() in localStorage)) {
+            return;
+        }
+        div.innerHTML += `<p class="role-system">Restore</p>
+        <p>Load previously saved chat session, if available</p>`;
+        let btn = ui.el_create_button(chat.ods_key(), (ev)=>{
+            console.log("DBUG:SimpleChat:SC:Load", chat);
+            chat.load();
+            queueMicrotask(()=>{
+                chat.show(div);
+                this.multiChat.elInSystem.value = chat.get_system_latest();
+            });
+        });
+        div.appendChild(btn);
+    }
+
+    /**
+     * Show the configurable parameters info in the passed Div element.
+     * @param {HTMLDivElement} elDiv
+     * @param {boolean} bAll
+     */
+    show_info(elDiv, bAll=false) {
+
+        let p = ui.el_create_append_p("Settings (devel-tools-console document[gMe])", elDiv);
+        p.className = "role-system";
+
+        if (bAll) {
+
+            ui.el_create_append_p(`baseURL:${this.baseURL}`, elDiv);
+
+            ui.el_create_append_p(`Authorization:${this.headers["Authorization"]}`, elDiv);
+
+            ui.el_create_append_p(`bStream:${this.bStream}`, elDiv);
+
+            ui.el_create_append_p(`bCompletionFreshChatAlways:${this.bCompletionFreshChatAlways}`, elDiv);
+
+            ui.el_create_append_p(`bCompletionInsertStandardRolePrefix:${this.bCompletionInsertStandardRolePrefix}`, elDiv);
+
+            ui.el_create_append_p(`bTrimGarbage:${this.bTrimGarbage}`, elDiv);
+
+            ui.el_create_append_p(`iRecentUserMsgCnt:${this.iRecentUserMsgCnt}`, elDiv);
+
+            ui.el_create_append_p(`ApiEndPoint:${this.apiEP}`, elDiv);
+
+        }
+
+        ui.el_create_append_p(`chatRequestOptions:${JSON.stringify(this.chatRequestOptions, null, " - ")}`, elDiv);
+        ui.el_create_append_p(`headers:${JSON.stringify(this.headers, null, " - ")}`, elDiv);
+
+    }
+
+    /**
+     * Auto create ui input elements for fields in ChatRequestOptions
+     * Currently supports text and number field types.
+     * @param {HTMLDivElement} elDiv
+     */
+    show_settings_chatrequestoptions(elDiv) {
+        let typeDict = {
+            "string": "text",
+            "number": "number",
+        };
+        let fs = document.createElement("fieldset");
+        let legend = document.createElement("legend");
+        legend.innerText = "ChatRequestOptions";
+        fs.appendChild(legend);
+        elDiv.appendChild(fs);
+        for(const k in this.chatRequestOptions) {
+            let val = this.chatRequestOptions[k];
+            let type = typeof(val);
+            if (!((type == "string") || (type == "number"))) {
+                continue;
+            }
+            let inp = ui.el_creatediv_input(`Set${k}`, k, typeDict[type], this.chatRequestOptions[k], (val)=>{
+                if (type == "number") {
+                    val = Number(val);
+                }
+                this.chatRequestOptions[k] = val;
+            });
+            fs.appendChild(inp.div);
+        }
+    }
+
+    /**
+     * Show settings ui for configurable parameters, in the passed Div element.
+     * @param {HTMLDivElement} elDiv
+     */
+    show_settings(elDiv) {
+
+        let inp = ui.el_creatediv_input("SetBaseURL", "BaseURL", "text", this.baseURL, (val)=>{
+            this.baseURL = val;
+        });
+        elDiv.appendChild(inp.div);
+
+        inp = ui.el_creatediv_input("SetAuthorization", "Authorization", "text", this.headers["Authorization"], (val)=>{
+            this.headers["Authorization"] = val;
+        });
+        inp.el.placeholder = "Bearer OPENAI_API_KEY";
+        elDiv.appendChild(inp.div);
+
+        let bb = ui.el_creatediv_boolbutton("SetStream", "Stream", {true: "[+] yes stream", false: "[-] do oneshot"}, this.bStream, (val)=>{
+            this.bStream = val;
+        });
+        elDiv.appendChild(bb.div);
+
+        bb = ui.el_creatediv_boolbutton("SetCompletionFreshChatAlways", "CompletionFreshChatAlways", {true: "[+] yes fresh", false: "[-] no, with history"}, this.bCompletionFreshChatAlways, (val)=>{
+            this.bCompletionFreshChatAlways = val;
+        });
+        elDiv.appendChild(bb.div);
+
+        bb = ui.el_creatediv_boolbutton("SetCompletionInsertStandardRolePrefix", "CompletionInsertStandardRolePrefix", {true: "[+] yes insert", false: "[-] dont insert"}, this.bCompletionInsertStandardRolePrefix, (val)=>{
+            this.bCompletionInsertStandardRolePrefix = val;
+        });
+        elDiv.appendChild(bb.div);
+
+        bb = ui.el_creatediv_boolbutton("SetTrimGarbage", "TrimGarbage", {true: "[+] yes trim", false: "[-] dont trim"}, this.bTrimGarbage, (val)=>{
+            this.bTrimGarbage = val;
+        });
+        elDiv.appendChild(bb.div);
+
+        let sel = ui.el_creatediv_select("SetChatHistoryInCtxt", "ChatHistoryInCtxt", this.sRecentUserMsgCnt, this.iRecentUserMsgCnt, (val)=>{
+            this.iRecentUserMsgCnt = this.sRecentUserMsgCnt[val];
+        });
+        elDiv.appendChild(sel.div);
+
+        sel = ui.el_creatediv_select("SetApiEP", "ApiEndPoint", ApiEP.Type, this.apiEP, (val)=>{
+            this.apiEP = ApiEP.Type[val];
+        });
+        elDiv.appendChild(sel.div);
+
+        this.show_settings_chatrequestoptions(elDiv);
+
+    }
+
+}
+
+
+/** @type {Me} */
+let gMe;
+
+function startme() {
+    console.log("INFO:SimpleChat:StartMe:Starting...");
+    gMe = new Me();
+    gMe.debug_disable();
+    document["gMe"] = gMe;
+    document["du"] = du;
+    for (let cid of gMe.defaultChatIds) {
+        gMe.multiChat.new_chat_session(cid);
+    }
+    gMe.multiChat.setup_ui(gMe.defaultChatIds[0], true);
+    gMe.multiChat.show_sessions();
+}
+
+document.addEventListener("DOMContentLoaded", startme);
diff --git a/examples/server/public_simplechat/ui.mjs b/examples/server/public_simplechat/ui.mjs
new file mode 100644
index 000000000..b2d5b9aea
--- /dev/null
+++ b/examples/server/public_simplechat/ui.mjs
@@ -0,0 +1,211 @@
+//@ts-check
+// Helpers to work with html elements
+// by Humans for All
+//
+
+
+/**
+ * Set the class of the children, based on whether it is the idSelected or not.
+ * @param {HTMLDivElement} elBase
+ * @param {string} idSelected
+ * @param {string} classSelected
+ * @param {string} classUnSelected
+ */
+export function el_children_config_class(elBase, idSelected, classSelected, classUnSelected="") {
+    for(let child of elBase.children) {
+        if (child.id == idSelected) {
+            child.className = classSelected;
+        } else {
+            child.className = classUnSelected;
+        }
+    }
+}
+
+/**
+ * Create button and set it up.
+ * @param {string} id
+ * @param {(this: HTMLButtonElement, ev: MouseEvent) => any} callback
+ * @param {string | undefined} name
+ * @param {string | undefined} innerText
+ */
+export function el_create_button(id, callback, name=undefined, innerText=undefined) {
+    if (!name) {
+        name = id;
+    }
+    if (!innerText) {
+        innerText = id;
+    }
+    let btn = document.createElement("button");
+    btn.id = id;
+    btn.name = name;
+    btn.innerText = innerText;
+    btn.addEventListener("click", callback);
+    return btn;
+}
+
+/**
+ * Create a para and set it up. Optionaly append it to a passed parent.
+ * @param {string} text
+ * @param {HTMLElement | undefined} elParent
+ * @param {string | undefined} id
+ */
+export function el_create_append_p(text, elParent=undefined, id=undefined) {
+    let para = document.createElement("p");
+    para.innerText = text;
+    if (id) {
+        para.id = id;
+    }
+    if (elParent) {
+        elParent.appendChild(para);
+    }
+    return para;
+}
+
+/**
+ * Create a button which represents bool value using specified text wrt true and false.
+ * When ever user clicks the button, it will toggle the value and update the shown text.
+ *
+ * @param {string} id
+ * @param {{true: string, false: string}} texts
+ * @param {boolean} defaultValue
+ * @param {function(boolean):void} cb
+ */
+export function el_create_boolbutton(id, texts, defaultValue, cb) {
+    let el = document.createElement("button");
+    el["xbool"] = defaultValue;
+    el["xtexts"] = structuredClone(texts);
+    el.innerText = el["xtexts"][String(defaultValue)];
+    if (id) {
+        el.id = id;
+    }
+    el.addEventListener('click', (ev)=>{
+        el["xbool"] = !el["xbool"];
+        el.innerText = el["xtexts"][String(el["xbool"])];
+        cb(el["xbool"]);
+    })
+    return el;
+}
+
+/**
+ * Create a div wrapped button which represents bool value using specified text wrt true and false.
+ * @param {string} id
+ * @param {string} label
+ * @param {{ true: string; false: string; }} texts
+ * @param {boolean} defaultValue
+ * @param {(arg0: boolean) => void} cb
+ * @param {string} className
+ */
+export function el_creatediv_boolbutton(id, label, texts, defaultValue, cb, className="gridx2") {
+    let div = document.createElement("div");
+    div.className = className;
+    let lbl = document.createElement("label");
+    lbl.setAttribute("for", id);
+    lbl.innerText = label;
+    div.appendChild(lbl);
+    let btn = el_create_boolbutton(id, texts, defaultValue, cb);
+    div.appendChild(btn);
+    return { div: div, el: btn };
+}
+
+
+/**
+ * Create a select ui element, with a set of options to select from.
+ * * options: an object which contains name-value pairs
+ * * defaultOption: the value whose name should be choosen, by default.
+ * * cb : the call back returns the name string of the option selected.
+ *
+ * @param {string} id
+ * @param {Object<string,*>} options
+ * @param {*} defaultOption
+ * @param {function(string):void} cb
+ */
+export function el_create_select(id, options, defaultOption, cb) {
+    let el = document.createElement("select");
+    el["xselected"] = defaultOption;
+    el["xoptions"] = structuredClone(options);
+    for(let cur of Object.keys(options)) {
+        let op = document.createElement("option");
+        op.value = cur;
+        op.innerText = cur;
+        if (options[cur] == defaultOption) {
+            op.selected = true;
+        }
+        el.appendChild(op);
+    }
+    if (id) {
+        el.id = id;
+        el.name = id;
+    }
+    el.addEventListener('change', (ev)=>{
+        let target = /** @type{HTMLSelectElement} */(ev.target);
+        console.log("DBUG:UI:Select:", id, ":", target.value);
+        cb(target.value);
+    })
+    return el;
+}
+
+/**
+ * Create a div wrapped select ui element, with a set of options to select from.
+ *
+ * @param {string} id
+ * @param {any} label
+ * @param {{ [x: string]: any; }} options
+ * @param {any} defaultOption
+ * @param {(arg0: string) => void} cb
+ * @param {string} className
+ */
+export function el_creatediv_select(id, label, options, defaultOption, cb, className="gridx2") {
+    let div = document.createElement("div");
+    div.className = className;
+    let lbl = document.createElement("label");
+    lbl.setAttribute("for", id);
+    lbl.innerText = label;
+    div.appendChild(lbl);
+    let sel = el_create_select(id, options,defaultOption, cb);
+    div.appendChild(sel);
+    return { div: div, el: sel };
+}
+
+
+/**
+ * Create a input ui element.
+ *
+ * @param {string} id
+ * @param {string} type
+ * @param {any} defaultValue
+ * @param {function(any):void} cb
+ */
+export function el_create_input(id, type, defaultValue, cb) {
+    let el = document.createElement("input");
+    el.type = type;
+    el.value = defaultValue;
+    if (id) {
+        el.id = id;
+    }
+    el.addEventListener('change', (ev)=>{
+        cb(el.value);
+    })
+    return el;
+}
+
+/**
+ * Create a div wrapped input.
+ *
+ * @param {string} id
+ * @param {string} label
+ * @param {string} type
+ * @param {any} defaultValue
+ * @param {function(any):void} cb
+ * @param {string} className
+ */
+export function el_creatediv_input(id, label, type, defaultValue, cb, className="gridx2") {
+    let div = document.createElement("div");
+    div.className = className;
+    let lbl = document.createElement("label");
+    lbl.setAttribute("for", id);
+    lbl.innerText = label;
+    div.appendChild(lbl);
+    let el = el_create_input(id, type, defaultValue, cb);
+    div.appendChild(el);
+    return { div: div, el: el };
+}
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index ceaeb1f76..d581cad95 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -17,9 +17,20 @@
 #include "json.hpp"
 
 // auto generated files (update with ./deps.sh)
+#include "colorthemes.css.hpp"
+#include "style.css.hpp"
+#include "theme-beeninorder.css.hpp"
+#include "theme-ketivah.css.hpp"
+#include "theme-mangotango.css.hpp"
+#include "theme-playground.css.hpp"
+#include "theme-polarnight.css.hpp"
+#include "theme-snowstorm.css.hpp"
 #include "index.html.hpp"
+#include "index-new.html.hpp"
 #include "index.js.hpp"
 #include "completion.js.hpp"
+#include "system-prompts.js.hpp"
+#include "prompt-formats.js.hpp"
 #include "json-schema-to-grammar.mjs.hpp"
 
 #include <atomic>
@@ -102,7 +113,6 @@ struct slot_params {
     bool stream       = true;
     bool cache_prompt = false; // remember the prompt to avoid reprocessing all prompt
 
-    uint32_t seed      = -1; // RNG seed
     int32_t  n_keep    =  0; // number of tokens to keep from initial prompt
     int32_t  n_discard =  0; // number of tokens after n_keep that may be discarded when shifting context, 0 defaults to half
     int32_t  n_predict = -1; // new tokens to predict
@@ -113,29 +123,6 @@ struct slot_params {
     json input_suffix;
 };
 
-struct server_params {
-    int32_t port           = 8080;
-    int32_t read_timeout   = 600;
-    int32_t write_timeout  = 600;
-    int32_t n_threads_http = -1;
-
-    std::string hostname      = "127.0.0.1";
-    std::string public_path   = "";
-    std::string chat_template = "";
-    std::string system_prompt = "";
-
-    std::vector<std::string> api_keys;
-
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-    std::string ssl_key_file = "";
-    std::string ssl_cert_file = "";
-#endif
-
-    bool slots_endpoint   = true;
-    bool metrics_endpoint = false;
-    std::string slot_save_path;
-};
-
 struct server_slot {
     int id;
     int id_task = -1;
@@ -671,6 +658,13 @@ struct server_context {
             model = nullptr;
         }
 
+        // Clear any sampling context
+        for (server_slot & slot : slots) {
+            if (slot.ctx_sampling != nullptr) {
+                llama_sampling_free(slot.ctx_sampling);
+            }
+        }
+
         llama_batch_free(batch);
     }
 
@@ -1013,7 +1007,7 @@ struct server_context {
                         sampler_names.emplace_back(sampler_name);
                     }
                 }
-                slot.sparams.samplers_sequence = sampler_types_from_names(sampler_names, false);
+                slot.sparams.samplers_sequence = llama_sampling_types_from_names(sampler_names, false);
             } else {
                 slot.sparams.samplers_sequence = default_sparams.samplers_sequence;
             }
@@ -1244,20 +1238,20 @@ struct server_context {
     }
 
     json get_formated_generation(const server_slot & slot) const {
-        const auto eos_bias = slot.sparams.logit_bias.find(llama_token_eos(model));
+        const auto eos_bias   =             slot.sparams.logit_bias.find(llama_token_eos(model));
         const bool ignore_eos = eos_bias != slot.sparams.logit_bias.end() && eos_bias->second < 0.0f && std::isinf(eos_bias->second);
 
         std::vector<std::string> samplers_sequence;
         samplers_sequence.reserve(slot.sparams.samplers_sequence.size());
         for (const auto & sampler_type : slot.sparams.samplers_sequence) {
-            samplers_sequence.emplace_back(sampler_type_to_name_string(sampler_type));
+            samplers_sequence.emplace_back(llama_sampling_type_to_str(sampler_type));
         }
 
         return json {
             {"n_ctx",                     slot.n_ctx},
             {"n_predict",                 slot.n_predict},
             {"model",                     params.model_alias},
-            {"seed",                      slot.params.seed},
+            {"seed",                      slot.sparams.seed},
             {"temperature",               slot.sparams.temp},
             {"dynatemp_range",            slot.sparams.dynatemp_range},
             {"dynatemp_exponent",         slot.sparams.dynatemp_exponent},
@@ -1975,8 +1969,7 @@ struct server_context {
                                 slot.state = SLOT_STATE_PROCESSING;
                                 slot.command = SLOT_COMMAND_NONE;
                                 slot.release();
-                                slot.print_timings();
-                                send_final_response(slot);
+                                send_error(slot, "input is too large to process. increase the physical batch size", ERROR_TYPE_SERVER);
                                 continue;
                             }
                         } else {
@@ -2318,554 +2311,6 @@ struct server_context {
     }
 };
 
-static void server_print_usage(const char * argv0, const gpt_params & params, const server_params & sparams) {
-    printf("usage: %s [options]\n", argv0);
-    printf("\n");
-    printf("options:\n");
-    printf("  -h, --help                show this help message and exit\n");
-    printf("  -v, --verbose             verbose output (default: %s)\n", server_verbose ? "enabled" : "disabled");
-    printf("  -t N, --threads N         number of threads to use during computation (default: %d)\n", params.n_threads);
-    printf("  -tb N, --threads-batch N  number of threads to use during batch and prompt processing (default: same as --threads)\n");
-    printf("  --threads-http N          number of threads in the http server pool to process requests (default: max(hardware concurrency - 1, --parallel N + 2))\n");
-    printf("  -c N, --ctx-size N        size of the prompt context (default: %d)\n", params.n_ctx);
-    printf("  --rope-scaling {none,linear,yarn}\n");
-    printf("                            RoPE frequency scaling method, defaults to linear unless specified by the model\n");
-    printf("  --rope-freq-base N        RoPE base frequency (default: loaded from model)\n");
-    printf("  --rope-freq-scale N       RoPE frequency scaling factor, expands context by a factor of 1/N\n");
-    printf("  --yarn-ext-factor N       YaRN: extrapolation mix factor (default: 1.0, 0.0 = full interpolation)\n");
-    printf("  --yarn-attn-factor N      YaRN: scale sqrt(t) or attention magnitude (default: 1.0)\n");
-    printf("  --yarn-beta-slow N        YaRN: high correction dim or alpha (default: %.1f)\n", params.yarn_beta_slow);
-    printf("  --yarn-beta-fast N        YaRN: low correction dim or beta (default: %.1f)\n", params.yarn_beta_fast);
-    printf("  --pooling {none,mean,cls} pooling type for embeddings, use model default if unspecified\n");
-    printf("  -dt N, --defrag-thold N\n");
-    printf("                            KV cache defragmentation threshold (default: %.1f, < 0 - disabled)\n", params.defrag_thold);
-    printf("  -b N, --batch-size N      logical maximum batch size (default: %d)\n", params.n_batch);
-    printf("  -ub N, --ubatch-size N    physical maximum batch size (default: %d)\n", params.n_ubatch);
-    if (llama_supports_mlock()) {
-        printf("  --mlock                   force system to keep model in RAM rather than swapping or compressing\n");
-    }
-    if (llama_supports_mmap()) {
-        printf("  --no-mmap                 do not memory-map model (slower load but may reduce pageouts if not using mlock)\n");
-    }
-    printf("  --numa TYPE               attempt optimizations that help on some NUMA systems\n");
-    printf("                              - distribute: spread execution evenly over all nodes\n");
-    printf("                              - isolate: only spawn threads on CPUs on the node that execution started on\n");
-    printf("                              - numactl: use the CPU map provided my numactl\n");
-    if (llama_supports_gpu_offload()) {
-        printf("  -ngl N, --n-gpu-layers N\n");
-        printf("                            number of layers to store in VRAM\n");
-        printf("  -sm SPLIT_MODE, --split-mode SPLIT_MODE\n");
-        printf("                            how to split the model across multiple GPUs, one of:\n");
-        printf("                              - none: use one GPU only\n");
-        printf("                              - layer (default): split layers and KV across GPUs\n");
-        printf("                              - row: split rows across GPUs\n");
-        printf("  -ts SPLIT --tensor-split SPLIT\n");
-        printf("                            fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1\n");
-        printf("  -mg i, --main-gpu i       the GPU to use for the model (with split-mode = none),\n");
-        printf("                            or for intermediate results and KV (with split-mode = row)\n");
-        printf("  -nkvo, --no-kv-offload\n");
-        printf("                            disable KV offload\n");
-    }
-    printf("  -m FNAME, --model FNAME\n");
-    printf("                            model path (default: models/$filename with filename from --hf-file or --model-url if set, otherwise %s)\n", DEFAULT_MODEL_PATH);
-    printf("  -mu MODEL_URL, --model-url MODEL_URL\n");
-    printf("                            model download url (default: unused)\n");
-    printf("  -hfr REPO, --hf-repo REPO\n");
-    printf("                            Hugging Face model repository (default: unused)\n");
-    printf("  -hff FILE, --hf-file FILE\n");
-    printf("                            Hugging Face model file (default: unused)\n");
-    printf("  -a ALIAS, --alias ALIAS\n");
-    printf("                            set an alias for the model, will be added as `model` field in completion response\n");
-    printf("  --lora FNAME              apply LoRA adapter (implies --no-mmap)\n");
-    printf("  --lora-base FNAME         optional model to use as a base for the layers modified by the LoRA adapter\n");
-    printf("  --host                    ip address to listen (default  (default: %s)\n", sparams.hostname.c_str());
-    printf("  --port PORT               port to listen (default  (default: %d)\n", sparams.port);
-    printf("  --path PUBLIC_PATH        path from which to serve static files (default: disabled)\n");
-    printf("  --api-key API_KEY         optional api key to enhance server security. If set, requests must include this key for access.\n");
-    printf("  --api-key-file FNAME      path to file containing api keys delimited by new lines. If set, requests must include one of the keys for access.\n");
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-    printf("  --ssl-key-file FNAME      path to file a PEM-encoded SSL private key\n");
-    printf("  --ssl-cert-file FNAME     path to file a PEM-encoded SSL certificate\n");
-#endif
-    printf("  -to N, --timeout N        server read/write timeout in seconds (default: %d)\n", sparams.read_timeout);
-    printf("  --embeddings              enable embedding vector output (default: %s)\n", params.embedding ? "enabled" : "disabled");
-    printf("  -np N, --parallel N       number of slots for process requests (default: %d)\n", params.n_parallel);
-    printf("  -cb, --cont-batching      enable continuous batching (a.k.a dynamic batching) (default: enabled)\n");
-    printf("  -fa, --flash-attn         enable Flash Attention (default: %s)\n", params.flash_attn ? "enabled" : "disabled");
-    printf("  -spf FNAME, --system-prompt-file FNAME\n");
-    printf("                            set a file to load a system prompt (initial prompt of all slots), this is useful for chat applications.\n");
-    printf("  -ctk TYPE, --cache-type-k TYPE\n");
-    printf("                            KV cache data type for K (default: f16)\n");
-    printf("  -ctv TYPE, --cache-type-v TYPE\n");
-    printf("                            KV cache data type for V (default: f16)\n");
-    printf("  --log-format              log output format: json or text (default: json)\n");
-    printf("  --log-disable             disables logging to a file.\n");
-    printf("  --slots-endpoint-disable  disables slots monitoring endpoint.\n");
-    printf("  --metrics                 enable prometheus compatible metrics endpoint (default: %s).\n", sparams.metrics_endpoint ? "enabled" : "disabled");
-    printf("  --slot-save-path PATH     path to save slot kv cache (default: disabled)\n");
-    printf("\n");
-    printf("  -n, --n-predict           maximum tokens to predict (default: %d)\n", params.n_predict);
-    printf("  --override-kv KEY=TYPE:VALUE\n");
-    printf("                            advanced option to override model metadata by key. may be specified multiple times.\n");
-    printf("                            types: int, float, bool, str. example: --override-kv tokenizer.ggml.add_bos_token=bool:false\n");
-    printf("  -gan N, --grp-attn-n N    set the group attention factor to extend context size through self-extend(default: 1=disabled), used together with group attention width `--grp-attn-w`\n");
-    printf("  -gaw N, --grp-attn-w N    set the group attention width to extend context size through self-extend(default: 512), used together with group attention factor `--grp-attn-n`\n");
-    printf("  --chat-template JINJA_TEMPLATE\n");
-    printf("                            set custom jinja chat template (default: template taken from model's metadata)\n");
-    printf("                            only commonly used templates are accepted:\n");
-    printf("                            https://github.com/ggerganov/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template\n");
-    printf("\n");
-}
-
-static void server_params_parse(int argc, char ** argv, server_params & sparams, gpt_params & params) {
-    gpt_params    default_params;
-    server_params default_sparams;
-
-    std::string arg;
-    bool invalid_param = false;
-
-    for (int i = 1; i < argc; i++) {
-        arg = argv[i];
-        if (arg == "--port") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.port = std::stoi(argv[i]);
-        } else if (arg == "--host") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.hostname = argv[i];
-        } else if (arg == "--path") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.public_path = argv[i];
-        } else if (arg == "--api-key") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.api_keys.push_back(argv[i]);
-        } else if (arg == "--api-key-file") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            std::ifstream key_file(argv[i]);
-            if (!key_file) {
-                fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
-                invalid_param = true;
-                break;
-            }
-            std::string key;
-            while (std::getline(key_file, key)) {
-               if (key.size() > 0) {
-                   sparams.api_keys.push_back(key);
-               }
-            }
-            key_file.close();
-
-        }
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-        else if (arg == "--ssl-key-file") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.ssl_key_file = argv[i];
-        } else if (arg == "--ssl-cert-file") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.ssl_cert_file = argv[i];
-        }
-#endif
-        else if (arg == "--timeout" || arg == "-to") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.read_timeout = std::stoi(argv[i]);
-            sparams.write_timeout = std::stoi(argv[i]);
-        } else if (arg == "-m" || arg == "--model") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.model = argv[i];
-        } else if (arg == "-mu" || arg == "--model-url") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.model_url = argv[i];
-        } else if (arg == "-hfr" || arg == "--hf-repo") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.hf_repo = argv[i];
-        } else if (arg == "-hff" || arg == "--hf-file") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.hf_file = argv[i];
-        } else if (arg == "-a" || arg == "--alias") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.model_alias = argv[i];
-        } else if (arg == "-h" || arg == "--help") {
-            server_print_usage(argv[0], default_params, default_sparams);
-            exit(0);
-        } else if (arg == "-c" || arg == "--ctx-size" || arg == "--ctx_size") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.n_ctx = std::stoi(argv[i]);
-        } else if (arg == "--rope-scaling") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            std::string value(argv[i]);
-            /**/ if (value == "none")   { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_NONE; }
-            else if (value == "linear") { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_LINEAR; }
-            else if (value == "yarn")   { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_YARN; }
-            else { invalid_param = true; break; }
-        } else if (arg == "--rope-freq-base") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.rope_freq_base = std::stof(argv[i]);
-        } else if (arg == "--rope-freq-scale") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.rope_freq_scale = std::stof(argv[i]);
-        } else if (arg == "--yarn-ext-factor") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.yarn_ext_factor = std::stof(argv[i]);
-        }
-        else if (arg == "--yarn-attn-factor") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.yarn_attn_factor = std::stof(argv[i]);
-        } else if (arg == "--yarn-beta-fast") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.yarn_beta_fast = std::stof(argv[i]);
-        } else if (arg == "--yarn-beta-slow") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.yarn_beta_slow = std::stof(argv[i]);
-        } else if (arg == "--pooling") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            std::string value(argv[i]);
-            /**/ if (value == "none") { params.pooling_type = LLAMA_POOLING_TYPE_NONE; }
-            else if (value == "mean") { params.pooling_type = LLAMA_POOLING_TYPE_MEAN; }
-            else if (value == "cls")  { params.pooling_type = LLAMA_POOLING_TYPE_CLS; }
-            else { invalid_param = true; break; }
-        } else if (arg == "--defrag-thold" || arg == "-dt") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.defrag_thold = std::stof(argv[i]);
-        } else if (arg == "--threads" || arg == "-t") {
-            if (++i >= argc)
-            {
-                invalid_param = true;
-                break;
-            }
-            params.n_threads = std::stoi(argv[i]);
-        } else if (arg == "--grp-attn-n" || arg == "-gan") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-
-            params.grp_attn_n = std::stoi(argv[i]);
-        } else if (arg == "--grp-attn-w" || arg == "-gaw") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-
-            params.grp_attn_w = std::stoi(argv[i]);
-        } else if (arg == "--threads-batch" || arg == "-tb") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.n_threads_batch = std::stoi(argv[i]);
-        } else if (arg == "--threads-http") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.n_threads_http = std::stoi(argv[i]);
-        } else if (arg == "-b" || arg == "--batch-size") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.n_batch = std::stoi(argv[i]);
-        } else if (arg == "-ub" || arg == "--ubatch-size") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.n_ubatch = std::stoi(argv[i]);
-        } else if (arg == "--gpu-layers" || arg == "-ngl" || arg == "--n-gpu-layers") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            if (llama_supports_gpu_offload()) {
-                params.n_gpu_layers = std::stoi(argv[i]);
-            } else {
-                LOG_WARNING(
-                    "Not compiled with GPU offload support, --n-gpu-layers option will be ignored. "
-                    "See main README.md for information on enabling GPU BLAS support",
-                    {{"n_gpu_layers", params.n_gpu_layers}});
-            }
-        } else if (arg == "-nkvo" || arg == "--no-kv-offload") {
-            params.no_kv_offload = true;
-        } else if (arg == "--split-mode" || arg == "-sm") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            std::string arg_next = argv[i];
-            if (arg_next == "none") {
-                params.split_mode = LLAMA_SPLIT_MODE_NONE;
-            } else if (arg_next == "layer") {
-                params.split_mode = LLAMA_SPLIT_MODE_LAYER;
-            } else if (arg_next == "row") {
-                params.split_mode = LLAMA_SPLIT_MODE_ROW;
-            } else {
-                invalid_param = true;
-                break;
-            }
-#ifndef GGML_USE_CUDA
-            fprintf(stderr, "warning: llama.cpp was compiled without CUDA. Setting the split mode has no effect.\n");
-#endif // GGML_USE_CUDA
-        } else if (arg == "--tensor-split" || arg == "-ts") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-#if defined(GGML_USE_CUDA) || defined(GGML_USE_SYCL)
-            std::string arg_next = argv[i];
-
-            // split string by , and /
-            const std::regex regex{R"([,/]+)"};
-            std::sregex_token_iterator it{arg_next.begin(), arg_next.end(), regex, -1};
-            std::vector<std::string> split_arg{it, {}};
-            GGML_ASSERT(split_arg.size() <= llama_max_devices());
-
-            for (size_t i_device = 0; i_device < llama_max_devices(); ++i_device) {
-                if (i_device < split_arg.size()) {
-                    params.tensor_split[i_device] = std::stof(split_arg[i_device]);
-                } else {
-                    params.tensor_split[i_device] = 0.0f;
-                }
-            }
-#else
-            LOG_WARNING("llama.cpp was compiled without CUDA. It is not possible to set a tensor split.\n", {});
-#endif // GGML_USE_CUDA
-        } else if (arg == "--main-gpu" || arg == "-mg") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-#if defined(GGML_USE_CUDA) || defined(GGML_USE_SYCL)
-            params.main_gpu = std::stoi(argv[i]);
-#else
-            LOG_WARNING("llama.cpp was compiled without CUDA. It is not possible to set a main GPU.", {});
-#endif
-        } else if (arg == "--lora") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.lora_adapter.emplace_back(argv[i], 1.0f);
-            params.use_mmap = false;
-        } else if (arg == "--lora-scaled") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            const char * lora_adapter = argv[i];
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.lora_adapter.emplace_back(lora_adapter, std::stof(argv[i]));
-            params.use_mmap = false;
-        } else if (arg == "--lora-base") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.lora_base = argv[i];
-        } else if (arg == "-v" || arg == "--verbose") {
-#if SERVER_VERBOSE != 1
-            LOG_WARNING("server.cpp is not built with verbose logging.", {});
-#else
-            server_verbose = true;
-#endif
-        } else if (arg == "--mlock") {
-            params.use_mlock = true;
-        } else if (arg == "--no-mmap") {
-            params.use_mmap = false;
-        } else if (arg == "--numa") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            } else {
-                std::string value(argv[i]);
-                /**/ if (value == "distribute" || value == "" ) { params.numa = GGML_NUMA_STRATEGY_DISTRIBUTE; }
-                else if (value == "isolate")                    { params.numa = GGML_NUMA_STRATEGY_ISOLATE; }
-                else if (value == "numactl")                    { params.numa = GGML_NUMA_STRATEGY_NUMACTL; }
-                else { invalid_param = true; break; }
-            }
-        } else if (arg == "--embedding" || arg == "--embeddings") {
-            params.embedding = true;
-        } else if (arg == "-cb" || arg == "--cont-batching") {
-            params.cont_batching = true;
-        } else if (arg == "-fa" || arg == "--flash-attn") {
-            params.flash_attn = true;
-        } else if (arg == "-np" || arg == "--parallel") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.n_parallel = std::stoi(argv[i]);
-        } else if (arg == "-n" || arg == "--n-predict") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.n_predict = std::stoi(argv[i]);
-        } else if (arg == "-spf" || arg == "--system-prompt-file") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            std::ifstream file(argv[i]);
-            if (!file) {
-                fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
-                invalid_param = true;
-                break;
-            }
-            std::string system_prompt;
-            std::copy(
-                std::istreambuf_iterator<char>(file),
-                std::istreambuf_iterator<char>(),
-                std::back_inserter(system_prompt)
-            );
-            sparams.system_prompt = system_prompt;
-        } else if (arg == "-ctk" || arg == "--cache-type-k") {
-            params.cache_type_k = argv[++i];
-        } else if (arg == "-ctv" || arg == "--cache-type-v") {
-            params.cache_type_v = argv[++i];
-        } else if (arg == "--log-format") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            if (std::strcmp(argv[i], "json") == 0) {
-                server_log_json = true;
-            } else if (std::strcmp(argv[i], "text") == 0) {
-                server_log_json = false;
-            } else {
-                invalid_param = true;
-                break;
-            }
-        } else if (arg == "--log-disable") {
-            log_set_target(stdout);
-            LOG_INFO("logging to file is disabled.", {});
-        } else if (arg == "--slots-endpoint-disable") {
-            sparams.slots_endpoint = false;
-        } else if (arg == "--metrics") {
-            sparams.metrics_endpoint = true;
-        } else if (arg == "--slot-save-path") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.slot_save_path = argv[i];
-            // if doesn't end with DIRECTORY_SEPARATOR, add it
-            if (!sparams.slot_save_path.empty() && sparams.slot_save_path[sparams.slot_save_path.size() - 1] != DIRECTORY_SEPARATOR) {
-                sparams.slot_save_path += DIRECTORY_SEPARATOR;
-            }
-        } else if (arg == "--chat-template") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            if (!verify_custom_template(argv[i])) {
-                fprintf(stderr, "error: the supplied chat template is not supported: %s\n", argv[i]);
-                fprintf(stderr, "note: llama.cpp does not use jinja parser, we only support commonly used templates\n");
-                invalid_param = true;
-                break;
-            }
-            sparams.chat_template = argv[i];
-        } else if (arg == "--override-kv") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            if (!parse_kv_override(argv[i], params.kv_overrides)) {
-                fprintf(stderr, "error: Invalid type for KV override: %s\n", argv[i]);
-                invalid_param = true;
-                break;
-            }
-        } else {
-            fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
-            server_print_usage(argv[0], default_params, default_sparams);
-            exit(1);
-        }
-    }
-
-    gpt_params_handle_model_default(params);
-
-    if (!params.kv_overrides.empty()) {
-        params.kv_overrides.emplace_back();
-        params.kv_overrides.back().key[0] = 0;
-    }
-
-    if (invalid_param) {
-        fprintf(stderr, "error: invalid parameter for argument: %s\n", arg.c_str());
-        server_print_usage(argv[0], default_params, default_sparams);
-        exit(1);
-    }
-}
-
 static void log_server_request(const httplib::Request & req, const httplib::Response & res) {
     // skip GH copilot requests when using default port
     if (req.path == "/v1/health" || req.path == "/v1/completions") {
@@ -2906,16 +2351,22 @@ int main(int argc, char ** argv) {
     log_disable();
 #endif
     // own arguments required by this example
-    gpt_params    params;
-    server_params sparams;
+    gpt_params params;
+
+    if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
+        return 1;
+    }
+
+    // TODO: not great to use extern vars
+    server_log_json = params.log_json;
+    server_verbose = params.verbose;
 
     // struct that contains llama context and inference
     server_context ctx_server;
 
-    server_params_parse(argc, argv, sparams, params);
-
-    if (!sparams.system_prompt.empty()) {
-        ctx_server.system_prompt_set(sparams.system_prompt);
+    if (!params.system_prompt.empty()) {
+        ctx_server.system_prompt_set(params.system_prompt);
     }
 
     if (params.model_alias == "unknown") {
@@ -2939,10 +2390,10 @@ int main(int argc, char ** argv) {
 
     std::unique_ptr<httplib::Server> svr;
 #ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-    if (sparams.ssl_key_file != "" && sparams.ssl_cert_file != "") {
-        LOG_INFO("Running with SSL", {{"key", sparams.ssl_key_file}, {"cert", sparams.ssl_cert_file}});
+    if (params.ssl_file_key != "" && params.ssl_file_cert != "") {
+        LOG_INFO("Running with SSL", {{"key", params.ssl_file_key}, {"cert", params.ssl_file_cert}});
         svr.reset(
-            new httplib::SSLServer(sparams.ssl_cert_file.c_str(), sparams.ssl_key_file.c_str())
+            new httplib::SSLServer(params.ssl_file_cert.c_str(), params.ssl_file_key.c_str())
         );
     } else {
         LOG_INFO("Running without SSL", {});
@@ -2996,24 +2447,24 @@ int main(int argc, char ** argv) {
     });
 
     // set timeouts and change hostname and port
-    svr->set_read_timeout (sparams.read_timeout);
-    svr->set_write_timeout(sparams.write_timeout);
+    svr->set_read_timeout (params.timeout_read);
+    svr->set_write_timeout(params.timeout_write);
 
-    if (!svr->bind_to_port(sparams.hostname, sparams.port)) {
-        fprintf(stderr, "\ncouldn't bind to server socket: hostname=%s port=%d\n\n", sparams.hostname.c_str(), sparams.port);
+    if (!svr->bind_to_port(params.hostname, params.port)) {
+        fprintf(stderr, "\ncouldn't bind to server socket: hostname=%s port=%d\n\n", params.hostname.c_str(), params.port);
         return 1;
     }
 
     std::unordered_map<std::string, std::string> log_data;
 
-    log_data["hostname"] = sparams.hostname;
-    log_data["port"]     = std::to_string(sparams.port);
+    log_data["hostname"] = params.hostname;
+    log_data["port"]     = std::to_string(params.port);
 
-    if (sparams.api_keys.size() == 1) {
-        auto key = sparams.api_keys[0];
+    if (params.api_keys.size() == 1) {
+        auto key = params.api_keys[0];
         log_data["api_key"] = "api_key: ****" + key.substr(std::max((int)(key.length() - 4), 0));
-    } else if (sparams.api_keys.size() > 1) {
-        log_data["api_key"] = "api_key: " + std::to_string(sparams.api_keys.size()) + " keys loaded";
+    } else if (params.api_keys.size() > 1) {
+        log_data["api_key"] = "api_key: " + std::to_string(params.api_keys.size()) + " keys loaded";
     }
 
     // load the model
@@ -3030,10 +2481,10 @@ int main(int argc, char ** argv) {
     const auto model_meta = ctx_server.model_meta();
 
     // if a custom chat template is not supplied, we will use the one that comes with the model (if any)
-    if (sparams.chat_template.empty()) {
+    if (params.chat_template.empty()) {
         if (!ctx_server.validate_model_chat_template()) {
             LOG_ERROR("The chat template that comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses", {});
-            sparams.chat_template = "chatml";
+            params.chat_template = "chatml";
         }
     }
 
@@ -3045,11 +2496,11 @@ int main(int argc, char ** argv) {
         chat.push_back({{"role", "assistant"}, {"content", "Hi there"}});
         chat.push_back({{"role", "user"},      {"content", "How are you?"}});
 
-        const std::string chat_example = format_chat(ctx_server.model, sparams.chat_template, chat);
+        const std::string chat_example = format_chat(ctx_server.model, params.chat_template, chat);
 
         LOG_INFO("chat template", {
             {"chat_example", chat_example},
-            {"built_in", sparams.chat_template.empty()},
+            {"built_in", params.chat_template.empty()},
         });
     }
 
@@ -3057,7 +2508,7 @@ int main(int argc, char ** argv) {
     // Middlewares
     //
 
-    auto middleware_validate_api_key = [&sparams, &res_error](const httplib::Request & req, httplib::Response & res) {
+    auto middleware_validate_api_key = [&params, &res_error](const httplib::Request & req, httplib::Response & res) {
         // TODO: should we apply API key to all endpoints, including "/health" and "/models"?
         static const std::set<std::string> protected_endpoints = {
             "/props",
@@ -3075,7 +2526,7 @@ int main(int argc, char ** argv) {
         };
 
         // If API key is not set, skip validation
-        if (sparams.api_keys.empty()) {
+        if (params.api_keys.empty()) {
             return true;
         }
 
@@ -3090,7 +2541,7 @@ int main(int argc, char ** argv) {
         std::string prefix = "Bearer ";
         if (auth_header.substr(0, prefix.size()) == prefix) {
             std::string received_api_key = auth_header.substr(prefix.size());
-            if (std::find(sparams.api_keys.begin(), sparams.api_keys.end(), received_api_key) != sparams.api_keys.end()) {
+            if (std::find(params.api_keys.begin(), params.api_keys.end(), received_api_key) != params.api_keys.end()) {
                 return true; // API key is valid
             }
         }
@@ -3145,7 +2596,7 @@ int main(int argc, char ** argv) {
                     };
 
                     res.status = 200; // HTTP OK
-                    if (sparams.slots_endpoint && req.has_param("include_slots")) {
+                    if (params.endpoint_slots && req.has_param("include_slots")) {
                         health["slots"] = result.data.at("slots");
                     }
 
@@ -3171,7 +2622,7 @@ int main(int argc, char ** argv) {
     };
 
     const auto handle_slots = [&](const httplib::Request &, httplib::Response & res) {
-        if (!sparams.slots_endpoint) {
+        if (!params.endpoint_slots) {
             res_error(res, format_error_response("This server does not support slots endpoint.", ERROR_TYPE_NOT_SUPPORTED));
             return;
         }
@@ -3195,7 +2646,7 @@ int main(int argc, char ** argv) {
     };
 
     const auto handle_metrics = [&](const httplib::Request &, httplib::Response & res) {
-        if (!sparams.metrics_endpoint) {
+        if (!params.endpoint_metrics) {
             res_error(res, format_error_response("This server does not support metrics endpoint.", ERROR_TYPE_NOT_SUPPORTED));
             return;
         }
@@ -3295,14 +2746,14 @@ int main(int argc, char ** argv) {
         res.status = 200; // HTTP OK
     };
 
-    const auto handle_slots_save = [&ctx_server, &res_error, &sparams](const httplib::Request & req, httplib::Response & res, int id_slot) {
+    const auto handle_slots_save = [&ctx_server, &res_error, &params](const httplib::Request & req, httplib::Response & res, int id_slot) {
         json request_data = json::parse(req.body);
         std::string filename = request_data.at("filename");
-        if (!validate_file_name(filename)) {
+        if (!fs_validate_filename(filename)) {
             res_error(res, format_error_response("Invalid filename", ERROR_TYPE_INVALID_REQUEST));
             return;
         }
-        std::string filepath = sparams.slot_save_path + filename;
+        std::string filepath = params.slot_save_path + filename;
 
         server_task task;
         task.type = SERVER_TASK_TYPE_SLOT_SAVE;
@@ -3325,14 +2776,14 @@ int main(int argc, char ** argv) {
         }
     };
 
-    const auto handle_slots_restore = [&ctx_server, &res_error, &sparams](const httplib::Request & req, httplib::Response & res, int id_slot) {
+    const auto handle_slots_restore = [&ctx_server, &res_error, &params](const httplib::Request & req, httplib::Response & res, int id_slot) {
         json request_data = json::parse(req.body);
         std::string filename = request_data.at("filename");
-        if (!validate_file_name(filename)) {
+        if (!fs_validate_filename(filename)) {
             res_error(res, format_error_response("Invalid filename", ERROR_TYPE_INVALID_REQUEST));
             return;
         }
-        std::string filepath = sparams.slot_save_path + filename;
+        std::string filepath = params.slot_save_path + filename;
 
         server_task task;
         task.type = SERVER_TASK_TYPE_SLOT_RESTORE;
@@ -3507,9 +2958,9 @@ int main(int argc, char ** argv) {
         res.set_content(models.dump(), "application/json; charset=utf-8");
     };
 
-    const auto handle_chat_completions = [&ctx_server, &sparams, &res_error](const httplib::Request & req, httplib::Response & res) {
+    const auto handle_chat_completions = [&ctx_server, &params, &res_error](const httplib::Request & req, httplib::Response & res) {
         res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
-        json data = oaicompat_completion_params_parse(ctx_server.model, json::parse(req.body), sparams.chat_template);
+        json data = oaicompat_completion_params_parse(ctx_server.model, json::parse(req.body), params.chat_template);
 
         const int id_task = ctx_server.queue_tasks.get_new_id();
 
@@ -3734,17 +3185,29 @@ int main(int argc, char ** argv) {
     //
 
     // register static assets routes
-    if (!sparams.public_path.empty()) {
+    if (!params.public_path.empty()) {
         // Set the base directory for serving static files
-        svr->set_base_dir(sparams.public_path);
+        svr->set_base_dir(params.public_path);
     }
 
     // using embedded static files
-    svr->Get("/", handle_static_file(index_html, index_html_len, "text/html; charset=utf-8"));
-    svr->Get("/index.js", handle_static_file(index_js, index_js_len, "text/javascript; charset=utf-8"));
-    svr->Get("/completion.js", handle_static_file(completion_js, completion_js_len, "text/javascript; charset=utf-8"));
-    svr->Get("/json-schema-to-grammar.mjs", handle_static_file(
-        json_schema_to_grammar_mjs, json_schema_to_grammar_mjs_len, "text/javascript; charset=utf-8"));
+    svr->Get("/",                           handle_static_file(index_html, index_html_len, "text/html; charset=utf-8"));
+    svr->Get("/index.js",                   handle_static_file(index_js, index_js_len, "text/javascript; charset=utf-8"));
+    svr->Get("/completion.js",              handle_static_file(completion_js, completion_js_len, "text/javascript; charset=utf-8"));
+    svr->Get("/json-schema-to-grammar.mjs", handle_static_file(json_schema_to_grammar_mjs, json_schema_to_grammar_mjs_len, "text/javascript; charset=utf-8"));
+
+    // add new-ui files
+    svr->Get("/colorthemes.css",       handle_static_file(colorthemes_css, colorthemes_css_len, "text/css; charset=utf-8"));
+    svr->Get("/style.css",             handle_static_file(style_css, style_css_len, "text/css; charset=utf-8"));
+    svr->Get("/theme-beeninorder.css", handle_static_file(theme_beeninorder_css, theme_beeninorder_css_len, "text/css; charset=utf-8"));
+    svr->Get("/theme-ketivah.css",     handle_static_file(theme_ketivah_css, theme_ketivah_css_len, "text/css; charset=utf-8"));
+    svr->Get("/theme-mangotango.css",  handle_static_file(theme_mangotango_css, theme_mangotango_css_len, "text/css; charset=utf-8"));
+    svr->Get("/theme-playground.css",  handle_static_file(theme_playground_css, theme_playground_css_len, "text/css; charset=utf-8"));
+    svr->Get("/theme-polarnight.css",  handle_static_file(theme_polarnight_css, theme_polarnight_css_len, "text/css; charset=utf-8"));
+    svr->Get("/theme-snowstorm.css",   handle_static_file(theme_snowstorm_css, theme_snowstorm_css_len, "text/css; charset=utf-8"));
+    svr->Get("/index-new.html",        handle_static_file(index_new_html, index_new_html_len, "text/html; charset=utf-8"));
+    svr->Get("/system-prompts.js",     handle_static_file(system_prompts_js, system_prompts_js_len, "text/javascript; charset=utf-8"));
+    svr->Get("/prompt-formats.js",     handle_static_file(prompt_formats_js, prompt_formats_js_len, "text/javascript; charset=utf-8"));
 
     // register API routes
     svr->Get ("/health",              handle_health);
@@ -3763,7 +3226,7 @@ int main(int argc, char ** argv) {
     svr->Post("/v1/embeddings",       handle_embeddings);
     svr->Post("/tokenize",            handle_tokenize);
     svr->Post("/detokenize",          handle_detokenize);
-    if (!sparams.slot_save_path.empty()) {
+    if (!params.slot_save_path.empty()) {
         // only enable slot endpoints if slot_save_path is set
         svr->Post("/slots/:id_slot",  handle_slots_action);
     }
@@ -3771,12 +3234,12 @@ int main(int argc, char ** argv) {
     //
     // Start the server
     //
-    if (sparams.n_threads_http < 1) {
+    if (params.n_threads_http < 1) {
         // +2 threads for monitoring endpoints
-        sparams.n_threads_http = std::max(params.n_parallel + 2, (int32_t) std::thread::hardware_concurrency() - 1);
+        params.n_threads_http = std::max(params.n_parallel + 2, (int32_t) std::thread::hardware_concurrency() - 1);
     }
-    log_data["n_threads_http"] =  std::to_string(sparams.n_threads_http);
-    svr->new_task_queue = [&sparams] { return new httplib::ThreadPool(sparams.n_threads_http); };
+    log_data["n_threads_http"] =  std::to_string(params.n_threads_http);
+    svr->new_task_queue = [&params] { return new httplib::ThreadPool(params.n_threads_http); };
 
     LOG_INFO("HTTP server listening", log_data);
 
diff --git a/examples/server/tests/features/results.feature b/examples/server/tests/features/results.feature
index aa0b8d0c6..e8e1b5414 100644
--- a/examples/server/tests/features/results.feature
+++ b/examples/server/tests/features/results.feature
@@ -13,6 +13,7 @@ Feature: Results
 
   Scenario Outline: consistent results with same seed
     Given <n_slots> slots
+    And   1.0 temperature
     Then  the server is starting
     Then  the server is healthy
 
@@ -26,10 +27,12 @@ Feature: Results
     Examples:
       | n_slots |
       | 1       |
-      | 2       |
+      # FIXME: unified KV cache nondeterminism
+      # | 2       |
 
   Scenario Outline: different results with different seed
     Given <n_slots> slots
+    And   1.0 temperature
     Then  the server is starting
     Then  the server is healthy
 
@@ -70,12 +73,46 @@ Feature: Results
     Then all predictions are equal
     Examples:
       | n_parallel | temp |
-      |  1         | 0.0  |
-      |  2         | 0.0  |
-      |  4         | 0.0  |
-      |  1         | 1.0  |
-      # FIXME: These tests fail on master. The problem seems to be the unified KV cache.
+      | 1          | 0.0  |
+      | 1          | 1.0  |
+      # FIXME: unified KV cache nondeterminism
       # See https://github.com/ggerganov/whisper.cpp/issues/1941#issuecomment-1986923227
-      # and https://github.com/ggerganov/llama.cpp/pull/6122#discussion_r1531405574 .
-      # |  2         | 1.0  |
-      # |  4         | 1.0  |
+      # and https://github.com/ggerganov/llama.cpp/pull/6122#discussion_r1531405574
+      # and https://github.com/ggerganov/llama.cpp/pull/7347 .
+      # | 2          | 0.0  |
+      # | 4          | 0.0  |
+      # | 2          | 1.0  |
+      # | 4          | 1.0  |
+
+  Scenario Outline: consistent token probs with same seed and prompt
+    Given <n_slots> slots
+    And   <n_kv> KV cache size
+    And   1.0 temperature
+    And   <n_predict> max tokens to predict
+    Then  the server is starting
+    Then  the server is healthy
+
+    Given 1 prompts "The meaning of life is" with seed 42
+    And   concurrent completion requests
+    # Then the server is busy # Not all slots will be utilized.
+    Then  the server is idle
+    And   all slots are idle
+
+    Given <n_parallel> prompts "The meaning of life is" with seed 42
+    And   concurrent completion requests
+    # Then the server is busy # Not all slots will be utilized.
+    Then the server is idle
+    And  all slots are idle
+
+    Then all token probabilities are equal
+    Examples:
+      | n_slots | n_kv | n_predict | n_parallel |
+      | 4       | 1024 | 1         | 1          |
+      # FIXME: unified KV cache nondeterminism
+      # See https://github.com/ggerganov/whisper.cpp/issues/1941#issuecomment-1986923227
+      # and https://github.com/ggerganov/llama.cpp/pull/6122#discussion_r1531405574
+      # and https://github.com/ggerganov/llama.cpp/pull/7347 .
+      # | 4       | 1024 | 1         | 4          |
+      # | 4       | 1024 | 100       | 1          |
+      # This test still fails even the above patches; the first token probabilities are already different.
+      # | 4       | 1024 | 100       | 4          |
diff --git a/examples/server/tests/features/steps/steps.py b/examples/server/tests/features/steps/steps.py
index 577b87af3..26d9359d7 100644
--- a/examples/server/tests/features/steps/steps.py
+++ b/examples/server/tests/features/steps/steps.py
@@ -23,6 +23,7 @@ from prometheus_client import parser
 def step_server_config(context, server_fqdn, server_port):
     context.server_fqdn = server_fqdn
     context.server_port = int(server_port)
+    context.n_threads = None
     context.n_gpu_layer = None
     if 'PORT' in os.environ:
         context.server_port = int(os.environ['PORT'])
@@ -109,6 +110,11 @@ def step_n_gpu_layer(context, ngl):
     context.n_gpu_layer = ngl
 
 
+@step('{n_threads:d} threads')
+def step_n_threads(context, n_threads):
+    context.n_thread = n_threads
+
+
 @step('{draft:d} as draft')
 def step_draft(context, draft):
     context.draft = draft
@@ -193,7 +199,7 @@ async def step_wait_for_the_server_to_be_started(context, expecting_status):
 
         case 'ready' | 'idle':
             await wait_for_health_status(context, context.base_url, 200, 'ok',
-                                         timeout=10,
+                                         timeout=30,
                                          params={'fail_on_no_slot': 0, 'include_slots': 0},
                                          slots_idle=context.n_slots,
                                          slots_processing=0,
@@ -274,13 +280,22 @@ async def step_predictions_equal(context):
 
 @step('all predictions are different')
 @async_run_until_complete
-async def step_predictions_equal(context):
+async def step_predictions_different(context):
     n_completions = await gather_tasks_results(context)
     assert n_completions >= 2, "need at least 2 completions"
     assert_all_predictions_different(context.tasks_result)
     context.tasks_result = []
 
 
+@step('all token probabilities are equal')
+@async_run_until_complete
+async def step_token_probabilities_equal(context):
+    n_completions = await gather_tasks_results(context)
+    assert n_completions >= 2, "need at least 2 completions"
+    assert_all_token_probabilities_equal(context.tasks_result)
+    context.tasks_result = []
+
+
 @step('the completion is  truncated')
 def step_assert_completion_truncated(context):
     step_assert_completion_truncated(context, '')
@@ -868,7 +883,8 @@ async def request_completion(prompt,
                                     "cache_prompt": cache_prompt,
                                     "id_slot": id_slot,
                                     "seed": seed if seed is not None else 42,
-                                    "temperature": temperature if temperature is not None else "0.8f",
+                                    "temperature": temperature if temperature is not None else 0.8,
+                                    "n_probs": 2,
                                 },
                                 headers=headers,
                                 timeout=3600) as response:
@@ -1123,6 +1139,23 @@ def assert_all_predictions_different(completion_responses):
         assert content_i != content_j, "contents not different"
 
 
+def assert_all_token_probabilities_equal(completion_responses):
+    n_predict = len(completion_responses[0]['completion_probabilities'])
+    if 'DEBUG' in os.environ and os.environ['DEBUG'] == 'ON':
+        for pos in range(n_predict):
+            for i, response_i in enumerate(completion_responses):
+                probs_i = response_i['completion_probabilities'][pos]['probs']
+                print(f"pos {pos}, probs {i}: {probs_i}")
+    for pos in range(n_predict):
+        for i, response_i in enumerate(completion_responses):
+            probs_i = response_i['completion_probabilities'][pos]['probs']
+            for j, response_j in enumerate(completion_responses):
+                if i == j:
+                    continue
+                probs_j = response_j['completion_probabilities'][pos]['probs']
+            assert probs_i == probs_j, "contents not equal"
+
+
 async def gather_tasks_results(context):
     n_tasks = len(context.concurrent_tasks)
     if context.debug:
@@ -1261,6 +1294,8 @@ def start_server_background(context):
         server_args.extend(['--batch-size', context.n_batch])
     if context.n_ubatch:
         server_args.extend(['--ubatch-size', context.n_ubatch])
+    if context.n_threads:
+        server_args.extend(['--threads', context.threads])
     if context.n_gpu_layer:
         server_args.extend(['--n-gpu-layers', context.n_gpu_layer])
     if context.draft is not None:
diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp
index d8a2286e4..b7bfb41d3 100644
--- a/examples/server/utils.hpp
+++ b/examples/server/utils.hpp
@@ -116,13 +116,6 @@ static inline void server_log(const char * level, const char * function, int lin
 // chat template utils
 //
 
-// Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid
-inline bool verify_custom_template(const std::string & tmpl) {
-    llama_chat_message chat[] = {{"user", "test"}};
-    int res = llama_chat_apply_template(nullptr, tmpl.c_str(), chat, 1, true, nullptr, 0);
-    return res >= 0;
-}
-
 // Format given chat. If tmpl is empty, we take the template from model metadata
 inline std::string format_chat(const struct llama_model * model, const std::string & tmpl, const std::vector<json> & messages) {
     size_t alloc_size = 0;
diff --git a/examples/simple/README.md b/examples/simple/README.md
index 5d24b1046..49e24501c 100644
--- a/examples/simple/README.md
+++ b/examples/simple/README.md
@@ -3,7 +3,7 @@
 The purpose of this example is to demonstrate a minimal usage of llama.cpp for generating text with a given prompt.
 
 ```bash
-./simple ./models/llama-7b-v2/ggml-model-f16.gguf "Hello my name is"
+./simple -m ./models/llama-7b-v2/ggml-model-f16.gguf -p "Hello my name is"
 
 ...
 
diff --git a/examples/simple/simple.cpp b/examples/simple/simple.cpp
index b0f8e0fdc..69a92cf7d 100644
--- a/examples/simple/simple.cpp
+++ b/examples/simple/simple.cpp
@@ -6,28 +6,27 @@
 #include <string>
 #include <vector>
 
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
+
+    LOG_TEE("\nexample usage:\n");
+    LOG_TEE("\n    %s -m model.gguf -p \"Hello my name is\" -n 32\n", argv[0]);
+    LOG_TEE("\n");
+}
+
 int main(int argc, char ** argv) {
     gpt_params params;
 
-    if (argc == 1 || argv[1][0] == '-') {
-        printf("usage: %s MODEL_PATH [PROMPT]\n" , argv[0]);
-        return 1 ;
-    }
+    params.prompt = "Hello my name is";
+    params.n_predict = 32;
 
-    if (argc >= 2) {
-        params.model = argv[1];
-    }
-
-    if (argc >= 3) {
-        params.prompt = argv[2];
-    }
-
-    if (params.prompt.empty()) {
-        params.prompt = "Hello my name is";
+    if (!gpt_params_parse(argc, argv, params)) {
+        print_usage(argc, argv, params);
+        return 1;
     }
 
     // total length of the sequence including the prompt
-    const int n_len = 32;
+    const int n_predict = params.n_predict;
 
     // init LLM
 
@@ -36,9 +35,7 @@ int main(int argc, char ** argv) {
 
     // initialize the model
 
-    llama_model_params model_params = llama_model_default_params();
-
-    // model_params.n_gpu_layers = 99; // offload all layers to the GPU
+    llama_model_params model_params = llama_model_params_from_gpt_params(params);
 
     llama_model * model = llama_load_model_from_file(params.model.c_str(), model_params);
 
@@ -49,12 +46,7 @@ int main(int argc, char ** argv) {
 
     // initialize the context
 
-    llama_context_params ctx_params = llama_context_default_params();
-
-    ctx_params.seed  = 1234;
-    ctx_params.n_ctx = 2048;
-    ctx_params.n_threads = params.n_threads;
-    ctx_params.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch;
+    llama_context_params ctx_params = llama_context_params_from_gpt_params(params);
 
     llama_context * ctx = llama_new_context_with_model(model, ctx_params);
 
@@ -69,14 +61,14 @@ int main(int argc, char ** argv) {
     tokens_list = ::llama_tokenize(ctx, params.prompt, true);
 
     const int n_ctx    = llama_n_ctx(ctx);
-    const int n_kv_req = tokens_list.size() + (n_len - tokens_list.size());
+    const int n_kv_req = tokens_list.size() + (n_predict - tokens_list.size());
 
-    LOG_TEE("\n%s: n_len = %d, n_ctx = %d, n_kv_req = %d\n", __func__, n_len, n_ctx, n_kv_req);
+    LOG_TEE("\n%s: n_predict = %d, n_ctx = %d, n_kv_req = %d\n", __func__, n_predict, n_ctx, n_kv_req);
 
     // make sure the KV cache is big enough to hold all the prompt and generated tokens
     if (n_kv_req > n_ctx) {
         LOG_TEE("%s: error: n_kv_req > n_ctx, the required KV cache size is not big enough\n", __func__);
-        LOG_TEE("%s:        either reduce n_len or increase n_ctx\n", __func__);
+        LOG_TEE("%s:        either reduce n_predict or increase n_ctx\n", __func__);
         return 1;
     }
 
@@ -115,7 +107,7 @@ int main(int argc, char ** argv) {
 
     const auto t_main_start = ggml_time_us();
 
-    while (n_cur <= n_len) {
+    while (n_cur <= n_predict) {
         // sample the next token
         {
             auto   n_vocab = llama_n_vocab(model);
@@ -134,7 +126,7 @@ int main(int argc, char ** argv) {
             const llama_token new_token_id = llama_sample_token_greedy(ctx, &candidates_p);
 
             // is it an end of generation?
-            if (llama_token_is_eog(model, new_token_id) || n_cur == n_len) {
+            if (llama_token_is_eog(model, new_token_id) || n_cur == n_predict) {
                 LOG_TEE("\n");
 
                 break;
diff --git a/examples/speculative/speculative.cpp b/examples/speculative/speculative.cpp
index 12e46fbc9..0939a1a6a 100644
--- a/examples/speculative/speculative.cpp
+++ b/examples/speculative/speculative.cpp
@@ -27,7 +27,8 @@ struct seq_draft {
 int main(int argc, char ** argv) {
     gpt_params params;
 
-    if (gpt_params_parse(argc, argv, params) == false) {
+    if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
diff --git a/examples/sycl/win-build-sycl.bat b/examples/sycl/win-build-sycl.bat
index 1b0dc41ba..b8037aae8 100644
--- a/examples/sycl/win-build-sycl.bat
+++ b/examples/sycl/win-build-sycl.bat
@@ -13,10 +13,10 @@ if %errorlevel% neq 0 goto ERROR
 
 ::  for FP16
 ::  faster for long-prompt inference
-::  cmake -G "MinGW Makefiles" ..  -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx  -DCMAKE_BUILD_TYPE=Release -DLLAMA_SYCL_F16=ON
+::  cmake -G "MinGW Makefiles" ..  -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DLLAMA_SYCL_F16=ON
 
 ::  for FP32
-cmake -G "MinGW Makefiles" ..  -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx  -DCMAKE_BUILD_TYPE=Release
+cmake -G "MinGW Makefiles" ..  -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release
 if %errorlevel% neq 0 goto ERROR
 ::  build example/main only
 ::  make main
diff --git a/examples/tokenize/tokenize.cpp b/examples/tokenize/tokenize.cpp
index 8b1baea80..54c9834af 100644
--- a/examples/tokenize/tokenize.cpp
+++ b/examples/tokenize/tokenize.cpp
@@ -3,40 +3,390 @@
 
 #include <cmath>
 #include <cstdio>
+#include <fstream>
 #include <string>
 #include <vector>
 
-int main(int argc, char ** argv) {
-    if (argc < 3 || argv[1][0] == '-') {
-        printf("usage: %s MODEL_PATH PROMPT [--ids]\n" , argv[0]);
+#if defined(_WIN32)
+#define WIN32_LEAN_AND_MEAN
+#include <windows.h>
+#include <shellapi.h>   // For CommandLineToArgvW
+#endif
+
+static void print_usage_information(const char * argv0, FILE * stream) {
+    fprintf(stream, "usage: %s [options]\n\n", argv0);
+    fprintf(stream, "The tokenize program tokenizes a prompt using a given model,\n");
+    fprintf(stream, "and prints the resulting tokens to standard output.\n\n");
+    fprintf(stream, "It needs a model file, a prompt, and optionally other flags\n");
+    fprintf(stream, "to control the behavior of the tokenizer.\n\n");
+    fprintf(stream, "    The possible options are:\n");
+    fprintf(stream, "\n");
+    fprintf(stream, "    -h, --help                           print this help and exit\n");
+    fprintf(stream, "    -m MODEL_PATH, --model MODEL_PATH    path to model.\n");
+    fprintf(stream, "    --ids                                if given, only print numerical token IDs, and not token strings.\n");
+    fprintf(stream, "                                         The output format looks like [1, 2, 3], i.e. parseable by Python.\n");
+    fprintf(stream, "    -f PROMPT_FNAME, --file PROMPT_FNAME read prompt from a file.\n");
+    fprintf(stream, "    -p PROMPT, --prompt PROMPT           read prompt from the argument.\n");
+    fprintf(stream, "    --stdin                              read prompt from standard input.\n");
+    fprintf(stream, "    --no-bos                             do not ever add a BOS token to the prompt, even if normally the model uses a BOS token.\n");
+    fprintf(stream, "    --log-disable                        disable logs. Makes stderr quiet when loading the model.\n");
+}
+
+static void llama_log_callback_null(ggml_log_level level, const char * text, void * user_data) {
+    (void) level;
+    (void) text;
+    (void) user_data;
+}
+
+static std::string read_prompt_from_file(const char * filepath, bool & success) {
+    success = false;
+
+    std::ifstream in(filepath, std::ios::binary);
+    if (!in) {
+        fprintf(stderr, "%s: could not open file '%s' for reading: %s\n", __func__, filepath, strerror(errno));
+        return std::string();
+    }
+    // do not assume the file is seekable (e.g. /dev/stdin)
+    std::stringstream buffer;
+    buffer << in.rdbuf();
+    if (in.fail()) {
+        fprintf(stderr, "%s: could not read the entire file '%s': %s\n", __func__, filepath, strerror(errno));
+        return std::string();
+    }
+
+    success = true;
+    return buffer.str();
+}
+
+//
+// Function: ingest_args(...) -> vector<string>
+//
+//  Takes argc and argv arguments, and converts them to a vector of UTF-8 encoded
+//  strings, as an STL vector<string>.
+//
+//  In particular, it handles character encoding shenanigans on Windows.
+//
+// Note: raw_argc and raw_argv are not actually read at all on Windows.
+//       On Windows we call GetCommandLineW to get the arguments in wchar_t
+//       format, ignoring the regular argc/argv arguments to main().
+//
+// TODO: potential opportunity to roll common stuff into common/console.cpp
+//       in relation to Windows wchar_t shenanigans.
+static std::vector<std::string> ingest_args(int raw_argc, char ** raw_argv) {
+    std::vector<std::string> argv;
+
+    // Handle Windows, if given non-ASCII arguments.
+    // We convert wchar_t arguments into UTF-8 char* on this platform.
+    // Lets you invoke 'tokenize' on Windows cmd.exe with non-ASCII characters
+    // without throwing tantrums.
+#if defined(_WIN32)
+    int argc;
+    const LPWSTR cmdline_wargv = GetCommandLineW();
+    LPWSTR * wargv = CommandLineToArgvW(cmdline_wargv, &argc);
+
+    // silence unused arg warnings
+    (void) raw_argc;
+    (void) raw_argv;
+
+    for (int i = 0; i < argc; ++i) {
+        int length_needed = WideCharToMultiByte(CP_UTF8, 0, wargv[i], wcslen(wargv[i]), 0, 0, NULL, NULL);
+        char * output_buf = (char *) calloc(length_needed+1, sizeof(char));
+        GGML_ASSERT(output_buf);
+
+        WideCharToMultiByte(CP_UTF8, 0, wargv[i], wcslen(wargv[i]), output_buf, length_needed, NULL, NULL);
+        output_buf[length_needed] = '\0';
+
+        argv.push_back(output_buf);
+        free(output_buf);
+    }
+
+    LocalFree((HLOCAL) wargv);
+#else
+    int argc = raw_argc;
+    for (int i = 0; i < argc; ++i) {
+        argv.push_back(raw_argv[i]);
+    }
+#endif
+
+    GGML_ASSERT((unsigned int) argc == argv.size());
+
+    return argv;
+}
+
+//
+// Function: write_utf8_cstr_to_stdout(const char *) -> <writes to stdout>
+//
+// writes a string to standard output; taking into account that on Windows
+// to display correctly you have to use special handling. Works even if the
+// user has not set a unicode code page on a Windows cmd.exe.
+//
+// In case of invalid UTF-8, invalid_utf8 is set to true on Windows, and something
+// a human-readable is written instead.
+//
+// On non-Windows systems, simply printfs() the string.
+static void write_utf8_cstr_to_stdout(const char * str, bool & invalid_utf8) {
+        invalid_utf8 = false;
+
+#if defined(_WIN32)
+        // Are we in a console?
+        HANDLE hConsole = GetStdHandle(STD_OUTPUT_HANDLE);
+        DWORD dwMode = 0;
+
+        // According to Microsoft docs:
+        // "WriteConsole fails if it is used with a standard handle that is redirected to a file."
+        // Also according to the docs, you can use GetConsoleMode to check for that.
+        if (hConsole == INVALID_HANDLE_VALUE || !GetConsoleMode(hConsole, &dwMode)) {
+            printf("%s", str);
+            return;
+        }
+
+        // MultiByteToWideChar reports an error if str is empty, don't report
+        // them as invalid_utf8.
+        if (*str == 0) {
+            return;
+        }
+        int length_needed = MultiByteToWideChar(CP_UTF8, MB_ERR_INVALID_CHARS, str, strlen(str), NULL, 0);
+        if (length_needed == 0) {
+            DWORD err = GetLastError();
+            if (err == ERROR_NO_UNICODE_TRANSLATION) {
+                invalid_utf8 = true;
+                int len = strlen(str);
+                printf("<");
+                for (int i = 0; i < len; ++i) {
+                    if (i > 0) {
+                        printf(" ");
+                    }
+                    printf("%02x", (uint8_t) str[i]);
+                }
+                printf(">");
+                return;
+            }
+            GGML_ASSERT(false && "MultiByteToWideChar() failed in an unexpected way.");
+        }
+
+        LPWSTR wstr = (LPWSTR) calloc(length_needed+1, sizeof(*wstr));
+        GGML_ASSERT(wstr);
+
+        MultiByteToWideChar(CP_UTF8, 0, str, strlen(str), wstr, length_needed);
+        WriteConsoleW(hConsole, wstr, length_needed, NULL, NULL);
+
+        free(wstr);
+#else
+        // TODO: reporting invalid_utf8 would be useful on non-Windows too.
+        // printf will silently just write bad unicode.
+        printf("%s", str);
+#endif
+}
+
+int main(int raw_argc, char ** raw_argv) {
+    const std::vector<std::string> argv = ingest_args(raw_argc, raw_argv);
+    const int argc = argv.size();
+
+    if (argc <= 1) {
+        print_usage_information(argv[0].c_str(), stderr);
         return 1;
     }
 
-    const char * model_path = argv[1];
-    const char * prompt     = argv[2];
+    //////
+    // Read out all the command line arguments.
+    //////
 
-    const bool printing_ids = argc > 3 && std::string(argv[3]) == "--ids";
+    // variables where to put any arguments we see.
+    bool printing_ids = false;
+    bool no_bos = false;
+    bool disable_logging = false;
+    const char * model_path = NULL;
+    const char * prompt_path = NULL;
+    const char * prompt_arg = NULL;
+
+    // track which arguments were explicitly given
+    // used for sanity checking down the line
+    bool model_path_set = false;
+    bool prompt_path_set = false;
+    bool prompt_set = false;
+    bool stdin_set = false;
+
+    int iarg = 1;
+    for (; iarg < argc; ++iarg) {
+        std::string arg{argv[iarg]};
+        if (arg == "-h" || arg == "--help") {
+            print_usage_information(argv[0].c_str(), stdout);
+            return 0;
+        }
+        else if (arg == "--ids") {
+            printing_ids = true;
+        }
+        else if (arg == "-m" || arg == "--model") {
+            if (model_path_set) {
+                fprintf(stderr, "Error: -m or --model specified multiple times.\n");
+                return 1;
+            }
+            model_path = argv[++iarg].c_str();
+            model_path_set = true;
+        }
+        else if (arg == "--no-bos") {
+            no_bos = true;
+        }
+        else if (arg == "-p" || arg == "--prompt") {
+            if (prompt_set) {
+                fprintf(stderr, "Error: -p or --prompt specified multiple times.\n");
+                return 1;
+            }
+            prompt_arg = argv[++iarg].c_str();
+            prompt_set = true;
+        }
+        else if (arg == "-f" || arg == "--file") {
+            if (prompt_path_set) {
+                fprintf(stderr, "Error: -f or --file specified multiple times.\n");
+                return 1;
+            }
+            prompt_path = argv[++iarg].c_str();
+            prompt_path_set = true;
+        }
+        else if (arg == "--stdin") {
+            stdin_set = true;
+        }
+        else if (arg == "--log-disable") {
+            disable_logging = true;
+        }
+        else {
+            fprintf(stderr, "Error: unknown option '%s'\n", argv[iarg].c_str());
+            return 1;
+        }
+    }
+
+    //////
+    // Sanity check the command line arguments.
+    //////
+
+    // Check that we have the required stuff set.
+    if (model_path_set && model_path == NULL) {
+        fprintf(stderr, "Error: --model requires an argument.\n");
+        return 1;
+    }
+    if (!model_path_set) {
+        fprintf(stderr, "Error: must specify --model.\n");
+        return 1;
+    }
+    if (prompt_path_set && prompt_path == NULL) {
+        fprintf(stderr, "Error: --file requires an argument.\n");
+        return 1;
+    }
+    if (prompt_set && prompt_arg == NULL) {
+        fprintf(stderr, "Error: --prompt requires an argument.\n");
+        return 1;
+    }
+    const int prompts_set = !!(prompt_path_set) + !!(prompt_set) + !!(stdin_set);
+    if (prompts_set > 1) {
+        fprintf(stderr, "Error: --stdin, --file and --prompt are mutually exclusive.\n");
+        return 1;
+    }
+    // Must have some prompt.
+    if (prompts_set == 0) {
+        fprintf(stderr, "Error: must specify one of: --stdin, --file or --prompt.\n");
+        return 1;
+    }
+
+    GGML_ASSERT(model_path);
+    GGML_ASSERT(prompt_path || prompt_arg || stdin_set);
+
+    //////
+    // Figure out where will the prompt come from.
+    //////
+
+    std::string prompt;
+    if (prompt_path_set) {
+        bool success = false;
+        prompt = read_prompt_from_file(prompt_path, success);
+        if (!success) {
+            return 1;
+        }
+    } else if (prompt_set) {
+        prompt = prompt_arg;
+    } else {
+        GGML_ASSERT(stdin_set);
+        // we read stdin *after* loading model (early exit if model cannot
+        // be loaded, which can be a nicer user experience)
+    }
+
+    //////
+    // Start actually doing the tokenizing stuff.
+    //////
+
+#ifdef LOG_DISABLE_LOGS
+    disable_logging = true;
+#endif
+
+    if (disable_logging) {
+        llama_log_set(llama_log_callback_null, NULL);
+    }
 
     llama_backend_init();
 
     llama_model_params model_params = llama_model_default_params();
     model_params.vocab_only = true;
     llama_model * model = llama_load_model_from_file(model_path, model_params);
+    if (!model) {
+        fprintf(stderr, "Error: could not load model from file '%s'.\n", model_path);
+        return 1;
+    }
 
     llama_context_params ctx_params = llama_context_default_params();
     llama_context * ctx = llama_new_context_with_model(model, ctx_params);
+    if (!ctx) {
+        fprintf(stderr, "Error: could not create context.\n");
+        return 1;
+    }
+
+    // read entire prompt from stdin?
+    if (stdin_set) {
+        GGML_ASSERT(!prompt_path_set && !prompt_set);
+
+        std::stringstream stdin_buffer;
+        stdin_buffer << std::cin.rdbuf();
+        if (std::cin.fail()) {
+            fprintf(stderr, "Error: could not read the entire standard input.\n");
+            return 1;
+        }
+
+        prompt = stdin_buffer.str();
+    }
+
+    const bool model_wants_add_bos = llama_should_add_bos_token(model);
+    const bool add_bos = model_wants_add_bos && !no_bos;
 
     std::vector<llama_token> tokens;
+    tokens = ::llama_tokenize(model, prompt, add_bos, true);
 
-    tokens = ::llama_tokenize(model, prompt, true, true);
+    if (printing_ids) {
+        printf("[");
+    }
 
     for (int i = 0; i < (int) tokens.size(); i++) {
         if (printing_ids) {
-            printf("%d\n", tokens[i]);
+            if (i > 0) {
+                printf(", ");
+            }
+            printf("%d", tokens[i]);
         } else {
-            printf("%6d -> '%s'\n", tokens[i], llama_token_to_piece(ctx, tokens[i]).c_str());
+            bool invalid_utf8 = false;
+            printf("%6d -> '", tokens[i]);
+            write_utf8_cstr_to_stdout(llama_token_to_piece(ctx, tokens[i]).c_str(), invalid_utf8);
+            if (invalid_utf8) {
+                printf("' (utf-8 decode failure)\n");
+            } else {
+                printf("'\n");
+            }
         }
     }
 
+    if (printing_ids) {
+        printf("]\n");
+    }
+
+    // silence valgrind
+    llama_free(ctx);
+    llama_free_model(model);
+
     return 0;
 }
diff --git a/examples/train-text-from-scratch/train-text-from-scratch.cpp b/examples/train-text-from-scratch/train-text-from-scratch.cpp
index 587418cc7..b779f6bd4 100644
--- a/examples/train-text-from-scratch/train-text-from-scratch.cpp
+++ b/examples/train-text-from-scratch/train-text-from-scratch.cpp
@@ -301,8 +301,8 @@ static struct ggml_tensor * llama_build_train_graphs(
         // not capturing these, to silcence warnings
         const int rope_mode = 0;
 
-        return ggml_rope_custom(
-            ctx, t, KQ_pos, n_rot, rope_mode, n_ctx, 0, rope_freq_base, rope_freq_scale, 0.0f, 1.0f, 0.0f, 0.0f
+        return ggml_rope_ext(
+            ctx, t, KQ_pos, nullptr, n_rot, rope_mode, n_ctx, rope_freq_base, rope_freq_scale, 0.0f, 1.0f, 0.0f, 0.0f
         );
     };
 
@@ -341,7 +341,8 @@ static struct ggml_tensor * llama_build_train_graphs(
         struct ggml_tensor * t15 = ggml_permute      (ctx, t12, 0, 3, 1, 2);                        set_name(t15, "t15");     assert_shape_4d(t15, N, n_embd/n_head, n_head, n_batch);
         struct ggml_tensor * t16;
         if (enable_flash_attn) {
-            t16 = ggml_flash_attn(ctx, t13, t14, t15, true);                                        set_name(t16, "t16");     assert_shape_4d(t16, n_embd/n_head, N, n_head, n_batch);
+            GGML_ASSERT(false && "TODO: ggml_flash_attn_ext() not yet supported");
+            //t16 = ggml_flash_attn(ctx, t13, t14, t15, true);                                        set_name(t16, "t16");     assert_shape_4d(t16, n_embd/n_head, N, n_head, n_batch);
         } else {
             struct ggml_tensor * t16_0 = ggml_mul_mat              (ctx, t14, t13);                 set_name(t16_0, "t16_0"); assert_shape_4d(t16_0, N, N, n_head, n_batch);
             struct ggml_tensor * t16_1 = ggml_scale_inplace        (ctx, t16_0, kv_scale);          set_name(t16_1, "t16_1"); assert_shape_4d(t16_1, N, N, n_head, n_batch);
diff --git a/flake.lock b/flake.lock
index c9ead0bf7..09047ab10 100644
--- a/flake.lock
+++ b/flake.lock
@@ -5,11 +5,11 @@
         "nixpkgs-lib": "nixpkgs-lib"
       },
       "locked": {
-        "lastModified": 1714641030,
-        "narHash": "sha256-yzcRNDoyVP7+SCNX0wmuDju1NUCt8Dz9+lyUXEI0dbI=",
+        "lastModified": 1717285511,
+        "narHash": "sha256-iKzJcpdXih14qYVcZ9QC9XuZYnPc6T8YImb6dX166kw=",
         "owner": "hercules-ci",
         "repo": "flake-parts",
-        "rev": "e5d10a24b66c3ea8f150e47dfdb0416ab7c3390e",
+        "rev": "2a55567fcf15b1b1c7ed712a2c6fadaec7412ea8",
         "type": "github"
       },
       "original": {
@@ -20,11 +20,11 @@
     },
     "nixpkgs": {
       "locked": {
-        "lastModified": 1714635257,
-        "narHash": "sha256-4cPymbty65RvF1DWQfc+Bc8B233A1BWxJnNULJKQ1EY=",
+        "lastModified": 1716948383,
+        "narHash": "sha256-SzDKxseEcHR5KzPXLwsemyTR/kaM9whxeiJohbL04rs=",
         "owner": "NixOS",
         "repo": "nixpkgs",
-        "rev": "63c3a29ca82437c87573e4c6919b09a24ea61b0f",
+        "rev": "ad57eef4ef0659193044870c731987a6df5cf56b",
         "type": "github"
       },
       "original": {
@@ -36,14 +36,14 @@
     },
     "nixpkgs-lib": {
       "locked": {
-        "lastModified": 1714640452,
-        "narHash": "sha256-QBx10+k6JWz6u7VsohfSw8g8hjdBZEf8CFzXH1/1Z94=",
+        "lastModified": 1717284937,
+        "narHash": "sha256-lIbdfCsf8LMFloheeE6N31+BMIeixqyQWbSr2vk79EQ=",
         "type": "tarball",
-        "url": "https://github.com/NixOS/nixpkgs/archive/50eb7ecf4cd0a5756d7275c8ba36790e5bd53e33.tar.gz"
+        "url": "https://github.com/NixOS/nixpkgs/archive/eb9ceca17df2ea50a250b6b27f7bf6ab0186f198.tar.gz"
       },
       "original": {
         "type": "tarball",
-        "url": "https://github.com/NixOS/nixpkgs/archive/50eb7ecf4cd0a5756d7275c8ba36790e5bd53e33.tar.gz"
+        "url": "https://github.com/NixOS/nixpkgs/archive/eb9ceca17df2ea50a250b6b27f7bf6ab0186f198.tar.gz"
       }
     },
     "root": {
diff --git a/flake.nix b/flake.nix
index 9cd3756e5..0a52ea52e 100644
--- a/flake.nix
+++ b/flake.nix
@@ -159,7 +159,6 @@
                 windows = config.legacyPackages.llamaPackagesWindows.llama-cpp;
               }
               // lib.optionalAttrs pkgs.stdenv.isLinux {
-                opencl = config.packages.default.override { useOpenCL = true; };
                 cuda = config.legacyPackages.llamaPackagesCuda.llama-cpp;
 
                 mpi-cpu = config.packages.default.override { useMpi = true; };
diff --git a/ggml-alloc.c b/ggml-alloc.c
index 1fbd376ed..73a3c1575 100644
--- a/ggml-alloc.c
+++ b/ggml-alloc.c
@@ -377,7 +377,7 @@ ggml_gallocr_t ggml_gallocr_new_n(ggml_backend_buffer_type_t * bufts, int n_bufs
     galloc->bufts = calloc(n_bufs, sizeof(ggml_backend_buffer_type_t));
     GGML_ASSERT(galloc->bufts != NULL);
 
-    galloc->buffers = calloc(n_bufs, sizeof(ggml_backend_buffer_t) * n_bufs);
+    galloc->buffers = calloc(n_bufs, sizeof(ggml_backend_buffer_t));
     GGML_ASSERT(galloc->buffers != NULL);
 
     galloc->buf_tallocs = calloc(n_bufs, sizeof(struct ggml_dyn_tallocr *));
@@ -750,7 +750,7 @@ static void ggml_gallocr_init_tensor(ggml_gallocr_t galloc, struct ggml_tensor *
                 // this tensor was allocated without ggml-backend
                 return;
             }
-            ggml_backend_view_init(galloc->buffers[buffer_id], tensor);
+            ggml_backend_view_init(tensor);
         }
     } else {
         if (tensor->data == NULL) {
@@ -899,12 +899,12 @@ static bool alloc_tensor_range(struct ggml_context * ctx,
             if (t->view_src == NULL) {
                 ggml_tallocr_alloc(&tallocr, t);
             } else if (t->buffer == NULL) {
-                ggml_backend_view_init(buffer, t);
+                ggml_backend_view_init(t);
             }
         } else {
             if (t->view_src != NULL && t->buffer == NULL) {
                 // view of a pre-allocated tensor
-                ggml_backend_view_init(buffer, t);
+                ggml_backend_view_init(t);
             }
         }
     }
diff --git a/ggml-backend.c b/ggml-backend.c
index dd090a583..05737ed69 100644
--- a/ggml-backend.c
+++ b/ggml-backend.c
@@ -151,7 +151,7 @@ void ggml_backend_buffer_reset(ggml_backend_buffer_t buffer) {
 bool ggml_backend_buffer_copy_tensor(const struct ggml_tensor * src, struct ggml_tensor * dst) {
     ggml_backend_buffer_t dst_buf = dst->view_src ? dst->view_src->buffer : dst->buffer;
     if (dst_buf->iface.cpy_tensor) {
-        return src->buffer->iface.cpy_tensor(dst_buf, src, dst);
+        return dst_buf->iface.cpy_tensor(dst_buf, src, dst);
     }
     return false;
 }
@@ -1887,16 +1887,15 @@ ggml_backend_t ggml_backend_sched_get_tensor_backend(ggml_backend_sched_t sched,
 
 // utils
 
-void ggml_backend_view_init(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor) {
+void ggml_backend_view_init(struct ggml_tensor * tensor) {
     GGML_ASSERT(tensor->buffer == NULL);
     GGML_ASSERT(tensor->view_src != NULL);
     GGML_ASSERT(tensor->view_src->buffer != NULL);
     GGML_ASSERT(tensor->view_src->data != NULL);
 
-    tensor->buffer = buffer;
+    tensor->buffer = tensor->view_src->buffer;
     tensor->data = (char *)tensor->view_src->data + tensor->view_offs;
-    tensor->backend = tensor->view_src->backend;
-    ggml_backend_buffer_init_tensor(buffer, tensor);
+    ggml_backend_buffer_init_tensor(tensor->buffer, tensor);
 }
 
 void ggml_backend_tensor_alloc(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, void * addr) {
@@ -1955,7 +1954,7 @@ static void graph_copy_init_tensor(struct ggml_hash_set hash_set, struct ggml_te
     struct ggml_tensor * dst = node_copies[id];
     if (dst->view_src != NULL) {
         graph_copy_init_tensor(hash_set, node_copies, node_init, src->view_src);
-        ggml_backend_view_init(dst->view_src->buffer, dst);
+        ggml_backend_view_init(dst);
     }
     else {
         ggml_backend_tensor_copy(src, dst);
diff --git a/ggml-backend.h b/ggml-backend.h
index 744b6a774..c582b0685 100644
--- a/ggml-backend.h
+++ b/ggml-backend.h
@@ -225,7 +225,7 @@ extern "C" {
 
     // Tensor initialization
     GGML_API void ggml_backend_tensor_alloc(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, void * addr);
-    GGML_API void ggml_backend_view_init(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor);
+    GGML_API void ggml_backend_view_init(struct ggml_tensor * tensor);
 
 
 #ifdef  __cplusplus
diff --git a/ggml-common.h b/ggml-common.h
index 43c7978a0..77e6bfba4 100644
--- a/ggml-common.h
+++ b/ggml-common.h
@@ -65,13 +65,8 @@ typedef sycl::half2 ggml_half2;
 // QK = number of values after dequantization
 // QK_K = super-block size
 
-#ifdef GGML_QKK_64
-#define QK_K 64
-#define K_SCALE_SIZE 4
-#else
 #define QK_K 256
 #define K_SCALE_SIZE 12
-#endif // GGML_QKK_64
 
 #if defined(GGML_COMMON_DECL_CUDA) || defined(GGML_COMMON_DECL_HIP) || defined(GGML_COMMON_DECL_SYCL)
 // QR = QK / number of values before dequantization
@@ -131,13 +126,8 @@ typedef sycl::half2 ggml_half2;
 #define QI4_NL (QK4_NL / (4*QR4_NL))
 #define QR4_NL 2
 
-#if QK_K == 64
-#define QI4_XS QI4_NL
-#define QR4_XS QR4_NL
-#else
 #define QI4_XS (QK_K / (4*QR4_XS))
 #define QR4_XS 8
-#endif
 
 #endif // GGML_COMMON_DECL_CUDA || GGML_COMMON_DECL_HIP
 
@@ -228,15 +218,6 @@ static_assert(sizeof(block_q2_K) == 2*sizeof(ggml_half) + QK_K/16 + QK_K/4, "wro
 // weight is represented as x = a * q
 // 16 blocks of 16 elements each
 // Effectively 3.4375 bits per weight
-#ifdef GGML_QKK_64
-typedef struct {
-    uint8_t hmask[QK_K/8]; // quants - high bit
-    uint8_t qs[QK_K/4];    // quants - low 2 bits
-    uint8_t scales[2];
-    ggml_half d;           // super-block scale
-} block_q3_K;
-static_assert(sizeof(block_q3_K) == sizeof(ggml_half) + QK_K / 4 + QK_K / 8 + 2, "wrong q3_K block size/padding");
-#else
 typedef struct {
     uint8_t hmask[QK_K/8]; // quants - high bit
     uint8_t qs[QK_K/4];    // quants - low 2 bits
@@ -244,20 +225,11 @@ typedef struct {
     ggml_half d;           // super-block scale
 } block_q3_K;
 static_assert(sizeof(block_q3_K) == sizeof(ggml_half) + QK_K / 4 + QK_K / 8 + 12, "wrong q3_K block size/padding");
-#endif
 
 // 4-bit quantization
 // 8 blocks of 32 elements each
 // weight is represented as x = a * q + b
 // Effectively 4.5 bits per weight
-#ifdef GGML_QKK_64
-typedef struct {
-    ggml_half d[2];     // super-block scales/mins
-    uint8_t scales[2];  // 4-bit block scales/mins
-    uint8_t qs[QK_K/2]; // 4--bit quants
-} block_q4_K;
-static_assert(sizeof(block_q4_K) == 2*sizeof(ggml_half) + QK_K/2 + 2, "wrong q4_K block size/padding");
-#else
 typedef struct {
     union {
         struct {
@@ -270,21 +242,11 @@ typedef struct {
     uint8_t qs[QK_K/2];           // 4--bit quants
 } block_q4_K;
 static_assert(sizeof(block_q4_K) == 2*sizeof(ggml_half) + K_SCALE_SIZE + QK_K/2, "wrong q4_K block size/padding");
-#endif
 
 // 5-bit quantization
 // 8 blocks of 32 elements each
 // weight is represented as x = a * q + b
 // Effectively 5.5 bits per weight
-#ifdef GGML_QKK_64
-typedef struct {
-    ggml_half d;             // super-block scale
-    int8_t  scales[QK_K/16]; // 8-bit block scales
-    uint8_t qh[QK_K/8];      // quants, high bit
-    uint8_t qs[QK_K/2];      // quants, low 4 bits
-} block_q5_K;
-static_assert(sizeof(block_q5_K) == sizeof(ggml_half) + QK_K/2 + QK_K/8 + QK_K/16, "wrong q5_K block size/padding");
-#else
 typedef struct {
     union {
         struct {
@@ -298,7 +260,6 @@ typedef struct {
     uint8_t qs[QK_K/2];           // quants, low 4 bits
 } block_q5_K;
 static_assert(sizeof(block_q5_K) == 2*sizeof(ggml_half) + K_SCALE_SIZE + QK_K/2 + QK_K/8, "wrong q5_K block size/padding");
-#endif
 
 // 6-bit quantization
 // weight is represented as x = a * q
@@ -356,11 +317,7 @@ typedef struct {
 static_assert(sizeof(block_iq3_xxs) == sizeof(ggml_half) + 3*(QK_K/8), "wrong iq3_xxs block size/padding");
 
 // 3.4375 bpw
-#if QK_K == 64
-#define IQ3S_N_SCALE 2
-#else
 #define IQ3S_N_SCALE QK_K/64
-#endif
 typedef struct {
     ggml_half d;
     uint8_t qs[QK_K/4];
@@ -381,16 +338,9 @@ static_assert(sizeof(block_iq1_s) == sizeof(ggml_half) + QK_K/8 + QK_K/16, "wron
 typedef struct {
     uint8_t  qs[QK_K/8];      // grid index, low 8 bits
     uint8_t  qh[QK_K/16];     // grid index, high 3 bits + grid shift bit (for two groups of 8)
-#if QK_K == 64
-    ggml_half d;
-#endif
     uint8_t  scales[QK_K/32]; // 3-bit block scales (4-bit if QK_K == 64)
 } block_iq1_m;
-#if QK_K == 64
-static_assert(sizeof(block_iq1_m) == QK_K/8 + QK_K/16 + QK_K/32 + sizeof(ggml_half), "wrong iq1_m block size/padding");
-#else
 static_assert(sizeof(block_iq1_m) == QK_K/8 + QK_K/16 + QK_K/32, "wrong iq1_m block size/padding");
-#endif
 
 // Used by IQ1_M quants
 typedef union {
@@ -406,9 +356,6 @@ typedef struct {
 } block_iq4_nl;
 static_assert(sizeof(block_iq4_nl) == sizeof(ggml_half) + QK4_NL/2, "wrong iq4_nl block size/padding");
 
-#if QK_K == 64
-#define block_iq4_xs block_iq4_nl
-#else
 typedef struct {
     ggml_half d;
     uint16_t scales_h;
@@ -416,7 +363,6 @@ typedef struct {
     uint8_t  qs[QK_K/2];
 } block_iq4_xs;
 static_assert(sizeof(block_iq4_xs) == sizeof(ggml_half) + sizeof(uint16_t) + QK_K/64 + QK_K/2, "wrong iq4_xs block size/padding");
-#endif
 
 #endif // GGML_COMMON_DECL
 #endif // GGML_COMMON_DECL
diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index 75a2ad480..c81c6a0d7 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -43,19 +43,59 @@
 #include <mutex>
 #include <stdint.h>
 #include <stdio.h>
+#include <stdarg.h>
+#include <stdlib.h>
 #include <string>
 #include <vector>
 
 static_assert(sizeof(half) == sizeof(ggml_fp16_t), "wrong fp16 size");
 
+static void ggml_cuda_default_log_callback(enum ggml_log_level level, const char * msg, void * user_data) {
+    GGML_UNUSED(level);
+    GGML_UNUSED(user_data);
+    fprintf(stderr, "%s", msg);
+}
+
+ggml_log_callback ggml_cuda_log_callback = ggml_cuda_default_log_callback;
+void * ggml_cuda_log_user_data = NULL;
+
+GGML_API void ggml_backend_cuda_log_set_callback(ggml_log_callback log_callback, void * user_data) {
+    ggml_cuda_log_callback = log_callback;
+    ggml_cuda_log_user_data = user_data;
+}
+
+#define GGML_CUDA_LOG_INFO(...) ggml_cuda_log(GGML_LOG_LEVEL_INFO, __VA_ARGS__)
+#define GGML_CUDA_LOG_WARN(...) ggml_cuda_log(GGML_LOG_LEVEL_WARN, __VA_ARGS__)
+#define GGML_CUDA_LOG_ERROR(...) ggml_cuda_log(GGML_LOG_LEVEL_ERROR, __VA_ARGS__)
+
+GGML_ATTRIBUTE_FORMAT(2, 3)
+static void ggml_cuda_log(enum ggml_log_level level, const char * format, ...) {
+    if (ggml_cuda_log_callback != NULL) {
+        va_list args;
+        va_start(args, format);
+        char buffer[128];
+        int len = vsnprintf(buffer, 128, format, args);
+        if (len < 128) {
+            ggml_cuda_log_callback(level, buffer, ggml_cuda_log_user_data);
+        } else {
+            std::vector<char> buffer2(len + 1);  // vsnprintf adds a null terminator
+            va_end(args);
+            va_start(args, format);
+            vsnprintf(&buffer2[0], buffer2.size(), format, args);
+            ggml_cuda_log_callback(level, buffer2.data(), ggml_cuda_log_user_data);
+        }
+        va_end(args);
+    }
+}
+
 [[noreturn]]
 void ggml_cuda_error(const char * stmt, const char * func, const char * file, int line, const char * msg) {
     int id = -1; // in case cudaGetDevice fails
     cudaGetDevice(&id);
 
-    fprintf(stderr, "CUDA error: %s\n", msg);
-    fprintf(stderr, "  current device: %d, in function %s at %s:%d\n", id, func, file, line);
-    fprintf(stderr, "  %s\n", stmt);
+    GGML_CUDA_LOG_ERROR("CUDA error: %s\n", msg);
+    GGML_CUDA_LOG_ERROR("  current device: %d, in function %s at %s:%d\n", id, func, file, line);
+    GGML_CUDA_LOG_ERROR("  %s\n", stmt);
     // abort with GGML_ASSERT to get a stack trace
     GGML_ASSERT(!"CUDA error");
 }
@@ -79,6 +119,20 @@ int ggml_cuda_get_device() {
     return id;
 }
 
+static cudaError_t ggml_cuda_device_malloc(void ** ptr, size_t size, int device) {
+    ggml_cuda_set_device(device);
+#if defined(GGML_USE_HIPBLAS) && defined(GGML_HIP_UMA)
+    auto res = hipMallocManaged(ptr, size);
+    if (res == hipSuccess) {
+        // if error we "need" to know why...
+        CUDA_CHECK(hipMemAdvise(*ptr, size, hipMemAdviseSetCoarseGrain, device));
+    }
+    return res;
+#else
+    return cudaMalloc(ptr, size);
+#endif
+}
+
 static ggml_cuda_device_info ggml_cuda_init() {
 #ifdef __HIP_PLATFORM_AMD__
     // Workaround for a rocBLAS bug when using multiple graphics cards:
@@ -91,7 +145,7 @@ static ggml_cuda_device_info ggml_cuda_init() {
 
     cudaError_t err = cudaGetDeviceCount(&info.device_count);
     if (err != cudaSuccess) {
-        fprintf(stderr, "%s: failed to initialize " GGML_CUDA_NAME ": %s\n", __func__, cudaGetErrorString(err));
+        GGML_CUDA_LOG_ERROR("%s: failed to initialize " GGML_CUDA_NAME ": %s\n", __func__, cudaGetErrorString(err));
         return info;
     }
 
@@ -99,16 +153,16 @@ static ggml_cuda_device_info ggml_cuda_init() {
 
     int64_t total_vram = 0;
 #if defined(GGML_CUDA_FORCE_MMQ)
-    fprintf(stderr, "%s: GGML_CUDA_FORCE_MMQ:   yes\n", __func__);
+    GGML_CUDA_LOG_INFO("%s: GGML_CUDA_FORCE_MMQ:   yes\n", __func__);
 #else
-    fprintf(stderr, "%s: GGML_CUDA_FORCE_MMQ:   no\n", __func__);
+    GGML_CUDA_LOG_INFO("%s: GGML_CUDA_FORCE_MMQ:   no\n", __func__);
 #endif
 #if defined(CUDA_USE_TENSOR_CORES)
-    fprintf(stderr, "%s: CUDA_USE_TENSOR_CORES: yes\n", __func__);
+    GGML_CUDA_LOG_INFO("%s: CUDA_USE_TENSOR_CORES: yes\n", __func__);
 #else
-    fprintf(stderr, "%s: CUDA_USE_TENSOR_CORES: no\n", __func__);
+    GGML_CUDA_LOG_INFO("%s: CUDA_USE_TENSOR_CORES: no\n", __func__);
 #endif
-    fprintf(stderr, "%s: found %d " GGML_CUDA_NAME " devices:\n", __func__, info.device_count);
+    GGML_CUDA_LOG_INFO("%s: found %d " GGML_CUDA_NAME " devices:\n", __func__, info.device_count);
     for (int id = 0; id < info.device_count; ++id) {
         int device_vmm = 0;
 
@@ -129,7 +183,7 @@ static ggml_cuda_device_info ggml_cuda_init() {
 
         cudaDeviceProp prop;
         CUDA_CHECK(cudaGetDeviceProperties(&prop, id));
-        fprintf(stderr, "  Device %d: %s, compute capability %d.%d, VMM: %s\n", id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no");
+        GGML_CUDA_LOG_INFO("  Device %d: %s, compute capability %d.%d, VMM: %s\n", id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no");
 
         info.default_tensor_split[id] = total_vram;
         total_vram += prop.totalGlobalMem;
@@ -231,12 +285,12 @@ struct ggml_cuda_pool_leg : public ggml_cuda_pool {
         size_t look_ahead_size = (size_t) (1.05 * size);
         look_ahead_size = 256 * ((look_ahead_size + 255)/256);
         ggml_cuda_set_device(device);
-        CUDA_CHECK(cudaMalloc((void **) &ptr, look_ahead_size));
+        CUDA_CHECK(ggml_cuda_device_malloc(&ptr, look_ahead_size, device));
         *actual_size = look_ahead_size;
         pool_size += look_ahead_size;
 #ifdef DEBUG_CUDA_MALLOC
-        fprintf(stderr, "%s[%d]: %d buffers, max_size = %u MB, pool_size = %u MB, requested %u MB\n", __func__, device, nnz,
-                (uint32_t)(max_size/1024/1024), (uint32_t)(pool_size/1024/1024), (uint32_t)(size/1024/1024));
+        GGML_CUDA_LOG_INFO("%s[%d]: %d buffers, max_size = %u MB, pool_size = %u MB, requested %u MB\n", __func__, device, nnz,
+                           (uint32_t)(max_size / 1024 / 1024), (uint32_t)(pool_size / 1024 / 1024), (uint32_t)(size / 1024 / 1024));
 #endif
         return ptr;
     }
@@ -250,7 +304,7 @@ struct ggml_cuda_pool_leg : public ggml_cuda_pool {
                 return;
             }
         }
-        fprintf(stderr, "WARNING: cuda buffer pool full, increase MAX_CUDA_BUFFERS\n");
+        GGML_CUDA_LOG_WARN("Cuda buffer pool full, increase MAX_CUDA_BUFFERS\n");
         ggml_cuda_set_device(device);
         CUDA_CHECK(cudaFree(ptr));
         pool_size -= size;
@@ -497,9 +551,11 @@ GGML_CALL static ggml_backend_buffer_t ggml_backend_cuda_buffer_type_alloc_buffe
     size = std::max(size, (size_t)1); // cudaMalloc returns null for size 0
 
     void * dev_ptr;
-    cudaError_t err = cudaMalloc(&dev_ptr, size);
+    cudaError_t err = ggml_cuda_device_malloc(&dev_ptr, size, buft_ctx->device);
     if (err != cudaSuccess) {
-        fprintf(stderr, "%s: allocating %.2f MiB on device %d: cudaMalloc failed: %s\n", __func__, size/1024.0/1024.0, buft_ctx->device, cudaGetErrorString(err));
+        // clear the error
+        cudaGetLastError();
+        GGML_CUDA_LOG_ERROR("%s: allocating %.2f MiB on device %d: cudaMalloc failed: %s\n", __func__, size / 1024.0 / 1024.0, buft_ctx->device, cudaGetErrorString(err));
         return nullptr;
     }
 
@@ -756,7 +812,7 @@ GGML_CALL static void ggml_backend_cuda_split_buffer_init_tensor(ggml_backend_bu
         // currently, init_tensor cannot fail, it needs to be fixed in ggml-backend first
         ggml_cuda_set_device(id);
         char * buf;
-        CUDA_CHECK(cudaMalloc(&buf, size));
+        CUDA_CHECK(ggml_cuda_device_malloc((void**)&buf, size, id));
 
         // set padding to 0 to avoid possible NaN values
         if (size > original_size) {
@@ -1002,8 +1058,8 @@ static void * ggml_cuda_host_malloc(size_t size) {
     if (err != cudaSuccess) {
         // clear the error
         cudaGetLastError();
-        fprintf(stderr, "%s: warning: failed to allocate %.2f MiB of pinned memory: %s\n", __func__,
-            size/1024.0/1024.0, cudaGetErrorString(err));
+        GGML_CUDA_LOG_WARN("%s: failed to allocate %.2f MiB of pinned memory: %s\n", __func__,
+                           size / 1024.0 / 1024.0, cudaGetErrorString(err));
         return nullptr;
     }
 
@@ -1814,7 +1870,7 @@ static void ggml_cuda_mul_mat_batched_cublas(ggml_backend_cuda_context & ctx, co
         }
     }
 #else
-    if (r2 == 1 && r3 == 1 && src0->nb[2]*src0->ne[2] == src0->nb[3] && src1->nb[2]*src1->ne[2] == src1->nb[3]) {
+    if (r2 == 1 && r3 == 1 && ggml_is_contiguous_2(src0) && ggml_is_contiguous_2(src1)) {
         // there is no broadcast and src0, src1 are contiguous across dims 2, 3
         // use cublasGemmStridedBatchedEx
         CUBLAS_CHECK(
@@ -2246,7 +2302,7 @@ static bool ggml_cuda_compute_forward(ggml_backend_cuda_context & ctx, struct gg
             break;
         case GGML_OP_MUL_MAT:
             if (dst->src[0]->ne[3] != dst->src[1]->ne[3]) {
-                fprintf(stderr, "%s: cannot compute %s: src0->ne[3] = %" PRId64 ", src1->ne[3] = %" PRId64 " - fallback to CPU\n", __func__, dst->name, dst->src[0]->ne[3], dst->src[1]->ne[3]);
+                GGML_CUDA_LOG_ERROR("%s: cannot compute %s: src0->ne[3] = %" PRId64 ", src1->ne[3] = %" PRId64 " - fallback to CPU\n", __func__, dst->name, dst->src[0]->ne[3], dst->src[1]->ne[3]);
                 return false;
             } else {
                 ggml_cuda_mul_mat(ctx, dst->src[0], dst->src[1], dst);
@@ -2300,7 +2356,7 @@ static bool ggml_cuda_compute_forward(ggml_backend_cuda_context & ctx, struct gg
 
     cudaError_t err = cudaGetLastError();
     if (err != cudaSuccess) {
-        fprintf(stderr, "%s: %s failed\n", __func__, ggml_op_desc(dst));
+        GGML_CUDA_LOG_ERROR("%s: %s failed\n", __func__, ggml_op_desc(dst));
         CUDA_CHECK(err);
     }
 
@@ -2468,15 +2524,15 @@ GGML_CALL static enum ggml_status ggml_backend_cuda_graph_compute(ggml_backend_t
 
     bool use_cuda_graph = true;
     bool cuda_graph_update_required = false;
-    // pointer to CUDA cpy kernel, which is required to identify
+    // vector of pointers to CUDA cpy kernels, which are required to identify
     // kernel parameters which need updated in the graph for each token
-    void * ggml_cuda_cpy_fn_ptr = nullptr;
+    std::vector<void *> ggml_cuda_cpy_fn_ptrs;
 
     if (cuda_ctx->cuda_graph->graph == nullptr) {
         if (ggml_cuda_info().devices[cuda_ctx->device].cc < CC_AMPERE) {
             cuda_ctx->cuda_graph->disable_due_to_gpu_arch = true;
 #ifndef NDEBUG
-            fprintf(stderr, "%s: disabling CUDA graphs due to GPU architecture\n", __func__);
+            GGML_CUDA_LOG_WARN("%s: disabling CUDA graphs due to GPU architecture\n", __func__);
 #endif
         }
     }
@@ -2523,14 +2579,14 @@ GGML_CALL static enum ggml_status ggml_backend_cuda_graph_compute(ggml_backend_t
             if (node->src[0] && ggml_backend_buffer_is_cuda_split(node->src[0]->buffer)) {
                 use_cuda_graph = false; // Split buffers are not supported by CUDA graph capture
 #ifndef NDEBUG
-                fprintf(stderr, "%s: disabling CUDA graphs due to split buffer\n", __func__);
+                GGML_CUDA_LOG_WARN("%s: disabling CUDA graphs due to split buffer\n", __func__);
 #endif
             }
 
             if (node->op == GGML_OP_MUL_MAT_ID) {
                 use_cuda_graph = false; // This node type is not supported by CUDA graph capture
 #ifndef NDEBUG
-                fprintf(stderr, "%s: disabling CUDA graphs due to mul_mat_id\n", __func__);
+                GGML_CUDA_LOG_WARN("%s: disabling CUDA graphs due to mul_mat_id\n", __func__);
 #endif
             }
 
@@ -2539,16 +2595,17 @@ GGML_CALL static enum ggml_status ggml_backend_cuda_graph_compute(ggml_backend_t
                 // Changes in batch size or context size can cause changes to the grid size of some kernels.
                 use_cuda_graph = false;
 #ifndef NDEBUG
-                fprintf(stderr, "%s: disabling CUDA graphs due to batch size > 1 [%s] [%ld %ld %ld %ld]\n", __func__, node->name, node->ne[0], node->ne[1], node->ne[2], node->ne[3]);
+                GGML_CUDA_LOG_WARN("%s: disabling CUDA graphs due to batch size > 1 [%s] [%ld %ld %ld %ld]\n", __func__, node->name, node->ne[0], node->ne[1], node->ne[2], node->ne[3]);
 #endif
             }
 
             if (node->op == GGML_OP_CPY) {
                 // store the copy op parameter which changes with each token.
                 cuda_ctx->cuda_graph->updated_kernel_arg.push_back((char **) &(node->src[1]->data));
-                if (ggml_cuda_cpy_fn_ptr == nullptr) {
-                    // store a pointer to the copy op CUDA kernel to identify it later
-                    ggml_cuda_cpy_fn_ptr = ggml_cuda_cpy_fn(node->src[0], node->src[1]);
+                // store a pointer to each copy op CUDA kernel to identify it later
+                void * ptr = ggml_cuda_cpy_fn(node->src[0], node->src[1]);
+                if (std::find(ggml_cuda_cpy_fn_ptrs.begin(), ggml_cuda_cpy_fn_ptrs.end(), ptr) == ggml_cuda_cpy_fn_ptrs.end()) {
+                    ggml_cuda_cpy_fn_ptrs.push_back(ptr);
                 }
             }
 
@@ -2558,7 +2615,7 @@ GGML_CALL static enum ggml_status ggml_backend_cuda_graph_compute(ggml_backend_t
         }
 
         // Disable CUDA graphs (from the next token) if the use-case is demanding too many consecutive graph updates.
-        if (cuda_graph_update_required) {
+        if (use_cuda_graph && cuda_graph_update_required) {
             cuda_ctx->cuda_graph->number_consecutive_updates++;
         } else {
             cuda_ctx->cuda_graph->number_consecutive_updates = 0;
@@ -2567,7 +2624,7 @@ GGML_CALL static enum ggml_status ggml_backend_cuda_graph_compute(ggml_backend_t
         if (cuda_ctx->cuda_graph->number_consecutive_updates >= 4) {
             cuda_ctx->cuda_graph->disable_due_to_too_many_updates = true;
 #ifndef NDEBUG
-            fprintf(stderr, "%s: disabling CUDA graphs due to too many consecutive updates\n", __func__);
+            GGML_CUDA_LOG_WARN("%s: disabling CUDA graphs due to too many consecutive updates\n", __func__);
 #endif
         }
     }
@@ -2605,7 +2662,7 @@ GGML_CALL static enum ggml_status ggml_backend_cuda_graph_compute(ggml_backend_t
 
                 bool ok = ggml_cuda_compute_forward(*cuda_ctx, node);
                 if (!ok) {
-                    fprintf(stderr, "%s: error: op not supported %s (%s)\n", __func__, node->name, ggml_op_name(node->op));
+                    GGML_CUDA_LOG_ERROR("%s: op not supported %s (%s)\n", __func__, node->name, ggml_op_name(node->op));
                 }
                 GGML_ASSERT(ok);
             }
@@ -2624,7 +2681,7 @@ GGML_CALL static enum ggml_status ggml_backend_cuda_graph_compute(ggml_backend_t
                 use_cuda_graph = false;
                 cuda_ctx->cuda_graph->disable_due_to_failed_graph_capture = true;
 #ifndef NDEBUG
-                fprintf(stderr, "%s: disabling CUDA graphs due to failed graph capture\n", __func__);
+                GGML_CUDA_LOG_WARN("%s: disabling CUDA graphs due to failed graph capture\n", __func__);
 #endif
             } else {
                 graph_evaluated_or_captured = true; // CUDA graph has been captured
@@ -2645,10 +2702,8 @@ GGML_CALL static enum ggml_status ggml_backend_cuda_graph_compute(ggml_backend_t
 
         if (cuda_graph_update_required) {
             // Extract nodes from graph
-            if (cuda_ctx->cuda_graph->num_nodes == 0) {
-                // First call with null argument gets number of nodes in graph
-                CUDA_CHECK(cudaGraphGetNodes(cuda_ctx->cuda_graph->graph, nullptr, &cuda_ctx->cuda_graph->num_nodes));
-            }
+            // First call with null argument gets number of nodes in graph
+            CUDA_CHECK(cudaGraphGetNodes(cuda_ctx->cuda_graph->graph, nullptr, &cuda_ctx->cuda_graph->num_nodes));
             // Subsequent call with non-null argument gets nodes
             cuda_ctx->cuda_graph->nodes.resize(cuda_ctx->cuda_graph->num_nodes);
             cuda_ctx->cuda_graph->params.resize(cuda_ctx->cuda_graph->num_nodes);
@@ -2678,7 +2733,7 @@ GGML_CALL static enum ggml_status ggml_backend_cuda_graph_compute(ggml_backend_t
         if (!cuda_graph_update_required) { // on update steps, the live parameters will already be captured
             int k = 0;
             for (size_t i = 0; i < cuda_ctx->cuda_graph->num_nodes; i++) {
-                if (cuda_ctx->cuda_graph->params[i].func == ggml_cuda_cpy_fn_ptr) {
+                if(count(ggml_cuda_cpy_fn_ptrs.begin(), ggml_cuda_cpy_fn_ptrs.end(), cuda_ctx->cuda_graph->params[i].func) > 0) {
                     char ** updated_kernel_arg_ptr = cuda_ctx->cuda_graph->updated_kernel_arg.at(k++);
                     cuda_ctx->cuda_graph->params[i].kernelParams[1] = updated_kernel_arg_ptr;
                     CUDA_CHECK(cudaGraphKernelNodeSetParams(cuda_ctx->cuda_graph->nodes[i], &cuda_ctx->cuda_graph->params[i]));
@@ -2691,7 +2746,7 @@ GGML_CALL static enum ggml_status ggml_backend_cuda_graph_compute(ggml_backend_t
         cudaError_t stat = cudaGraphExecUpdate(cuda_ctx->cuda_graph->instance, cuda_ctx->cuda_graph->graph, &result_info);
         if (stat == cudaErrorGraphExecUpdateFailure) {
 #ifndef NDEBUG
-            fprintf(stderr, "%s: CUDA graph update failed\n", __func__);
+            GGML_CUDA_LOG_ERROR("%s: CUDA graph update failed\n", __func__);
 #endif
             // The pre-existing graph exec cannot be updated due to violated constraints
             // so instead clear error and re-instantiate
@@ -2829,7 +2884,9 @@ GGML_CALL static bool ggml_backend_cuda_supports_op(ggml_backend_t backend, cons
         case GGML_OP_CONT:
         case GGML_OP_DIAG_MASK_INF:
         case GGML_OP_SOFT_MAX:
+            return true;
         case GGML_OP_ROPE:
+            return ggml_is_contiguous(op->src[0]);
         case GGML_OP_IM2COL:
         case GGML_OP_POOL_2D:
         case GGML_OP_SUM_ROWS:
@@ -2846,10 +2903,14 @@ GGML_CALL static bool ggml_backend_cuda_supports_op(ggml_backend_t backend, cons
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
             return op->src[0]->ne[0] == 64 || op->src[0]->ne[0] == 128;
 #else
-            if (op->src[0]->ne[0] == 64 || op->src[0]->ne[0] == 128) {
+            if (op->src[0]->ne[0] == 128) {
                 return true;
             }
-            return ggml_cuda_info().devices[cuda_ctx->device].cc >= CC_VOLTA;
+            if (op->src[0]->ne[0] ==  64 && op->src[1]->type == GGML_TYPE_F16) {
+                return true;
+            }
+            return ggml_cuda_info().devices[cuda_ctx->device].cc >= CC_VOLTA &&
+                op->src[1]->type == GGML_TYPE_F16 && op->src[2]->type == GGML_TYPE_F16;
 #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
         default:
             return false;
@@ -2948,13 +3009,13 @@ static ggml_guid_t ggml_backend_cuda_guid() {
 
 GGML_CALL ggml_backend_t ggml_backend_cuda_init(int device) {
     if (device < 0 || device >= ggml_backend_cuda_get_device_count()) {
-        fprintf(stderr, "%s: error: invalid device %d\n", __func__, device);
+        GGML_CUDA_LOG_ERROR("%s: invalid device %d\n", __func__, device);
         return nullptr;
     }
 
     ggml_backend_cuda_context * ctx = new ggml_backend_cuda_context(device);
     if (ctx == nullptr) {
-        fprintf(stderr, "%s: error: failed to allocate context\n", __func__);
+        GGML_CUDA_LOG_ERROR("%s: failed to allocate context\n", __func__);
         return nullptr;
     }
 
@@ -2998,8 +3059,8 @@ GGML_CALL bool ggml_backend_cuda_register_host_buffer(void * buffer, size_t size
         // clear the error
         cudaGetLastError();
 
-        fprintf(stderr, "%s: warning: failed to register %.2f MiB of pinned memory: %s\n", __func__,
-                size/1024.0/1024.0, cudaGetErrorString(err));
+        GGML_CUDA_LOG_WARN("%s: failed to register %.2f MiB of pinned memory: %s\n", __func__,
+                           size / 1024.0 / 1024.0, cudaGetErrorString(err));
         return false;
     }
     return true;
diff --git a/ggml-cuda.h b/ggml-cuda.h
index 5eb4af40f..d7903c666 100644
--- a/ggml-cuda.h
+++ b/ggml-cuda.h
@@ -38,6 +38,7 @@ GGML_API GGML_CALL void ggml_backend_cuda_get_device_memory(int device, size_t *
 GGML_API GGML_CALL bool ggml_backend_cuda_register_host_buffer(void * buffer, size_t size);
 GGML_API GGML_CALL void ggml_backend_cuda_unregister_host_buffer(void * buffer);
 
+GGML_API void ggml_backend_cuda_log_set_callback(ggml_log_callback log_callback, void * user_data);
 #ifdef  __cplusplus
 }
 #endif
diff --git a/ggml-cuda/common.cuh b/ggml-cuda/common.cuh
index b6f0bc36a..22872ca5c 100644
--- a/ggml-cuda/common.cuh
+++ b/ggml-cuda/common.cuh
@@ -79,13 +79,8 @@
 #define cudaHostRegisterReadOnly hipHostRegisterReadOnly
 #define cudaHostUnregister hipHostUnregister
 #define cudaLaunchHostFunc hipLaunchHostFunc
-#ifdef GGML_HIP_UMA
-#define cudaMalloc hipMallocManaged
-#define cudaMallocHost(ptr, size) hipHostMalloc(ptr, size)
-#else
 #define cudaMalloc hipMalloc
 #define cudaMallocHost(ptr, size) hipHostMalloc(ptr, size, hipHostMallocDefault)
-#endif
 #define cudaMemcpy hipMemcpy
 #define cudaMemcpyAsync hipMemcpyAsync
 #define cudaMemcpyPeerAsync hipMemcpyPeerAsync
@@ -315,6 +310,20 @@ static __device__ __forceinline__ int __dp4a(const int a, const int b, int c) {
 #endif
     return c;
 }
+
+#if defined(__HIP_PLATFORM_AMD__) && HIP_VERSION < 50600000
+// __shfl_xor() for half2 was added in ROCm 5.6
+static __device__ __forceinline__ half2 __shfl_xor(half2 var, int laneMask, int width) {
+    typedef union half2_b32 {
+        half2 val;
+        int   b32;
+    } half2_b32_t;
+    half2_b32_t tmp;
+    tmp.val = var;
+    tmp.b32 = __shfl_xor(tmp.b32, laneMask, width);
+    return tmp.val;
+}
+#endif // defined(__HIP_PLATFORM_AMD__) && HIP_VERSION < 50600000
 #endif // defined(GGML_USE_HIPBLAS)
 
 #define FP16_AVAILABLE (defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) || __CUDA_ARCH__ >= CC_PASCAL
@@ -463,6 +472,17 @@ static const __device__ int8_t kvalues_iq4nl[16] = {-127, -104, -83, -65, -49, -
 
 typedef void (*dequantize_kernel_t)(const void * vx, const int64_t ib, const int iqs, dfloat2 & v);
 
+static __device__ __forceinline__ float get_alibi_slope(
+    const float max_bias, const uint32_t h, const uint32_t n_head_log2, const float m0, const float m1
+) {
+    if (max_bias <= 0.0f) {
+        return 1.0f;
+    }
+    const float base = h < n_head_log2 ? m0 : m1;
+    const int   exph = h < n_head_log2 ? h + 1 : 2*(h - n_head_log2) + 1;
+
+    return powf(base, exph);
+}
 
 //////////////////////
 
diff --git a/ggml-cuda/concat.cu b/ggml-cuda/concat.cu
index 2941d2f17..dac10ec36 100644
--- a/ggml-cuda/concat.cu
+++ b/ggml-cuda/concat.cu
@@ -1,15 +1,69 @@
 #include "concat.cuh"
 
-static __global__ void concat_f32(const float * x,const float * y, float * dst, const int ne0, const int ne02) {
+// contiguous kernels
+static __global__ void concat_f32_dim0(const float * x, const float * y, float * dst, const int ne0, const int ne00) {
     int nidx = threadIdx.x + blockIdx.x * blockDim.x;
     if (nidx >= ne0) {
         return;
     }
-    // operation
+
     int offset_dst =
         nidx +
         blockIdx.y * ne0 +
         blockIdx.z * ne0 * gridDim.y;
+
+    if (nidx < ne00) { // src0
+        int offset_src =
+            nidx +
+            blockIdx.y * ne00 +
+            blockIdx.z * ne00 * gridDim.y;
+        dst[offset_dst] = x[offset_src];
+    } else {
+        int offset_src =
+            (nidx - ne00) +
+            blockIdx.y * (ne0 - ne00) +
+            blockIdx.z * (ne0 - ne00) * gridDim.y;
+        dst[offset_dst] = y[offset_src];
+    }
+}
+
+static __global__ void concat_f32_dim1(const float * x, const float * y, float * dst, const int ne0, const int ne01) {
+    int nidx = threadIdx.x + blockIdx.x * blockDim.x;
+    if (nidx >= ne0) {
+        return;
+    }
+
+    int offset_dst =
+        nidx +
+        blockIdx.y * ne0 +
+        blockIdx.z * ne0 * gridDim.y;
+
+    if (blockIdx.y < ne01) { // src0
+        int offset_src =
+            nidx +
+            blockIdx.y * ne0 +
+            blockIdx.z * ne0 * ne01;
+        dst[offset_dst] = x[offset_src];
+    } else {
+        int offset_src =
+            nidx +
+            (blockIdx.y - ne01) * ne0 +
+            blockIdx.z * ne0 * (gridDim.y - ne01);
+        dst[offset_dst] = y[offset_src];
+    }
+}
+
+static __global__ void concat_f32_dim2(const float * x, const float * y, float * dst, const int ne0, const int ne02) {
+    int nidx = threadIdx.x + blockIdx.x * blockDim.x;
+    if (nidx >= ne0) {
+        return;
+    }
+
+    int offset_dst =
+        nidx +
+        blockIdx.y * ne0 +
+        blockIdx.z * ne0 * gridDim.y;
+
     if (blockIdx.z < ne02) { // src0
         int offset_src =
             nidx +
@@ -25,25 +79,118 @@ static __global__ void concat_f32(const float * x,const float * y, float * dst,
     }
 }
 
-static void concat_f32_cuda(const float * x, const float * y, float * dst, const int ne0, int ne1, int ne2, int ne02, cudaStream_t stream) {
+static void concat_f32_cuda(const float * x, const float * y, float * dst, int ne00, int ne01, int ne02, int ne0, int ne1, int ne2, int dim, cudaStream_t stream) {
     int num_blocks = (ne0 + CUDA_CONCAT_BLOCK_SIZE - 1) / CUDA_CONCAT_BLOCK_SIZE;
     dim3 gridDim(num_blocks, ne1, ne2);
-    concat_f32<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne02);
+    if (dim == 0) {
+        concat_f32_dim0<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne00);
+        return;
+    }
+    if (dim == 1) {
+        concat_f32_dim1<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne01);
+        return;
+    }
+    concat_f32_dim2<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne02);
 }
 
+// non-contiguous kernel (slow)
+static __global__ void concat_f32_non_cont(
+        const char * src0,
+        const char * src1,
+              char * dst,
+           int64_t   ne00,
+           int64_t   ne01,
+           int64_t   ne02,
+           int64_t   ne03,
+          uint64_t   nb00,
+          uint64_t   nb01,
+          uint64_t   nb02,
+          uint64_t   nb03,
+           int64_t /*ne10*/,
+           int64_t /*ne11*/,
+           int64_t /*ne12*/,
+           int64_t /*ne13*/,
+          uint64_t   nb10,
+          uint64_t   nb11,
+          uint64_t   nb12,
+          uint64_t   nb13,
+           int64_t   ne0,
+           int64_t /*ne1*/,
+           int64_t /*ne2*/,
+           int64_t /*ne3*/,
+          uint64_t   nb0,
+          uint64_t   nb1,
+          uint64_t   nb2,
+          uint64_t   nb3,
+          int32_t   dim) {
+    const int64_t i3 = blockIdx.z;
+    const int64_t i2 = blockIdx.y;
+    const int64_t i1 = blockIdx.x;
+
+    int64_t o[4] = {0, 0, 0, 0};
+    o[dim] = dim == 0 ? ne00 : (dim == 1 ? ne01 : (dim == 2 ? ne02 : ne03));
+
+    const float * x;
+
+    for (int i0 = threadIdx.x; i0 < ne0; i0 += blockDim.x) {
+        if (i0 < ne00 && i1 < ne01 && i2 < ne02 && i3 < ne03) {
+            x = (const float *)(src0 + (i3       )*nb03 + (i2       )*nb02 + (i1       )*nb01 + (i0       )*nb00);
+        } else {
+            x = (const float *)(src1 + (i3 - o[3])*nb13 + (i2 - o[2])*nb12 + (i1 - o[1])*nb11 + (i0 - o[0])*nb10);
+        }
+
+        float * y = (float *)(dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0);
+
+        *y = *x;
+    }
+}
+
+
 void ggml_cuda_op_concat(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     const ggml_tensor * src0 = dst->src[0];
     const ggml_tensor * src1 = dst->src[1];
-    const float * src0_d = (const float *)src0->data;
-    const float * src1_d = (const float *)src1->data;
-    float * dst_d = (float *)dst->data;
+
     cudaStream_t stream = ctx.stream();
 
+    const int32_t dim = ((int32_t *) dst->op_params)[0];
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT(src1->type == GGML_TYPE_F32);
-    GGML_ASSERT(dst->type == GGML_TYPE_F32);
+    GGML_ASSERT(dst->type  == GGML_TYPE_F32);
 
-    for (int i3 = 0; i3 < dst->ne[3]; i3++) {
-        concat_f32_cuda(src0_d + i3 * (src0->nb[3] / 4), src1_d + i3 * (src1->nb[3] / 4), dst_d + i3 * (dst->nb[3] / 4), dst->ne[0], dst->ne[1], dst->ne[2], src0->ne[2], stream);
+    if (ggml_is_contiguous(src0) && ggml_is_contiguous(src1)) {
+        const float * src0_d = (const float *)src0->data;
+        const float * src1_d = (const float *)src1->data;
+
+        float * dst_d = (float *)dst->data;
+
+        if (dim != 3) {
+            for (int i3 = 0; i3 < dst->ne[3]; i3++) {
+                concat_f32_cuda(
+                        src0_d + i3 * (src0->nb[3] / 4),
+                        src1_d + i3 * (src1->nb[3] / 4),
+                        dst_d + i3 * ( dst->nb[3] / 4),
+                        src0->ne[0], src0->ne[1], src0->ne[2],
+                        dst->ne[0],  dst->ne[1],  dst->ne[2], dim, stream);
+            }
+        } else {
+            const size_t size0 = ggml_nbytes(src0);
+            const size_t size1 = ggml_nbytes(src1);
+
+            CUDA_CHECK(cudaMemcpyAsync(dst_d,           src0_d, size0, cudaMemcpyDeviceToDevice, stream));
+            CUDA_CHECK(cudaMemcpyAsync(dst_d + size0/4, src1_d, size1, cudaMemcpyDeviceToDevice, stream));
+        }
+    } else {
+        dim3 grid_dim(dst->ne[1], dst->ne[2], dst->ne[3]);
+        concat_f32_non_cont<<<grid_dim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(
+                (const char *)src0->data,
+                (const char *)src1->data,
+                (      char *)dst->data,
+                src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3],
+                src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3],
+                src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3],
+                src1->nb[0], src1->nb[1], src1->nb[2], src1->nb[3],
+                dst->ne[0],  dst->ne[1],  dst->ne[2],  dst->ne[3],
+                dst->nb[0],  dst->nb[1],  dst->nb[2],  dst->nb[3], dim);
     }
 }
diff --git a/ggml-cuda/convert.cu b/ggml-cuda/convert.cu
index 830e2d756..c0a444707 100644
--- a/ggml-cuda/convert.cu
+++ b/ggml-cuda/convert.cu
@@ -131,7 +131,6 @@ static __global__ void dequantize_block_q2_K(const void * __restrict__ vx, dst_t
     const block_q2_K * x = (const block_q2_K *) vx;
 
     const int64_t tid = threadIdx.x;
-#if QK_K == 256
     const int64_t n   = tid/32;
     const int64_t l   = tid - 32*n;
     const int64_t is  = 8*n + l/16;
@@ -145,17 +144,6 @@ static __global__ void dequantize_block_q2_K(const void * __restrict__ vx, dst_t
     y[l+32] = dall * (x[i].scales[is+2] & 0xF) * ((q >> 2) & 3) - dmin * (x[i].scales[is+2] >> 4);
     y[l+64] = dall * (x[i].scales[is+4] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is+4] >> 4);
     y[l+96] = dall * (x[i].scales[is+6] & 0xF) * ((q >> 6) & 3) - dmin * (x[i].scales[is+6] >> 4);
-#else
-    const int64_t is = tid/16;  // 0 or 1
-    const int64_t il = tid%16;  // 0...15
-    const uint8_t q = x[i].qs[il] >> (2*is);
-    dst_t * y = yy + i*QK_K + 16*is + il;
-    float dall = __low2half(x[i].dm);
-    float dmin = __high2half(x[i].dm);
-    y[ 0] = dall * (x[i].scales[is+0] & 0xF) * ((q >> 0) & 3) - dmin * (x[i].scales[is+0] >> 4);
-    y[32] = dall * (x[i].scales[is+2] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is+2] >> 4);
-#endif
-
 }
 
 template<typename dst_t>
@@ -164,7 +152,6 @@ static __global__ void dequantize_block_q3_K(const void * __restrict__ vx, dst_t
     const int64_t i = blockIdx.x;
     const block_q3_K * x = (const block_q3_K *) vx;
 
-#if QK_K == 256
     const int64_t r = threadIdx.x/4;
     const int64_t tid = r/2;
     const int64_t is0 = r%2;
@@ -188,31 +175,8 @@ static __global__ void dequantize_block_q3_K(const void * __restrict__ vx, dst_t
     const uint8_t * hm = x[i].hmask;
 
     for (int l = l0; l < l0+4; ++l) y[l] = dl * ((int8_t)((q[l] >> shift) & 3) - ((hm[l] & m) ? 0 : 4));
-#else
-    const int64_t tid = threadIdx.x;
-    const int64_t is  = tid/16;  // 0 or 1
-    const int64_t il  = tid%16;  // 0...15
-    const int64_t im  = il/8;    // 0...1
-    const int64_t in  = il%8;    // 0...7
-
-    dst_t * y = yy + i*QK_K + 16*is + il;
-
-    const uint8_t q = x[i].qs[il] >> (2*is);
-    const uint8_t h = x[i].hmask[in] >> (2*is + im);
-    const float   d = (float)x[i].d;
-
-    if (is == 0) {
-        y[ 0] = d * ((x[i].scales[0] & 0xF) - 8) * ((int8_t)((q >> 0) & 3) - ((h >> 0) & 1 ? 0 : 4));
-        y[32] = d * ((x[i].scales[1] & 0xF) - 8) * ((int8_t)((q >> 4) & 3) - ((h >> 4) & 1 ? 0 : 4));
-    } else {
-        y[ 0] = d * ((x[i].scales[0] >>  4) - 8) * ((int8_t)((q >> 0) & 3) - ((h >> 0) & 1 ? 0 : 4));
-        y[32] = d * ((x[i].scales[1] >>  4) - 8) * ((int8_t)((q >> 4) & 3) - ((h >> 4) & 1 ? 0 : 4));
-    }
-#endif
-
 }
 
-#if QK_K == 256
 static inline __device__ void get_scale_min_k4(int j, const uint8_t * q, uint8_t & d, uint8_t & m) {
     if (j < 4) {
         d = q[j] & 63; m = q[j + 4] & 63;
@@ -221,7 +185,6 @@ static inline __device__ void get_scale_min_k4(int j, const uint8_t * q, uint8_t
         m = (q[j+4] >>  4) | ((q[j-0] >> 6) << 4);
     }
 }
-#endif
 
 template<typename dst_t>
 static __global__ void dequantize_block_q4_K(const void * __restrict__ vx, dst_t * __restrict__ yy) {
@@ -229,7 +192,6 @@ static __global__ void dequantize_block_q4_K(const void * __restrict__ vx, dst_t
 
     const int64_t i = blockIdx.x;
 
-#if QK_K == 256
     // assume 32 threads
     const int64_t tid = threadIdx.x;
     const int64_t il  = tid/8;
@@ -253,15 +215,6 @@ static __global__ void dequantize_block_q4_K(const void * __restrict__ vx, dst_t
         y[l + 0] = d1 * (q[l] & 0xF) - m1;
         y[l +32] = d2 * (q[l] >>  4) - m2;
     }
-#else
-    const int64_t tid = threadIdx.x;
-    const uint8_t * q = x[i].qs;
-    dst_t * y = yy + i*QK_K;
-    const float d = (float)x[i].dm[0];
-    const float m = (float)x[i].dm[1];
-    y[tid+ 0] = d * (x[i].scales[0] & 0xF) * (q[tid] & 0xF) - m * (x[i].scales[0] >> 4);
-    y[tid+32] = d * (x[i].scales[1] & 0xF) * (q[tid] >>  4) - m * (x[i].scales[1] >> 4);
-#endif
 }
 
 template<typename dst_t>
@@ -270,7 +223,6 @@ static __global__ void dequantize_block_q5_K(const void * __restrict__ vx, dst_t
 
     const int64_t i = blockIdx.x;
 
-#if QK_K == 256
     // assume 64 threads - this is very slightly better than the one below
     const int64_t tid = threadIdx.x;
     const int64_t il  = tid/16;   // il is in 0...3
@@ -297,18 +249,6 @@ static __global__ void dequantize_block_q5_K(const void * __restrict__ vx, dst_t
     hm <<= 1;
     y[32] = d2 * ((ql[ 0] >>  4) + (qh[ 0] & hm ? 16 : 0)) - m2;
     y[33] = d2 * ((ql[ 1] >>  4) + (qh[ 1] & hm ? 16 : 0)) - m2;
-#else
-    const int64_t tid = threadIdx.x;
-    const uint8_t q = x[i].qs[tid];
-    const int64_t im = tid/8;  // 0...3
-    const int64_t in = tid%8;  // 0...7
-    const int64_t is = tid/16; // 0 or 1
-    const uint8_t h = x[i].qh[in] >> im;
-    const float d = x[i].d;
-    dst_t * y = yy + i*QK_K + tid;
-    y[ 0] = d * x[i].scales[is+0] * ((q & 0xF) - ((h >> 0) & 1 ? 0 : 16));
-    y[32] = d * x[i].scales[is+2] * ((q >>  4) - ((h >> 4) & 1 ? 0 : 16));
-#endif
 }
 
 template<typename dst_t>
@@ -316,7 +256,6 @@ static __global__ void dequantize_block_q6_K(const void * __restrict__ vx, dst_t
     const block_q6_K * x = (const block_q6_K *) vx;
 
     const int64_t i = blockIdx.x;
-#if QK_K == 256
 
     // assume 64 threads - this is very slightly better than the one below
     const int64_t tid = threadIdx.x;
@@ -336,24 +275,6 @@ static __global__ void dequantize_block_q6_K(const void * __restrict__ vx, dst_t
     y[32] = d * sc[2] * ((int8_t)((ql[32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32);
     y[64] = d * sc[4] * ((int8_t)((ql[ 0]  >> 4) | (((qh >> 4) & 3) << 4)) - 32);
     y[96] = d * sc[6] * ((int8_t)((ql[32]  >> 4) | (((qh >> 6) & 3) << 4)) - 32);
-#else
-
-    // assume 32 threads
-    const int64_t tid = threadIdx.x;
-    const int64_t ip  = tid/16;         // 0 or 1
-    const int64_t il  = tid - 16*ip;    // 0...15
-
-    dst_t * y = yy + i*QK_K + 16*ip + il;
-
-    const float d = x[i].d;
-
-    const uint8_t   ql = x[i].ql[16*ip + il];
-    const uint8_t   qh = x[i].qh[il] >> (2*ip);
-    const int8_t  * sc = x[i].scales;
-
-    y[ 0] = d * sc[ip+0] * ((int8_t)((ql & 0xF) | (((qh >> 0) & 3) << 4)) - 32);
-    y[32] = d * sc[ip+2] * ((int8_t)((ql  >> 4) | (((qh >> 4) & 3) << 4)) - 32);
-#endif
 }
 
 template<typename dst_t>
@@ -363,7 +284,6 @@ static __global__ void dequantize_block_iq2_xxs(const void * __restrict__ vx, ds
     const block_iq2_xxs * x = (const block_iq2_xxs  *) vx;
 
     const int64_t tid = threadIdx.x;
-#if QK_K == 256
     const int64_t il = tid/8; // 0...3
     const int64_t ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -374,10 +294,6 @@ static __global__ void dequantize_block_iq2_xxs(const void * __restrict__ vx, ds
     const float d = (float)x[i].d * (0.5f + (aux32 >> 28)) * 0.25f;
     const uint8_t signs = ksigns_iq2xs[(aux32 >> 7*il) & 127];
     for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
-#else
-    NO_DEVICE_CODE;
-#endif
-
 }
 
 template<typename dst_t>
@@ -387,7 +303,6 @@ static __global__ void dequantize_block_iq2_xs(const void * __restrict__ vx, dst
     const block_iq2_xs * x = (const block_iq2_xs *) vx;
 
     const int64_t tid = threadIdx.x;
-#if QK_K == 256
     const int64_t il = tid/8; // 0...3
     const int64_t ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -396,10 +311,6 @@ static __global__ void dequantize_block_iq2_xs(const void * __restrict__ vx, dst
     const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f;
     const uint8_t signs = ksigns_iq2xs[q2[il] >> 9];
     for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
-#else
-    NO_DEVICE_CODE;
-#endif
-
 }
 
 template<typename dst_t>
@@ -409,7 +320,6 @@ static __global__ void dequantize_block_iq2_s(const void * __restrict__ vx, dst_
     const block_iq2_s * x = (const block_iq2_s *) vx;
 
     const int64_t tid = threadIdx.x;
-#if QK_K == 256
     const int64_t il = tid/8; // 0...3
     const int64_t ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -417,10 +327,6 @@ static __global__ void dequantize_block_iq2_s(const void * __restrict__ vx, dst_
     const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f;
     const uint8_t signs = x[i].qs[QK_K/8+4*ib+il];
     for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
-#else
-    NO_DEVICE_CODE;
-#endif
-
 }
 
 template<typename dst_t>
@@ -430,7 +336,6 @@ static __global__ void dequantize_block_iq3_xxs(const void * __restrict__ vx, ds
     const block_iq3_xxs * x = (const block_iq3_xxs  *) vx;
 
     const int64_t tid = threadIdx.x;
-#if QK_K == 256
     const int64_t il = tid/8; // 0...3
     const int64_t ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -445,10 +350,6 @@ static __global__ void dequantize_block_iq3_xxs(const void * __restrict__ vx, ds
         y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f);
         y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f);
     }
-#else
-    NO_DEVICE_CODE;
-#endif
-
 }
 
 template<typename dst_t>
@@ -458,7 +359,6 @@ static __global__ void dequantize_block_iq3_s(const void * __restrict__ vx, dst_
     const block_iq3_s * x = (const block_iq3_s *) vx;
 
     const int64_t tid = threadIdx.x;
-#if QK_K == 256
     const int64_t il = tid/8; // 0...3
     const int64_t ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -471,10 +371,6 @@ static __global__ void dequantize_block_iq3_s(const void * __restrict__ vx, dst_
         y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f);
         y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f);
     }
-#else
-    NO_DEVICE_CODE;
-#endif
-
 }
 
 template<typename dst_t>
@@ -484,7 +380,6 @@ static __global__ void dequantize_block_iq1_s(const void * __restrict__ vx, dst_
     const block_iq1_s * x = (const block_iq1_s  *) vx;
 
     const int64_t tid = threadIdx.x;
-#if QK_K == 256
     const int64_t il = tid/8; // 0...3
     const int64_t ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -497,10 +392,6 @@ static __global__ void dequantize_block_iq1_s(const void * __restrict__ vx, dst_
     for (int j = 0; j < 8; ++j) {
         y[j] = d * (q[j] + delta);
     }
-#else
-    NO_DEVICE_CODE;
-#endif
-
 }
 
 template<typename dst_t>
@@ -510,7 +401,6 @@ static __global__ void dequantize_block_iq1_m(const void * __restrict__ vx, dst_
     const block_iq1_m * x = (const block_iq1_m  *) vx;
 
     const int64_t tid = threadIdx.x;
-#if QK_K == 256
     const int64_t il = tid/8; // 0...3
     const int64_t ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -527,13 +417,8 @@ static __global__ void dequantize_block_iq1_m(const void * __restrict__ vx, dst_
     for (int j = 0; j < 8; ++j) {
         y[j] = d * (q[j] + delta);
     }
-#else
-    NO_DEVICE_CODE;
-#endif
-
 }
 
-
 template<typename dst_t>
 static __global__ void dequantize_block_iq4_nl(const void * __restrict__ vx, dst_t * __restrict__ yy) {
 
@@ -550,10 +435,8 @@ static __global__ void dequantize_block_iq4_nl(const void * __restrict__ vx, dst
         y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf];
         y[j+16] = d * kvalues_iq4nl[q4[j] >>  4];
     }
-
 }
 
-#if QK_K != 64
 template<typename dst_t>
 static __global__ void dequantize_block_iq4_xs(const void * __restrict__ vx, dst_t * __restrict__ yy) {
     const int64_t i   = blockIdx.x;
@@ -570,7 +453,6 @@ static __global__ void dequantize_block_iq4_xs(const void * __restrict__ vx, dst
         y[j+16] = d * kvalues_iq4nl[q4[j] >>  4];
     }
 }
-#endif
 
 template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
 static void dequantize_block_cuda(const void * __restrict__ vx, dst_t * __restrict__ y, const int64_t k, cudaStream_t stream) {
@@ -592,21 +474,13 @@ static void dequantize_block_q8_0_f16_cuda(const void * __restrict__ vx, half *
 template<typename dst_t>
 static void dequantize_row_q2_K_cuda(const void * vx, dst_t * y, const int64_t k, cudaStream_t stream) {
     const int nb = k / QK_K;
-#if QK_K == 256
     dequantize_block_q2_K<<<nb, 64, 0, stream>>>(vx, y);
-#else
-    dequantize_block_q2_K<<<nb, 32, 0, stream>>>(vx, y);
-#endif
 }
 
 template<typename dst_t>
 static void dequantize_row_q3_K_cuda(const void * vx, dst_t * y, const int64_t k, cudaStream_t stream) {
     const int nb = k / QK_K;
-#if QK_K == 256
     dequantize_block_q3_K<<<nb, 64, 0, stream>>>(vx, y);
-#else
-    dequantize_block_q3_K<<<nb, 32, 0, stream>>>(vx, y);
-#endif
 }
 
 template<typename dst_t>
@@ -632,21 +506,13 @@ static void dequantize_row_q4_K_cuda(const void * vx, dst_t * y, const int64_t k
 template<typename dst_t>
 static void dequantize_row_q5_K_cuda(const void * vx, dst_t * y, const int64_t k, cudaStream_t stream) {
     const int nb = k / QK_K;
-#if QK_K == 256
     dequantize_block_q5_K<<<nb, 64, 0, stream>>>(vx, y);
-#else
-    dequantize_block_q5_K<<<nb, 32, 0, stream>>>(vx, y);
-#endif
 }
 
 template<typename dst_t>
 static void dequantize_row_q6_K_cuda(const void * vx, dst_t * y, const int64_t k, cudaStream_t stream) {
     const int nb = k / QK_K;
-#if QK_K == 256
     dequantize_block_q6_K<<<nb, 64, 0, stream>>>(vx, y);
-#else
-    dequantize_block_q6_K<<<nb, 32, 0, stream>>>(vx, y);
-#endif
 }
 
 template<typename dst_t>
@@ -700,11 +566,7 @@ static void dequantize_row_iq1_m_cuda(const void * vx, dst_t * y, const int64_t
 template<typename dst_t>
 static void dequantize_row_iq4_xs_cuda(const void * vx, dst_t * y, const int64_t k, cudaStream_t stream) {
     const int nb = (k + QK_K - 1) / QK_K;
-#if QK_K == 64
-    dequantize_block_iq4_nl<<<nb, 32, 0, stream>>>(vx, y);
-#else
     dequantize_block_iq4_xs<<<nb, 32, 0, stream>>>(vx, y);
-#endif
 }
 
 template <typename src_t, typename dst_t>
diff --git a/ggml-cuda/dmmv.cu b/ggml-cuda/dmmv.cu
index 7313e3e17..47d4d5d9e 100644
--- a/ggml-cuda/dmmv.cu
+++ b/ggml-cuda/dmmv.cu
@@ -22,7 +22,6 @@ static __global__ void dequantize_mul_mat_vec_q2_k(const void * __restrict__ vx,
 
     float tmp = 0; // partial sum for thread in warp
 
-#if QK_K == 256
     const int tid = threadIdx.x/K_QUANTS_PER_ITERATION;  // 0...31 or 0...15
     const int ix  = threadIdx.x%K_QUANTS_PER_ITERATION;  // 0 or 0,1
 
@@ -71,37 +70,6 @@ static __global__ void dequantize_mul_mat_vec_q2_k(const void * __restrict__ vx,
         tmp += dall * sum1 - dmin * sum2;
 
     }
-#else
-    const int tid = threadIdx.x/(2*K_QUANTS_PER_ITERATION);  // 0...15 or 0...7
-    const int ix  = threadIdx.x%(2*K_QUANTS_PER_ITERATION);  // 0....1 or 0...3
-    const int offset = tid * K_QUANTS_PER_ITERATION;
-
-    uint32_t uaux[2];
-    const uint8_t * d = (const uint8_t *)uaux;
-
-    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
-
-        const float   * y = yy + i * QK_K + offset;
-        const uint8_t * q = x[i].qs + offset;
-        const uint32_t * s = (const uint32_t *)x[i].scales;
-
-        uaux[0] = s[0] & 0x0f0f0f0f;
-        uaux[1] = (s[0] >> 4) & 0x0f0f0f0f;
-
-        const float2 dall = __half22float2(x[i].dm);
-
-        float sum1 = 0, sum2 = 0;
-        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
-            const uint8_t ql = q[l];
-            sum1 += y[l+ 0] * d[0] * ((ql >> 0) & 3)
-                  + y[l+16] * d[1] * ((ql >> 2) & 3)
-                  + y[l+32] * d[2] * ((ql >> 4) & 3)
-                  + y[l+48] * d[3] * ((ql >> 6) & 3);
-            sum2 += y[l+0] * d[4] + y[l+16] * d[5] + y[l+32] * d[6] + y[l+48] * d[7];
-        }
-        tmp += dall.x * sum1 - dall.y * sum2;
-    }
-#endif
 
     // sum up partial sums and write back result
     tmp = warp_reduce_sum(tmp);
@@ -123,8 +91,6 @@ static __global__ void dequantize_mul_mat_vec_q3_k(const void * __restrict__ vx,
 
     float tmp = 0; // partial sum for thread in warp
 
-#if QK_K == 256
-
     const uint16_t kmask1 = 0x0303;
     const uint16_t kmask2 = 0x0f0f;
 
@@ -175,34 +141,6 @@ static __global__ void dequantize_mul_mat_vec_q3_k(const void * __restrict__ vx,
         tmp += d * sum;
 
     }
-#else
-
-    const int tid = threadIdx.x/(2*K_QUANTS_PER_ITERATION);  // 0...15 or 0...7
-    const int ix  = threadIdx.x%(2*K_QUANTS_PER_ITERATION);  // 0....1 or 0...3
-    const int offset = tid * K_QUANTS_PER_ITERATION;         // 0...15 or 0...14
-    const int in = offset/8;                                 // 0 or 1
-    const int im = offset%8;                                 // 0...7
-
-    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
-
-        const float   * y = yy + i * QK_K + offset;
-        const uint8_t * q = x[i].qs + offset;
-        const uint8_t * s = x[i].scales;
-
-        const float dall = (float)x[i].d;
-
-        float sum = 0;
-        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
-            const uint8_t hl = x[i].hmask[im+l] >> in;
-            const uint8_t ql = q[l];
-            sum += y[l+ 0] * dall * ((s[0] & 0xF) - 8) * ((int8_t)((ql >> 0) & 3) - ((hl >> 0) & 1 ? 0 : 4))
-                 + y[l+16] * dall * ((s[0] >>  4) - 8) * ((int8_t)((ql >> 2) & 3) - ((hl >> 2) & 1 ? 0 : 4))
-                 + y[l+32] * dall * ((s[1] & 0xF) - 8) * ((int8_t)((ql >> 4) & 3) - ((hl >> 4) & 1 ? 0 : 4))
-                 + y[l+48] * dall * ((s[1] >>  4) - 8) * ((int8_t)((ql >> 6) & 3) - ((hl >> 6) & 1 ? 0 : 4));
-        }
-        tmp += sum;
-    }
-#endif
 
     // sum up partial sums and write back result
     tmp = warp_reduce_sum(tmp);
@@ -221,7 +159,6 @@ static __global__ void dequantize_mul_mat_vec_q4_k(const void * __restrict__ vx,
 
     const block_q4_K * x = (const block_q4_K *)vx + ib0;
 
-#if QK_K == 256
     const uint16_t kmask1 = 0x3f3f;
     const uint16_t kmask2 = 0x0f0f;
     const uint16_t kmask3 = 0xc0c0;
@@ -306,36 +243,6 @@ static __global__ void dequantize_mul_mat_vec_q4_k(const void * __restrict__ vx,
 #endif
 
     }
-#else
-    const int tid = threadIdx.x/(2*K_QUANTS_PER_ITERATION);  // 0...15
-    const int ix  = threadIdx.x%(2*K_QUANTS_PER_ITERATION);
-
-    const int step = tid * K_QUANTS_PER_ITERATION;
-
-    uint16_t aux16[2];
-    const uint8_t * s = (const uint8_t *)aux16;
-
-    float tmp = 0;
-
-    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
-        const uint8_t * q = x[i].qs + step;
-        const float   * y = yy + i*QK_K + step;
-        const uint16_t * a = (const uint16_t *)x[i].scales;
-        aux16[0] = a[0] & 0x0f0f;
-        aux16[1] = (a[0] >> 4) & 0x0f0f;
-        const float d = (float)x[i].dm[0];
-        const float m = (float)x[i].dm[1];
-        float sum = 0.f;
-        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
-            sum += y[j+ 0] * (d * s[0] * (q[j+ 0] & 0xF) - m * s[2])
-                 + y[j+16] * (d * s[0] * (q[j+16] & 0xF) - m * s[2])
-                 + y[j+32] * (d * s[1] * (q[j+ 0] >>  4) - m * s[3])
-                 + y[j+48] * (d * s[1] * (q[j+16] >>  4) - m * s[3]);
-        }
-        tmp += sum;
-    }
-
-#endif
 
     // sum up partial sums and write back result
     tmp = warp_reduce_sum(tmp);
@@ -355,7 +262,6 @@ static __global__ void dequantize_mul_mat_vec_q5_k(const void * __restrict__ vx,
 
     float tmp = 0; // partial sum for thread in warp
 
-#if QK_K == 256
     const uint16_t kmask1 = 0x3f3f;
     const uint16_t kmask2 = 0x0f0f;
     const uint16_t kmask3 = 0xc0c0;
@@ -426,30 +332,6 @@ static __global__ void dequantize_mul_mat_vec_q5_k(const void * __restrict__ vx,
         tmp += dall * (sum.x * sc[0] + sum.y * sc[1] + sum.z * sc[4] + sum.w * sc[5]) - dmin * smin;
     }
 
-#else
-    const int tid = threadIdx.x/(2*K_QUANTS_PER_ITERATION);  // 0...15
-    const int ix  = threadIdx.x%(2*K_QUANTS_PER_ITERATION);
-    const int step = tid * K_QUANTS_PER_ITERATION;
-    const int im = step/8;
-    const int in = step%8;
-
-    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
-        const uint8_t * q = x[i].qs + step;
-        const int8_t  * s = x[i].scales;
-        const float   * y = yy + i*QK_K + step;
-        const float     d = x[i].d;
-        float sum = 0.f;
-        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
-            const uint8_t h = x[i].qh[in+j] >> im;
-            sum += y[j+ 0] * d * s[0] * ((q[j+ 0] & 0xF) - ((h >> 0) & 1 ? 0 : 16))
-                 + y[j+16] * d * s[1] * ((q[j+16] & 0xF) - ((h >> 2) & 1 ? 0 : 16))
-                 + y[j+32] * d * s[2] * ((q[j+ 0] >>  4) - ((h >> 4) & 1 ? 0 : 16))
-                 + y[j+48] * d * s[3] * ((q[j+16] >>  4) - ((h >> 6) & 1 ? 0 : 16));
-        }
-        tmp += sum;
-    }
-#endif
-
     // sum up partial sums and write back result
     tmp = warp_reduce_sum(tmp);
 
@@ -470,8 +352,6 @@ static __global__ void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx,
 
     const block_q6_K * x = (const block_q6_K *)vx + ib0;
 
-#if QK_K == 256
-
     const int tid = threadIdx.x/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
     const int ix  = threadIdx.x%K_QUANTS_PER_ITERATION;  // 0 or 0, 1
 
@@ -526,37 +406,6 @@ static __global__ void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx,
 
     }
 
-#else
-
-    const int tid = threadIdx.x/(2*K_QUANTS_PER_ITERATION);  // 0...7
-    const int ix  = threadIdx.x%(2*K_QUANTS_PER_ITERATION);  // 0...3
-
-    const int step = tid * K_QUANTS_PER_ITERATION;
-
-    float tmp = 0; // partial sum for thread in warp
-
-    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
-
-        const float   * y  = yy + i * QK_K + step;
-        const uint8_t * ql = x[i].ql + step;
-        const uint8_t * qh = x[i].qh + step;
-        const int8_t  * s  = x[i].scales;
-
-        const float d = x[i+0].d;
-
-        float sum = 0;
-        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
-            sum += y[j+ 0] * s[0] * d * ((int8_t)((ql[j+ 0] & 0xF) | ((qh[j] & 0x03) << 4)) - 32)
-                 + y[j+16] * s[1] * d * ((int8_t)((ql[j+16] & 0xF) | ((qh[j] & 0x0c) << 2)) - 32)
-                 + y[j+32] * s[2] * d * ((int8_t)((ql[j+ 0] >>  4) | ((qh[j] & 0x30) >> 0)) - 32)
-                 + y[j+48] * s[3] * d * ((int8_t)((ql[j+16] >>  4) | ((qh[j] & 0xc0) >> 2)) - 32);
-        }
-        tmp += sum;
-
-    }
-
-#endif
-
     // sum up partial sums and write back result
     tmp = warp_reduce_sum(tmp);
 
diff --git a/ggml-cuda/fattn-common.cuh b/ggml-cuda/fattn-common.cuh
index 33f640691..c00f8606a 100644
--- a/ggml-cuda/fattn-common.cuh
+++ b/ggml-cuda/fattn-common.cuh
@@ -1,7 +1,560 @@
+#pragma once
+
+#include "common.cuh"
+#include "convert.cuh"
+#include "vecdotq.cuh"
+
+#include <cstdint>
+
 #define FATTN_KQ_STRIDE       256
 #define HALF_MAX_HALF         __float2half(65504.0f/2) // Use neg. of this instead of -INFINITY to initialize KQ max vals to avoid NaN upon subtraction.
 #define SOFTMAX_FTZ_THRESHOLD -20.0f                   // Softmax exp. of values smaller than this are flushed to zero to avoid NaNs.
 
+typedef void (* fattn_kernel_t)(
+        const char * __restrict__ Q,
+        const char * __restrict__ K,
+        const char * __restrict__ V,
+        const char * __restrict__ mask,
+        float      * __restrict__ dst,
+        float2     * __restrict__ dst_meta,
+        const float scale,
+        const float max_bias,
+        const float m0,
+        const float m1,
+        const uint32_t n_head_log2,
+        const int ne00,
+        const int ne01,
+        const int ne02,
+        const int ne03,
+        const int ne10,
+        const int ne11,
+        const int ne12,
+        const int ne13,
+        const int ne31,
+        const int nb31,
+        const int nb01,
+        const int nb02,
+        const int nb03,
+        const int nb11,
+        const int nb12,
+        const int nb13,
+        const int nb21,
+        const int nb22,
+        const int nb23,
+        const int ne0,
+        const int ne1,
+        const int ne2,
+        const int ne3);
+
+typedef half (*vec_dot_KQ_f16_t)(
+    const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8 , const void * __restrict__ Q_ds);
+typedef float (*vec_dot_KQ_f32_t)(
+    const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8 , const void * __restrict__ Q_ds);
+
+template<typename T, int D>
+static __device__ __forceinline__ T vec_dot_fattn_vec_KQ_q4_0(
+    const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8, const void * __restrict__ Q_ds_v) {
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+
+    const block_q4_0 * K_q4_0 = (const block_q4_0 *) K_c;
+    GGML_UNUSED(Q_v);
+
+    half sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < D/sizeof(int); k_KQ_0 += WARP_SIZE) {
+        const int k_KQ = k_KQ_0 + threadIdx.x;
+
+        const int ib    = k_KQ /  QI8_1;
+        const int iqs4  = k_KQ %  QI4_0;
+        const int shift = k_KQ & (QI8_1/2);
+
+        const int v = (get_int_from_uint8(K_q4_0[ib].qs, iqs4) >> shift) & 0x0F0F0F0F;
+        const int u = Q_q8[k_KQ_0/WARP_SIZE];
+
+        const int sumi = __dp4a(v, u, 0);
+
+#if FP16_AVAILABLE
+        if (std::is_same<T, half>::value) {
+            const half2  * Q_ds = (const half2  *) Q_ds_v;
+
+            const half2 sum2 = __half2half2(K_q4_0[ib].d) * Q_ds[k_KQ_0/WARP_SIZE];
+            sum += (T) (((half) sumi)*__low2half(sum2) - __high2half(sum2) /* *8/QI8_1 == 1 */);
+        } else
+#endif // FP16_AVAILABLE
+        {
+            const float2 * Q_ds = (const float2 *) Q_ds_v;
+
+            sum += (T) (__half2float(K_q4_0[ib].d) * (sumi*Q_ds[k_KQ_0/WARP_SIZE].x - (8/QI8_1)*Q_ds[k_KQ_0/WARP_SIZE].y));
+        }
+    }
+
+    return sum;
+#else
+    GGML_UNUSED(K_c);
+    GGML_UNUSED(Q_v);
+    GGML_UNUSED(Q_q8);
+    GGML_UNUSED(Q_ds_v);
+    NO_DEVICE_CODE;
+#endif  // __CUDA_ARCH__ >= MIN_CC_DP4A
+}
+
+template<typename T, int D>
+static __device__ __forceinline__ T vec_dot_fattn_vec_KQ_q4_1(
+    const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8, const void * __restrict__ Q_ds_v) {
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+
+    const block_q4_1 * K_q4_1 = (const block_q4_1 *) K_c;
+    GGML_UNUSED(Q_v);
+
+    T sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < D/sizeof(int); k_KQ_0 += WARP_SIZE) {
+        const int k_KQ = k_KQ_0 + threadIdx.x;
+
+        const int ib    = k_KQ /  QI8_1;
+        const int iqs4  = k_KQ %  QI4_1;
+        const int shift = k_KQ & (QI8_1/2);
+
+        const int v = (get_int_from_uint8_aligned(K_q4_1[ib].qs, iqs4) >> shift) & 0x0F0F0F0F;
+        const int u = Q_q8[k_KQ_0/WARP_SIZE];
+
+        const int sumi = __dp4a(v, u, 0);
+
+#if FP16_AVAILABLE
+        if (std::is_same<T, half>::value) {
+            const half2  * Q_ds = (const half2  *) Q_ds_v;
+
+            const half2 d4d8_m4s8 = K_q4_1[ib].dm * Q_ds[k_KQ_0/WARP_SIZE];
+            const half2 sumid4d8_m4s8scaled = d4d8_m4s8 * make_half2(sumi, 1.0f/QI8_1);
+            sum += (T) (__low2half(sumid4d8_m4s8scaled) + __high2half(sumid4d8_m4s8scaled));
+        } else
+#endif // FP16_AVAILABLE
+        {
+            const float2 * Q_ds = (const float2 *) Q_ds_v;
+
+            const float sumid4d8   =  __low2float(K_q4_1[ib].dm)*Q_ds[k_KQ_0/WARP_SIZE].x * sumi;
+            const float m4s8scaled = __high2float(K_q4_1[ib].dm)*Q_ds[k_KQ_0/WARP_SIZE].y / QI8_1;
+
+            sum += (T) (sumid4d8 + m4s8scaled);
+        }
+    }
+
+    return sum;
+#else
+    GGML_UNUSED(K_c);
+    GGML_UNUSED(Q_v);
+    GGML_UNUSED(Q_q8);
+    GGML_UNUSED(Q_ds_v);
+    NO_DEVICE_CODE;
+#endif  // __CUDA_ARCH__ >= MIN_CC_DP4A
+}
+
+template<typename T, int D>
+static __device__ __forceinline__ T vec_dot_fattn_vec_KQ_q5_0(
+    const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8, const void * __restrict__ Q_ds_v) {
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+
+    const block_q5_0 * K_q5_0 = (const block_q5_0 *) K_c;
+    GGML_UNUSED(Q_v);
+
+    T sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < D/sizeof(int); k_KQ_0 += WARP_SIZE) {
+        const int k_KQ = k_KQ_0 + threadIdx.x;
+
+        const int ib    = k_KQ /  QI8_1;
+        const int iqs4  = k_KQ %  QI5_0;
+        const int iqs8  = k_KQ %  QI8_1;
+        const int shift = k_KQ & (QI8_1/2);
+
+        int v = (get_int_from_uint8(K_q5_0[ib].qs, iqs4) >> shift) & 0x0F0F0F0F;
+        const int vh = get_int_from_uint8(K_q5_0[ib].qh, 0) >> (iqs8 * QI5_0);
+        v |= (vh <<  4) & 0x00000010; // 0 ->  4
+        v |= (vh << 11) & 0x00001000; // 1 -> 12
+        v |= (vh << 18) & 0x00100000; // 2 -> 20
+        v |= (vh << 25) & 0x10000000; // 3 -> 28
+
+        const int u = Q_q8[k_KQ_0/WARP_SIZE];
+
+        const int sumi = __dp4a(v, u, 0);
+
+#if FP16_AVAILABLE
+        if (std::is_same<T, half>::value) {
+            const half2  * Q_ds = (const half2  *) Q_ds_v;
+
+            const half2 sum2 = __half2half2(K_q5_0[ib].d) * Q_ds[k_KQ_0/WARP_SIZE];
+            sum += (T) (((half) sumi)*__low2half(sum2) - __high2half(sum2)*__float2half(2.0f)) /* *16/QI8_1 == 2 */;
+        } else
+#endif // FP16_AVAILABLE
+        {
+            const float2 * Q_ds = (const float2 *) Q_ds_v;
+
+            sum += (T) (__half2float(K_q5_0[ib].d) * (sumi*Q_ds[k_KQ_0/WARP_SIZE].x - (16/QI8_1)*Q_ds[k_KQ_0/WARP_SIZE].y));
+        }
+    }
+
+    return sum;
+#else
+    GGML_UNUSED(K_c);
+    GGML_UNUSED(Q_v);
+    GGML_UNUSED(Q_q8);
+    GGML_UNUSED(Q_ds_v);
+    NO_DEVICE_CODE;
+#endif  // __CUDA_ARCH__ >= MIN_CC_DP4A
+}
+
+template<typename T, int D>
+static __device__ __forceinline__ T vec_dot_fattn_vec_KQ_q5_1(
+    const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8, const void * __restrict__ Q_ds_v) {
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+
+    const block_q5_1 * K_q5_1 = (const block_q5_1 *) K_c;
+    GGML_UNUSED(Q_v);
+
+    T sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < D/sizeof(int); k_KQ_0 += WARP_SIZE) {
+        const int k_KQ = k_KQ_0 + threadIdx.x;
+
+        const int ib    = k_KQ /  QI8_1;
+        const int iqs4  = k_KQ %  QI5_1;
+        const int iqs8  = k_KQ %  QI8_1;
+        const int shift = k_KQ & (QI8_1/2);
+
+        int v = (get_int_from_uint8(K_q5_1[ib].qs, iqs4) >> shift) & 0x0F0F0F0F;
+        const int vh = get_int_from_uint8(K_q5_1[ib].qh, 0) >> (iqs8 * QI5_1);
+        v |= (vh <<  4) & 0x00000010; // 0 ->  4
+        v |= (vh << 11) & 0x00001000; // 1 -> 12
+        v |= (vh << 18) & 0x00100000; // 2 -> 20
+        v |= (vh << 25) & 0x10000000; // 3 -> 28
+
+        const int u = Q_q8[k_KQ_0/WARP_SIZE];
+
+        const int sumi = __dp4a(v, u, 0);
+
+#if FP16_AVAILABLE
+        if (std::is_same<T, half>::value) {
+            const half2  * Q_ds = (const half2  *) Q_ds_v;
+
+            const half2 d5d8_m5s8 = K_q5_1[ib].dm * Q_ds[k_KQ_0/WARP_SIZE];
+            const half2 sumid5d8_m5s8scaled = d5d8_m5s8 * make_half2(sumi, 1.0f/QI8_1);
+            sum += (T) (__low2half(sumid5d8_m5s8scaled) + __high2half(sumid5d8_m5s8scaled));
+        } else
+#endif // FP16_AVAILABLE
+        {
+            const float2 * Q_ds = (const float2 *) Q_ds_v;
+
+            const float sumid5d8   =  __low2float(K_q5_1[ib].dm)*Q_ds[k_KQ_0/WARP_SIZE].x * sumi;
+            const float m5s8scaled = __high2float(K_q5_1[ib].dm)*Q_ds[k_KQ_0/WARP_SIZE].y / QI8_1;
+
+            sum += (T) (sumid5d8 + m5s8scaled);
+        }
+    }
+
+    return sum;
+#else
+    GGML_UNUSED(K_c);
+    GGML_UNUSED(Q_v);
+    GGML_UNUSED(Q_q8);
+    GGML_UNUSED(Q_ds_v);
+    NO_DEVICE_CODE;
+#endif  // __CUDA_ARCH__ >= MIN_CC_DP4A
+}
+
+template <typename T, int D>
+static __device__ __forceinline__ T vec_dot_fattn_vec_KQ_q8_0(
+    const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8, const void * __restrict__ Q_ds_v) {
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+
+    const block_q8_0 * K_q8_0 = (const block_q8_0 *) K_c;
+    GGML_UNUSED(Q_v);
+
+    T sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < D/sizeof(int); k_KQ_0 += WARP_SIZE) {
+        const int k_KQ = k_KQ_0 + threadIdx.x;
+
+        const int ib  = k_KQ / QI8_0;
+        const int iqs = k_KQ % QI8_0;
+
+        const int v = get_int_from_int8(K_q8_0[ib].qs, iqs);
+
+        T Q_d;
+        if (std::is_same<T, half>::value) {
+            const half2  * Q_ds = (const half2  *) Q_ds_v;
+            Q_d = __low2half(Q_ds[k_KQ_0/WARP_SIZE]);
+        } else {
+            const float2 * Q_ds = (const float2 *) Q_ds_v;
+            Q_d = Q_ds[k_KQ_0/WARP_SIZE].x;
+        }
+
+        sum += vec_dot_q8_0_q8_1_impl<T, 1>(&v, &Q_q8[k_KQ_0/WARP_SIZE], K_q8_0[ib].d, Q_d);
+    }
+
+    return sum;
+#else
+    GGML_UNUSED(K_c);
+    GGML_UNUSED(Q_v);
+    GGML_UNUSED(Q_q8);
+    GGML_UNUSED(Q_ds_v);
+    NO_DEVICE_CODE;
+#endif  // __CUDA_ARCH__ >= MIN_CC_DP4A
+}
+
+template <typename T, int D>
+static __device__ __forceinline__ T vec_dot_fattn_vec_KQ_f16(
+    const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8 , const void * __restrict__ Q_ds_v) {
+
+    const half2 * K_h2 = (const half2 *) K_c;
+    GGML_UNUSED(Q_q8);
+    GGML_UNUSED(Q_ds_v);
+
+#if FP16_AVAILABLE
+    if (std::is_same<T, half>::value) {
+        const half2 * Q_h2 = (const half2 *) Q_v;
+
+        half2 sum2 = make_half2(0.0f, 0.0f);
+
+#pragma unroll
+        for (int k_KQ_0 = 0; k_KQ_0 < D/2; k_KQ_0 += WARP_SIZE) {
+            const int k_KQ = k_KQ_0 + threadIdx.x;
+
+            const half2 K_ik = K_h2[k_KQ];
+            sum2 += K_ik * Q_h2[k_KQ_0/WARP_SIZE];
+        }
+
+        return __low2half(sum2) + __high2half(sum2);
+    }
+#endif // FP16_AVAILABLE
+
+    const float2 * Q_f2 = (const float2 *) Q_v;
+
+    float sum = 0.0f;
+
+#pragma unroll
+    for (int k_KQ_0 = 0; k_KQ_0 < D/2; k_KQ_0 += WARP_SIZE) {
+        const int k_KQ = k_KQ_0 + threadIdx.x;
+
+        const half2 K_ik = K_h2[k_KQ];
+        sum +=  __low2float(K_ik) * Q_f2[k_KQ_0/WARP_SIZE].x;
+        sum += __high2float(K_ik) * Q_f2[k_KQ_0/WARP_SIZE].y;
+    }
+
+    return sum;
+}
+
+template <typename Tds>
+static __device__ __forceinline__ void quantize_q8_1_to_shared(
+    const float * __restrict__ x, const float scale, int * __restrict__ yq32, void * __restrict__ yds) {
+
+    float vals[sizeof(int)] = {0.0f};
+#pragma unroll
+    for (int l = 0; l < sizeof(int); ++l) {
+        vals[l] = scale * x[4*threadIdx.x + l];
+    }
+
+    float amax = fabsf(vals[0]);
+    float sum  = vals[0];
+#pragma unroll
+    for (int l = 1; l < sizeof(int); ++l) {
+        amax = fmaxf(amax, fabsf(vals[l]));
+        sum += vals[l];
+    }
+#pragma unroll
+    for (int mask = QI8_1/2; mask > 0; mask >>= 1) {
+        amax = fmaxf(amax, __shfl_xor_sync(0xFFFFFFFF, amax, mask, 32));
+        sum +=             __shfl_xor_sync(0xFFFFFFFF, sum,  mask, 32);
+    }
+
+    const float d = amax / 127;
+    int q32 = 0;
+    int8_t * q8 = (int8_t *) &q32;
+
+    if (d != 0.0f) {
+#pragma unroll
+        for (int l = 0; l < sizeof(int); ++l) {
+            q8[l] = roundf(vals[l] / d);
+        }
+    }
+
+    yq32[threadIdx.x] = q32;
+    if (threadIdx.x % QI8_1 == 0) {
+        if (std::is_same<Tds, half2>::value) {
+            ((half2  *) yds)[threadIdx.x/QI8_1] =  make_half2(d, sum);
+        } else {
+            ((float2 *) yds)[threadIdx.x/QI8_1] = make_float2(d, sum);
+        }
+    }
+}
+
+typedef half  (*dequantize_1_f16_t)(const void *, const int64_t);
+typedef float (*dequantize_1_f32_t)(const void *, const int64_t);
+
+template <typename T>
+static __device__ __forceinline__ T dequantize_1_q4_0(const void * __restrict__ vx, const int64_t i) {
+    const block_q4_0 * x = (const block_q4_0 *) vx;
+
+    const int64_t ib    =  i          /  QK4_0;
+    const int     iqs   =  i          % (QK4_0/2);
+    const int     shift = (i % QK4_0) / (QK4_0/2);
+
+    const T   d  = x[ib].d;
+    const int q0 = x[ib].qs[iqs];
+    const int q  = ((q0 >> (4*shift)) & 0x0F) - 8;
+
+#if FP16_AVAILABLE
+    if (std::is_same<T, half>::value) {
+        return ((half) d)*((half) q);
+    }
+#endif // FP16_AVAILABLE
+
+    return ((float) d)*((float) q);
+}
+
+template <typename T>
+static __device__ __forceinline__ T dequantize_1_q4_1(const void * __restrict__ vx, const int64_t i) {
+    const block_q4_1 * x = (const block_q4_1 *) vx;
+
+    const int64_t ib    =  i          /  QK4_1;
+    const int     iqs   =  i          % (QK4_1/2);
+    const int     shift = (i % QK4_1) / (QK4_1/2);
+
+    const half2 dm = x[ib].dm;
+    const int   q0 = x[ib].qs[iqs];
+    const int   q  = ((q0 >> (4*shift)) & 0x0F);
+
+#if FP16_AVAILABLE
+    if (std::is_same<T, half>::value) {
+        return __low2half(dm)*((half) q) + __high2half(dm);
+    }
+#endif // FP16_AVAILABLE
+
+    return __low2float(dm)*((float) q) + __high2float(dm);
+}
+
+template <typename T>
+static __device__ __forceinline__ T dequantize_1_q5_0(const void * __restrict__ vx, const int64_t i) {
+    const block_q5_0 * x = (const block_q5_0 *) vx;
+
+    const int64_t ib    =  i          /  QK5_0;
+    const int     idq   =  i          %  QK5_0;
+    const int     iqs   =  i          % (QK5_0/2);
+    const int     shift = (i % QK5_0) / (QK5_0/2);
+
+    const T   d   = x[ib].d;
+    const int ql0 = x[ib].qs[iqs];
+    const int qh0 = get_int_from_uint8(x[ib].qh, 0);
+    const int ql  = ((ql0 >> (4*shift)) & 0x0F);
+    const int qh  = ((qh0 >> idq) << 4) & 0x10;
+    const int q   = (ql | qh) - 16;
+
+#if FP16_AVAILABLE
+    if (std::is_same<T, half>::value) {
+        return ((half) d)*((half) q);
+    }
+#endif // FP16_AVAILABLE
+
+    return ((float) d)*((float) q);
+}
+
+template <typename T>
+static __device__ __forceinline__ T dequantize_1_q5_1(const void * __restrict__ vx, const int64_t i) {
+    const block_q5_1 * x = (const block_q5_1 *) vx;
+
+    const int64_t ib    =  i          /  QK5_1;
+    const int     idq   =  i          %  QK5_1;
+    const int     iqs   =  i          % (QK5_1/2);
+    const int     shift = (i % QK5_1) / (QK5_1/2);
+
+    const half2 dm  = x[ib].dm;
+    const int   ql0 = x[ib].qs[iqs];
+    const int   qh0 = get_int_from_uint8_aligned(x[ib].qh, 0);
+    const int   ql  = ((ql0 >> (4*shift)) & 0x0F);
+    const int   qh  = ((qh0 >> idq) << 4) & 0x10;
+    const int   q   = (ql | qh);
+
+#if FP16_AVAILABLE
+    if (std::is_same<T, half>::value) {
+        return __low2half(dm)*((half) q) + __high2half(dm);
+    }
+#endif // FP16_AVAILABLE
+
+    return __low2float(dm)*((float) q) + __high2float(dm);
+}
+
+template <typename T>
+static __device__ __forceinline__ T dequantize_1_q8_0(const void * __restrict__ vx, const int64_t i) {
+    const block_q8_0 * x = (const block_q8_0 *) vx;
+
+    const int64_t ib  = i / QK8_0;
+    const int     iqs = i % QK8_0;
+
+    const T   d = x[ib].d;
+    const int q = x[ib].qs[iqs];
+
+#if FP16_AVAILABLE
+    if (std::is_same<T, half>::value) {
+        return ((half) d)*((half) q);
+    }
+#endif // FP16_AVAILABLE
+
+    return ((float) d)*((float) q);
+}
+
+template <typename T>
+static __device__ __forceinline__ T dequantize_1_f16(const void * __restrict__ vx, const int64_t i) {
+    const half * x = (const half *) vx;
+
+    return x[i];
+}
+
+template <int D>
+constexpr __device__ vec_dot_KQ_f16_t get_vec_dot_KQ_f16(ggml_type type_K) {
+    return type_K == GGML_TYPE_Q4_0 ? vec_dot_fattn_vec_KQ_q4_0<half, D> :
+        type_K == GGML_TYPE_Q4_1 ? vec_dot_fattn_vec_KQ_q4_1<half, D> :
+        type_K == GGML_TYPE_Q5_0 ? vec_dot_fattn_vec_KQ_q5_0<half, D> :
+        type_K == GGML_TYPE_Q5_1 ? vec_dot_fattn_vec_KQ_q5_1<half, D> :
+        type_K == GGML_TYPE_Q8_0 ? vec_dot_fattn_vec_KQ_q8_0<half, D> :
+        type_K == GGML_TYPE_F16 ? vec_dot_fattn_vec_KQ_f16<half, D> :
+        nullptr;
+}
+
+template <int D>
+constexpr __device__ vec_dot_KQ_f32_t get_vec_dot_KQ_f32(ggml_type type_K) {
+    return type_K == GGML_TYPE_Q4_0 ? vec_dot_fattn_vec_KQ_q4_0<float, D> :
+        type_K == GGML_TYPE_Q4_1 ? vec_dot_fattn_vec_KQ_q4_1<float, D> :
+        type_K == GGML_TYPE_Q5_0 ? vec_dot_fattn_vec_KQ_q5_0<float, D> :
+        type_K == GGML_TYPE_Q5_1 ? vec_dot_fattn_vec_KQ_q5_1<float, D> :
+        type_K == GGML_TYPE_Q8_0 ? vec_dot_fattn_vec_KQ_q8_0<float, D> :
+        type_K == GGML_TYPE_F16 ? vec_dot_fattn_vec_KQ_f16<float, D> :
+        nullptr;
+}
+
+constexpr __device__ dequantize_1_f16_t get_dequantize_1_f16(ggml_type type_V) {
+    return type_V == GGML_TYPE_Q4_0 ? dequantize_1_q4_0<half> :
+        type_V == GGML_TYPE_Q4_1 ? dequantize_1_q4_1<half> :
+        type_V == GGML_TYPE_Q5_0 ? dequantize_1_q5_0<half> :
+        type_V == GGML_TYPE_Q5_1 ? dequantize_1_q5_1<half> :
+        type_V == GGML_TYPE_Q8_0 ? dequantize_1_q8_0<half> :
+        type_V == GGML_TYPE_F16 ? dequantize_1_f16<half> :
+        nullptr;
+}
+
+constexpr __device__ dequantize_1_f32_t get_dequantize_1_f32(ggml_type type_V) {
+    return type_V == GGML_TYPE_Q4_0 ? dequantize_1_q4_0<float> :
+        type_V == GGML_TYPE_Q4_1 ? dequantize_1_q4_1<float> :
+        type_V == GGML_TYPE_Q5_0 ? dequantize_1_q5_0<float> :
+        type_V == GGML_TYPE_Q5_1 ? dequantize_1_q5_1<float> :
+        type_V == GGML_TYPE_Q8_0 ? dequantize_1_q8_0<float> :
+        type_V == GGML_TYPE_F16 ? dequantize_1_f16<float> :
+        nullptr;
+}
+
 template<int D, int parallel_blocks> // D == head size
 #if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
 __launch_bounds__(D, 1)
@@ -45,3 +598,144 @@ static __global__ void flash_attn_combine_results(
 
     dst[blockIdx.y*D + tid] = VKQ_numerator / VKQ_denominator;
 }
+
+static void on_no_fattn_vec_case(const int D) {
+    if (D == 64) {
+        fprintf(stderr, "Unsupported KV type combination for head_size 64.\n");
+        fprintf(stderr, "By default only f16 KV cache is supported.\n");
+        fprintf(stderr, "Compile with LLAMA_CUDA_FA_ALL_QUANTS for V cache quantization support.\n");
+        GGML_ASSERT(false);
+    } else if (D == 128) {
+        fprintf(stderr, "Unsupported KV type combination for head_size 128.\n");
+        fprintf(stderr, "Supported combinations:\n");
+        fprintf(stderr, "  - K == q4_0, V == q4_0,  4.50 BPV\n");
+        fprintf(stderr, "  - K == q8_0, V == q8_0,  8.50 BPV\n");
+        fprintf(stderr, "  - K == f16,  V == f16,  16.00 BPV\n");
+        fprintf(stderr, "Compile with LLAMA_CUDA_FA_ALL_QUANTS for all combinations of q4_0, q4_1, q5_0, q5_1, q8_0, and f16.\n");
+        GGML_ASSERT(false);
+    } else {
+        fprintf(stderr, "Unsupported KV type combination for head_size 256.\n");
+        fprintf(stderr, "Only f16 is supported.\n");
+        GGML_ASSERT(false);
+    }
+}
+
+template <int D, int parallel_blocks>
+void launch_fattn(
+    ggml_backend_cuda_context & ctx, ggml_tensor * dst, fattn_kernel_t fattn_kernel,
+    const int nwarps, const int cols_per_block, const bool need_f16_K, const bool need_f16_V
+) {
+    const ggml_tensor * Q = dst->src[0];
+    const ggml_tensor * K = dst->src[1];
+    const ggml_tensor * V = dst->src[2];
+
+    const ggml_tensor * mask = dst->src[3];
+
+    ggml_tensor * KQV = dst;
+
+    GGML_ASSERT(Q->type == GGML_TYPE_F32);
+    GGML_ASSERT(KQV->type == GGML_TYPE_F32);
+
+    GGML_ASSERT(!mask || mask->type == GGML_TYPE_F16);
+    GGML_ASSERT(!mask || mask->ne[1] >= GGML_PAD(Q->ne[1], 16) &&
+                                "the Flash-Attention CUDA kernel requires the mask to be padded to 16 and at least n_queries big");
+
+    GGML_ASSERT(K->ne[1] % FATTN_KQ_STRIDE == 0 && "Incorrect KV cache padding.");
+
+    ggml_cuda_pool & pool = ctx.pool();
+    cudaStream_t main_stream = ctx.stream();
+
+    ggml_cuda_pool_alloc<half>   K_f16(pool);
+    ggml_cuda_pool_alloc<half>   V_f16(pool);
+    ggml_cuda_pool_alloc<float>  dst_tmp(pool);
+    ggml_cuda_pool_alloc<float2> dst_tmp_meta(pool);
+
+    char * K_data = (char *) K->data;
+    size_t nb11 = K->nb[1];
+    size_t nb12 = K->nb[2];
+    size_t nb13 = K->nb[3];
+
+    char * V_data = (char *) V->data;
+    size_t nb21 = V->nb[1];
+    size_t nb22 = V->nb[2];
+    size_t nb23 = V->nb[3];
+
+    if (need_f16_K && K->type != GGML_TYPE_F16) {
+        K_f16.alloc(ggml_nelements(K));
+        to_fp16_cuda_t to_fp16 = ggml_get_to_fp16_cuda(K->type);
+        to_fp16(K_data, K_f16.ptr, ggml_nelements(K), main_stream);
+        K_data = (char *) K_f16.ptr;
+
+        const size_t bs = ggml_blck_size(K->type);
+        const size_t ts = ggml_type_size(K->type);
+
+        nb11 = nb11*bs*sizeof(half)/ts;
+        nb12 = nb12*bs*sizeof(half)/ts;
+        nb13 = nb13*bs*sizeof(half)/ts;
+    }
+
+    if (need_f16_V && V->type != GGML_TYPE_F16) {
+        V_f16.alloc(ggml_nelements(V));
+        to_fp16_cuda_t to_fp16 = ggml_get_to_fp16_cuda(V->type);
+        to_fp16(V_data, V_f16.ptr, ggml_nelements(V), main_stream);
+        V_data = (char *) V_f16.ptr;
+
+        const size_t bs = ggml_blck_size(V->type);
+        const size_t ts = ggml_type_size(V->type);
+
+        nb21 = nb21*bs*sizeof(half)/ts;
+        nb22 = nb22*bs*sizeof(half)/ts;
+        nb23 = nb23*bs*sizeof(half)/ts;
+    }
+
+    if (parallel_blocks > 1) {
+        dst_tmp.alloc(parallel_blocks*ggml_nelements(KQV));
+        dst_tmp_meta.alloc(parallel_blocks*ggml_nrows(KQV));
+    }
+
+    const dim3 block_dim(WARP_SIZE, nwarps, 1);
+    const dim3 blocks_num(parallel_blocks*((Q->ne[1] + cols_per_block - 1) / cols_per_block), Q->ne[2], Q->ne[3]);
+    const int  shmem = 0;
+
+    float scale    = 1.0f;
+    float max_bias = 0.0f;
+
+    memcpy(&scale,    (float *) KQV->op_params + 0, sizeof(float));
+    memcpy(&max_bias, (float *) KQV->op_params + 1, sizeof(float));
+
+    const uint32_t n_head      = Q->ne[2];
+    const uint32_t n_head_log2 = 1u << (uint32_t) floorf(log2f((float) n_head));
+
+    const float m0 = powf(2.0f, -(max_bias       ) / n_head_log2);
+    const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
+
+    fattn_kernel<<<blocks_num, block_dim, shmem, main_stream>>>(
+        (const char *) Q->data,
+        K_data,
+        V_data,
+        mask ? ((const char *) mask->data) : nullptr,
+        (parallel_blocks) == 1 ? (float *) KQV->data : dst_tmp.ptr, dst_tmp_meta.ptr,
+        scale, max_bias, m0, m1, n_head_log2,
+        Q->ne[0], Q->ne[1], Q->ne[2], Q->ne[3],
+        K->ne[0], K->ne[1], K->ne[2], K->ne[3],
+        mask ? mask->ne[1] : 0, mask ?  mask->nb[1] : 0,
+        Q->nb[1], Q->nb[2], Q->nb[3],
+        nb11, nb12, nb13,
+        nb21, nb22, nb23,
+        KQV->ne[0], KQV->ne[1], KQV->ne[2], KQV->ne[3]
+    );
+    CUDA_CHECK(cudaGetLastError());
+
+    if ((parallel_blocks) == 1) {
+        return;
+    }
+
+    const dim3 block_dim_combine(D, 1, 1);
+    const dim3 blocks_num_combine(Q->ne[1], blocks_num.y, blocks_num.z);
+    const int  shmem_combine = 0;
+
+    flash_attn_combine_results<D, parallel_blocks>
+        <<<blocks_num_combine, block_dim_combine, shmem_combine, main_stream>>>
+        (dst_tmp.ptr, dst_tmp_meta.ptr, (float *) KQV->data);
+    CUDA_CHECK(cudaGetLastError());
+}
diff --git a/ggml-cuda/fattn-tile-f16.cu b/ggml-cuda/fattn-tile-f16.cu
new file mode 100644
index 000000000..cb11d7212
--- /dev/null
+++ b/ggml-cuda/fattn-tile-f16.cu
@@ -0,0 +1,319 @@
+#include "common.cuh"
+#include "fattn-common.cuh"
+#include "fattn-tile-f16.cuh"
+
+#define FATTN_KQ_STRIDE_TILE_F16 64
+
+template<int D, int ncols, int nwarps, int parallel_blocks> // D == head size
+#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
+__launch_bounds__(nwarps*WARP_SIZE, 1)
+#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
+static __global__ void flash_attn_tile_ext_f16(
+        const char * __restrict__ Q,
+        const char * __restrict__ K,
+        const char * __restrict__ V,
+        const char * __restrict__ mask,
+        float      * __restrict__ dst,
+        float2     * __restrict__ dst_meta,
+        const float scale,
+        const float max_bias,
+        const float m0,
+        const float m1,
+        const uint32_t n_head_log2,
+        const int ne00,
+        const int ne01,
+        const int ne02,
+        const int ne03,
+        const int ne10,
+        const int ne11,
+        const int ne12,
+        const int ne13,
+        const int ne31,
+        const int nb31,
+        const int nb01,
+        const int nb02,
+        const int nb03,
+        const int nb11,
+        const int nb12,
+        const int nb13,
+        const int nb21,
+        const int nb22,
+        const int nb23,
+        const int ne0,
+        const int ne1,
+        const int ne2,
+        const int ne3) {
+#if FP16_AVAILABLE
+    //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
+
+    const int ic0 = (blockIdx.x / parallel_blocks) * ncols; // Index of the Q/QKV column to work on.
+    const int ip  =  blockIdx.x % parallel_blocks; // Index in group of blocks running for the same column in parallel.
+
+    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
+    const float2 * Q_f2  = (const float2 *) (Q    + nb02* blockIdx.y              + nb01*ic0);
+    const half2  * K_h2  = (const half2  *) (K    + nb12*(blockIdx.y / gqa_ratio));
+    const half2  * V_h2  = (const half2  *) (V    + nb12*(blockIdx.y / gqa_ratio)); // K and V have same shape
+    const half   * maskh = (const half   *)  mask + ne11*ic0;
+
+    const int stride_KV2 = nb11 / sizeof(half2);
+
+    const float slopef = get_alibi_slope(max_bias, blockIdx.y, n_head_log2, m0, m1);
+    const half  slopeh = __float2half(slopef);
+
+    static_assert(D % (2*WARP_SIZE) == 0, "D not divisible by 2*WARP_SIZE == 64.");
+
+    __shared__ half KQ[ncols*FATTN_KQ_STRIDE_TILE_F16];
+    half2 * KQ2 = (half2 *) KQ;
+
+    __shared__ half2 KV_tmp[FATTN_KQ_STRIDE_TILE_F16][D/2 + 1]; // Pad D to avoid memory bank conflicts.
+
+    half kqmax[ncols/nwarps];
+#pragma unroll
+    for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+        kqmax[j0/nwarps] = -HALF_MAX_HALF;
+    }
+    half2 kqsum[ncols/nwarps] = {{0.0f, 0.0f}};
+
+    half2 VKQ[ncols/nwarps][(D/2)/WARP_SIZE] = {{{0.0f, 0.0f}}};
+
+    // Convert Q to half2 and store in registers:
+    __shared__ half2 Q_h2[ncols][D/2];
+#pragma unroll
+    for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+#pragma unroll
+        for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+
+            const float2 tmp = ic0 + j < ne01 ? Q_f2[j*(nb01/sizeof(float2)) + i] : make_float2(0.0f, 0.0f);
+            Q_h2[j][i] = make_half2(scale, scale) * make_half2(tmp.x, tmp.y);
+        }
+    }
+
+    __syncthreads();
+
+    const int k_start = parallel_blocks == 1 ? 0 : ip*FATTN_KQ_STRIDE_TILE_F16;
+    for (int k_VKQ_0 = k_start; k_VKQ_0 < ne11; k_VKQ_0 += parallel_blocks*FATTN_KQ_STRIDE_TILE_F16) {
+        // Calculate KQ tile and keep track of new maximum KQ values:
+
+        half kqmax_new[ncols/nwarps];
+#pragma unroll
+        for (int j = 0; j < ncols/nwarps; ++j) {
+            kqmax_new[j] = kqmax[j];
+        }
+
+#pragma unroll
+        for (int i_KQ_0 = 0; i_KQ_0 < FATTN_KQ_STRIDE_TILE_F16; i_KQ_0 += nwarps) {
+            const int i_KQ = i_KQ_0 + threadIdx.y;
+
+#pragma unroll
+            for (int k_KQ_0 = 0; k_KQ_0 < D/2; k_KQ_0 += WARP_SIZE) {
+                const int k_KQ = k_KQ_0 + threadIdx.x;
+
+                KV_tmp[i_KQ][k_KQ] = K_h2[(k_VKQ_0 + i_KQ)*stride_KV2 + k_KQ];
+            }
+        }
+
+        __syncthreads();
+
+        half2 sum2[FATTN_KQ_STRIDE_TILE_F16/WARP_SIZE][ncols/nwarps] = {{{0.0f, 0.0f}}};
+
+#pragma unroll
+        for (int k_KQ = 0; k_KQ < D/2; ++k_KQ) {
+            half2 K_k[FATTN_KQ_STRIDE_TILE_F16/WARP_SIZE];
+            half2 Q_k[ncols/nwarps];
+
+#pragma unroll
+            for (int i_KQ_0 = 0; i_KQ_0 < FATTN_KQ_STRIDE_TILE_F16; i_KQ_0 += WARP_SIZE) {
+                const int i_KQ = i_KQ_0 + threadIdx.x;
+
+                K_k[i_KQ_0/WARP_SIZE] = KV_tmp[i_KQ][k_KQ];
+            }
+#pragma unroll
+            for (int j_KQ_0 = 0; j_KQ_0 < ncols; j_KQ_0 += nwarps) {
+                const int j_KQ = j_KQ_0 + threadIdx.y;
+
+                Q_k[j_KQ_0/nwarps] = Q_h2[j_KQ][k_KQ];
+            }
+
+#pragma unroll
+            for (int i_KQ_0 = 0; i_KQ_0 < FATTN_KQ_STRIDE_TILE_F16; i_KQ_0 += WARP_SIZE) {
+#pragma unroll
+                for (int j_KQ_0 = 0; j_KQ_0 < ncols; j_KQ_0 += nwarps) {
+                    sum2[i_KQ_0/WARP_SIZE][j_KQ_0/nwarps] += K_k[i_KQ_0/WARP_SIZE]*Q_k[j_KQ_0/nwarps];
+                }
+            }
+        }
+
+#pragma unroll
+        for (int i_KQ_0 = 0; i_KQ_0 < FATTN_KQ_STRIDE_TILE_F16; i_KQ_0 += WARP_SIZE) {
+            const int i_KQ = i_KQ_0 + threadIdx.x;
+
+#pragma unroll
+            for (int j_KQ_0 = 0; j_KQ_0 < ncols; j_KQ_0 += nwarps) {
+                const int j_KQ = j_KQ_0 + threadIdx.y;
+
+                half sum = __low2half(sum2[i_KQ_0/WARP_SIZE][j_KQ_0/nwarps]) + __high2half(sum2[i_KQ_0/WARP_SIZE][j_KQ_0/nwarps]);
+                sum += mask ? slopeh*maskh[j_KQ*ne11 + k_VKQ_0 + i_KQ] : __float2half(0.0f);
+
+                kqmax_new[j_KQ_0/nwarps] = ggml_cuda_hmax(kqmax_new[j_KQ_0/nwarps], sum);
+
+                KQ[j_KQ*FATTN_KQ_STRIDE_TILE_F16 + i_KQ] = sum;
+            }
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+            const int j = j0 + threadIdx.y;
+
+            kqmax_new[j0/nwarps] = warp_reduce_max(kqmax_new[j0/nwarps]);
+            const half2 KQ_max_scale = __half2half2(hexp(kqmax[j0/nwarps] - kqmax_new[j0/nwarps]));
+            kqmax[j0/nwarps] = kqmax_new[j0/nwarps];
+
+#pragma unroll
+            for (int i0 = 0; i0 < FATTN_KQ_STRIDE_TILE_F16/2; i0 += WARP_SIZE) {
+                const int i = i0 + threadIdx.x;
+
+                const half2 diff = KQ2[j*(FATTN_KQ_STRIDE_TILE_F16/2) + i] - __half2half2(kqmax[j0/nwarps]);
+                const half2 val = h2exp(diff);
+                kqsum[j0/nwarps] = kqsum[j0/nwarps]*KQ_max_scale + val;
+                KQ2[j*(FATTN_KQ_STRIDE_TILE_F16/2) + i] = val;
+            }
+
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+                VKQ[j0/nwarps][i0/WARP_SIZE] *= KQ_max_scale;
+            }
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int k0 = 0; k0 < FATTN_KQ_STRIDE_TILE_F16; k0 += nwarps) {
+            const int k = k0 + threadIdx.y;
+
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+                const int i = i0 + threadIdx.x;
+
+                KV_tmp[k][i] = V_h2[(k_VKQ_0 + k)*stride_KV2 + i];
+            }
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int k0 = 0; k0 < FATTN_KQ_STRIDE_TILE_F16; k0 += 2) {
+            half2  V_k[(D/2)/WARP_SIZE][2];
+            half2 KQ_k[ncols/nwarps];
+
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+                const int i = i0 + threadIdx.x;
+
+                V_k[i0/WARP_SIZE][0] = KV_tmp[k0 + 0][i];
+                V_k[i0/WARP_SIZE][1] = KV_tmp[k0 + 1][i];
+            }
+#pragma unroll
+            for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+                const int j = j0 + threadIdx.y;
+
+                KQ_k[j0/nwarps] = KQ2[j*(FATTN_KQ_STRIDE_TILE_F16/2) + k0/2];
+            }
+
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+#pragma unroll
+                for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+                    VKQ[j0/nwarps][i0/WARP_SIZE] += V_k[i0/WARP_SIZE][0]* __low2half2(KQ_k[j0/nwarps]);
+                    VKQ[j0/nwarps][i0/WARP_SIZE] += V_k[i0/WARP_SIZE][1]*__high2half2(KQ_k[j0/nwarps]);
+                }
+            }
+        }
+
+        __syncthreads();
+    }
+
+#pragma unroll
+    for (int j_VKQ_0 = 0; j_VKQ_0 < ncols; j_VKQ_0 += nwarps) {
+        const int j_VKQ = j_VKQ_0 + threadIdx.y;
+
+        if (ic0 + j_VKQ >= ne01) {
+            return;
+        }
+
+        half kqsum_j = __low2half(kqsum[j_VKQ_0/nwarps]) + __high2half(kqsum[j_VKQ_0/nwarps]);
+        kqsum_j = warp_reduce_sum(kqsum_j);
+
+#pragma unroll
+        for (int i00 = 0; i00 < D; i00 += 2*WARP_SIZE) {
+            const int i0 = i00 + 2*threadIdx.x;
+
+            half2 dst_val = VKQ[j_VKQ_0/nwarps][i0/(2*WARP_SIZE)];
+            if (parallel_blocks == 1) {
+                dst_val /= __half2half2(kqsum_j);
+            }
+            const int j_dst = (ic0 + j_VKQ)*parallel_blocks + ip;
+            dst[j_dst*D*gridDim.y + D*blockIdx.y + i0 + 0] =  __low2float(dst_val);
+            dst[j_dst*D*gridDim.y + D*blockIdx.y + i0 + 1] = __high2float(dst_val);
+        }
+
+        if (parallel_blocks != 1 && threadIdx.x == 0) {
+            dst_meta[(ic0 + j_VKQ)*gridDim.y*parallel_blocks + blockIdx.y*parallel_blocks + ip] = make_float2(kqmax[j_VKQ_0/nwarps], kqsum_j);
+        }
+    }
+#else
+   NO_DEVICE_CODE;
+#endif // FP16_AVAILABLE
+}
+
+template <int cols_per_block, int parallel_blocks>
+void launch_fattn_tile_f16_64_128(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * Q = dst->src[0];
+    switch (Q->ne[0]) {
+        case  64: {
+            constexpr int      D = 64;
+            constexpr int nwarps = 8;
+            fattn_kernel_t fattn_kernel = flash_attn_tile_ext_f16<D, cols_per_block, nwarps, parallel_blocks>;
+            launch_fattn<D, parallel_blocks>(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true);
+        } break;
+        case 128: {
+            constexpr int      D = 128;
+            constexpr int nwarps = 8;
+            fattn_kernel_t fattn_kernel = flash_attn_tile_ext_f16<D, cols_per_block, nwarps, parallel_blocks>;
+            launch_fattn<D, parallel_blocks>(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true);
+        } break;
+        default: {
+            GGML_ASSERT(false && "FlashAttention without tensor cores only supports head sizes 64 and 128.");
+        } break;
+    }
+}
+
+void ggml_cuda_flash_attn_ext_tile_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * KQV = dst;
+    const ggml_tensor * Q   = dst->src[0];
+
+    const int32_t precision = KQV->op_params[2];
+    GGML_ASSERT(precision == GGML_PREC_DEFAULT);
+
+    if (Q->ne[1] <= 16) {
+        constexpr int cols_per_block = 16;
+        constexpr int parallel_blocks = 4;
+        launch_fattn_tile_f16_64_128<cols_per_block, parallel_blocks>(ctx, dst);
+        return;
+    }
+
+    if (Q->ne[1] <= 32) {
+        constexpr int cols_per_block = 32;
+        constexpr int parallel_blocks = 4;
+        launch_fattn_tile_f16_64_128<cols_per_block, parallel_blocks>(ctx, dst);
+        return;
+    }
+
+    constexpr int cols_per_block = 32;
+    constexpr int parallel_blocks = 1;
+    launch_fattn_tile_f16_64_128<cols_per_block, parallel_blocks>(ctx, dst);
+}
diff --git a/ggml-cuda/fattn-tile-f16.cuh b/ggml-cuda/fattn-tile-f16.cuh
new file mode 100644
index 000000000..ffc587842
--- /dev/null
+++ b/ggml-cuda/fattn-tile-f16.cuh
@@ -0,0 +1,3 @@
+#include "common.cuh"
+
+void ggml_cuda_flash_attn_ext_tile_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
diff --git a/ggml-cuda/fattn-tile-f32.cu b/ggml-cuda/fattn-tile-f32.cu
new file mode 100644
index 000000000..15e22f495
--- /dev/null
+++ b/ggml-cuda/fattn-tile-f32.cu
@@ -0,0 +1,312 @@
+#include "common.cuh"
+#include "fattn-common.cuh"
+#include "fattn-tile-f32.cuh"
+
+#define FATTN_KQ_STRIDE_TILE_F32 32
+
+template<int D, int ncols, int nwarps, int parallel_blocks> // D == head size
+#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
+__launch_bounds__(nwarps*WARP_SIZE, 1)
+#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
+static __global__ void flash_attn_tile_ext_f32(
+        const char * __restrict__ Q,
+        const char * __restrict__ K,
+        const char * __restrict__ V,
+        const char * __restrict__ mask,
+        float      * __restrict__ dst,
+        float2     * __restrict__ dst_meta,
+        const float scale,
+        const float max_bias,
+        const float m0,
+        const float m1,
+        const uint32_t n_head_log2,
+        const int ne00,
+        const int ne01,
+        const int ne02,
+        const int ne03,
+        const int ne10,
+        const int ne11,
+        const int ne12,
+        const int ne13,
+        const int ne31,
+        const int nb31,
+        const int nb01,
+        const int nb02,
+        const int nb03,
+        const int nb11,
+        const int nb12,
+        const int nb13,
+        const int nb21,
+        const int nb22,
+        const int nb23,
+        const int ne0,
+        const int ne1,
+        const int ne2,
+        const int ne3) {
+    //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
+
+    const int ic0 = (blockIdx.x / parallel_blocks) * ncols; // Index of the Q/QKV column to work on.
+    const int ip  =  blockIdx.x % parallel_blocks; // Index in group of blocks running for the same column in parallel.
+
+    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
+    const float2 * Q_f2  = (const float2 *) (Q    + nb02* blockIdx.y              + nb01*ic0);
+    const half2  * K_h2  = (const half2  *) (K    + nb12*(blockIdx.y / gqa_ratio));
+    const half2  * V_h2  = (const half2  *) (V    + nb12*(blockIdx.y / gqa_ratio)); // K and V have same shape
+    const half   * maskh = (const half   *)  mask + ne11*ic0;
+
+    const int stride_KV2 = nb11 / sizeof(half2);
+
+    const float slope = get_alibi_slope(max_bias, blockIdx.y, n_head_log2, m0, m1);
+
+    static_assert(D % (2*WARP_SIZE) == 0, "D not divisible by 2*WARP_SIZE == 64.");
+
+    __shared__ float KQ[ncols*FATTN_KQ_STRIDE_TILE_F32];
+
+    __shared__ float KV_tmp[FATTN_KQ_STRIDE_TILE_F32][D + 1]; // Pad D to avoid memory bank conflicts.
+    float2 * KV_tmp2 = (float2 *) KV_tmp;
+
+    float kqmax[ncols/nwarps];
+#pragma unroll
+    for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+        kqmax[j0/nwarps] = -FLT_MAX/2.0f;
+    }
+    float kqsum[ncols/nwarps] = {0.0f};
+
+    float2 VKQ[ncols/nwarps][(D/2)/WARP_SIZE] = {{{0.0f, 0.0f}}};
+
+    // Convert Q to half2 and store in registers:
+    __shared__ float Q_f[ncols][D];
+#pragma unroll
+    for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+#pragma unroll
+        for (int i0 = 0; i0 < D; i0 += 2*WARP_SIZE) {
+            float2 tmp = ic0 + j < ne01 ? Q_f2[j*(nb01/sizeof(float2)) + i0/2 + threadIdx.x] : make_float2(0.0f, 0.0f);
+            Q_f[j][i0 + 0*WARP_SIZE + threadIdx.x] = tmp.x * scale;
+            Q_f[j][i0 + 1*WARP_SIZE + threadIdx.x] = tmp.y * scale;
+        }
+    }
+
+    __syncthreads();
+
+    const int k_start = parallel_blocks == 1 ? 0 : ip*FATTN_KQ_STRIDE_TILE_F32;
+    for (int k_VKQ_0 = k_start; k_VKQ_0 < ne11; k_VKQ_0 += parallel_blocks*FATTN_KQ_STRIDE_TILE_F32) {
+        // Calculate KQ tile and keep track of new maximum KQ values:
+
+        float kqmax_new[ncols/nwarps];
+#pragma unroll
+        for (int j = 0; j < ncols/nwarps; ++j) {
+            kqmax_new[j] = kqmax[j];
+        }
+
+#pragma unroll
+        for (int i_KQ_0 = 0; i_KQ_0 < FATTN_KQ_STRIDE_TILE_F32; i_KQ_0 += nwarps) {
+            const int i_KQ = i_KQ_0 + threadIdx.y;
+
+#pragma unroll
+            for (int k_KQ_0 = 0; k_KQ_0 < D; k_KQ_0 += 2*WARP_SIZE) {
+                const half2 tmp = K_h2[(k_VKQ_0 + i_KQ)*stride_KV2 + k_KQ_0/2 + threadIdx.x];
+                KV_tmp[i_KQ][k_KQ_0 + 0*WARP_SIZE + threadIdx.x] =  __low2float(tmp);
+                KV_tmp[i_KQ][k_KQ_0 + 1*WARP_SIZE + threadIdx.x] = __high2float(tmp);
+            }
+        }
+
+        __syncthreads();
+
+        float sum[FATTN_KQ_STRIDE_TILE_F32/WARP_SIZE][ncols/nwarps] = {{0.0f}};
+
+#pragma unroll
+        for (int k_KQ = 0; k_KQ < D; ++k_KQ) {
+            float K_k[FATTN_KQ_STRIDE_TILE_F32/WARP_SIZE];
+            float Q_k[ncols/nwarps];
+
+#pragma unroll
+            for (int i_KQ_0 = 0; i_KQ_0 < FATTN_KQ_STRIDE_TILE_F32; i_KQ_0 += WARP_SIZE) {
+                const int i_KQ = i_KQ_0 + threadIdx.x;
+
+                K_k[i_KQ_0/WARP_SIZE] = KV_tmp[i_KQ][k_KQ];
+            }
+#pragma unroll
+            for (int j_KQ_0 = 0; j_KQ_0 < ncols; j_KQ_0 += nwarps) {
+                const int j_KQ = j_KQ_0 + threadIdx.y;
+
+                Q_k[j_KQ_0/nwarps] = Q_f[j_KQ][k_KQ];
+            }
+
+#pragma unroll
+            for (int i_KQ_0 = 0; i_KQ_0 < FATTN_KQ_STRIDE_TILE_F32; i_KQ_0 += WARP_SIZE) {
+#pragma unroll
+                for (int j_KQ_0 = 0; j_KQ_0 < ncols; j_KQ_0 += nwarps) {
+                    sum[i_KQ_0/WARP_SIZE][j_KQ_0/nwarps] += K_k[i_KQ_0/WARP_SIZE] * Q_k[j_KQ_0/nwarps];
+                }
+            }
+        }
+
+#pragma unroll
+        for (int i_KQ_0 = 0; i_KQ_0 < FATTN_KQ_STRIDE_TILE_F32; i_KQ_0 += WARP_SIZE) {
+            const int i_KQ = i_KQ_0 + threadIdx.x;
+
+#pragma unroll
+            for (int j_KQ_0 = 0; j_KQ_0 < ncols; j_KQ_0 += nwarps) {
+                const int j_KQ = j_KQ_0 + threadIdx.y;
+
+                sum[i_KQ_0/WARP_SIZE][j_KQ_0/nwarps] += mask ? slope*__half2float(maskh[j_KQ*ne11 + k_VKQ_0 + i_KQ]) : 0.0f;
+
+                kqmax_new[j_KQ_0/nwarps] = fmaxf(kqmax_new[j_KQ_0/nwarps], sum[i_KQ_0/WARP_SIZE][j_KQ_0/nwarps]);
+
+                KQ[j_KQ*FATTN_KQ_STRIDE_TILE_F32 + i_KQ] = sum[i_KQ_0/WARP_SIZE][j_KQ_0/nwarps];
+            }
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+            const int j = j0 + threadIdx.y;
+
+            kqmax_new[j0/nwarps] = warp_reduce_max(kqmax_new[j0/nwarps]);
+            const float KQ_max_scale = expf(kqmax[j0/nwarps] - kqmax_new[j0/nwarps]);
+            kqmax[j0/nwarps] = kqmax_new[j0/nwarps];
+
+            float kqsum_add = 0.0f;
+#pragma unroll
+            for (int i0 = 0; i0 < FATTN_KQ_STRIDE_TILE_F32; i0 += WARP_SIZE) {
+                const int i = i0 + threadIdx.x;
+
+                const float diff = KQ[j*FATTN_KQ_STRIDE_TILE_F32 + i] - kqmax[j0/nwarps];
+                const float val = expf(diff);
+                kqsum_add += val;
+                KQ[j*FATTN_KQ_STRIDE_TILE_F32 + i] = val;
+            }
+            kqsum[j0/nwarps] = kqsum[j0/nwarps]*KQ_max_scale + kqsum_add;
+
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+                VKQ[j0/nwarps][i0/WARP_SIZE].x *= KQ_max_scale;
+                VKQ[j0/nwarps][i0/WARP_SIZE].y *= KQ_max_scale;
+            }
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int k0 = 0; k0 < FATTN_KQ_STRIDE_TILE_F32; k0 += nwarps) {
+            const int k = k0 + threadIdx.y;
+
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+                const int i = i0 + threadIdx.x;
+
+                KV_tmp2[k*(D/2) + i].x =  __low2float(V_h2[(k_VKQ_0 + k)*stride_KV2 + i]);
+                KV_tmp2[k*(D/2) + i].y = __high2float(V_h2[(k_VKQ_0 + k)*stride_KV2 + i]);
+            }
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int k = 0; k < FATTN_KQ_STRIDE_TILE_F32; ++k) {
+            float2 V_k[(D/2)/WARP_SIZE];
+            float  KQ_k[ncols/nwarps];
+
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+                const int i = i0 + threadIdx.x;
+
+                V_k[i0/WARP_SIZE] = KV_tmp2[k*(D/2) + i];
+            }
+#pragma unroll
+            for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+                const int j = j0 + threadIdx.y;
+
+                KQ_k[j0/nwarps] = KQ[j*FATTN_KQ_STRIDE_TILE_F32 + k];
+            }
+
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+#pragma unroll
+                for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+                    VKQ[j0/nwarps][i0/WARP_SIZE].x += V_k[i0/WARP_SIZE].x*KQ_k[j0/nwarps];
+                    VKQ[j0/nwarps][i0/WARP_SIZE].y += V_k[i0/WARP_SIZE].y*KQ_k[j0/nwarps];
+                }
+            }
+        }
+
+        __syncthreads();
+    }
+
+#pragma unroll
+    for (int j_VKQ_0 = 0; j_VKQ_0 < ncols; j_VKQ_0 += nwarps) {
+        const int j_VKQ = j_VKQ_0 + threadIdx.y;
+
+        if (ic0 + j_VKQ >= ne01) {
+            return;
+        }
+
+        float kqsum_j = kqsum[j_VKQ_0/nwarps];
+        kqsum_j = warp_reduce_sum(kqsum_j);
+
+#pragma unroll
+        for (int i00 = 0; i00 < D; i00 += 2*WARP_SIZE) {
+            const int i0 = i00 + 2*threadIdx.x;
+
+            float2 dst_val = VKQ[j_VKQ_0/nwarps][i0/(2*WARP_SIZE)];
+            if (parallel_blocks == 1) {
+                dst_val.x /= kqsum_j;
+                dst_val.y /= kqsum_j;
+            }
+            const int j_dst = (ic0 + j_VKQ)*parallel_blocks + ip;
+            dst[j_dst*D*gridDim.y + D*blockIdx.y + i0 + 0] = dst_val.x;
+            dst[j_dst*D*gridDim.y + D*blockIdx.y + i0 + 1] = dst_val.y;
+        }
+
+        if (parallel_blocks != 1 && threadIdx.x == 0) {
+            dst_meta[(ic0 + j_VKQ)*gridDim.y*parallel_blocks + blockIdx.y*parallel_blocks + ip] = make_float2(kqmax[j_VKQ_0/nwarps], kqsum_j);
+        }
+    }
+}
+
+template <int cols_per_block, int parallel_blocks>
+void launch_fattn_tile_f32_64_128(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * Q = dst->src[0];
+    switch (Q->ne[0]) {
+        case  64: {
+            constexpr int      D = 64;
+            constexpr int nwarps = 8;
+            fattn_kernel_t fattn_kernel = flash_attn_tile_ext_f32<D, cols_per_block, nwarps, parallel_blocks>;
+            launch_fattn<D, parallel_blocks>(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true);
+        } break;
+        case 128: {
+            constexpr int      D = 128;
+            constexpr int nwarps = 8;
+            fattn_kernel_t fattn_kernel = flash_attn_tile_ext_f32<D, cols_per_block, nwarps, parallel_blocks>;
+            launch_fattn<D, parallel_blocks>(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true);
+        } break;
+        default: {
+            GGML_ASSERT(false && "FlashAttention without tensor cores only supports head sizes 64 and 128.");
+        } break;
+    }
+}
+
+void ggml_cuda_flash_attn_ext_tile_f32(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * Q = dst->src[0];
+
+    if (Q->ne[1] <= 16) {
+        constexpr int cols_per_block = 16;
+        constexpr int parallel_blocks = 4;
+        launch_fattn_tile_f32_64_128<cols_per_block, parallel_blocks>(ctx, dst);
+        return;
+    }
+
+    if (Q->ne[1] <= 32) {
+        constexpr int cols_per_block = 32;
+        constexpr int parallel_blocks = 4;
+        launch_fattn_tile_f32_64_128<cols_per_block, parallel_blocks>(ctx, dst);
+        return;
+    }
+
+    constexpr int cols_per_block = 32;
+    constexpr int parallel_blocks = 1;
+    launch_fattn_tile_f32_64_128<cols_per_block, parallel_blocks>(ctx, dst);
+}
diff --git a/ggml-cuda/fattn-tile-f32.cuh b/ggml-cuda/fattn-tile-f32.cuh
new file mode 100644
index 000000000..b1c546c80
--- /dev/null
+++ b/ggml-cuda/fattn-tile-f32.cuh
@@ -0,0 +1,3 @@
+#include "common.cuh"
+
+void ggml_cuda_flash_attn_ext_tile_f32(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
diff --git a/ggml-cuda/fattn-vec-f16.cu b/ggml-cuda/fattn-vec-f16.cu
deleted file mode 100644
index cbf5f7835..000000000
--- a/ggml-cuda/fattn-vec-f16.cu
+++ /dev/null
@@ -1,430 +0,0 @@
-#include "common.cuh"
-#include "fattn-common.cuh"
-#include "fattn-vec-f16.cuh"
-
-template<int D, int ncols, int parallel_blocks> // D == head size
-#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
-__launch_bounds__(D, 1)
-#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
-static __global__ void flash_attn_vec_ext_f16(
-        const char * __restrict__ Q,
-        const char * __restrict__ K,
-        const char * __restrict__ V,
-        const char * __restrict__ mask,
-        float      * __restrict__ dst,
-        float2     * __restrict__ dst_meta,
-        const float scale,
-        const float max_bias,
-        const float m0,
-        const float m1,
-        const uint32_t n_head_log2,
-        const int ne00,
-        const int ne01,
-        const int ne02,
-        const int ne03,
-        const int ne10,
-        const int ne11,
-        const int ne12,
-        const int ne13,
-        const int ne31,
-        const int nb31,
-        const int nb01,
-        const int nb02,
-        const int nb03,
-        const int nb11,
-        const int nb12,
-        const int nb13,
-        const int ne0,
-        const int ne1,
-        const int ne2,
-        const int ne3) {
-#if FP16_AVAILABLE
-    //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
-
-    const int ic0 = (blockIdx.x / parallel_blocks) * ncols; // Index of the Q/QKV column to work on.
-    const int ip  =  blockIdx.x % parallel_blocks; // Index in group of blocks running for the same column in parallel.
-
-    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
-    const float2 * Q_f2  = (const float2 *) (Q    + nb02* blockIdx.y              + nb01*ic0);
-    const half2  * K_h2  = (const half2  *) (K    + nb12*(blockIdx.y / gqa_ratio));
-    const half   * V_h   = (const half   *) (V    + nb12*(blockIdx.y / gqa_ratio)); // K and V have same shape
-    const half   * maskh = (const half   *)  mask + ne11*ic0;
-
-    const int stride_KV  = nb11 / sizeof(half);
-    const int stride_KV2 = nb11 / sizeof(half2);
-
-    half  slopeh = __float2half(1.0f);
-
-    // ALiBi
-    if (max_bias > 0.0f) {
-        const int h = blockIdx.y;
-
-        const float base = h < n_head_log2 ? m0 : m1;
-        const int   exph = h < n_head_log2 ? h + 1 : 2*(h - n_head_log2) + 1;
-
-        slopeh = __float2half(powf(base, exph));
-    }
-
-    static_assert(D % (2*WARP_SIZE) == 0, "D not divisible by 2*WARP_SIZE == 64.");
-    constexpr int nwarps = D / WARP_SIZE;
-    const int tid = WARP_SIZE*threadIdx.y + threadIdx.x;
-    __builtin_assume(tid < D);
-
-    __shared__ half KQ[ncols*D];
-#pragma unroll
-    for (int j = 0; j < ncols; ++j) {
-        KQ[j*D + tid] = -HALF_MAX_HALF;
-    }
-    half2 * KQ2 = (half2 *) KQ;
-
-    half kqmax[ncols];
-#pragma unroll
-    for (int j = 0; j < ncols; ++j) {
-        kqmax[j] = -HALF_MAX_HALF;
-    }
-    half kqsum[ncols] = {0.0f};
-
-    __shared__ half kqmax_shared[ncols][WARP_SIZE];
-    __shared__ half kqsum_shared[ncols][WARP_SIZE];
-#pragma unroll
-    for (int j = 0; j < ncols; ++j) {
-        if (threadIdx.y == 0) {
-            kqmax_shared[j][threadIdx.x] = -HALF_MAX_HALF;
-            kqsum_shared[j][threadIdx.x] = 0.0f;
-        }
-    }
-    __syncthreads();
-
-    // Convert Q to half2 and store in registers:
-    half2 Q_h2[ncols][D/(2*WARP_SIZE)];
-#pragma unroll
-    for (int j = 0; j < ncols; ++j) {
-#pragma unroll
-        for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
-            const int i = i0 + threadIdx.x;
-
-            const float2 tmp = Q_f2[j*(nb01/sizeof(float2)) + i];
-            Q_h2[j][i0/WARP_SIZE] = make_half2(scale, scale) * make_half2(tmp.x, tmp.y);
-        }
-    }
-
-    half2 VKQ[ncols] = {{0.0f, 0.0f}};
-
-    const int k_start = parallel_blocks == 1 ? 0 : ip*D;
-    for (int k_VKQ_0 = k_start; k_VKQ_0 < ne11; k_VKQ_0 += parallel_blocks*D) {
-        // Calculate KQ tile and keep track of new maximum KQ values:
-
-        // For unknown reasons using a half array of size 1 for kqmax_new causes a performance regression,
-        // see https://github.com/ggerganov/llama.cpp/pull/7061 .
-        // Therefore this variable is defined twice but only used once (so that the compiler can optimize out the unused variable).
-        half kqmax_new = kqmax[0];
-        half kqmax_new_arr[ncols];
-#pragma unroll
-        for (int j = 0; j < ncols; ++j) {
-            kqmax_new_arr[j] = kqmax[j];
-        }
-
-#pragma unroll
-        for (int i_KQ_0 = 0; i_KQ_0 < D; i_KQ_0 += nwarps) {
-            const int i_KQ = i_KQ_0 + threadIdx.y;
-
-            if ((i_KQ_0 + nwarps > D && i_KQ >= D) || (FATTN_KQ_STRIDE % D != 0 && k_VKQ_0 + i_KQ >= ne11)) {
-                break;
-            }
-
-            half2 sum2[ncols] = {{0.0f, 0.0f}};
-#pragma unroll
-            for (int k_KQ_0 = 0; k_KQ_0 < D/2; k_KQ_0 += WARP_SIZE) {
-                const int k_KQ = k_KQ_0 + threadIdx.x;
-
-                const half2 K_ik = K_h2[(k_VKQ_0 + i_KQ)*stride_KV2 + k_KQ];
-#pragma unroll
-                for (int j = 0; j < ncols; ++j) {
-                    sum2[j] += K_ik * Q_h2[j][k_KQ_0/WARP_SIZE];
-                }
-            }
-
-#pragma unroll
-            for (int j = 0; j < ncols; ++j) {
-                sum2[j] = warp_reduce_sum(sum2[j]);
-                half sum = __low2half(sum2[j]) + __high2half(sum2[j]);
-                sum += mask ? slopeh*maskh[j*ne11 + k_VKQ_0 + i_KQ] : __float2half(0.0f);
-
-                if (ncols == 1) {
-                    kqmax_new        = ggml_cuda_hmax(kqmax_new,        sum);
-                } else {
-                    kqmax_new_arr[j] = ggml_cuda_hmax(kqmax_new_arr[j], sum);
-                }
-
-                if (threadIdx.x == 0) {
-                    KQ[j*D + i_KQ] = sum;
-                }
-            }
-        }
-
-#pragma unroll
-        for (int j = 0; j < ncols; ++j) {
-            half kqmax_new_j = ncols == 1 ? kqmax_new : kqmax_new_arr[j];
-
-            kqmax_new_j = warp_reduce_max(kqmax_new_j);
-            if (threadIdx.x == 0) {
-                kqmax_shared[j][threadIdx.y] = kqmax_new_j;
-            }
-        }
-
-        __syncthreads();
-
-#pragma unroll
-        for (int j = 0; j < ncols; ++j) {
-            half kqmax_new_j = kqmax_shared[j][threadIdx.x];
-            kqmax_new_j = warp_reduce_max(kqmax_new_j);
-
-            const half KQ_max_scale = hexp(kqmax[j] - kqmax_new_j);
-            kqmax[j] = kqmax_new_j;
-
-            const half val = hexp(KQ[j*D + tid] - kqmax[j]);
-            kqsum[j] = kqsum[j]*KQ_max_scale + val;
-            KQ[j*D + tid] = val;
-
-            VKQ[j] *= __half2half2(KQ_max_scale);
-        }
-
-        __syncthreads();
-
-#pragma unroll
-        for (int k0 = 0; k0 < D; k0 += 2) {
-            if (FATTN_KQ_STRIDE % D != 0 && k_VKQ_0 + k0 >= ne11) {
-                break;
-            }
-
-            half2 V_k;
-            reinterpret_cast<half&>(V_k.x) = V_h[(k_VKQ_0 + k0 + 0)*stride_KV + tid];
-            reinterpret_cast<half&>(V_k.y) = V_h[(k_VKQ_0 + k0 + 1)*stride_KV + tid];
-#pragma unroll
-            for (int j = 0; j < ncols; ++j) {
-                VKQ[j] += V_k*KQ2[j*(D/2) + k0/2];
-            }
-        }
-
-        __syncthreads();
-    }
-
-#pragma unroll
-    for (int j = 0; j < ncols; ++j) {
-        kqsum[j] = warp_reduce_sum(kqsum[j]);
-        if (threadIdx.x == 0) {
-            kqsum_shared[j][threadIdx.y] = kqsum[j];
-        }
-    }
-
-    __syncthreads();
-
-#pragma unroll
-    for (int j_VKQ = 0; j_VKQ < ncols; ++j_VKQ) {
-        kqsum[j_VKQ] = kqsum_shared[j_VKQ][threadIdx.x];
-        kqsum[j_VKQ] = warp_reduce_sum(kqsum[j_VKQ]);
-
-        half dst_val = (__low2half(VKQ[j_VKQ]) + __high2half(VKQ[j_VKQ]));
-        if (parallel_blocks == 1) {
-            dst_val /= kqsum[j_VKQ];
-        }
-        const int j_dst = (ic0 + j_VKQ)*parallel_blocks + ip;
-        dst[j_dst*D*gridDim.y + D*blockIdx.y + tid] = dst_val;
-    }
-
-    if (parallel_blocks != 1 && tid != 0) {
-#pragma unroll
-        for (int j = 0; j < ncols; ++j) {
-            dst_meta[(ic0 + j)*gridDim.y*parallel_blocks + blockIdx.y*parallel_blocks + ip] = make_float2(kqmax[j], kqsum[j]);
-        }
-    }
-#else
-   NO_DEVICE_CODE;
-#endif // FP16_AVAILABLE
-}
-
-template <int D, int cols_per_block, int parallel_blocks> void launch_fattn_vec_f16(
-        const ggml_tensor * Q, const ggml_tensor * K, const ggml_tensor * V, ggml_tensor * KQV, const ggml_tensor * mask,
-        ggml_cuda_pool & pool, cudaStream_t main_stream
-) {
-    ggml_cuda_pool_alloc<float>  dst_tmp(pool);
-    ggml_cuda_pool_alloc<float2> dst_tmp_meta(pool);
-
-    if (parallel_blocks > 1) {
-        dst_tmp.alloc(parallel_blocks*ggml_nelements(KQV));
-        dst_tmp_meta.alloc(parallel_blocks*ggml_nrows(KQV));
-    }
-
-    constexpr int  nwarps = (D + WARP_SIZE - 1) / WARP_SIZE;
-    const     dim3 block_dim(WARP_SIZE, nwarps, 1);
-    const     dim3 blocks_num(parallel_blocks*((Q->ne[1] + cols_per_block - 1) / cols_per_block), Q->ne[2], Q->ne[3]);
-    const     int  shmem = 0;
-
-    float scale    = 1.0f;
-    float max_bias = 0.0f;
-
-    memcpy(&scale,    (float *) KQV->op_params + 0, sizeof(float));
-    memcpy(&max_bias, (float *) KQV->op_params + 1, sizeof(float));
-
-    const uint32_t n_head      = Q->ne[2];
-    const uint32_t n_head_log2 = 1u << (uint32_t) floorf(log2f((float) n_head));
-
-    const float m0 = powf(2.0f, -(max_bias       ) / n_head_log2);
-    const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
-
-    flash_attn_vec_ext_f16<D, cols_per_block, parallel_blocks>
-        <<<blocks_num, block_dim, shmem, main_stream>>> (
-                (const char *) Q->data,
-                (const char *) K->data,
-                (const char *) V->data,
-                mask ? ((const char *) mask->data) : nullptr,
-                parallel_blocks == 1 ? (float *) KQV->data : dst_tmp.ptr, dst_tmp_meta.ptr,
-                scale, max_bias, m0, m1, n_head_log2,
-                Q->ne[0], Q->ne[1], Q->ne[2], Q->ne[3],
-                K->ne[0], K->ne[1], K->ne[2], K->ne[3],
-                mask ? mask->ne[1] : 0, mask ?  mask->nb[1] : 0,
-                Q->nb[1], Q->nb[2], Q->nb[3],
-                K->nb[1], K->nb[2], K->nb[3],
-                KQV->ne[0], KQV->ne[1], KQV->ne[2], KQV->ne[3]
-                );
-    CUDA_CHECK(cudaGetLastError());
-
-    if (parallel_blocks == 1) {
-        return;
-    }
-
-    const dim3 block_dim_combine(D, 1, 1);
-    const dim3 blocks_num_combine(Q->ne[1], blocks_num.y, blocks_num.z);
-    const int  shmem_combine = 0;
-
-    flash_attn_combine_results<D, parallel_blocks>
-        <<<blocks_num_combine, block_dim_combine, shmem_combine, main_stream>>>
-        (dst_tmp.ptr, dst_tmp_meta.ptr, (float *) KQV->data);
-    CUDA_CHECK(cudaGetLastError());
-}
-
-void ggml_cuda_flash_attn_ext_vec_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
-    const ggml_tensor * Q = dst->src[0];
-    const ggml_tensor * K = dst->src[1];
-    const ggml_tensor * V = dst->src[2];
-
-    const ggml_tensor * mask = dst->src[3];
-
-    ggml_tensor * KQV = dst;
-
-    const int32_t precision = KQV->op_params[2];
-    GGML_ASSERT(precision == GGML_PREC_DEFAULT);
-
-    constexpr int cols_per_block = 1;
-    constexpr int parallel_blocks = 4;
-    switch (Q->ne[0]) {
-        case 64:
-            launch_fattn_vec_f16< 64, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-            break;
-        case 128:
-            launch_fattn_vec_f16<128, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-            break;
-        case 256:
-            launch_fattn_vec_f16<256, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-            break;
-        default:
-            GGML_ASSERT(false);
-            break;
-    }
-}
-
-void ggml_cuda_flash_attn_ext_vec_f16_no_mma(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
-    const ggml_tensor * Q = dst->src[0];
-    const ggml_tensor * K = dst->src[1];
-    const ggml_tensor * V = dst->src[2];
-
-    const ggml_tensor * mask = dst->src[3];
-
-    ggml_tensor * KQV = dst;
-
-    const int32_t precision = KQV->op_params[2];
-    GGML_ASSERT(precision == GGML_PREC_DEFAULT);
-    GGML_ASSERT(Q->ne[0] == 64 || Q->ne[0] == 128 && "FlashAttention without tensor cores only supports head sizes 64 and 128.");
-
-    if (Q->ne[1] == 1) {
-        constexpr int cols_per_block = 1;
-        constexpr int parallel_blocks = 4;
-        switch (Q->ne[0]) {
-            case 64:
-                launch_fattn_vec_f16< 64, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            case 128:
-                launch_fattn_vec_f16<128, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            default:
-                GGML_ASSERT(false);
-                break;
-        }
-        return;
-    }
-
-    if (Q->ne[1] == 2) {
-        constexpr int cols_per_block = 2;
-        constexpr int parallel_blocks = 4;
-        switch (Q->ne[0]) {
-            case 64:
-                launch_fattn_vec_f16< 64, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            case 128:
-                launch_fattn_vec_f16<128, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            default:
-                GGML_ASSERT(false);
-                break;
-        }
-        return;
-    }
-
-    if (Q->ne[1] <= 4) {
-        constexpr int cols_per_block = 4;
-        constexpr int parallel_blocks = 4;
-        switch (Q->ne[0]) {
-            case 64:
-                launch_fattn_vec_f16< 64, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            case 128:
-                launch_fattn_vec_f16<128, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            default:
-                GGML_ASSERT(false);
-                break;
-        }
-        return;
-    }
-
-    if (Q->ne[1] <= 8) {
-        constexpr int cols_per_block = 8;
-        constexpr int parallel_blocks = 4;
-        switch (Q->ne[0]) {
-            case 64:
-                launch_fattn_vec_f16< 64, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            case 128:
-                launch_fattn_vec_f16<128, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            default:
-                GGML_ASSERT(false);
-                break;
-        }
-        return;
-    }
-
-    constexpr int cols_per_block = 8;
-    constexpr int parallel_blocks = 1;
-    switch (Q->ne[0]) {
-        case 64:
-            launch_fattn_vec_f16< 64, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-            break;
-        case 128:
-            launch_fattn_vec_f16<128, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-            break;
-        default:
-            GGML_ASSERT(false);
-            break;
-    }
-}
diff --git a/ggml-cuda/fattn-vec-f16.cuh b/ggml-cuda/fattn-vec-f16.cuh
index c7023610a..9e1aa2c6b 100644
--- a/ggml-cuda/fattn-vec-f16.cuh
+++ b/ggml-cuda/fattn-vec-f16.cuh
@@ -1,5 +1,397 @@
 #include "common.cuh"
+#include "fattn-common.cuh"
 
-void ggml_cuda_flash_attn_ext_vec_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
+template<int D, int ncols, int parallel_blocks, ggml_type type_K, ggml_type type_V> // D == head size
+#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
+__launch_bounds__(D, 1)
+#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
+static __global__ void flash_attn_vec_ext_f16(
+        const char * __restrict__ Q,
+        const char * __restrict__ K,
+        const char * __restrict__ V,
+        const char * __restrict__ mask,
+        float      * __restrict__ dst,
+        float2     * __restrict__ dst_meta,
+        const float scale,
+        const float max_bias,
+        const float m0,
+        const float m1,
+        const uint32_t n_head_log2,
+        const int ne00,
+        const int ne01,
+        const int ne02,
+        const int ne03,
+        const int ne10,
+        const int ne11,
+        const int ne12,
+        const int ne13,
+        const int ne31,
+        const int nb31,
+        const int nb01,
+        const int nb02,
+        const int nb03,
+        const int nb11,
+        const int nb12,
+        const int nb13,
+        const int nb21,
+        const int nb22,
+        const int nb23,
+        const int ne0,
+        const int ne1,
+        const int ne2,
+        const int ne3) {
+#if FP16_AVAILABLE
+    //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
 
-void ggml_cuda_flash_attn_ext_vec_f16_no_mma(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
+    constexpr vec_dot_KQ_f16_t vec_dot_KQ = get_vec_dot_KQ_f16<D>(type_K);
+    constexpr bool Q_q8_1 = type_K != GGML_TYPE_F16;
+    constexpr dequantize_1_f16_t dequantize_1_v = get_dequantize_1_f16(type_V);
+
+    const int ic0 = (blockIdx.x / parallel_blocks) * ncols; // Index of the Q/QKV column to work on.
+    const int ip  =  blockIdx.x % parallel_blocks; // Index in group of blocks running for the same column in parallel.
+
+    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
+    Q += nb02* blockIdx.y              + nb01*ic0;
+    K += nb12*(blockIdx.y / gqa_ratio);
+    V += nb22*(blockIdx.y / gqa_ratio);
+
+    const half * maskh = (const half   *)  mask + ne11*ic0;
+
+    const float slopef = get_alibi_slope(max_bias, blockIdx.y, n_head_log2, m0, m1);
+    const half  slopeh = __float2half(slopef);
+
+    static_assert(D % (2*WARP_SIZE) == 0, "D not divisible by 2*WARP_SIZE == 64.");
+    constexpr int nwarps = D / WARP_SIZE;
+    const int tid = WARP_SIZE*threadIdx.y + threadIdx.x;
+    __builtin_assume(tid < D);
+
+    __shared__ half KQ[ncols*D];
+    half2 * KQ2 = (half2 *) KQ;
+
+    half kqmax[ncols];
+#pragma unroll
+    for (int j = 0; j < ncols; ++j) {
+        kqmax[j] = -HALF_MAX_HALF;
+    }
+    half kqsum[ncols] = {0.0f};
+
+    __shared__ half kqmax_shared[ncols][WARP_SIZE];
+    __shared__ half kqsum_shared[ncols][WARP_SIZE];
+#pragma unroll
+    for (int j = 0; j < ncols; ++j) {
+        if (threadIdx.y == 0) {
+            kqmax_shared[j][threadIdx.x] = -HALF_MAX_HALF;
+            kqsum_shared[j][threadIdx.x] = 0.0f;
+        }
+    }
+    __syncthreads();
+
+    // Convert Q to half2 (f16 K) or q8_1 (quantized K) and store in registers:
+    half2  Q_h2[ncols][D/(2*WARP_SIZE)];
+    int   Q_i32[ncols][D/(sizeof(int)*QK8_1) == 0 ? 1 : D/(sizeof(int)*QK8_1)];
+    half2  Q_ds[ncols][D/QK8_1 == 0 ? 1 : D/QK8_1];
+    if (Q_q8_1) {
+#pragma unroll
+        for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+            const int j = j0 + threadIdx.y;
+
+            if (j0 + nwarps > ncols && j >= ncols) {
+                break;
+            }
+
+            // Reuse KQ as temporary storage for converting Q to q8_1:
+            int   * tmp_q_i32 = (int   *) &KQ[j*D];
+            half2 * tmp_q_ds  = (half2 *) (tmp_q_i32 + D/sizeof(int));
+
+            // Set memory to zero if out of bounds:
+            if (ncols > 2 && ic0 + j >= ne01) {
+#pragma unroll
+                for (int i0 = 0; i0 < D/sizeof(int); i0 += WARP_SIZE) {
+                    const int i = i0 + threadIdx.x;
+
+                    tmp_q_i32[i] = 0;
+                }
+                if (threadIdx.x < D/QK8_1) {
+                    tmp_q_ds[threadIdx.x] = make_half2(0.0f, 0.0f);
+                }
+                continue;
+            }
+
+            const float * Q_f = (const float *) (Q + j*nb01);
+#pragma unroll
+            for (int i0 = 0; i0 < D/sizeof(int); i0 += WARP_SIZE) {
+                quantize_q8_1_to_shared<half2>(Q_f + 4*i0, scale, tmp_q_i32, tmp_q_ds);
+            }
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            int   * tmp_q_i32 = (int   *) &KQ[j*D];
+            half2 * tmp_q_ds  = (half2 *) (tmp_q_i32 + D/sizeof(int));
+
+#pragma unroll
+            for (int i0 = 0; i0 < D/sizeof(int); i0 += WARP_SIZE) {
+                const int i = i0 + threadIdx.x;
+
+                Q_i32[j][i0/WARP_SIZE] = tmp_q_i32[i];
+                Q_ds[j][i0/WARP_SIZE]  = tmp_q_ds[i/QI8_1];
+            }
+        }
+
+        __syncthreads();
+    } else {
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            const float2 * Q_f2_j = (const float2 *) (Q + j*nb01);
+
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+                const int i = i0 + threadIdx.x;
+
+                const float2 tmp = ncols <= 2 || ic0 + j < ne01 ? Q_f2_j[i] : make_float2(0.0f, 0.0f);
+                Q_h2[j][i0/WARP_SIZE] = make_half2(scale, scale) * make_half2(tmp.x, tmp.y);
+            }
+        }
+    }
+
+
+#pragma unroll
+    for (int j = 0; j < ncols; ++j) {
+        KQ[j*D + tid] = -HALF_MAX_HALF;
+    }
+
+    half2 VKQ[ncols] = {{0.0f, 0.0f}};
+
+    const int k_start = parallel_blocks == 1 ? 0 : ip*D;
+    for (int k_VKQ_0 = k_start; k_VKQ_0 < ne11; k_VKQ_0 += parallel_blocks*D) {
+        // Calculate KQ tile and keep track of new maximum KQ values:
+
+        // For unknown reasons using a half array of size 1 for kqmax_new causes a performance regression,
+        // see https://github.com/ggerganov/llama.cpp/pull/7061 .
+        // Therefore this variable is defined twice but only used once (so that the compiler can optimize out the unused variable).
+        half kqmax_new = kqmax[0];
+        half kqmax_new_arr[ncols];
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            kqmax_new_arr[j] = kqmax[j];
+        }
+
+#pragma unroll
+        for (int i_KQ_0 = 0; i_KQ_0 < D; i_KQ_0 += nwarps) {
+            const int i_KQ = i_KQ_0 + threadIdx.y;
+
+            if ((i_KQ_0 + nwarps > D && i_KQ >= D) || (FATTN_KQ_STRIDE % D != 0 && k_VKQ_0 + i_KQ >= ne11)) {
+                break;
+            }
+
+#pragma unroll
+            for (int j = 0; j < ncols; ++j) {
+                half sum = vec_dot_KQ(K + (k_VKQ_0 + i_KQ)*nb11, Q_h2[j], Q_i32[j], Q_ds[j]);
+                sum = warp_reduce_sum(sum);
+                sum += mask ? slopeh*maskh[j*ne11 + k_VKQ_0 + i_KQ] : __float2half(0.0f);
+
+                if (ncols == 1) {
+                    kqmax_new        = ggml_cuda_hmax(kqmax_new,        sum);
+                } else {
+                    kqmax_new_arr[j] = ggml_cuda_hmax(kqmax_new_arr[j], sum);
+                }
+
+                if (threadIdx.x == 0) {
+                    KQ[j*D + i_KQ] = sum;
+                }
+            }
+        }
+
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            half kqmax_new_j = ncols == 1 ? kqmax_new : kqmax_new_arr[j];
+
+            kqmax_new_j = warp_reduce_max(kqmax_new_j);
+            if (threadIdx.x == 0) {
+                kqmax_shared[j][threadIdx.y] = kqmax_new_j;
+            }
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            half kqmax_new_j = kqmax_shared[j][threadIdx.x];
+            kqmax_new_j = warp_reduce_max(kqmax_new_j);
+
+            const half KQ_max_scale = hexp(kqmax[j] - kqmax_new_j);
+            kqmax[j] = kqmax_new_j;
+
+            const half val = hexp(KQ[j*D + tid] - kqmax[j]);
+            kqsum[j] = kqsum[j]*KQ_max_scale + val;
+            KQ[j*D + tid] = val;
+
+            VKQ[j] *= __half2half2(KQ_max_scale);
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int k0 = 0; k0 < D; k0 += 2) {
+            if (FATTN_KQ_STRIDE % D != 0 && k_VKQ_0 + k0 >= ne11) {
+                break;
+            }
+
+            half2 V_k;
+            reinterpret_cast<half&>(V_k.x) = dequantize_1_v(V + (k_VKQ_0 + k0 + 0)*nb21, tid);
+            reinterpret_cast<half&>(V_k.y) = dequantize_1_v(V + (k_VKQ_0 + k0 + 1)*nb21, tid);
+#pragma unroll
+            for (int j = 0; j < ncols; ++j) {
+                VKQ[j] += V_k*KQ2[j*(D/2) + k0/2];
+            }
+        }
+
+        __syncthreads();
+    }
+
+#pragma unroll
+    for (int j = 0; j < ncols; ++j) {
+        kqsum[j] = warp_reduce_sum(kqsum[j]);
+        if (threadIdx.x == 0) {
+            kqsum_shared[j][threadIdx.y] = kqsum[j];
+        }
+    }
+
+    __syncthreads();
+
+#pragma unroll
+    for (int j_VKQ = 0; j_VKQ < ncols; ++j_VKQ) {
+        if (ncols > 2 && ic0 + j_VKQ >= ne01) {
+            break;
+        }
+
+        kqsum[j_VKQ] = kqsum_shared[j_VKQ][threadIdx.x];
+        kqsum[j_VKQ] = warp_reduce_sum(kqsum[j_VKQ]);
+
+        half dst_val = (__low2half(VKQ[j_VKQ]) + __high2half(VKQ[j_VKQ]));
+        if (parallel_blocks == 1) {
+            dst_val /= kqsum[j_VKQ];
+        }
+        const int j_dst = (ic0 + j_VKQ)*parallel_blocks + ip;
+        dst[j_dst*D*gridDim.y + D*blockIdx.y + tid] = dst_val;
+    }
+
+    if (parallel_blocks != 1 && tid < ncols && (ncols <= 2 || ic0 + tid < ne01)) {
+        dst_meta[(ic0 + tid)*gridDim.y*parallel_blocks + blockIdx.y*parallel_blocks + ip] = make_float2(kqmax[tid], kqsum[tid]);
+    }
+#else
+   NO_DEVICE_CODE;
+#endif // FP16_AVAILABLE
+}
+
+template <int D, int cols_per_block, int parallel_blocks, ggml_type type_K, ggml_type type_V>
+void ggml_cuda_flash_attn_ext_vec_f16_case_impl(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    constexpr int nwarps = D/WARP_SIZE;
+    fattn_kernel_t fattn_kernel = flash_attn_vec_ext_f16<D, cols_per_block, parallel_blocks, type_K, type_V>;
+    constexpr bool need_f16_K = D != 128;
+    constexpr bool need_f16_V = D != 128 && D != 64;
+    launch_fattn<D, parallel_blocks>(ctx, dst, fattn_kernel, nwarps, cols_per_block, need_f16_K, need_f16_V);
+}
+
+template <int D, ggml_type type_K, ggml_type type_V>
+void ggml_cuda_flash_attn_ext_vec_f16_case(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * KQV = dst;
+    ggml_tensor * Q   = dst->src[0];
+    ggml_tensor * K   = dst->src[1];
+    ggml_tensor * V   = dst->src[2];
+
+    const int32_t precision = KQV->op_params[2];
+    GGML_ASSERT(precision == GGML_PREC_DEFAULT);
+
+    GGML_ASSERT(K->type == type_K);
+    GGML_ASSERT(V->type == type_V);
+
+    if (Q->ne[1] == 1) {
+        constexpr int cols_per_block  = 1;
+        constexpr int parallel_blocks = 4;
+        ggml_cuda_flash_attn_ext_vec_f16_case_impl<D, cols_per_block, parallel_blocks, type_K, type_V>(ctx, dst);
+        return;
+    }
+
+    if (Q->ne[1] == 2) {
+        constexpr int cols_per_block  = 2;
+        constexpr int parallel_blocks = 4;
+        ggml_cuda_flash_attn_ext_vec_f16_case_impl<D, cols_per_block, parallel_blocks, type_K, type_V>(ctx, dst);
+        return;
+    }
+
+    if (Q->ne[1] <= 4) {
+        constexpr int cols_per_block  = 4;
+        constexpr int parallel_blocks = 4;
+        ggml_cuda_flash_attn_ext_vec_f16_case_impl<D, cols_per_block, parallel_blocks, type_K, type_V>(ctx, dst);
+        return;
+    }
+
+    if (Q->ne[1] <= 8) {
+        constexpr int cols_per_block  = 8;
+        constexpr int parallel_blocks = 4;
+        ggml_cuda_flash_attn_ext_vec_f16_case_impl<D, cols_per_block, parallel_blocks, type_K, type_V>(ctx, dst);
+        return;
+    }
+
+    constexpr int cols_per_block  = 8;
+    constexpr int parallel_blocks = 1;
+    ggml_cuda_flash_attn_ext_vec_f16_case_impl<D, cols_per_block, parallel_blocks, type_K, type_V>(ctx, dst);
+}
+
+#define DECL_FATTN_VEC_F16_CASE(D, type_K, type_V)                          \
+    template void ggml_cuda_flash_attn_ext_vec_f16_case                     \
+    <D, type_K, type_V>(ggml_backend_cuda_context & ctx, ggml_tensor * dst) \
+
+extern DECL_FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_0);
+extern DECL_FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_1);
+extern DECL_FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_0);
+extern DECL_FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_1);
+extern DECL_FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q8_0);
+extern DECL_FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_F16);
+
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q4_0);
+
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q4_1);
+
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q5_0);
+
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q5_1);
+
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q8_0);
+
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_F16);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_F16);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_F16);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_F16);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_F16);
+extern DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_F16,  GGML_TYPE_F16);
+
+extern DECL_FATTN_VEC_F16_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16);
diff --git a/ggml-cuda/fattn-vec-f32.cu b/ggml-cuda/fattn-vec-f32.cu
deleted file mode 100644
index 40c336ce3..000000000
--- a/ggml-cuda/fattn-vec-f32.cu
+++ /dev/null
@@ -1,384 +0,0 @@
-#include "common.cuh"
-#include "fattn-common.cuh"
-#include "fattn-vec-f32.cuh"
-
-template<int D, int ncols, int parallel_blocks> // D == head size
-#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
-__launch_bounds__(D, 1)
-#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
-static __global__ void flash_attn_vec_ext_f32(
-        const char * __restrict__ Q,
-        const char * __restrict__ K,
-        const char * __restrict__ V,
-        const char * __restrict__ mask,
-        float      * __restrict__ dst,
-        float2     * __restrict__ dst_meta,
-        const float scale,
-        const float max_bias,
-        const float m0,
-        const float m1,
-        const uint32_t n_head_log2,
-        const int ne00,
-        const int ne01,
-        const int ne02,
-        const int ne03,
-        const int ne10,
-        const int ne11,
-        const int ne12,
-        const int ne13,
-        const int ne31,
-        const int nb31,
-        const int nb01,
-        const int nb02,
-        const int nb03,
-        const int nb11,
-        const int nb12,
-        const int nb13,
-        const int ne0,
-        const int ne1,
-        const int ne2,
-        const int ne3) {
-    //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
-
-    const int ic0 = (blockIdx.x / parallel_blocks) * ncols; // Index of the Q/QKV column to work on.
-    const int ip  =  blockIdx.x % parallel_blocks; // Index in group of blocks running for the same column in parallel.
-
-    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
-    const float2 * Q_f2  = (const float2 *) (Q    + nb02* blockIdx.y              + nb01*ic0);
-    const half2  * K_h2  = (const half2  *) (K    + nb12*(blockIdx.y / gqa_ratio));
-    const half   * V_h   = (const half   *) (V    + nb12*(blockIdx.y / gqa_ratio)); // K and V have same shape
-    const half   * maskh = (const half   *)  mask + ne11*ic0;
-
-    const int stride_KV  = nb11 / sizeof(half);
-    const int stride_KV2 = nb11 / sizeof(half2);
-
-    float slope = 1.0f;
-
-    // ALiBi
-    if (max_bias > 0.0f) {
-        const int h = blockIdx.y;
-
-        const float base = h < n_head_log2 ? m0 : m1;
-        const int   exph = h < n_head_log2 ? h + 1 : 2*(h - n_head_log2) + 1;
-
-        slope = powf(base, exph);
-    }
-
-    static_assert(D % (2*WARP_SIZE) == 0, "D not divisible by 2*WARP_SIZE == 64.");
-    constexpr int nwarps = D / WARP_SIZE;
-    const int tid = WARP_SIZE*threadIdx.y + threadIdx.x;
-    __builtin_assume(tid < D);
-
-    __shared__ float KQ[ncols*D];
-#pragma unroll
-    for (int j = 0; j < ncols; ++j) {
-        KQ[j*D + tid] = -FLT_MAX/2.0f;
-    }
-
-    float kqmax[ncols];
-#pragma unroll
-    for (int j = 0; j < ncols; ++j) {
-        kqmax[j] = -FLT_MAX/2.0f;
-    }
-    float kqsum[ncols] = {0.0f};
-
-    __shared__ float kqmax_shared[ncols][WARP_SIZE];
-    __shared__ float kqsum_shared[ncols][WARP_SIZE];
-#pragma unroll
-    for (int j = 0; j < ncols; ++j) {
-        if (threadIdx.y == 0) {
-            kqmax_shared[j][threadIdx.x] = -FLT_MAX/2.0f;
-            kqsum_shared[j][threadIdx.x] = 0.0f;
-        }
-    }
-    __syncthreads();
-
-    // Convert Q to half2 and store in registers:
-    float2 Q_h2[ncols][D/(2*WARP_SIZE)];
-#pragma unroll
-    for (int j = 0; j < ncols; ++j) {
-#pragma unroll
-        for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
-            const int i = i0 + threadIdx.x;
-
-            Q_h2[j][i0/WARP_SIZE]    = Q_f2[j*(nb01/sizeof(float2)) + i];
-            Q_h2[j][i0/WARP_SIZE].x *= scale;
-            Q_h2[j][i0/WARP_SIZE].y *= scale;
-        }
-    }
-
-    float VKQ[ncols] = {0.0f};
-
-    const int k_start = parallel_blocks == 1 ? 0 : ip*D;
-    for (int k_VKQ_0 = k_start; k_VKQ_0 < ne11; k_VKQ_0 += parallel_blocks*D) {
-        // Calculate KQ tile and keep track of new maximum KQ values:
-
-        float kqmax_new_arr[ncols];
-#pragma unroll
-        for (int j = 0; j < ncols; ++j) {
-            kqmax_new_arr[j] = kqmax[j];
-        }
-
-#pragma unroll
-        for (int i_KQ_0 = 0; i_KQ_0 < D; i_KQ_0 += nwarps) {
-            const int i_KQ = i_KQ_0 + threadIdx.y;
-
-            if ((i_KQ_0 + nwarps > D && i_KQ >= D) || (FATTN_KQ_STRIDE % D != 0 && k_VKQ_0 + i_KQ >= ne11)) {
-                break;
-            }
-
-            float sum[ncols] = {0.0f};
-#pragma unroll
-            for (int k_KQ_0 = 0; k_KQ_0 < D/2; k_KQ_0 += WARP_SIZE) {
-                const int k_KQ = k_KQ_0 + threadIdx.x;
-
-                const half2 K_ik = K_h2[(k_VKQ_0 + i_KQ)*stride_KV2 + k_KQ];
-#pragma unroll
-                for (int j = 0; j < ncols; ++j) {
-                    sum[j] +=  __low2float(K_ik) * Q_h2[j][k_KQ_0/WARP_SIZE].x;
-                    sum[j] += __high2float(K_ik) * Q_h2[j][k_KQ_0/WARP_SIZE].y;
-                }
-            }
-
-#pragma unroll
-            for (int j = 0; j < ncols; ++j) {
-                sum[j] = warp_reduce_sum(sum[j]);
-                sum[j] += mask ? slope*__half2float(maskh[j*ne11 + k_VKQ_0 + i_KQ]) : 0.0f;
-
-                kqmax_new_arr[j] = fmaxf(kqmax_new_arr[j], sum[j]);
-
-                if (threadIdx.x == 0) {
-                    KQ[j*D + i_KQ] = sum[j];
-                }
-            }
-        }
-
-#pragma unroll
-        for (int j = 0; j < ncols; ++j) {
-            float kqmax_new_j = kqmax_new_arr[j];
-
-            kqmax_new_j = warp_reduce_max(kqmax_new_j);
-            if (threadIdx.x == 0) {
-                kqmax_shared[j][threadIdx.y] = kqmax_new_j;
-            }
-        }
-
-        __syncthreads();
-
-#pragma unroll
-        for (int j = 0; j < ncols; ++j) {
-            float kqmax_new_j = kqmax_shared[j][threadIdx.x];
-            kqmax_new_j = warp_reduce_max(kqmax_new_j);
-
-            const float KQ_max_scale = expf(kqmax[j] - kqmax_new_j);
-            kqmax[j] = kqmax_new_j;
-
-            const float val = expf(KQ[j*D + tid] - kqmax[j]);
-            kqsum[j] = kqsum[j]*KQ_max_scale + val;
-            KQ[j*D + tid] = val;
-
-            VKQ[j] *= KQ_max_scale;
-        }
-
-        __syncthreads();
-
-#pragma unroll
-        for (int k = 0; k < D; ++k) {
-            if (FATTN_KQ_STRIDE % D != 0 && k_VKQ_0 + k >= ne11) {
-                break;
-            }
-
-            const float V_ki = __half2float(V_h[(k_VKQ_0 + k)*stride_KV + tid]);
-#pragma unroll
-            for (int j = 0; j < ncols; ++j) {
-                VKQ[j] += V_ki*KQ[j*D + k];
-            }
-        }
-
-        __syncthreads();
-    }
-
-#pragma unroll
-    for (int j = 0; j < ncols; ++j) {
-        kqsum[j] = warp_reduce_sum(kqsum[j]);
-        if (threadIdx.x == 0) {
-            kqsum_shared[j][threadIdx.y] = kqsum[j];
-        }
-    }
-
-    __syncthreads();
-
-#pragma unroll
-    for (int j_VKQ = 0; j_VKQ < ncols; ++j_VKQ) {
-        kqsum[j_VKQ] = kqsum_shared[j_VKQ][threadIdx.x];
-        kqsum[j_VKQ] = warp_reduce_sum(kqsum[j_VKQ]);
-
-        float dst_val = VKQ[j_VKQ];
-        if (parallel_blocks == 1) {
-            dst_val /= kqsum[j_VKQ];
-        }
-        const int j_dst = (ic0 + j_VKQ)*parallel_blocks + ip;
-        dst[j_dst*D*gridDim.y + D*blockIdx.y + tid] = dst_val;
-    }
-
-    if (parallel_blocks != 1 && tid != 0) {
-#pragma unroll
-        for (int j = 0; j < ncols; ++j) {
-            dst_meta[(ic0 + j)*gridDim.y*parallel_blocks + blockIdx.y*parallel_blocks + ip] = make_float2(kqmax[j], kqsum[j]);
-        }
-    }
-}
-
-template <int D, int cols_per_block, int parallel_blocks> void launch_fattn_vec_f32(
-        const ggml_tensor * Q, const ggml_tensor * K, const ggml_tensor * V, ggml_tensor * KQV, const ggml_tensor * mask,
-        ggml_cuda_pool & pool, cudaStream_t main_stream
-) {
-    ggml_cuda_pool_alloc<float>  dst_tmp(pool);
-    ggml_cuda_pool_alloc<float2> dst_tmp_meta(pool);
-
-    if (parallel_blocks > 1) {
-        dst_tmp.alloc(parallel_blocks*ggml_nelements(KQV));
-        dst_tmp_meta.alloc(parallel_blocks*ggml_nrows(KQV));
-    }
-
-    constexpr int  nwarps = (D + WARP_SIZE - 1) / WARP_SIZE;
-    const     dim3 block_dim(WARP_SIZE, nwarps, 1);
-    const     dim3 blocks_num(parallel_blocks*((Q->ne[1] + cols_per_block - 1) / cols_per_block), Q->ne[2], Q->ne[3]);
-    const     int  shmem = 0;
-
-    float scale    = 1.0f;
-    float max_bias = 0.0f;
-
-    memcpy(&scale,    (float *) KQV->op_params + 0, sizeof(float));
-    memcpy(&max_bias, (float *) KQV->op_params + 1, sizeof(float));
-
-    const uint32_t n_head      = Q->ne[2];
-    const uint32_t n_head_log2 = 1u << (uint32_t) floorf(log2f((float) n_head));
-
-    const float m0 = powf(2.0f, -(max_bias       ) / n_head_log2);
-    const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
-
-    flash_attn_vec_ext_f32<D, cols_per_block, parallel_blocks>
-        <<<blocks_num, block_dim, shmem, main_stream>>> (
-                (const char *) Q->data,
-                (const char *) K->data,
-                (const char *) V->data,
-                mask ? ((const char *) mask->data) : nullptr,
-                parallel_blocks == 1 ? (float *) KQV->data : dst_tmp.ptr, dst_tmp_meta.ptr,
-                scale, max_bias, m0, m1, n_head_log2,
-                Q->ne[0], Q->ne[1], Q->ne[2], Q->ne[3],
-                K->ne[0], K->ne[1], K->ne[2], K->ne[3],
-                mask ? mask->ne[1] : 0, mask ?  mask->nb[1] : 0,
-                Q->nb[1], Q->nb[2], Q->nb[3],
-                K->nb[1], K->nb[2], K->nb[3],
-                KQV->ne[0], KQV->ne[1], KQV->ne[2], KQV->ne[3]
-                );
-    CUDA_CHECK(cudaGetLastError());
-
-    if (parallel_blocks == 1) {
-        return;
-    }
-
-    const dim3 block_dim_combine(D, 1, 1);
-    const dim3 blocks_num_combine(Q->ne[1], blocks_num.y, blocks_num.z);
-    const int  shmem_combine = 0;
-
-    flash_attn_combine_results<D, parallel_blocks>
-        <<<blocks_num_combine, block_dim_combine, shmem_combine, main_stream>>>
-        (dst_tmp.ptr, dst_tmp_meta.ptr, (float *) KQV->data);
-    CUDA_CHECK(cudaGetLastError());
-}
-
-void ggml_cuda_flash_attn_ext_vec_f32(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
-    const ggml_tensor * Q = dst->src[0];
-    const ggml_tensor * K = dst->src[1];
-    const ggml_tensor * V = dst->src[2];
-
-    const ggml_tensor * mask = dst->src[3];
-
-    ggml_tensor * KQV = dst;
-
-    GGML_ASSERT(Q->ne[0] == 64 || Q->ne[0] == 128 && "FlashAttention without tensor cores only supports head sizes 64 and 128.");
-
-    if (Q->ne[1] == 1) {
-        constexpr int cols_per_block = 1;
-        constexpr int parallel_blocks = 4;
-        switch (Q->ne[0]) {
-            case 64:
-                launch_fattn_vec_f32< 64, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            case 128:
-                launch_fattn_vec_f32<128, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            default:
-                GGML_ASSERT(false);
-                break;
-        }
-        return;
-    }
-
-    if (Q->ne[1] == 2) {
-        constexpr int cols_per_block = 2;
-        constexpr int parallel_blocks = 4;
-        switch (Q->ne[0]) {
-            case 64:
-                launch_fattn_vec_f32< 64, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            case 128:
-                launch_fattn_vec_f32<128, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            default:
-                GGML_ASSERT(false);
-                break;
-        }
-        return;
-    }
-
-    if (Q->ne[1] <= 4) {
-        constexpr int cols_per_block = 4;
-        constexpr int parallel_blocks = 4;
-        switch (Q->ne[0]) {
-            case 64:
-                launch_fattn_vec_f32< 64, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            case 128:
-                launch_fattn_vec_f32<128, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            default:
-                GGML_ASSERT(false);
-                break;
-        }
-        return;
-    }
-
-    if (Q->ne[1] <= 8) {
-        constexpr int cols_per_block = 8;
-        constexpr int parallel_blocks = 4;
-        switch (Q->ne[0]) {
-            case 64:
-                launch_fattn_vec_f32< 64, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            case 128:
-                launch_fattn_vec_f32<128, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-                break;
-            default:
-                GGML_ASSERT(false);
-                break;
-        }
-        return;
-    }
-
-    constexpr int cols_per_block = 8;
-    constexpr int parallel_blocks = 1;
-    switch (Q->ne[0]) {
-        case 64:
-            launch_fattn_vec_f32< 64, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-            break;
-        case 128:
-            launch_fattn_vec_f32<128, cols_per_block, parallel_blocks>(Q, K, V, KQV, mask, ctx.pool(), ctx.stream());
-            break;
-        default:
-            GGML_ASSERT(false);
-            break;
-    }
-}
diff --git a/ggml-cuda/fattn-vec-f32.cuh b/ggml-cuda/fattn-vec-f32.cuh
index 614d54ae3..ddf0c8374 100644
--- a/ggml-cuda/fattn-vec-f32.cuh
+++ b/ggml-cuda/fattn-vec-f32.cuh
@@ -1,3 +1,374 @@
 #include "common.cuh"
+#include "fattn-common.cuh"
 
-void ggml_cuda_flash_attn_ext_vec_f32(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
+template<int D, int ncols, int parallel_blocks, ggml_type type_K, ggml_type type_V> // D == head size
+#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
+__launch_bounds__(D, 1)
+#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
+static __global__ void flash_attn_vec_ext_f32(
+        const char * __restrict__ Q,
+        const char * __restrict__ K,
+        const char * __restrict__ V,
+        const char * __restrict__ mask,
+        float      * __restrict__ dst,
+        float2     * __restrict__ dst_meta,
+        const float scale,
+        const float max_bias,
+        const float m0,
+        const float m1,
+        const uint32_t n_head_log2,
+        const int ne00,
+        const int ne01,
+        const int ne02,
+        const int ne03,
+        const int ne10,
+        const int ne11,
+        const int ne12,
+        const int ne13,
+        const int ne31,
+        const int nb31,
+        const int nb01,
+        const int nb02,
+        const int nb03,
+        const int nb11,
+        const int nb12,
+        const int nb13,
+        const int nb21,
+        const int nb22,
+        const int nb23,
+        const int ne0,
+        const int ne1,
+        const int ne2,
+        const int ne3) {
+    //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
+
+    constexpr vec_dot_KQ_f32_t vec_dot_KQ = get_vec_dot_KQ_f32<D>(type_K);
+    constexpr bool Q_q8_1 = type_K != GGML_TYPE_F16;
+    constexpr dequantize_1_f32_t dequantize_1_v = get_dequantize_1_f32(type_V);
+
+    const int ic0 = (blockIdx.x / parallel_blocks) * ncols; // Index of the Q/QKV column to work on.
+    const int ip  =  blockIdx.x % parallel_blocks; // Index in group of blocks running for the same column in parallel.
+
+    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
+    Q += nb02* blockIdx.y              + nb01*ic0;
+    K += nb12*(blockIdx.y / gqa_ratio);
+    V += nb22*(blockIdx.y / gqa_ratio); // K and V have same shape
+    const half * maskh = (const half   *)  mask + ne11*ic0;
+
+    const float slope = get_alibi_slope(max_bias, blockIdx.y, n_head_log2, m0, m1);
+
+    static_assert(D % (2*WARP_SIZE) == 0, "D not divisible by 2*WARP_SIZE == 64.");
+    constexpr int nwarps = D / WARP_SIZE;
+    const int tid = WARP_SIZE*threadIdx.y + threadIdx.x;
+    __builtin_assume(tid < D);
+
+    __shared__ float KQ[ncols*D];
+#pragma unroll
+    for (int j = 0; j < ncols; ++j) {
+        KQ[j*D + tid] = -FLT_MAX/2.0f;
+    }
+
+    float kqmax[ncols];
+#pragma unroll
+    for (int j = 0; j < ncols; ++j) {
+        kqmax[j] = -FLT_MAX/2.0f;
+    }
+    float kqsum[ncols] = {0.0f};
+
+    __shared__ float kqmax_shared[ncols][WARP_SIZE];
+    __shared__ float kqsum_shared[ncols][WARP_SIZE];
+#pragma unroll
+    for (int j = 0; j < ncols; ++j) {
+        if (threadIdx.y == 0) {
+            kqmax_shared[j][threadIdx.x] = -FLT_MAX/2.0f;
+            kqsum_shared[j][threadIdx.x] = 0.0f;
+        }
+    }
+    __syncthreads();
+
+    // Convert Q to float2 (f16 K) or q8_1 (quantized K) and store in registers:
+    float2  Q_f2[ncols][D/(2*WARP_SIZE)];
+    int    Q_i32[ncols][D/(sizeof(int)*QK8_1) == 0 ? 1 : D >= D/(sizeof(int)*QK8_1)];
+    float2  Q_ds[ncols][D/QK8_1 == 0 ? 1 : D/QK8_1];
+    if (Q_q8_1) {
+#pragma unroll
+        for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+            const int j = j0 + threadIdx.y;
+
+            if (j0 + nwarps > ncols && j >= ncols) {
+                break;
+            }
+
+            // Reuse KQ as temporary storage for converting Q to q8_1:
+            int    * tmp_q_i32 = (int    *) &KQ[j*D];
+            float2 * tmp_q_ds  = (float2 *) (tmp_q_i32 + D/sizeof(int));
+
+            // Set memory to zero if out of bounds:
+            if (ncols > 2 && ic0 + j >= ne01) {
+#pragma unroll
+                for (int i0 = 0; i0 < D/sizeof(int); i0 += WARP_SIZE) {
+                    const int i = i0 + threadIdx.x;
+
+                    tmp_q_i32[i] = 0;
+                }
+                if (threadIdx.x < D/QK8_1) {
+                    tmp_q_ds[threadIdx.x] = make_float2(0.0f, 0.0f);
+                }
+                continue;
+            }
+
+            const float * Q_f = (const float *) (Q + j*nb01);
+#pragma unroll
+            for (int i0 = 0; i0 < D/sizeof(int); i0 += WARP_SIZE) {
+                quantize_q8_1_to_shared<float2>(Q_f + 4*i0, scale, tmp_q_i32, tmp_q_ds);
+            }
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            int    * tmp_q_i32 = (int    *) &KQ[j*D];
+            float2 * tmp_q_ds  = (float2 *) (tmp_q_i32 + D/sizeof(int));
+
+#pragma unroll
+            for (int i0 = 0; i0 < D/sizeof(int); i0 += WARP_SIZE) {
+                const int i = i0 + threadIdx.x;
+
+                Q_i32[j][i0/WARP_SIZE] = tmp_q_i32[i];
+                Q_ds[j][i0/WARP_SIZE]  = tmp_q_ds[i/QI8_1];
+            }
+        }
+
+        __syncthreads();
+    } else {
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            const float2 * Q_f2_j = (const float2 *) (Q + j*nb01);
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+                const int i = i0 + threadIdx.x;
+
+                Q_f2[j][i0/WARP_SIZE]    = ncols <= 2 || ic0 + j ? Q_f2_j[i] : make_float2(0.0f, 0.0f);
+                Q_f2[j][i0/WARP_SIZE].x *= scale;
+                Q_f2[j][i0/WARP_SIZE].y *= scale;
+            }
+        }
+    }
+
+    float VKQ[ncols] = {0.0f};
+
+    const int k_start = parallel_blocks == 1 ? 0 : ip*D;
+    for (int k_VKQ_0 = k_start; k_VKQ_0 < ne11; k_VKQ_0 += parallel_blocks*D) {
+        // Calculate KQ tile and keep track of new maximum KQ values:
+
+        float kqmax_new_arr[ncols];
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            kqmax_new_arr[j] = kqmax[j];
+        }
+
+#pragma unroll
+        for (int i_KQ_0 = 0; i_KQ_0 < D; i_KQ_0 += nwarps) {
+            const int i_KQ = i_KQ_0 + threadIdx.y;
+
+            if ((i_KQ_0 + nwarps > D && i_KQ >= D) || (FATTN_KQ_STRIDE % D != 0 && k_VKQ_0 + i_KQ >= ne11)) {
+                break;
+            }
+
+#pragma unroll
+            for (int j = 0; j < ncols; ++j) {
+                float sum = vec_dot_KQ(K + (k_VKQ_0 + i_KQ)*nb11, Q_f2[j], Q_i32[j], Q_ds[j]);
+                sum = warp_reduce_sum(sum);
+                sum += mask ? slope*__half2float(maskh[j*ne11 + k_VKQ_0 + i_KQ]) : 0.0f;
+
+                kqmax_new_arr[j] = fmaxf(kqmax_new_arr[j], sum);
+
+                if (threadIdx.x == 0) {
+                    KQ[j*D + i_KQ] = sum;
+                }
+            }
+        }
+
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            float kqmax_new_j = kqmax_new_arr[j];
+
+            kqmax_new_j = warp_reduce_max(kqmax_new_j);
+            if (threadIdx.x == 0) {
+                kqmax_shared[j][threadIdx.y] = kqmax_new_j;
+            }
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int j = 0; j < ncols; ++j) {
+            float kqmax_new_j = kqmax_shared[j][threadIdx.x];
+            kqmax_new_j = warp_reduce_max(kqmax_new_j);
+
+            const float KQ_max_scale = expf(kqmax[j] - kqmax_new_j);
+            kqmax[j] = kqmax_new_j;
+
+            const float val = expf(KQ[j*D + tid] - kqmax[j]);
+            kqsum[j] = kqsum[j]*KQ_max_scale + val;
+            KQ[j*D + tid] = val;
+
+            VKQ[j] *= KQ_max_scale;
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int k = 0; k < D; ++k) {
+            if (FATTN_KQ_STRIDE % D != 0 && k_VKQ_0 + k >= ne11) {
+                break;
+            }
+
+            const float V_ki = dequantize_1_v(V + (k_VKQ_0 + k)*nb21, tid);
+#pragma unroll
+            for (int j = 0; j < ncols; ++j) {
+                VKQ[j] += V_ki*KQ[j*D + k];
+            }
+        }
+
+        __syncthreads();
+    }
+
+#pragma unroll
+    for (int j = 0; j < ncols; ++j) {
+        kqsum[j] = warp_reduce_sum(kqsum[j]);
+        if (threadIdx.x == 0) {
+            kqsum_shared[j][threadIdx.y] = kqsum[j];
+        }
+    }
+
+    __syncthreads();
+
+#pragma unroll
+    for (int j_VKQ = 0; j_VKQ < ncols; ++j_VKQ) {
+        if (ncols > 2 && ic0 + j_VKQ >= ne01) {
+            break;
+        }
+
+        kqsum[j_VKQ] = kqsum_shared[j_VKQ][threadIdx.x];
+        kqsum[j_VKQ] = warp_reduce_sum(kqsum[j_VKQ]);
+
+        float dst_val = VKQ[j_VKQ];
+        if (parallel_blocks == 1) {
+            dst_val /= kqsum[j_VKQ];
+        }
+        const int j_dst = (ic0 + j_VKQ)*parallel_blocks + ip;
+        dst[j_dst*D*gridDim.y + D*blockIdx.y + tid] = dst_val;
+    }
+
+    if (parallel_blocks != 1 && tid < ncols && (ncols <= 2 || ic0 + tid < ne01)) {
+        dst_meta[(ic0 + tid)*gridDim.y*parallel_blocks + blockIdx.y*parallel_blocks + ip] = make_float2(kqmax[tid], kqsum[tid]);
+    }
+}
+
+template <int D, int cols_per_block, int parallel_blocks, ggml_type type_K, ggml_type type_V>
+void ggml_cuda_flash_attn_ext_vec_f32_case_impl(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    constexpr int nwarps = D/WARP_SIZE;
+    fattn_kernel_t fattn_kernel = flash_attn_vec_ext_f32<D, cols_per_block, parallel_blocks, type_K, type_V>;
+    constexpr bool need_f16_K = D != 128;
+    constexpr bool need_f16_V = D != 128 && D != 64;
+    launch_fattn<D, parallel_blocks>(ctx, dst, fattn_kernel, nwarps, cols_per_block, need_f16_K, need_f16_V);
+}
+
+template <int D, ggml_type type_K, ggml_type type_V>
+void ggml_cuda_flash_attn_ext_vec_f32_case(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * Q   = dst->src[0];
+    ggml_tensor * K   = dst->src[1];
+    ggml_tensor * V   = dst->src[2];
+
+    GGML_ASSERT(K->type == type_K);
+    GGML_ASSERT(V->type == type_V);
+
+    if (Q->ne[1] == 1) {
+        constexpr int cols_per_block  = 1;
+        constexpr int parallel_blocks = 4;
+        ggml_cuda_flash_attn_ext_vec_f32_case_impl<D, cols_per_block, parallel_blocks, type_K, type_V>(ctx, dst);
+        return;
+    }
+
+    if (Q->ne[1] == 2) {
+        constexpr int cols_per_block  = 2;
+        constexpr int parallel_blocks = 4;
+        ggml_cuda_flash_attn_ext_vec_f32_case_impl<D, cols_per_block, parallel_blocks, type_K, type_V>(ctx, dst);
+        return;
+    }
+
+    if (Q->ne[1] <= 4) {
+        constexpr int cols_per_block  = 4;
+        constexpr int parallel_blocks = 4;
+        ggml_cuda_flash_attn_ext_vec_f32_case_impl<D, cols_per_block, parallel_blocks, type_K, type_V>(ctx, dst);
+        return;
+    }
+
+    if (Q->ne[1] <= 8) {
+        constexpr int cols_per_block  = 8;
+        constexpr int parallel_blocks = 4;
+        ggml_cuda_flash_attn_ext_vec_f32_case_impl<D, cols_per_block, parallel_blocks, type_K, type_V>(ctx, dst);
+        return;
+    }
+
+    constexpr int cols_per_block  = 8;
+    constexpr int parallel_blocks = 1;
+    ggml_cuda_flash_attn_ext_vec_f32_case_impl<D, cols_per_block, parallel_blocks, type_K, type_V>(ctx, dst);
+}
+
+#define DECL_FATTN_VEC_F32_CASE(D, type_K, type_V)                          \
+    template void ggml_cuda_flash_attn_ext_vec_f32_case                     \
+    <D, type_K, type_V>(ggml_backend_cuda_context & ctx, ggml_tensor * dst) \
+
+extern DECL_FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_0);
+extern DECL_FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_1);
+extern DECL_FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_0);
+extern DECL_FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_1);
+extern DECL_FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q8_0);
+extern DECL_FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_F16);
+
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q4_0);
+
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q4_1);
+
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q5_0);
+
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q5_1);
+
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q8_0);
+
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_F16);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_F16);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_F16);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_F16);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_F16);
+extern DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_F16,  GGML_TYPE_F16);
+
+extern DECL_FATTN_VEC_F32_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16);
diff --git a/ggml-cuda/fattn-wmma-f16.cuh b/ggml-cuda/fattn-wmma-f16.cuh
new file mode 100644
index 000000000..59cd30d78
--- /dev/null
+++ b/ggml-cuda/fattn-wmma-f16.cuh
@@ -0,0 +1,490 @@
+#include "common.cuh"
+#include "fattn-common.cuh"
+
+#if FP16_MMA_AVAILABLE
+#include <mma.h>
+#endif
+
+// D == head size, VKQ_stride == num VKQ rows calculated in parallel:
+template<int D, int ncols, int nwarps, int VKQ_stride, int parallel_blocks, typename KQ_acc_t>
+#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
+__launch_bounds__(nwarps*WARP_SIZE, 1)
+#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
+static __global__ void flash_attn_ext_f16(
+        const char * __restrict__ Q,
+        const char * __restrict__ K,
+        const char * __restrict__ V,
+        const char * __restrict__ mask,
+        float      * __restrict__ dst,
+        float2     * __restrict__ dst_meta,
+        const float scale,
+        const float max_bias,
+        const float m0,
+        const float m1,
+        const uint32_t n_head_log2,
+        const int ne00,
+        const int ne01,
+        const int ne02,
+        const int ne03,
+        const int ne10,
+        const int ne11,
+        const int ne12,
+        const int ne13,
+        const int ne31,
+        const int nb31,
+        const int nb01,
+        const int nb02,
+        const int nb03,
+        const int nb11,
+        const int nb12,
+        const int nb13,
+        const int nb21,
+        const int nb22,
+        const int nb23,
+        const int ne0,
+        const int ne1,
+        const int ne2,
+        const int ne3) {
+#if FP16_MMA_AVAILABLE
+    //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
+
+    const int ic0 = ncols*(blockIdx.x / parallel_blocks); // Index of the first Q/QKV column to work on.
+    const int ip  =        blockIdx.x % parallel_blocks;  // Index in group of blocks running for the same column in parallel.
+
+    static_assert(D <= FATTN_KQ_STRIDE, "D must be <= FATTN_KQ_STRIDE.");
+    static_assert(ncols == 8 || ncols % 16 == 0, "ncols must be 8 or a multiple of 16.");
+    constexpr int frag_m = ncols == 8 ? 32 : 16;
+    constexpr int frag_n = ncols == 8 ?  8 : 16;
+    static_assert(D % frag_m == 0, "If ncols == 8 then D % frag_m must be 0.");
+    typedef nvcuda::wmma::fragment<nvcuda::wmma::matrix_a,    frag_m, frag_n, 16, half, nvcuda::wmma::row_major> frag_a_K;
+    typedef nvcuda::wmma::fragment<nvcuda::wmma::matrix_a,    frag_m, frag_n, 16, half, nvcuda::wmma::col_major> frag_a_V;
+    typedef nvcuda::wmma::fragment<nvcuda::wmma::matrix_b,    frag_m, frag_n, 16, half, nvcuda::wmma::col_major> frag_b;
+    typedef nvcuda::wmma::fragment<nvcuda::wmma::accumulator, frag_m, frag_n, 16, KQ_acc_t>                      frag_c_KQ;
+    typedef nvcuda::wmma::fragment<nvcuda::wmma::accumulator, frag_m, frag_n, 16, half>                          frag_c_VKQ;
+
+    constexpr int KQ_stride_tc  = nwarps*frag_m; // Number of KQ rows calculated in parallel.
+    constexpr int VKQ_ratio = KQ_stride_tc/VKQ_stride; // Number of parallel VKQ accumulators needed to keep all warps busy.
+    static_assert(VKQ_ratio <= nwarps, "VKQ_ratio must be <= nwarps.");
+
+    // Pad internal representation of KQ, KQV to reduce shared memory bank conflicts:
+    constexpr int D_padded = D + 8;
+    constexpr int kqs_padded = FATTN_KQ_STRIDE + 8;
+    constexpr int kqar = sizeof(KQ_acc_t)/sizeof(half);
+
+    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
+    const float * Q_f   = (const float *) (Q + nb02* blockIdx.y              + nb01*ic0);
+    const half  * K_h   = (const half  *) (K + nb12*(blockIdx.y / gqa_ratio));
+    const half  * V_h   = (const half  *) (V + nb12*(blockIdx.y / gqa_ratio)); // K and V have same shape
+    const half  * maskh = (const half  *)  mask + (nb31/sizeof(half))* ic0;
+    const half2 * mask2 = (const half2 *)  mask + (nb31/sizeof(half))*(ic0/2);
+
+    const int stride_Q  = nb01 / sizeof(float);
+    const int stride_KV = nb11 / sizeof(half);
+
+    const float slopef = get_alibi_slope(max_bias, blockIdx.y, n_head_log2, m0, m1);
+    const half  slopeh = __float2half(slopef);
+    const half2 slope2 = make_half2(slopef, slopef);
+
+    frag_b Q_b[D/16][ncols/frag_n];
+
+    // A single buffer for temporarily holding tiles of KQ and VKQ parts:
+    constexpr int mem_KQ = ncols*kqs_padded*kqar;
+    constexpr int mem_VKQ_parts = VKQ_ratio*ncols*D_padded;
+    __shared__ half KQ[mem_KQ >= mem_VKQ_parts ? mem_KQ : mem_VKQ_parts];
+    float * KQ_f = (float *) KQ;
+    half2 * KQ2 = (half2 *) KQ;
+
+    float    KQ_rowsum_f[ncols/nwarps] = {0.0f};
+    float       KQ_max_f[ncols/nwarps];
+    float KQ_max_scale_f[ncols/nwarps] = {0.0f};
+
+#pragma unroll
+    for (int j = 0; j < ncols/nwarps; ++j) {
+        KQ_max_f[j] = -FLT_MAX/2.0f;
+    }
+
+    half2    KQ_rowsum_h2[ncols/nwarps] = {{0.0f, 0.0f}};
+    half2       KQ_max_h2[ncols/nwarps];
+    half2 KQ_max_scale_h2[ncols/nwarps] = {{0.0f, 0.0f}};
+
+#pragma unroll
+    for (int j = 0; j < ncols/nwarps; ++j) {
+        KQ_max_h2[j] = make_half2(-HALF_MAX_HALF, -HALF_MAX_HALF);
+    }
+
+    __shared__ half VKQ[ncols*D_padded]; // Accumulator for final VKQ slice.
+    half2 * VKQ2 = (half2 *) VKQ;
+#pragma unroll
+    for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+#pragma unroll
+        for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+            if (i0 + WARP_SIZE > D/2 && i >= D/2) {
+                break;
+            }
+            VKQ2[j*(D_padded/2) + i] = make_half2(0.0f, 0.0f);
+        }
+    }
+
+    // Convert Q to half and apply scale, temporarily store in KQ:
+#pragma unroll
+    for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+#pragma unroll
+        for (int i0 = 0; i0 < D; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+            if (i0 + WARP_SIZE > D && i >= D) {
+                break;
+            }
+            KQ[j*D_padded + i] = ic0 + j < ne01 ? Q_f[j*stride_Q + i] * scale : 0.0f;
+        }
+    }
+
+    __syncthreads();
+
+    // Load Q into tensor core fragments/registers since it will be used frequently:
+#pragma unroll
+    for (int i0 = 0; i0 < D; i0 += 16) {
+#pragma unroll
+        for (int j0 = 0; j0 < ncols; j0 += frag_n) {
+            nvcuda::wmma::load_matrix_sync(Q_b[i0/16][j0/frag_n], KQ + j0*D_padded + i0, D_padded);
+        }
+    }
+
+    __syncthreads();
+
+    // Iterate over ne11 == previous tokens:
+    for (int k_VKQ_0 = ip*FATTN_KQ_STRIDE; k_VKQ_0 < ne11; k_VKQ_0 += parallel_blocks*FATTN_KQ_STRIDE) {
+        // Calculate tile of KQ:
+#pragma unroll
+        for (int i_KQ_0 = 0; i_KQ_0 < FATTN_KQ_STRIDE; i_KQ_0 += KQ_stride_tc) {
+            frag_c_KQ KQ_c[ncols/frag_n];
+#pragma unroll
+            for (int j = 0; j < ncols/frag_n; ++j) {
+                nvcuda::wmma::fill_fragment(KQ_c[j], 0.0f);
+            }
+#pragma unroll
+            for (int k_KQ_0 = 0; k_KQ_0 < D; k_KQ_0 += 16) {
+                frag_a_K K_a;
+                nvcuda::wmma::load_matrix_sync(K_a, K_h + (k_VKQ_0 + i_KQ_0 + frag_m*threadIdx.y)*stride_KV + k_KQ_0, stride_KV);
+#pragma unroll
+                for (int j = 0; j < ncols/frag_n; ++j) {
+                    nvcuda::wmma::mma_sync(KQ_c[j], K_a, Q_b[k_KQ_0/16][j], KQ_c[j]);
+                }
+            }
+#pragma unroll
+            for (int j0 = 0; j0 < ncols; j0 += frag_n) {
+                nvcuda::wmma::store_matrix_sync((KQ_acc_t *) KQ + j0*kqs_padded + i_KQ_0 + frag_m*threadIdx.y, KQ_c[j0/frag_n], kqs_padded, nvcuda::wmma::mem_col_major);
+            }
+        }
+
+        __syncthreads();
+
+        // Calculate softmax for each KQ column using the current max. value.
+        // The divisor is stored in KQ_rowsum and will be applied at the end.
+#pragma unroll
+        for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+            const int j = j0 + threadIdx.y;
+
+            if (std::is_same<KQ_acc_t, float>::value) {
+                float KQ_f_tmp[FATTN_KQ_STRIDE / WARP_SIZE];
+#pragma unroll
+                for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += WARP_SIZE) {
+                    const int k = k0 + threadIdx.x;
+
+                    KQ_f_tmp[k0/WARP_SIZE] = KQ_f[j*kqs_padded + k];
+                }
+
+                float KQ_max_new = KQ_max_f[j0/nwarps];
+#pragma unroll
+                for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += WARP_SIZE) {
+                    const int k = k0 + threadIdx.x;
+
+                    KQ_f_tmp[k0/WARP_SIZE] += mask ? __half2float(slopeh*maskh[j*(nb31/sizeof(half)) + k_VKQ_0 + k]) : 0.0f;
+                    KQ_max_new = max(KQ_max_new, KQ_f_tmp[k0/WARP_SIZE]);
+                }
+                KQ_max_new = warp_reduce_max(KQ_max_new);
+
+                const float diff = KQ_max_f[j0/nwarps] - KQ_max_new;
+                KQ_max_scale_f[j0/nwarps] = expf(diff);
+                if (diff <= SOFTMAX_FTZ_THRESHOLD) {
+                    KQ_max_scale_f[j0/nwarps] = 0.0f;
+                }
+                KQ_max_f[j0/nwarps] = KQ_max_new;
+
+                float KQ_rowsum_add = 0.0f;
+#pragma unroll
+                for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += WARP_SIZE) {
+                    const int k = k0 + threadIdx.x;
+
+                    const float diff = KQ_f_tmp[k0/WARP_SIZE] - KQ_max_f[j0/nwarps];
+                    KQ_f_tmp[k0/WARP_SIZE] = expf(diff);
+                    if (diff <= SOFTMAX_FTZ_THRESHOLD) {
+                        KQ_f_tmp[k0/WARP_SIZE] = 0.0f;
+                    }
+                    KQ_rowsum_add += KQ_f_tmp[k0/WARP_SIZE];
+                    KQ[j*(kqar*kqs_padded) + k] = KQ_f_tmp[k0/WARP_SIZE];
+                }
+                KQ_rowsum_add = warp_reduce_sum(KQ_rowsum_add);
+
+                // Scale previous KQ_rowsum to account for a potential increase in KQ_max:
+                KQ_rowsum_f[j0/nwarps] = KQ_max_scale_f[j0/nwarps]*KQ_rowsum_f[j0/nwarps] + KQ_rowsum_add;
+            } else {
+                half2 KQ2_tmp[FATTN_KQ_STRIDE/(2*WARP_SIZE)];
+#pragma unroll
+                for (int k0 = 0; k0 < FATTN_KQ_STRIDE/2; k0 += WARP_SIZE) {
+                    const int k = k0 + threadIdx.x;
+
+                    KQ2_tmp[k0/WARP_SIZE] = KQ2[j*(kqs_padded/2) + k];
+                }
+
+                half2 KQ_max_new = KQ_max_h2[j0/nwarps];
+#pragma unroll
+                for (int k0 = 0; k0 < FATTN_KQ_STRIDE/2; k0 += WARP_SIZE) {
+                    const int k = k0 + threadIdx.x;
+
+                    KQ2_tmp[k0/WARP_SIZE] += mask ? slope2*mask2[(j*ne11 + k_VKQ_0)/2 + k] : make_half2(0.0f, 0.0f);
+                    KQ_max_new = ggml_cuda_hmax2(KQ_max_new, KQ2_tmp[k0/WARP_SIZE]);
+                }
+                KQ_max_new = __half2half2(warp_reduce_max(ggml_cuda_hmax(__low2half(KQ_max_new), __high2half(KQ_max_new))));
+                const half2 diff = KQ_max_h2[j0/nwarps] - KQ_max_new;
+                KQ_max_scale_h2[j0/nwarps] = h2exp(diff);
+                const uint32_t ftz_mask = __hgt2_mask(diff, make_half2(SOFTMAX_FTZ_THRESHOLD, SOFTMAX_FTZ_THRESHOLD));
+                *((uint32_t *) &KQ_max_scale_h2[j0/nwarps]) &= ftz_mask;
+                KQ_max_h2[j0/nwarps] = KQ_max_new;
+
+                half2 KQ_rowsum_add = make_half2(0.0f, 0.0f);
+#pragma unroll
+                for (int k0 = 0; k0 < FATTN_KQ_STRIDE/2; k0 += WARP_SIZE) {
+                    const int k = k0 + threadIdx.x;
+
+                    const half2 diff = KQ2_tmp[k0/WARP_SIZE] - KQ_max_h2[j0/nwarps];
+                    KQ2_tmp[k0/WARP_SIZE] = h2exp(diff);
+                    const uint32_t ftz_mask = __hgt2_mask(diff, make_half2(SOFTMAX_FTZ_THRESHOLD, SOFTMAX_FTZ_THRESHOLD));
+                    *((uint32_t *) &KQ2_tmp[k0/WARP_SIZE]) &= ftz_mask;
+                    KQ_rowsum_add += KQ2_tmp[k0/WARP_SIZE];
+                    KQ2[j*(kqs_padded/2) + k] = KQ2_tmp[k0/WARP_SIZE];
+                }
+                KQ_rowsum_add = warp_reduce_sum(KQ_rowsum_add);
+
+                // Scale previous KQ_rowsum to account for a potential increase in KQ_max:
+                KQ_rowsum_h2[j0/nwarps] = KQ_max_scale_h2[j0/nwarps]*KQ_rowsum_h2[j0/nwarps] + KQ_rowsum_add;
+            }
+        }
+
+        __syncthreads();
+
+        frag_b KQ_b[FATTN_KQ_STRIDE/(VKQ_ratio*16)][ncols/frag_n];
+#pragma unroll
+        for (int j0 = 0; j0 < ncols; j0 += frag_n) {
+#pragma unroll
+            for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += VKQ_ratio*16) {
+                const int k = k0 + (threadIdx.y % VKQ_ratio)*16;
+                nvcuda::wmma::load_matrix_sync(
+                    KQ_b[k0/(VKQ_ratio*16)][j0/frag_n],
+                    KQ + j0*(kqar*kqs_padded) + k,
+                    kqar*kqs_padded);
+            }
+        }
+
+        frag_c_VKQ VKQ_c[D/VKQ_stride][ncols/frag_n];
+#pragma unroll
+        for (int i_VKQ_0 = 0; i_VKQ_0 < D; i_VKQ_0 += VKQ_stride) {
+#pragma unroll
+            for (int j = 0; j < ncols/frag_n; ++j) {
+                nvcuda::wmma::fill_fragment(VKQ_c[i_VKQ_0/VKQ_stride][j], 0.0f);
+            }
+
+#pragma unroll
+            for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += VKQ_ratio*16) {
+                const int k = k0 + (threadIdx.y % VKQ_ratio)*16;
+
+                frag_a_V v_a;
+                nvcuda::wmma::load_matrix_sync(v_a, V_h + (k_VKQ_0 + k)*stride_KV + i_VKQ_0 + frag_m*(threadIdx.y/VKQ_ratio), stride_KV);
+#pragma unroll
+                for (int j = 0; j < ncols/frag_n; ++j) {
+                    nvcuda::wmma::mma_sync(VKQ_c[i_VKQ_0/VKQ_stride][j], v_a, KQ_b[k0/(VKQ_ratio*16)][j], VKQ_c[i_VKQ_0/VKQ_stride][j]);
+                }
+            }
+        }
+
+        __syncthreads();
+
+        const int offset_k = (threadIdx.y % VKQ_ratio) * (ncols*D_padded);
+#pragma unroll
+        for (int i_KQ_0 = 0; i_KQ_0 < D; i_KQ_0 += VKQ_stride) {
+#pragma unroll
+            for (int j0 = 0; j0 < ncols; j0 += frag_n) {
+                nvcuda::wmma::store_matrix_sync(
+                    KQ + offset_k + j0*D_padded + i_KQ_0 + frag_m*(threadIdx.y/VKQ_ratio),
+                    VKQ_c[i_KQ_0/VKQ_stride][j0/frag_n],
+                    D_padded, nvcuda::wmma::mem_col_major);
+            }
+        }
+
+        __syncthreads();
+
+#pragma unroll
+        for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+            const int j = j0 + threadIdx.y;
+
+            half2 VKQ_scale;
+            if (std::is_same<KQ_acc_t, float>::value) {
+                VKQ_scale = make_half2(KQ_max_scale_f[j0/nwarps], KQ_max_scale_f[j0/nwarps]);
+            } else {
+                VKQ_scale = KQ_max_scale_h2[j0/nwarps];
+            }
+
+#pragma unroll
+            for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
+                const int i = i0 + threadIdx.x;
+                if (i0 + WARP_SIZE > D/2 && i >= D/2) {
+                    break;
+                }
+
+                half2 VKQ_add = make_half2(0.0f, 0.0f);
+#pragma unroll
+                for (int l = 0; l < VKQ_ratio; ++l) {
+                    VKQ_add += KQ2[l*(ncols*D_padded/2) + j*(D_padded/2) + i];
+                }
+                VKQ2[j*(D_padded/2) + i] = VKQ_scale*VKQ2[j*(D_padded/2) + i] + VKQ_add;
+            }
+        }
+
+        __syncthreads();
+    }
+
+#pragma unroll
+    for (int j0 = 0; j0 < ncols; j0 += nwarps) {
+        const int j_VKQ = j0 + threadIdx.y;
+        if (ic0 + j_VKQ >= ne01) {
+            return;
+        }
+        const int j_dst = (ic0 + j_VKQ)*parallel_blocks + ip;
+
+        float KQ_rowsum_j;
+        if (std::is_same<KQ_acc_t, float>::value) {
+            KQ_rowsum_j = KQ_rowsum_f[j0/nwarps];
+        } else {
+            KQ_rowsum_j = __low2float(KQ_rowsum_h2[j0/nwarps]) + __high2float(KQ_rowsum_h2[j0/nwarps]);
+        }
+
+#pragma unroll
+        for (int i0 = 0; i0 < D; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+            if (i0 + WARP_SIZE > D && i >= D) {
+                break;
+            }
+            float dst_val = VKQ[j_VKQ*D_padded + i];
+            if (parallel_blocks == 1) {
+                dst_val /= KQ_rowsum_j;
+            }
+            dst[j_dst*gridDim.y*D + blockIdx.y*D + i] = dst_val;
+        }
+
+        if (parallel_blocks == 1 || threadIdx.x != 0) {
+            continue;
+        }
+
+        float2 dst_meta_val;
+        if (std::is_same<KQ_acc_t, float>::value) {
+            dst_meta_val.x = KQ_max_f[j0/nwarps];
+        } else {
+            dst_meta_val.x = __low2float(KQ_max_h2[j0/nwarps]);
+        }
+        dst_meta_val.y = KQ_rowsum_j;
+        dst_meta[(ic0 + j_VKQ)*gridDim.y*parallel_blocks + blockIdx.y*parallel_blocks + ip] = dst_meta_val;
+    }
+#else
+   NO_DEVICE_CODE;
+#endif // FP16_MMA_AVAILABLE
+}
+
+constexpr int get_max_power_of_2(int x) {
+    return x % 2 == 0 ? 2*get_max_power_of_2(x/2) : 1;
+}
+
+static_assert(get_max_power_of_2(1) == 1, "Test failed.");
+static_assert(get_max_power_of_2(2) == 2, "Test failed.");
+static_assert(get_max_power_of_2(4) == 4, "Test failed.");
+static_assert(get_max_power_of_2(6) == 2, "Test failed.");
+
+// Number of VKQ rows calculated in parallel:
+constexpr int get_VKQ_stride(int D, int nwarps, int frag_m) {
+    return (get_max_power_of_2(D/frag_m) < nwarps ? get_max_power_of_2(D/frag_m) : nwarps)*frag_m;
+}
+
+static_assert(get_VKQ_stride(128, 1, 32) ==  32, "Test failed.");
+static_assert(get_VKQ_stride(128, 2, 32) ==  64, "Test failed.");
+static_assert(get_VKQ_stride(128, 4, 32) == 128, "Test failed.");
+static_assert(get_VKQ_stride( 64, 1, 32) ==  32, "Test failed.");
+static_assert(get_VKQ_stride( 64, 2, 32) ==  64, "Test failed.");
+static_assert(get_VKQ_stride( 64, 4, 32) ==  64, "Test failed.");
+static_assert(get_VKQ_stride( 80, 1, 16) ==  16, "Test failed.");
+static_assert(get_VKQ_stride( 80, 2, 16) ==  16, "Test failed.");
+static_assert(get_VKQ_stride( 80, 4, 16) ==  16, "Test failed.");
+
+template <int D, int cols_per_block, typename KQ_acc_t>
+void ggml_cuda_flash_attn_ext_wmma_f16_case(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * Q = dst->src[0];
+
+    constexpr int nwarps = 4;
+
+    constexpr int frag_m = cols_per_block == 8 && D % 32 == 0 ? 32 : 16;
+    const int blocks_num_pb1 = ((Q->ne[1] + cols_per_block - 1) / cols_per_block)*Q->ne[2]*Q->ne[3];
+    const int nsm = ggml_cuda_info().devices[ggml_cuda_get_device()].nsm;
+
+    if (4*blocks_num_pb1 < 2*nsm) {
+        constexpr int parallel_blocks = 4;
+        fattn_kernel_t fattn_kernel = flash_attn_ext_f16<D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t>;
+        launch_fattn<D, parallel_blocks>(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true);
+        return;
+    }
+    if (2*blocks_num_pb1 < 2*nsm) {
+        constexpr int parallel_blocks = 2;
+        fattn_kernel_t fattn_kernel = flash_attn_ext_f16<D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t>;
+        launch_fattn<D, parallel_blocks>(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true);
+        return;
+    }
+    constexpr int parallel_blocks = 1;
+    fattn_kernel_t fattn_kernel = flash_attn_ext_f16<D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t>;
+    launch_fattn<D, parallel_blocks>(ctx, dst, fattn_kernel, nwarps, cols_per_block, true, true);
+}
+
+#define DECL_FATTN_WMMA_F16_CASE(D, cols_per_block, KQ_acc_t)                         \
+    template void ggml_cuda_flash_attn_ext_wmma_f16_case                              \
+    <D, cols_per_block, KQ_acc_t>(ggml_backend_cuda_context & ctx, ggml_tensor * dst) \
+
+extern DECL_FATTN_WMMA_F16_CASE( 64, 16, float);
+extern DECL_FATTN_WMMA_F16_CASE( 80, 16, float);
+extern DECL_FATTN_WMMA_F16_CASE( 96, 16, float);
+extern DECL_FATTN_WMMA_F16_CASE(112, 16, float);
+extern DECL_FATTN_WMMA_F16_CASE(128, 16, float);
+extern DECL_FATTN_WMMA_F16_CASE(256, 16, float);
+
+extern DECL_FATTN_WMMA_F16_CASE( 64, 32, float);
+extern DECL_FATTN_WMMA_F16_CASE( 80, 32, float);
+extern DECL_FATTN_WMMA_F16_CASE( 96, 32, float);
+extern DECL_FATTN_WMMA_F16_CASE(112, 32, float);
+extern DECL_FATTN_WMMA_F16_CASE(128, 32, float);
+// extern DECL_FATTN_WMMA_F16_CASE(256, 16, float);
+
+extern DECL_FATTN_WMMA_F16_CASE( 64,  8, half);
+extern DECL_FATTN_WMMA_F16_CASE( 96,  8, half);
+extern DECL_FATTN_WMMA_F16_CASE(128,  8, half);
+extern DECL_FATTN_WMMA_F16_CASE(256,  8, half);
+
+extern DECL_FATTN_WMMA_F16_CASE( 64, 16, half);
+extern DECL_FATTN_WMMA_F16_CASE( 80, 16, half);
+extern DECL_FATTN_WMMA_F16_CASE( 96, 16, half);
+extern DECL_FATTN_WMMA_F16_CASE(112, 16, half);
+extern DECL_FATTN_WMMA_F16_CASE(128, 16, half);
+extern DECL_FATTN_WMMA_F16_CASE(256, 16, half);
+
+extern DECL_FATTN_WMMA_F16_CASE( 64, 32, half);
+extern DECL_FATTN_WMMA_F16_CASE( 80, 32, half);
+extern DECL_FATTN_WMMA_F16_CASE( 96, 32, half);
+extern DECL_FATTN_WMMA_F16_CASE(112, 32, half);
+extern DECL_FATTN_WMMA_F16_CASE(128, 32, half);
+extern DECL_FATTN_WMMA_F16_CASE(256, 16, half);
diff --git a/ggml-cuda/fattn.cu b/ggml-cuda/fattn.cu
index 419f8e752..38d30b210 100644
--- a/ggml-cuda/fattn.cu
+++ b/ggml-cuda/fattn.cu
@@ -1,583 +1,41 @@
 #include "common.cuh"
 #include "fattn-common.cuh"
+#include "fattn-tile-f16.cuh"
+#include "fattn-tile-f32.cuh"
 #include "fattn-vec-f16.cuh"
 #include "fattn-vec-f32.cuh"
+#include "fattn-wmma-f16.cuh"
 #include "fattn.cuh"
 
 #include <cstdint>
 
-#if FP16_MMA_AVAILABLE
-#include <mma.h>
-#endif
-
-// D == head size, VKQ_stride == num VKQ rows calculated in parallel:
-template<int D, int ncols, int nwarps, int VKQ_stride, int parallel_blocks, typename KQ_acc_t>
-#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
-__launch_bounds__(nwarps*WARP_SIZE, 1)
-#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
-static __global__ void flash_attn_ext_f16(
-        const char * __restrict__ Q,
-        const char * __restrict__ K,
-        const char * __restrict__ V,
-        const char * __restrict__ mask,
-        float      * __restrict__ dst,
-        float2     * __restrict__ dst_meta,
-        const float scale,
-        const float max_bias,
-        const float m0,
-        const float m1,
-        const uint32_t n_head_log2,
-        const int ne00,
-        const int ne01,
-        const int ne02,
-        const int ne03,
-        const int ne10,
-        const int ne11,
-        const int ne12,
-        const int ne13,
-        const int ne31,
-        const int nb31,
-        const int nb01,
-        const int nb02,
-        const int nb03,
-        const int nb11,
-        const int nb12,
-        const int nb13,
-        const int ne0,
-        const int ne1,
-        const int ne2,
-        const int ne3) {
-#if FP16_MMA_AVAILABLE
-    //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
-
-    const int ic0 = ncols*(blockIdx.x / parallel_blocks); // Index of the first Q/QKV column to work on.
-    const int ip  =        blockIdx.x % parallel_blocks;  // Index in group of blocks running for the same column in parallel.
-
-    static_assert(D <= FATTN_KQ_STRIDE, "D must be <= FATTN_KQ_STRIDE.");
-    static_assert(ncols == 8 || ncols % 16 == 0, "ncols must be 8 or a multiple of 16.");
-    constexpr int frag_m = ncols == 8 ? 32 : 16;
-    constexpr int frag_n = ncols == 8 ?  8 : 16;
-    static_assert(D % frag_m == 0, "If ncols == 8 then D % frag_m must be 0.");
-    typedef nvcuda::wmma::fragment<nvcuda::wmma::matrix_a,    frag_m, frag_n, 16, half, nvcuda::wmma::row_major> frag_a_K;
-    typedef nvcuda::wmma::fragment<nvcuda::wmma::matrix_a,    frag_m, frag_n, 16, half, nvcuda::wmma::col_major> frag_a_V;
-    typedef nvcuda::wmma::fragment<nvcuda::wmma::matrix_b,    frag_m, frag_n, 16, half, nvcuda::wmma::col_major> frag_b;
-    typedef nvcuda::wmma::fragment<nvcuda::wmma::accumulator, frag_m, frag_n, 16, KQ_acc_t>                      frag_c_KQ;
-    typedef nvcuda::wmma::fragment<nvcuda::wmma::accumulator, frag_m, frag_n, 16, half>                          frag_c_VKQ;
-
-    constexpr int KQ_stride_tc  = nwarps*frag_m; // Number of KQ rows calculated in parallel.
-    constexpr int VKQ_ratio = KQ_stride_tc/VKQ_stride; // Number of parallel VKQ accumulators needed to keep all warps busy.
-    static_assert(VKQ_ratio <= nwarps, "VKQ_ratio must be <= nwarps.");
-
-    // Pad internal representation of KQ, KQV to reduce shared memory bank conflicts:
-    constexpr int D_padded = D + 8;
-    constexpr int kqs_padded = FATTN_KQ_STRIDE + 8;
-    constexpr int kqar = sizeof(KQ_acc_t)/sizeof(half);
-
-    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
-    const float * Q_f   = (const float *) (Q + nb02* blockIdx.y              + nb01*ic0);
-    const half  * K_h   = (const half  *) (K + nb12*(blockIdx.y / gqa_ratio));
-    const half  * V_h   = (const half  *) (V + nb12*(blockIdx.y / gqa_ratio)); // K and V have same shape
-    const half  * maskh = (const half  *)  mask + (nb31/sizeof(half))* ic0;
-    const half2 * mask2 = (const half2 *)  mask + (nb31/sizeof(half))*(ic0/2);
-
-    const int stride_Q  = nb01 / sizeof(float);
-    const int stride_KV = nb11 / sizeof(half);
-
-    half  slopeh = __float2half(1.0f);
-    half2 slope2 = make_half2(1.0f, 1.0f);
-
-    // ALiBi
-    if (max_bias > 0.0f) {
-        const int h = blockIdx.y;
-
-        const float base = h < n_head_log2 ? m0 : m1;
-        const int   exph = h < n_head_log2 ? h + 1 : 2*(h - n_head_log2) + 1;
-
-        slopeh = __float2half(powf(base, exph));
-        slope2 = make_half2(slopeh, slopeh);
-    }
-
-    frag_b Q_b[D/16][ncols/frag_n];
-
-    // A single buffer for temporarily holding tiles of KQ and VKQ parts:
-    constexpr int mem_KQ = ncols*kqs_padded*kqar;
-    constexpr int mem_VKQ_parts = VKQ_ratio*ncols*D_padded;
-    __shared__ half KQ[mem_KQ >= mem_VKQ_parts ? mem_KQ : mem_VKQ_parts];
-    float * KQ_f = (float *) KQ;
-    half2 * KQ2 = (half2 *) KQ;
-
-    float    KQ_rowsum_f[ncols/nwarps] = {0.0f};
-    float       KQ_max_f[ncols/nwarps];
-    float KQ_max_scale_f[ncols/nwarps] = {0.0f};
-
-#pragma unroll
-    for (int j = 0; j < ncols/nwarps; ++j) {
-        KQ_max_f[j] = -FLT_MAX/2.0f;
-    }
-
-    half2    KQ_rowsum_h2[ncols/nwarps] = {{0.0f, 0.0f}};
-    half2       KQ_max_h2[ncols/nwarps];
-    half2 KQ_max_scale_h2[ncols/nwarps] = {{0.0f, 0.0f}};
-
-#pragma unroll
-    for (int j = 0; j < ncols/nwarps; ++j) {
-        KQ_max_h2[j] = make_half2(-HALF_MAX_HALF, -HALF_MAX_HALF);
-    }
-
-    __shared__ half VKQ[ncols*D_padded]; // Accumulator for final VKQ slice.
-    half2 * VKQ2 = (half2 *) VKQ;
-#pragma unroll
-    for (int j0 = 0; j0 < ncols; j0 += nwarps) {
-        const int j = j0 + threadIdx.y;
-#pragma unroll
-        for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
-            const int i = i0 + threadIdx.x;
-            if (i0 + WARP_SIZE > D/2 && i >= D/2) {
-                break;
-            }
-            VKQ2[j*(D_padded/2) + i] = make_half2(0.0f, 0.0f);
-        }
-    }
-
-    // Convert Q to half and apply scale, temporarily store in KQ:
-#pragma unroll
-    for (int j0 = 0; j0 < ncols; j0 += nwarps) {
-        const int j = j0 + threadIdx.y;
-#pragma unroll
-        for (int i0 = 0; i0 < D; i0 += WARP_SIZE) {
-            const int i = i0 + threadIdx.x;
-            if (i0 + WARP_SIZE > D && i >= D) {
-                break;
-            }
-            KQ[j*D_padded + i] = ic0 + j < ne01 ? Q_f[j*stride_Q + i] * scale : 0.0f;
-        }
-    }
-
-    __syncthreads();
-
-    // Load Q into tensor core fragments/registers since it will be used frequently:
-#pragma unroll
-    for (int i0 = 0; i0 < D; i0 += 16) {
-#pragma unroll
-        for (int j0 = 0; j0 < ncols; j0 += frag_n) {
-            nvcuda::wmma::load_matrix_sync(Q_b[i0/16][j0/frag_n], KQ + j0*D_padded + i0, D_padded);
-        }
-    }
-
-    __syncthreads();
-
-    // Iterate over ne11 == previous tokens:
-    for (int k_VKQ_0 = ip*FATTN_KQ_STRIDE; k_VKQ_0 < ne11; k_VKQ_0 += parallel_blocks*FATTN_KQ_STRIDE) {
-        // Calculate tile of KQ:
-#pragma unroll
-        for (int i_KQ_0 = 0; i_KQ_0 < FATTN_KQ_STRIDE; i_KQ_0 += KQ_stride_tc) {
-            frag_c_KQ KQ_c[ncols/frag_n];
-#pragma unroll
-            for (int j = 0; j < ncols/frag_n; ++j) {
-                nvcuda::wmma::fill_fragment(KQ_c[j], 0.0f);
-            }
-#pragma unroll
-            for (int k_KQ_0 = 0; k_KQ_0 < D; k_KQ_0 += 16) {
-                frag_a_K K_a;
-                nvcuda::wmma::load_matrix_sync(K_a, K_h + (k_VKQ_0 + i_KQ_0 + frag_m*threadIdx.y)*stride_KV + k_KQ_0, stride_KV);
-#pragma unroll
-                for (int j = 0; j < ncols/frag_n; ++j) {
-                    nvcuda::wmma::mma_sync(KQ_c[j], K_a, Q_b[k_KQ_0/16][j], KQ_c[j]);
-                }
-            }
-#pragma unroll
-            for (int j0 = 0; j0 < ncols; j0 += frag_n) {
-                nvcuda::wmma::store_matrix_sync((KQ_acc_t *) KQ + j0*kqs_padded + i_KQ_0 + frag_m*threadIdx.y, KQ_c[j0/frag_n], kqs_padded, nvcuda::wmma::mem_col_major);
-            }
-        }
-
-        __syncthreads();
-
-        // Calculate softmax for each KQ column using the current max. value.
-        // The divisor is stored in KQ_rowsum and will be applied at the end.
-#pragma unroll
-        for (int j0 = 0; j0 < ncols; j0 += nwarps) {
-            const int j = j0 + threadIdx.y;
-
-            if (std::is_same<KQ_acc_t, float>::value) {
-                float KQ_f_tmp[FATTN_KQ_STRIDE / WARP_SIZE];
-#pragma unroll
-                for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += WARP_SIZE) {
-                    const int k = k0 + threadIdx.x;
-
-                    KQ_f_tmp[k0/WARP_SIZE] = KQ_f[j*kqs_padded + k];
-                }
-
-                float KQ_max_new = KQ_max_f[j0/nwarps];
-#pragma unroll
-                for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += WARP_SIZE) {
-                    const int k = k0 + threadIdx.x;
-
-                    KQ_f_tmp[k0/WARP_SIZE] += mask ? __half2float(slopeh*maskh[j*(nb31/sizeof(half)) + k_VKQ_0 + k]) : 0.0f;
-                    KQ_max_new = max(KQ_max_new, KQ_f_tmp[k0/WARP_SIZE]);
-                }
-                KQ_max_new = warp_reduce_max(KQ_max_new);
-
-                const float diff = KQ_max_f[j0/nwarps] - KQ_max_new;
-                KQ_max_scale_f[j0/nwarps] = expf(diff);
-                if (diff <= SOFTMAX_FTZ_THRESHOLD) {
-                    KQ_max_scale_f[j0/nwarps] = 0.0f;
-                }
-                KQ_max_f[j0/nwarps] = KQ_max_new;
-
-                float KQ_rowsum_add = 0.0f;
-#pragma unroll
-                for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += WARP_SIZE) {
-                    const int k = k0 + threadIdx.x;
-
-                    const float diff = KQ_f_tmp[k0/WARP_SIZE] - KQ_max_f[j0/nwarps];
-                    KQ_f_tmp[k0/WARP_SIZE] = expf(diff);
-                    if (diff <= SOFTMAX_FTZ_THRESHOLD) {
-                        KQ_f_tmp[k0/WARP_SIZE] = 0.0f;
-                    }
-                    KQ_rowsum_add += KQ_f_tmp[k0/WARP_SIZE];
-                    KQ[j*(kqar*kqs_padded) + k] = KQ_f_tmp[k0/WARP_SIZE];
-                }
-                KQ_rowsum_add = warp_reduce_sum(KQ_rowsum_add);
-
-                // Scale previous KQ_rowsum to account for a potential increase in KQ_max:
-                KQ_rowsum_f[j0/nwarps] = KQ_max_scale_f[j0/nwarps]*KQ_rowsum_f[j0/nwarps] + KQ_rowsum_add;
-            } else {
-                half2 KQ2_tmp[FATTN_KQ_STRIDE/(2*WARP_SIZE)];
-#pragma unroll
-                for (int k0 = 0; k0 < FATTN_KQ_STRIDE/2; k0 += WARP_SIZE) {
-                    const int k = k0 + threadIdx.x;
-
-                    KQ2_tmp[k0/WARP_SIZE] = KQ2[j*(kqs_padded/2) + k];
-                }
-
-                half2 KQ_max_new = KQ_max_h2[j0/nwarps];
-#pragma unroll
-                for (int k0 = 0; k0 < FATTN_KQ_STRIDE/2; k0 += WARP_SIZE) {
-                    const int k = k0 + threadIdx.x;
-
-                    KQ2_tmp[k0/WARP_SIZE] += mask ? slope2*mask2[(j*ne11 + k_VKQ_0)/2 + k] : make_half2(0.0f, 0.0f);
-                    KQ_max_new = ggml_cuda_hmax2(KQ_max_new, KQ2_tmp[k0/WARP_SIZE]);
-                }
-                KQ_max_new = __half2half2(warp_reduce_max(ggml_cuda_hmax(__low2half(KQ_max_new), __high2half(KQ_max_new))));
-                const half2 diff = KQ_max_h2[j0/nwarps] - KQ_max_new;
-                KQ_max_scale_h2[j0/nwarps] = h2exp(diff);
-                const uint32_t ftz_mask = __hgt2_mask(diff, make_half2(SOFTMAX_FTZ_THRESHOLD, SOFTMAX_FTZ_THRESHOLD));
-                *((uint32_t *) &KQ_max_scale_h2[j0/nwarps]) &= ftz_mask;
-                KQ_max_h2[j0/nwarps] = KQ_max_new;
-
-                half2 KQ_rowsum_add = make_half2(0.0f, 0.0f);
-#pragma unroll
-                for (int k0 = 0; k0 < FATTN_KQ_STRIDE/2; k0 += WARP_SIZE) {
-                    const int k = k0 + threadIdx.x;
-
-                    const half2 diff = KQ2_tmp[k0/WARP_SIZE] - KQ_max_h2[j0/nwarps];
-                    KQ2_tmp[k0/WARP_SIZE] = h2exp(diff);
-                    const uint32_t ftz_mask = __hgt2_mask(diff, make_half2(SOFTMAX_FTZ_THRESHOLD, SOFTMAX_FTZ_THRESHOLD));
-                    *((uint32_t *) &KQ2_tmp[k0/WARP_SIZE]) &= ftz_mask;
-                    KQ_rowsum_add += KQ2_tmp[k0/WARP_SIZE];
-                    KQ2[j*(kqs_padded/2) + k] = KQ2_tmp[k0/WARP_SIZE];
-                }
-                KQ_rowsum_add = warp_reduce_sum(KQ_rowsum_add);
-
-                // Scale previous KQ_rowsum to account for a potential increase in KQ_max:
-                KQ_rowsum_h2[j0/nwarps] = KQ_max_scale_h2[j0/nwarps]*KQ_rowsum_h2[j0/nwarps] + KQ_rowsum_add;
-            }
-        }
-
-        __syncthreads();
-
-        frag_b KQ_b[FATTN_KQ_STRIDE/(VKQ_ratio*16)][ncols/frag_n];
-#pragma unroll
-        for (int j0 = 0; j0 < ncols; j0 += frag_n) {
-#pragma unroll
-            for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += VKQ_ratio*16) {
-                const int k = k0 + (threadIdx.y % VKQ_ratio)*16;
-                nvcuda::wmma::load_matrix_sync(
-                    KQ_b[k0/(VKQ_ratio*16)][j0/frag_n],
-                    KQ + j0*(kqar*kqs_padded) + k,
-                    kqar*kqs_padded);
-            }
-        }
-
-        frag_c_VKQ VKQ_c[D/VKQ_stride][ncols/frag_n];
-#pragma unroll
-        for (int i_VKQ_0 = 0; i_VKQ_0 < D; i_VKQ_0 += VKQ_stride) {
-#pragma unroll
-            for (int j = 0; j < ncols/frag_n; ++j) {
-                nvcuda::wmma::fill_fragment(VKQ_c[i_VKQ_0/VKQ_stride][j], 0.0f);
-            }
-
-#pragma unroll
-            for (int k0 = 0; k0 < FATTN_KQ_STRIDE; k0 += VKQ_ratio*16) {
-                const int k = k0 + (threadIdx.y % VKQ_ratio)*16;
-
-                frag_a_V v_a;
-                nvcuda::wmma::load_matrix_sync(v_a, V_h + (k_VKQ_0 + k)*stride_KV + i_VKQ_0 + frag_m*(threadIdx.y/VKQ_ratio), stride_KV);
-#pragma unroll
-                for (int j = 0; j < ncols/frag_n; ++j) {
-                    nvcuda::wmma::mma_sync(VKQ_c[i_VKQ_0/VKQ_stride][j], v_a, KQ_b[k0/(VKQ_ratio*16)][j], VKQ_c[i_VKQ_0/VKQ_stride][j]);
-                }
-            }
-        }
-
-        __syncthreads();
-
-        const int offset_k = (threadIdx.y % VKQ_ratio) * (ncols*D_padded);
-#pragma unroll
-        for (int i_KQ_0 = 0; i_KQ_0 < D; i_KQ_0 += VKQ_stride) {
-#pragma unroll
-            for (int j0 = 0; j0 < ncols; j0 += frag_n) {
-                nvcuda::wmma::store_matrix_sync(
-                    KQ + offset_k + j0*D_padded + i_KQ_0 + frag_m*(threadIdx.y/VKQ_ratio),
-                    VKQ_c[i_KQ_0/VKQ_stride][j0/frag_n],
-                    D_padded, nvcuda::wmma::mem_col_major);
-            }
-        }
-
-        __syncthreads();
-
-#pragma unroll
-        for (int j0 = 0; j0 < ncols; j0 += nwarps) {
-            const int j = j0 + threadIdx.y;
-
-            half2 VKQ_scale;
-            if (std::is_same<KQ_acc_t, float>::value) {
-                VKQ_scale = make_half2(KQ_max_scale_f[j0/nwarps], KQ_max_scale_f[j0/nwarps]);
-            } else {
-                VKQ_scale = KQ_max_scale_h2[j0/nwarps];
-            }
-
-#pragma unroll
-            for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
-                const int i = i0 + threadIdx.x;
-                if (i0 + WARP_SIZE > D/2 && i >= D/2) {
-                    break;
-                }
-
-                half2 VKQ_add = make_half2(0.0f, 0.0f);
-#pragma unroll
-                for (int l = 0; l < VKQ_ratio; ++l) {
-                    VKQ_add += KQ2[l*(ncols*D_padded/2) + j*(D_padded/2) + i];
-                }
-                VKQ2[j*(D_padded/2) + i] = VKQ_scale*VKQ2[j*(D_padded/2) + i] + VKQ_add;
-            }
-        }
-
-        __syncthreads();
-    }
-
-#pragma unroll
-    for (int j0 = 0; j0 < ncols; j0 += nwarps) {
-        const int j_VKQ = j0 + threadIdx.y;
-        if (ic0 + j_VKQ >= ne01) {
-            return;
-        }
-        const int j_dst = (ic0 + j_VKQ)*parallel_blocks + ip;
-
-        float KQ_rowsum_j;
-        if (std::is_same<KQ_acc_t, float>::value) {
-            KQ_rowsum_j = KQ_rowsum_f[j0/nwarps];
-        } else {
-            KQ_rowsum_j = __low2float(KQ_rowsum_h2[j0/nwarps]) + __high2float(KQ_rowsum_h2[j0/nwarps]);
-        }
-
-#pragma unroll
-        for (int i0 = 0; i0 < D; i0 += WARP_SIZE) {
-            const int i = i0 + threadIdx.x;
-            if (i0 + WARP_SIZE > D && i >= D) {
-                break;
-            }
-            float dst_val = VKQ[j_VKQ*D_padded + i];
-            if (parallel_blocks == 1) {
-                dst_val /= KQ_rowsum_j;
-            }
-            dst[j_dst*gridDim.y*D + blockIdx.y*D + i] = dst_val;
-        }
-
-        if (parallel_blocks == 1 || threadIdx.x != 0) {
-            continue;
-        }
-
-        float2 dst_meta_val;
-        if (std::is_same<KQ_acc_t, float>::value) {
-            dst_meta_val.x = KQ_max_f[j0/nwarps];
-        } else {
-            dst_meta_val.x = __low2float(KQ_max_h2[j0/nwarps]);
-        }
-        dst_meta_val.y = KQ_rowsum_j;
-        dst_meta[(ic0 + j_VKQ)*gridDim.y*parallel_blocks + blockIdx.y*parallel_blocks + ip] = dst_meta_val;
-    }
-#else
-   NO_DEVICE_CODE;
-#endif // FP16_MMA_AVAILABLE
-}
-
-constexpr int get_max_power_of_2(int x) {
-    return x % 2 == 0 ? 2*get_max_power_of_2(x/2) : 1;
-}
-
-static_assert(get_max_power_of_2(1) == 1, "Test failed.");
-static_assert(get_max_power_of_2(2) == 2, "Test failed.");
-static_assert(get_max_power_of_2(4) == 4, "Test failed.");
-static_assert(get_max_power_of_2(6) == 2, "Test failed.");
-
-// Number of VKQ rows calculated in parallel:
-constexpr int get_VKQ_stride(int D, int nwarps, int frag_m) {
-    return (get_max_power_of_2(D/frag_m) < nwarps ? get_max_power_of_2(D/frag_m) : nwarps)*frag_m;
-}
-
-static_assert(get_VKQ_stride(128, 1, 32) ==  32, "Test failed.");
-static_assert(get_VKQ_stride(128, 2, 32) ==  64, "Test failed.");
-static_assert(get_VKQ_stride(128, 4, 32) == 128, "Test failed.");
-static_assert(get_VKQ_stride( 64, 1, 32) ==  32, "Test failed.");
-static_assert(get_VKQ_stride( 64, 2, 32) ==  64, "Test failed.");
-static_assert(get_VKQ_stride( 64, 4, 32) ==  64, "Test failed.");
-static_assert(get_VKQ_stride( 80, 1, 16) ==  16, "Test failed.");
-static_assert(get_VKQ_stride( 80, 2, 16) ==  16, "Test failed.");
-static_assert(get_VKQ_stride( 80, 4, 16) ==  16, "Test failed.");
-
-template <int D, int cols_per_block, int nwarps, int parallel_blocks, typename KQ_acc_t> void launch_fattn_f16_impl(
-        const ggml_tensor * Q, const ggml_tensor * K, const ggml_tensor * V, ggml_tensor * KQV, const ggml_tensor * mask,
-        ggml_cuda_pool & pool, cudaStream_t main_stream
-) {
-    ggml_cuda_pool_alloc<float>  dst_tmp(pool);
-    ggml_cuda_pool_alloc<float2> dst_tmp_meta(pool);
-
-    if (parallel_blocks > 1) {
-        dst_tmp.alloc(parallel_blocks*ggml_nelements(KQV));
-        dst_tmp_meta.alloc(parallel_blocks*ggml_nrows(KQV));
-    }
-
-    constexpr int  frag_m = (cols_per_block) == 8 && (D) % 32 == 0 ? 32 : 16;
-    const     dim3 block_dim(WARP_SIZE, nwarps, 1);
-    const     dim3 blocks_num(parallel_blocks*(Q->ne[1] + cols_per_block - 1) / cols_per_block, Q->ne[2], Q->ne[3]);
-    const     int  shmem = 0;
-
-    float scale    = 1.0f;
-    float max_bias = 0.0f;
-
-    memcpy(&scale,    (float *) KQV->op_params + 0, sizeof(float));
-    memcpy(&max_bias, (float *) KQV->op_params + 1, sizeof(float));
-
-    const uint32_t n_head      = Q->ne[2];
-    const uint32_t n_head_log2 = 1u << (uint32_t) floorf(log2f((float) n_head));
-
-    const float m0 = powf(2.0f, -(max_bias       ) / n_head_log2);
-    const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
-
-    flash_attn_ext_f16<D, cols_per_block, nwarps, get_VKQ_stride(D, nwarps, frag_m), parallel_blocks, KQ_acc_t>
-        <<<blocks_num, block_dim, shmem, main_stream>>> (
-                (const char *) Q->data,
-                (const char *) K->data,
-                (const char *) V->data,
-                mask ? ((const char *) mask->data) : nullptr,
-                (parallel_blocks) == 1 ? (float *) KQV->data : dst_tmp.ptr, dst_tmp_meta.ptr,
-                scale, max_bias, m0, m1, n_head_log2,
-                Q->ne[0], Q->ne[1], Q->ne[2], Q->ne[3],
-                K->ne[0], K->ne[1], K->ne[2], K->ne[3],
-                mask ? mask->ne[1] : 0, mask ?  mask->nb[1] : 0,
-                Q->nb[1], Q->nb[2], Q->nb[3],
-                K->nb[1], K->nb[2], K->nb[3],
-                KQV->ne[0], KQV->ne[1], KQV->ne[2], KQV->ne[3]
-                );
-    CUDA_CHECK(cudaGetLastError());
-
-    if ((parallel_blocks) == 1) {
-        return;
-    }
-
-    const dim3 block_dim_combine(D, 1, 1);
-    const dim3 blocks_num_combine(Q->ne[1], blocks_num.y, blocks_num.z);
-    const int  shmem_combine = 0;
-
-    flash_attn_combine_results<D, parallel_blocks>
-        <<<blocks_num_combine, block_dim_combine, shmem_combine, main_stream>>>
-        (dst_tmp.ptr, dst_tmp_meta.ptr, (float *) KQV->data);
-    CUDA_CHECK(cudaGetLastError());
-}
-
-template <int D, int cols_per_block, int nwarps, typename KQ_acc_t> void launch_fattn_f16(
-        const ggml_tensor * Q, const ggml_tensor * K, const ggml_tensor * V, ggml_tensor * KQV, const ggml_tensor * mask,
-        const int nsm, ggml_cuda_pool & pool, cudaStream_t main_stream
-) {
-    const int blocks_num_pb1 = ((Q->ne[1] + cols_per_block - 1) / cols_per_block)*Q->ne[2]*Q->ne[3];
-
-    if (4*blocks_num_pb1 < 2*nsm) {
-        launch_fattn_f16_impl<D, cols_per_block, nwarps, 4, KQ_acc_t>(Q, K, V, KQV, mask, pool, main_stream);
-        return;
-    }
-    if (2*blocks_num_pb1 < 2*nsm) {
-        launch_fattn_f16_impl<D, cols_per_block, nwarps, 2, KQ_acc_t>(Q, K, V, KQV, mask, pool, main_stream);
-        return;
-    }
-    launch_fattn_f16_impl<D, cols_per_block, nwarps, 1, KQ_acc_t>(Q, K, V, KQV, mask, pool, main_stream);
-}
-
-void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
-    const ggml_tensor * Q = dst->src[0];
-    const ggml_tensor * K = dst->src[1];
-    const ggml_tensor * V = dst->src[2];
-
-    const ggml_tensor * mask = dst->src[3];
-
-    ggml_tensor * KQV = dst;
-
-    GGML_ASSERT(Q->type == GGML_TYPE_F32);
-    GGML_ASSERT(K->type == GGML_TYPE_F16);
-    GGML_ASSERT(V->type == GGML_TYPE_F16);
-    GGML_ASSERT(KQV->type == GGML_TYPE_F32);
-
-    GGML_ASSERT(!mask || mask->type == GGML_TYPE_F16);
-    GGML_ASSERT(!mask || mask->ne[1] >= GGML_PAD(Q->ne[1], 16) &&
-                                "the Flash-Attention CUDA kernel requires the mask to be padded to 16 and at least n_queries big");
-
-    GGML_ASSERT(K->ne[1] % FATTN_KQ_STRIDE == 0 && "Incorrect KV cache padding.");
-
-    ggml_cuda_set_device(ctx.device);
-
-    const int cc  = ggml_cuda_info().devices[ggml_cuda_get_device()].cc;
-    const int nsm = ggml_cuda_info().devices[ggml_cuda_get_device()].nsm;
+static void ggml_cuda_flash_attn_ext_wmma_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * KQV = dst;
+    const ggml_tensor * Q   = dst->src[0];
 
     const int32_t precision = KQV->op_params[2];
 
-    if (!fast_fp16_available(cc)) {
-        ggml_cuda_flash_attn_ext_vec_f32(ctx, dst);
-        return;
-    }
-
-    if (!fp16_mma_available(cc)) {
-        ggml_cuda_flash_attn_ext_vec_f16_no_mma(ctx, dst);
-        return;
-    }
-
     if (precision != GGML_PREC_DEFAULT) {
-        if (Q->ne[1] == 1 && (Q->ne[0] == 64 || Q->ne[0] == 128)) {
-            ggml_cuda_flash_attn_ext_vec_f32(ctx, dst);
-            return;
-        }
-
         if (Q->ne[1] <= 32 || Q->ne[0] > 128) {
             constexpr int cols_per_block = 16;
-            constexpr int nwarps         =  4;
             switch (Q->ne[0]) {
                 case 64:
-                    launch_fattn_f16< 64, cols_per_block, nwarps, float>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                    ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, float>(ctx, dst);
                     break;
                 case 80:
-                    launch_fattn_f16< 80, cols_per_block, nwarps, float>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                    ggml_cuda_flash_attn_ext_wmma_f16_case< 80, cols_per_block, float>(ctx, dst);
                     break;
                 case 96:
-                    launch_fattn_f16< 96, cols_per_block, nwarps, float>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                    ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, float>(ctx, dst);
                     break;
                 case 112:
-                    launch_fattn_f16<112, cols_per_block, nwarps, float>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                    ggml_cuda_flash_attn_ext_wmma_f16_case<112, cols_per_block, float>(ctx, dst);
                     break;
                 case 128:
-                    launch_fattn_f16<128, cols_per_block, nwarps, float>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                    ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, float>(ctx, dst);
                     break;
                 case 256:
-                    launch_fattn_f16<256, cols_per_block, nwarps, float>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                    ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, float>(ctx, dst);
                     break;
                 default:
                     GGML_ASSERT(false);
@@ -585,25 +43,24 @@ void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst
             }
         } else {
             constexpr int cols_per_block = 32;
-            constexpr int nwarps         =  4;
             switch (Q->ne[0]) {
                 case 64:
-                    launch_fattn_f16< 64, cols_per_block, nwarps, float>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                    ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, float>(ctx, dst);
                     break;
                 case 80:
-                    launch_fattn_f16< 80, cols_per_block, nwarps, float>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                    ggml_cuda_flash_attn_ext_wmma_f16_case< 80, cols_per_block, float>(ctx, dst);
                     break;
                 case 96:
-                    launch_fattn_f16< 96, cols_per_block, nwarps, float>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                    ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, float>(ctx, dst);
                     break;
                 case 112:
-                    launch_fattn_f16<112, cols_per_block, nwarps, float>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                    ggml_cuda_flash_attn_ext_wmma_f16_case<112, cols_per_block, float>(ctx, dst);
                     break;
                 case 128:
-                    launch_fattn_f16<128, cols_per_block, nwarps, float>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                    ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, float>(ctx, dst);
                     break;
                 // case 256:
-                //     launch_fattn_f16<256, cols_per_block, nwarps, float>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                //     ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, float>(ctx, dst);
                 //     break;
                 default:
                     GGML_ASSERT(false);
@@ -613,26 +70,20 @@ void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst
         return;
     }
 
-    if (Q->ne[1] == 1 && Q->ne[0] % (2*WARP_SIZE) == 0) {
-        ggml_cuda_flash_attn_ext_vec_f16(ctx, dst);
-        return;
-    }
-
     if (Q->ne[1] <= 8 && Q->ne[0] % WARP_SIZE == 0) {
         constexpr int cols_per_block = 8;
-        constexpr int nwarps         = 4;
         switch (Q->ne[0]) {
             case 64:
-                launch_fattn_f16< 64, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, half>(ctx, dst);
                 break;
             case 96:
-                launch_fattn_f16< 96, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, half>(ctx, dst);
                 break;
             case 128:
-                launch_fattn_f16<128, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, half>(ctx, dst);
                 break;
             case 256:
-                launch_fattn_f16<256, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, half>(ctx, dst);
                 break;
             default:
                 GGML_ASSERT(false);
@@ -643,25 +94,24 @@ void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst
 
     if (Q->ne[1] <= 32) {
         constexpr int cols_per_block = 16;
-        constexpr int nwarps         =  4;
         switch (Q->ne[0]) {
             case 64:
-                launch_fattn_f16< 64, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, half>(ctx, dst);
                 break;
             case 80:
-                launch_fattn_f16< 80, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                ggml_cuda_flash_attn_ext_wmma_f16_case< 80, cols_per_block, half>(ctx, dst);
                 break;
             case 96:
-                launch_fattn_f16< 96, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, half>(ctx, dst);
                 break;
             case 112:
-                launch_fattn_f16<112, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                ggml_cuda_flash_attn_ext_wmma_f16_case<112, cols_per_block, half>(ctx, dst);
                 break;
             case 128:
-                launch_fattn_f16<128, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, half>(ctx, dst);
                 break;
             case 256:
-                launch_fattn_f16<256, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+                ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, half>(ctx, dst);
                 break;
             default:
                 GGML_ASSERT(false);
@@ -671,29 +121,225 @@ void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst
     }
 
     constexpr int cols_per_block = 32;
-    constexpr int nwarps         =  4;
     switch (Q->ne[0]) {
         case 64:
-            launch_fattn_f16< 64, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+            ggml_cuda_flash_attn_ext_wmma_f16_case< 64, cols_per_block, half>(ctx, dst);
             break;
         case 80:
-            launch_fattn_f16< 80, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+            ggml_cuda_flash_attn_ext_wmma_f16_case< 80, cols_per_block, half>(ctx, dst);
             break;
         case 96:
-            launch_fattn_f16< 96, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+            ggml_cuda_flash_attn_ext_wmma_f16_case< 96, cols_per_block, half>(ctx, dst);
             break;
         case 112:
-            launch_fattn_f16<112, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+            ggml_cuda_flash_attn_ext_wmma_f16_case<112, cols_per_block, half>(ctx, dst);
             break;
         case 128:
-            launch_fattn_f16<128, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+            ggml_cuda_flash_attn_ext_wmma_f16_case<128, cols_per_block, half>(ctx, dst);
             break;
         case 256:
-            launch_fattn_f16<256, cols_per_block, nwarps, half>(Q, K, V, KQV, mask, nsm, ctx.pool(), ctx.stream());
+            ggml_cuda_flash_attn_ext_wmma_f16_case<256, cols_per_block, half>(ctx, dst);
             break;
         default:
             GGML_ASSERT(false);
             break;
     }
-    return;
+}
+#define FATTN_VEC_F16_CASE(D, type_K, type_V)                               \
+    if (Q->ne[0] == (D) && K->type == (type_K) && V->type == (type_V)) {    \
+        ggml_cuda_flash_attn_ext_vec_f16_case<D, type_K, type_V>(ctx, dst); \
+        return;                                                             \
+    }                                                                       \
+
+static void ggml_cuda_flash_attn_ext_vec_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * Q = dst->src[1];
+    ggml_tensor * K = dst->src[1];
+    ggml_tensor * V = dst->src[2];
+
+#ifdef GGML_CUDA_FA_ALL_QUANTS
+    FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_0)
+    FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_1)
+    FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_0)
+    FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_1)
+    FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q8_0)
+    FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_F16 )
+
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q4_0)
+
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q4_1)
+
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q5_0)
+
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q5_1)
+
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q8_0)
+
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_F16)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_F16)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_F16)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_F16)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_F16)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_F16,  GGML_TYPE_F16)
+
+    FATTN_VEC_F16_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16)
+#else
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0)
+
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0)
+
+    FATTN_VEC_F16_CASE( 64, GGML_TYPE_F16, GGML_TYPE_F16)
+    FATTN_VEC_F16_CASE(128, GGML_TYPE_F16, GGML_TYPE_F16)
+    FATTN_VEC_F16_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16)
+#endif // GGML_CUDA_FA_ALL_QUANTS
+
+    on_no_fattn_vec_case(Q->ne[0]);
+}
+
+#define FATTN_VEC_F32_CASE(D, type_K, type_V)                               \
+    if (Q->ne[0] == (D) && K->type == (type_K) && V->type == (type_V)) {    \
+        ggml_cuda_flash_attn_ext_vec_f32_case<D, type_K, type_V>(ctx, dst); \
+        return;                                                             \
+    }                                                                       \
+
+static void ggml_cuda_flash_attn_ext_vec_f32(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * Q = dst->src[1];
+    ggml_tensor * K = dst->src[1];
+    ggml_tensor * V = dst->src[2];
+
+#ifdef GGML_CUDA_FA_ALL_QUANTS
+    FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_0)
+    FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_1)
+    FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_0)
+    FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_1)
+    FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q8_0)
+    FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_F16)
+
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q4_0)
+
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q4_1)
+
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q5_0)
+
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q5_1)
+
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_F16,  GGML_TYPE_Q8_0)
+
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_F16)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_F16)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_F16)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_F16)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_F16)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_F16,  GGML_TYPE_F16)
+
+    FATTN_VEC_F32_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16)
+#else
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0)
+
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0)
+
+    FATTN_VEC_F32_CASE( 64, GGML_TYPE_F16, GGML_TYPE_F16)
+    FATTN_VEC_F32_CASE(128, GGML_TYPE_F16, GGML_TYPE_F16)
+    FATTN_VEC_F32_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16)
+#endif // GGML_CUDA_FA_ALL_QUANTS
+
+    on_no_fattn_vec_case(Q->ne[0]);
+}
+
+void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * KQV = dst;
+    const ggml_tensor * Q   = dst->src[0];
+
+    ggml_cuda_set_device(ctx.device);
+    const int cc = ggml_cuda_info().devices[ggml_cuda_get_device()].cc;
+    const int32_t precision = KQV->op_params[2];
+
+    // On AMD the tile kernels perform poorly, use the vec kernel instead:
+    if (cc >= CC_OFFSET_AMD) {
+        if (precision == GGML_PREC_DEFAULT && fast_fp16_available(cc)) {
+            ggml_cuda_flash_attn_ext_vec_f16(ctx, dst);
+        } else {
+            ggml_cuda_flash_attn_ext_vec_f32(ctx, dst);
+        }
+        return;
+    }
+
+    if (!fast_fp16_available(cc)) {
+        if (Q->ne[1] <= 8) {
+            ggml_cuda_flash_attn_ext_vec_f32(ctx, dst);
+        } else {
+            ggml_cuda_flash_attn_ext_tile_f32(ctx, dst);
+        }
+        return;
+    }
+
+    if (!fp16_mma_available(cc)) {
+        if (Q->ne[1] <= 8) {
+            ggml_cuda_flash_attn_ext_vec_f16(ctx, dst);
+        } else {
+            ggml_cuda_flash_attn_ext_tile_f16(ctx, dst);
+        }
+        return;
+    }
+
+    if (Q->ne[1] == 1 && Q->ne[0] % (2*WARP_SIZE) == 0) {
+        if (precision == GGML_PREC_DEFAULT) {
+            ggml_cuda_flash_attn_ext_vec_f16(ctx, dst);
+            return;
+        } else if(Q->ne[0] <= 128) {
+            ggml_cuda_flash_attn_ext_vec_f32(ctx, dst);
+            return;
+        }
+    }
+
+    ggml_cuda_flash_attn_ext_wmma_f16(ctx, dst);
 }
diff --git a/ggml-cuda/mmq.cu b/ggml-cuda/mmq.cu
index 7948f1b12..ebe1dc5c8 100644
--- a/ggml-cuda/mmq.cu
+++ b/ggml-cuda/mmq.cu
@@ -9,6 +9,135 @@ typedef float (*vec_dot_q_mul_mat_cuda_t)(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
     const int * __restrict__ y_qs, const half2 * __restrict__ y_ms, const int & i, const int & j, const int & k);
 typedef void (*dot_kernel_k_t)(const void * __restrict__ vx, const int ib, const int iqs, const float * __restrict__ y, float & v);
+typedef void (mul_mat_q_t)(
+    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
+    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst);
+
+struct mmq_arch_config_t {
+    int x;
+    int y;
+    int nwarps;
+};
+
+struct mmq_config_t {
+    mmq_arch_config_t rdna2;
+    mmq_arch_config_t rdna1;
+    mmq_arch_config_t ampere;
+    mmq_arch_config_t pascal;
+};
+
+constexpr mmq_config_t MMQ_CONFIG_Q4_0 = {
+//        x    y  nwarps
+        { 64, 128, 8},
+        { 64,  64, 8},
+#ifdef CUDA_USE_TENSOR_CORES
+        {  4,  32, 4},
+#else
+        { 64, 128, 4},
+#endif // CUDA_USE_TENSOR_CORES
+        { 64,  64, 8},
+};
+constexpr mmq_config_t MMQ_CONFIG_Q4_1 = {
+//        x    y  nwarps
+        { 64, 128, 8},
+        { 64,  64, 8},
+#ifdef CUDA_USE_TENSOR_CORES
+        {  4,  32, 4},
+#else
+        { 64, 128, 4},
+#endif // CUDA_USE_TENSOR_CORES
+        { 64,  64, 8},
+};
+constexpr mmq_config_t MMQ_CONFIG_Q5_0 = {
+//        x    y  nwarps
+        { 64, 128, 8},
+        { 64,  64, 8},
+#ifdef CUDA_USE_TENSOR_CORES
+        {  4,  32, 4},
+#else
+        {128,  64, 4},
+#endif // CUDA_USE_TENSOR_CORES
+        { 64,  64, 8},
+};
+constexpr mmq_config_t MMQ_CONFIG_Q5_1 = {
+//        x    y  nwarps
+        { 64, 128, 8},
+        { 64,  64, 8},
+#ifdef CUDA_USE_TENSOR_CORES
+        {  4,  32, 4},
+#else
+        {128,  64, 4},
+#endif // CUDA_USE_TENSOR_CORES
+        { 64,  64, 8},
+};
+constexpr mmq_config_t MMQ_CONFIG_Q8_0 = {
+//        x    y  nwarps
+        { 64, 128, 8},
+        { 64,  64, 8},
+#ifdef CUDA_USE_TENSOR_CORES
+        {  4,  32, 4},
+#else
+        {128,  64, 4},
+#endif // CUDA_USE_TENSOR_CORES
+        { 64,  64, 8},
+};
+constexpr mmq_config_t MMQ_CONFIG_Q2_K = {
+//        x    y  nwarps
+        { 64, 128, 8},
+        {128,  32, 8},
+#ifdef CUDA_USE_TENSOR_CORES
+        {  4,  32, 4},
+#else
+        { 64, 128, 4},
+#endif // CUDA_USE_TENSOR_CORES
+        { 64,  64, 8},
+};
+constexpr mmq_config_t MMQ_CONFIG_Q3_K = {
+//        x    y  nwarps
+        {128,  64, 8},
+        { 32, 128, 8},
+#ifdef CUDA_USE_TENSOR_CORES
+        {  4,  32, 4},
+#else
+        {128, 128, 4},
+#endif // CUDA_USE_TENSOR_CORES
+        { 64,  64, 8},
+};
+constexpr mmq_config_t MMQ_CONFIG_Q4_K = {
+//        x    y  nwarps
+        { 64, 128, 8},
+        { 32,  64, 8},
+#ifdef CUDA_USE_TENSOR_CORES
+        {  4,  32, 4},
+#else
+        { 64, 128, 4},
+#endif // CUDA_USE_TENSOR_CORES
+        { 64,  64, 8},
+};
+constexpr mmq_config_t MMQ_CONFIG_Q5_K = {
+//        x    y  nwarps
+        { 64, 128, 8},
+        { 32,  64, 8},
+#ifdef CUDA_USE_TENSOR_CORES
+        {  4,  32, 4},
+#else
+        { 64, 128, 4},
+#endif // CUDA_USE_TENSOR_CORES
+        { 64,  64, 8},
+};
+constexpr mmq_config_t MMQ_CONFIG_Q6_K = {
+//        x    y  nwarps
+        { 64, 128, 8},
+        { 32,  64, 8},
+#ifdef CUDA_USE_TENSOR_CORES
+        {  4,  32, 4},
+#else
+        { 64,  64, 4},
+#endif // CUDA_USE_TENSOR_CORES
+        { 64,  64, 8},
+};
+
+// ------------------------------------------------------------
 
 template <int mmq_y> static __device__ __forceinline__ void allocate_tiles_q4_0(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
     GGML_UNUSED(x_qh);
@@ -257,7 +386,7 @@ static __device__ __forceinline__ float vec_dot_q5_0_q8_1_mul_mat(
         u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_0) % WARP_SIZE];
     }
 
-    return vec_dot_q8_0_q8_1_impl<QR5_0*VDR_Q5_0_Q8_1_MMQ>
+    return vec_dot_q8_0_q8_1_impl<float, QR5_0*VDR_Q5_0_Q8_1_MMQ>
         (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dmf[index_bx], y_df[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
 }
 
@@ -418,7 +547,7 @@ static __device__ __forceinline__ float vec_dot_q8_0_q8_1_mul_mat(
     const float * x_dmf = (const float *) x_dm;
     const float * y_df  = (const float *) y_ds;
 
-    return vec_dot_q8_0_q8_1_impl<VDR_Q8_0_Q8_1_MMQ>
+    return vec_dot_q8_0_q8_1_impl<float, VDR_Q8_0_Q8_1_MMQ>
         (&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[j * WARP_SIZE + k], x_dmf[i * (WARP_SIZE/QI8_0) + i/QI8_0 + k/QI8_0],
          y_df[j * (WARP_SIZE/QI8_1) + k/QI8_1]);
 }
@@ -697,11 +826,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
         const block_q4_K * bxi = bx0 + i*blocks_per_row + kbxd;
 
-#if QK_K == 256
         x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = bxi->dm;
-#else
-        x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = {bxi->dm[0], bxi->dm[1]};
-#endif
     }
 
 #pragma unroll
@@ -804,9 +929,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
         const block_q5_K * bxi = bx0 + i*blocks_per_row + kbxd;
 
-#if QK_K == 256
         x_dm[i * (WARP_SIZE/QI5_K) + i / QI5_K + kbxd] = bxi->dm;
-#endif
     }
 
 #pragma unroll
@@ -943,25 +1066,6 @@ static __device__ __forceinline__ float vec_dot_q6_K_q8_1_mul_mat(
     return vec_dot_q6_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, x_dmf[i * (WARP_SIZE/QI6_K) + i/QI6_K], &y_df[index_y/QI8_1]);
 }
 
-#define  MMQ_X_Q4_0_RDNA2  64
-#define  MMQ_Y_Q4_0_RDNA2  128
-#define NWARPS_Q4_0_RDNA2  8
-#define  MMQ_X_Q4_0_RDNA1  64
-#define  MMQ_Y_Q4_0_RDNA1  64
-#define NWARPS_Q4_0_RDNA1  8
-#if defined(CUDA_USE_TENSOR_CORES)
-#define  MMQ_X_Q4_0_AMPERE 4
-#define  MMQ_Y_Q4_0_AMPERE 32
-#define NWARPS_Q4_0_AMPERE 4
-#else
-#define  MMQ_X_Q4_0_AMPERE 64
-#define  MMQ_Y_Q4_0_AMPERE 128
-#define NWARPS_Q4_0_AMPERE 4
-#endif
-#define  MMQ_X_Q4_0_PASCAL 64
-#define  MMQ_Y_Q4_0_PASCAL 64
-#define NWARPS_Q4_0_PASCAL 8
-
 template <int qk, int qr, int qi, bool need_sum, typename block_q_t, int mmq_x, int mmq_y, int nwarps,
               allocate_tiles_cuda_t allocate_tiles, load_tiles_cuda_t load_tiles, int vdr, vec_dot_q_mul_mat_cuda_t vec_dot>
 static __device__ __forceinline__ void mul_mat_q(
@@ -1072,1107 +1176,275 @@ static __device__ __forceinline__ void mul_mat_q(
     }
 }
 
+static constexpr __device__ mmq_arch_config_t get_arch_config_device(mmq_config_t mmq_config) {
+
+#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+
+#if defined(RDNA3) || defined(RDNA2)
+    return mmq_config.rdna2;
+#else
+    return mmq_config.rdna1;
+#endif // defined(RDNA3) || defined(RDNA2)
+
+#else
+
+#if __CUDA_ARCH__ >= CC_VOLTA
+    return mmq_config.ampere;
+#else
+    return mmq_config.pascal;
+#endif // __CUDA_ARCH__ >= CC_VOLTA
+
+#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+}
+
 template <bool need_check> static __global__ void
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 #if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*NWARPS_Q4_0_RDNA2, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q4_0.rdna2.nwarps, 2)
 #endif // defined(RDNA3) || defined(RDNA2)
 #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
     mul_mat_q4_0(
     const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
     const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
 
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    const int mmq_x  =  MMQ_X_Q4_0_RDNA2;
-    const int mmq_y  =  MMQ_Y_Q4_0_RDNA2;
-    const int nwarps = NWARPS_Q4_0_RDNA2;
-#else
-    const int mmq_x  =  MMQ_X_Q4_0_RDNA1;
-    const int mmq_y  =  MMQ_Y_Q4_0_RDNA1;
-    const int nwarps = NWARPS_Q4_0_RDNA1;
-#endif // defined(RDNA3) || defined(RDNA2)
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q4_0);
 
-    mul_mat_q<QK4_0, QR4_0, QI4_0, true, block_q4_0, mmq_x, mmq_y, nwarps, allocate_tiles_q4_0<mmq_y>,
-        load_tiles_q4_0<mmq_y, nwarps, need_check>, VDR_Q4_0_Q8_1_MMQ, vec_dot_q4_0_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= CC_VOLTA
-    const int mmq_x  =  MMQ_X_Q4_0_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q4_0_AMPERE;
-    const int nwarps = NWARPS_Q4_0_AMPERE;
-
-    mul_mat_q<QK4_0, QR4_0, QI4_0, true, block_q4_0, mmq_x, mmq_y, nwarps, allocate_tiles_q4_0<mmq_y>,
-        load_tiles_q4_0<mmq_y, nwarps, need_check>, VDR_Q4_0_Q8_1_MMQ, vec_dot_q4_0_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= MIN_CC_DP4A
-    const int mmq_x  =  MMQ_X_Q4_0_PASCAL;
-    const int mmq_y  =  MMQ_Y_Q4_0_PASCAL;
-    const int nwarps = NWARPS_Q4_0_PASCAL;
-
-    mul_mat_q<QK4_0, QR4_0, QI4_0, true, block_q4_0, mmq_x, mmq_y, nwarps, allocate_tiles_q4_0<mmq_y>,
-        load_tiles_q4_0<mmq_y, nwarps, need_check>, VDR_Q4_0_Q8_1_MMQ, vec_dot_q4_0_q8_1_mul_mat>
+    mul_mat_q<QK4_0, QR4_0, QI4_0, true, block_q4_0, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q4_0<arch_config.y>,
+        load_tiles_q4_0<arch_config.y, arch_config.nwarps, need_check>, VDR_Q4_0_Q8_1_MMQ, vec_dot_q4_0_q8_1_mul_mat>
         (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
 #else
+    GGML_UNUSED(get_arch_config_device);
     GGML_UNUSED(vec_dot_q4_0_q8_1_mul_mat);
     NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
 }
 
-#define  MMQ_X_Q4_1_RDNA2  64
-#define  MMQ_Y_Q4_1_RDNA2  128
-#define NWARPS_Q4_1_RDNA2  8
-#define  MMQ_X_Q4_1_RDNA1  64
-#define  MMQ_Y_Q4_1_RDNA1  64
-#define NWARPS_Q4_1_RDNA1  8
-#if defined(CUDA_USE_TENSOR_CORES)
-#define  MMQ_X_Q4_1_AMPERE 4
-#define  MMQ_Y_Q4_1_AMPERE 32
-#define NWARPS_Q4_1_AMPERE 4
-#else
-#define  MMQ_X_Q4_1_AMPERE 64
-#define  MMQ_Y_Q4_1_AMPERE 128
-#define NWARPS_Q4_1_AMPERE 4
-#endif
-#define  MMQ_X_Q4_1_PASCAL 64
-#define  MMQ_Y_Q4_1_PASCAL 64
-#define NWARPS_Q4_1_PASCAL 8
-
 template <bool need_check> static __global__ void
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 #if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*NWARPS_Q4_1_RDNA2, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q4_1.rdna2.nwarps, 2)
 #endif // defined(RDNA3) || defined(RDNA2)
 #elif __CUDA_ARCH__ < CC_VOLTA
-    __launch_bounds__(WARP_SIZE*NWARPS_Q4_1_PASCAL, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q4_1.pascal.nwarps, 2)
 #endif // __CUDA_ARCH__ < CC_VOLTA
     mul_mat_q4_1(
     const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
     const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
 
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    const int mmq_x  =  MMQ_X_Q4_1_RDNA2;
-    const int mmq_y  =  MMQ_Y_Q4_1_RDNA2;
-    const int nwarps = NWARPS_Q4_1_RDNA2;
-#else
-    const int mmq_x  =  MMQ_X_Q4_1_RDNA1;
-    const int mmq_y  =  MMQ_Y_Q4_1_RDNA1;
-    const int nwarps = NWARPS_Q4_1_RDNA1;
-#endif // defined(RDNA3) || defined(RDNA2)
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q4_1);
 
-    mul_mat_q<QK4_1, QR4_1, QI4_1, true, block_q4_1, mmq_x, mmq_y, nwarps, allocate_tiles_q4_1<mmq_y>,
-        load_tiles_q4_1<mmq_y, nwarps, need_check>, VDR_Q4_1_Q8_1_MMQ, vec_dot_q4_1_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= CC_VOLTA
-    const int mmq_x  =  MMQ_X_Q4_1_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q4_1_AMPERE;
-    const int nwarps = NWARPS_Q4_1_AMPERE;
-
-    mul_mat_q<QK4_1, QR4_1, QI4_1, true, block_q4_1, mmq_x, mmq_y, nwarps, allocate_tiles_q4_1<mmq_y>,
-        load_tiles_q4_1<mmq_y, nwarps, need_check>, VDR_Q4_1_Q8_1_MMQ, vec_dot_q4_1_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= MIN_CC_DP4A
-    const int mmq_x  =  MMQ_X_Q4_1_PASCAL;
-    const int mmq_y  =  MMQ_Y_Q4_1_PASCAL;
-    const int nwarps = NWARPS_Q4_1_PASCAL;
-
-    mul_mat_q<QK4_1, QR4_1, QI4_1, true, block_q4_1, mmq_x, mmq_y, nwarps, allocate_tiles_q4_1<mmq_y>,
-        load_tiles_q4_1<mmq_y, nwarps, need_check>, VDR_Q4_1_Q8_1_MMQ, vec_dot_q4_1_q8_1_mul_mat>
+    mul_mat_q<QK4_1, QR4_1, QI4_1, true, block_q4_1, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q4_1<arch_config.y>,
+        load_tiles_q4_1<arch_config.y, arch_config.nwarps, need_check>, VDR_Q4_1_Q8_1_MMQ, vec_dot_q4_1_q8_1_mul_mat>
         (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
 #else
+    GGML_UNUSED(get_arch_config_device);
     GGML_UNUSED(vec_dot_q4_1_q8_1_mul_mat);
     NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
 }
 
-#define  MMQ_X_Q5_0_RDNA2  64
-#define  MMQ_Y_Q5_0_RDNA2  128
-#define NWARPS_Q5_0_RDNA2  8
-#define  MMQ_X_Q5_0_RDNA1  64
-#define  MMQ_Y_Q5_0_RDNA1  64
-#define NWARPS_Q5_0_RDNA1  8
-#if defined(CUDA_USE_TENSOR_CORES)
-#define  MMQ_X_Q5_0_AMPERE 4
-#define  MMQ_Y_Q5_0_AMPERE 32
-#define NWARPS_Q5_0_AMPERE 4
-#else
-#define  MMQ_X_Q5_0_AMPERE 128
-#define  MMQ_Y_Q5_0_AMPERE 64
-#define NWARPS_Q5_0_AMPERE 4
-#endif
-#define  MMQ_X_Q5_0_PASCAL 64
-#define  MMQ_Y_Q5_0_PASCAL 64
-#define NWARPS_Q5_0_PASCAL 8
-
 template <bool need_check> static __global__ void
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 #if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*NWARPS_Q5_0_RDNA2, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q5_0.rdna2.nwarps, 2)
 #endif // defined(RDNA3) || defined(RDNA2)
 #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
     mul_mat_q5_0(
     const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
     const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
 
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    const int mmq_x  =  MMQ_X_Q5_0_RDNA2;
-    const int mmq_y  =  MMQ_Y_Q5_0_RDNA2;
-    const int nwarps = NWARPS_Q5_0_RDNA2;
-#else
-    const int mmq_x  =  MMQ_X_Q5_0_RDNA1;
-    const int mmq_y  =  MMQ_Y_Q5_0_RDNA1;
-    const int nwarps = NWARPS_Q5_0_RDNA1;
-#endif // defined(RDNA3) || defined(RDNA2)
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q5_0);
 
-    mul_mat_q<QK5_0, QR5_0, QI5_0, false, block_q5_0, mmq_x, mmq_y, nwarps, allocate_tiles_q5_0<mmq_y>,
-        load_tiles_q5_0<mmq_y, nwarps, need_check>, VDR_Q5_0_Q8_1_MMQ, vec_dot_q5_0_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= CC_VOLTA
-    const int mmq_x  =  MMQ_X_Q5_0_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q5_0_AMPERE;
-    const int nwarps = NWARPS_Q5_0_AMPERE;
-
-    mul_mat_q<QK5_0, QR5_0, QI5_0, false, block_q5_0, mmq_x, mmq_y, nwarps, allocate_tiles_q5_0<mmq_y>,
-        load_tiles_q5_0<mmq_y, nwarps, need_check>, VDR_Q5_0_Q8_1_MMQ, vec_dot_q5_0_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= MIN_CC_DP4A
-    const int mmq_x  =  MMQ_X_Q5_0_PASCAL;
-    const int mmq_y  =  MMQ_Y_Q5_0_PASCAL;
-    const int nwarps = NWARPS_Q5_0_PASCAL;
-
-    mul_mat_q<QK5_0, QR5_0, QI5_0, false, block_q5_0, mmq_x, mmq_y, nwarps, allocate_tiles_q5_0<mmq_y>,
-        load_tiles_q5_0<mmq_y, nwarps, need_check>, VDR_Q5_0_Q8_1_MMQ, vec_dot_q5_0_q8_1_mul_mat>
+    mul_mat_q<QK5_0, QR5_0, QI5_0, false, block_q5_0, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q5_0<arch_config.y>,
+        load_tiles_q5_0<arch_config.y, arch_config.nwarps, need_check>, VDR_Q5_0_Q8_1_MMQ, vec_dot_q5_0_q8_1_mul_mat>
         (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
 #else
+    GGML_UNUSED(get_arch_config_device);
     GGML_UNUSED(vec_dot_q5_0_q8_1_mul_mat);
     NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
 }
 
-#define  MMQ_X_Q5_1_RDNA2  64
-#define  MMQ_Y_Q5_1_RDNA2  128
-#define NWARPS_Q5_1_RDNA2  8
-#define  MMQ_X_Q5_1_RDNA1  64
-#define  MMQ_Y_Q5_1_RDNA1  64
-#define NWARPS_Q5_1_RDNA1  8
-#if defined(CUDA_USE_TENSOR_CORES)
-#define  MMQ_X_Q5_1_AMPERE 4
-#define  MMQ_Y_Q5_1_AMPERE 32
-#define NWARPS_Q5_1_AMPERE 4
-#else
-#define  MMQ_X_Q5_1_AMPERE 128
-#define  MMQ_Y_Q5_1_AMPERE 64
-#define NWARPS_Q5_1_AMPERE 4
-#endif
-#define  MMQ_X_Q5_1_PASCAL 64
-#define  MMQ_Y_Q5_1_PASCAL 64
-#define NWARPS_Q5_1_PASCAL 8
-
 template <bool need_check> static __global__ void
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 #if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*NWARPS_Q5_1_RDNA2, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q5_1.rdna2.nwarps, 2)
 #endif // defined(RDNA3) || defined(RDNA2)
 #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 mul_mat_q5_1(
     const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
     const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
 
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    const int mmq_x  =  MMQ_X_Q5_1_RDNA2;
-    const int mmq_y  =  MMQ_Y_Q5_1_RDNA2;
-    const int nwarps = NWARPS_Q5_1_RDNA2;
-#else
-    const int mmq_x  =  MMQ_X_Q5_1_RDNA1;
-    const int mmq_y  =  MMQ_Y_Q5_1_RDNA1;
-    const int nwarps = NWARPS_Q5_1_RDNA1;
-#endif // defined(RDNA3) || defined(RDNA2)
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q5_1);
 
-    mul_mat_q<QK5_1, QR5_1, QI5_1, true, block_q5_1, mmq_x, mmq_y, nwarps, allocate_tiles_q5_1<mmq_y>,
-        load_tiles_q5_1<mmq_y, nwarps, need_check>, VDR_Q5_1_Q8_1_MMQ, vec_dot_q5_1_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= CC_VOLTA
-    const int mmq_x  =  MMQ_X_Q5_1_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q5_1_AMPERE;
-    const int nwarps = NWARPS_Q5_1_AMPERE;
-
-    mul_mat_q<QK5_1, QR5_1, QI5_1, true, block_q5_1, mmq_x, mmq_y, nwarps, allocate_tiles_q5_1<mmq_y>,
-        load_tiles_q5_1<mmq_y, nwarps, need_check>, VDR_Q5_1_Q8_1_MMQ, vec_dot_q5_1_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= MIN_CC_DP4A
-    const int mmq_x  =  MMQ_X_Q5_1_PASCAL;
-    const int mmq_y  =  MMQ_Y_Q5_1_PASCAL;
-    const int nwarps = NWARPS_Q5_1_PASCAL;
-
-    mul_mat_q<QK5_1, QR5_1, QI5_1, true, block_q5_1, mmq_x, mmq_y, nwarps, allocate_tiles_q5_1<mmq_y>,
-        load_tiles_q5_1<mmq_y, nwarps, need_check>, VDR_Q5_1_Q8_1_MMQ, vec_dot_q5_1_q8_1_mul_mat>
+    mul_mat_q<QK5_1, QR5_1, QI5_1, true, block_q5_1, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q5_1<arch_config.y>,
+        load_tiles_q5_1<arch_config.y, arch_config.nwarps, need_check>, VDR_Q5_1_Q8_1_MMQ, vec_dot_q5_1_q8_1_mul_mat>
         (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
 #else
+    GGML_UNUSED(get_arch_config_device);
     GGML_UNUSED(vec_dot_q5_1_q8_1_mul_mat);
     NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
 }
 
-#define  MMQ_X_Q8_0_RDNA2  64
-#define  MMQ_Y_Q8_0_RDNA2  128
-#define NWARPS_Q8_0_RDNA2  8
-#define  MMQ_X_Q8_0_RDNA1  64
-#define  MMQ_Y_Q8_0_RDNA1  64
-#define NWARPS_Q8_0_RDNA1  8
-#if defined(CUDA_USE_TENSOR_CORES)
-#define  MMQ_X_Q8_0_AMPERE 4
-#define  MMQ_Y_Q8_0_AMPERE 32
-#define NWARPS_Q8_0_AMPERE 4
-#else
-#define  MMQ_X_Q8_0_AMPERE 128
-#define  MMQ_Y_Q8_0_AMPERE 64
-#define NWARPS_Q8_0_AMPERE 4
-#endif
-#define  MMQ_X_Q8_0_PASCAL 64
-#define  MMQ_Y_Q8_0_PASCAL 64
-#define NWARPS_Q8_0_PASCAL 8
-
 template <bool need_check> static __global__ void
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 #if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*NWARPS_Q8_0_RDNA2, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q8_0.rdna2.nwarps, 2)
 #endif // defined(RDNA3) || defined(RDNA2)
 #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
     mul_mat_q8_0(
     const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
     const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
 
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    const int mmq_x  =  MMQ_X_Q8_0_RDNA2;
-    const int mmq_y  =  MMQ_Y_Q8_0_RDNA2;
-    const int nwarps = NWARPS_Q8_0_RDNA2;
-#else
-    const int mmq_x  =  MMQ_X_Q8_0_RDNA1;
-    const int mmq_y  =  MMQ_Y_Q8_0_RDNA1;
-    const int nwarps = NWARPS_Q8_0_RDNA1;
-#endif // defined(RDNA3) || defined(RDNA2)
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q8_0);
 
-    mul_mat_q<QK8_0, QR8_0, QI8_0, false, block_q8_0, mmq_x, mmq_y, nwarps, allocate_tiles_q8_0<mmq_y>,
-        load_tiles_q8_0<mmq_y, nwarps, need_check>, VDR_Q8_0_Q8_1_MMQ, vec_dot_q8_0_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= CC_VOLTA
-    const int mmq_x  =  MMQ_X_Q8_0_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q8_0_AMPERE;
-    const int nwarps = NWARPS_Q8_0_AMPERE;
-
-    mul_mat_q<QK8_0, QR8_0, QI8_0, false, block_q8_0, mmq_x, mmq_y, nwarps, allocate_tiles_q8_0<mmq_y>,
-        load_tiles_q8_0<mmq_y, nwarps, need_check>, VDR_Q8_0_Q8_1_MMQ, vec_dot_q8_0_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= MIN_CC_DP4A
-    const int mmq_x  =  MMQ_X_Q8_0_PASCAL;
-    const int mmq_y  =  MMQ_Y_Q8_0_PASCAL;
-    const int nwarps = NWARPS_Q8_0_PASCAL;
-
-    mul_mat_q<QK8_0, QR8_0, QI8_0, false, block_q8_0, mmq_x, mmq_y, nwarps, allocate_tiles_q8_0<mmq_y>,
-        load_tiles_q8_0<mmq_y, nwarps, need_check>, VDR_Q8_0_Q8_1_MMQ, vec_dot_q8_0_q8_1_mul_mat>
+    mul_mat_q<QK8_0, QR8_0, QI8_0, false, block_q8_0, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q8_0<arch_config.y>,
+        load_tiles_q8_0<arch_config.y, arch_config.nwarps, need_check>, VDR_Q8_0_Q8_1_MMQ, vec_dot_q8_0_q8_1_mul_mat>
         (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
 #else
+    GGML_UNUSED(get_arch_config_device);
     GGML_UNUSED(vec_dot_q8_0_q8_1_mul_mat);
     NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
 }
 
-#define  MMQ_X_Q2_K_RDNA2  64
-#define  MMQ_Y_Q2_K_RDNA2  128
-#define NWARPS_Q2_K_RDNA2  8
-#define  MMQ_X_Q2_K_RDNA1  128
-#define  MMQ_Y_Q2_K_RDNA1  32
-#define NWARPS_Q2_K_RDNA1  8
-#if defined(CUDA_USE_TENSOR_CORES)
-#define  MMQ_X_Q2_K_AMPERE 4
-#define  MMQ_Y_Q2_K_AMPERE 32
-#define NWARPS_Q2_K_AMPERE 4
-#else
-#define  MMQ_X_Q2_K_AMPERE 64
-#define  MMQ_Y_Q2_K_AMPERE 128
-#define NWARPS_Q2_K_AMPERE 4
-#endif
-#define  MMQ_X_Q2_K_PASCAL 64
-#define  MMQ_Y_Q2_K_PASCAL 64
-#define NWARPS_Q2_K_PASCAL 8
-
 template <bool need_check> static __global__ void
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 #if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*NWARPS_Q2_K_RDNA2, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q2_K.rdna2.nwarps, 2)
 #endif // defined(RDNA3) || defined(RDNA2)
 #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 mul_mat_q2_K(
     const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
     const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
 
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    const int mmq_x  =  MMQ_X_Q2_K_RDNA2;
-    const int mmq_y  =  MMQ_Y_Q2_K_RDNA2;
-    const int nwarps = NWARPS_Q2_K_RDNA2;
-#else
-    const int mmq_x  =  MMQ_X_Q2_K_RDNA1;
-    const int mmq_y  =  MMQ_Y_Q2_K_RDNA1;
-    const int nwarps = NWARPS_Q2_K_RDNA1;
-#endif // defined(RDNA3) || defined(RDNA2)
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q2_K);
 
-    mul_mat_q<QK_K, QR2_K, QI2_K, false, block_q2_K, mmq_x, mmq_y, nwarps, allocate_tiles_q2_K<mmq_y>,
-        load_tiles_q2_K<mmq_y, nwarps, need_check>, VDR_Q2_K_Q8_1_MMQ, vec_dot_q2_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= CC_VOLTA
-    const int mmq_x  =  MMQ_X_Q2_K_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q2_K_AMPERE;
-    const int nwarps = NWARPS_Q2_K_AMPERE;
-
-    mul_mat_q<QK_K, QR2_K, QI2_K, false, block_q2_K, mmq_x, mmq_y, nwarps, allocate_tiles_q2_K<mmq_y>,
-        load_tiles_q2_K<mmq_y, nwarps, need_check>, VDR_Q2_K_Q8_1_MMQ, vec_dot_q2_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= MIN_CC_DP4A
-    const int mmq_x  =  MMQ_X_Q2_K_PASCAL;
-    const int mmq_y  =  MMQ_Y_Q2_K_PASCAL;
-    const int nwarps = NWARPS_Q2_K_PASCAL;
-
-    mul_mat_q<QK_K, QR2_K, QI2_K, false, block_q2_K, mmq_x, mmq_y, nwarps, allocate_tiles_q2_K<mmq_y>,
-        load_tiles_q2_K<mmq_y, nwarps, need_check>, VDR_Q2_K_Q8_1_MMQ, vec_dot_q2_K_q8_1_mul_mat>
+    mul_mat_q<QK_K, QR2_K, QI2_K, false, block_q2_K, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q2_K<arch_config.y>,
+        load_tiles_q2_K<arch_config.y, arch_config.nwarps, need_check>, VDR_Q2_K_Q8_1_MMQ, vec_dot_q2_K_q8_1_mul_mat>
         (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
 #else
+    GGML_UNUSED(get_arch_config_device);
     GGML_UNUSED(vec_dot_q2_K_q8_1_mul_mat);
     NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
 }
 
-#define  MMQ_X_Q3_K_RDNA2  128
-#define  MMQ_Y_Q3_K_RDNA2  64
-#define NWARPS_Q3_K_RDNA2  8
-#define  MMQ_X_Q3_K_RDNA1  32
-#define  MMQ_Y_Q3_K_RDNA1  128
-#define NWARPS_Q3_K_RDNA1  8
-#if defined(CUDA_USE_TENSOR_CORES)
-#define  MMQ_X_Q3_K_AMPERE 4
-#define  MMQ_Y_Q3_K_AMPERE 32
-#define NWARPS_Q3_K_AMPERE 4
-#else
-#define  MMQ_X_Q3_K_AMPERE 128
-#define  MMQ_Y_Q3_K_AMPERE 128
-#define NWARPS_Q3_K_AMPERE 4
-#endif
-#define  MMQ_X_Q3_K_PASCAL 64
-#define  MMQ_Y_Q3_K_PASCAL 64
-#define NWARPS_Q3_K_PASCAL 8
-
 template <bool need_check> static __global__ void
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 #if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*NWARPS_Q3_K_RDNA2, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q3_K.rdna2.nwarps, 2)
 #endif // defined(RDNA3) || defined(RDNA2)
 #elif __CUDA_ARCH__ < CC_VOLTA
-    __launch_bounds__(WARP_SIZE*NWARPS_Q3_K_PASCAL, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q3_K.pascal.nwarps, 2)
 #endif // __CUDA_ARCH__ < CC_VOLTA
     mul_mat_q3_K(
     const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
     const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
 
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    const int mmq_x  =  MMQ_X_Q3_K_RDNA2;
-    const int mmq_y  =  MMQ_Y_Q3_K_RDNA2;
-    const int nwarps = NWARPS_Q3_K_RDNA2;
-#else
-    const int mmq_x  =  MMQ_X_Q3_K_RDNA1;
-    const int mmq_y  =  MMQ_Y_Q3_K_RDNA1;
-    const int nwarps = NWARPS_Q3_K_RDNA1;
-#endif // defined(RDNA3) || defined(RDNA2)
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q3_K);
 
-    mul_mat_q<QK_K, QR3_K, QI3_K, false, block_q3_K, mmq_x, mmq_y, nwarps, allocate_tiles_q3_K<mmq_y>,
-        load_tiles_q3_K<mmq_y, nwarps, need_check>, VDR_Q3_K_Q8_1_MMQ, vec_dot_q3_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= CC_VOLTA
-    const int mmq_x  =  MMQ_X_Q3_K_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q3_K_AMPERE;
-    const int nwarps = NWARPS_Q3_K_AMPERE;
-
-    mul_mat_q<QK_K, QR3_K, QI3_K, false, block_q3_K, mmq_x, mmq_y, nwarps, allocate_tiles_q3_K<mmq_y>,
-        load_tiles_q3_K<mmq_y, nwarps, need_check>, VDR_Q3_K_Q8_1_MMQ, vec_dot_q3_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= MIN_CC_DP4A
-    const int mmq_x  =  MMQ_X_Q3_K_PASCAL;
-    const int mmq_y  =  MMQ_Y_Q3_K_PASCAL;
-    const int nwarps = NWARPS_Q3_K_PASCAL;
-
-    mul_mat_q<QK_K, QR3_K, QI3_K, false, block_q3_K, mmq_x, mmq_y, nwarps, allocate_tiles_q3_K<mmq_y>,
-        load_tiles_q3_K<mmq_y, nwarps, need_check>, VDR_Q3_K_Q8_1_MMQ, vec_dot_q3_K_q8_1_mul_mat>
+    mul_mat_q<QK_K, QR3_K, QI3_K, false, block_q3_K, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q3_K<arch_config.y>,
+        load_tiles_q3_K<arch_config.y, arch_config.nwarps, need_check>, VDR_Q3_K_Q8_1_MMQ, vec_dot_q3_K_q8_1_mul_mat>
         (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
 #else
+    GGML_UNUSED(get_arch_config_device);
     GGML_UNUSED(vec_dot_q3_K_q8_1_mul_mat);
     NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
 }
 
-#define  MMQ_X_Q4_K_RDNA2  64
-#define  MMQ_Y_Q4_K_RDNA2  128
-#define NWARPS_Q4_K_RDNA2  8
-#define  MMQ_X_Q4_K_RDNA1  32
-#define  MMQ_Y_Q4_K_RDNA1  64
-#define NWARPS_Q4_K_RDNA1  8
-#if defined(CUDA_USE_TENSOR_CORES)
-#define  MMQ_X_Q4_K_AMPERE 4
-#define  MMQ_Y_Q4_K_AMPERE 32
-#define NWARPS_Q4_K_AMPERE 4
-#else
-#define  MMQ_X_Q4_K_AMPERE 64
-#define  MMQ_Y_Q4_K_AMPERE 128
-#define NWARPS_Q4_K_AMPERE 4
-#endif
-#define  MMQ_X_Q4_K_PASCAL 64
-#define  MMQ_Y_Q4_K_PASCAL 64
-#define NWARPS_Q4_K_PASCAL 8
-
 template <bool need_check> static __global__ void
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 #if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*NWARPS_Q4_K_RDNA2, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q4_K.rdna2.nwarps, 2)
 #endif // defined(RDNA3) || defined(RDNA2)
 #elif __CUDA_ARCH__ < CC_VOLTA
-    __launch_bounds__(WARP_SIZE*NWARPS_Q4_K_PASCAL, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q4_K.pascal.nwarps, 2)
 #endif // __CUDA_ARCH__ < CC_VOLTA
     mul_mat_q4_K(
     const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
     const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
 
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    const int mmq_x  =  MMQ_X_Q4_K_RDNA2;
-    const int mmq_y  =  MMQ_Y_Q4_K_RDNA2;
-    const int nwarps = NWARPS_Q4_K_RDNA2;
-#else
-    const int mmq_x  =  MMQ_X_Q4_K_RDNA1;
-    const int mmq_y  =  MMQ_Y_Q4_K_RDNA1;
-    const int nwarps = NWARPS_Q4_K_RDNA1;
-#endif // defined(RDNA3) || defined(RDNA2)
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q4_K);
 
-    mul_mat_q<QK_K, QR4_K, QI4_K, true, block_q4_K, mmq_x, mmq_y, nwarps, allocate_tiles_q4_K<mmq_y>,
-        load_tiles_q4_K<mmq_y, nwarps, need_check>, VDR_Q4_K_Q8_1_MMQ, vec_dot_q4_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= CC_VOLTA
-    const int mmq_x  =  MMQ_X_Q4_K_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q4_K_AMPERE;
-    const int nwarps = NWARPS_Q4_K_AMPERE;
-
-    mul_mat_q<QK_K, QR4_K, QI4_K, true, block_q4_K, mmq_x, mmq_y, nwarps, allocate_tiles_q4_K<mmq_y>,
-        load_tiles_q4_K<mmq_y, nwarps, need_check>, VDR_Q4_K_Q8_1_MMQ, vec_dot_q4_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= MIN_CC_DP4A
-    const int mmq_x  =  MMQ_X_Q4_K_PASCAL;
-    const int mmq_y  =  MMQ_Y_Q4_K_PASCAL;
-    const int nwarps = NWARPS_Q4_K_PASCAL;
-
-    mul_mat_q<QK_K, QR4_K, QI4_K, true, block_q4_K, mmq_x, mmq_y, nwarps, allocate_tiles_q4_K<mmq_y>,
-        load_tiles_q4_K<mmq_y, nwarps, need_check>, VDR_Q4_K_Q8_1_MMQ, vec_dot_q4_K_q8_1_mul_mat>
+    mul_mat_q<QK_K, QR4_K, QI4_K, true, block_q4_K, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q4_K<arch_config.y>,
+        load_tiles_q4_K<arch_config.y, arch_config.nwarps, need_check>, VDR_Q4_K_Q8_1_MMQ, vec_dot_q4_K_q8_1_mul_mat>
         (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
 #else
+    GGML_UNUSED(get_arch_config_device);
     GGML_UNUSED(vec_dot_q4_K_q8_1_mul_mat);
     NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
 }
 
-#define  MMQ_X_Q5_K_RDNA2  64
-#define  MMQ_Y_Q5_K_RDNA2  128
-#define NWARPS_Q5_K_RDNA2  8
-#define  MMQ_X_Q5_K_RDNA1  32
-#define  MMQ_Y_Q5_K_RDNA1  64
-#define NWARPS_Q5_K_RDNA1  8
-#if defined(CUDA_USE_TENSOR_CORES)
-#define  MMQ_X_Q5_K_AMPERE 4
-#define  MMQ_Y_Q5_K_AMPERE 32
-#define NWARPS_Q5_K_AMPERE 4
-#else
-#define  MMQ_X_Q5_K_AMPERE 64
-#define  MMQ_Y_Q5_K_AMPERE 128
-#define NWARPS_Q5_K_AMPERE 4
-#endif
-#define  MMQ_X_Q5_K_PASCAL 64
-#define  MMQ_Y_Q5_K_PASCAL 64
-#define NWARPS_Q5_K_PASCAL 8
-
 template <bool need_check> static __global__ void
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 #if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*NWARPS_Q5_K_RDNA2, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q5_K.rdna2.nwarps, 2)
 #endif // defined(RDNA3) || defined(RDNA2)
 #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 mul_mat_q5_K(
     const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
     const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
 
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    const int mmq_x  =  MMQ_X_Q5_K_RDNA2;
-    const int mmq_y  =  MMQ_Y_Q5_K_RDNA2;
-    const int nwarps = NWARPS_Q5_K_RDNA2;
-#else
-    const int mmq_x  =  MMQ_X_Q5_K_RDNA1;
-    const int mmq_y  =  MMQ_Y_Q5_K_RDNA1;
-    const int nwarps = NWARPS_Q5_K_RDNA1;
-#endif // defined(RDNA3) || defined(RDNA2)
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q5_K);
 
-    mul_mat_q<QK_K, QR5_K, QI5_K, true, block_q5_K, mmq_x, mmq_y, nwarps, allocate_tiles_q5_K<mmq_y>,
-        load_tiles_q5_K<mmq_y, nwarps, need_check>, VDR_Q5_K_Q8_1_MMQ, vec_dot_q5_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= CC_VOLTA
-    const int mmq_x  =  MMQ_X_Q5_K_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q5_K_AMPERE;
-    const int nwarps = NWARPS_Q5_K_AMPERE;
-
-    mul_mat_q<QK_K, QR5_K, QI5_K, true, block_q5_K, mmq_x, mmq_y, nwarps, allocate_tiles_q5_K<mmq_y>,
-        load_tiles_q5_K<mmq_y, nwarps, need_check>, VDR_Q5_K_Q8_1_MMQ, vec_dot_q5_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= MIN_CC_DP4A
-    const int mmq_x  =  MMQ_X_Q5_K_PASCAL;
-    const int mmq_y  =  MMQ_Y_Q5_K_PASCAL;
-    const int nwarps = NWARPS_Q5_K_PASCAL;
-
-    mul_mat_q<QK_K, QR5_K, QI5_K, true, block_q5_K, mmq_x, mmq_y, nwarps, allocate_tiles_q5_K<mmq_y>,
-        load_tiles_q5_K<mmq_y, nwarps, need_check>, VDR_Q5_K_Q8_1_MMQ, vec_dot_q5_K_q8_1_mul_mat>
+    mul_mat_q<QK_K, QR5_K, QI5_K, true, block_q5_K, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q5_K<arch_config.y>,
+        load_tiles_q5_K<arch_config.y, arch_config.nwarps, need_check>, VDR_Q5_K_Q8_1_MMQ, vec_dot_q5_K_q8_1_mul_mat>
         (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
 #else
+    GGML_UNUSED(get_arch_config_device);
     GGML_UNUSED(vec_dot_q5_K_q8_1_mul_mat);
     NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
 }
 
-#define  MMQ_X_Q6_K_RDNA2  64
-#define  MMQ_Y_Q6_K_RDNA2  128
-#define NWARPS_Q6_K_RDNA2  8
-#define  MMQ_X_Q6_K_RDNA1  32
-#define  MMQ_Y_Q6_K_RDNA1  64
-#define NWARPS_Q6_K_RDNA1  8
-#if defined(CUDA_USE_TENSOR_CORES)
-#define  MMQ_X_Q6_K_AMPERE 4
-#define  MMQ_Y_Q6_K_AMPERE 32
-#define NWARPS_Q6_K_AMPERE 4
-#else
-#define  MMQ_X_Q6_K_AMPERE 64
-#define  MMQ_Y_Q6_K_AMPERE 64
-#define NWARPS_Q6_K_AMPERE 4
-#endif
-#define  MMQ_X_Q6_K_PASCAL 64
-#define  MMQ_Y_Q6_K_PASCAL 64
-#define NWARPS_Q6_K_PASCAL 8
-
 template <bool need_check> static __global__ void
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 #if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*NWARPS_Q6_K_RDNA2, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q6_K.rdna2.nwarps, 2)
 #endif // defined(RDNA3) || defined(RDNA2)
 #elif __CUDA_ARCH__ < CC_VOLTA
-    __launch_bounds__(WARP_SIZE*NWARPS_Q6_K_PASCAL, 2)
+    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q4_K.pascal.nwarps, 2)
 #endif // __CUDA_ARCH__ < CC_VOLTA
     mul_mat_q6_K(
     const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
     const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
 
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    const int mmq_x  =  MMQ_X_Q6_K_RDNA2;
-    const int mmq_y  =  MMQ_Y_Q6_K_RDNA2;
-    const int nwarps = NWARPS_Q6_K_RDNA2;
-#else
-    const int mmq_x  =  MMQ_X_Q6_K_RDNA1;
-    const int mmq_y  =  MMQ_Y_Q6_K_RDNA1;
-    const int nwarps = NWARPS_Q6_K_RDNA1;
-#endif // defined(RDNA3) || defined(RDNA2)
+#if __CUDA_ARCH__ >= MIN_CC_DP4A
+    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q6_K);
 
-    mul_mat_q<QK_K, QR6_K, QI6_K, false, block_q6_K, mmq_x, mmq_y, nwarps, allocate_tiles_q6_K<mmq_y>,
-        load_tiles_q6_K<mmq_y, nwarps, need_check>, VDR_Q6_K_Q8_1_MMQ, vec_dot_q6_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= CC_VOLTA
-    const int mmq_x  =  MMQ_X_Q6_K_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q6_K_AMPERE;
-    const int nwarps = NWARPS_Q6_K_AMPERE;
-
-    mul_mat_q<QK_K, QR6_K, QI6_K, false, block_q6_K, mmq_x, mmq_y, nwarps, allocate_tiles_q6_K<mmq_y>,
-        load_tiles_q6_K<mmq_y, nwarps, need_check>, VDR_Q6_K_Q8_1_MMQ, vec_dot_q6_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-
-#elif __CUDA_ARCH__ >= MIN_CC_DP4A
-    const int mmq_x  =  MMQ_X_Q6_K_PASCAL;
-    const int mmq_y  =  MMQ_Y_Q6_K_PASCAL;
-    const int nwarps = NWARPS_Q6_K_PASCAL;
-
-    mul_mat_q<QK_K, QR6_K, QI6_K, false, block_q6_K, mmq_x, mmq_y, nwarps, allocate_tiles_q6_K<mmq_y>,
-        load_tiles_q6_K<mmq_y, nwarps, need_check>, VDR_Q6_K_Q8_1_MMQ, vec_dot_q6_K_q8_1_mul_mat>
+    mul_mat_q<QK_K, QR6_K, QI6_K, false, block_q6_K, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q6_K<arch_config.y>,
+        load_tiles_q6_K<arch_config.y, arch_config.nwarps, need_check>, VDR_Q6_K_Q8_1_MMQ, vec_dot_q6_K_q8_1_mul_mat>
         (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
 #else
+    GGML_UNUSED(get_arch_config_device);
     GGML_UNUSED(vec_dot_q6_K_q8_1_mul_mat);
     NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
 }
 
-static void ggml_mul_mat_q4_0_q8_1_cuda(
-    const void * vx, const void * vy, float * dst, const int ncols_x, const int nrows_x,
-    const int ncols_y, const int nrows_y, const int nrows_dst, cudaStream_t stream) {
-
-    int id = ggml_cuda_get_device();
-    const int compute_capability = ggml_cuda_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= CC_RDNA2) {
-        mmq_x  =  MMQ_X_Q4_0_RDNA2;
-        mmq_y  =  MMQ_Y_Q4_0_RDNA2;
-        nwarps = NWARPS_Q4_0_RDNA2;
-    } else if (compute_capability >= CC_OFFSET_AMD) {
-        mmq_x  =  MMQ_X_Q4_0_RDNA1;
-        mmq_y  =  MMQ_Y_Q4_0_RDNA1;
-        nwarps = NWARPS_Q4_0_RDNA1;
-    } else if (compute_capability >= CC_VOLTA) {
-        mmq_x  =  MMQ_X_Q4_0_AMPERE;
-        mmq_y  =  MMQ_Y_Q4_0_AMPERE;
-        nwarps = NWARPS_Q4_0_AMPERE;
-    } else if (compute_capability >= MIN_CC_DP4A) {
-        mmq_x  =  MMQ_X_Q4_0_PASCAL;
-        mmq_y  =  MMQ_Y_Q4_0_PASCAL;
-        nwarps = NWARPS_Q4_0_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const dim3 block_nums(block_num_x, block_num_y, 1);
-    const dim3 block_dims(WARP_SIZE, nwarps, 1);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        mul_mat_q4_0<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    } else {
-        const bool need_check = true;
-        mul_mat_q4_0<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    }
-}
-
-static void ggml_mul_mat_q4_1_q8_1_cuda(
-    const void * vx, const void * vy, float * dst, const int ncols_x, const int nrows_x,
-    const int ncols_y, const int nrows_y, const int nrows_dst, cudaStream_t stream) {
-
-    int id = ggml_cuda_get_device();
-    const int compute_capability = ggml_cuda_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= CC_RDNA2) {
-        mmq_x  =  MMQ_X_Q4_1_RDNA2;
-        mmq_y  =  MMQ_Y_Q4_1_RDNA2;
-        nwarps = NWARPS_Q4_1_RDNA2;
-    } else if (compute_capability >= CC_OFFSET_AMD) {
-        mmq_x  =  MMQ_X_Q4_1_RDNA1;
-        mmq_y  =  MMQ_Y_Q4_1_RDNA1;
-        nwarps = NWARPS_Q4_1_RDNA1;
-    } else if (compute_capability >= CC_VOLTA) {
-        mmq_x  =  MMQ_X_Q4_1_AMPERE;
-        mmq_y  =  MMQ_Y_Q4_1_AMPERE;
-        nwarps = NWARPS_Q4_1_AMPERE;
-    } else if (compute_capability >= MIN_CC_DP4A) {
-        mmq_x  =  MMQ_X_Q4_1_PASCAL;
-        mmq_y  =  MMQ_Y_Q4_1_PASCAL;
-        nwarps = NWARPS_Q4_1_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const dim3 block_nums(block_num_x, block_num_y, 1);
-    const dim3 block_dims(WARP_SIZE, nwarps, 1);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        mul_mat_q4_1<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    } else {
-        const bool need_check = true;
-        mul_mat_q4_1<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    }
-}
-
-static void ggml_mul_mat_q5_0_q8_1_cuda(
-    const void * vx, const void * vy, float * dst, const int ncols_x, const int nrows_x,
-    const int ncols_y, const int nrows_y, const int nrows_dst, cudaStream_t stream) {
-
-    int id = ggml_cuda_get_device();
-    const int compute_capability = ggml_cuda_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= CC_RDNA2) {
-        mmq_x  =  MMQ_X_Q5_0_RDNA2;
-        mmq_y  =  MMQ_Y_Q5_0_RDNA2;
-        nwarps = NWARPS_Q5_0_RDNA2;
-    } else if (compute_capability >= CC_OFFSET_AMD) {
-        mmq_x  =  MMQ_X_Q5_0_RDNA1;
-        mmq_y  =  MMQ_Y_Q5_0_RDNA1;
-        nwarps = NWARPS_Q5_0_RDNA1;
-    } else if (compute_capability >= CC_VOLTA) {
-        mmq_x  =  MMQ_X_Q5_0_AMPERE;
-        mmq_y  =  MMQ_Y_Q5_0_AMPERE;
-        nwarps = NWARPS_Q5_0_AMPERE;
-    } else if (compute_capability >= MIN_CC_DP4A) {
-        mmq_x  =  MMQ_X_Q5_0_PASCAL;
-        mmq_y  =  MMQ_Y_Q5_0_PASCAL;
-        nwarps = NWARPS_Q5_0_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const dim3 block_nums(block_num_x, block_num_y, 1);
-    const dim3 block_dims(WARP_SIZE, nwarps, 1);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        mul_mat_q5_0<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    } else {
-        const bool need_check = true;
-        mul_mat_q5_0<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    }
-}
-
-static void ggml_mul_mat_q5_1_q8_1_cuda(
-    const void * vx, const void * vy, float * dst, const int ncols_x, const int nrows_x,
-    const int ncols_y, const int nrows_y, const int nrows_dst, cudaStream_t stream) {
-
-    int id = ggml_cuda_get_device();
-    const int compute_capability = ggml_cuda_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= CC_RDNA2) {
-        mmq_x  =  MMQ_X_Q5_1_RDNA2;
-        mmq_y  =  MMQ_Y_Q5_1_RDNA2;
-        nwarps = NWARPS_Q5_1_RDNA2;
-    } else if (compute_capability >= CC_OFFSET_AMD) {
-        mmq_x  =  MMQ_X_Q5_1_RDNA1;
-        mmq_y  =  MMQ_Y_Q5_1_RDNA1;
-        nwarps = NWARPS_Q5_1_RDNA1;
-    } else if (compute_capability >= CC_VOLTA) {
-        mmq_x  =  MMQ_X_Q5_1_AMPERE;
-        mmq_y  =  MMQ_Y_Q5_1_AMPERE;
-        nwarps = NWARPS_Q5_1_AMPERE;
-    } else if (compute_capability >= MIN_CC_DP4A) {
-        mmq_x  =  MMQ_X_Q5_1_PASCAL;
-        mmq_y  =  MMQ_Y_Q5_1_PASCAL;
-        nwarps = NWARPS_Q5_1_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const dim3 block_nums(block_num_x, block_num_y, 1);
-    const dim3 block_dims(WARP_SIZE, nwarps, 1);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        mul_mat_q5_1<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    } else {
-        const bool need_check = true;
-        mul_mat_q5_1<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    }
-}
-
-static void ggml_mul_mat_q8_0_q8_1_cuda(
-    const void * vx, const void * vy, float * dst, const int ncols_x, const int nrows_x,
-    const int ncols_y, const int nrows_y, const int nrows_dst, cudaStream_t stream) {
-
-    int id = ggml_cuda_get_device();
-    const int compute_capability = ggml_cuda_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= CC_RDNA2) {
-        mmq_x  =  MMQ_X_Q8_0_RDNA2;
-        mmq_y  =  MMQ_Y_Q8_0_RDNA2;
-        nwarps = NWARPS_Q8_0_RDNA2;
-    } else if (compute_capability >= CC_OFFSET_AMD) {
-        mmq_x  =  MMQ_X_Q8_0_RDNA1;
-        mmq_y  =  MMQ_Y_Q8_0_RDNA1;
-        nwarps = NWARPS_Q8_0_RDNA1;
-    } else if (compute_capability >= CC_VOLTA) {
-        mmq_x  =  MMQ_X_Q8_0_AMPERE;
-        mmq_y  =  MMQ_Y_Q8_0_AMPERE;
-        nwarps = NWARPS_Q8_0_AMPERE;
-    } else if (compute_capability >= MIN_CC_DP4A) {
-        mmq_x  =  MMQ_X_Q8_0_PASCAL;
-        mmq_y  =  MMQ_Y_Q8_0_PASCAL;
-        nwarps = NWARPS_Q8_0_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const dim3 block_nums(block_num_x, block_num_y, 1);
-    const dim3 block_dims(WARP_SIZE, nwarps, 1);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        mul_mat_q8_0<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    } else {
-        const bool need_check = true;
-        mul_mat_q8_0<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    }
-}
-
-static void ggml_mul_mat_q2_K_q8_1_cuda(
-    const void * vx, const void * vy, float * dst, const int ncols_x, const int nrows_x,
-    const int ncols_y, const int nrows_y, const int nrows_dst, cudaStream_t stream) {
-
-    int id = ggml_cuda_get_device();
-    const int compute_capability = ggml_cuda_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= CC_RDNA2) {
-        mmq_x  =  MMQ_X_Q2_K_RDNA2;
-        mmq_y  =  MMQ_Y_Q2_K_RDNA2;
-        nwarps = NWARPS_Q2_K_RDNA2;
-    } else if (compute_capability >= CC_OFFSET_AMD) {
-        mmq_x  =  MMQ_X_Q2_K_RDNA1;
-        mmq_y  =  MMQ_Y_Q2_K_RDNA1;
-        nwarps = NWARPS_Q2_K_RDNA1;
-    } else if (compute_capability >= CC_VOLTA) {
-        mmq_x  =  MMQ_X_Q2_K_AMPERE;
-        mmq_y  =  MMQ_Y_Q2_K_AMPERE;
-        nwarps = NWARPS_Q2_K_AMPERE;
-    } else if (compute_capability >= MIN_CC_DP4A) {
-        mmq_x  =  MMQ_X_Q2_K_PASCAL;
-        mmq_y  =  MMQ_Y_Q2_K_PASCAL;
-        nwarps = NWARPS_Q2_K_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const dim3 block_nums(block_num_x, block_num_y, 1);
-    const dim3 block_dims(WARP_SIZE, nwarps, 1);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        mul_mat_q2_K<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    } else {
-        const bool need_check = true;
-        mul_mat_q2_K<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    }
-}
-
-static void ggml_mul_mat_q3_K_q8_1_cuda(
-    const void * vx, const void * vy, float * dst, const int ncols_x, const int nrows_x,
-    const int ncols_y, const int nrows_y, const int nrows_dst, cudaStream_t stream) {
-
-#if QK_K == 256
-
-    int id = ggml_cuda_get_device();
-    const int compute_capability = ggml_cuda_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= CC_RDNA2) {
-        mmq_x  =  MMQ_X_Q3_K_RDNA2;
-        mmq_y  =  MMQ_Y_Q3_K_RDNA2;
-        nwarps = NWARPS_Q3_K_RDNA2;
-    } else if (compute_capability >= CC_OFFSET_AMD) {
-        mmq_x  =  MMQ_X_Q3_K_RDNA1;
-        mmq_y  =  MMQ_Y_Q3_K_RDNA1;
-        nwarps = NWARPS_Q3_K_RDNA1;
-    } else if (compute_capability >= CC_VOLTA) {
-        mmq_x  =  MMQ_X_Q3_K_AMPERE;
-        mmq_y  =  MMQ_Y_Q3_K_AMPERE;
-        nwarps = NWARPS_Q3_K_AMPERE;
-    } else if (compute_capability >= MIN_CC_DP4A) {
-        mmq_x  =  MMQ_X_Q3_K_PASCAL;
-        mmq_y  =  MMQ_Y_Q3_K_PASCAL;
-        nwarps = NWARPS_Q3_K_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const dim3 block_nums(block_num_x, block_num_y, 1);
-    const dim3 block_dims(WARP_SIZE, nwarps, 1);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        mul_mat_q3_K<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    } else {
-        const bool need_check = true;
-        mul_mat_q3_K<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    }
-#endif
-}
-
-static void ggml_mul_mat_q4_K_q8_1_cuda(
-    const void * vx, const void * vy, float * dst, const int ncols_x, const int nrows_x,
-    const int ncols_y, const int nrows_y, const int nrows_dst, cudaStream_t stream) {
-
-    int id = ggml_cuda_get_device();
-    const int compute_capability = ggml_cuda_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= CC_RDNA2) {
-        mmq_x  =  MMQ_X_Q4_K_RDNA2;
-        mmq_y  =  MMQ_Y_Q4_K_RDNA2;
-        nwarps = NWARPS_Q4_K_RDNA2;
-    } else if (compute_capability >= CC_OFFSET_AMD) {
-        mmq_x  =  MMQ_X_Q4_K_RDNA1;
-        mmq_y  =  MMQ_Y_Q4_K_RDNA1;
-        nwarps = NWARPS_Q4_K_RDNA1;
-    } else if (compute_capability >= CC_VOLTA) {
-        mmq_x  =  MMQ_X_Q4_K_AMPERE;
-        mmq_y  =  MMQ_Y_Q4_K_AMPERE;
-        nwarps = NWARPS_Q4_K_AMPERE;
-    } else if (compute_capability >= MIN_CC_DP4A) {
-        mmq_x  =  MMQ_X_Q4_K_PASCAL;
-        mmq_y  =  MMQ_Y_Q4_K_PASCAL;
-        nwarps = NWARPS_Q4_K_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const dim3 block_nums(block_num_x, block_num_y, 1);
-    const dim3 block_dims(WARP_SIZE, nwarps, 1);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        mul_mat_q4_K<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    } else {
-        const bool need_check = true;
-        mul_mat_q4_K<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    }
-}
-
-static void ggml_mul_mat_q5_K_q8_1_cuda(
-    const void * vx, const void * vy, float * dst, const int ncols_x, const int nrows_x,
-    const int ncols_y, const int nrows_y, const int nrows_dst, cudaStream_t stream) {
-
-    int id = ggml_cuda_get_device();
-    const int compute_capability = ggml_cuda_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= CC_RDNA2) {
-        mmq_x  =  MMQ_X_Q5_K_RDNA2;
-        mmq_y  =  MMQ_Y_Q5_K_RDNA2;
-        nwarps = NWARPS_Q5_K_RDNA2;
-    } else if (compute_capability >= CC_OFFSET_AMD) {
-        mmq_x  =  MMQ_X_Q5_K_RDNA1;
-        mmq_y  =  MMQ_Y_Q5_K_RDNA1;
-        nwarps = NWARPS_Q5_K_RDNA1;
-    } else if (compute_capability >= CC_VOLTA) {
-        mmq_x  =  MMQ_X_Q5_K_AMPERE;
-        mmq_y  =  MMQ_Y_Q5_K_AMPERE;
-        nwarps = NWARPS_Q5_K_AMPERE;
-    } else if (compute_capability >= MIN_CC_DP4A) {
-        mmq_x  =  MMQ_X_Q5_K_PASCAL;
-        mmq_y  =  MMQ_Y_Q5_K_PASCAL;
-        nwarps = NWARPS_Q5_K_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const dim3 block_nums(block_num_x, block_num_y, 1);
-    const dim3 block_dims(WARP_SIZE, nwarps, 1);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        mul_mat_q5_K<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    } else {
-        const bool need_check = true;
-        mul_mat_q5_K<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    }
-}
-
-static void ggml_mul_mat_q6_K_q8_1_cuda(
-    const void * vx, const void * vy, float * dst, const int ncols_x, const int nrows_x,
-    const int ncols_y, const int nrows_y, const int nrows_dst, cudaStream_t stream) {
-
-    int id = ggml_cuda_get_device();
-    const int compute_capability = ggml_cuda_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= CC_RDNA2) {
-        mmq_x  =  MMQ_X_Q6_K_RDNA2;
-        mmq_y  =  MMQ_Y_Q6_K_RDNA2;
-        nwarps = NWARPS_Q6_K_RDNA2;
-    } else if (compute_capability >= CC_OFFSET_AMD) {
-        mmq_x  =  MMQ_X_Q6_K_RDNA1;
-        mmq_y  =  MMQ_Y_Q6_K_RDNA1;
-        nwarps = NWARPS_Q6_K_RDNA1;
-    } else if (compute_capability >= CC_VOLTA) {
-        mmq_x  =  MMQ_X_Q6_K_AMPERE;
-        mmq_y  =  MMQ_Y_Q6_K_AMPERE;
-        nwarps = NWARPS_Q6_K_AMPERE;
-    } else if (compute_capability >= MIN_CC_DP4A) {
-        mmq_x  =  MMQ_X_Q6_K_PASCAL;
-        mmq_y  =  MMQ_Y_Q6_K_PASCAL;
-        nwarps = NWARPS_Q6_K_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const dim3 block_nums(block_num_x, block_num_y, 1);
-    const dim3 block_dims(WARP_SIZE, nwarps, 1);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        mul_mat_q6_K<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    } else {
-        const bool need_check = true;
-        mul_mat_q6_K<need_check><<<block_nums, block_dims, 0, stream>>>
-            (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-    }
-}
+#define MMQ_SWITCH_CASE(type_suffix)                                                                        \
+    case GGML_TYPE_Q##type_suffix: if (row_diff % arch_config.y == 0) {                                     \
+        const bool need_check = false;                                                                      \
+        mul_mat_q##type_suffix<need_check><<<block_nums, block_dims, 0, stream>>>                           \
+            (src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst); \
+    } else {                                                                                                \
+        const bool need_check = true;                                                                       \
+        mul_mat_q##type_suffix<need_check><<<block_nums, block_dims, 0, stream>>>                           \
+            (src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst); \
+    } break;                                                                                                \
 
 void ggml_cuda_op_mul_mat_q(
     ggml_backend_cuda_context & ctx,
@@ -2190,47 +1462,84 @@ void ggml_cuda_op_mul_mat_q(
     const int64_t row_diff = row_high - row_low;
 
     int id = ggml_cuda_get_device();
+    const int compute_capability = ggml_cuda_info().devices[id].cc;
 
     // the main device has a larger memory buffer to hold the results from all GPUs
     // nrows_dst == nrows of the matrix that the kernel writes into
     const int64_t nrows_dst = id == ctx.device ? ne0 : row_diff;
 
+    mmq_config_t mmq_config;
+
     switch (src0->type) {
         case GGML_TYPE_Q4_0:
-            ggml_mul_mat_q4_0_q8_1_cuda(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            mmq_config = MMQ_CONFIG_Q4_0;
             break;
         case GGML_TYPE_Q4_1:
-            ggml_mul_mat_q4_1_q8_1_cuda(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            mmq_config = MMQ_CONFIG_Q4_1;
             break;
         case GGML_TYPE_Q5_0:
-            ggml_mul_mat_q5_0_q8_1_cuda(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            mmq_config = MMQ_CONFIG_Q5_0;
             break;
         case GGML_TYPE_Q5_1:
-            ggml_mul_mat_q5_1_q8_1_cuda(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            mmq_config = MMQ_CONFIG_Q5_1;
             break;
         case GGML_TYPE_Q8_0:
-            ggml_mul_mat_q8_0_q8_1_cuda(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            mmq_config = MMQ_CONFIG_Q8_0;
             break;
         case GGML_TYPE_Q2_K:
-            ggml_mul_mat_q2_K_q8_1_cuda(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            mmq_config = MMQ_CONFIG_Q2_K;
             break;
         case GGML_TYPE_Q3_K:
-            ggml_mul_mat_q3_K_q8_1_cuda(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            mmq_config = MMQ_CONFIG_Q3_K;
             break;
         case GGML_TYPE_Q4_K:
-            ggml_mul_mat_q4_K_q8_1_cuda(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            mmq_config = MMQ_CONFIG_Q4_K;
             break;
         case GGML_TYPE_Q5_K:
-            ggml_mul_mat_q5_K_q8_1_cuda(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            mmq_config = MMQ_CONFIG_Q5_K;
             break;
         case GGML_TYPE_Q6_K:
-            ggml_mul_mat_q6_K_q8_1_cuda(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            mmq_config = MMQ_CONFIG_Q6_K;
             break;
         default:
             GGML_ASSERT(false);
             break;
     }
 
+    mmq_arch_config_t arch_config;
+    if (compute_capability >= CC_RDNA2) {
+        arch_config = mmq_config.rdna2;
+    } else if (compute_capability >= CC_OFFSET_AMD) {
+        arch_config = mmq_config.rdna1;
+    } else if (compute_capability >= CC_VOLTA) {
+        arch_config = mmq_config.ampere;
+    } else if (compute_capability >= MIN_CC_DP4A) {
+        arch_config = mmq_config.pascal;
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    const int block_num_x = (row_diff   + arch_config.y - 1) / arch_config.y;
+    const int block_num_y = (src1_ncols + arch_config.x - 1) / arch_config.x;
+    const dim3 block_nums(block_num_x, block_num_y, 1);
+    const dim3 block_dims(WARP_SIZE, arch_config.nwarps, 1);
+
+    switch (src0->type) {
+        MMQ_SWITCH_CASE(4_0)
+        MMQ_SWITCH_CASE(4_1)
+        MMQ_SWITCH_CASE(5_0)
+        MMQ_SWITCH_CASE(5_1)
+        MMQ_SWITCH_CASE(8_0)
+        MMQ_SWITCH_CASE(2_K)
+        MMQ_SWITCH_CASE(3_K)
+        MMQ_SWITCH_CASE(4_K)
+        MMQ_SWITCH_CASE(5_K)
+        MMQ_SWITCH_CASE(6_K)
+        default:
+            GGML_ASSERT(false);
+            break;
+    }
+
     GGML_UNUSED(src1);
     GGML_UNUSED(dst);
     GGML_UNUSED(src1_ddf_i);
diff --git a/ggml-cuda/norm.cu b/ggml-cuda/norm.cu
index 86f774534..30866d512 100644
--- a/ggml-cuda/norm.cu
+++ b/ggml-cuda/norm.cu
@@ -170,6 +170,8 @@ void ggml_cuda_op_norm(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
@@ -188,6 +190,8 @@ void ggml_cuda_op_group_norm(ggml_backend_cuda_context & ctx, ggml_tensor * dst)
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
@@ -202,6 +206,8 @@ void ggml_cuda_op_rms_norm(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
diff --git a/ggml-cuda/rope.cu b/ggml-cuda/rope.cu
index 4b0d2e5ad..596fb7c13 100644
--- a/ggml-cuda/rope.cu
+++ b/ggml-cuda/rope.cu
@@ -1,7 +1,7 @@
 #include "rope.cuh"
 
 struct rope_corr_dims {
-    float v[4];
+    float v[2];
 };
 
 static __device__ float rope_yarn_ramp(const float low, const float high, const int i0) {
@@ -13,8 +13,7 @@ static __device__ float rope_yarn_ramp(const float low, const float high, const
 // MIT licensed. Copyright (c) 2023 Jeffrey Quesnelle and Bowen Peng.
 static __device__ void rope_yarn(
     float theta_extrap, float freq_scale, rope_corr_dims corr_dims, int64_t i0, float ext_factor, float mscale,
-    float * cos_theta, float * sin_theta
-) {
+    float * cos_theta, float * sin_theta) {
     // Get n-d rotational scaling corrected for extrapolation
     float theta_interp = freq_scale * theta_extrap;
     float theta = theta_interp;
@@ -29,27 +28,38 @@ static __device__ void rope_yarn(
     *sin_theta = sinf(theta) * mscale;
 }
 
-// rope == RoPE == rotary positional embedding
-template<typename T, bool has_pos>
-static __global__ void rope(
-    const T * x, T * dst, int ncols, const int32_t * pos, float freq_scale, int p_delta_rows, float freq_base,
-    float ext_factor, float attn_factor, rope_corr_dims corr_dims
-) {
-    const int col = 2*(blockDim.y*blockIdx.y + threadIdx.y);
+template<typename T, bool has_ff>
+static __global__ void rope_norm(
+    const T * x, T * dst, int ne0, int n_dims, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, const float * freq_factors) {
+    const int i0 = 2*(blockDim.y*blockIdx.y + threadIdx.y);
 
-    if (col >= ncols) {
+    if (i0 >= ne0) {
         return;
     }
 
     const int row = blockDim.x*blockIdx.x + threadIdx.x;
-    const int i = row*ncols + col;
+
+    if (i0 >= n_dims) {
+        const int i = row*ne0 + i0;
+
+        dst[i + 0] = x[i + 0];
+        dst[i + 1] = x[i + 1];
+
+        return;
+    }
+
+    const int i  = row*ne0 + i0;
     const int i2 = row/p_delta_rows;
 
-    const int p = has_pos ? pos[i2] : 0;
-    const float theta_base = p*powf(freq_base, -float(col)/ncols);
+    const float theta_base = pos[i2]*powf(theta_scale, i0/2.0f);
 
-    float cos_theta, sin_theta;
-    rope_yarn(theta_base, freq_scale, corr_dims, col, ext_factor, attn_factor, &cos_theta, &sin_theta);
+    const float freq_factor = has_ff ? freq_factors[i0/2] : 1.0f;
+
+    float cos_theta;
+    float sin_theta;
+
+    rope_yarn(theta_base/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
 
     const float x0 = x[i + 0];
     const float x1 = x[i + 1];
@@ -58,23 +68,20 @@ static __global__ void rope(
     dst[i + 1] = x0*sin_theta + x1*cos_theta;
 }
 
-template<typename T, bool has_pos>
+template<typename T, bool has_ff>
 static __global__ void rope_neox(
-    const T * x, T * dst, int ncols, int n_dims, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, float inv_ndims
-) {
-    const int col = 2*(blockDim.y*blockIdx.y + threadIdx.y);
+    const T * x, T * dst, int ne0, int n_dims, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, const float * freq_factors) {
+    const int i0 = 2*(blockDim.y*blockIdx.y + threadIdx.y);
 
-    if (col >= ncols) {
+    if (i0 >= ne0) {
         return;
     }
 
     const int row = blockDim.x*blockIdx.x + threadIdx.x;
-    const int ib = col / n_dims;
-    const int ic = col % n_dims;
 
-    if (ib > 0) {
-        const int i = row*ncols + ib*n_dims + ic;
+    if (i0 >= n_dims) {
+        const int i = row*ne0 + i0;
 
         dst[i + 0] = x[i + 0];
         dst[i + 1] = x[i + 1];
@@ -82,16 +89,17 @@ static __global__ void rope_neox(
         return;
     }
 
-    const int i  = row*ncols + ib*n_dims + ic/2;
+    const int i  = row*ne0 + i0/2;
     const int i2 = row/p_delta_rows;
 
-    float cur_rot = inv_ndims * ic - ib;
+    const float theta_base = pos[i2]*powf(theta_scale, i0/2.0f);
 
-    const int p = has_pos ? pos[i2] : 0;
-    const float theta_base = p*freq_scale*powf(theta_scale, col/2.0f);
+    const float freq_factor = has_ff ? freq_factors[i0/2] : 1.0f;
 
-    float cos_theta, sin_theta;
-    rope_yarn(theta_base, freq_scale, corr_dims, cur_rot, ext_factor, attn_factor, &cos_theta, &sin_theta);
+    float cos_theta;
+    float sin_theta;
+
+    rope_yarn(theta_base/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
 
     const float x0 = x[i + 0];
     const float x1 = x[i + n_dims/2];
@@ -100,158 +108,117 @@ static __global__ void rope_neox(
     dst[i + n_dims/2] = x0*sin_theta + x1*cos_theta;
 }
 
-static __global__ void rope_glm_f32(
-    const float * x, float * dst, int ncols, const int32_t * pos, float freq_scale, int p_delta_rows, float freq_base,
-    int n_ctx
-) {
-    const int col = blockDim.x*blockIdx.x + threadIdx.x;
-    const int half_n_dims = ncols/4;
-
-    if (col >= half_n_dims) {
-        return;
-    }
-
-    const int row = blockDim.y*blockIdx.y + threadIdx.y;
-    const int i = row*ncols + col;
-    const int i2 = row/p_delta_rows;
-
-    const float col_theta_scale = powf(freq_base, -2.0f*col/ncols);
-     // FIXME: this is likely wrong
-    const int p = pos != nullptr ? pos[i2] : 0;
-
-    const float theta = min(p, n_ctx - 2)*freq_scale*col_theta_scale;
-    const float sin_theta = sinf(theta);
-    const float cos_theta = cosf(theta);
-
-    const float x0 = x[i + 0];
-    const float x1 = x[i + half_n_dims];
-
-    dst[i + 0]           = x0*cos_theta - x1*sin_theta;
-    dst[i + half_n_dims] = x0*sin_theta + x1*cos_theta;
-
-    const float block_theta = ((float)max(p - n_ctx - 2, 0))*col_theta_scale;
-    const float sin_block_theta = sinf(block_theta);
-    const float cos_block_theta = cosf(block_theta);
-
-    const float x2 = x[i + half_n_dims * 2];
-    const float x3 = x[i + half_n_dims * 3];
-
-    dst[i + half_n_dims * 2] = x2*cos_block_theta - x3*sin_block_theta;
-    dst[i + half_n_dims * 3] = x2*sin_block_theta + x3*cos_block_theta;
-}
-
-
 template<typename T>
-static void rope_cuda(
-    const T * x, T * dst, int ncols, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, cudaStream_t stream
-) {
-    GGML_ASSERT(ncols % 2 == 0);
+static void rope_norm_cuda(
+    const T * x, T * dst, int ne0, int n_dims, int nr, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream) {
+    GGML_ASSERT(ne0 % 2 == 0);
     const dim3 block_dims(1, CUDA_ROPE_BLOCK_SIZE, 1);
-    const int num_blocks_x = (ncols + 2*CUDA_ROPE_BLOCK_SIZE - 1) / (2*CUDA_ROPE_BLOCK_SIZE);
-    const dim3 block_nums(nrows, num_blocks_x, 1);
-    if (pos == nullptr) {
-        rope<T, false><<<block_nums, block_dims, 0, stream>>>(
-            x, dst, ncols, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims
-        );
+    const int n_blocks_x = (ne0 + 2*CUDA_ROPE_BLOCK_SIZE - 1) / (2*CUDA_ROPE_BLOCK_SIZE);
+    const dim3 block_nums(nr, n_blocks_x, 1);
+
+    const float theta_scale = powf(freq_base, -2.0f/n_dims);
+
+    if (freq_factors == nullptr) {
+        rope_norm<T, false><<<block_nums, block_dims, 0, stream>>>(
+                x, dst, ne0, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
+                theta_scale, freq_factors
+                );
     } else {
-        rope<T, true><<<block_nums, block_dims, 0, stream>>>(
-            x, dst, ncols, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims
-        );
+        rope_norm<T, true><<<block_nums, block_dims, 0, stream>>>(
+                x, dst, ne0, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
+                theta_scale, freq_factors
+                );
     }
 }
 
 template<typename T>
 static void rope_neox_cuda(
-    const T * x, T * dst, int ncols, int n_dims, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, cudaStream_t stream
-) {
-    GGML_ASSERT(ncols % 2 == 0);
+    const T * x, T * dst, int ne0, int n_dims, int nr, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream) {
+    GGML_ASSERT(ne0 % 2 == 0);
     const dim3 block_dims(1, CUDA_ROPE_BLOCK_SIZE, 1);
-    const int num_blocks_x = (ncols + 2*CUDA_ROPE_BLOCK_SIZE - 1) / (2*CUDA_ROPE_BLOCK_SIZE);
-    const dim3 block_nums(nrows, num_blocks_x, 1);
+    const int n_blocks_x = (ne0 + 2*CUDA_ROPE_BLOCK_SIZE - 1) / (2*CUDA_ROPE_BLOCK_SIZE);
+    const dim3 block_nums(nr, n_blocks_x, 1);
 
     const float theta_scale = powf(freq_base, -2.0f/n_dims);
-    const float inv_ndims = -1.0f / n_dims;
 
-    if (pos == nullptr) {
+    if (freq_factors == nullptr) {
         rope_neox<T, false><<<block_nums, block_dims, 0, stream>>>(
-            x, dst, ncols, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
-            theta_scale, inv_ndims
-        );
+                x, dst, ne0, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
+                theta_scale, freq_factors
+                );
     } else {
         rope_neox<T, true><<<block_nums, block_dims, 0, stream>>>(
-            x, dst, ncols, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
-            theta_scale, inv_ndims
-        );
+                x, dst, ne0, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
+                theta_scale, freq_factors
+                );
     }
 }
 
-static void rope_glm_f32_cuda(
-    const float * x, float * dst, int ncols, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float freq_base, int n_ctx, cudaStream_t stream
-) {
-    GGML_ASSERT(ncols % 4 == 0);
-    const dim3 block_dims(CUDA_ROPE_BLOCK_SIZE/4, 1, 1);
-    const int num_blocks_x = (ncols + CUDA_ROPE_BLOCK_SIZE - 1) / CUDA_ROPE_BLOCK_SIZE;
-    const dim3 block_nums(num_blocks_x, nrows, 1);
-    rope_glm_f32<<<block_nums, block_dims, 0, stream>>>(x, dst, ncols, pos, freq_scale, p_delta_rows, freq_base, n_ctx);
+static void rope_norm_cuda_f16(
+    const half * x, half * dst, int ne0, int n_dims, int nr, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream) {
+
+    rope_norm_cuda<half>(x, dst, ne0, n_dims, nr, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, stream);
 }
 
-static void rope_cuda_f16(
-    const half * x, half * dst, int ncols, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, cudaStream_t stream) {
+static void rope_norm_cuda_f32(
+    const float * x, float * dst, int ne0, int n_dims, int nr, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream) {
 
-    rope_cuda<half>(x, dst, ncols, nrows, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, stream);
-}
-
-static void rope_cuda_f32(
-    const float * x, float * dst, int ncols, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, cudaStream_t stream) {
-
-    rope_cuda<float>(x, dst, ncols, nrows, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, stream);
+    rope_norm_cuda<float>(x, dst, ne0, n_dims, nr, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, stream);
 }
 
 static void rope_neox_cuda_f16(
-    const half * x, half * dst, int ncols, int n_dims, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, cudaStream_t stream) {
+    const half * x, half * dst, int ne0, int n_dims, int nr, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream) {
 
-    rope_neox_cuda<half>(x, dst, ncols, n_dims, nrows, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, stream);
+    rope_neox_cuda<half>(x, dst, ne0, n_dims, nr, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, stream);
 }
 
 static void rope_neox_cuda_f32(
-    const float * x, float * dst, int ncols, int n_dims, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, cudaStream_t stream
+    const float * x, float * dst, int ne0, int n_dims, int nr, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream
 ) {
 
-    rope_neox_cuda<float>(x, dst, ncols, n_dims, nrows, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, stream);
+    rope_neox_cuda<float>(x, dst, ne0, n_dims, nr, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, stream);
 }
 
 void ggml_cuda_op_rope(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     const ggml_tensor * src0 = dst->src[0];
     const ggml_tensor * src1 = dst->src[1];
+    const ggml_tensor * src2 = dst->src[2];
+
     const float * src0_d = (const float *)src0->data;
     const float * src1_d = (const float *)src1->data;
+
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
     GGML_ASSERT(src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);
     GGML_ASSERT( dst->type == GGML_TYPE_F32 ||  dst->type == GGML_TYPE_F16);
     GGML_ASSERT(src0->type == dst->type);
 
     const int64_t ne00 = src0->ne[0];
     const int64_t ne01 = src0->ne[1];
-    const int64_t ne2 = dst->ne[2];
-    const int64_t nrows = ggml_nrows(src0);
+    const int64_t nr = ggml_nrows(src0);
 
-    //const int n_past      = ((int32_t *) dst->op_params)[0];
-    const int n_dims      = ((int32_t *) dst->op_params)[1];
-    const int mode        = ((int32_t *) dst->op_params)[2];
-    const int n_ctx       = ((int32_t *) dst->op_params)[3];
-    const int n_orig_ctx  = ((int32_t *) dst->op_params)[4];
+    //const int n_past     = ((int32_t *) dst->op_params)[0];
+    const int n_dims     = ((int32_t *) dst->op_params)[1];
+    const int mode       = ((int32_t *) dst->op_params)[2];
+    //const int n_ctx      = ((int32_t *) dst->op_params)[3];
+    const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
 
     // RoPE alteration for extended context
-    float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
+    float freq_base;
+    float freq_scale;
+    float ext_factor;
+    float attn_factor;
+    float beta_fast;
+    float beta_slow;
+
     memcpy(&freq_base,   (int32_t *) dst->op_params +  5, sizeof(float));
     memcpy(&freq_scale,  (int32_t *) dst->op_params +  6, sizeof(float));
     memcpy(&ext_factor,  (int32_t *) dst->op_params +  7, sizeof(float));
@@ -259,47 +226,43 @@ void ggml_cuda_op_rope(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     memcpy(&beta_fast,   (int32_t *) dst->op_params +  9, sizeof(float));
     memcpy(&beta_slow,   (int32_t *) dst->op_params + 10, sizeof(float));
 
-    const int32_t * pos = nullptr;
-    if ((mode & 1) == 0) {
-        GGML_ASSERT(src1->type == GGML_TYPE_I32);
-        GGML_ASSERT(src1->ne[0] == ne2);
-        pos = (const int32_t *) src1_d;
+    const bool is_neox = mode & 2;
+
+    const int32_t * pos = (const int32_t *) src1_d;
+
+    const float * freq_factors = nullptr;
+    if (src2 != nullptr) {
+        freq_factors = (const float *) src2->data;
     }
 
-    const bool is_neox = mode & 2;
-    const bool is_glm  = mode & 4;
-
     rope_corr_dims corr_dims;
-    ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims.v);
+    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims.v);
 
     // compute
-    if (is_glm) {
-        GGML_ASSERT(false);
-        rope_glm_f32_cuda(src0_d, dst_d, ne00, nrows, pos, freq_scale, ne01, freq_base, n_ctx, stream);
-    } else if (is_neox) {
+    if (is_neox) {
         if (src0->type == GGML_TYPE_F32) {
             rope_neox_cuda_f32(
-                (const float *)src0_d, (float *)dst_d, ne00, n_dims, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
-                attn_factor, corr_dims, stream
+                (const float *)src0_d, (float *)dst_d, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
+                attn_factor, corr_dims, freq_factors, stream
             );
         } else if (src0->type == GGML_TYPE_F16) {
             rope_neox_cuda_f16(
-                (const half *)src0_d, (half *)dst_d, ne00, n_dims, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
-                attn_factor, corr_dims, stream
+                (const half *)src0_d, (half *)dst_d, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
+                attn_factor, corr_dims, freq_factors, stream
             );
         } else {
             GGML_ASSERT(false);
         }
     } else {
         if (src0->type == GGML_TYPE_F32) {
-            rope_cuda_f32(
-                (const float *)src0_d, (float *)dst_d, ne00, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
-                attn_factor, corr_dims, stream
+            rope_norm_cuda_f32(
+                (const float *)src0_d, (float *)dst_d, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
+                attn_factor, corr_dims, freq_factors, stream
             );
         } else if (src0->type == GGML_TYPE_F16) {
-            rope_cuda_f16(
-                (const half *)src0_d, (half *)dst_d, ne00, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
-                attn_factor, corr_dims, stream
+            rope_norm_cuda_f16(
+                (const half *)src0_d, (half *)dst_d, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
+                attn_factor, corr_dims, freq_factors, stream
             );
         } else {
             GGML_ASSERT(false);
diff --git a/ggml-cuda/softmax.cu b/ggml-cuda/softmax.cu
index ca85285a3..ce64f2f2c 100644
--- a/ggml-cuda/softmax.cu
+++ b/ggml-cuda/softmax.cu
@@ -1,3 +1,4 @@
+#include "common.cuh"
 #include "softmax.cuh"
 
 template <typename T>
@@ -23,17 +24,7 @@ static __global__ void soft_max_f32(const float * x, const T * mask, float * dst
     const int warp_id = threadIdx.x / WARP_SIZE;
     const int lane_id = threadIdx.x % WARP_SIZE;
 
-    float slope = 1.0f;
-
-    // ALiBi
-    if (max_bias > 0.0f) {
-        const int h = rowx/nrows_y; // head index
-
-        const float base = h < n_head_log2 ? m0 : m1;
-        const int   exph = h < n_head_log2 ? h + 1 : 2*(h - n_head_log2) + 1;
-
-        slope = powf(base, exph);
-    }
+    const float slope = get_alibi_slope(max_bias, rowx/nrows_y, n_head_log2, m0, m1);
 
     extern __shared__ float data_soft_max_f32[];
     float * buf_iw = data_soft_max_f32; // shared memory buffer for inter-warp communication
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-f16.cu
new file mode 100644
index 000000000..d7f103475
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_F16, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_0.cu
new file mode 100644
index 000000000..f3d8d2eda
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_1.cu
new file mode 100644
index 000000000..9beb05ca2
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_0.cu
new file mode 100644
index 000000000..0c163dcba
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_1.cu
new file mode 100644
index 000000000..3980167b3
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q8_0.cu
new file mode 100644
index 000000000..fe099921d
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-f16.cu
new file mode 100644
index 000000000..d4d5e7999
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_0.cu
new file mode 100644
index 000000000..f08b10c4d
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_1.cu
new file mode 100644
index 000000000..e8c3f8adc
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_0.cu
new file mode 100644
index 000000000..c01416a13
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_1.cu
new file mode 100644
index 000000000..46615f281
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q8_0.cu
new file mode 100644
index 000000000..72dcc1a2f
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-f16.cu
new file mode 100644
index 000000000..9fa8a377d
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_0.cu
new file mode 100644
index 000000000..20ea86c6d
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_1.cu
new file mode 100644
index 000000000..ed815957c
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_0.cu
new file mode 100644
index 000000000..bbe9e6a1c
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_1.cu
new file mode 100644
index 000000000..d12a61699
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q8_0.cu
new file mode 100644
index 000000000..1e901afcb
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-f16.cu
new file mode 100644
index 000000000..a3f98ce37
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_0.cu
new file mode 100644
index 000000000..1bae97243
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_1.cu
new file mode 100644
index 000000000..7258e9775
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_0.cu
new file mode 100644
index 000000000..08435c005
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_1.cu
new file mode 100644
index 000000000..17864e8e9
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q8_0.cu
new file mode 100644
index 000000000..9239138c9
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-f16.cu
new file mode 100644
index 000000000..e387d9c1d
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_0.cu
new file mode 100644
index 000000000..d69d3bbd6
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_1.cu
new file mode 100644
index 000000000..61a478816
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_0.cu
new file mode 100644
index 000000000..89995080a
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_1.cu
new file mode 100644
index 000000000..9e6a58dff
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q8_0.cu
new file mode 100644
index 000000000..153cbfd86
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-f16.cu
new file mode 100644
index 000000000..09d576558
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_0.cu
new file mode 100644
index 000000000..3e3c91e68
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_1.cu
new file mode 100644
index 000000000..7b973058f
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_0.cu
new file mode 100644
index 000000000..a43a475d4
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_1.cu
new file mode 100644
index 000000000..5b570c0a3
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q8_0.cu
new file mode 100644
index 000000000..bf2cc684e
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs256-f16-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs256-f16-f16.cu
new file mode 100644
index 000000000..7428e45ea
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs256-f16-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-f16.cu
new file mode 100644
index 000000000..4aee830de
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(64, GGML_TYPE_F16, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_0.cu
new file mode 100644
index 000000000..36acb6319
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(64, GGML_TYPE_F16, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_1.cu
new file mode 100644
index 000000000..a4090c390
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(64, GGML_TYPE_F16, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_0.cu
new file mode 100644
index 000000000..17b6b2d11
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(64, GGML_TYPE_F16, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_1.cu
new file mode 100644
index 000000000..549e1cea1
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(64, GGML_TYPE_F16, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q8_0.cu
new file mode 100644
index 000000000..66bcd820f
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f16.cuh"
+
+DECL_FATTN_VEC_F16_CASE(64, GGML_TYPE_F16, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-f16.cu
new file mode 100644
index 000000000..15933a299
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_F16, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_0.cu
new file mode 100644
index 000000000..8aa785583
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_1.cu
new file mode 100644
index 000000000..bde3924fd
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_0.cu
new file mode 100644
index 000000000..1708181c1
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_1.cu
new file mode 100644
index 000000000..30fa6fa4c
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q8_0.cu
new file mode 100644
index 000000000..69673d50f
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-f16.cu
new file mode 100644
index 000000000..d8b2b2e18
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_0.cu
new file mode 100644
index 000000000..01cce7ab5
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_1.cu
new file mode 100644
index 000000000..fd5563b39
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_0.cu
new file mode 100644
index 000000000..b13cc4a0c
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_1.cu
new file mode 100644
index 000000000..86f1fc637
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q8_0.cu
new file mode 100644
index 000000000..26e7df4be
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-f16.cu
new file mode 100644
index 000000000..e4fda8952
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_0.cu
new file mode 100644
index 000000000..bd15117b4
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_1.cu
new file mode 100644
index 000000000..cb6c6a760
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_0.cu
new file mode 100644
index 000000000..201b6641d
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_1.cu
new file mode 100644
index 000000000..6da57a44a
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q8_0.cu
new file mode 100644
index 000000000..47623c9bf
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-f16.cu
new file mode 100644
index 000000000..82c6861d2
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_0.cu
new file mode 100644
index 000000000..24a80c2b0
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_1.cu
new file mode 100644
index 000000000..b95eaf7e1
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_0.cu
new file mode 100644
index 000000000..275f2efcc
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_1.cu
new file mode 100644
index 000000000..3673f7fd5
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q8_0.cu
new file mode 100644
index 000000000..2c4d59947
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-f16.cu
new file mode 100644
index 000000000..2457cdf3f
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_0.cu
new file mode 100644
index 000000000..b3b411ed3
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_1.cu
new file mode 100644
index 000000000..b7f308a4d
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_0.cu
new file mode 100644
index 000000000..739686697
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_1.cu
new file mode 100644
index 000000000..708d03113
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q8_0.cu
new file mode 100644
index 000000000..df891be60
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-f16.cu
new file mode 100644
index 000000000..f49b6d1f9
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_0.cu
new file mode 100644
index 000000000..1de92148b
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_1.cu
new file mode 100644
index 000000000..7a1ba7f8d
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_0.cu
new file mode 100644
index 000000000..25493e4ba
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_1.cu
new file mode 100644
index 000000000..3cd650c7b
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q8_0.cu
new file mode 100644
index 000000000..88ffa43d6
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs256-f16-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs256-f16-f16.cu
new file mode 100644
index 000000000..8c7bac6c2
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs256-f16-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-f16.cu
new file mode 100644
index 000000000..a28f62e7b
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-f16.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(64, GGML_TYPE_F16, GGML_TYPE_F16);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_0.cu
new file mode 100644
index 000000000..d39838b96
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(64, GGML_TYPE_F16, GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_1.cu
new file mode 100644
index 000000000..834d40f6c
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(64, GGML_TYPE_F16, GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_0.cu
new file mode 100644
index 000000000..f7d54668b
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(64, GGML_TYPE_F16, GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_1.cu
new file mode 100644
index 000000000..59e00ad83
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(64, GGML_TYPE_F16, GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q8_0.cu
new file mode 100644
index 000000000..6e63893de
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-vec-f32.cuh"
+
+DECL_FATTN_VEC_F32_CASE(64, GGML_TYPE_F16, GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb16.cu b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb16.cu
new file mode 100644
index 000000000..ca356ad6c
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb16.cu
@@ -0,0 +1,10 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-wmma-f16.cuh"
+
+DECL_FATTN_WMMA_F16_CASE(64, 16, float);
+DECL_FATTN_WMMA_F16_CASE(80, 16, float);
+DECL_FATTN_WMMA_F16_CASE(96, 16, float);
+DECL_FATTN_WMMA_F16_CASE(112, 16, float);
+DECL_FATTN_WMMA_F16_CASE(128, 16, float);
+DECL_FATTN_WMMA_F16_CASE(256, 16, float);
diff --git a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb32.cu b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb32.cu
new file mode 100644
index 000000000..430ee64eb
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb32.cu
@@ -0,0 +1,9 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-wmma-f16.cuh"
+
+DECL_FATTN_WMMA_F16_CASE(64, 32, float);
+DECL_FATTN_WMMA_F16_CASE(80, 32, float);
+DECL_FATTN_WMMA_F16_CASE(96, 32, float);
+DECL_FATTN_WMMA_F16_CASE(112, 32, float);
+DECL_FATTN_WMMA_F16_CASE(128, 32, float);
diff --git a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb16.cu b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb16.cu
new file mode 100644
index 000000000..d421d17cc
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb16.cu
@@ -0,0 +1,10 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-wmma-f16.cuh"
+
+DECL_FATTN_WMMA_F16_CASE(64, 16, half);
+DECL_FATTN_WMMA_F16_CASE(80, 16, half);
+DECL_FATTN_WMMA_F16_CASE(96, 16, half);
+DECL_FATTN_WMMA_F16_CASE(112, 16, half);
+DECL_FATTN_WMMA_F16_CASE(128, 16, half);
+DECL_FATTN_WMMA_F16_CASE(256, 16, half);
diff --git a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb32.cu b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb32.cu
new file mode 100644
index 000000000..deacd5f58
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb32.cu
@@ -0,0 +1,10 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-wmma-f16.cuh"
+
+DECL_FATTN_WMMA_F16_CASE(64, 32, half);
+DECL_FATTN_WMMA_F16_CASE(80, 32, half);
+DECL_FATTN_WMMA_F16_CASE(96, 32, half);
+DECL_FATTN_WMMA_F16_CASE(112, 32, half);
+DECL_FATTN_WMMA_F16_CASE(128, 32, half);
+DECL_FATTN_WMMA_F16_CASE(256, 32, half);
diff --git a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb8.cu b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb8.cu
new file mode 100644
index 000000000..282896733
--- /dev/null
+++ b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb8.cu
@@ -0,0 +1,8 @@
+// This file has been autogenerated by generate-variants.py, do not edit manually.
+
+#include "../fattn-wmma-f16.cuh"
+
+DECL_FATTN_WMMA_F16_CASE(64, 8, half);
+DECL_FATTN_WMMA_F16_CASE(96, 8, half);
+DECL_FATTN_WMMA_F16_CASE(128, 8, half);
+DECL_FATTN_WMMA_F16_CASE(256, 8, half);
diff --git a/ggml-cuda/template-instances/generate_cu_files.py b/ggml-cuda/template-instances/generate_cu_files.py
new file mode 100755
index 000000000..ee5b460e0
--- /dev/null
+++ b/ggml-cuda/template-instances/generate_cu_files.py
@@ -0,0 +1,59 @@
+#!/usr/bin/env python3
+
+from glob import glob
+import os
+
+TYPES_KV = ["GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0", "GGML_TYPE_F16"]
+
+SOURCE_FATTN_VEC = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-vec-f{vkq_size}.cuh"
+
+DECL_FATTN_VEC_F{vkq_size}_CASE({head_size}, {type_k}, {type_v});
+"""
+
+SOURCE_FATTN_WMMA_START = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-wmma-f16.cuh"
+
+"""
+
+SOURCE_FATTN_WMMA_CASE = "DECL_FATTN_WMMA_F16_CASE({head_size}, {cols_per_block}, {kq_acc_t});\n"
+
+
+def get_short_name(long_quant_name):
+    return long_quant_name.replace("GGML_TYPE_", "").lower()
+
+
+def get_head_sizes(type_k, type_v):
+    if type_k == "GGML_TYPE_F16" and type_v == "GGML_TYPE_F16":
+        return [64, 128, 256]
+    if type_k == "GGML_TYPE_F16":
+        return [64, 128]
+    return [128]
+
+
+for filename in glob("*.cu"):
+    os.remove(filename)
+
+for vkq_size in [16, 32]:
+    for type_k in TYPES_KV:
+        for type_v in TYPES_KV:
+            for head_size in get_head_sizes(type_k, type_v):
+                with open(f"fattn-vec-f{vkq_size}-instance-hs{head_size}-{get_short_name(type_k)}-{get_short_name(type_v)}.cu", "w") as f:
+                    f.write(SOURCE_FATTN_VEC.format(vkq_size=vkq_size, head_size=head_size, type_k=type_k, type_v=type_v))
+
+for kq_acc_t in ["half", "float"]:
+    for cols_per_block in [8, 16, 32]:
+        if kq_acc_t == "float" and cols_per_block == 8:
+            continue
+
+        with open(f"fattn-wmma-f16-instance-kq{kq_acc_t}-cpb{cols_per_block}.cu", "w") as f:
+            f.write(SOURCE_FATTN_WMMA_START)
+
+            for head_size in [64, 80, 96, 112, 128, 256]:
+                if cols_per_block == 8 and head_size % 32 != 0: # wmma fragment is 8x32
+                    continue
+                if kq_acc_t == "float" and cols_per_block == 32 and head_size == 256: # register spilling, bad performance
+                    continue
+                f.write(SOURCE_FATTN_WMMA_CASE.format(kq_acc_t=kq_acc_t, cols_per_block=cols_per_block, head_size=head_size))
diff --git a/ggml-cuda/upscale.cu b/ggml-cuda/upscale.cu
index 2f62fed48..cf513c3ad 100644
--- a/ggml-cuda/upscale.cu
+++ b/ggml-cuda/upscale.cu
@@ -1,35 +1,36 @@
 #include "upscale.cuh"
 
-static __global__ void upscale_f32(const float * x, float * dst, const int ne00, const int ne00xne01, const int scale_factor) {
-    // blockIdx.z: idx of ne02*ne03
-    // blockIdx.y: idx of ne01*scale_factor， aka ne1
-    // blockIDx.x: idx of ne00*scale_factor / BLOCK_SIZE
-    // ne00xne01: ne00 * ne01
-    int ne0 = ne00 * scale_factor;
-    int nidx = threadIdx.x + blockIdx.x * blockDim.x;
-    if (nidx >= ne0) {
+static __global__ void upscale_f32(const float * x, float * dst,
+        const int nb00, const int nb01, const int nb02, const int nb03,
+        const int ne10, const int ne11, const int ne12, const int ne13,
+        const float sf0, const float sf1, const float sf2, const float sf3) {
+    int index = threadIdx.x + blockIdx.x * blockDim.x;
+    if (index >= ne10 * ne11 * ne12 * ne13) {
         return;
     }
-    // operation
-    int i00 = nidx / scale_factor;
-    int i01 = blockIdx.y / scale_factor;
-    int offset_src =
-        i00 +
-        i01 * ne00 +
-        blockIdx.z * ne00xne01;
-    int offset_dst =
-        nidx +
-        blockIdx.y * ne0 +
-        blockIdx.z * ne0 * gridDim.y;
-    dst[offset_dst] = x[offset_src];
+
+    int i10 = index % ne10;
+    int i11 = (index / ne10) % ne11;
+    int i12 = (index / (ne10 * ne11)) % ne12;
+    int i13 = (index / (ne10 * ne11 * ne12)) % ne13;
+
+    int i00 = i10 / sf0;
+    int i01 = i11 / sf1;
+    int i02 = i12 / sf2;
+    int i03 = i13 / sf3;
+
+    dst[index] = *(float *)((char *)x + i03 * nb03 + i02 * nb02 + i01 * nb01 + i00 * nb00);
 }
 
-static void upscale_f32_cuda(const float * x, float * dst, const int ne00, const int ne01, const int ne02, const int ne03,
-                             const int scale_factor, cudaStream_t stream) {
-    int ne0 = (ne00 * scale_factor);
-    int num_blocks = (ne0 + CUDA_UPSCALE_BLOCK_SIZE - 1) / CUDA_UPSCALE_BLOCK_SIZE;
-    dim3 gridDim(num_blocks, (ne01 * scale_factor), ne02*ne03);
-    upscale_f32<<<gridDim, CUDA_UPSCALE_BLOCK_SIZE, 0, stream>>>(x, dst, ne00, ne00 * ne01, scale_factor);
+static void upscale_f32_cuda(const float * x, float * dst,
+        const int nb00, const int nb01, const int nb02, const int nb03,
+        const int ne10, const int ne11, const int ne12, const int ne13,
+        const float sf0, const float sf1, const float sf2, const float sf3,
+        cudaStream_t stream) {
+    int dst_size = ne10 * ne11 * ne12 * ne13;
+    int num_blocks = (dst_size + CUDA_UPSCALE_BLOCK_SIZE - 1) / CUDA_UPSCALE_BLOCK_SIZE;
+
+    upscale_f32<<<num_blocks, CUDA_UPSCALE_BLOCK_SIZE,0,stream>>>(x, dst, nb00, nb01, nb02, nb03, ne10, ne11, ne12, ne13, sf0, sf1, sf2, sf3);
 }
 
 void ggml_cuda_op_upscale(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
@@ -39,10 +40,12 @@ void ggml_cuda_op_upscale(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     cudaStream_t stream = ctx.stream();
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
-    GGML_ASSERT(dst->type == GGML_TYPE_F32);
-    GGML_ASSERT(src0->ne[3] == 1 && dst->ne[3] == 1); // just 3D tensors
+    GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
-    const int scale_factor = dst->op_params[0];
+    const float sf0 = (float)dst->ne[0]/src0->ne[0];
+    const float sf1 = (float)dst->ne[1]/src0->ne[1];
+    const float sf2 = (float)dst->ne[2]/src0->ne[2];
+    const float sf3 = (float)dst->ne[3]/src0->ne[3];
 
-    upscale_f32_cuda(src0_d, dst_d, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], scale_factor, stream);
+    upscale_f32_cuda(src0_d, dst_d, src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], sf0, sf1, sf2, sf3, stream);
 }
diff --git a/ggml-cuda/vecdotq.cuh b/ggml-cuda/vecdotq.cuh
index 86b87fa93..df9752390 100644
--- a/ggml-cuda/vecdotq.cuh
+++ b/ggml-cuda/vecdotq.cuh
@@ -180,8 +180,8 @@ template <int vdr> static __device__ __forceinline__ float vec_dot_q5_1_q8_1_imp
 #define VDR_Q8_0_Q8_1_MMVQ 2
 #define VDR_Q8_0_Q8_1_MMQ 8
 
-template <int vdr> static __device__ __forceinline__ float vec_dot_q8_0_q8_1_impl(
-    const int * v, const int * u, const float & d8_0, const float & d8_1) {
+template <typename T, int vdr> static __device__ __forceinline__ T vec_dot_q8_0_q8_1_impl(
+    const int * v, const int * u, const T & d8_0, const T & d8_1) {
 
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
     int sumi = 0;
@@ -192,7 +192,7 @@ template <int vdr> static __device__ __forceinline__ float vec_dot_q8_0_q8_1_imp
         sumi = __dp4a(v[i], u[i], sumi);
     }
 
-    return d8_0*d8_1 * sumi;
+    return d8_0*d8_1 * ((T) sumi);
 #else
     NO_DEVICE_CODE;
 #endif // __CUDA_ARCH__ >= MIN_CC_DP4A
@@ -656,7 +656,7 @@ static __device__ __forceinline__ float vec_dot_q8_0_q8_1(
         u[i] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
     }
 
-    return vec_dot_q8_0_q8_1_impl<VDR_Q8_0_Q8_1_MMVQ>(v, u, bq8_0->d, __low2half(bq8_1->ds));
+    return vec_dot_q8_0_q8_1_impl<float, VDR_Q8_0_Q8_1_MMVQ>(v, u, bq8_0->d, __low2half(bq8_1->ds));
 }
 
 static __device__ __forceinline__ float vec_dot_q2_K_q8_1(
@@ -712,7 +712,6 @@ static __device__ __forceinline__ float vec_dot_q3_K_q8_1(
 static __device__ __forceinline__ float vec_dot_q4_K_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
 
-#ifndef GGML_QKK_64
     const block_q4_K * bq4_K = (const block_q4_K *) vbq;
 
     int    v[2];
@@ -754,58 +753,11 @@ static __device__ __forceinline__ float vec_dot_q4_K_q8_1(
     }
 
     return vec_dot_q4_K_q8_1_impl_vmmq(v, u, sc, m, bq4_K->dm, d8);
-
-#else
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    const block_q4_K * bq4_K = (const block_q4_K *) vbq;
-
-    float sumf_d = 0.0f;
-    float sumf_m = 0.0f;
-
-    uint16_t aux16[2];
-    const uint8_t * s = (const uint8_t *)aux16;
-
-    const uint16_t * a = (const uint16_t *)bq4_K->scales;
-    aux16[0] = a[0] & 0x0f0f;
-    aux16[1] = (a[0] >> 4) & 0x0f0f;
-
-    const float dall = bq4_K->dm[0];
-    const float dmin = bq4_K->dm[1];
-
-    const float d8_1 = __low2float(bq8_1[0].ds);
-    const float d8_2 = __low2float(bq8_1[1].ds);
-
-    const int ui1 = *((const int *)bq8_1[0].qs + (iqs/2));
-    const int ui2 = *((const int *)bq8_1[0].qs + (iqs/2) + 4);
-    const int ui3 = *((const int *)bq8_1[1].qs + (iqs/2));
-    const int ui4 = *((const int *)bq8_1[1].qs + (iqs/2) + 4);
-
-    const int * q4 = (const int *)bq4_K->qs + (iqs/2);
-    const int v1 = q4[0];
-    const int v2 = q4[4];
-
-    const int dot1 = __dp4a(ui2, v2 & 0x0f0f0f0f, __dp4a(ui1, v1 & 0x0f0f0f0f, 0));
-    const int dot2 = __dp4a(ui4, (v2 >> 4) & 0x0f0f0f0f, __dp4a(ui3, (v1 >> 4) & 0x0f0f0f0f, 0));
-    const int dot3 = __dp4a(0x01010101, ui2, __dp4a(0x01010101, ui1, 0));
-    const int dot4 = __dp4a(0x01010101, ui4, __dp4a(0x01010101, ui3, 0));
-
-    sumf_d += d8_1 * (dot1 * s[0]) + d8_2 * (dot2 * s[1]);
-    sumf_m += d8_1 * (dot3 * s[2]) + d8_2 * (dot4 * s[3]);
-
-    return dall * sumf_d - dmin * sumf_m;
-
-#else
-    NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
-
-#endif
 }
 
 static __device__ __forceinline__ float vec_dot_q5_K_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
 
-#ifndef GGML_QKK_64
     const block_q5_K * bq5_K = (const block_q5_K *) vbq;
 
     int   vl[2];
@@ -847,48 +799,6 @@ static __device__ __forceinline__ float vec_dot_q5_K_q8_1(
     }
 
     return vec_dot_q5_K_q8_1_impl_vmmq(vl, vh, u, sc, m, bq5_K->dm, d8);
-
-#else
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    const block_q5_K * bq5_K = (const block_q5_K *) vbq;
-
-    const int8_t * s = bq5_K->scales;
-
-    const float d = bq5_K->d;
-
-    const float d8_1 = __low2half(bq8_1[0].ds);
-    const float d8_2 = __low2half(bq8_1[1].ds);
-
-    const int ui1 = *((const int *)bq8_1[0].qs + (iqs/2));
-    const int ui2 = *((const int *)bq8_1[0].qs + (iqs/2) + 4);
-    const int ui3 = *((const int *)bq8_1[1].qs + (iqs/2));
-    const int ui4 = *((const int *)bq8_1[1].qs + (iqs/2) + 4);
-
-    const int * ql = (const int *)bq5_K->qs + (iqs/2);
-    const int vl1 = ql[0];
-    const int vl2 = ql[4];
-
-    const int step = 4 * (iqs/2); // 0, 4, 8, 12
-    const int im = step/8; // = 0 for iqs = 0, 2, = 1 for iqs = 4, 6
-    const int in = step%8; // 0, 4, 0, 4
-    const int vh = (*((const int *)(bq5_K->qh + in))) >> im;
-
-    const int v1 = (((vh << 4) & 0x10101010) ^ 0x10101010) | ((vl1 >> 0) & 0x0f0f0f0f);
-    const int v2 = (((vh << 2) & 0x10101010) ^ 0x10101010) | ((vl2 >> 0) & 0x0f0f0f0f);
-    const int v3 = (((vh >> 0) & 0x10101010) ^ 0x10101010) | ((vl1 >> 4) & 0x0f0f0f0f);
-    const int v4 = (((vh >> 2) & 0x10101010) ^ 0x10101010) | ((vl2 >> 4) & 0x0f0f0f0f);
-
-    const float sumf_d = d8_1 * (__dp4a(ui1, v1, 0) * s[0] + __dp4a(ui2, v2, 0) * s[1])
-                       + d8_2 * (__dp4a(ui3, v3, 0) * s[2] + __dp4a(ui4, v4, 0) * s[3]);
-
-    return d * sumf_d;
-
-#else
-    NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
-
-#endif
 }
 
 static __device__ __forceinline__ float vec_dot_q6_K_q8_1(
@@ -919,7 +829,6 @@ static __device__ __forceinline__ float vec_dot_q6_K_q8_1(
 
 static __device__ __forceinline__ float vec_dot_iq2_xxs_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
-#if QK_K == 256
     const block_iq2_xxs * bq2 = (const block_iq2_xxs *) vbq;
 
 #if QR2_XXS == 8
@@ -960,15 +869,11 @@ static __device__ __forceinline__ float vec_dot_iq2_xxs_q8_1(
     }
     return d * (sumi1 + sumi2);
 #endif
-#else
-    NO_DEVICE_CODE;
-#endif
 }
 
 static __device__ __forceinline__ float vec_dot_iq2_xs_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-#if QK_K == 256
     const block_iq2_xs * bq2 = (const block_iq2_xs *) vbq;
 
     const int ib32 = iqs;
@@ -1002,17 +907,12 @@ static __device__ __forceinline__ float vec_dot_iq2_xs_q8_1(
     GGML_UNUSED(ksigns64);
     NO_DEVICE_CODE;
 #endif
-#else
-    GGML_UNUSED(ksigns64);
-    NO_DEVICE_CODE;
-#endif
 }
 
 // TODO
 static __device__ __forceinline__ float vec_dot_iq2_s_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-#if QK_K == 256
     const block_iq2_s * bq2 = (const block_iq2_s *) vbq;
 
     const int ib32 = iqs;
@@ -1048,16 +948,11 @@ static __device__ __forceinline__ float vec_dot_iq2_s_q8_1(
     GGML_UNUSED(ksigns64);
     NO_DEVICE_CODE;
 #endif
-#else
-    GGML_UNUSED(ksigns64);
-    NO_DEVICE_CODE;
-#endif
 }
 
 static __device__ __forceinline__ float vec_dot_iq3_xxs_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-#if QK_K == 256
     const block_iq3_xxs * bq2 = (const block_iq3_xxs *) vbq;
 
     const int ib32 = iqs;
@@ -1082,16 +977,12 @@ static __device__ __forceinline__ float vec_dot_iq3_xxs_q8_1(
 #else
     NO_DEVICE_CODE;
 #endif
-#else
-    NO_DEVICE_CODE;
-#endif
 }
 
 // TODO: don't use lookup table for signs
 static __device__ __forceinline__ float vec_dot_iq3_s_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-#if QK_K == 256
     const block_iq3_s * bq2 = (const block_iq3_s *) vbq;
 
     const int ib32 = iqs;
@@ -1114,14 +1005,10 @@ static __device__ __forceinline__ float vec_dot_iq3_s_q8_1(
 #else
     NO_DEVICE_CODE;
 #endif
-#else
-    NO_DEVICE_CODE;
-#endif
 }
 
 static __device__ __forceinline__ float vec_dot_iq1_s_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
-#if QK_K == 256
     const block_iq1_s * bq1 = (const block_iq1_s *) vbq;
 
     const int ib32 = iqs;
@@ -1149,14 +1036,10 @@ static __device__ __forceinline__ float vec_dot_iq1_s_q8_1(
     const float d = d1q * __low2float (bq8_1[ib32].ds);
     const float m = d1q * __high2float(bq8_1[ib32].ds);
     return d * sumi + m * delta;
-#else
-    NO_DEVICE_CODE;
-#endif
 }
 
 static __device__ __forceinline__ float vec_dot_iq1_m_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
-#if QK_K == 256
     const block_iq1_m * bq1 = (const block_iq1_m *) vbq;
 
     const int ib32 = iqs;
@@ -1192,9 +1075,6 @@ static __device__ __forceinline__ float vec_dot_iq1_m_q8_1(
     scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
     const float d = (float)scale.f16 * __low2float (bq8_1[ib32].ds);
     return d * ((sumi[0] + sumf[0]) * (2*((sc[ib32/2] >> 6*(ib32%2)) & 0x7) + 1) + (sumi[1] + sumf[1]) * (2*((sc[ib32/2] >> (6*(ib32%2)+3)) & 0x7) + 1));
-#else
-    NO_DEVICE_CODE;
-#endif
 }
 
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
@@ -1250,9 +1130,7 @@ static __device__ __forceinline__ float vec_dot_iq4_nl_q8_1(
 static __device__ __forceinline__ float vec_dot_iq4_xs_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
 
-#if QK_K == 256
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-
     const block_iq4_xs * bq4 = (const block_iq4_xs *) vbq;
     const uint8_t * values = (const uint8_t *)kvalues_iq4nl;
 
@@ -1270,10 +1148,6 @@ static __device__ __forceinline__ float vec_dot_iq4_xs_q8_1(
         sumi2 = __dp4a(v2, q8[j+4], sumi2);
     }
     return d * (sumi1 + sumi2);
-
-#else
-    NO_DEVICE_CODE;
-#endif
 #else
     return vec_dot_iq4_xs_q8_1(vbq, bq8_1, iqs);
 #endif
diff --git a/ggml-impl.h b/ggml-impl.h
index d85b152bf..5e77471f3 100644
--- a/ggml-impl.h
+++ b/ggml-impl.h
@@ -17,6 +17,18 @@
 #define MIN(a, b) ((a) < (b) ? (a) : (b))
 #define MAX(a, b) ((a) > (b) ? (a) : (b))
 
+#if defined(_WIN32)
+
+#define m512bh(p) p
+#define m512i(p) p
+
+#else
+
+#define m512bh(p) (__m512bh)(p)
+#define m512i(p) (__m512i)(p)
+
+#endif
+
 /**
  * Converts brain16 to float32.
  *
@@ -120,9 +132,20 @@ extern "C" {
 #ifndef __F16C__
 #define __F16C__
 #endif
+#endif
+
+// __SSE3__ and __SSSE3__ are not defined in MSVC, but SSE3/SSSE3 are present when AVX/AVX2/AVX512 are available
+#if defined(_MSC_VER) && (defined(__AVX__) || defined(__AVX2__) || defined(__AVX512F__))
 #ifndef __SSE3__
 #define __SSE3__
 #endif
+#ifndef __SSSE3__
+#define __SSSE3__
+#endif
+#endif
+
+#if defined(__ARM_FEATURE_SVE)
+#include <arm_sve.h>
 #endif
 
 // 16-bit float
@@ -436,6 +459,34 @@ static inline ggml_fp16_t ggml_compute_fp32_to_fp16(float f) {
 #include <riscv_vector.h>
 #endif
 
+#if defined(__loongarch64)
+#if defined(__loongarch_asx)
+#include <lasxintrin.h>
+#endif
+#if defined(__loongarch_sx)
+#include <lsxintrin.h>
+#endif
+#endif
+
+#if defined(__loongarch_asx)
+
+typedef union {
+    int32_t i;
+    float f;
+} ft_union;
+
+/* float type data load instructions */
+static __m128 __lsx_vreplfr2vr_s(float val) {
+    ft_union fi_tmpval = {.f = val};
+    return (__m128)__lsx_vreplgr2vr_w(fi_tmpval.i);
+}
+
+static __m256 __lasx_xvreplfr2vr_s(float val) {
+    ft_union fi_tmpval = {.f = val};
+    return (__m256)__lasx_xvreplgr2vr_w(fi_tmpval.i);
+}
+#endif
+
 #ifdef __F16C__
 
 #ifdef _MSC_VER
diff --git a/ggml-kompute.cpp b/ggml-kompute.cpp
index 3f033d58b..5592741be 100644
--- a/ggml-kompute.cpp
+++ b/ggml-kompute.cpp
@@ -22,6 +22,7 @@
 #include "shaderop_mul_mat_q4_1.h"
 #include "shaderop_mul_mat_q6_k.h"
 #include "shaderop_mul_mat_mat_f32.h"
+#include "shaderop_getrows_f32.h"
 #include "shaderop_getrows_f16.h"
 #include "shaderop_getrows_q4_0.h"
 #include "shaderop_getrows_q4_1.h"
@@ -1146,6 +1147,14 @@ static void ggml_vk_get_rows(
     seq.record<kp::OpAlgoDispatch>(s_algo);
 }
 
+template <typename... Args>
+static void ggml_vk_get_rows_f32(Args&&... args) {
+    const static auto spirv = getSpirvShader(kp::shader_data::op_getrows_f32_comp_spv,
+        kp::shader_data::op_getrows_f32_comp_spv_len);
+
+    ggml_vk_get_rows(spirv, "f32", sizeof(float), 0, std::forward<Args>(args)...);
+}
+
 template <typename... Args>
 static void ggml_vk_get_rows_f16(Args&&... args) {
     const static auto spirv = getSpirvShader(kp::shader_data::op_getrows_f16_comp_spv,
@@ -1183,7 +1192,7 @@ static void ggml_vk_rope(
     const std::shared_ptr<kp::Tensor>& inB,
     const std::shared_ptr<kp::Tensor>& out,
     uint32_t inAOff, uint32_t inBOff, uint32_t outOff,
-    ggml_type src0t, int32_t n_dims, int32_t mode, int32_t n_orig_ctx,
+    ggml_type src0t, int32_t n_dims, int32_t mode, int32_t n_ctx_orig,
     float freq_base, float freq_scale, float ext_factor, float attn_factor, float beta_fast, float beta_slow,
     int32_t ne01, int32_t ne02, int32_t ne03,
     uint32_t nb00, uint32_t nb01, uint32_t nb02, uint32_t nb03,
@@ -1212,14 +1221,14 @@ static void ggml_vk_rope(
 
     struct PushConstants {
         uint32_t inAOff, inBOff, outOff;
-        int32_t n_dims, mode, n_orig_ctx;
+        int32_t n_dims, mode, n_ctx_orig;
         float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
         uint32_t nb00, nb01, nb02, nb03;
         int32_t ne0;
         uint32_t nb0, nb1, nb2, nb3;
     } pushConsts {
         safe_divide(inAOff, type_size), safe_divide(inBOff, 4), safe_divide(outOff, type_size),
-        n_dims, mode, n_orig_ctx,
+        n_dims, mode, n_ctx_orig,
         freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow,
         nb00, nb01, nb02, nb03,
         ne0,
@@ -1371,6 +1380,7 @@ static bool ggml_vk_supports_op(const struct ggml_tensor * op) {
             return op->ne[3] == 1;
         case GGML_OP_GET_ROWS:
             switch (op->src[0]->type) {
+                case GGML_TYPE_F32:
                 case GGML_TYPE_F16:
                 case GGML_TYPE_Q4_0:
                 case GGML_TYPE_Q4_1:
@@ -1597,7 +1607,6 @@ static void ggml_vk_graph_compute(struct ggml_kompute_context * ctx, struct ggml
                     {
                         GGML_ASSERT(ne00 == ne10);
 
-                        // TODO: assert that dim2 and dim3 are contiguous
                         GGML_ASSERT(ne12 % ne02 == 0);
                         GGML_ASSERT(ne13 % ne03 == 0);
 
@@ -1662,7 +1671,9 @@ static void ggml_vk_graph_compute(struct ggml_kompute_context * ctx, struct ggml
                     } break;
                 case GGML_OP_GET_ROWS:
                     {
-                        if (src0t == GGML_TYPE_F16) {
+                        if (src0t == GGML_TYPE_F32) {
+                            ggml_vk_get_rows_f32(seq, id_src0, id_src1, id_dst, off_src0, off_src1, off_dst, ne00, nb01, nb1, ggml_nelements(src1));
+                        } else if (src0t == GGML_TYPE_F16) {
                             ggml_vk_get_rows_f16(seq, id_src0, id_src1, id_dst, off_src0, off_src1, off_dst, ne00, nb01, nb1, ggml_nelements(src1));
                         } else if (src0t == GGML_TYPE_Q4_0) {
                             ggml_vk_get_rows_q4_0(seq, id_src0, id_src1, id_dst, off_src0, off_src1, off_dst, ne00, nb01, nb1, ggml_nelements(src1));
@@ -1677,13 +1688,20 @@ static void ggml_vk_graph_compute(struct ggml_kompute_context * ctx, struct ggml
                     } break;
                 case GGML_OP_ROPE:
                     {
+#pragma message("TODO: implement phi3 frequency factors support")
+#pragma message("      https://github.com/ggerganov/llama.cpp/pull/7225")
+                        GGML_ASSERT(dst->src[2] == nullptr && "phi3 frequency factors not implemented yet");
+
+#pragma message("TODO: update rope NORM mode to match NEOX mode")
+#pragma message("      https://github.com/ggerganov/llama.cpp/pull/7634")
+
                         GGML_ASSERT(ne10 == ne02);
                         GGML_ASSERT(src0t == dstt);
                         // const int n_past = ((int32_t *) dst->op_params)[0];
                         const int n_dims     = ((int32_t *) dst->op_params)[1];
                         const int mode       = ((int32_t *) dst->op_params)[2];
                         // skip 3, n_ctx used in GLM RoPE, unimplemented in Vulkan
-                        const int n_orig_ctx = ((int32_t *) dst->op_params)[4];
+                        const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
 
                         float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
                         memcpy(&freq_base,   (int32_t *) dst->op_params +  5, sizeof(float));
@@ -1693,7 +1711,7 @@ static void ggml_vk_graph_compute(struct ggml_kompute_context * ctx, struct ggml
                         memcpy(&beta_fast,   (int32_t *) dst->op_params +  9, sizeof(float));
                         memcpy(&beta_slow,   (int32_t *) dst->op_params + 10, sizeof(float));
                         ggml_vk_rope(
-                            seq, id_src0, id_src1, id_dst, off_src0, off_src1, off_dst, src0t, n_dims, mode, n_orig_ctx,
+                            seq, id_src0, id_src1, id_dst, off_src0, off_src1, off_dst, src0t, n_dims, mode, n_ctx_orig,
                             freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow,
                             ne01, ne02, ne03, nb00, nb01, nb02, nb03, ne0, nb0, nb1, nb2, nb3
                         );
diff --git a/ggml-metal.h b/ggml-metal.h
index a5c542189..e7543ae79 100644
--- a/ggml-metal.h
+++ b/ggml-metal.h
@@ -1,7 +1,7 @@
 // An interface allowing to compute ggml_cgraph with Metal
 //
 // This is a fully functional interface that extends ggml with GPU support for Apple devices.
-// A similar interface can be created for other GPU backends (e.g. Vulkan, CUDA, OpenCL, etc.)
+// A similar interface can be created for other GPU backends (e.g. Vulkan, CUDA, etc.)
 //
 // How it works?
 //
diff --git a/ggml-metal.m b/ggml-metal.m
index 28dec762a..946f11813 100644
--- a/ggml-metal.m
+++ b/ggml-metal.m
@@ -35,6 +35,10 @@ enum ggml_metal_kernel_type {
     GGML_METAL_KERNEL_TYPE_MUL_ROW,
     GGML_METAL_KERNEL_TYPE_DIV,
     GGML_METAL_KERNEL_TYPE_DIV_ROW,
+    GGML_METAL_KERNEL_TYPE_REPEAT_F32,
+    GGML_METAL_KERNEL_TYPE_REPEAT_F16,
+    GGML_METAL_KERNEL_TYPE_REPEAT_I32,
+    GGML_METAL_KERNEL_TYPE_REPEAT_I16,
     GGML_METAL_KERNEL_TYPE_SCALE,
     GGML_METAL_KERNEL_TYPE_SCALE_4,
     GGML_METAL_KERNEL_TYPE_CLAMP,
@@ -168,8 +172,10 @@ enum ggml_metal_kernel_type {
     GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ1_M_F32,
     GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ4_NL_F32,
     GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ4_XS_F32,
-    GGML_METAL_KERNEL_TYPE_ROPE_F32,
-    GGML_METAL_KERNEL_TYPE_ROPE_F16,
+    GGML_METAL_KERNEL_TYPE_ROPE_NORM_F32,
+    GGML_METAL_KERNEL_TYPE_ROPE_NORM_F16,
+    GGML_METAL_KERNEL_TYPE_ROPE_NEOX_F32,
+    GGML_METAL_KERNEL_TYPE_ROPE_NEOX_F16,
     GGML_METAL_KERNEL_TYPE_IM2COL_F16,
     GGML_METAL_KERNEL_TYPE_IM2COL_F32,
     GGML_METAL_KERNEL_TYPE_UPSCALE_F32,
@@ -184,9 +190,9 @@ enum ggml_metal_kernel_type {
     GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H96,
     GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H112,
     GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H128,
-    GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H256,
+  //GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H256,     // https://github.com/ggerganov/llama.cpp/issues/7261
     GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_VEC_F16_H128,
-    GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_VEC_F16_H256,
+  //GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_VEC_F16_H256, // https://github.com/ggerganov/llama.cpp/issues/7261
     GGML_METAL_KERNEL_TYPE_CPY_F32_F16,
     GGML_METAL_KERNEL_TYPE_CPY_F32_F32,
     GGML_METAL_KERNEL_TYPE_CPY_F32_Q8_0,
@@ -381,10 +387,6 @@ static struct ggml_metal_context * ggml_metal_init(int n_cb) {
                 // dictionary of preprocessor macros
                 NSMutableDictionary * prep = [NSMutableDictionary dictionary];
 
-#ifdef GGML_QKK_64
-                prep[@"GGML_QKK_64"] = @(1);
-#endif
-
                 MTLCompileOptions* options = [MTLCompileOptions new];
                 options.preprocessorMacros = prep;
 
@@ -489,6 +491,10 @@ static struct ggml_metal_context * ggml_metal_init(int n_cb) {
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_MUL_ROW,                       mul_row,                        true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_DIV,                           div,                            true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_DIV_ROW,                       div_row,                        true);
+        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_REPEAT_F32,                    repeat_f32,                     true);
+        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_REPEAT_F16,                    repeat_f16,                     true);
+        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_REPEAT_I32,                    repeat_i32,                     true);
+        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_REPEAT_I16,                    repeat_i16,                     true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_SCALE,                         scale,                          true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_SCALE_4,                       scale_4,                        true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_CLAMP,                         clamp,                          true);
@@ -622,8 +628,10 @@ static struct ggml_metal_context * ggml_metal_init(int n_cb) {
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ1_M_F32,           mul_mm_id_iq1_m_f32,            ctx->support_simdgroup_mm);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ4_NL_F32,          mul_mm_id_iq4_nl_f32,           ctx->support_simdgroup_mm);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ4_XS_F32,          mul_mm_id_iq4_xs_f32,           ctx->support_simdgroup_mm);
-        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ROPE_F32,                      rope_f32,                       true);
-        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ROPE_F16,                      rope_f16,                       true);
+        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ROPE_NORM_F32,                 rope_norm_f32,                  true);
+        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ROPE_NORM_F16,                 rope_norm_f16,                  true);
+        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ROPE_NEOX_F32,                 rope_neox_f32,                  true);
+        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ROPE_NEOX_F16,                 rope_neox_f16,                  true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_IM2COL_F16,                    im2col_f16,                     true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_IM2COL_F32,                    im2col_f32,                     true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_UPSCALE_F32,                   upscale_f32,                    true);
@@ -638,9 +646,9 @@ static struct ggml_metal_context * ggml_metal_init(int n_cb) {
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H96,        flash_attn_ext_f16_h96,         ctx->support_simdgroup_mm);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H112,       flash_attn_ext_f16_h112,        ctx->support_simdgroup_mm);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H128,       flash_attn_ext_f16_h128,        ctx->support_simdgroup_mm);
-        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H256,       flash_attn_ext_f16_h256,        ctx->support_simdgroup_mm);
+      //GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H256,       flash_attn_ext_f16_h256,        ctx->support_simdgroup_mm);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_VEC_F16_H128,   flash_attn_ext_vec_f16_h128,    ctx->support_simdgroup_reduction);
-        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_VEC_F16_H256,   flash_attn_ext_vec_f16_h256,    ctx->support_simdgroup_reduction);
+      //GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_VEC_F16_H256,   flash_attn_ext_vec_f16_h256,    ctx->support_simdgroup_reduction);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_CPY_F32_F16,                   cpy_f32_f16,                    true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_CPY_F32_F32,                   cpy_f32_f32,                    true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_CPY_F32_Q8_0,                  cpy_f32_q8_0,                   true);
@@ -750,6 +758,7 @@ static bool ggml_metal_supports_op(const struct ggml_metal_context * ctx, const
         case GGML_OP_ACC:
         case GGML_OP_MUL:
         case GGML_OP_DIV:
+        case GGML_OP_REPEAT:
         case GGML_OP_SCALE:
         case GGML_OP_CLAMP:
         case GGML_OP_SQR:
@@ -774,6 +783,15 @@ static bool ggml_metal_supports_op(const struct ggml_metal_context * ctx, const
         case GGML_OP_LEAKY_RELU:
             return true;
         case GGML_OP_FLASH_ATTN_EXT:
+            if (op->src[1]->type != GGML_TYPE_F16) {
+                return false;
+            }
+            if (op->src[2]->type != GGML_TYPE_F16) {
+                return false;
+            }
+            if (op->src[0]->ne[0] == 256) {
+                return false;
+            }
             return ctx->support_simdgroup_mm; // TODO: over-restricted for vec-kernels
         case GGML_OP_MUL_MAT:
         case GGML_OP_MUL_MAT_ID:
@@ -927,22 +945,32 @@ static enum ggml_status ggml_metal_graph_compute(
             const int64_t  ne10 = src1 ? src1->ne[0] : 0;
             const int64_t  ne11 = src1 ? src1->ne[1] : 0;
             const int64_t  ne12 = src1 ? src1->ne[2] : 0;
-            const int64_t  ne13 = src1 ? src1->ne[3] : 0; UNUSED(ne13);
+            const int64_t  ne13 = src1 ? src1->ne[3] : 0;
 
             const uint64_t nb10 = src1 ? src1->nb[0] : 0;
             const uint64_t nb11 = src1 ? src1->nb[1] : 0;
             const uint64_t nb12 = src1 ? src1->nb[2] : 0;
-            const uint64_t nb13 = src1 ? src1->nb[3] : 0; UNUSED(nb13);
+            const uint64_t nb13 = src1 ? src1->nb[3] : 0;
 
-            const int64_t  ne0  = dst ? dst->ne[0] : 0;
-            const int64_t  ne1  = dst ? dst->ne[1] : 0;
-            const int64_t  ne2  = dst ? dst->ne[2] : 0;
-            const int64_t  ne3  = dst ? dst->ne[3] : 0;
+            const int64_t  ne20 = src2 ? src2->ne[0] : 0;
+            const int64_t  ne21 = src2 ? src2->ne[1] : 0;
+            const int64_t  ne22 = src2 ? src2->ne[2] : 0; GGML_UNUSED(ne22);
+            const int64_t  ne23 = src2 ? src2->ne[3] : 0; GGML_UNUSED(ne23);
 
-            const uint64_t nb0  = dst ? dst->nb[0] : 0;
-            const uint64_t nb1  = dst ? dst->nb[1] : 0;
-            const uint64_t nb2  = dst ? dst->nb[2] : 0;
-            const uint64_t nb3  = dst ? dst->nb[3] : 0;
+            const uint64_t nb20 = src2 ? src2->nb[0] : 0; GGML_UNUSED(nb20);
+            const uint64_t nb21 = src2 ? src2->nb[1] : 0;
+            const uint64_t nb22 = src2 ? src2->nb[2] : 0;
+            const uint64_t nb23 = src2 ? src2->nb[3] : 0;
+
+            const int64_t  ne0  =  dst ?  dst->ne[0] : 0;
+            const int64_t  ne1  =  dst ?  dst->ne[1] : 0;
+            const int64_t  ne2  =  dst ?  dst->ne[2] : 0;
+            const int64_t  ne3  =  dst ?  dst->ne[3] : 0;
+
+            const uint64_t nb0  =  dst ?  dst->nb[0] : 0;
+            const uint64_t nb1  =  dst ?  dst->nb[1] : 0;
+            const uint64_t nb2  =  dst ?  dst->nb[2] : 0;
+            const uint64_t nb3  =  dst ?  dst->nb[3] : 0;
 
             const enum ggml_type src0t = src0 ? src0->type : GGML_TYPE_COUNT;
             const enum ggml_type src1t = src1 ? src1->type : GGML_TYPE_COUNT;
@@ -970,10 +998,10 @@ static enum ggml_status ggml_metal_graph_compute(
             switch (dst->op) {
                 case GGML_OP_CONCAT:
                     {
-                        const int64_t nb = ne00;
-
                         id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_CONCAT].pipeline;
 
+                        const int32_t dim = ((int32_t *) dst->op_params)[0];
+
                         [encoder setComputePipelineState:pipeline];
                         [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
                         [encoder setBuffer:id_src1 offset:offs_src1 atIndex:1];
@@ -1002,7 +1030,7 @@ static enum ggml_status ggml_metal_graph_compute(
                         [encoder setBytes:&nb1  length:sizeof(nb1)  atIndex:24];
                         [encoder setBytes:&nb2  length:sizeof(nb2)  atIndex:25];
                         [encoder setBytes:&nb3  length:sizeof(nb3)  atIndex:26];
-                        [encoder setBytes:&nb   length:sizeof(nb)   atIndex:27];
+                        [encoder setBytes:&dim  length:sizeof(dim)  atIndex:27];
 
                         const int nth = MIN(1024, ne0);
 
@@ -1012,11 +1040,14 @@ static enum ggml_status ggml_metal_graph_compute(
                 case GGML_OP_MUL:
                 case GGML_OP_DIV:
                     {
+                        GGML_ASSERT(src0t == GGML_TYPE_F32);
+                        GGML_ASSERT(src1t == GGML_TYPE_F32);
+
                         const size_t offs = 0;
 
                         bool bcast_row = false;
 
-                        int64_t nb = ne00;
+                        int64_t nb = ne00; // used by the "row" kernels
 
                         id<MTLComputePipelineState> pipeline = nil;
 
@@ -1085,6 +1116,42 @@ static enum ggml_status ggml_metal_graph_compute(
                             [encoder dispatchThreadgroups:MTLSizeMake(ne01, ne02, ne03) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)];
                         }
                     } break;
+                case GGML_OP_REPEAT:
+                    {
+                        id<MTLComputePipelineState> pipeline;
+
+                        switch (src0t) {
+                            case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_REPEAT_F32].pipeline; break;
+                            case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_REPEAT_F16].pipeline; break;
+                            case GGML_TYPE_I32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_REPEAT_I32].pipeline; break;
+                            case GGML_TYPE_I16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_REPEAT_I16].pipeline; break;
+                            default: GGML_ASSERT(false);
+                        }
+
+                        [encoder setComputePipelineState:pipeline];
+                        [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
+                        [encoder setBuffer:id_dst  offset:offs_dst  atIndex:1];
+                        [encoder setBytes:&ne00 length:sizeof(ne00) atIndex:2];
+                        [encoder setBytes:&ne01 length:sizeof(ne01) atIndex:3];
+                        [encoder setBytes:&ne02 length:sizeof(ne02) atIndex:4];
+                        [encoder setBytes:&ne03 length:sizeof(ne03) atIndex:5];
+                        [encoder setBytes:&nb00 length:sizeof(nb00) atIndex:6];
+                        [encoder setBytes:&nb01 length:sizeof(nb01) atIndex:7];
+                        [encoder setBytes:&nb02 length:sizeof(nb02) atIndex:8];
+                        [encoder setBytes:&nb03 length:sizeof(nb03) atIndex:9];
+                        [encoder setBytes:&ne0  length:sizeof(ne0)  atIndex:10];
+                        [encoder setBytes:&ne1  length:sizeof(ne1)  atIndex:11];
+                        [encoder setBytes:&ne2  length:sizeof(ne2)  atIndex:12];
+                        [encoder setBytes:&ne3  length:sizeof(ne3)  atIndex:13];
+                        [encoder setBytes:&nb0  length:sizeof(nb0)  atIndex:14];
+                        [encoder setBytes:&nb1  length:sizeof(nb1)  atIndex:15];
+                        [encoder setBytes:&nb2  length:sizeof(nb2)  atIndex:16];
+                        [encoder setBytes:&nb3  length:sizeof(nb3)  atIndex:17];
+
+                        const int nth = MIN((int) pipeline.maxTotalThreadsPerThreadgroup, ne0);
+
+                        [encoder dispatchThreadgroups:MTLSizeMake(ne1, ne2, ne3) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)];
+                    } break;
                 case GGML_OP_ACC:
                     {
                         GGML_ASSERT(src0t == GGML_TYPE_F32);
@@ -1378,7 +1445,7 @@ static enum ggml_status ggml_metal_graph_compute(
                         const bool use_f16 = (src1 && src1->type == GGML_TYPE_F16);
 
                         if (ne00%4 == 0) {
-                            while (nth < ne00/4 && nth < 256) {
+                            while (nth < ne00/4 && nth*ne01*ne02*ne03 < 256) {
                                 nth *= 2;
                             }
                             if (use_f16) {
@@ -1387,7 +1454,7 @@ static enum ggml_status ggml_metal_graph_compute(
                                 pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_SOFT_MAX_F32_4].pipeline;
                             }
                         } else {
-                            while (nth < ne00 && nth < 1024) {
+                            while (nth < ne00 && nth*ne01*ne02*ne03 < 256) {
                                 nth *= 2;
                             }
                             if (use_f16) {
@@ -1462,7 +1529,6 @@ static enum ggml_status ggml_metal_graph_compute(
                     {
                         GGML_ASSERT(ne00 == ne10);
 
-                        // TODO: assert that dim2 and dim3 are contiguous
                         GGML_ASSERT(ne12 % ne02 == 0);
                         GGML_ASSERT(ne13 % ne03 == 0);
 
@@ -1763,11 +1829,7 @@ static enum ggml_status ggml_metal_graph_compute(
                                 [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 3)/4, ne11, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)];
                             }
                             else if (src0t == GGML_TYPE_Q3_K) {
-#ifdef GGML_QKK_64
-                                [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 1)/2, ne11, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)];
-#else
                                 [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 3)/4, ne11, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)];
-#endif
                             }
                             else if (src0t == GGML_TYPE_Q5_K) {
                                 [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 3)/4, ne11, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)];
@@ -1785,16 +1847,6 @@ static enum ggml_status ggml_metal_graph_compute(
                         const int n_as = src0->ne[2];
 
                         // src2 = ids
-                        const int64_t  ne20 = src2->ne[0];
-                        const int64_t  ne21 = src2->ne[1];
-                        const int64_t  ne22 = src2->ne[2]; GGML_UNUSED(ne22);
-                        const int64_t  ne23 = src2->ne[3]; GGML_UNUSED(ne23);
-
-                        const uint64_t nb20 = src2->nb[0]; GGML_UNUSED(nb20);
-                        const uint64_t nb21 = src2->nb[1];
-                        const uint64_t nb22 = src2->nb[2]; GGML_UNUSED(nb22);
-                        const uint64_t nb23 = src2->nb[3]; GGML_UNUSED(nb23);
-
                         const enum ggml_type src2t = src2->type; GGML_UNUSED(src2t);
 
                         GGML_ASSERT(src2t == GGML_TYPE_I32);
@@ -2018,12 +2070,7 @@ static enum ggml_status ggml_metal_graph_compute(
                                     {
                                         nth0 = 4;
                                         nth1 = 16;
-                                    #if QK_K == 64
-                                        pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_IQ4_NL_F32].pipeline;
-                                    #else
                                         pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_IQ4_XS_F32].pipeline;
-                                    #endif
-
                                     } break;
                                 default:
                                     {
@@ -2088,11 +2135,7 @@ static enum ggml_status ggml_metal_graph_compute(
                                 [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 3)/4, _ne1, tgz) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)];
                             }
                             else if (src0t == GGML_TYPE_Q3_K) {
-#ifdef GGML_QKK_64
-                                [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 1)/2, _ne1, tgz) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)];
-#else
                                 [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 3)/4, _ne1, tgz) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)];
-#endif
                             }
                             else if (src0t == GGML_TYPE_Q5_K) {
                                 [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 3)/4, _ne1, tgz) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)];
@@ -2153,6 +2196,7 @@ static enum ggml_status ggml_metal_graph_compute(
                 case GGML_OP_RMS_NORM:
                     {
                         GGML_ASSERT(ne00 % 4 == 0);
+                        GGML_ASSERT(ggml_is_contiguous_1(src0));
 
                         float eps;
                         memcpy(&eps, dst->op_params, sizeof(float));
@@ -2180,6 +2224,7 @@ static enum ggml_status ggml_metal_graph_compute(
                 case GGML_OP_GROUP_NORM:
                     {
                         GGML_ASSERT(ne00 % 4 == 0);
+                        GGML_ASSERT(ggml_is_contiguous(src0));
 
                         //float eps;
                         //memcpy(&eps, dst->op_params, sizeof(float));
@@ -2213,6 +2258,8 @@ static enum ggml_status ggml_metal_graph_compute(
                     } break;
                 case GGML_OP_NORM:
                     {
+                        GGML_ASSERT(ggml_is_contiguous_1(src0));
+
                         float eps;
                         memcpy(&eps, dst->op_params, sizeof(float));
 
@@ -2242,9 +2289,15 @@ static enum ggml_status ggml_metal_graph_compute(
                         const int n_dims     = ((int32_t *) dst->op_params)[1];
                         const int mode       = ((int32_t *) dst->op_params)[2];
                         // skip 3, n_ctx, used in GLM RoPE, unimplemented in metal
-                        const int n_orig_ctx = ((int32_t *) dst->op_params)[4];
+                        const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
+
+                        float freq_base;
+                        float freq_scale;
+                        float ext_factor;
+                        float attn_factor;
+                        float beta_fast;
+                        float beta_slow;
 
-                        float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
                         memcpy(&freq_base,   (int32_t *) dst->op_params +  5, sizeof(float));
                         memcpy(&freq_scale,  (int32_t *) dst->op_params +  6, sizeof(float));
                         memcpy(&ext_factor,  (int32_t *) dst->op_params +  7, sizeof(float));
@@ -2252,38 +2305,52 @@ static enum ggml_status ggml_metal_graph_compute(
                         memcpy(&beta_fast,   (int32_t *) dst->op_params +  9, sizeof(float));
                         memcpy(&beta_slow,   (int32_t *) dst->op_params + 10, sizeof(float));
 
+                        const bool is_neox = mode & 2;
+
                         id<MTLComputePipelineState> pipeline = nil;
 
-                        switch (src0->type) {
-                            case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_F32].pipeline; break;
-                            case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_F16].pipeline; break;
-                            default: GGML_ASSERT(false);
-                        };
+                        if (!is_neox) {
+                            switch (src0->type) {
+                                case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_NORM_F32].pipeline; break;
+                                case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_NORM_F16].pipeline; break;
+                                default: GGML_ASSERT(false);
+                            };
+                        } else {
+                            switch (src0->type) {
+                                case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_NEOX_F32].pipeline; break;
+                                case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_NEOX_F16].pipeline; break;
+                                default: GGML_ASSERT(false);
+                            };
+                        }
 
                         [encoder setComputePipelineState:pipeline];
                         [encoder setBuffer:id_src0     offset:offs_src0        atIndex:0];
                         [encoder setBuffer:id_src1     offset:offs_src1        atIndex:1];
-                        [encoder setBuffer:id_dst      offset:offs_dst         atIndex:2];
-                        [encoder setBytes:&ne00        length:sizeof( int64_t) atIndex:3];
-                        [encoder setBytes:&ne01        length:sizeof( int64_t) atIndex:4];
-                        [encoder setBytes:&ne02        length:sizeof( int64_t) atIndex:5];
-                        [encoder setBytes:&ne03        length:sizeof( int64_t) atIndex:6];
-                        [encoder setBytes:&nb00        length:sizeof(uint64_t) atIndex:7];
-                        [encoder setBytes:&nb01        length:sizeof(uint64_t) atIndex:8];
-                        [encoder setBytes:&nb02        length:sizeof(uint64_t) atIndex:9];
-                        [encoder setBytes:&nb03        length:sizeof(uint64_t) atIndex:10];
-                        [encoder setBytes:&ne0         length:sizeof( int64_t) atIndex:11];
-                        [encoder setBytes:&ne1         length:sizeof( int64_t) atIndex:12];
-                        [encoder setBytes:&ne2         length:sizeof( int64_t) atIndex:13];
-                        [encoder setBytes:&ne3         length:sizeof( int64_t) atIndex:14];
-                        [encoder setBytes:&nb0         length:sizeof(uint64_t) atIndex:15];
-                        [encoder setBytes:&nb1         length:sizeof(uint64_t) atIndex:16];
-                        [encoder setBytes:&nb2         length:sizeof(uint64_t) atIndex:17];
-                        [encoder setBytes:&nb3         length:sizeof(uint64_t) atIndex:18];
-                        [encoder setBytes:&n_past      length:sizeof(     int) atIndex:19];
-                        [encoder setBytes:&n_dims      length:sizeof(     int) atIndex:20];
-                        [encoder setBytes:&mode        length:sizeof(     int) atIndex:21];
-                        [encoder setBytes:&n_orig_ctx  length:sizeof(     int) atIndex:22];
+                        if (id_src2 != nil) {
+                            [encoder setBuffer:id_src2 offset:offs_src2        atIndex:2];
+                        } else {
+                            [encoder setBuffer:id_src0 offset:offs_src0        atIndex:2];
+                        }
+                        [encoder setBuffer:id_dst      offset:offs_dst         atIndex:3];
+                        [encoder setBytes:&ne00        length:sizeof( int64_t) atIndex:4];
+                        [encoder setBytes:&ne01        length:sizeof( int64_t) atIndex:5];
+                        [encoder setBytes:&ne02        length:sizeof( int64_t) atIndex:6];
+                        [encoder setBytes:&ne03        length:sizeof( int64_t) atIndex:7];
+                        [encoder setBytes:&nb00        length:sizeof(uint64_t) atIndex:8];
+                        [encoder setBytes:&nb01        length:sizeof(uint64_t) atIndex:9];
+                        [encoder setBytes:&nb02        length:sizeof(uint64_t) atIndex:10];
+                        [encoder setBytes:&nb03        length:sizeof(uint64_t) atIndex:11];
+                        [encoder setBytes:&ne0         length:sizeof( int64_t) atIndex:12];
+                        [encoder setBytes:&ne1         length:sizeof( int64_t) atIndex:13];
+                        [encoder setBytes:&ne2         length:sizeof( int64_t) atIndex:14];
+                        [encoder setBytes:&ne3         length:sizeof( int64_t) atIndex:15];
+                        [encoder setBytes:&nb0         length:sizeof(uint64_t) atIndex:16];
+                        [encoder setBytes:&nb1         length:sizeof(uint64_t) atIndex:17];
+                        [encoder setBytes:&nb2         length:sizeof(uint64_t) atIndex:18];
+                        [encoder setBytes:&nb3         length:sizeof(uint64_t) atIndex:19];
+                        [encoder setBytes:&n_past      length:sizeof(     int) atIndex:20];
+                        [encoder setBytes:&n_dims      length:sizeof(     int) atIndex:21];
+                        [encoder setBytes:&n_ctx_orig  length:sizeof(     int) atIndex:22];
                         [encoder setBytes:&freq_base   length:sizeof(   float) atIndex:23];
                         [encoder setBytes:&freq_scale  length:sizeof(   float) atIndex:24];
                         [encoder setBytes:&ext_factor  length:sizeof(   float) atIndex:25];
@@ -2353,7 +2420,10 @@ static enum ggml_status ggml_metal_graph_compute(
                     {
                         GGML_ASSERT(src0->type == GGML_TYPE_F32);
 
-                        const int sf = dst->op_params[0];
+                        const float sf0 = (float)ne0/src0->ne[0];
+                        const float sf1 = (float)ne1/src0->ne[1];
+                        const float sf2 = (float)ne2/src0->ne[2];
+                        const float sf3 = (float)ne3/src0->ne[3];
 
                         const id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_UPSCALE_F32].pipeline;
 
@@ -2376,7 +2446,10 @@ static enum ggml_status ggml_metal_graph_compute(
                         [encoder setBytes:&nb1  length:sizeof(nb1)  atIndex:15];
                         [encoder setBytes:&nb2  length:sizeof(nb2)  atIndex:16];
                         [encoder setBytes:&nb3  length:sizeof(nb3)  atIndex:17];
-                        [encoder setBytes:&sf   length:sizeof(sf)   atIndex:18];
+                        [encoder setBytes:&sf0  length:sizeof(sf0)  atIndex:18];
+                        [encoder setBytes:&sf1  length:sizeof(sf1)  atIndex:19];
+                        [encoder setBytes:&sf2  length:sizeof(sf2)  atIndex:20];
+                        [encoder setBytes:&sf3  length:sizeof(sf3)  atIndex:21];
 
                         const int nth = MIN((int) pipeline.maxTotalThreadsPerThreadgroup, ne0);
 
@@ -2512,13 +2585,14 @@ static enum ggml_status ggml_metal_graph_compute(
                     } break;
                 case GGML_OP_FLASH_ATTN_EXT:
                     {
-                        GGML_ASSERT(ne00 % 4 == 0);
+                        GGML_ASSERT(ne00 % 4  == 0);
+                        GGML_ASSERT(ne11 % 32 == 0);
+
                         GGML_ASSERT(src0->type == GGML_TYPE_F32);
 
-                        struct ggml_tensor * src3 = gf->nodes[i]->src[3];
+                        GGML_ASSERT(ggml_are_same_shape (src1, src2));
 
-                        GGML_ASSERT(ggml_are_same_shape(src1, src2));
-                        GGML_ASSERT(src3);
+                        struct ggml_tensor * src3 = gf->nodes[i]->src[3];
 
                         size_t offs_src3 = 0;
 
@@ -2563,7 +2637,7 @@ static enum ggml_status ggml_metal_graph_compute(
                                 case 96:  pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H96 ].pipeline; break;
                                 case 112: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H112].pipeline; break;
                                 case 128: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H128].pipeline; break;
-                                case 256: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H256].pipeline; break;
+                              //case 256: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H256].pipeline; break;
                                 default:
                                           {
                                               GGML_METAL_LOG_ERROR("unsupported size: %lld\n", ne00);
@@ -2576,7 +2650,7 @@ static enum ggml_status ggml_metal_graph_compute(
 
                             switch (ne00) {
                                 case 128: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_VEC_F16_H128].pipeline; break;
-                                case 256: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_VEC_F16_H256].pipeline; break;
+                              //case 256: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_VEC_F16_H256].pipeline; break;
                                 default:
                                           {
                                               GGML_METAL_LOG_ERROR("unsupported size: %lld\n", ne00);
@@ -2590,34 +2664,35 @@ static enum ggml_status ggml_metal_graph_compute(
                         [encoder setBuffer:id_src0     offset:offs_src0           atIndex:0];
                         [encoder setBuffer:id_src1     offset:offs_src1           atIndex:1];
                         [encoder setBuffer:id_src2     offset:offs_src2           atIndex:2];
-                        [encoder setBuffer:id_src3     offset:offs_src3           atIndex:3];
+                        if (id_src3) {
+                            [encoder setBuffer:id_src3     offset:offs_src3           atIndex:3];
+                        } else {
+                            [encoder setBuffer:id_src0     offset:offs_src0           atIndex:3];
+                        }
                         [encoder setBuffer:id_dst      offset:offs_dst            atIndex:4];
-                        [encoder setBytes:&ne00        length:sizeof( int64_t)    atIndex:5];
-                        [encoder setBytes:&ne01        length:sizeof( int64_t)    atIndex:6];
-                        [encoder setBytes:&ne02        length:sizeof( int64_t)    atIndex:7];
-                        [encoder setBytes:&ne03        length:sizeof( int64_t)    atIndex:8];
-                        [encoder setBytes:&nb00        length:sizeof(uint64_t)    atIndex:9];
-                        [encoder setBytes:&nb01        length:sizeof(uint64_t)    atIndex:10];
-                        [encoder setBytes:&nb02        length:sizeof(uint64_t)    atIndex:11];
-                        [encoder setBytes:&nb03        length:sizeof(uint64_t)    atIndex:12];
-                        [encoder setBytes:&ne10        length:sizeof( int64_t)    atIndex:13];
-                        [encoder setBytes:&ne11        length:sizeof( int64_t)    atIndex:14];
-                        [encoder setBytes:&ne12        length:sizeof( int64_t)    atIndex:15];
-                        [encoder setBytes:&ne13        length:sizeof( int64_t)    atIndex:16];
-                        [encoder setBytes:&nb10        length:sizeof(uint64_t)    atIndex:17];
-                        [encoder setBytes:&nb11        length:sizeof(uint64_t)    atIndex:18];
-                        [encoder setBytes:&nb12        length:sizeof(uint64_t)    atIndex:19];
-                        [encoder setBytes:&nb13        length:sizeof(uint64_t)    atIndex:20];
-                        [encoder setBytes:&nb31        length:sizeof(uint64_t)    atIndex:21];
-                        [encoder setBytes:&ne0         length:sizeof( int64_t)    atIndex:22];
-                        [encoder setBytes:&ne1         length:sizeof( int64_t)    atIndex:23];
-                        [encoder setBytes:&ne2         length:sizeof( int64_t)    atIndex:24];
-                        [encoder setBytes:&ne3         length:sizeof( int64_t)    atIndex:25];
-                        [encoder setBytes:&scale       length:sizeof(   float)    atIndex:26];
-                        [encoder setBytes:&max_bias    length:sizeof(   float)    atIndex:27];
-                        [encoder setBytes:&m0          length:sizeof(m0)          atIndex:28];
-                        [encoder setBytes:&m1          length:sizeof(m1)          atIndex:29];
-                        [encoder setBytes:&n_head_log2 length:sizeof(n_head_log2) atIndex:30];
+                        [encoder setBytes:&ne01        length:sizeof( int64_t)    atIndex:5];
+                        [encoder setBytes:&ne02        length:sizeof( int64_t)    atIndex:6];
+                        [encoder setBytes:&ne03        length:sizeof( int64_t)    atIndex:7];
+                        [encoder setBytes:&nb01        length:sizeof(uint64_t)    atIndex:8];
+                        [encoder setBytes:&nb02        length:sizeof(uint64_t)    atIndex:9];
+                        [encoder setBytes:&nb03        length:sizeof(uint64_t)    atIndex:10];
+                        [encoder setBytes:&ne11        length:sizeof( int64_t)    atIndex:11];
+                        [encoder setBytes:&ne12        length:sizeof( int64_t)    atIndex:12];
+                        [encoder setBytes:&ne13        length:sizeof( int64_t)    atIndex:13];
+                        [encoder setBytes:&nb11        length:sizeof(uint64_t)    atIndex:14];
+                        [encoder setBytes:&nb12        length:sizeof(uint64_t)    atIndex:15];
+                        [encoder setBytes:&nb13        length:sizeof(uint64_t)    atIndex:16];
+                        [encoder setBytes:&nb21        length:sizeof(uint64_t)    atIndex:17];
+                        [encoder setBytes:&nb22        length:sizeof(uint64_t)    atIndex:18];
+                        [encoder setBytes:&nb23        length:sizeof(uint64_t)    atIndex:19];
+                        [encoder setBytes:&nb31        length:sizeof(uint64_t)    atIndex:20];
+                        [encoder setBytes:&ne1         length:sizeof( int64_t)    atIndex:21];
+                        [encoder setBytes:&ne2         length:sizeof( int64_t)    atIndex:22];
+                        [encoder setBytes:&scale       length:sizeof(   float)    atIndex:23];
+                        [encoder setBytes:&max_bias    length:sizeof(   float)    atIndex:24];
+                        [encoder setBytes:&m0          length:sizeof(m0)          atIndex:25];
+                        [encoder setBytes:&m1          length:sizeof(m1)          atIndex:26];
+                        [encoder setBytes:&n_head_log2 length:sizeof(n_head_log2) atIndex:27];
 
                         if (!use_vec_kernel) {
                             // half8x8 kernel
diff --git a/ggml-metal.metal b/ggml-metal.metal
index 7af4e8f93..e2796fd60 100644
--- a/ggml-metal.metal
+++ b/ggml-metal.metal
@@ -168,6 +168,53 @@ kernel void kernel_div(
     }
 }
 
+template<typename T>
+kernel void kernel_repeat(
+        device const char * src0,
+        device       char * dst,
+        constant  int64_t & ne00,
+        constant  int64_t & ne01,
+        constant  int64_t & ne02,
+        constant  int64_t & ne03,
+        constant uint64_t & nb00,
+        constant uint64_t & nb01,
+        constant uint64_t & nb02,
+        constant uint64_t & nb03,
+        constant  int64_t & ne0,
+        constant  int64_t & ne1,
+        constant  int64_t & ne2,
+        constant  int64_t & ne3,
+        constant uint64_t & nb0,
+        constant uint64_t & nb1,
+        constant uint64_t & nb2,
+        constant uint64_t & nb3,
+        uint3 tgpig[[threadgroup_position_in_grid]],
+        uint3 tpitg[[thread_position_in_threadgroup]],
+        uint3   ntg[[threads_per_threadgroup]]) {
+    const int64_t i3 = tgpig.z;
+    const int64_t i2 = tgpig.y;
+    const int64_t i1 = tgpig.x;
+
+    const int64_t i03 = i3 % ne03;
+    const int64_t i02 = i2 % ne02;
+    const int64_t i01 = i1 % ne01;
+
+    device const char * src0_ptr = src0 + i03*nb03 + i02*nb02 + i01*nb01;
+    device       char * dst_ptr  = dst  +  i3*nb3  +  i2*nb2  +  i1*nb1 ;
+
+    for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) {
+        const int i00 = i0 % ne00;
+        *((device T *)(dst_ptr + i0*nb0)) = *((device T *)(src0_ptr + i00*nb00));
+    }
+}
+
+typedef decltype(kernel_repeat<float>) kernel_repeat_t;
+
+template [[host_name("kernel_repeat_f32")]] kernel kernel_repeat_t kernel_repeat<float>;
+template [[host_name("kernel_repeat_f16")]] kernel kernel_repeat_t kernel_repeat<half>;
+template [[host_name("kernel_repeat_i32")]] kernel kernel_repeat_t kernel_repeat<int>;
+template [[host_name("kernel_repeat_i16")]] kernel kernel_repeat_t kernel_repeat<short>;
+
 // assumption: src1 is a row
 // broadcast src1 into src0
 kernel void kernel_add_row(
@@ -1607,8 +1654,7 @@ static float rope_yarn_ramp(const float low, const float high, const int i0) {
 // MIT licensed. Copyright (c) 2023 Jeffrey Quesnelle and Bowen Peng.
 static void rope_yarn(
     float theta_extrap, float freq_scale, float corr_dims[2], int64_t i0, float ext_factor, float mscale,
-    thread float * cos_theta, thread float * sin_theta
-) {
+    thread float * cos_theta, thread float * sin_theta) {
     // Get n-d rotational scaling corrected for extrapolation
     float theta_interp = freq_scale * theta_extrap;
     float theta = theta_interp;
@@ -1625,56 +1671,23 @@ static void rope_yarn(
 
 // Apparently solving `n_rot = 2pi * x * base^((2 * max_pos_emb) / n_dims)` for x, we get
 // `corr_fac(n_rot) = n_dims * log(max_pos_emb / (n_rot * 2pi)) / (2 * log(base))`
-static float rope_yarn_corr_factor(int n_dims, int n_orig_ctx, float n_rot, float base) {
-    return n_dims * log(n_orig_ctx / (n_rot * 2 * M_PI_F)) / (2 * log(base));
+static float rope_yarn_corr_factor(int n_dims, int n_ctx_orig, float n_rot, float base) {
+    return n_dims * log(n_ctx_orig / (n_rot * 2 * M_PI_F)) / (2 * log(base));
 }
 
 static void rope_yarn_corr_dims(
-    int n_dims, int n_orig_ctx, float freq_base, float beta_fast, float beta_slow, float dims[2]
+    int n_dims, int n_ctx_orig, float freq_base, float beta_fast, float beta_slow, float dims[2]
 ) {
     // start and end correction dims
-    dims[0] = max(0.0f,         floor(rope_yarn_corr_factor(n_dims, n_orig_ctx, beta_fast, freq_base)));
-    dims[1] = min(n_dims - 1.0f, ceil(rope_yarn_corr_factor(n_dims, n_orig_ctx, beta_slow, freq_base)));
+    dims[0] = max(0.0f,         floor(rope_yarn_corr_factor(n_dims, n_ctx_orig, beta_fast, freq_base)));
+    dims[1] = min(n_dims - 1.0f, ceil(rope_yarn_corr_factor(n_dims, n_ctx_orig, beta_slow, freq_base)));
 }
 
-typedef void (rope_t)(
-        device const    void * src0,
-        device const int32_t * src1,
-        device         float * dst,
-        constant     int64_t & ne00,
-        constant     int64_t & ne01,
-        constant     int64_t & ne02,
-        constant     int64_t & ne03,
-        constant    uint64_t & nb00,
-        constant    uint64_t & nb01,
-        constant    uint64_t & nb02,
-        constant    uint64_t & nb03,
-        constant     int64_t & ne0,
-        constant     int64_t & ne1,
-        constant     int64_t & ne2,
-        constant     int64_t & ne3,
-        constant    uint64_t & nb0,
-        constant    uint64_t & nb1,
-        constant    uint64_t & nb2,
-        constant    uint64_t & nb3,
-        constant         int & n_past,
-        constant         int & n_dims,
-        constant         int & mode,
-        constant         int & n_orig_ctx,
-        constant       float & freq_base,
-        constant       float & freq_scale,
-        constant       float & ext_factor,
-        constant       float & attn_factor,
-        constant       float & beta_fast,
-        constant       float & beta_slow,
-        uint  tiitg[[thread_index_in_threadgroup]],
-        uint3 tptg[[threads_per_threadgroup]],
-        uint3 tgpig[[threadgroup_position_in_grid]]);
-
 template<typename T>
-kernel void kernel_rope(
+kernel void kernel_rope_norm(
         device const    void * src0,
         device const int32_t * src1,
+        device const   float * src2,
         device         float * dst,
         constant     int64_t & ne00,
         constant     int64_t & ne01,
@@ -1694,8 +1707,7 @@ kernel void kernel_rope(
         constant    uint64_t & nb3,
         constant         int & n_past,
         constant         int & n_dims,
-        constant         int & mode,
-        constant         int & n_orig_ctx,
+        constant         int & n_ctx_orig,
         constant       float & freq_base,
         constant       float & freq_scale,
         constant       float & ext_factor,
@@ -1709,71 +1721,130 @@ kernel void kernel_rope(
     const int64_t i2 = tgpig[1];
     const int64_t i1 = tgpig[0];
 
-    const bool is_neox = mode & 2;
-
     float corr_dims[2];
-    rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims);
+    rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
 
     device const int32_t * pos = src1;
 
-    const int64_t p = pos[i2];
-
-    const float theta_0 = (float)p;
+    const float theta_base = (float) pos[i2];
     const float inv_ndims = -1.f/n_dims;
 
-    if (!is_neox) {
-        for (int64_t i0 = 2*tiitg; i0 < ne0; i0 += 2*tptg.x) {
+    float cos_theta;
+    float sin_theta;
 
-            const float theta = theta_0 * pow(freq_base, inv_ndims*i0);
-            float cos_theta, sin_theta;
-            rope_yarn(theta, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
+    for (int64_t i0 = 2*tiitg; i0 < ne0; i0 += 2*tptg.x) {
+        if (i0 < n_dims) {
+            const int64_t ic = i0/2;
+
+            const float theta = theta_base * pow(freq_base, inv_ndims*i0);
+
+            const float freq_factor = src2 != src0 ? src2[ic] : 1.0f;
+
+            rope_yarn(theta/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
 
             device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
             device       T * dst_data  = (device T *)((device char *)  dst + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
 
-            const T x0 = src[0];
-            const T x1 = src[1];
+            const float x0 = src[0];
+            const float x1 = src[1];
 
             dst_data[0] = x0*cos_theta - x1*sin_theta;
             dst_data[1] = x0*sin_theta + x1*cos_theta;
-        }
-    } else {
-        for (int64_t ic = 2*tiitg; ic < ne0; ic += 2*tptg.x) {
-            if (ic < n_dims) {
-                const int64_t ib = 0;
+        } else {
+            device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+            device       T * dst_data  = (device T *)((device char *)  dst + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
 
-                // simplified from `(ib * n_dims + ic) * inv_ndims`
-                const float cur_rot = inv_ndims*ic - ib;
-
-                const float theta = theta_0 * pow(freq_base, cur_rot);
-                float cos_theta, sin_theta;
-                rope_yarn(theta, freq_scale, corr_dims, cur_rot, ext_factor, attn_factor, &cos_theta, &sin_theta);
-
-                const int64_t i0 = ib*n_dims + ic/2;
-
-                device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                device       T * dst_data  = (device T *)((device char *)  dst + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
-
-                const float x0 = src[0];
-                const float x1 = src[n_dims/2];
-
-                dst_data[0]        = x0*cos_theta - x1*sin_theta;
-                dst_data[n_dims/2] = x0*sin_theta + x1*cos_theta;
-            } else {
-                const int64_t i0 = ic;
-
-                device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                device       T * dst_data  = (device T *)((device char *)  dst + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
-
-                dst_data[0] = src[0];
-                dst_data[1] = src[1];
-            }
+            dst_data[0] = src[0];
+            dst_data[1] = src[1];
         }
     }
 }
 
-template [[host_name("kernel_rope_f32")]] kernel rope_t kernel_rope<float>;
-template [[host_name("kernel_rope_f16")]] kernel rope_t kernel_rope<half>;
+template<typename T>
+kernel void kernel_rope_neox(
+        device const    void * src0,
+        device const int32_t * src1,
+        device const   float * src2,
+        device         float * dst,
+        constant     int64_t & ne00,
+        constant     int64_t & ne01,
+        constant     int64_t & ne02,
+        constant     int64_t & ne03,
+        constant    uint64_t & nb00,
+        constant    uint64_t & nb01,
+        constant    uint64_t & nb02,
+        constant    uint64_t & nb03,
+        constant     int64_t & ne0,
+        constant     int64_t & ne1,
+        constant     int64_t & ne2,
+        constant     int64_t & ne3,
+        constant    uint64_t & nb0,
+        constant    uint64_t & nb1,
+        constant    uint64_t & nb2,
+        constant    uint64_t & nb3,
+        constant         int & n_past,
+        constant         int & n_dims,
+        constant         int & n_ctx_orig,
+        constant       float & freq_base,
+        constant       float & freq_scale,
+        constant       float & ext_factor,
+        constant       float & attn_factor,
+        constant       float & beta_fast,
+        constant       float & beta_slow,
+        uint  tiitg[[thread_index_in_threadgroup]],
+        uint3 tptg[[threads_per_threadgroup]],
+        uint3 tgpig[[threadgroup_position_in_grid]]) {
+    const int64_t i3 = tgpig[2];
+    const int64_t i2 = tgpig[1];
+    const int64_t i1 = tgpig[0];
+
+    float corr_dims[2];
+    rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
+
+    device const int32_t * pos = src1;
+
+    const float theta_base = (float) pos[i2];
+    const float inv_ndims = -1.f/n_dims;
+
+    float cos_theta;
+    float sin_theta;
+
+    for (int64_t i0 = 2*tiitg; i0 < ne0; i0 += 2*tptg.x) {
+        if (i0 < n_dims) {
+            const int64_t ic = i0/2;
+
+            const float theta = theta_base * pow(freq_base, inv_ndims*i0);
+
+            const float freq_factor = src2 != src0 ? src2[ic] : 1.0f;
+
+            rope_yarn(theta/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
+
+            device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + ic*nb00);
+            device       T * dst_data  = (device T *)((device char *)  dst + i3*nb3  + i2*nb2  + i1*nb1  + ic*nb0);
+
+            const float x0 = src[0];
+            const float x1 = src[n_dims/2];
+
+            dst_data[0]        = x0*cos_theta - x1*sin_theta;
+            dst_data[n_dims/2] = x0*sin_theta + x1*cos_theta;
+        } else {
+            device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+            device       T * dst_data  = (device T *)((device char *)  dst + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
+
+            dst_data[0] = src[0];
+            dst_data[1] = src[1];
+        }
+    }
+}
+
+typedef decltype(kernel_rope_norm<float>) kernel_rope_norm_t;
+typedef decltype(kernel_rope_neox<float>) kernel_rope_neox_t;
+
+template [[host_name("kernel_rope_norm_f32")]] kernel kernel_rope_norm_t kernel_rope_norm<float>;
+template [[host_name("kernel_rope_norm_f16")]] kernel kernel_rope_norm_t kernel_rope_norm<half>;
+
+template [[host_name("kernel_rope_neox_f32")]] kernel kernel_rope_neox_t kernel_rope_neox<float>;
+template [[host_name("kernel_rope_neox_f16")]] kernel kernel_rope_neox_t kernel_rope_neox<half>;
 
 typedef void (im2col_t)(
         device const float * x,
@@ -1852,7 +1923,10 @@ kernel void kernel_upscale_f32(
     constant  uint64_t & nb1,
     constant  uint64_t & nb2,
     constant  uint64_t & nb3,
-    constant   int32_t & sf,
+    constant     float & sf0,
+    constant     float & sf1,
+    constant     float & sf2,
+    constant     float & sf3,
     uint3 tgpig[[threadgroup_position_in_grid]],
     uint3 tpitg[[thread_position_in_threadgroup]],
     uint3   ntg[[threads_per_threadgroup]]) {
@@ -1861,15 +1935,17 @@ kernel void kernel_upscale_f32(
     const int64_t i2 = tgpig.y;
     const int64_t i1 = tgpig.x;
 
-    const int64_t i03 = i3;
-    const int64_t i02 = i2;
-    const int64_t i01 = i1/sf;
-
-    device const float * src0_ptr = (device const float *) (src0 + i03*nb03 + i02*nb02 + i01*nb01);
-    device       float * dst_ptr  = (device       float *) (dst  +  i3*nb3  +  i2*nb2  +  i1*nb1);
+    const int64_t i03 = i3/sf3;
+    const int64_t i02 = i2/sf2;
+    const int64_t i01 = i1/sf1;
 
     for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) {
-        dst_ptr[i0] = src0_ptr[i0/sf];
+        const int64_t i00 = i0/sf0;
+
+        device const float * src0_ptr = (device const float *) (src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00);
+        device       float * dst_ptr  = (device       float *) (dst  +  i3*nb3  +  i2*nb2  +  i1*nb1  +  i0*nb0);
+
+        dst_ptr[0] = src0_ptr[0];
     }
 }
 
@@ -2049,27 +2125,24 @@ typedef void (flash_attn_ext_f16_t)(
         device const  char * v,
         device const  char * mask,
         device       float * dst,
-        constant   int64_t & ne00,
         constant   int64_t & ne01,
         constant   int64_t & ne02,
         constant   int64_t & ne03,
-        constant  uint64_t & nb00,
         constant  uint64_t & nb01,
         constant  uint64_t & nb02,
         constant  uint64_t & nb03,
-        constant   int64_t & ne10,
         constant   int64_t & ne11,
         constant   int64_t & ne12,
         constant   int64_t & ne13,
-        constant  uint64_t & nb10,
         constant  uint64_t & nb11,
         constant  uint64_t & nb12,
         constant  uint64_t & nb13,
+        constant  uint64_t & nb21,
+        constant  uint64_t & nb22,
+        constant  uint64_t & nb23,
         constant  uint64_t & nb31,
-        constant   int64_t & ne0,
         constant   int64_t & ne1,
         constant   int64_t & ne2,
-        constant   int64_t & ne3,
         constant     float & scale,
         constant     float & max_bias,
         constant     float & m0,
@@ -2090,27 +2163,24 @@ kernel void kernel_flash_attn_ext_f16(
         device const  char * v,
         device const  char * mask,
         device       float * dst,
-        constant   int64_t & ne00,
         constant   int64_t & ne01,
         constant   int64_t & ne02,
         constant   int64_t & ne03,
-        constant  uint64_t & nb00,
         constant  uint64_t & nb01,
         constant  uint64_t & nb02,
         constant  uint64_t & nb03,
-        constant   int64_t & ne10,
         constant   int64_t & ne11,
         constant   int64_t & ne12,
         constant   int64_t & ne13,
-        constant  uint64_t & nb10,
         constant  uint64_t & nb11,
         constant  uint64_t & nb12,
         constant  uint64_t & nb13,
+        constant  uint64_t & nb21,
+        constant  uint64_t & nb22,
+        constant  uint64_t & nb23,
         constant  uint64_t & nb31,
-        constant   int64_t & ne0,
         constant   int64_t & ne1,
         constant   int64_t & ne2,
-        constant   int64_t & ne3,
         constant     float & scale,
         constant     float & max_bias,
         constant     float & m0,
@@ -2180,10 +2250,6 @@ kernel void kernel_flash_attn_ext_f16(
         const short ne22 = ne12;
         const short ne23 = ne13;
 
-        const uint nb21 = nb11;
-        const uint nb22 = nb12;
-        const uint nb23 = nb13;
-
         // broadcast
         const short rk2 = ne02/ne12;
         const short rk3 = ne03/ne13;
@@ -2209,11 +2275,7 @@ kernel void kernel_flash_attn_ext_f16(
         // pointer to the mask
         device const half * mp = (device const half *) (mask + iq1*nb31);
 
-        // prepare diagonal scale matrix
-        simdgroup_float8x8 mscale(scale);
-
-        // prepare diagonal slope matrix
-        simdgroup_float8x8 mslope(1.0f);
+        float slope = 1.0f;
 
         // ALiBi
         if (max_bias > 0.0f) {
@@ -2222,7 +2284,7 @@ kernel void kernel_flash_attn_ext_f16(
             const float base = h < n_head_log2 ? m0 : m1;
             const int   exph = h < n_head_log2 ? h + 1 : 2*(h - n_head_log2) + 1;
 
-            mslope = simdgroup_float8x8(pow(base, exph));
+            slope = pow(base, exph);
         }
 
         // loop over the KV cache
@@ -2247,13 +2309,20 @@ kernel void kernel_flash_attn_ext_f16(
                         simdgroup_multiply_accumulate(mqk, mq[i], mk, mqk);
                     }
 
-                    // mqk = mqk*scale + mask*slope
-                    simdgroup_half8x8 mm;
-                    simdgroup_load(mm, mp + ic + 8*cc, nb31/sizeof(half), 0, false);
-                    simdgroup_multiply(mm, mslope, mm);
-                    simdgroup_multiply_accumulate(mqk, mqk, mscale, mm);
-
                     simdgroup_store(mqk, ss + 8*cc, TF, 0, false);
+
+                    const short tx = tiisg%4;
+                    const short ty = tiisg/4;
+
+                    if (mask != q) {
+                        // mqk = mqk*scale + mask*slope
+                        ss[8*cc + ty*TF + 2*tx + 0] = scale*ss[8*cc + ty*TF + 2*tx + 0] + slope*mp[ic + 8*cc + ty*nb31/sizeof(half) + 2*tx + 0];
+                        ss[8*cc + ty*TF + 2*tx + 1] = scale*ss[8*cc + ty*TF + 2*tx + 1] + slope*mp[ic + 8*cc + ty*nb31/sizeof(half) + 2*tx + 1];
+                    } else {
+                        // mqk = mqk*scale
+                        ss[8*cc + ty*TF + 2*tx + 0] *= scale;
+                        ss[8*cc + ty*TF + 2*tx + 1] *= scale;
+                    }
                 }
             }
 
@@ -2416,7 +2485,7 @@ template [[host_name("kernel_flash_attn_ext_f16_h80" )]] kernel flash_attn_ext_f
 template [[host_name("kernel_flash_attn_ext_f16_h96" )]] kernel flash_attn_ext_f16_t kernel_flash_attn_ext_f16<96>;
 template [[host_name("kernel_flash_attn_ext_f16_h112")]] kernel flash_attn_ext_f16_t kernel_flash_attn_ext_f16<112>;
 template [[host_name("kernel_flash_attn_ext_f16_h128")]] kernel flash_attn_ext_f16_t kernel_flash_attn_ext_f16<128>;
-template [[host_name("kernel_flash_attn_ext_f16_h256")]] kernel flash_attn_ext_f16_t kernel_flash_attn_ext_f16<256>;
+//template [[host_name("kernel_flash_attn_ext_f16_h256")]] kernel flash_attn_ext_f16_t kernel_flash_attn_ext_f16<256>;
 
 template<int64_t D, int64_t Q = 1, int64_t C = 32> // head size, queries per threadgroup, cache items per threadgroup
 kernel void kernel_flash_attn_ext_vec_f16(
@@ -2425,27 +2494,24 @@ kernel void kernel_flash_attn_ext_vec_f16(
         device const  char * v,
         device const  char * mask,
         device       float * dst,
-        constant   int64_t & ne00,
         constant   int64_t & ne01,
         constant   int64_t & ne02,
         constant   int64_t & ne03,
-        constant  uint64_t & nb00,
         constant  uint64_t & nb01,
         constant  uint64_t & nb02,
         constant  uint64_t & nb03,
-        constant   int64_t & ne10,
         constant   int64_t & ne11,
         constant   int64_t & ne12,
         constant   int64_t & ne13,
-        constant  uint64_t & nb10,
         constant  uint64_t & nb11,
         constant  uint64_t & nb12,
         constant  uint64_t & nb13,
+        constant  uint64_t & nb21,
+        constant  uint64_t & nb22,
+        constant  uint64_t & nb23,
         constant  uint64_t & nb31,
-        constant   int64_t & ne0,
         constant   int64_t & ne1,
         constant   int64_t & ne2,
-        constant   int64_t & ne3,
         constant     float & scale,
         constant     float & max_bias,
         constant     float & m0,
@@ -2521,10 +2587,6 @@ kernel void kernel_flash_attn_ext_vec_f16(
         const short ne22 = ne12;
         const short ne23 = ne13;
 
-        const uint nb21 = nb11;
-        const uint nb22 = nb12;
-        const uint nb23 = nb13;
-
         // broadcast
         const short rk2 = ne02/ne12;
         const short rk3 = ne03/ne13;
@@ -2589,8 +2651,7 @@ kernel void kernel_flash_attn_ext_vec_f16(
 
                     // mqk = mqk*scale + mask*slope
                     if (tiisg == 0) {
-                        float4 mm = (float4) mp4[ic/4 + cc];
-                        mqk = mqk*scale + mm*slope;
+                        mqk = mqk*scale + ((mask != q) ? ((float4) mp4[ic/4 + cc])*slope : (float4) 0.0f);
 
                         ss4[cc] = mqk;
                     }
@@ -2702,7 +2763,7 @@ kernel void kernel_flash_attn_ext_vec_f16(
 }
 
 template [[host_name("kernel_flash_attn_ext_vec_f16_h128")]] kernel flash_attn_ext_f16_t kernel_flash_attn_ext_vec_f16<128>;
-template [[host_name("kernel_flash_attn_ext_vec_f16_h256")]] kernel flash_attn_ext_f16_t kernel_flash_attn_ext_vec_f16<256>;
+//template [[host_name("kernel_flash_attn_ext_vec_f16_h256")]] kernel flash_attn_ext_f16_t kernel_flash_attn_ext_vec_f16<256>;
 
 kernel void kernel_cpy_f16_f16(
         device  const half * src0,
@@ -2824,8 +2885,7 @@ kernel void kernel_cpy_f32_f16(
     for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) {
         device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00);
 
-        // TODO: is there a better way to handle -INFINITY?
-        dst_data[i00] = src[0] == -INFINITY ? -MAXHALF : src[0];
+        dst_data[i00] = src[0];
     }
 }
 
@@ -3326,31 +3386,30 @@ kernel void kernel_concat(
     constant  uint64_t & nb1,
     constant  uint64_t & nb2,
     constant  uint64_t & nb3,
+    constant   int32_t & dim,
     uint3 tgpig[[threadgroup_position_in_grid]],
     uint3 tpitg[[thread_position_in_threadgroup]],
     uint3   ntg[[threads_per_threadgroup]]) {
 
-    const int64_t i03 = tgpig.z;
-    const int64_t i02 = tgpig.y;
-    const int64_t i01 = tgpig.x;
+    const int64_t i3 = tgpig.z;
+    const int64_t i2 = tgpig.y;
+    const int64_t i1 = tgpig.x;
 
-    const int64_t i13 = i03 % ne13;
-    const int64_t i12 = i02 % ne12;
-    const int64_t i11 = i01 % ne11;
+    int64_t o[4] = {0, 0, 0, 0};
+    o[dim] = dim == 0 ? ne00 : (dim == 1 ? ne01 : (dim == 2 ? ne02 : ne03));
 
-    device const char * src0_ptr = src0 + i03*nb03 + i02*nb02 + i01*nb01 + tpitg.x*nb00;
-    device const char * src1_ptr = src1 + i13*nb13 + i12*nb12 + i11*nb11 + tpitg.x*nb10;
-    device       char * dst_ptr  = dst  + i03*nb3  + i02*nb2  + i01*nb1  + tpitg.x*nb0;
+    device const float * x;
 
     for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) {
-        if (i02 < ne02) {
-            ((device float *)dst_ptr)[0] = ((device float *)src0_ptr)[0];
-            src0_ptr += ntg.x*nb00;
+        if (i0 < ne00 && i1 < ne01 && i2 < ne02 && i3 < ne03) {
+            x = (device const float *)(src0 + (i3       )*nb03 + (i2       )*nb02 + (i1       )*nb01 + (i0       )*nb00);
         } else {
-            ((device float *)dst_ptr)[0] = ((device float *)src1_ptr)[0];
-            src1_ptr += ntg.x*nb10;
+            x = (device const float *)(src1 + (i3 - o[3])*nb13 + (i2 - o[2])*nb12 + (i1 - o[1])*nb11 + (i0 - o[0])*nb10);
         }
-        dst_ptr += ntg.x*nb0;
+
+        device float * y = (device float *)(dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0);
+
+        *y = *x;
     }
 }
 
@@ -3393,7 +3452,6 @@ void kernel_mul_mv_q2_K_f32_impl(
 
     const int step = sizeof(block_q2_K) * nb;
 
-#if QK_K == 256
     const int ix = tiisg/8;  // 0...3
     const int it = tiisg%8;  // 0...7
     const int iq = it/4;     // 0 or 1
@@ -3445,57 +3503,6 @@ void kernel_mul_mv_q2_K_f32_impl(
 
         y4 += 4 * QK_K;
     }
-#else
-    const int ix = tiisg/2;  // 0...15
-    const int it = tiisg%2;  // 0...1
-
-    device const float * y4 = y + ix * QK_K + 8 * it;
-
-    for (int ib = ix; ib < nb; ib += 16) {
-
-        float4 sumy = {0.f, 0.f, 0.f, 0.f};
-        for (int i = 0; i < 8; ++i) {
-            yl[i+ 0] = y4[i+ 0]; sumy[0] += yl[i+ 0];
-            yl[i+ 8] = y4[i+16]; sumy[1] += yl[i+ 8];
-            yl[i+16] = y4[i+32]; sumy[2] += yl[i+16];
-            yl[i+24] = y4[i+48]; sumy[3] += yl[i+24];
-        }
-
-        device const uint8_t  * sc = (device const uint8_t  *)x[ib].scales;
-        device const uint16_t * qs = (device const uint16_t *)x[ib].qs + 4 * it;
-        device const half     * dh = &x[ib].d;
-
-        for (int row = 0; row < N_DST; row++) {
-
-            float4 acc1 = {0.f, 0.f, 0.f, 0.f};
-            float4 acc2 = {0.f, 0.f, 0.f, 0.f};
-            for (int i = 0; i < 8; i += 2) {
-                acc1[0] += yl[i+ 0] * (qs[i/2] & 0x0003);
-                acc2[0] += yl[i+ 1] * (qs[i/2] & 0x0300);
-                acc1[1] += yl[i+ 8] * (qs[i/2] & 0x000c);
-                acc2[1] += yl[i+ 9] * (qs[i/2] & 0x0c00);
-                acc1[2] += yl[i+16] * (qs[i/2] & 0x0030);
-                acc2[2] += yl[i+17] * (qs[i/2] & 0x3000);
-                acc1[3] += yl[i+24] * (qs[i/2] & 0x00c0);
-                acc2[3] += yl[i+25] * (qs[i/2] & 0xc000);
-            }
-
-            float dall = dh[0];
-            float dmin = dh[1];
-            sumf[row] += dall * ((acc1[0] + 1.f/256.f * acc2[0]) * (sc[0] & 0xF) * 1.f/ 1.f +
-                                 (acc1[1] + 1.f/256.f * acc2[1]) * (sc[1] & 0xF) * 1.f/ 4.f +
-                                 (acc1[2] + 1.f/256.f * acc2[2]) * (sc[2] & 0xF) * 1.f/16.f +
-                                 (acc1[3] + 1.f/256.f * acc2[3]) * (sc[3] & 0xF) * 1.f/64.f) -
-                         dmin * (sumy[0] * (sc[0] >> 4) + sumy[1] * (sc[1] >> 4) + sumy[2] * (sc[2] >> 4) + sumy[3] * (sc[3] >> 4));
-
-            qs += step/2;
-            sc += step;
-            dh += step/2;
-        }
-
-        y4 += 16 * QK_K;
-    }
-#endif
 
     for (int row = 0; row < N_DST; ++row) {
         all_sum = simd_sum(sumf[row]);
@@ -3533,7 +3540,6 @@ kernel void kernel_mul_mv_q2_K_f32(
     kernel_mul_mv_q2_K_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, nullptr, tgpig, tiisg, sgitg);
 }
 
-#if QK_K == 256
 void kernel_mul_mv_q3_K_f32_impl(
         device const  void * src0,
         device const float * src1,
@@ -3692,84 +3698,6 @@ void kernel_mul_mv_q3_K_f32_impl(
         }
     }
 }
-#else
-void kernel_mul_mv_q3_K_f32_impl(
-        device const  void * src0,
-        device const float * src1,
-        device       float * dst,
-        constant   int64_t & ne00,
-        constant   int64_t & ne01,
-        constant   int64_t & ne02,
-        constant   int64_t & ne10,
-        constant   int64_t & ne12,
-        constant   int64_t & ne0,
-        constant   int64_t & ne1,
-        constant   uint    & r2,
-        constant   uint    & r3,
-        threadgroup int8_t * shared_values [[threadgroup(0)]],
-        uint3 tgpig[[threadgroup_position_in_grid]],
-        uint  tiisg[[thread_index_in_simdgroup]],
-        uint  sgitg[[simdgroup_index_in_threadgroup]]) {
-
-    const int nb = ne00/QK_K;
-
-    const int64_t r0 = tgpig.x;
-    const int64_t r1 = tgpig.y;
-    const int64_t im = tgpig.z;
-
-    const int row = 2 * r0 + sgitg;
-
-    const uint i12 = im%ne12;
-    const uint i13 = im/ne12;
-
-    const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02);
-
-    device const block_q3_K * x = (device const block_q3_K *) src0 + row*nb + offset0;
-    device const float     * yy = (device const float      *) src1 + r1*ne10 + im*ne00*ne1;
-
-    const int ix = tiisg/4;
-    const int il = 4 * (tiisg%4);// 0, 4, 8, 12
-    const int iq = il/8;         // 0, 0, 1, 1
-    const int in = il%8;         // 0, 4, 0, 4
-
-    float2 sum = {0.f, 0.f};
-
-    for (int i = ix; i < nb; i += 8) {
-
-        const float d_all = (float)(x[i].d);
-
-        device const uint16_t * q = (device const uint16_t *)(x[i].qs + il);
-        device const uint16_t * h = (device const uint16_t *)(x[i].hmask + in);
-        device const uint16_t * s = (device const uint16_t *)(x[i].scales);
-        device const float    * y = yy + i * QK_K + il;
-
-        const float d1 = d_all * ((int32_t)(s[0] & 0x000F) - 8);
-        const float d2 = d_all * ((int32_t)(s[0] & 0x00F0) - 128) * 1.f/64.f;
-        const float d3 = d_all * ((int32_t)(s[0] & 0x0F00) - 2048) * 1.f/4096.f;
-        const float d4 = d_all * ((int32_t)(s[0] & 0xF000) - 32768) * 1.f/262144.f;
-
-        for (int l = 0; l < 4; l += 2) {
-            const uint16_t hm = h[l/2] >> iq;
-            sum[0] += y[l+ 0] * d1 * ((int32_t)(q[l/2] & 0x0003) - ((hm & 0x0001) ? 0 :  4))
-                    + y[l+16] * d2 * ((int32_t)(q[l/2] & 0x000c) - ((hm & 0x0004) ? 0 : 16))
-                    + y[l+32] * d3 * ((int32_t)(q[l/2] & 0x0030) - ((hm & 0x0010) ? 0 : 64))
-                    + y[l+48] * d4 * ((int32_t)(q[l/2] & 0x00c0) - ((hm & 0x0040) ? 0 : 256));
-            sum[1] += y[l+ 1] * d1 * ((int32_t)(q[l/2] & 0x0300) - ((hm & 0x0100) ? 0 : 1024))
-                    + y[l+17] * d2 * ((int32_t)(q[l/2] & 0x0c00) - ((hm & 0x0400) ? 0 : 4096))
-                    + y[l+33] * d3 * ((int32_t)(q[l/2] & 0x3000) - ((hm & 0x1000) ? 0 : 16384))
-                    + y[l+49] * d4 * ((int32_t)(q[l/2] & 0xc000) - ((hm & 0x4000) ? 0 : 65536));
-        }
-
-    }
-    const float sumf = sum[0] + sum[1] * 1.f/256.f;
-
-    const float tot = simd_sum(sumf);
-    if (tiisg == 0) {
-        dst[r1*ne0 + im*ne0*ne1 + row] = tot;
-    }
-
-}
-#endif
 
 [[host_name("kernel_mul_mv_q3_K_f32")]]
 kernel void kernel_mul_mv_q3_K_f32(
@@ -3799,7 +3727,6 @@ kernel void kernel_mul_mv_q3_K_f32(
     kernel_mul_mv_q3_K_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, nullptr, tgpig, tiisg, sgitg);
 }
 
-#if QK_K == 256
 void kernel_mul_mv_q4_K_f32_impl(
         device const  void * src0,
         device const float * src1,
@@ -3913,103 +3840,6 @@ void kernel_mul_mv_q4_K_f32_impl(
         }
     }
 }
-#else
-void kernel_mul_mv_q4_K_f32_impl(
-        device const  void * src0,
-        device const float * src1,
-        device       float * dst,
-        constant   int64_t & ne00,
-        constant   int64_t & ne01,
-        constant   int64_t & ne02,
-        constant   int64_t & ne10,
-        constant   int64_t & ne12,
-        constant   int64_t & ne0,
-        constant   int64_t & ne1,
-        constant   uint    & r2,
-        constant   uint    & r3,
-        threadgroup int8_t * shared_values [[threadgroup(0)]],
-        uint3 tgpig[[threadgroup_position_in_grid]],
-        uint  tiisg[[thread_index_in_simdgroup]],
-        uint  sgitg[[simdgroup_index_in_threadgroup]]) {
-
-    const int ix = tiisg/4;  // 0...7
-    const int it = tiisg%4;  // 0...3
-
-    const int nb = ne00/QK_K;
-    const int r0 = tgpig.x;
-    const int r1 = tgpig.y;
-    const int im = tgpig.z;
-    const int first_row = r0 * N_DST;
-    const int ib_row = first_row * nb;
-
-    const uint i12 = im%ne12;
-    const uint i13 = im/ne12;
-
-    const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02);
-
-    device const block_q4_K * x = (device const block_q4_K *) src0 + ib_row + offset0;
-    device const float      * y = (device const float      *) src1 + r1*ne10 + im*ne00*ne1;
-
-    float yl[8];
-    float yh[8];
-    float sumf[N_DST]={0.f}, all_sum;
-
-    const int step = sizeof(block_q4_K) * nb / 2;
-
-    device const float * y4 = y + ix * QK_K + 8 * it;
-
-    uint16_t sc16[4];
-
-    for (int ib = ix; ib < nb; ib += 8) {
-
-        float2 sumy = {0.f, 0.f};
-        for (int i = 0; i < 8; ++i) {
-            yl[i] = y4[i+ 0]; sumy[0] += yl[i];
-            yh[i] = y4[i+32]; sumy[1] += yh[i];
-        }
-
-        device const uint16_t * sc = (device const uint16_t *)x[ib].scales;
-        device const uint16_t * qs = (device const uint16_t *)x[ib].qs + 4 * it;
-        device const half     * dh = x[ib].d;
-
-        for (int row = 0; row < N_DST; row++) {
-
-            sc16[0] = sc[0] & 0x000f;
-            sc16[1] = sc[0] & 0x0f00;
-            sc16[2] = sc[0] & 0x00f0;
-            sc16[3] = sc[0] & 0xf000;
-
-            float2 acc1 = {0.f, 0.f};
-            float2 acc2 = {0.f, 0.f};
-            for (int i = 0; i < 8; i += 2) {
-                acc1[0] += yl[i+0] * (qs[i/2] & 0x000F);
-                acc1[1] += yl[i+1] * (qs[i/2] & 0x0F00);
-                acc2[0] += yh[i+0] * (qs[i/2] & 0x00F0);
-                acc2[1] += yh[i+1] * (qs[i/2] & 0xF000);
-            }
-
-            float dall = dh[0];
-            float dmin = dh[1];
-            sumf[row] += dall * ((acc1[0] + 1.f/256.f * acc1[1]) * sc16[0] +
-                                 (acc2[0] + 1.f/256.f * acc2[1]) * sc16[1] * 1.f/4096.f) -
-                         dmin * 1.f/16.f * (sumy[0] * sc16[2] + sumy[1] * sc16[3] * 1.f/256.f);
-
-            qs += step;
-            sc += step;
-            dh += step;
-        }
-
-        y4 += 8 * QK_K;
-    }
-
-    for (int row = 0; row < N_DST; ++row) {
-        all_sum = simd_sum(sumf[row]);
-        if (tiisg == 0) {
-            dst[r1*ne0 + im*ne0*ne1 + first_row + row] = all_sum;
-        }
-    }
-}
-#endif
 
 [[host_name("kernel_mul_mv_q4_K_f32")]]
 kernel void kernel_mul_mv_q4_K_f32(
@@ -4077,8 +3907,6 @@ void kernel_mul_mv_q5_K_f32_impl(
 
     const int step = sizeof(block_q5_K) * nb;
 
-#if QK_K == 256
-#
     float yl[16], yh[16];
 
     const uint16_t kmask1 = 0x3f3f;
@@ -4161,54 +3989,6 @@ void kernel_mul_mv_q5_K_f32_impl(
         y1 += 4 * QK_K;
 
     }
-#else
-    float yl[8], yh[8];
-
-    const int il = 4 * (tiisg/8);  // 0, 4, 8, 12
-    const int ix = tiisg%8;
-    const int iq = il/8;         // 0, 0, 1, 1
-    const int in = il%8;         // 0, 4, 0, 4
-
-    device const float * y = yy + ix*QK_K + il;
-
-    for (int i = ix; i < nb; i += 8) {
-
-        for (int l = 0; l < 4; ++l) {
-            yl[l+0] = y[l+ 0];
-            yl[l+4] = y[l+16];
-            yh[l+0] = y[l+32];
-            yh[l+4] = y[l+48];
-        }
-
-        device const half * dh = &x[i].d;
-        device const uint8_t * q = x[i].qs + il;
-        device const uint8_t * h = x[i].qh + in;
-        device const int8_t  * s = x[i].scales;
-
-        for (int row = 0; row < 2; ++row) {
-
-            const float d = dh[0];
-
-            float2 acc = {0.f, 0.f};
-            for (int l = 0; l < 4; ++l) {
-                const uint8_t hl = h[l] >> iq;
-                acc[0] += yl[l+0] * s[0] * ((int16_t)(q[l+ 0] & 0x0F) - (hl & 0x01 ? 0 : 16))
-                        + yl[l+4] * s[1] * ((int16_t)(q[l+16] & 0x0F) - (hl & 0x04 ? 0 : 16));
-                acc[1] += yh[l+0] * s[2] * ((int16_t)(q[l+ 0] & 0xF0) - (hl & 0x10 ? 0 : 256))
-                        + yh[l+4] * s[3] * ((int16_t)(q[l+16] & 0xF0) - (hl & 0x40 ? 0 : 256));
-            }
-            sumf[row] += d * (acc[0] + 1.f/16.f * acc[1]);
-
-            q += step;
-            h += step;
-            s += step;
-            dh += step/2;
-
-        }
-
-        y += 8 * QK_K;
-    }
-#endif
 
     for (int row = 0; row < 2; ++row) {
         const float tot = simd_sum(sumf[row]);
@@ -4287,7 +4067,6 @@ void kernel_mul_mv_q6_K_f32_impl(
 
     float sumf = 0;
 
-#if QK_K == 256
     const int tid  = tiisg/2;
     const int ix   = tiisg%2;
     const int ip   = tid/8;         // 0 or 1
@@ -4323,30 +4102,6 @@ void kernel_mul_mv_q6_K_f32_impl(
 
     }
 
-#else
-    const int ix  = tiisg/4;
-    const int il  = 4*(tiisg%4);
-
-    for (int i = ix; i < nb; i += 8) {
-        device const float * y = yy + i * QK_K + il;
-        device const uint8_t * ql = x[i].ql + il;
-        device const uint8_t * qh = x[i].qh + il;
-        device const int8_t  * s  = x[i].scales;
-
-        const float d = x[i].d;
-
-        float4 sums = {0.f, 0.f, 0.f, 0.f};
-        for (int l = 0; l < 4; ++l) {
-            sums[0] += y[l+ 0] * ((int8_t)((ql[l+ 0] & 0xF) | ((qh[l] & kmask1) << 4)) - 32);
-            sums[1] += y[l+16] * ((int8_t)((ql[l+16] & 0xF) | ((qh[l] & kmask2) << 2)) - 32);
-            sums[2] += y[l+32] * ((int8_t)((ql[l+ 0] >>  4) | ((qh[l] & kmask3) >> 0)) - 32);
-            sums[3] += y[l+48] * ((int8_t)((ql[l+16] >>  4) | ((qh[l] & kmask4) >> 2)) - 32);
-        }
-        sumf += d * (sums[0] * s[0] + sums[1] * s[1] + sums[2] * s[2] + sums[3] * s[3]);
-    }
-
-#endif
-
     const float tot = simd_sum(sumf);
     if (tiisg == 0) {
         dst[r1*ne0 + im*ne0*ne1 + row] = tot;
@@ -5180,9 +4935,7 @@ void kernel_mul_mv_iq1_m_f32_impl(
 
     device const float * y4 = y + 32 * ix;
 
-#if QK_K != 64
     iq1m_scale_t scale;
-#endif
 
     for (int ib32 = ix; ib32 < nb32; ib32 += 32) {
 
@@ -5203,10 +4956,7 @@ void kernel_mul_mv_iq1_m_f32_impl(
         device const uint16_t * sc = (device const uint16_t *)xr->scales;
 
         for (int row = 0; row < N_DST; row++) {
-
-#if QK_K != 64
             scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
-#endif
 
             constant uint8_t * grid1 = (constant uint8_t *)(iq1s_grid_gpu + (qs[0] | ((qh[0] << 8) & 0x700)));
             constant uint8_t * grid2 = (constant uint8_t *)(iq1s_grid_gpu + (qs[1] | ((qh[0] << 4) & 0x700)));
@@ -5222,14 +4972,9 @@ void kernel_mul_mv_iq1_m_f32_impl(
             }
             const float delta1 = sumy[0] * (qh[0] & 0x08 ? -1 - IQ1M_DELTA : -1 + IQ1M_DELTA) + sumy[1] * (qh[0] & 0x80 ? -1 - IQ1M_DELTA : -1 + IQ1M_DELTA);
             const float delta2 = sumy[2] * (qh[1] & 0x08 ? -1 - IQ1M_DELTA : -1 + IQ1M_DELTA) + sumy[3] * (qh[1] & 0x80 ? -1 - IQ1M_DELTA : -1 + IQ1M_DELTA);
-#if QK_K == 64
-            const float d = (float) *((device const half *)(sc - 1));
-            sumf[row] += d * ((sum[0] + delta1) * (2*((sc[0] >> (8*(ib%2)+0)) & 0xf) + 1) +
-                              (sum[1] + delta2) * (2*((sc[0] >> (8*(ib%2)+4)) & 0xf) + 1));
-#else
+
             sumf[row] += (float)scale.f16 * ((sum[0] + delta1) * (2*((sc[ib/2] >> (6*(ib%2)+0)) & 7) + 1) +
                                              (sum[1] + delta2) * (2*((sc[ib/2] >> (6*(ib%2)+3)) & 7) + 1));
-#endif
 
             sc += nb*sizeof(block_iq1_m)/2;
             qs += nb*sizeof(block_iq1_m);
@@ -5341,7 +5086,6 @@ void kernel_mul_mv_iq4_nl_f32_impl(
     }
 }
 
-#if QK_K != 64
 void kernel_mul_mv_iq4_xs_f32_impl(
         device const  void * src0,
         device const float * src1,
@@ -5436,7 +5180,6 @@ void kernel_mul_mv_iq4_xs_f32_impl(
         }
     }
 }
-#endif
 
 [[host_name("kernel_mul_mv_iq1_s_f32")]]
 kernel void kernel_mul_mv_iq1_s_f32(
@@ -5549,11 +5292,7 @@ kernel void kernel_mul_mv_iq4_xs_f32(
         uint tiisg[[thread_index_in_simdgroup]],
         uint sgitg[[simdgroup_index_in_threadgroup]]) {
 
-#if QK_K == 64
-    kernel_mul_mv_iq4_nl_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, shared_values, tgpig, tiisg, sgitg);
-#else
     kernel_mul_mv_iq4_xs_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, shared_values, tgpig, tiisg, sgitg);
-#endif
 }
 
 //============================= templates and their specializations =============================
@@ -5679,10 +5418,9 @@ void dequantize_q2_K(device const block_q2_K *xb, short il, thread type4x4 & reg
     float dl, ml;
     uint8_t sc = xb->scales[il];
 
-#if QK_K == 256
     q = q + 32*(il/8) + 16*(il&1);
     il = (il/2)%4;
-#endif
+
     half  coef = il>1 ? (il>2 ? 1/64.h : 1/16.h) : (il>0 ? 1/4.h : 1.h);
     uchar mask = il>1 ? (il>2 ? 192    : 48)     : (il>0 ? 12    : 3);
     dl = d * (sc & 0xF) * coef, ml = min * (sc >> 4);
@@ -5698,7 +5436,6 @@ void dequantize_q3_K(device const block_q3_K *xb, short il, thread type4x4 & reg
     device const uint8_t * h = (device const uint8_t *)xb->hmask;
     device const int8_t * scales = (device const int8_t *)xb->scales;
 
-#if QK_K == 256
     q = q + 32 * (il/8) + 16 * (il&1);
     h = h + 16 * (il&1);
     uint8_t m = 1 << (il/2);
@@ -5719,17 +5456,6 @@ void dequantize_q3_K(device const block_q3_K *xb, short il, thread type4x4 & reg
     for (int i = 0; i < 16; ++i) {
         reg[i/4][i%4] = dl * (q[i] & mask) - (h[i] & m ? 0 : ml);
     }
-#else
-    float    kcoef = il&1 ? 1.f/16.f : 1.f;
-    uint16_t kmask = il&1 ? 0xF0     : 0x0F;
-    float    dl = d_all * ((scales[il/2] & kmask) * kcoef - 8);
-    float    coef = il>1 ? (il>2 ? 1/64.h : 1/16.h) : (il>0 ? 1/4.h : 1.h);
-    uint8_t  mask = il>1 ? (il>2 ? 192    : 48)     : (il>0 ? 12    : 3);
-    uint8_t  m = 1<<(il*2);
-    for (int i = 0; i < 16; ++i) {
-        reg[i/4][i%4] = coef * dl * ((q[i] & mask) - ((h[i%8] & (m * (1 + i/8))) ? 0 : 4.f/coef));
-    }
-#endif
 }
 
 static inline uchar2 get_scale_min_k4_just2(int j, int k, device const uchar * q) {
@@ -5741,7 +5467,6 @@ template <typename type4x4>
 void dequantize_q4_K(device const block_q4_K *xb, short il, thread type4x4 & reg) {
     device const uchar * q = xb->qs;
 
-#if QK_K == 256
     short is = (il/4) * 2;
     q = q + (il/4) * 32 + 16 * (il&1);
     il = il & 3;
@@ -5750,16 +5475,7 @@ void dequantize_q4_K(device const block_q4_K *xb, short il, thread type4x4 & reg
     const float min = xb->dmin;
     const float dl = d * sc[0];
     const float ml = min * sc[1];
-#else
-    (void) get_scale_min_k4_just2;
 
-    q = q + 16 * (il&1);
-    device const uint8_t * s = xb->scales;
-    device const half2 * dh = (device const half2 *)xb->d;
-    const float2 d = (float2)dh[0];
-    const float dl = il<2 ? d[0] * (s[0]&0xF) : d[0] * (s[1]&0xF)/16.h;
-    const float ml = il<2 ? d[1] * (s[0]>>4)  : d[1] * (s[1]>>4);
-#endif
     const ushort mask = il<2 ? 0x0F : 0xF0;
     for (int i = 0; i < 16; ++i) {
         reg[i/4][i%4] = dl * (q[i] & mask) - ml;
@@ -5771,7 +5487,6 @@ void dequantize_q5_K(device const block_q5_K *xb, short il, thread type4x4 & reg
     device const uint8_t * q  = xb->qs;
     device const uint8_t * qh = xb->qh;
 
-#if QK_K == 256
     short is = (il/4) * 2;
     q  = q + 32 * (il/4) + 16 * (il&1);
     qh = qh + 16 * (il&1);
@@ -5788,17 +5503,6 @@ void dequantize_q5_K(device const block_q5_K *xb, short il, thread type4x4 & reg
     for (int i = 0; i < 16; ++i) {
         reg[i/4][i%4] = dl * ((q[i] & mask) + (qh[i] & ul ? qh_val : 0)) - ml;
     }
-#else
-    q = q + 16 * (il&1);
-    device const int8_t * s = xb->scales;
-    const float dl = xb->d * s[il];
-    uint8_t m = 1<<(il*2);
-    const float  coef = il<2 ? 1.f  : 1.f/16.f;
-    const ushort mask = il<2 ? 0x0F : 0xF0;
-    for (int i = 0; i < 16; ++i) {
-        reg[i/4][i%4] = coef * dl * ((q[i] & mask) - (qh[i%8] & (m*(1+i/8)) ? 0.f : 16.f/coef));
-    }
-#endif
 }
 
 template <typename type4x4>
@@ -5808,15 +5512,11 @@ void dequantize_q6_K(device const block_q6_K *xb, short il, thread type4x4 & reg
     device const uint8_t * qh = (device const uint8_t *)xb->qh;
     device const int8_t * scales = (device const int8_t *)xb->scales;
 
-#if QK_K == 256
     ql = ql + 64*(il/8) + 32*((il/2)&1) + 16*(il&1);
     qh = qh + 32*(il/8) + 16*(il&1);
     float sc = scales[(il%2) + 2 * ((il/2))];
     il = (il/2) & 3;
-#else
-    ql = ql + 16 * (il&1);
-    float sc = scales[il];
-#endif
+
     const uint16_t  kmask1 = il>1 ? (il>2 ? 192 : 48) : (il>0 ? 12 : 3);
     const uint16_t  kmask2 = il>1 ? 0xF0              : 0x0F;
     const float       coef = il>1 ? 1.f/16.f          : 1.f;
@@ -5973,20 +5673,15 @@ void dequantize_iq1_m(device const block_iq1_m * xb, short il, thread type4x4 &
     const int ib32 = il/2;
     il = il%2;
     device const uint16_t * sc = (device const uint16_t *)xb->scales;
-#if QK_K == 64
-    const float d = xb->d;
-#else
+
     iq1m_scale_t scale;
     scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
     const float d = scale.f16;
-#endif
+
     device const uint8_t * qs = xb->qs + 4*ib32 + 2*il;
     device const uint8_t * qh = xb->qh + 2*ib32 + il;
-#if QK_K == 64
-    const float dl  = d * (2*((sc[ib32/2] >> (8*(ib32%2)+4*il)) & 0xf) + 1);
-#else
+
     const float dl  = d * (2*((sc[ib32/2] >> (6*(ib32%2)+3*il)) & 7) + 1);
-#endif
     const float ml1 = dl * (qh[0] & 0x08 ? -1 - IQ1M_DELTA : -1 + IQ1M_DELTA);
     const float ml2 = dl * (qh[0] & 0x80 ? -1 - IQ1M_DELTA : -1 + IQ1M_DELTA);
     constant uint8_t * grid1 = (constant uint8_t *)(iq1s_grid_gpu + (qs[0] | ((qh[0] << 8) & 0x700)));
@@ -6016,9 +5711,6 @@ void dequantize_iq4_nl(device const block_iq4_nl * xb, short il, thread type4x4
 
 template <typename type4x4>
 void dequantize_iq4_xs(device const block_iq4_xs * xb, short il, thread type4x4 & reg) {
-#if QK_K == 64
-    dequantize_iq4_nl(xb, il, reg);
-#else
     // il is 0...15 for QK_K = 256 => index of block of 32 is il/2
     const int ib32 = il/2;
     il = il%2;
@@ -6035,7 +5727,6 @@ void dequantize_iq4_xs(device const block_iq4_xs * xb, short il, thread type4x4
         reg[i][2] = d * kvalues_iq4nl_f[q8[2]];
         reg[i][3] = d * kvalues_iq4nl_f[q8[3]];
     }
-#endif
 }
 
 template<typename block_q, short nl, void (*dequantize_func)(device const block_q *, short, thread float4x4 &)>
@@ -6540,11 +6231,7 @@ kernel void kernel_mul_mm_id(
         sgitg);
 }
 
-#if QK_K == 256
 #define QK_NL 16
-#else
-#define QK_NL 4
-#endif
 
 //
 // get rows
@@ -6584,11 +6271,7 @@ template [[host_name("kernel_get_rows_iq2_s")]]   kernel get_rows_t kernel_get_r
 template [[host_name("kernel_get_rows_iq1_s")]]   kernel get_rows_t kernel_get_rows<block_iq1_s,   QK_NL, dequantize_iq1_s>;
 template [[host_name("kernel_get_rows_iq1_m")]]   kernel get_rows_t kernel_get_rows<block_iq1_m,   QK_NL, dequantize_iq1_m>;
 template [[host_name("kernel_get_rows_iq4_nl")]]  kernel get_rows_t kernel_get_rows<block_iq4_nl,  2,     dequantize_iq4_nl>;
-#if QK_K == 64
-template [[host_name("kernel_get_rows_iq4_xs")]]  kernel get_rows_t kernel_get_rows<block_iq4_xs,  2,     dequantize_iq4_xs>;
-#else
 template [[host_name("kernel_get_rows_iq4_xs")]]  kernel get_rows_t kernel_get_rows<block_iq4_xs,  QK_NL, dequantize_iq4_xs>;
-#endif
 
 //
 // matrix-matrix multiplication
@@ -6616,11 +6299,7 @@ template [[host_name("kernel_mul_mm_iq2_s_f32")]]   kernel mat_mm_t kernel_mul_m
 template [[host_name("kernel_mul_mm_iq1_s_f32")]]   kernel mat_mm_t kernel_mul_mm<block_iq1_s,   QK_NL, dequantize_iq1_s>;
 template [[host_name("kernel_mul_mm_iq1_m_f32")]]   kernel mat_mm_t kernel_mul_mm<block_iq1_m,   QK_NL, dequantize_iq1_m>;
 template [[host_name("kernel_mul_mm_iq4_nl_f32")]]  kernel mat_mm_t kernel_mul_mm<block_iq4_nl,  2,     dequantize_iq4_nl>;
-#if QK_K == 64
-template [[host_name("kernel_mul_mm_iq4_xs_f32")]]  kernel mat_mm_t kernel_mul_mm<block_iq4_nl,  2,     dequantize_iq4_xs>;
-#else
 template [[host_name("kernel_mul_mm_iq4_xs_f32")]]  kernel mat_mm_t kernel_mul_mm<block_iq4_xs,  QK_NL, dequantize_iq4_xs>;
-#endif
 
 //
 // indirect matrix-matrix multiplication
@@ -6648,11 +6327,7 @@ template [[host_name("kernel_mul_mm_id_iq2_s_f32")]]   kernel mat_mm_id_t kernel
 template [[host_name("kernel_mul_mm_id_iq1_s_f32")]]   kernel mat_mm_id_t kernel_mul_mm_id<block_iq1_s,   QK_NL, dequantize_iq1_s>;
 template [[host_name("kernel_mul_mm_id_iq1_m_f32")]]   kernel mat_mm_id_t kernel_mul_mm_id<block_iq1_m,   QK_NL, dequantize_iq1_m>;
 template [[host_name("kernel_mul_mm_id_iq4_nl_f32")]]  kernel mat_mm_id_t kernel_mul_mm_id<block_iq4_nl,  2,     dequantize_iq4_nl>;
-#if QK_K == 64
-template [[host_name("kernel_mul_mm_id_iq4_xs_f32")]]  kernel mat_mm_id_t kernel_mul_mm_id<block_iq4_xs,  2,     dequantize_iq4_xs>;
-#else
 template [[host_name("kernel_mul_mm_id_iq4_xs_f32")]]  kernel mat_mm_id_t kernel_mul_mm_id<block_iq4_xs,  QK_NL, dequantize_iq4_xs>;
-#endif
 
 //
 // matrix-vector multiplication
@@ -6861,7 +6536,5 @@ template [[host_name("kernel_mul_mv_id_iq3_xxs_f32")]] kernel kernel_mul_mv_id_t
 template [[host_name("kernel_mul_mv_id_iq3_s_f32")]]   kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<kernel_mul_mv_iq3_s_f32_impl>>;
 template [[host_name("kernel_mul_mv_id_iq2_s_f32")]]   kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<kernel_mul_mv_iq2_s_f32_impl>>;
 template [[host_name("kernel_mul_mv_id_iq4_nl_f32")]]  kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<kernel_mul_mv_iq4_nl_f32_impl>>;
-#if QK_K != 64
 template [[host_name("kernel_mul_mv_id_iq4_xs_f32")]]  kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<kernel_mul_mv_iq4_xs_f32_impl>>;
-#endif
 
diff --git a/ggml-mpi.c b/ggml-mpi.c
deleted file mode 100644
index ae176d707..000000000
--- a/ggml-mpi.c
+++ /dev/null
@@ -1,216 +0,0 @@
-#include "ggml-mpi.h"
-
-#include "ggml.h"
-
-#include <mpi.h>
-
-#include <stdio.h>
-#include <stdlib.h>
-
-#define MIN(a, b) ((a) < (b) ? (a) : (b))
-
-#define UNUSED GGML_UNUSED
-
-struct ggml_mpi_context {
-    int rank;
-    int size;
-};
-
-void ggml_mpi_backend_init(void) {
-    MPI_Init(NULL, NULL);
-}
-
-void ggml_mpi_backend_free(void) {
-    MPI_Finalize();
-}
-
-struct ggml_mpi_context * ggml_mpi_init(void) {
-    struct ggml_mpi_context * ctx = calloc(1, sizeof(struct ggml_mpi_context));
-
-    MPI_Comm_rank(MPI_COMM_WORLD, &ctx->rank);
-    MPI_Comm_size(MPI_COMM_WORLD, &ctx->size);
-
-    return ctx;
-}
-
-void ggml_mpi_free(struct ggml_mpi_context * ctx) {
-    free(ctx);
-}
-
-int ggml_mpi_rank(struct ggml_mpi_context * ctx) {
-    return ctx->rank;
-}
-
-void ggml_mpi_eval_init(
-        struct ggml_mpi_context * ctx_mpi,
-                            int * n_tokens,
-                            int * n_past,
-                            int * n_threads) {
-    UNUSED(ctx_mpi);
-
-    // synchronize the worker node parameters with the root node
-    MPI_Barrier(MPI_COMM_WORLD);
-
-    MPI_Bcast(n_tokens,  1, MPI_INT, 0, MPI_COMM_WORLD);
-    MPI_Bcast(n_past,    1, MPI_INT, 0, MPI_COMM_WORLD);
-    MPI_Bcast(n_threads, 1, MPI_INT, 0, MPI_COMM_WORLD);
-}
-
-static int ggml_graph_get_node_idx(struct ggml_cgraph * gf, const char * name) {
-    struct ggml_tensor * t = ggml_graph_get_tensor(gf, name);
-    if (t == NULL) {
-        fprintf(stderr, "%s: tensor %s not found\n", __func__, name);
-        return -1;
-    }
-
-    for (int i = 0; i < gf->n_nodes; i++) {
-        if (gf->nodes[i] == t) {
-            return i;
-        }
-    }
-
-    fprintf(stderr, "%s: tensor %s not found in graph (should not happen)\n", __func__, name);
-    return -1;
-}
-
-static void ggml_mpi_tensor_send(struct ggml_tensor * t, int mpi_rank_dst) {
-    MPI_Datatype mpi_type;
-
-    switch (t->type) {
-        case GGML_TYPE_I32: mpi_type = MPI_INT32_T; break;
-        case GGML_TYPE_F32: mpi_type = MPI_FLOAT;   break;
-        default: GGML_ASSERT(false && "not implemented");
-    }
-
-    const int retval = MPI_Send(t->data, ggml_nelements(t), mpi_type, mpi_rank_dst, 0, MPI_COMM_WORLD);
-    GGML_ASSERT(retval == MPI_SUCCESS);
-}
-
-static void ggml_mpi_tensor_recv(struct ggml_tensor * t, int mpi_rank_src) {
-    MPI_Datatype mpi_type;
-
-    switch (t->type) {
-        case GGML_TYPE_I32: mpi_type = MPI_INT32_T; break;
-        case GGML_TYPE_F32: mpi_type = MPI_FLOAT;   break;
-        default: GGML_ASSERT(false && "not implemented");
-    }
-
-    MPI_Status status; UNUSED(status);
-
-    const int retval = MPI_Recv(t->data, ggml_nelements(t), mpi_type, mpi_rank_src, MPI_ANY_TAG, MPI_COMM_WORLD, &status);
-    GGML_ASSERT(retval == MPI_SUCCESS);
-}
-
-// TODO: there are many improvements that can be done to this implementation
-void ggml_mpi_graph_compute_pre(
-        struct ggml_mpi_context * ctx_mpi,
-             struct ggml_cgraph * gf,
-                            int   n_layers) {
-    const int mpi_rank = ctx_mpi->rank;
-    const int mpi_size = ctx_mpi->size;
-
-    struct ggml_tensor * inp_tokens = ggml_graph_get_tensor(gf, "inp_tokens");
-    if (inp_tokens == NULL) {
-        fprintf(stderr, "%s: tensor 'inp_tokens' not found\n", __func__);
-        return;
-    }
-
-    struct ggml_tensor * inp0 = ggml_graph_get_tensor(gf, "layer_inp_0");
-    if (inp0 == NULL) {
-        fprintf(stderr, "%s: tensor 'inp0' not found\n", __func__);
-        return;
-    }
-
-    GGML_ASSERT(inp0 == gf->nodes[0]);
-
-    // distribute the compute graph into slices across the MPI nodes
-    //
-    // the main node (0) processes the last layers + the remainder of the compute graph
-    // and is responsible to pass the input tokens to the first node (1)
-    //
-    // node 1:   [(  0) * n_per_node, (  1) * n_per_node)
-    // node 2:   [(  1) * n_per_node, (  2) * n_per_node)
-    // ...
-    // node n-1: [(n-2) * n_per_node, (n-1) * n_per_node)
-    // node 0:   [(n-1) * n_per_node,            n_nodes)
-    //
-    if (mpi_rank > 0) {
-        if (mpi_rank == 1) {
-            // the first node (1) receives the input tokens from the main node (0)
-            ggml_mpi_tensor_recv(inp_tokens, 0);
-        } else {
-            // recv input data for each node into the "inp0" tensor (i.e. the first node in the compute graph)
-            ggml_mpi_tensor_recv(inp0, mpi_rank - 1);
-        }
-    } else if (mpi_size > 1) {
-        // node 0 sends the input tokens to node 1
-        ggml_mpi_tensor_send(inp_tokens, 1);
-
-        // recv the output data from the last node
-        ggml_mpi_tensor_recv(inp0, mpi_size - 1);
-    }
-
-    {
-        const int n_per_node = (n_layers + (mpi_size - 1)) / mpi_size;
-
-        const int mpi_idx = mpi_rank > 0 ? mpi_rank - 1 : mpi_size - 1;
-
-        const int il0 =               (mpi_idx + 0) * n_per_node;
-        const int il1 = MIN(n_layers, (mpi_idx + 1) * n_per_node);
-
-        char name_l0[GGML_MAX_NAME];
-        char name_l1[GGML_MAX_NAME];
-
-        snprintf(name_l0, sizeof(name_l0), "layer_inp_%d", il0);
-        snprintf(name_l1, sizeof(name_l1), "layer_inp_%d", il1);
-
-        const int idx_l0 =                ggml_graph_get_node_idx(gf, name_l0);
-        const int idx_l1 = mpi_rank > 0 ? ggml_graph_get_node_idx(gf, name_l1) + 1 : gf->n_nodes;
-
-        if (idx_l0 < 0 || idx_l1 < 0) {
-            fprintf(stderr, "%s: layer input nodes not found\n", __func__);
-            return;
-        }
-
-        // attach the input data to all nodes that need it
-        // TODO: not great - should be able to do this without modifying the compute graph (see next TODO below)
-        for (int i = idx_l0; i < idx_l1; i++) {
-            if (gf->nodes[i]->src[0] == gf->nodes[idx_l0]) {
-                gf->nodes[i]->src[0] =  inp0;
-            }
-            if (gf->nodes[i]->src[1] == gf->nodes[idx_l0]) {
-                gf->nodes[i]->src[1] =  inp0;
-            }
-        }
-
-        // TODO: instead of rearranging the nodes, we should be able to execute a subset of the compute graph
-        for (int i = 1; i < idx_l1 - idx_l0; i++) {
-            gf->nodes[i] = gf->nodes[idx_l0 + i];
-            gf->grads[i] = gf->grads[idx_l0 + i];
-        }
-
-        // the first node performs the "get_rows" operation, the rest of the nodes get the data from the previous node
-        if (mpi_idx != 0) {
-            gf->nodes[0]->op = GGML_OP_NONE;
-        }
-
-        gf->n_nodes = idx_l1 - idx_l0;
-
-        //fprintf(stderr, "%s: node %d: processing %d nodes [%d, %d)\n", __func__, mpi_rank, gf->n_nodes, il0, il1);
-    }
-}
-
-void ggml_mpi_graph_compute_post(
-        struct ggml_mpi_context * ctx_mpi,
-             struct ggml_cgraph * gf,
-                            int   n_layers) {
-    UNUSED(n_layers);
-
-    const int mpi_rank = ctx_mpi->rank;
-    const int mpi_size = ctx_mpi->size;
-
-    // send the output data to the next node
-    if (mpi_rank > 0) {
-        ggml_mpi_tensor_send(gf->nodes[gf->n_nodes - 1], (mpi_rank + 1) % mpi_size);
-    }
-}
diff --git a/ggml-mpi.h b/ggml-mpi.h
deleted file mode 100644
index eda119d44..000000000
--- a/ggml-mpi.h
+++ /dev/null
@@ -1,39 +0,0 @@
-#pragma once
-
-struct ggml_context;
-struct ggml_tensor;
-struct ggml_cgraph;
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-struct ggml_mpi_context;
-
-void ggml_mpi_backend_init(void);
-void ggml_mpi_backend_free(void);
-
-struct ggml_mpi_context * ggml_mpi_init(void);
-void ggml_mpi_free(struct ggml_mpi_context * ctx);
-
-int ggml_mpi_rank(struct ggml_mpi_context * ctx);
-
-void ggml_mpi_eval_init(
-        struct ggml_mpi_context * ctx_mpi,
-                            int * n_tokens,
-                            int * n_past,
-                            int * n_threads);
-
-void ggml_mpi_graph_compute_pre(
-        struct ggml_mpi_context * ctx_mpi,
-             struct ggml_cgraph * gf,
-                            int   n_layers);
-
-void ggml_mpi_graph_compute_post(
-        struct ggml_mpi_context * ctx_mpi,
-             struct ggml_cgraph * gf,
-                            int   n_layers);
-
-#ifdef __cplusplus
-}
-#endif
diff --git a/ggml-opencl.cpp b/ggml-opencl.cpp
deleted file mode 100644
index 880a14958..000000000
--- a/ggml-opencl.cpp
+++ /dev/null
@@ -1,2302 +0,0 @@
-#include "ggml.h"
-#include "ggml-opencl.h"
-#include "ggml-backend-impl.h"
-
-#include <array>
-#include <atomic>
-#include <cstdio>
-#include <cstdlib>
-#include <cstring>
-#include <limits>
-#include <sstream>
-#include <vector>
-
-#define CL_TARGET_OPENCL_VERSION 120
-#include <clblast.h>
-
-#if defined(_MSC_VER)
-#pragma warning(disable: 4244 4267) // possible loss of data
-#endif
-
-#define CL_DMMV_LOCAL_SIZE 32
-
-#ifndef K_QUANTS_PER_ITERATION
-#define K_QUANTS_PER_ITERATION 1
-#else
-static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUANTS_PER_ITERATION must be 1 or 2");
-#endif
-
-#define MULTILINE_QUOTE(...) #__VA_ARGS__
-static std::string program_source = MULTILINE_QUOTE(
-
-typedef char int8_t;
-typedef uchar uint8_t;
-typedef short int16_t;
-typedef ushort uint16_t;
-typedef int int32_t;
-typedef uint uint32_t;
-
-struct __attribute__ ((packed)) block_q4_0
-{
-    half d;
-    uint8_t qs[QK4_0 / 2];
-};
-
-struct __attribute__ ((packed)) block_q4_1
-{
-    half d;
-    half m;
-    uint8_t qs[QK4_1 / 2];
-};
-
-struct __attribute__ ((packed)) block_q5_0
-{
-    half d;
-    uint32_t qh;
-    uint8_t qs[QK5_0 / 2];
-};
-
-struct __attribute__ ((packed)) block_q5_1
-{
-    half d;
-    half m;
-    uint32_t qh;
-    uint8_t qs[QK5_1 / 2];
-};
-
-struct __attribute__ ((packed)) block_q8_0
-{
-    half d;
-    int8_t qs[QK8_0];
-};
-
-struct __attribute__((packed)) block_q2_K
-{
-    uint8_t scales[16];
-    uint8_t qs[64];
-    half d;
-    half dmin;
-};
-
-struct __attribute__((packed)) block_q3_K
-{
-    uint8_t hmask[32];
-    uint8_t qs[64];
-    uint8_t scales[12];
-    half d;
-};
-
-struct __attribute__((packed)) block_q4_K
-{
-    half d;
-    half dmin;
-    uint8_t scales[12];
-    uint8_t qs[128];
-};
-
-struct __attribute__((packed)) block_q5_K
-{
-    half d;
-    half dmin;
-    uint8_t scales[12];
-    uint8_t qh[32];
-    uint8_t qs[128];
-};
-
-struct __attribute__((packed)) block_q6_K
-{
-    uint8_t ql[128];
-    uint8_t qh[64];
-    int8_t scales[16];
-    half d;
-};
-
-__kernel void convert_fp16_to_fp32(__global half* x, __global float* y) {
-    const uint i = get_global_id(0);
-
-    y[i] = vload_half(0, &x[i]);
-}
-
-void dequantize_q4_0(__global const struct block_q4_0* x, const int ib, const int iqs, float* v0, float* v1) {
-    const float d = vload_half(0, &x[ib].d);
-
-    const uint8_t vui = x[ib].qs[iqs];
-
-    const int8_t vi0 = vui & 0xF;
-    const int8_t vi1 = vui >> 4;
-
-    *v0 = (vi0 - 8)*d;
-    *v1 = (vi1 - 8)*d;
-}
-void dequantize_q4_1(__global const struct block_q4_1* x, const int ib, const int iqs, float* v0, float* v1) {
-    const float d = vload_half(0, &x[ib].d);
-    const float m = vload_half(0, &x[ib].m);
-
-    const uint8_t vui = x[ib].qs[iqs];
-
-    const int8_t vi0 = vui & 0xF;
-    const int8_t vi1 = vui >> 4;
-
-    *v0 = vi0*d + m;
-    *v1 = vi1*d + m;
-}
-void dequantize_q5_0(__global const struct block_q5_0* x, const int ib, const int iqs, float* v0, float* v1) {
-    const float d = vload_half(0, &x[ib].d);
-
-    uint32_t qh = x[ib].qh;
-
-    const uint8_t xh_0 = ((qh >> (iqs +  0)) << 4) & 0x10;
-    const uint8_t xh_1 = ((qh >> (iqs + 12))     ) & 0x10;
-
-    const int32_t x0 = ((x[ib].qs[iqs] & 0xf) | xh_0) - 16;
-    const int32_t x1 = ((x[ib].qs[iqs] >>  4) | xh_1) - 16;
-
-    *v0 = x0*d;
-    *v1 = x1*d;
-}
-void dequantize_q5_1(__global const struct block_q5_1* x, const int ib, const int iqs, float* v0, float* v1) {
-    const float d = vload_half(0, &x[ib].d);
-    const float m = vload_half(0, &x[ib].m);
-
-    uint32_t qh = x[ib].qh;
-
-    const uint8_t xh_0 = ((qh >> (iqs +  0)) << 4) & 0x10;
-    const uint8_t xh_1 = ((qh >> (iqs + 12))     ) & 0x10;
-
-    const int32_t x0 = ((x[ib].qs[iqs] & 0xf) | xh_0);
-    const int32_t x1 = ((x[ib].qs[iqs] >>  4) | xh_1);
-
-    *v0 = x0*d + m;
-    *v1 = x1*d + m;
-}
-void dequantize_q8_0(__global const struct block_q8_0* x, const int ib, const int iqs, float* v0, float* v1) {
-    const float d = vload_half(0, &x[ib].d);
-
-    const int8_t vi0 = x[ib].qs[iqs + 0];
-    const int8_t vi1 = x[ib].qs[iqs + 1];
-
-    *v0 = vi0*d;
-    *v1 = vi1*d;
-}
-void convert_f16(__global half* x, const int ib, const int iqs, float* v0, float* v1){
-    *v0 = vload_half(0, &x[ib + 0]);
-    *v1 = vload_half(0, &x[ib + 1]);
-}
-);
-
-static std::string k_quants_source = MULTILINE_QUOTE(
-inline void get_scale_min_k4(int j, const __global uint8_t *q, uint8_t *d, uint8_t *m)
-{
-    if (j < 4)
-    {
-        *d = q[j] & 63;
-        *m = q[j + 4] & 63;
-    }
-    else
-    {
-        *d = (q[j + 4] & 0xF) | ((q[j - 4] >> 6) << 4);
-        *m = (q[j + 4] >> 4) | ((q[j - 0] >> 6) << 4);
-    }
-}
-
-__kernel void dequantize_block_q2_K(__global const struct block_q2_K *x, __global float *yy)
-{
-    const int i = get_group_id(0) + get_global_offset(0);
-    const int tid = get_local_id(0);
-    const int n = tid / 32;
-    const int l = tid - 32 * n;
-    const int is = 8 * n + l / 16;
-
-    const uint8_t q = x[i].qs[32 * n + l];
-    __global float *y = yy + get_group_id(0) * QK_K + 128 * n;
-
-    const float dall = vload_half(0, &x[i].d);
-    const float dmin = vload_half(0, &x[i].dmin);
-
-    y[l + 0] = dall * (x[i].scales[is + 0] & 0xF) * ((q >> 0) & 3) - dmin * (x[i].scales[is + 0] >> 4);
-    y[l + 32] = dall * (x[i].scales[is + 2] & 0xF) * ((q >> 2) & 3) - dmin * (x[i].scales[is + 2] >> 4);
-    y[l + 64] = dall * (x[i].scales[is + 4] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is + 4] >> 4);
-    y[l + 96] = dall * (x[i].scales[is + 6] & 0xF) * ((q >> 6) & 3) - dmin * (x[i].scales[is + 6] >> 4);
-}
-
-__kernel void dequantize_block_q3_K(__global const struct block_q3_K *x, __global float *yy)
-{
-    int r = get_local_id(0) / 4;
-    int i = get_group_id(0) + get_global_offset(0);
-    int tid = r / 2;
-    int is0 = r % 2;
-    int l0 = 16 * is0 + 4 * (get_local_id(0) % 4);
-    int n = tid / 4;
-    int j = tid - 4 * n;
-
-    uint8_t m = 1 << (4 * n + j);
-    int is = 8 * n + 2 * j + is0;
-    int shift = 2 * j;
-
-    int8_t us = is < 4 ? (x[i].scales[is - 0] & 0xF) | (((x[i].scales[is + 8] >> 0) & 3) << 4)
-              : is < 8 ? (x[i].scales[is - 0] & 0xF) | (((x[i].scales[is + 4] >> 2) & 3) << 4)
-              : is < 12  ? (x[i].scales[is - 8] >> 4) | (((x[i].scales[is + 0] >> 4) & 3) << 4)
-              : (x[i].scales[is - 8] >> 4) | (((x[i].scales[is - 4] >> 6) & 3) << 4);
-    float d_all = vload_half(0, &x[i].d);
-    float dl = d_all * (us - 32);
-
-    __global float *y = yy + get_group_id(0) * QK_K + 128 * n + 32 * j;
-    const __global uint8_t *q = x[i].qs + 32 * n;
-    const __global uint8_t *hm = x[i].hmask;
-
-    for (int l = l0; l < l0 + 4; ++l)
-        y[l] = dl * ((int8_t)((q[l] >> shift) & 3) - ((hm[l] & m) ? 0 : 4));
-}
-
-__kernel void dequantize_block_q4_K(__global const struct block_q4_K *x, __global float *yy)
-{
-    const int i = get_group_id(0) + get_global_offset(0);
-    const int tid = get_local_id(0);
-    const int il = tid / 8;
-    const int ir = tid % 8;
-    const int is = 2 * il;
-    const int n = 4;
-
-    __global float *y = yy + get_group_id(0) * QK_K + 64 * il + n * ir;
-
-    const float dall = vload_half(0, &x[i].d);
-    const float dmin = vload_half(0, &x[i].dmin);
-
-    __global const uint8_t *q = x[i].qs + 32 * il + n * ir;
-
-    uint8_t sc, m;
-    get_scale_min_k4(is + 0, x[i].scales, &sc, &m);
-    float d1 = dall * sc;
-    float m1 = dmin * m;
-    get_scale_min_k4(is + 1, x[i].scales, &sc, &m);
-    float d2 = dall * sc;
-    float m2 = dmin * m;
-    for (int l = 0; l < n; ++l)
-    {
-        y[l + 0] = d1 * (q[l] & 0xF) - m1;
-        y[l + 32] = d2 * (q[l] >> 4) - m2;
-    }
-}
-
-__kernel void dequantize_block_q5_K(__global const struct block_q5_K *x, __global float *yy)
-{
-    const int i = get_group_id(0) + get_global_offset(0);
-    const int tid = get_local_id(0);
-    const int il = tid / 16;
-    const int ir = tid % 16;
-    const int is = 2 * il;
-
-    __global float *y = yy + get_group_id(0) * QK_K + 64 * il + 2 * ir;
-
-    const float dall = vload_half(0, &x[i].d);
-    const float dmin = vload_half(0, &x[i].dmin);
-
-    __global const uint8_t *ql = x[i].qs + 32 * il + 2 * ir;
-    __global const uint8_t *qh = x[i].qh + 2 * ir;
-
-    uint8_t sc, m;
-    get_scale_min_k4(is + 0, x[i].scales, &sc, &m);
-    const float d1 = dall * sc;
-    const float m1 = dmin * m;
-    get_scale_min_k4(is + 1, x[i].scales, &sc, &m);
-    const float d2 = dall * sc;
-    const float m2 = dmin * m;
-
-    uint8_t hm = 1 << (2 * il);
-    y[0] = d1 * ((ql[0] & 0xF) + (qh[0] & hm ? 16 : 0)) - m1;
-    y[1] = d1 * ((ql[1] & 0xF) + (qh[1] & hm ? 16 : 0)) - m1;
-    hm <<= 1;
-    y[32] = d2 * ((ql[0] >> 4) + (qh[0] & hm ? 16 : 0)) - m2;
-    y[33] = d2 * ((ql[1] >> 4) + (qh[1] & hm ? 16 : 0)) - m2;
-}
-
-__kernel void dequantize_block_q6_K(__global const struct block_q6_K *x, __global float *yy)
-{
-    const int i = get_group_id(0) + get_global_offset(0);
-    const int tid = get_local_id(0);
-    const int ip = tid / 32;
-    const int il = tid - 32 * ip;
-    const int is = 8 * ip + il / 16;
-
-    __global float *y = yy + get_group_id(0) * QK_K + 128 * ip + il;
-
-    const float d = vload_half(0, &x[i].d);
-
-    __global const uint8_t *ql = x[i].ql + 64 * ip + il;
-    const uint8_t qh = x[i].qh[32 * ip + il];
-    __global const int8_t *sc = x[i].scales + is;
-
-    y[0] = d * sc[0] * ((int8_t)((ql[0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32);
-    y[32] = d * sc[2] * ((int8_t)((ql[32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32);
-    y[64] = d * sc[4] * ((int8_t)((ql[0] >> 4) | (((qh >> 4) & 3) << 4)) - 32);
-    y[96] = d * sc[6] * ((int8_t)((ql[32] >> 4) | (((qh >> 6) & 3) << 4)) - 32);
-}
-
-__kernel void dequantize_mul_mat_vec_q2_K(__global const struct block_q2_K * xx, __local float* tmp, __global float* yy, __global float* dst, const int ncols) {
-
-    const int row = get_group_id(0);
-
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row + get_global_offset(0);
-
-    __global const struct block_q2_K * x = xx + ib0;
-
-    const int tid = get_local_id(0)/K_QUANTS_PER_ITERATION;  // 0...31 or 0...15
-    const int ix  = get_local_id(0)%K_QUANTS_PER_ITERATION;  // 0 or 0,1
-
-    const int step = 16/K_QUANTS_PER_ITERATION;
-
-    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
-    const int in = tid - step*im;                        // 0...15 or 0...7
-
-    const int l0 = K_QUANTS_PER_ITERATION*in;            // 0...15 or 0...14 in steps of 2
-    const int q_offset = 32*im + l0;
-    const int s_offset = 8*im;
-    const int y_offset = 128*im + l0;
-
-    tmp[16 * ix + tid] = 0;
-
-    uint32_t aux[4];
-    const uint8_t * d = (const uint8_t *)aux;
-    const uint8_t * m = (const uint8_t *)(aux + 2);
-
-    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-
-        __global const float   * y = yy + i * QK_K + y_offset;
-        __global const uint8_t * q = x[i].qs + q_offset;
-
-        const float dall = vload_half(0, &x[i].d);
-        const float dmin = vload_half(0, &x[i].dmin);
-
-        __global const uint32_t * a = (__global const uint32_t *)(x[i].scales + s_offset);
-        aux[0] = a[0] & 0x0f0f0f0f;
-        aux[1] = a[1] & 0x0f0f0f0f;
-        aux[2] = (a[0] >> 4) & 0x0f0f0f0f;
-        aux[3] = (a[1] >> 4) & 0x0f0f0f0f;
-
-        float sum1 = 0, sum2 = 0;
-        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
-            sum1 += y[l+ 0] * d[0] * ((q[l+ 0] >> 0) & 3)
-                  + y[l+32] * d[2] * ((q[l+ 0] >> 2) & 3)
-                  + y[l+64] * d[4] * ((q[l+ 0] >> 4) & 3)
-                  + y[l+96] * d[6] * ((q[l+ 0] >> 6) & 3)
-                  + y[l+16] * d[1] * ((q[l+16] >> 0) & 3)
-                  + y[l+48] * d[3] * ((q[l+16] >> 2) & 3)
-                  + y[l+80] * d[5] * ((q[l+16] >> 4) & 3)
-                  +y[l+112] * d[7] * ((q[l+16] >> 6) & 3);
-            sum2 += y[l+ 0] * m[0] + y[l+32] * m[2] + y[l+64] * m[4] + y[ l+96] * m[6]
-                  + y[l+16] * m[1] + y[l+48] * m[3] + y[l+80] * m[5] + y[l+112] * m[7];
-
-        }
-        tmp[16 * ix + tid] += dall * sum1 - dmin * sum2;
-
-    }
-
-    // sum up partial sums and write back result
-    barrier(CLK_LOCAL_MEM_FENCE);
-    for (int s=16; s>0; s>>=1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-    if (tid == 0) {
-        dst[row] = tmp[0];
-    }
-}
-
-__kernel void dequantize_mul_mat_vec_q3_K(__global const struct block_q3_K * xx, __local float* tmp, __global float* yy, __global float* dst, const int ncols) {
-    const uint16_t kmask1 = 0x0303;
-    const uint16_t kmask2 = 0x0f0f;
-
-    const int row = get_group_id(0);
-
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row + get_global_offset(0);
-
-    __global const struct block_q3_K * x = xx + ib0;
-
-    const int tid = get_local_id(0)/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
-    const int ix  = get_local_id(0)%K_QUANTS_PER_ITERATION;  // 0 or 0,1
-
-    const int n  = K_QUANTS_PER_ITERATION;               // iterations in the inner loop
-    const int step = 16/K_QUANTS_PER_ITERATION;
-    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
-    const int in = tid - step*im;                        // 0....15 or 0...7
-
-    const uint8_t m = 1 << (4*im);
-
-    const int l0 = n*in;                                 // 0...15 or 0...14 in steps of 2
-    const int q_offset =  32*im + l0;
-    const int y_offset = 128*im + l0;
-
-    uint16_t utmp[4];
-    const int8_t * s = (const int8_t *)utmp;
-
-    const uint16_t s_shift = 4*im;
-
-    tmp[16 * ix + tid] = 0;
-
-    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-
-        __global const float   * y  = yy + i * QK_K + y_offset;
-        __global const uint8_t * q = x[i].qs + q_offset;
-        __global const uint8_t * h = x[i].hmask + l0;
-
-        __global const uint16_t * a = (__global const uint16_t *)x[i].scales;
-        utmp[0] = ((a[0] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 0)) & kmask1) << 4);
-        utmp[1] = ((a[1] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 0)) & kmask1) << 4);
-        utmp[2] = ((a[2] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 2)) & kmask1) << 4);
-        utmp[3] = ((a[3] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 2)) & kmask1) << 4);
-
-        const float d = vload_half(0, &x[i].d);
-
-        float sum = 0;
-        for (int l = 0; l < n; ++l) {
-            sum += y[l+ 0] * (s[0] - 32) * (((q[l] >> 0) & 3) - (h[l] & (m << 0) ? 0 : 4))
-                 + y[l+32] * (s[2] - 32) * (((q[l] >> 2) & 3) - (h[l] & (m << 1) ? 0 : 4))
-                 + y[l+64] * (s[4] - 32) * (((q[l] >> 4) & 3) - (h[l] & (m << 2) ? 0 : 4))
-                 + y[l+96] * (s[6] - 32) * (((q[l] >> 6) & 3) - (h[l] & (m << 3) ? 0 : 4));
-            sum += y[l+16] * (s[1] - 32) * (((q[l+16] >> 0) & 3) - (h[l+16] & (m << 0) ? 0 : 4))
-                 + y[l+48] * (s[3] - 32) * (((q[l+16] >> 2) & 3) - (h[l+16] & (m << 1) ? 0 : 4))
-                 + y[l+80] * (s[5] - 32) * (((q[l+16] >> 4) & 3) - (h[l+16] & (m << 2) ? 0 : 4))
-                + y[l+112] * (s[7] - 32) * (((q[l+16] >> 6) & 3) - (h[l+16] & (m << 3) ? 0 : 4));
-        }
-        tmp[16 * ix + tid] += d * sum;
-
-    }
-
-    // sum up partial sums and write back result
-    barrier(CLK_LOCAL_MEM_FENCE);
-    for (int s=16; s>0; s>>=1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-    if (tid == 0) {
-        dst[row] = tmp[0];
-    }
-}
-
-__kernel void dequantize_mul_mat_vec_q4_K(__global const struct block_q4_K * xx, __local float* tmp, __global float* yy, __global float* dst, const int ncols) {
-
-    //to rename it later, just to test now
-    const uint16_t kmask1 = 0x3f3f;
-    const uint16_t kmask2 = 0x0f0f;
-    const uint16_t kmask3 = 0xc0c0;
-
-    const int row = get_group_id(0);
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row + get_global_offset(0);
-
-    const int tid = get_local_id(0)/K_QUANTS_PER_ITERATION;  // 0...15
-    const int ix  = get_local_id(0)%K_QUANTS_PER_ITERATION;
-
-    const int step = 8/K_QUANTS_PER_ITERATION;
-
-    const int il  = tid/step;     // 0...3
-    const int ir  = tid - step*il;// 0...3
-    const int n   = 2*K_QUANTS_PER_ITERATION;
-
-    const int im = il/2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
-    const int in = il%2;
-
-    const int l0 = n*(2*ir + in);
-    const int q_offset = 32*im + l0;
-    const int y_offset = 64*im + l0;
-
-    uint16_t aux[4];
-    const uint8_t * sc = (const uint8_t *)aux;
-
-    __global const struct block_q4_K * x = xx + ib0;
-
-    tmp[16 * ix + tid] = 0;
-
-    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-
-        __global const uint8_t * q1 = x[i].qs + q_offset;
-        __global const uint8_t * q2 = q1 + 64;
-        __global const float   * y1 = yy + i*QK_K + y_offset;
-        __global const float   * y2 = y1 + 128;
-
-        const float dall = vload_half(0, &x[i].d);
-        const float dmin = vload_half(0, &x[i].dmin);
-
-        __global const uint16_t * a = (__global const uint16_t *)x[i].scales;
-        aux[0] = a[im+0] & kmask1;
-        aux[1] = a[im+2] & kmask1;
-        aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2);
-        aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2);
-
-        float4 s = (float4)(0.f);
-        float smin = 0;
-        for (int l = 0; l < n; ++l) {
-            s.x += y1[l] * (q1[l] & 0xF); s.y += y1[l+32] * (q1[l] >> 4);
-            s.z += y2[l] * (q2[l] & 0xF); s.w += y2[l+32] * (q2[l] >> 4);
-            smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7];
-        }
-        tmp[16 * ix + tid] += dall * (s.x * sc[0] + s.y * sc[1] + s.z * sc[4] + s.w * sc[5]) - dmin * smin;
-
-    }
-
-    // sum up partial sums and write back result
-    barrier(CLK_LOCAL_MEM_FENCE);
-    for (int s=16; s>0; s>>=1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-    if (tid == 0) {
-        dst[row] = tmp[0];
-    }
-}
-
-__kernel void dequantize_mul_mat_vec_q5_K(__global const struct block_q5_K * xx, __local float* tmp, __global float* yy, __global float* dst, const int ncols) {
-
-    const uint16_t kmask1 = 0x3f3f;
-    const uint16_t kmask2 = 0x0f0f;
-    const uint16_t kmask3 = 0xc0c0;
-
-    const int row = get_group_id(0);
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row + get_global_offset(0);
-
-    const int tid = get_local_id(0)/2;  // 0...15
-    const int ix  = get_local_id(0)%2;
-
-    const int il  = tid/4;     // 0...3
-    const int ir  = tid - 4*il;// 0...3
-    const int n   = 2;
-
-    const int im = il/2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
-    const int in = il%2;
-
-    const int l0 = n*(2*ir + in);
-    const int q_offset = 32*im + l0;
-    const int y_offset = 64*im + l0;
-
-    const uint8_t hm1  = 1 << (2*im);
-    const uint8_t hm2  = hm1 << 4;
-
-    uint16_t aux[4];
-    const uint8_t * sc = (const uint8_t *)aux;
-
-    __global const struct block_q5_K * x = xx + ib0;
-
-    tmp[16 * ix + tid] = 0;
-
-    for (int i = ix; i < num_blocks_per_row; i += 2) {
-
-        __global const uint8_t * ql1 = x[i].qs + q_offset;
-        __global const uint8_t * ql2 = ql1 + 64;
-        __global const uint8_t * qh  = x[i].qh + l0;
-        __global const float   * y1  = yy + i*QK_K + y_offset;
-        __global const float   * y2  = y1 + 128;
-
-        const float dall = vload_half(0, &x[i].d);
-        const float dmin = vload_half(0, &x[i].dmin);
-
-        __global const uint16_t * a = (__global const uint16_t *)x[i].scales;
-        aux[0] = a[im+0] & kmask1;
-        aux[1] = a[im+2] & kmask1;
-        aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2);
-        aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2);
-
-        float4 sum = (float4)(0.f);
-        float smin = 0;
-        for (int l = 0; l < n; ++l) {
-            sum.x += y1[l+ 0] * ((ql1[l+ 0] & 0xF) + (qh[l+ 0] & (hm1 << 0) ? 16 : 0))
-                   + y1[l+16] * ((ql1[l+16] & 0xF) + (qh[l+16] & (hm1 << 0) ? 16 : 0));
-            sum.y += y1[l+32] * ((ql1[l+ 0] >>  4) + (qh[l+ 0] & (hm1 << 1) ? 16 : 0))
-                   + y1[l+48] * ((ql1[l+16] >>  4) + (qh[l+16] & (hm1 << 1) ? 16 : 0));
-            sum.z += y2[l+ 0] * ((ql2[l+ 0] & 0xF) + (qh[l+ 0] & (hm2 << 0) ? 16 : 0))
-                   + y2[l+16] * ((ql2[l+16] & 0xF) + (qh[l+16] & (hm2 << 0) ? 16 : 0));
-            sum.w += y2[l+32] * ((ql2[l+ 0] >>  4) + (qh[l+ 0] & (hm2 << 1) ? 16 : 0))
-                   + y2[l+48] * ((ql2[l+16] >>  4) + (qh[l+16] & (hm2 << 1) ? 16 : 0));
-            smin += (y1[l] + y1[l+16]) * sc[2] + (y1[l+32] + y1[l+48]) * sc[3]
-                  + (y2[l] + y2[l+16]) * sc[6] + (y2[l+32] + y2[l+48]) * sc[7];
-        }
-        tmp[16 * ix + tid] += dall * (sum.x * sc[0] + sum.y * sc[1] + sum.z * sc[4] + sum.w * sc[5]) - dmin * smin;
-
-    }
-
-    // sum up partial sums and write back result
-    barrier(CLK_LOCAL_MEM_FENCE);
-    for (int s=16; s>0; s>>=1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-    if (tid == 0) {
-        dst[row] = tmp[0];
-    }
-}
-
-__kernel void dequantize_mul_mat_vec_q6_K(__global const struct block_q6_K * xx, __local float* tmp, __global const float * yy, __global float * dst, const int ncols) {
-
-    const int row = get_group_id(0);
-
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row + get_global_offset(0);
-
-    __global const struct block_q6_K * x = xx + ib0;
-
-    const int tid = get_local_id(0)/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
-    const int ix  = get_local_id(0)%K_QUANTS_PER_ITERATION;  // 0 or 0, 1
-
-    const int step = 16/K_QUANTS_PER_ITERATION;          // 16 or 8
-
-    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
-    const int in = tid - step*im;                        // 0...15 or 0...7
-
-\n#if K_QUANTS_PER_ITERATION == 1\n
-    const int l0 = K_QUANTS_PER_ITERATION*in;            // 0...15
-    const int is = 0;
-
-\n#else\n
-
-    const int l0 = 4 * in;                               // 0, 4, 8, ..., 28
-    const int is = in / 4;
-
-\n#endif\n
-
-    const int ql_offset = 64*im + l0;
-    const int qh_offset = 32*im + l0;
-    const int s_offset  =  8*im + is;
-    const int y_offset = 128*im + l0;
-
-    tmp[16 * ix + tid] = 0; // partial sum for thread in warp
-
-    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-
-        __global const float   * y  = yy + i * QK_K + y_offset;
-        __global const uint8_t * ql = x[i].ql + ql_offset;
-        __global const uint8_t * qh = x[i].qh + qh_offset;
-        __global const int8_t  * s  = x[i].scales + s_offset;
-
-        const float d = vload_half(0, &x[i].d);
-
-\n#if K_QUANTS_PER_ITERATION == 1\n
-        float sum = y[ 0] * s[0] * d * ((int8_t)((ql[ 0] & 0xF) | ((qh[ 0] & 0x03) << 4)) - 32)
-                  + y[16] * s[1] * d * ((int8_t)((ql[16] & 0xF) | ((qh[16] & 0x03) << 4)) - 32)
-                  + y[32] * s[2] * d * ((int8_t)((ql[32] & 0xF) | ((qh[ 0] & 0x0c) << 2)) - 32)
-                  + y[48] * s[3] * d * ((int8_t)((ql[48] & 0xF) | ((qh[16] & 0x0c) << 2)) - 32)
-                  + y[64] * s[4] * d * ((int8_t)((ql[ 0]  >> 4) | ((qh[ 0] & 0x30) >> 0)) - 32)
-                  + y[80] * s[5] * d * ((int8_t)((ql[16]  >> 4) | ((qh[16] & 0x30) >> 0)) - 32)
-                  + y[96] * s[6] * d * ((int8_t)((ql[32]  >> 4) | ((qh[ 0] & 0xc0) >> 2)) - 32)
-                  +y[112] * s[7] * d * ((int8_t)((ql[48]  >> 4) | ((qh[16] & 0xc0) >> 2)) - 32);
-        tmp[16 * ix + tid] += sum;
-\n#else\n
-        float sum = 0;
-        for (int l = 0; l < 4; ++l) {
-            sum += y[l+ 0] * s[0] * d * ((int8_t)((ql[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32)
-                 + y[l+32] * s[2] * d * ((int8_t)((ql[l+32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32)
-                 + y[l+64] * s[4] * d * ((int8_t)((ql[l+ 0]  >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32)
-                 + y[l+96] * s[6] * d * ((int8_t)((ql[l+32]  >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32);
-        }
-        tmp[16 * ix + tid] += sum;
-\n#endif\n
-
-    }
-
-    // sum up partial sums and write back result
-    barrier(CLK_LOCAL_MEM_FENCE);
-    for (int s=16; s>0; s>>=1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-    if (tid == 0) {
-        dst[row] = tmp[0];
-    }
-}
-);
-
-
-std::string dequant_template = MULTILINE_QUOTE(
-__kernel void KERNEL_NAME(__global X_TYPE* x, __global float* y) {
-    const int i = get_group_id(0)*get_local_size(0) + get_local_id(0)*2;
-
-    if (i >= get_global_size(0)) {
-        return;
-    }
-
-    const uint qk = QUANT_K;
-    const uint qr = QUANT_R;
-
-    const int ib = i/qk + get_global_offset(0); // block index
-    const int iqs = (i%qk)/qr; // quant index
-    const int iybs = i - i%qk; // y block start index
-    const int y_offset = qr == 1 ? 1 : qk/2;
-
-    // dequantize
-    float v0, v1;
-    DEQUANT_FUNC(x, ib, iqs, &v0, &v1);
-    y[iybs + iqs + 0] = v0;
-    y[iybs + iqs + y_offset] = v1;
-}
-);
-
-std::string dequant_mul_mat_vec_template = MULTILINE_QUOTE(
-__kernel void KERNEL_NAME(__global X_TYPE* x, __local float* tmp, __global float* y, __global float* dst, const int ncols) {
-    const int local_size = get_local_size(0);
-    const int row = get_group_id(0);
-    const int tid = get_local_id(0);
-
-    const uint qk = QUANT_K;
-    const uint qr = QUANT_R;
-
-    const int col_step = local_size * 2;
-    const int y_offset = qr == 1 ? 1 : qk/2;
-
-    x += get_global_offset(0);
-
-    tmp[tid] = 0;
-
-    for (int col = tid*2; col < ncols; col += col_step) {
-        const int ib = (row*ncols + col)/qk; // block index
-        const int iqs = (col%qk)/qr; // quant index
-        const int iybs = col - col%qk; // y block start index
-
-        // dequantize
-        float v0, v1;
-        DEQUANT_FUNC(x, ib, iqs, &v0, &v1);
-
-        // matrix multiplication
-        tmp[tid] += v0 * y[iybs + iqs + 0];
-        tmp[tid] += v1 * y[iybs + iqs + y_offset];
-    }
-
-    // sum up partial sums and write back result
-    barrier(CLK_LOCAL_MEM_FENCE);
-    for (int s=local_size/2; s>0; s>>=1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-    if (tid == 0) {
-        dst[row] = tmp[0];
-    }
-}
-
-);
-
-
-std::string mul_template = MULTILINE_QUOTE(
-__kernel void KERNEL_NAME(__global TYPE* x, const int x_offset, __global TYPE* y, const int y_offset, __global TYPE* dst, const int dst_offset, const int ky) {
-    const int i = get_group_id(0)*get_local_size(0) + get_local_id(0);
-
-    if (i >= get_global_size(0)) {
-        return;
-    }
-
-    dst[dst_offset + i] = x[x_offset + i] * y[y_offset + i%ky];
-}
-);
-
-std::string add_template = MULTILINE_QUOTE(
-__kernel void add_f32(__global float * x, const int x_offset, __global float * y, const int y_offset, __global float * dst, const int dst_offset, const int ky) {
-    const int i = get_group_id(0)*get_local_size(0) + get_local_id(0);
-
-    if (i >= get_global_size(0)) {
-        return;
-    }
-
-    dst[dst_offset + i] = x[x_offset + i] + y[y_offset + i%ky];
-}
-);
-
-#define CL_CHECK(err)                                               \
-    do {                                                            \
-        cl_int err_ = (err);                                        \
-        if (err_ != CL_SUCCESS) {                                   \
-            fprintf(stderr, "ggml_opencl: %s error %d at %s:%d\n",  \
-                #err, err_, __FILE__, __LINE__);                    \
-            exit(1);                                                \
-        }                                                           \
-    } while (0)
-
-#define CLBLAST_CHECK(err)                                          \
-    do {                                                            \
-        CLBlastStatusCode err_ = (err);                             \
-        if (err_ != CLBlastSuccess) {                               \
-            fprintf(stderr, "ggml_opencl: %s error %d at %s:%d\n",  \
-                #err, err_, __FILE__, __LINE__);                    \
-            exit(1);                                                \
-        }                                                           \
-    } while (0)
-
-std::array<std::string, 5> dequant_str_keys = {
-    "KERNEL_NAME", "X_TYPE", "QUANT_K", "QUANT_R", "DEQUANT_FUNC"
-};
-
-std::array<std::string, 30> dequant_str_values = {
-    "dequantize_row_q4_0", "struct block_q4_0", "QK4_0", "QR4_0", "dequantize_q4_0",
-    "dequantize_row_q4_1", "struct block_q4_1", "QK4_1", "QR4_1", "dequantize_q4_1",
-    "dequantize_row_q5_0", "struct block_q5_0", "QK5_0", "QR5_0", "dequantize_q5_0",
-    "dequantize_row_q5_1", "struct block_q5_1", "QK5_1", "QR5_1", "dequantize_q5_1",
-    "dequantize_row_q8_0", "struct block_q8_0", "QK8_0", "QR8_0", "dequantize_q8_0",
-    "convert_row_f16", "half", "1", "1", "convert_f16"
-};
-
-std::array<std::string, 30> dequant_mul_mat_vec_str_values = {
-    "dequantize_mul_mat_vec_q4_0", "struct block_q4_0", "QK4_0", "QR4_0", "dequantize_q4_0",
-    "dequantize_mul_mat_vec_q4_1", "struct block_q4_1", "QK4_1", "QR4_1", "dequantize_q4_1",
-    "dequantize_mul_mat_vec_q5_0", "struct block_q5_0", "QK5_0", "QR5_0", "dequantize_q5_0",
-    "dequantize_mul_mat_vec_q5_1", "struct block_q5_1", "QK5_1", "QR5_1", "dequantize_q5_1",
-    "dequantize_mul_mat_vec_q8_0", "struct block_q8_0", "QK8_0", "QR8_0", "dequantize_q8_0",
-    "convert_mul_mat_vec_f16", "half", "1", "1", "convert_f16"
-};
-
-std::array<std::string, 2> mul_str_keys = {
-    "KERNEL_NAME", "TYPE"
-};
-std::array<std::string, 2> mul_str_values = {
-    "mul_f32", "float"
-};
-
-static std::string& replace(std::string& s, const std::string& from, const std::string& to) {
-    size_t pos = 0;
-    while ((pos = s.find(from, pos)) != std::string::npos) {
-         s.replace(pos, from.length(), to);
-         pos += to.length();
-    }
-    return s;
-}
-
-static std::string generate_kernels() {
-    std::stringstream src;
-    src << program_source << '\n';
-    src << k_quants_source << '\n';
-    for (size_t i = 0; i < dequant_str_values.size(); i += dequant_str_keys.size()) {
-        std::string dequant_kernel = dequant_template;
-        std::string dmmv_kernel = dequant_mul_mat_vec_template;
-        for (size_t j = 0; j < dequant_str_keys.size(); j++) {
-            replace(dequant_kernel, dequant_str_keys[j], dequant_str_values[i + j]);
-            replace(dmmv_kernel, dequant_str_keys[j], dequant_mul_mat_vec_str_values[i + j]);
-        }
-        src << dequant_kernel << '\n';
-        src << dmmv_kernel << '\n';
-    }
-    for (size_t i = 0; i < mul_str_values.size(); i += mul_str_keys.size()) {
-        std::string mul_kernel = mul_template;
-        for (size_t j = 0; j < mul_str_keys.size(); j++) {
-            replace(mul_kernel, mul_str_keys[j], mul_str_values[i + j]);
-        }
-        src << mul_kernel << '\n';
-    }
-    src << add_template << '\n';
-
-    return src.str();
-}
-
-static cl_platform_id platform;
-static cl_device_id device;
-static cl_context context;
-static cl_command_queue queue;
-static cl_program program;
-static cl_kernel convert_row_f16_cl;
-static cl_kernel dequantize_row_q4_0_cl, dequantize_row_q4_1_cl, dequantize_row_q5_0_cl, dequantize_row_q5_1_cl, dequantize_row_q8_0_cl;
-static cl_kernel dequantize_mul_mat_vec_q4_0_cl, dequantize_mul_mat_vec_q4_1_cl, dequantize_mul_mat_vec_q5_0_cl, dequantize_mul_mat_vec_q5_1_cl, dequantize_mul_mat_vec_q8_0_cl, convert_mul_mat_vec_f16_cl;
-static cl_kernel dequantize_block_q2_k_cl, dequantize_block_q3_k_cl, dequantize_block_q4_k_cl, dequantize_block_q5_k_cl, dequantize_block_q6_k_cl;
-static cl_kernel dequantize_mul_mat_vec_q2_K_cl, dequantize_mul_mat_vec_q3_K_cl, dequantize_mul_mat_vec_q4_K_cl, dequantize_mul_mat_vec_q5_K_cl, dequantize_mul_mat_vec_q6_K_cl;
-static cl_kernel mul_f32_cl;
-static cl_kernel add_f32_cl;
-static bool fp16_support;
-
-static cl_program build_program_from_source(cl_context ctx, cl_device_id dev, const char* program_buffer) {
-    cl_program p;
-    char *program_log;
-    size_t program_size;
-    size_t log_size;
-    int err;
-
-    program_size = strlen(program_buffer);
-
-    p = clCreateProgramWithSource(ctx, 1, (const char**)&program_buffer, &program_size, &err);
-    if(err < 0) {
-        fprintf(stderr, "OpenCL error creating program");
-        exit(1);
-    }
-
-    std::string compile_opts = "-cl-mad-enable -cl-unsafe-math-optimizations -cl-finite-math-only -cl-fast-relaxed-math "
-                               "-DQK4_0=32 -DQR4_0=2 -DQK4_1=32 -DQR4_1=2 -DQK5_0=32 -DQR5_0=2 -DQK5_1=32 -DQR5_1=2 -DQK8_0=32 -DQR8_0=1 "
-                               "-DQK_K=256 -DK_QUANTS_PER_ITERATION=" + std::to_string(K_QUANTS_PER_ITERATION);
-
-    err = clBuildProgram(p, 0, NULL, compile_opts.c_str(), NULL, NULL);
-    if(err < 0) {
-
-        clGetProgramBuildInfo(p, dev, CL_PROGRAM_BUILD_LOG, 0, NULL, &log_size);
-        program_log = (char*) malloc(log_size + 1);
-        program_log[log_size] = '\0';
-        clGetProgramBuildInfo(p, dev, CL_PROGRAM_BUILD_LOG, log_size + 1, program_log, NULL);
-        fprintf(stderr, "ggml_opencl: kernel compile error:\n\n%s\n", program_log);
-        free(program_log);
-        exit(1);
-    }
-
-    return p;
-}
-
-void ggml_cl_init(void) {
-    static bool initialized = false;
-    if (initialized) {
-        return;
-    }
-    initialized = true;
-
-    cl_int err;
-
-    struct cl_device;
-    struct cl_platform {
-        cl_platform_id id;
-        unsigned number;
-        char name[128];
-        char vendor[128];
-        struct cl_device * devices;
-        unsigned n_devices;
-        struct cl_device * default_device;
-    };
-
-    struct cl_device {
-        struct cl_platform * platform;
-        cl_device_id id;
-        unsigned number;
-        cl_device_type type;
-        char name[128];
-    };
-
-    enum { NPLAT = 16, NDEV = 16 };
-
-    struct cl_platform platforms[NPLAT];
-    unsigned n_platforms = 0;
-    struct cl_device devices[NDEV];
-    unsigned n_devices = 0;
-    struct cl_device * default_device = NULL;
-
-    platform = NULL;
-    device = NULL;
-
-    cl_platform_id platform_ids[NPLAT];
-    CL_CHECK(clGetPlatformIDs(NPLAT, platform_ids, &n_platforms));
-
-    for (unsigned i = 0; i < n_platforms; i++) {
-        struct cl_platform * p = &platforms[i];
-        p->number = i;
-        p->id = platform_ids[i];
-        CL_CHECK(clGetPlatformInfo(p->id, CL_PLATFORM_NAME, sizeof(p->name), &p->name, NULL));
-        CL_CHECK(clGetPlatformInfo(p->id, CL_PLATFORM_VENDOR, sizeof(p->vendor), &p->vendor, NULL));
-
-        cl_device_id device_ids[NDEV];
-        cl_int clGetDeviceIDsError = clGetDeviceIDs(p->id, CL_DEVICE_TYPE_ALL, NDEV, device_ids, &p->n_devices);
-        if (clGetDeviceIDsError == CL_DEVICE_NOT_FOUND) {
-            p->n_devices = 0;
-        } else {
-            CL_CHECK(clGetDeviceIDsError);
-        }
-        p->devices = p->n_devices > 0 ? &devices[n_devices] : NULL;
-        p->default_device = NULL;
-
-        for (unsigned j = 0; j < p->n_devices; j++) {
-            struct cl_device * d = &devices[n_devices];
-            d->number = n_devices++;
-            d->id = device_ids[j];
-            d->platform = p;
-            CL_CHECK(clGetDeviceInfo(d->id, CL_DEVICE_NAME, sizeof(d->name), &d->name, NULL));
-            CL_CHECK(clGetDeviceInfo(d->id, CL_DEVICE_TYPE, sizeof(d->type), &d->type, NULL));
-
-            if (p->default_device == NULL && d->type == CL_DEVICE_TYPE_GPU) {
-                p->default_device = d;
-            }
-        }
-
-        if (default_device == NULL && p->default_device != NULL) {
-            default_device = p->default_device;
-        }
-    }
-
-    if (n_devices == 0) {
-        fprintf(stderr, "ggml_opencl: could find any OpenCL devices.\n");
-        exit(1);
-    }
-
-    char * user_platform_string = getenv("GGML_OPENCL_PLATFORM");
-    char * user_device_string = getenv("GGML_OPENCL_DEVICE");
-    int user_platform_number = -1;
-    int user_device_number = -1;
-
-    unsigned n;
-    if (user_platform_string != NULL && sscanf(user_platform_string, " %u", &n) == 1 && n < n_platforms) {
-        user_platform_number = (int)n;
-    }
-    if (user_device_string != NULL && sscanf(user_device_string, " %u", &n) == 1 && n < n_devices) {
-        user_device_number = (int)n;
-    }
-    if (user_platform_number != -1 && user_device_number != -1) {
-        cl_platform* platform = &platforms[user_platform_number];
-        if ((unsigned)user_device_number >= platform->n_devices) {
-            fprintf(stderr, "ggml_opencl: invalid device number %d\n", user_device_number);
-            exit(1);
-        }
-        default_device = &platform->devices[user_device_number];
-    } else {
-
-        struct cl_device * selected_devices = devices;
-        unsigned n_selected_devices = n_devices;
-
-        if (user_platform_number == -1 && user_platform_string != NULL && user_platform_string[0] != 0) {
-            for (unsigned i = 0; i < n_platforms; i++) {
-                struct cl_platform * p = &platforms[i];
-                if (strstr(p->name, user_platform_string) != NULL ||
-                    strstr(p->vendor, user_platform_string) != NULL) {
-                    user_platform_number = (int)i;
-                    break;
-                }
-            }
-            if (user_platform_number == -1) {
-                fprintf(stderr, "ggml_opencl: no platform matching '%s' was found.\n", user_platform_string);
-                exit(1);
-            }
-        }
-        if (user_platform_number != -1) {
-            struct cl_platform * p = &platforms[user_platform_number];
-            selected_devices = p->devices;
-            n_selected_devices = p->n_devices;
-            default_device = p->default_device;
-            if (n_selected_devices == 0) {
-                fprintf(stderr, "ggml_opencl: selected platform '%s' does not have any devices.\n", p->name);
-                exit(1);
-            }
-        }
-
-        if (user_device_number == -1 && user_device_string != NULL && user_device_string[0] != 0) {
-            for (unsigned i = 0; i < n_selected_devices; i++) {
-                struct cl_device * d = &selected_devices[i];
-                if (strstr(d->name, user_device_string) != NULL) {
-                    user_device_number = d->number;
-                    break;
-                }
-            }
-            if (user_device_number == -1) {
-                fprintf(stderr, "ggml_opencl: no device matching '%s' was found.\n", user_device_string);
-                exit(1);
-            }
-        }
-        if (user_device_number != -1) {
-            selected_devices = &devices[user_device_number];
-            n_selected_devices = 1;
-            default_device = &selected_devices[0];
-        }
-
-        GGML_ASSERT(n_selected_devices > 0);
-
-        if (default_device == NULL) {
-            default_device = &selected_devices[0];
-        }
-    }
-
-    fprintf(stderr, "ggml_opencl: selecting platform: '%s'\n", default_device->platform->name);
-    fprintf(stderr, "ggml_opencl: selecting device: '%s'\n", default_device->name);
-    if (default_device->type != CL_DEVICE_TYPE_GPU) {
-        fprintf(stderr, "ggml_opencl: warning, not a GPU: '%s'.\n", default_device->name);
-    }
-
-    platform = default_device->platform->id;
-    device = default_device->id;
-
-    size_t ext_str_size;
-    clGetDeviceInfo(device, CL_DEVICE_EXTENSIONS, 0, NULL, &ext_str_size);
-    char *ext_buffer = (char *)alloca(ext_str_size + 1);
-    clGetDeviceInfo(device, CL_DEVICE_EXTENSIONS, ext_str_size, ext_buffer, NULL);
-    ext_buffer[ext_str_size] = '\0'; // ensure it is null terminated
-    // Disabled due to faulty outputs
-    // Check if ext_buffer contains cl_khr_fp16
-    fp16_support = false;  // strstr(ext_buffer, "cl_khr_fp16") != NULL;
-    // fprintf(stderr, "ggml_opencl: device FP16 support: %s\n", fp16_support ? "true" : "false");
-
-    cl_context_properties properties[] = {
-        (intptr_t)CL_CONTEXT_PLATFORM, (intptr_t)platform, 0
-    };
-
-    CL_CHECK((context = clCreateContext(properties, 1, &device, NULL, NULL, &err), err));
-
-    CL_CHECK((queue = clCreateCommandQueue(context, device, CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE, &err),
-        (err != CL_INVALID_QUEUE_PROPERTIES && err != CL_INVALID_VALUE ? err :
-        (queue = clCreateCommandQueue(context, device, 0, &err), err)
-    )));
-
-    const std::string kernel_src = generate_kernels();
-
-    program = build_program_from_source(context, device, kernel_src.c_str());
-
-    // FP16 to FP32 kernel
-    CL_CHECK((convert_row_f16_cl = clCreateKernel(program, "convert_row_f16", &err), err));
-
-    // Dequantize kernels
-    CL_CHECK((dequantize_row_q4_0_cl = clCreateKernel(program, "dequantize_row_q4_0", &err), err));
-    CL_CHECK((dequantize_row_q4_1_cl = clCreateKernel(program, "dequantize_row_q4_1", &err), err));
-    CL_CHECK((dequantize_row_q5_0_cl = clCreateKernel(program, "dequantize_row_q5_0", &err), err));
-    CL_CHECK((dequantize_row_q5_1_cl = clCreateKernel(program, "dequantize_row_q5_1", &err), err));
-    CL_CHECK((dequantize_row_q8_0_cl = clCreateKernel(program, "dequantize_row_q8_0", &err), err));
-    CL_CHECK((dequantize_row_q8_0_cl = clCreateKernel(program, "dequantize_row_q8_0", &err), err));
-    CL_CHECK((dequantize_block_q2_k_cl = clCreateKernel(program, "dequantize_block_q2_K", &err), err));
-    CL_CHECK((dequantize_block_q3_k_cl = clCreateKernel(program, "dequantize_block_q3_K", &err), err));
-    CL_CHECK((dequantize_block_q4_k_cl = clCreateKernel(program, "dequantize_block_q4_K", &err), err));
-    CL_CHECK((dequantize_block_q5_k_cl = clCreateKernel(program, "dequantize_block_q5_K", &err), err));
-    CL_CHECK((dequantize_block_q6_k_cl = clCreateKernel(program, "dequantize_block_q6_K", &err), err));
-
-    // dequant mul mat kernel
-    CL_CHECK((dequantize_mul_mat_vec_q4_0_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q4_0", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q4_1_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q4_1", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q5_0_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q5_0", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q5_1_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q5_1", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q8_0_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q8_0", &err), err));
-    CL_CHECK((convert_mul_mat_vec_f16_cl = clCreateKernel(program, "convert_mul_mat_vec_f16", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q2_K_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q2_K", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q3_K_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q3_K", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q4_K_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q4_K", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q5_K_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q5_K", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q6_K_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q6_K", &err), err));
-
-    // mul kernel
-    CL_CHECK((mul_f32_cl = clCreateKernel(program, "mul_f32", &err), err));
-
-    CL_CHECK((add_f32_cl = clCreateKernel(program, "add_f32", &err), err));
-}
-
-static cl_kernel* ggml_get_to_fp32_cl(ggml_type type) {
-    switch (type) {
-        case GGML_TYPE_Q4_0:
-            return &dequantize_row_q4_0_cl;
-        case GGML_TYPE_Q4_1:
-            return &dequantize_row_q4_1_cl;
-        case GGML_TYPE_Q5_0:
-            return &dequantize_row_q5_0_cl;
-        case GGML_TYPE_Q5_1:
-            return &dequantize_row_q5_1_cl;
-        case GGML_TYPE_Q8_0:
-            return &dequantize_row_q8_0_cl;
-        case GGML_TYPE_Q2_K:
-            return &dequantize_block_q2_k_cl;
-        case GGML_TYPE_Q3_K:
-            return &dequantize_block_q3_k_cl;
-        case GGML_TYPE_Q4_K:
-            return &dequantize_block_q4_k_cl;
-        case GGML_TYPE_Q5_K:
-            return &dequantize_block_q5_k_cl;
-        case GGML_TYPE_Q6_K:
-            return &dequantize_block_q6_k_cl;
-        case GGML_TYPE_F16:
-            return &convert_row_f16_cl;
-        default:
-            return nullptr;
-    }
-}
-
-static size_t ggml_cl_global_denom(ggml_type type) {
-    switch (type) {
-        case GGML_TYPE_Q4_0:
-        case GGML_TYPE_Q4_1:
-        case GGML_TYPE_Q5_0:
-        case GGML_TYPE_Q5_1:
-        case GGML_TYPE_Q8_0:
-            return 1;
-        case GGML_TYPE_Q2_K:
-        case GGML_TYPE_Q3_K:
-            return 4;
-        case GGML_TYPE_Q4_K:
-            return 8;
-        case GGML_TYPE_Q5_K:
-        case GGML_TYPE_Q6_K:
-            return 4;
-        case GGML_TYPE_F16:
-        default:
-            return 1;
-    }
-}
-
-static size_t ggml_cl_local_size(ggml_type type) {
-    switch (type) {
-        case GGML_TYPE_Q4_0:
-        case GGML_TYPE_Q4_1:
-        case GGML_TYPE_Q5_0:
-        case GGML_TYPE_Q5_1:
-        case GGML_TYPE_Q8_0:
-            return 0;
-        case GGML_TYPE_Q2_K:
-        case GGML_TYPE_Q3_K:
-            return 64;
-        case GGML_TYPE_Q4_K:
-            return 32;
-        case GGML_TYPE_Q5_K:
-        case GGML_TYPE_Q6_K:
-            return 64;
-        case GGML_TYPE_F16:
-        default:
-            return 0;
-    }
-}
-
-static cl_kernel* ggml_get_dequantize_mul_mat_vec_cl(ggml_type type) {
-    switch (type) {
-        case GGML_TYPE_Q4_0:
-            return &dequantize_mul_mat_vec_q4_0_cl;
-        case GGML_TYPE_Q4_1:
-            return &dequantize_mul_mat_vec_q4_1_cl;
-        case GGML_TYPE_Q5_0:
-            return &dequantize_mul_mat_vec_q5_0_cl;
-        case GGML_TYPE_Q5_1:
-            return &dequantize_mul_mat_vec_q5_1_cl;
-        case GGML_TYPE_Q8_0:
-            return &dequantize_mul_mat_vec_q8_0_cl;
-        case GGML_TYPE_F16:
-            return &convert_mul_mat_vec_f16_cl;
-        case GGML_TYPE_Q2_K:
-            return &dequantize_mul_mat_vec_q2_K_cl;
-        case GGML_TYPE_Q3_K:
-            return &dequantize_mul_mat_vec_q3_K_cl;
-        case GGML_TYPE_Q4_K:
-            return &dequantize_mul_mat_vec_q4_K_cl;
-        case GGML_TYPE_Q5_K:
-            return &dequantize_mul_mat_vec_q5_K_cl;
-        case GGML_TYPE_Q6_K:
-            return &dequantize_mul_mat_vec_q6_K_cl;
-        default:
-            return nullptr;
-    }
-}
-
-// buffer pool for cl
-#define MAX_CL_BUFFERS 256
-
-struct scoped_spin_lock {
-    std::atomic_flag& lock;
-    scoped_spin_lock(std::atomic_flag& lock) : lock(lock) {
-        while (lock.test_and_set(std::memory_order_acquire)) {
-            ; // spin
-        }
-    }
-    ~scoped_spin_lock() {
-        lock.clear(std::memory_order_release);
-    }
-    scoped_spin_lock(const scoped_spin_lock&) = delete;
-    scoped_spin_lock& operator=(const scoped_spin_lock&) = delete;
-};
-
-struct cl_buffer {
-    cl_mem mem;
-    size_t size = 0;
-};
-
-static cl_buffer g_cl_buffer_pool[MAX_CL_BUFFERS];
-static std::atomic_flag g_cl_pool_lock = ATOMIC_FLAG_INIT;
-
-static cl_mem ggml_cl_pool_malloc(size_t size, size_t * actual_size) {
-    scoped_spin_lock lock(g_cl_pool_lock);
-    cl_int err;
-
-    int best_i = -1;
-    size_t best_size = std::numeric_limits<size_t>::max(); //smallest unused buffer that fits our needs
-    int worst_i = -1;
-    size_t worst_size = 0; //largest unused buffer seen so far
-    for (int i = 0; i < MAX_CL_BUFFERS; ++i) {
-        cl_buffer &b = g_cl_buffer_pool[i];
-        if (b.size > 0 && b.size >= size && b.size < best_size)
-        {
-            best_i = i;
-            best_size = b.size;
-        }
-        if (b.size > 0 && b.size > worst_size)
-        {
-            worst_i = i;
-            worst_size = b.size;
-        }
-    }
-    if(best_i!=-1) //found the smallest buffer that fits our needs
-    {
-        cl_buffer& b = g_cl_buffer_pool[best_i];
-        cl_mem mem = b.mem;
-        *actual_size = b.size;
-        b.size = 0;
-        return mem;
-    }
-    if(worst_i!=-1) //no buffer that fits our needs, resize largest one to save memory
-    {
-         cl_buffer& b = g_cl_buffer_pool[worst_i];
-         cl_mem mem = b.mem;
-         b.size = 0;
-         clReleaseMemObject(mem);
-    }
-    cl_mem mem;
-    CL_CHECK((mem = clCreateBuffer(context, CL_MEM_READ_WRITE, size, NULL, &err), err));
-    *actual_size = size;
-    return mem;
-}
-
-static void ggml_cl_pool_free(cl_mem mem, size_t size) {
-    scoped_spin_lock lock(g_cl_pool_lock);
-
-    for (int i = 0; i < MAX_CL_BUFFERS; ++i) {
-        cl_buffer& b = g_cl_buffer_pool[i];
-        if (b.size == 0) {
-            b.mem = mem;
-            b.size = size;
-            return;
-        }
-    }
-    fprintf(stderr, "WARNING: cl buffer pool full, increase MAX_CL_BUFFERS\n");
-    clReleaseMemObject(mem);
-}
-
-void ggml_cl_free_data(const struct ggml_tensor* tensor) {
-    if (tensor->backend != GGML_BACKEND_TYPE_GPU) {
-        return;
-    }
-
-    cl_mem mem = (cl_mem)tensor->extra;
-    clReleaseMemObject(mem);
-}
-
-static cl_int ggml_cl_h2d_tensor_2d(cl_command_queue queue, cl_mem dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, cl_event* ev) {
-    cl_int err;
-    const uint64_t ne0 = src->ne[0];
-    const uint64_t ne1 = src->ne[1];
-    const uint64_t nb0 = src->nb[0];
-    const uint64_t nb1 = src->nb[1];
-    const uint64_t nb2 = src->nb[2];
-    const uint64_t nb3 = src->nb[3];
-    const enum ggml_type type = src->type;
-    const size_t ts = ggml_type_size(type);
-    const size_t bs = ggml_blck_size(type);
-    const uint64_t row_size = ts*ne0/bs;
-
-    const char * x = (const char *) src->data + i2*nb2 + i3*nb3;
-    if (nb0 == ts && nb1 == row_size) {
-        return clEnqueueWriteBuffer(queue, dst, CL_FALSE, offset, ne1*row_size, x, 0, NULL, ev);
-    }
-    if (nb0 == ts) {
-        const size_t buffer_origin[3] = { offset, 0, 0 };
-        const size_t host_origin[3] = { 0, 0, 0 };
-        const size_t region[3] = { row_size, ne1, 1 };
-        return clEnqueueWriteBufferRect(queue, dst, CL_FALSE, buffer_origin, host_origin, region, row_size, 0, nb1, 0, x, 0, NULL, ev);
-    }
-    std::vector<cl_event> events;
-    if (ev && ne1>1) events.reserve(ne1-1);
-    for (uint64_t i1 = 0; i1 < ne1; i1++) {
-        // pretend the row is a matrix with cols=1
-        const size_t buffer_origin[3] = { offset + i1*row_size, 0, 0 };
-        const size_t host_origin[3] = { 0, 0, 0 };
-        const size_t region[3] = { ts, ne0/bs, 1 };
-        // if an event is requested, make the last write wait for all previous writes to complete
-        if (ev && i1) {
-            events.push_back(*ev);
-        }
-        cl_uint nevents = i1 == ne1-1 ? events.size() : 0U;
-        err = clEnqueueWriteBufferRect(queue, dst, CL_FALSE, buffer_origin, host_origin, region, ts, 0, nb0, 0, x + i1*nb1, nevents, nevents ? events.data() : nullptr, ev);
-        if (err != CL_SUCCESS) {
-            for (auto event : events) {
-                clReleaseEvent(event);
-            }
-            return err;
-        }
-    }
-    for (auto event : events) {
-        CL_CHECK(clReleaseEvent(event));
-    }
-    return CL_SUCCESS;
-}
-
-static void ggml_cl_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    GGML_ASSERT(src1->backend == GGML_BACKEND_TYPE_GPU);
-    const int64_t ne00 = src0->ne[0];
-    const int64_t ne01 = src0->ne[1];
-    const int64_t ne02 = src0->ne[2];
-    const int64_t ne03 = src0->ne[3];
-    const int64_t ne10 = src1->ne[0];
-    const int64_t ne11 = src1->ne[1];
-    const int64_t ne12 = src1->ne[2];
-    const int64_t ne13 = src1->ne[3];
-    const int nb2  = dst->nb[2];
-    const int nb3  = dst->nb[3];
-    size_t x_size;
-    size_t d_size;
-
-    cl_mem d_X = ggml_cl_pool_malloc(ne00 * ne01 * sizeof(float), &x_size); // src0
-    cl_mem d_Y = (cl_mem) src1->extra; // src1 is already on device, broadcasted.
-    cl_mem d_D = ggml_cl_pool_malloc(ne00 * ne01 * sizeof(float), &d_size); // dst
-
-
-    for (int64_t i03 = 0; i03 < ne03; i03++) {
-        for (int64_t i02 = 0; i02 < ne02; i02++) {
-            cl_event ev;
-
-            // copy src0 to device
-            CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_X, 0, src0, i03, i02, &ev));
-
-            const int64_t i13 = i03%ne13;
-            const int64_t i12 = i02%ne12;
-            const int i1 = i13*ne12*ne11 + i12*ne11;
-
-            cl_int x_offset = 0;
-            cl_int y_offset = i1*ne10;
-            cl_int d_offset = 0;
-
-            size_t global = ne00 * ne01;
-            cl_int ky = ne10 * ne11;
-
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 0, sizeof(cl_mem), &d_X));
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 1, sizeof(cl_int), &x_offset));
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 2, sizeof(cl_mem), &d_Y));
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 3, sizeof(cl_int), &y_offset));
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 4, sizeof(cl_mem), &d_D));
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 5, sizeof(cl_int), &d_offset));
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 6, sizeof(cl_int), &ky));
-            CL_CHECK(clEnqueueNDRangeKernel(queue, mul_f32_cl, 1, NULL, &global, NULL, 1, &ev, NULL));
-
-            CL_CHECK(clReleaseEvent(ev));
-            CL_CHECK(clFinish(queue));
-
-            // copy dst to host
-            float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3);
-            CL_CHECK(clEnqueueReadBuffer(queue, d_D, true, 0, sizeof(float) * ne00*ne01, d, 0, NULL, NULL));
-        }
-    }
-    ggml_cl_pool_free(d_X, x_size);
-    ggml_cl_pool_free(d_D, d_size);
-}
-
-void ggml_cl_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) {
-    GGML_ASSERT(src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32);
-    ggml_cl_mul_f32(src0, src1, dst);
-}
-
-static void ggml_cl_add_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    GGML_ASSERT(src1->backend == GGML_BACKEND_TYPE_GPU);
-    const int64_t ne00 = src0->ne[0];
-    const int64_t ne01 = src0->ne[1];
-    const int64_t ne02 = src0->ne[2];
-    const int64_t ne03 = src0->ne[3];
-    const int64_t ne10 = src1->ne[0];
-    const int64_t ne11 = src1->ne[1];
-    const int64_t ne12 = src1->ne[2];
-    const int64_t ne13 = src1->ne[3];
-    const int nb2  = dst->nb[2];
-    const int nb3  = dst->nb[3];
-    size_t x_size;
-    size_t d_size;
-
-    cl_mem d_X = ggml_cl_pool_malloc(ne00 * ne01 * sizeof(float), &x_size); // src0
-    cl_mem d_Y = (cl_mem) src1->extra; // src1 is already on device, broadcasted.
-    cl_mem d_D = ggml_cl_pool_malloc(ne00 * ne01 * sizeof(float), &d_size); // dst
-
-
-    for (int64_t i03 = 0; i03 < ne03; i03++) {
-        for (int64_t i02 = 0; i02 < ne02; i02++) {
-            cl_event ev;
-
-            // copy src0 to device
-            CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_X, 0, src0, i03, i02, &ev));
-
-            const int64_t i13 = i03%ne13;
-            const int64_t i12 = i02%ne12;
-            const int i1 = i13*ne12*ne11 + i12*ne11;
-
-            cl_int x_offset = 0;
-            cl_int y_offset = i1*ne10;
-            cl_int d_offset = 0;
-
-            size_t global = ne00 * ne01;
-            cl_int ky = ne10 * ne11;
-
-            CL_CHECK(clSetKernelArg(add_f32_cl, 0, sizeof(cl_mem), &d_X));
-            CL_CHECK(clSetKernelArg(add_f32_cl, 1, sizeof(cl_int), &x_offset));
-            CL_CHECK(clSetKernelArg(add_f32_cl, 2, sizeof(cl_mem), &d_Y));
-            CL_CHECK(clSetKernelArg(add_f32_cl, 3, sizeof(cl_int), &y_offset));
-            CL_CHECK(clSetKernelArg(add_f32_cl, 4, sizeof(cl_mem), &d_D));
-            CL_CHECK(clSetKernelArg(add_f32_cl, 5, sizeof(cl_int), &d_offset));
-            CL_CHECK(clSetKernelArg(add_f32_cl, 6, sizeof(cl_int), &ky));
-            CL_CHECK(clEnqueueNDRangeKernel(queue, add_f32_cl, 1, NULL, &global, NULL, 1, &ev, NULL));
-
-            CL_CHECK(clReleaseEvent(ev));
-            CL_CHECK(clFinish(queue));
-
-            // copy dst to host
-            float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3);
-            CL_CHECK(clEnqueueReadBuffer(queue, d_D, true, 0, sizeof(float) * ne00*ne01, d, 0, NULL, NULL));
-        }
-    }
-    ggml_cl_pool_free(d_X, x_size);
-    ggml_cl_pool_free(d_D, d_size);
-}
-
-void ggml_cl_add(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) {
-    GGML_ASSERT(src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32);
-    ggml_cl_add_f32(src0, src1, dst);
-}
-
-static void ggml_cl_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    const int64_t ne00 = src0->ne[0];
-    const int64_t ne01 = src0->ne[1];
-    const int64_t ne02 = src0->ne[2];
-    const int64_t ne03 = src0->ne[3];
-
-    const int64_t ne10 = src1->ne[0];
-    const int64_t ne11 = src1->ne[1];
-    const int64_t ne12 = src1->ne[2];
-    const int64_t ne13 = src1->ne[3];
-
-    const int nb2  = dst->nb[2];
-    const int nb3  = dst->nb[3];
-
-    const int64_t r2 = ne12 / ne02;
-    const int64_t r3 = ne13 / ne03;
-
-    const float alpha = 1.0f;
-    const float beta = 0.0f;
-    const int x_ne = ne01 * ne00;
-    const int y_ne = ne11 * ne10;
-    const int d_ne = ne11 * ne01;
-
-    size_t x_size;
-    size_t y_size;
-    size_t d_size;
-    cl_mem d_X;
-    if (src0->backend == GGML_BACKEND_TYPE_GPU) { // NOLINT
-        d_X = (cl_mem) src0->extra;
-    } else {
-        d_X = ggml_cl_pool_malloc(sizeof(float) * x_ne, &x_size);
-    }
-    cl_mem d_Y = src1->backend == GGML_BACKEND_TYPE_GPU ? (cl_mem) src1->extra : ggml_cl_pool_malloc(sizeof(float) * y_ne, &y_size);
-    cl_mem d_D =  dst->backend == GGML_BACKEND_TYPE_GPU ? (cl_mem)  dst->extra : ggml_cl_pool_malloc(sizeof(float) * d_ne, &d_size);
-
-    size_t x_offset = 0;
-
-    for (int64_t i03 = 0; i03 < ne03; i03++) {
-        // TODO: copy src0 here when r3>1
-        for (int64_t i13 = i03 * r3, e13 = i13 + r3; i13 < e13; i13++) {
-            for (int64_t i02 = 0; i02 < ne02; i02++) {
-                if (src0->backend == GGML_BACKEND_TYPE_GPU) {
-                    x_offset = (i03 * ne02 + i02) * x_ne;
-                } else {
-                    // copy src0 to device
-                    CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_X, 0, src0, i03, i02, NULL));
-                }
-
-                for (int64_t i12 = i02 * r2, e12 = i12 + r2; i12 < e12; i12++) {
-                    // copy src1 to device
-                    if (src1->backend == GGML_BACKEND_TYPE_CPU) {
-                        CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_Y, 0, src1, i13, i12, NULL));
-                    }
-
-                    CL_CHECK(clFinish(queue));
-
-                    // compute
-                    cl_event ev_sgemm;
-                    clblast::StatusCode status = clblast::Gemm<cl_float>(clblast::Layout::kColMajor,
-                                                               clblast::Transpose::kYes, clblast::Transpose::kNo,
-                                                               ne01, ne11, ne10,
-                                                               alpha,
-                                                               d_X, x_offset, ne00,
-                                                               d_Y, 0, ne10,
-                                                               beta,
-                                                               d_D, 0, ne01,
-                                                               &queue, &ev_sgemm);
-
-                    if (status != clblast::StatusCode::kSuccess) {
-                        GGML_ASSERT(false);
-                    }
-
-                    // copy dst to host
-                    if (dst->backend == GGML_BACKEND_TYPE_CPU) {
-                        float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3);
-                        CL_CHECK(clEnqueueReadBuffer(queue, d_D, true, 0, sizeof(float) * d_ne, d, 1, &ev_sgemm, NULL));
-                    }
-                }
-            }
-        }
-    }
-
-    if (src0->backend != GGML_BACKEND_TYPE_GPU) {
-        ggml_cl_pool_free(d_X, x_size);
-    }
-    if (src1->backend != GGML_BACKEND_TYPE_GPU) {
-        ggml_cl_pool_free(d_Y, y_size);
-    }
-    if (dst->backend != GGML_BACKEND_TYPE_GPU) {
-        ggml_cl_pool_free(d_D, d_size);
-    }
-}
-
-static void ggml_cl_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, void * wdata, size_t wsize) {
-    GGML_ASSERT(fp16_support);
-
-    const int64_t ne00 = src0->ne[0];
-    const int64_t ne01 = src0->ne[1];
-    const int64_t ne02 = src0->ne[2];
-    const int64_t ne03 = src0->ne[3];
-
-    const int64_t ne10 = src1->ne[0];
-    const int64_t ne11 = src1->ne[1];
-    const int64_t ne12 = src1->ne[2];
-    const int64_t ne13 = src1->ne[3];
-
-    const int nb10 = src1->nb[0];
-    const int nb11 = src1->nb[1];
-    const int nb12 = src1->nb[2];
-    const int nb13 = src1->nb[3];
-
-    const int nb2  = dst->nb[2];
-    const int nb3  = dst->nb[3];
-
-    const int64_t r2 = ne12 / ne02;
-    const int64_t r3 = ne13 / ne03;
-
-    const ggml_fp16_t alpha = ggml_fp32_to_fp16(1.0f);
-    const ggml_fp16_t beta = ggml_fp32_to_fp16(0.0f);
-    const int x_ne = ne01 * ne00;
-    const int y_ne = ne11 * ne10;
-    const int d_ne = ne11 * ne01;
-
-    GGML_ASSERT(wsize >= sizeof(ggml_fp16_t) * y_ne);
-    GGML_ASSERT(wsize >= sizeof(ggml_fp16_t) * d_ne);
-    ggml_fp16_t * const tmp = (ggml_fp16_t *) wdata;
-
-    size_t x_size;
-    size_t y_size;
-    size_t d_size;
-    cl_mem d_X;
-    if (src0->backend == GGML_BACKEND_TYPE_GPU) { // NOLINT
-        d_X = (cl_mem) src0->extra;
-    } else {
-        d_X = ggml_cl_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &x_size);
-    }
-    cl_mem d_Y = ggml_cl_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &y_size);
-    cl_mem d_D = ggml_cl_pool_malloc(sizeof(ggml_fp16_t) * d_ne, &d_size);
-
-    bool src1_cont_rows = nb10 == sizeof(float);
-    bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float);
-
-    size_t x_offset = 0;
-
-    for (int64_t i03 = 0; i03 < ne03; i03++) {
-        // TODO: copy src0 here when r3>1
-        for (int64_t i13 = i03 * r3, e13 = i13 + r3; i13 < e13; i13++) {
-            for (int64_t i02 = 0; i02 < ne02; i02++) {
-                if (src0->backend == GGML_BACKEND_TYPE_GPU) {
-                    x_offset = (i03 * ne02 + i02) * x_ne;
-                } else {
-                    // copy src0 to device
-                    CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_X, 0, src0, i03, i02, NULL));
-                }
-
-                // FIXME: convert on device
-
-                for (int64_t i12 = i02 * r2, e12 = i12 + r2; i12 < e12; i12++) {
-                    // convert src1 to fp16
-                    // TODO: use multiple threads
-                    char * src1i = (char *) src1->data + i13*nb13 + i12*nb12;
-                    if (src1_cont_rows) {
-                        if (src1_cont_cols) {
-                            ggml_fp32_to_fp16_row((float *) src1i, tmp, ne10*ne11);
-                        }
-                        else {
-                            for (int64_t i11 = 0; i11 < ne11; i11++) {
-                                ggml_fp32_to_fp16_row((float *) (src1i + i11*nb11), tmp + i11*ne10, ne10);
-                            }
-                        }
-                    }
-                    else {
-                        for (int64_t i11 = 0; i11 < ne11; i11++) {
-                            for (int64_t i10 = 0; i10 < ne10; i10++) {
-                                // very slow due to no inlining
-                                tmp[i11*ne10 + i10] = ggml_fp32_to_fp16(*(float *) (src1i + i11*nb11 + i10*nb10));
-                            }
-                        }
-                    }
-
-                    // copy src1 to device
-                    CL_CHECK(clEnqueueWriteBuffer(queue, d_Y, false, 0, sizeof(ggml_fp16_t) * y_ne, tmp, 0, NULL, NULL));
-
-                    CL_CHECK(clFinish(queue));
-
-                    // compute
-                    cl_event ev_sgemm;
-                    clblast::StatusCode status = clblast::Gemm<cl_half>(clblast::Layout::kColMajor,
-                                                               clblast::Transpose::kYes, clblast::Transpose::kNo,
-                                                               ne01, ne11, ne10,
-                                                               alpha,
-                                                               d_X, x_offset, ne00,
-                                                               d_Y, 0, ne10,
-                                                               beta,
-                                                               d_D, 0, ne01,
-                                                               &queue, &ev_sgemm);
-
-                    if (status != clblast::StatusCode::kSuccess) {
-                        GGML_ASSERT(false);
-                    }
-
-                    // copy dst to host, then convert to float
-                    if (dst->backend == GGML_BACKEND_TYPE_CPU) {
-                        CL_CHECK(clEnqueueReadBuffer(queue, d_D, true, 0, sizeof(ggml_fp16_t) * d_ne, tmp, 1, &ev_sgemm, NULL));
-                        float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3);
-                        ggml_fp16_to_fp32_row(tmp, d, d_ne);
-                    } else {
-                        // FIXME: convert dst to fp32 on device
-                    }
-                }
-            }
-        }
-    }
-
-    if (src0->backend != GGML_BACKEND_TYPE_GPU) {
-        ggml_cl_pool_free(d_X, x_size);
-    }
-    ggml_cl_pool_free(d_Y, y_size);
-    ggml_cl_pool_free(d_D, d_size);
-}
-
-static void ggml_cl_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    const int64_t ne00 = src0->ne[0];
-    const int64_t ne01 = src0->ne[1];
-    const int64_t ne02 = src0->ne[2];
-    const int64_t ne03 = src0->ne[3];
-
-    const int64_t ne10 = src1->ne[0];
-    const int64_t ne11 = src1->ne[1];
-    const int64_t ne12 = src1->ne[2];
-    const int64_t ne13 = src1->ne[3];
-
-    const int nb2  = dst->nb[2];
-    const int nb3  = dst->nb[3];
-    const ggml_type type = src0->type;
-    const bool mul_mat_vec = ne11 == 1 && ne00%2 == 0;
-
-    const int64_t r2 = ne12 / ne02;
-    const int64_t r3 = ne13 / ne03;
-
-    const float alpha = 1.0f;
-    const float beta = 0.0f;
-    const int x_ne = ne01 * ne00;
-    const int y_ne = ne11 * ne10;
-    const int d_ne = ne11 * ne01;
-    const int x_bps = x_ne / ggml_blck_size(type); // blocks per 2D slice
-    const size_t q_sz = ggml_type_size(type) * x_bps;
-
-    size_t x_size;
-    size_t y_size;
-    size_t d_size;
-    size_t q_size;
-    cl_mem d_X;
-    if (!mul_mat_vec) {
-        d_X = ggml_cl_pool_malloc(sizeof(float) * x_ne, &x_size);
-    }
-    cl_mem d_Y = ggml_cl_pool_malloc(sizeof(float) * y_ne, &y_size);
-    cl_mem d_D = ggml_cl_pool_malloc(sizeof(float) * d_ne, &d_size);
-    cl_mem d_Q;
-    if (src0->backend == GGML_BACKEND_TYPE_CPU) {
-        d_Q = ggml_cl_pool_malloc(q_sz, &q_size);
-    }
-
-    cl_kernel* to_fp32_cl = ggml_get_to_fp32_cl(type);
-    cl_kernel* dmmv = ggml_get_dequantize_mul_mat_vec_cl(type);
-    GGML_ASSERT(to_fp32_cl != nullptr);
-
-    const size_t global_denom = ggml_cl_global_denom(type);
-    const size_t local = mul_mat_vec ? CL_DMMV_LOCAL_SIZE : ggml_cl_local_size(type);
-
-    size_t ev_idx = 0;
-    std::vector<cl_event> events;
-
-    for (int64_t i03 = 0; i03 < ne03; i03++) {
-        // TODO: copy and dequantize src0 here when r3>1
-        for (int64_t i13 = i03 * r3, e13 = i13 + r3; i13 < e13; i13++) {
-            for (int64_t i02 = 0; i02 < ne02; i02++) {
-                // copy src0 to device if necessary
-                if (src0->backend == GGML_BACKEND_TYPE_CPU) {
-                    events.emplace_back();
-                    CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_Q, 0, src0, i03, i02, events.data() + ev_idx++));
-                } else if (src0->backend == GGML_BACKEND_TYPE_GPU) {
-                    d_Q = (cl_mem) src0->extra;
-                } else {
-                    GGML_ASSERT(false);
-                }
-
-                if (!mul_mat_vec) {
-                    // convert src0 to fp32 on device
-                    const size_t global = x_ne / global_denom;
-                    const size_t offset = src0->backend == GGML_BACKEND_TYPE_GPU ? (i03 * ne02 + i02) * x_bps : 0;
-                    CL_CHECK(clSetKernelArg(*to_fp32_cl, 0, sizeof(cl_mem), &d_Q));
-                    CL_CHECK(clSetKernelArg(*to_fp32_cl, 1, sizeof(cl_mem), &d_X));
-                    CL_CHECK(clEnqueueNDRangeKernel(queue, *to_fp32_cl, 1, &offset, &global, local > 0 ? &local : NULL, events.size(), !events.empty() ? events.data() : NULL, NULL));
-                }
-
-                for (int64_t i12 = i02 * r2, e12 = i12 + r2; i12 < e12; i12++) {
-                    if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel
-                        // copy src1 to device
-                        events.emplace_back();
-                        CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_Y, 0, src1, i13, i12, events.data() + ev_idx++));
-
-                        // compute
-                        const size_t global = ne01 * local;
-                        const size_t offset = src0->backend == GGML_BACKEND_TYPE_GPU ? (i03 * ne02 + i02) * x_bps : 0;
-                        const cl_int ncols = ne00;
-                        events.emplace_back();
-                        CL_CHECK(clSetKernelArg(*dmmv, 0, sizeof(cl_mem), &d_Q));
-                        CL_CHECK(clSetKernelArg(*dmmv, 1, sizeof(float) * local, NULL));
-                        CL_CHECK(clSetKernelArg(*dmmv, 2, sizeof(cl_mem), &d_Y));
-                        CL_CHECK(clSetKernelArg(*dmmv, 3, sizeof(cl_mem), &d_D));
-                        CL_CHECK(clSetKernelArg(*dmmv, 4, sizeof(cl_int), &ncols));
-                        CL_CHECK(clEnqueueNDRangeKernel(queue, *dmmv, 1, &offset, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++));
-                    } else { // CLBlast matrix matrix multiplication
-                        // copy src1 to device
-                        CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_Y, 0, src1, i13, i12, NULL));
-
-                        // wait for conversion
-                        CL_CHECK(clFinish(queue));
-
-                        // compute
-                        events.emplace_back();
-                        clblast::StatusCode status = clblast::Gemm<cl_float>(clblast::Layout::kColMajor,
-                                                                   clblast::Transpose::kYes, clblast::Transpose::kNo,
-                                                                   ne01, ne11, ne10,
-                                                                   alpha,
-                                                                   d_X, 0, ne00,
-                                                                   d_Y, 0, ne10,
-                                                                   beta,
-                                                                   d_D, 0, ne01,
-                                                                   &queue, events.data() + ev_idx++);
-
-                        if (status != clblast::StatusCode::kSuccess) {
-                            GGML_ASSERT(false);
-                        }
-                    }
-
-                    // copy dst to host
-                    float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3);
-                    CL_CHECK(clEnqueueReadBuffer(queue, d_D, true, 0, sizeof(float) * d_ne, d, 1, &events[events.size() - 1], NULL));
-                    for (auto *event : events) {
-                        clReleaseEvent(event);
-                    }
-
-                    ev_idx = 0;
-                    events.clear();
-                }
-            }
-        }
-    }
-
-    if (!mul_mat_vec) {
-        ggml_cl_pool_free(d_X, x_size);
-    }
-    ggml_cl_pool_free(d_Y, y_size);
-    ggml_cl_pool_free(d_D, d_size);
-    if (src0->backend == GGML_BACKEND_TYPE_CPU) {
-        ggml_cl_pool_free(d_Q, q_size);
-    }
-}
-
-
-bool ggml_cl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, const struct ggml_tensor * dst) {
-    const int64_t ne10 = src1->ne[0];
-
-    const int64_t ne0 = dst->ne[0];
-    const int64_t ne1 = dst->ne[1];
-
-    // TODO: find the optimal values for these
-    if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) &&
-        src1->type == GGML_TYPE_F32 &&
-        dst->type == GGML_TYPE_F32 &&
-        ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_TYPE_GPU)) {
-        return true;
-    }
-
-    return false;
-}
-
-static bool ggml_cl_mul_mat_use_f16(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * /* dst */) {
-    // If device doesn't support FP16
-    if (!fp16_support) {
-        return false;
-    }
-
-    size_t src0_sz = ggml_nbytes(src0);
-    size_t src1_sz = ggml_nbytes(src1);
-
-    // mul_mat_q: src0 is converted to fp32 on device
-    size_t mul_mat_q_transfer = src0_sz + src1_sz;
-
-    // mul_mat_f16: src1 is converted to fp16 on cpu
-    size_t mul_mat_f16_transfer = src0_sz + sizeof(ggml_fp16_t) * ggml_nelements(src1);
-
-    // choose the smaller one to transfer to the device
-    // TODO: this is not always the best choice due to the overhead of converting to fp16
-    return mul_mat_f16_transfer < mul_mat_q_transfer;
-}
-
-void ggml_cl_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize) {
-    GGML_ASSERT(ggml_cl_can_mul_mat(src0, src1, dst));
-
-    if (src0->type == GGML_TYPE_F32) {
-        ggml_cl_mul_mat_f32(src0, src1, dst);
-    }
-    else if (src0->type == GGML_TYPE_F16) {
-        if (ggml_cl_mul_mat_use_f16(src0, src1, dst)) {
-            ggml_cl_mul_mat_f16(src0, src1, dst, wdata, wsize);
-        }
-        else {
-            ggml_cl_mul_mat_q_f32(src0, src1, dst);
-        }
-    }
-    else if (ggml_is_quantized(src0->type)) {
-        ggml_cl_mul_mat_q_f32(src0, src1, dst);
-    }
-    else {
-        GGML_ASSERT(false);
-    }
-}
-
-size_t ggml_cl_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) {
-    if (src0->type == GGML_TYPE_F16 && ggml_cl_mul_mat_use_f16(src0, src1, dst)) {
-        return sizeof(ggml_fp16_t) * std::max(src1->ne[0] * src1->ne[1], dst->ne[0] * dst->ne[1]);
-    }
-    return 0;
-}
-
-void ggml_cl_transform_tensor(void * data, ggml_tensor * tensor) {
-    const int64_t ne0 = tensor->ne[0];
-    const int64_t ne1 = tensor->ne[1];
-    const int64_t ne2 = tensor->ne[2];
-    const int64_t ne3 = tensor->ne[3];
-
-    const ggml_type type = tensor->type;
-    const size_t s_sz = ggml_type_size(type) * (size_t) (ne0 * ne1 / ggml_blck_size(type));
-    const size_t q_sz = s_sz * (size_t) (ne2 * ne3);
-
-    size_t q_size;
-    cl_mem dst = ggml_cl_pool_malloc(q_sz, &q_size);
-
-    tensor->data = data;
-    // copy tensor to device
-    size_t offset = 0;
-    for (int64_t i3 = 0; i3 < ne3; i3++) {
-        for (int64_t i2 = 0; i2 < ne2; i2++) {
-            CL_CHECK(ggml_cl_h2d_tensor_2d(queue, dst, offset, tensor, i3, i2, NULL));
-            offset += s_sz;
-        }
-    }
-
-    CL_CHECK(clFinish(queue));
-
-    tensor->extra = dst;
-    GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU);
-}
-
-// ggml-backend
-
-// buffer
-
-struct ggml_backend_opencl_buffer_context {
-    ~ggml_backend_opencl_buffer_context() {
-        if (buffer) {
-            clReleaseMemObject(buffer);
-        }
-        for (auto * sub_buffer : sub_buffers) {
-            clReleaseMemObject(sub_buffer);
-        }
-    }
-
-    cl_mem buffer;
-    std::vector<cl_mem> sub_buffers;
-};
-
-static void * const cl_ptr_base = (void *)(uintptr_t) 0x1000;
-
-static const char * ggml_backend_opencl_buffer_get_name(ggml_backend_buffer_t buffer) {
-    return "OpenCL";
-
-    GGML_UNUSED(buffer);
-}
-
-static void ggml_backend_opencl_buffer_free_buffer(ggml_backend_buffer_t buffer) {
-    ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
-    delete ctx;
-}
-
-static void * ggml_backend_opencl_buffer_get_base(ggml_backend_buffer_t buffer) {
-    return cl_ptr_base;
-
-    GGML_UNUSED(buffer);
-}
-
-static void ggml_backend_opencl_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) {
-    if (tensor->view_src != NULL && tensor->view_offs == 0) {
-        tensor->extra = tensor->view_src->extra;
-    } else {
-        ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
-        cl_buffer_region region = {(size_t)((char *)tensor->data - (char *)cl_ptr_base), ggml_nbytes(tensor)};
-        cl_int err;
-        cl_mem sub_buffer = clCreateSubBuffer(ctx->buffer, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
-        CL_CHECK(err);
-        ctx->sub_buffers.push_back(sub_buffer);
-        tensor->extra = sub_buffer;
-    }
-    tensor->backend = GGML_BACKEND_TYPE_GPU;
-}
-
-static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
-    cl_mem tensor_buffer = (cl_mem) tensor->extra;
-    CL_CHECK(clEnqueueWriteBuffer(queue, tensor_buffer, true, offset, size, data, 0, NULL, NULL));
-    CL_CHECK(clFinish(queue));
-
-    GGML_UNUSED(buffer);
-}
-
-static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
-    cl_mem tensor_buffer = (cl_mem) tensor->extra;
-    CL_CHECK(clEnqueueReadBuffer(queue, tensor_buffer, true, offset, size, data, 0, NULL, NULL));
-    CL_CHECK(clFinish(queue));
-
-    GGML_UNUSED(buffer);
-}
-
-static void ggml_backend_opencl_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) {
-    ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
-    CL_CHECK(clEnqueueFillBuffer(queue, ctx->buffer, &value, sizeof(value), 0, buffer->size, 0, NULL, NULL));
-    CL_CHECK(clFinish(queue));
-}
-
-static void ggml_backend_opencl_buffer_reset(ggml_backend_buffer_t buffer) {
-    ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
-    for (auto * sub_buffer : ctx->sub_buffers) {
-        clReleaseMemObject(sub_buffer);
-    }
-    ctx->sub_buffers.clear();
-}
-
-static ggml_backend_buffer_i ggml_backend_opencl_buffer_interface = {
-    /* .get_name        = */ ggml_backend_opencl_buffer_get_name,
-    /* .free_buffer     = */ ggml_backend_opencl_buffer_free_buffer,
-    /* .get_base        = */ ggml_backend_opencl_buffer_get_base,
-    /* .init_tensor     = */ ggml_backend_opencl_buffer_init_tensor,
-    /* .set_tensor      = */ ggml_backend_opencl_buffer_set_tensor,
-    /* .get_tensor      = */ ggml_backend_opencl_buffer_get_tensor,
-    /* .cpy_tensor      = */ NULL,
-    /* .clear           = */ ggml_backend_opencl_buffer_clear,
-    /* .reset           = */ ggml_backend_opencl_buffer_reset,
-};
-
-// buffer type
-
-static const char * ggml_backend_opencl_buffer_type_name(ggml_backend_buffer_type_t buffer_type) {
-    return "OpenCL";
-
-    GGML_UNUSED(buffer_type);
-}
-
-static ggml_backend_buffer_t ggml_backend_opencl_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buffer_type, size_t size) {
-    ggml_cl_init();
-
-    cl_int err;
-    cl_mem mem = clCreateBuffer(context, CL_MEM_READ_WRITE, size, NULL, &err);
-    if (err != CL_SUCCESS) {
-        fprintf(stderr, "%s: failed to allocate %.2f MiB\n", __func__, size / 1024.0 / 1024.0);
-        return nullptr;
-    }
-
-    ggml_backend_opencl_buffer_context * ctx = new ggml_backend_opencl_buffer_context{mem, {}};
-
-    return ggml_backend_buffer_init(buffer_type, ggml_backend_opencl_buffer_interface, ctx, size);
-}
-
-static size_t ggml_backend_opencl_buffer_type_get_alignment(ggml_backend_buffer_type_t buffer_type) {
-    // FIXME: not thread safe, device may not be initialized yet
-    static cl_uint alignment = -1;
-    if (alignment == (cl_uint)-1) {
-        ggml_cl_init();
-        clGetDeviceInfo(device, CL_DEVICE_MEM_BASE_ADDR_ALIGN, sizeof(cl_uint), &alignment, NULL);
-        alignment /= 8; // bits to bytes
-    }
-    return alignment;
-
-    GGML_UNUSED(buffer_type);
-}
-
-static size_t ggml_backend_opencl_buffer_type_get_max_size(ggml_backend_buffer_type_t buffer_type) {
-    static size_t max_size = -1;
-    if (max_size == (size_t)-1) {
-        ggml_cl_init();
-        clGetDeviceInfo(device, CL_DEVICE_MAX_MEM_ALLOC_SIZE, sizeof(size_t), &max_size, NULL);
-    }
-    return max_size;
-}
-
-static bool ggml_backend_opencl_buffer_type_supports_backend(ggml_backend_buffer_type_t buffer_type, ggml_backend_t backend) {
-    //return ggml_backend_is_opencl(backend); // opencl must be used through the cpu backend
-    return ggml_backend_is_cpu(backend);
-
-    GGML_UNUSED(buffer_type);
-}
-
-static ggml_backend_buffer_type_i ggml_backend_opencl_buffer_type_interface = {
-    /* .get_name         = */ ggml_backend_opencl_buffer_type_name,
-    /* .alloc_buffer     = */ ggml_backend_opencl_buffer_type_alloc_buffer,
-    /* .get_alignment    = */ ggml_backend_opencl_buffer_type_get_alignment,
-    /* .get_max_size     = */ ggml_backend_opencl_buffer_type_get_max_size,
-    /* .get_alloc_size   = */ NULL,
-    /* .supports_backend = */ ggml_backend_opencl_buffer_type_supports_backend,
-    /* .is_host          = */ NULL,
-};
-
-
-ggml_backend_buffer_type_t ggml_backend_opencl_buffer_type() {
-    static ggml_backend_buffer_type buffer_type = {
-        /* .iface   = */ ggml_backend_opencl_buffer_type_interface,
-        /* .context = */ nullptr,
-    };
-
-    return &buffer_type;
-}
-
-#if 0
-// host buffer type
-
-static const char * ggml_backend_opencl_host_buffer_type_name(ggml_backend_buffer_type_t buft) {
-    return "CL_Host";
-
-    GGML_UNUSED(buft);
-}
-
-static const char * ggml_backend_opencl_host_buffer_name(ggml_backend_buffer_t buffer) {
-    return "CL_Host";
-
-    GGML_UNUSED(buffer);
-}
-
-static void ggml_backend_opencl_host_buffer_free_buffer(ggml_backend_buffer_t buffer) {
-    ggml_cl_host_free(buffer->context);
-}
-
-static ggml_backend_buffer_t ggml_backend_opencl_host_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) {
-    void * ptr = ggml_cl_host_malloc(size);
-
-    if (ptr == nullptr) {
-        // fallback to cpu buffer
-        return ggml_backend_buft_alloc_buffer(ggml_backend_cpu_buffer_type(), size);
-    }
-
-    ggml_backend_buffer_t buffer = ggml_backend_cpu_buffer_from_ptr(ptr, size);
-    buffer->buft = buft;
-    buffer->iface.get_name = ggml_backend_opencl_host_buffer_name;
-    buffer->iface.free_buffer = ggml_backend_opencl_host_buffer_free_buffer;
-
-    return buffer;
-}
-
-ggml_backend_buffer_type_t ggml_backend_opencl_host_buffer_type() {
-    static struct ggml_backend_buffer_type ggml_backend_opencl_buffer_type_host = {
-        /* .iface    = */ {
-            /* .get_name         = */ ggml_backend_opencl_host_buffer_type_name,
-            /* .alloc_buffer     = */ ggml_backend_opencl_host_buffer_type_alloc_buffer,
-            /* .get_alignment    = */ ggml_backend_cpu_buffer_type()->iface.get_alignment,
-            /* .get_max_size     = */ NULL, // defaults to SIZE_MAX
-            /* .get_alloc_size   = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size,
-            /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend,
-            /* .is_host          = */ ggml_backend_cpu_buffer_type()->iface.is_host,
-        },
-        /* .context  = */ nullptr,
-    };
-
-    return &ggml_backend_opencl_buffer_type_host;
-}
-
-// backend
-
-static const char * ggml_backend_opencl_name(ggml_backend_t backend) {
-    return "OpenCL";
-
-    GGML_UNUSED(backend);
-}
-
-static void ggml_backend_opencl_free(ggml_backend_t backend) {
-    GGML_UNUSED(backend);
-}
-
-static ggml_backend_buffer_type_t ggml_backend_opencl_get_default_buffer_type(ggml_backend_t backend) {
-    return ggml_backend_opencl_buffer_type();
-
-    GGML_UNUSED(backend);
-}
-
-static ggml_status ggml_backend_opencl_graph_compute(ggml_backend_t backend, ggml_cgraph * graph) {
-    for (int i = 0; i < graph->n_nodes; ++i) {
-        ggml_tensor * node = graph->nodes[i];
-
-        if (ggml_is_empty(node)) {
-            continue;
-        }
-
-        switch (node->op) {
-            case GGML_OP_MUL_MAT:
-                ggml_cl_mul_mat(node->src[0], node->src[1], node, nullptr, 0);
-                break;
-            case GGML_OP_MUL:
-                ggml_cl_mul(node->src[0], node->src[1], node);
-                break;
-            default:
-                GGML_ASSERT(false);
-        }
-    }
-
-    return GGML_STATUS_SUCCESS;
-
-    GGML_UNUSED(backend);
-}
-
-static bool ggml_backend_opencl_supports_op(ggml_backend_t backend, const ggml_tensor * op) {
-    switch (op->op) {
-        case GGML_OP_MUL_MAT:
-            return ggml_cl_can_mul_mat(op->src[0], op->src[1], op);
-        case GGML_OP_MUL:
-            // return ggml_can_repeat_rows(op->src[1], op->src[0]);
-            return true;
-        default:
-            return false;
-    }
-
-    GGML_UNUSED(backend);
-}
-
-static ggml_backend_i opencl_backend_i = {
-    /* .get_name                = */ ggml_backend_opencl_name,
-    /* .free                    = */ ggml_backend_opencl_free,
-    /* .get_default_buffer_type = */ ggml_backend_opencl_get_default_buffer_type,
-    /* .set_tensor_async        = */ NULL,
-    /* .get_tensor_async        = */ NULL,
-    /* .cpy_tensor_from_async   = */ NULL,
-    /* .cpy_tensor_to_async     = */ NULL,
-    /* .synchronize             = */ NULL,
-    /* .graph_plan_create       = */ NULL,
-    /* .graph_plan_free         = */ NULL,
-    /* .graph_plan_compute      = */ NULL,
-    /* .graph_compute           = */ ggml_backend_opencl_graph_compute,
-    /* .supports_op             = */ ggml_backend_opencl_supports_op,
-};
-
-ggml_backend_t ggml_backend_opencl_init() {
-    ggml_backend_t backend = new ggml_backend {
-        /* .interface = */ opencl_backend_i,
-        /* .context   = */ nullptr
-    };
-
-    return backend;
-}
-
-bool ggml_backend_is_opencl(ggml_backend_t backend) {
-    return backend && backend->iface.get_name == ggml_backend_opencl_name;
-}
-#endif
diff --git a/ggml-opencl.h b/ggml-opencl.h
deleted file mode 100644
index 257a6be6a..000000000
--- a/ggml-opencl.h
+++ /dev/null
@@ -1,36 +0,0 @@
-#pragma once
-
-#include "ggml.h"
-#include "ggml-backend.h"
-
-#ifdef  __cplusplus
-extern "C" {
-#endif
-
-GGML_API void ggml_cl_init(void);
-
-GGML_API void   ggml_cl_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
-GGML_API void   ggml_cl_add(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
-GGML_API bool   ggml_cl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, const struct ggml_tensor * dst);
-GGML_API size_t ggml_cl_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
-GGML_API void   ggml_cl_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize);
-
-// GGML_API void * ggml_cl_host_malloc(size_t size);
-// GGML_API void   ggml_cl_host_free(void * ptr);
-
-GGML_API void ggml_cl_free_data(const struct ggml_tensor* tensor);
-
-GGML_API void ggml_cl_transform_tensor(void * data, struct ggml_tensor * tensor);
-
-// backend API
-
-// GGML_API ggml_backend_t ggml_backend_opencl_init(void);
-
-// GGML_API bool ggml_backend_is_opencl(ggml_backend_t backend);
-
-GGML_API ggml_backend_buffer_type_t ggml_backend_opencl_buffer_type(void);
-// GGML_API ggml_backend_buffer_type_t ggml_backend_opencl_host_buffer_type(void);
-
-#ifdef  __cplusplus
-}
-#endif
diff --git a/ggml-quants.c b/ggml-quants.c
index 00334c5fe..9f864e5c4 100644
--- a/ggml-quants.c
+++ b/ggml-quants.c
@@ -14,6 +14,12 @@
 #include <stdlib.h> // for qsort
 #include <stdio.h>  // for GGML_ASSERT
 
+#define GROUP_MAX_EPS 1e-15f
+#define GROUP_MAX_EPS_IQ3_XXS 1e-8f
+#define GROUP_MAX_EPS_IQ2_S 1e-8f
+#define GROUP_MAX_EPS_IQ1_M 1e-7f
+#define GROUP_MAX_EPS_IQ1_S 1e-12f
+
 #if defined(_MSC_VER)
 // disable "possible loss of data" to avoid warnings for hundreds of casts
 // we should just be careful :)
@@ -241,7 +247,7 @@ static inline float hsum_float_4x4(const __m128 a, const __m128 b, const __m128
 #endif // __AVX__ || __AVX2__ || __AVX512F__
 #endif // defined(__AVX__) || defined(__AVX2__) || defined(__AVX512F__) || defined(__SSSE3__)
 
-#if defined(__ARM_NEON) || defined(__wasm_simd128__)
+#if defined(__ARM_NEON) || defined(__wasm_simd128__) || defined(__POWER9_VECTOR__)
 #define B1(c,s,n)  0x ## n ## c ,  0x ## n ## s
 #define B2(c,s,n) B1(c,s,n ## c), B1(c,s,n ## s)
 #define B3(c,s,n) B2(c,s,n ## c), B2(c,s,n ## s)
@@ -256,6 +262,403 @@ static const uint64_t table_b2b_0[1 << 8] = { B8(00, 10) }; // ( b) << 4
 static const uint64_t table_b2b_1[1 << 8] = { B8(10, 00) }; // (!b) << 4
 #endif
 
+#if defined(__loongarch_asx)
+
+#ifdef __clang__
+#define VREGS_PREFIX "$vr"
+#define XREGS_PREFIX "$xr"
+#else // GCC
+#define VREGS_PREFIX "$f"
+#define XREGS_PREFIX "$f"
+#endif
+#define __ALL_REGS "0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31"
+// Convert __m128i to __m256i
+static inline __m256i ____m256i(__m128i in) {
+    __m256i out = __lasx_xvldi(0);
+    __asm__ volatile (
+        ".irp i," __ALL_REGS                "\n\t"
+        " .ifc %[out], " XREGS_PREFIX"\\i    \n\t"
+        "  .irp j," __ALL_REGS              "\n\t"
+        "   .ifc %[in], " VREGS_PREFIX "\\j  \n\t"
+        "    xvpermi.q $xr\\i, $xr\\j, 0x20  \n\t"
+        "   .endif                           \n\t"
+        "  .endr                             \n\t"
+        " .endif                             \n\t"
+        ".endr                               \n\t"
+        : [out] "+f" (out) : [in] "f" (in)
+    );
+    return out;
+}
+// Convert two __m128i to __m256i
+static inline __m256i lasx_set_q(__m128i inhi, __m128i inlo) {
+    __m256i out;
+    __asm__ volatile (
+        ".irp i," __ALL_REGS                "\n\t"
+        " .ifc %[hi], " VREGS_PREFIX "\\i    \n\t"
+        "  .irp j," __ALL_REGS              "\n\t"
+        "   .ifc %[lo], " VREGS_PREFIX "\\j  \n\t"
+        "    xvpermi.q $xr\\i, $xr\\j, 0x20  \n\t"
+        "   .endif                           \n\t"
+        "  .endr                             \n\t"
+        " .endif                             \n\t"
+        ".endr                               \n\t"
+        ".ifnc %[out], %[hi]                 \n\t"
+        ".irp i," __ALL_REGS                "\n\t"
+        " .ifc %[out], " XREGS_PREFIX "\\i   \n\t"
+        "  .irp j," __ALL_REGS              "\n\t"
+        "   .ifc %[hi], " VREGS_PREFIX "\\j  \n\t"
+        "    xvori.b $xr\\i, $xr\\j, 0       \n\t"
+        "   .endif                           \n\t"
+        "  .endr                             \n\t"
+        " .endif                             \n\t"
+        ".endr                               \n\t"
+        ".endif                              \n\t"
+        : [out] "=f" (out), [hi] "+f" (inhi)
+        : [lo] "f" (inlo)
+    );
+    return out;
+}
+// Convert __m256i low part to __m128i
+static inline __m128i lasx_extracti128_lo(__m256i in) {
+    __m128i out;
+    __asm__ volatile (
+        ".ifnc %[out], %[in]                 \n\t"
+        ".irp i," __ALL_REGS                "\n\t"
+        " .ifc %[out], " VREGS_PREFIX "\\i   \n\t"
+        "  .irp j," __ALL_REGS              "\n\t"
+        "   .ifc %[in], " XREGS_PREFIX "\\j  \n\t"
+        "    vori.b $vr\\i, $vr\\j, 0        \n\t"
+        "   .endif                           \n\t"
+        "  .endr                             \n\t"
+        " .endif                             \n\t"
+        ".endr                               \n\t"
+        ".endif                              \n\t"
+        : [out] "=f" (out) : [in] "f" (in)
+    );
+    return out;
+}
+// Convert __m256i high part to __m128i
+static inline __m128i lasx_extracti128_hi(__m256i in) {
+    __m128i out;
+    __asm__ volatile (
+        ".irp i," __ALL_REGS                "\n\t"
+        " .ifc %[out], " VREGS_PREFIX "\\i   \n\t"
+        "  .irp j," __ALL_REGS              "\n\t"
+        "   .ifc %[in], " XREGS_PREFIX "\\j  \n\t"
+        "    xvpermi.q $xr\\i, $xr\\j, 0x11  \n\t"
+        "   .endif                           \n\t"
+        "  .endr                             \n\t"
+        " .endif                             \n\t"
+        ".endr                               \n\t"
+        : [out] "=f" (out) : [in] "f" (in)
+    );
+    return out;
+}
+
+static __m256i lasx_set_w(int e7, int e6, int e5, int e4, int e3, int e2, int e1, int e0) {
+    v8i32 __ret = {e0, e1, e2, e3, e4, e5, e6, e7};
+    return (__m256i)__ret;
+}
+
+static __m128i lsx_set_w(int32_t a, int32_t b, int32_t c, int32_t d) {
+    v4i32 __ret = {d, c, b, a};
+    return (__m128i)__ret;
+}
+
+static __m256i lasx_set_d(int64_t a, int64_t b, int64_t c, int64_t d) {
+    v4i64 __ret = {d, c, b, a};
+    return (__m256i)__ret;
+}
+
+static __m256i lasx_insertf128( __m128i x, __m128i y) {
+    return lasx_set_q(x, y);
+}
+
+static __m128i lsx_shuffle_b(__m128i a, __m128i b) {
+    __m128i mask_f, zero, tmp0, tmp2, mask;
+    int f = 0x8f;
+    mask_f = __lsx_vreplgr2vr_b(f);
+    zero = __lsx_vldi(0);
+    tmp0 = __lsx_vand_v(b, mask_f); // get mask with low 4 bit and sign bits
+    tmp0 = __lsx_vori_b(tmp0, 0x10); // make each mask or  with 0x10 prepare for positive
+    mask = __lsx_vsle_b(zero, tmp0); // if mask >= 0, set mask
+    tmp2 = __lsx_vand_v(tmp0, mask); // maskout the in2 < ones
+    return __lsx_vshuf_b(a, zero, tmp2);
+}
+
+static __m256i lasx_shuffle_b(__m256i a, __m256i b) {
+    __m256i mask_f, zero, tmp0, tmp2, mask;
+    int f = 0x8f;
+    mask_f = __lasx_xvreplgr2vr_b(f);
+    zero = __lasx_xvldi(0);
+    tmp0 = __lasx_xvand_v(b, mask_f); // get mask with low 4 bit and sign bits
+    tmp0 = __lasx_xvori_b(tmp0, 0x10); // make each mask or  with 0x10 prepare for positive
+    mask = __lasx_xvsle_b(zero, tmp0); // if mask >= 0, set mask
+    tmp2 = __lasx_xvand_v(tmp0, mask); // maskout the in2 < ones
+    return __lasx_xvshuf_b(a, zero, tmp2);
+}
+
+static __m256i lasx_extu8_16(__m128i a) {
+    __m128i zero = __lsx_vldi(0);
+    __m128i vlo = __lsx_vilvl_b(zero, a);
+    __m128i vhi = __lsx_vilvh_b(zero, a);
+    return lasx_set_q(vhi, vlo);
+}
+
+static __m256i lasx_ext8_16(__m128i a) {
+     __m128i sign = __lsx_vslti_b(a, 0);
+     __m128i vlo = __lsx_vilvl_b(sign, a);
+     __m128i vhi = __lsx_vilvh_b(sign, a);
+     return lasx_set_q(vhi, vlo);
+}
+
+static __m256i lasx_ext16_32(__m128i a) {
+    __m256i tmp1;
+    tmp1 = __lasx_xvinsgr2vr_w(tmp1, __lsx_vpickve2gr_h(a, 0), 0);
+    tmp1 = __lasx_xvinsgr2vr_w(tmp1, __lsx_vpickve2gr_h(a, 1), 1);
+    tmp1 = __lasx_xvinsgr2vr_w(tmp1, __lsx_vpickve2gr_h(a, 2), 2);
+    tmp1 = __lasx_xvinsgr2vr_w(tmp1, __lsx_vpickve2gr_h(a, 3), 3);
+    tmp1 = __lasx_xvinsgr2vr_w(tmp1, __lsx_vpickve2gr_h(a, 4), 4);
+    tmp1 = __lasx_xvinsgr2vr_w(tmp1, __lsx_vpickve2gr_h(a, 5), 5);
+    tmp1 = __lasx_xvinsgr2vr_w(tmp1, __lsx_vpickve2gr_h(a, 6), 6);
+    tmp1 = __lasx_xvinsgr2vr_w(tmp1, __lsx_vpickve2gr_h(a, 7), 7);
+    return tmp1;
+}
+
+static __m128i lasx_extracti128( __m256i a, int pos) {
+    __m128i ret;
+    if( pos == 0)
+    {
+       ret = lasx_extracti128_lo(a);
+    } else {
+       ret = lasx_extracti128_hi(a);
+    }
+    return ret;
+}
+
+static __m128 lasx_extractf128( __m256 a, int pos) {
+    __m128 ret;
+    if( pos == 0)
+    {
+       ret = (__m128)lasx_extracti128_lo((__m256i)a);
+    } else {
+       ret = (__m128)lasx_extracti128_hi((__m256i)a);
+    }
+    return ret;
+}
+
+static __m128i lsx_hadd_h(__m128i a, __m128i b) {
+    __m128i tmp1 = __lsx_vpickev_h(b, a);
+    __m128i tmp2 = __lsx_vpickod_h(b, a);
+    return __lsx_vadd_h(tmp1, tmp2);
+}
+
+static __m128i lsx_hadd_w(__m128i a, __m128i b) {
+    __m128i tmp1 = __lsx_vpickev_w(b, a);
+    __m128i tmp2 = __lsx_vpickod_w(b, a);
+    return __lsx_vadd_w(tmp1, tmp2);
+}
+
+static __m128 lsx_hadd_s(__m128 a, __m128 b) {
+    __m128 tmp1 = (__m128)__lsx_vpickev_w((__m128i)b, (__m128i)a);
+    __m128 tmp2 = (__m128)__lsx_vpickod_w((__m128i)b, (__m128i)a);
+
+    return __lsx_vfadd_s(tmp1, tmp2);
+}
+
+static __m256i lasx_maddubs_h(__m256i a, __m256i b) {
+    __m256i tmp1, tmp2;
+    tmp1 = __lasx_xvmulwev_h_b(a, b);
+    tmp2 = __lasx_xvmulwod_h_b(a, b);
+    return __lasx_xvsadd_h(tmp1, tmp2);
+}
+
+static __m256i lasx_madd_h(__m256i a, __m256i b) {
+    __m256i tmp1, tmp2;
+    tmp1 = __lasx_xvmulwev_w_h(a, b);
+    tmp2 = __lasx_xvmulwod_w_h(a, b);
+    return __lasx_xvadd_w(tmp1, tmp2);
+}
+
+static __m256i lasx_packs_w(__m256i a, __m256i b) {
+    __m256i tmp, tmp1;
+    tmp = __lasx_xvsat_w(a, 15);
+    tmp1 = __lasx_xvsat_w(b, 15);
+    return __lasx_xvpickev_h(tmp1, tmp);
+}
+
+static __m256i lasx_packs_h(__m256i a, __m256i b) {
+    __m256i tmp, tmp1;
+    tmp = __lasx_xvsat_h(a, 7);
+    tmp1 = __lasx_xvsat_h(b, 7);
+    return __lasx_xvpickev_b(tmp1, tmp);
+}
+
+static __m128i lsx_packs_w(__m128i a, __m128i b) {
+    __m128i tmp, tmp1;
+    tmp = __lsx_vsat_w(a, 15);
+    tmp1 = __lsx_vsat_w(b, 15);
+    return __lsx_vpickev_h(tmp1, tmp);
+}
+
+static __m128i lsx_packs_h(__m128i a, __m128i b) {
+    __m128i tmp, tmp1;
+    tmp = __lsx_vsat_h(a, 7);
+    tmp1 = __lsx_vsat_h(b, 7);
+    return __lsx_vpickev_b(tmp1, tmp);
+}
+
+static __m128i lsx_packus_h(__m128i a, __m128i b) {
+    __m128i tmp, tmp1;
+    tmp = __lsx_vsat_hu(a, 7);
+    tmp1 = __lsx_vsat_hu(b, 7);
+    return __lsx_vpickev_b(tmp1, tmp);
+}
+
+
+static __m128i lsx_maddubs_h(__m128i a, __m128i b) {
+    __m128i tmp1, tmp2;
+    tmp1 = __lsx_vmulwev_h_b(a, b);
+    tmp2 = __lsx_vmulwod_h_b(a, b);
+    return __lsx_vsadd_h(tmp1, tmp2);
+}
+
+static __m128i lsx_madd_h(__m128i a, __m128i b) {
+    __m128i tmp1, tmp2;
+    tmp1 = __lsx_vmulwev_w_h(a, b);
+    tmp2 = __lsx_vmulwod_w_h(a, b);
+    return __lsx_vadd_w(tmp1, tmp2);
+}
+
+// multiply int8_t, add results pairwise twice
+static inline __m128i mul_sum_i8_pairs(const __m128i x, const __m128i y) {
+    // Get absolute values of x vectors
+    const __m128i ax = __lsx_vsigncov_b(x, x);
+    // Sign the values of the y vectors
+    const __m128i sy = __lsx_vsigncov_b(x, y);
+    // Perform multiplication and create 16-bit values
+    const __m128i dot = lsx_maddubs_h(ax, sy);
+    const __m128i ones = __lsx_vreplgr2vr_h(1);
+    return lsx_madd_h(ones, dot);
+}
+
+// horizontally add 8 floats
+static inline float hsum_float_8(const __m256 x) {
+    __m128 res = lasx_extractf128(x, 1);
+    ft_union tmp;
+    res = __lsx_vfadd_s(res, lasx_extractf128(x, 0));
+    res = __lsx_vfadd_s(res, (__m128)__lsx_vpickod_d((__m128i)res, (__m128i)res));
+    res = __lsx_vfadd_s(res, (__m128)__lsx_vinsgr2vr_w(__lsx_vldi(0), __lsx_vpickve2gr_w(res, 1), 0));
+    tmp.i = __lsx_vpickve2gr_w(res, 0);
+    return tmp.f;
+}
+
+// horizontally add 8 int32_t
+static inline int hsum_i32_8(const __m256i a) {
+
+    __m256i tmp1 = __lasx_xvpermi_q(a, a, 0x11);
+    __m256i tmp2 = __lasx_xvpermi_q(a, a, 0x00);
+
+    __m128i  tmp1_128 = lasx_extracti128_lo(tmp1);
+    __m128i  tmp2_128 = lasx_extracti128_lo(tmp2);
+
+    __m128i sum128 = __lsx_vadd_w(tmp1_128, tmp2_128);
+
+    __m128i ev = __lsx_vpickev_w(sum128, sum128);
+    __m128i od = __lsx_vpickod_w(sum128, sum128);
+    __m128i sum64 = __lsx_vadd_w(ev, od);
+
+    int sum64_1, sum64_2;
+    sum64_1 = __lsx_vpickve2gr_w(sum64, 0);
+    sum64_2 = __lsx_vpickve2gr_w(sum64, 1);
+
+    return  sum64_1 + sum64_2;
+}
+
+// horizontally add 4 int32_t
+static inline int hsum_i32_4(const __m128i a) {
+    __m128i ev = __lsx_vpickev_w(a, a);
+    __m128i od = __lsx_vpickod_w(a, a);
+    __m128i sum64 = __lsx_vadd_w(ev, od);
+
+    int sum64_1, sum64_2;
+    sum64_1 = __lsx_vpickve2gr_w(sum64, 0);
+    sum64_2 = __lsx_vpickve2gr_w(sum64, 1);
+
+    return  sum64_1 + sum64_2;
+}
+
+// spread 32 bits to 32 bytes { 0x00, 0xFF }
+static inline __m256i bytes_from_bits_32(const uint8_t * x) {
+
+    uint32_t x32;
+    memcpy(&x32, x, sizeof(uint32_t));
+    const __m256i shuf_mask = lasx_set_d(
+            0x0303030303030303, 0x0202020202020202,
+            0x0101010101010101, 0x0000000000000000);
+
+    __m256i bytes = lasx_shuffle_b(__lasx_xvreplgr2vr_w(x32), shuf_mask);
+    const __m256i bit_mask = __lasx_xvreplgr2vr_d(0x7fbfdfeff7fbfdfe);
+    bytes = __lasx_xvor_v(bytes, bit_mask);
+    return __lasx_xvseq_b(bytes, __lasx_xvreplgr2vr_d(-1));
+}
+
+// Unpack 32 4-bit fields into 32 bytes
+// The output vector contains 32 bytes, each one in [ 0 .. 15 ] interval
+static inline __m256i bytes_from_nibbles_32(const uint8_t * rsi) {
+    const __m128i lo = __lsx_vld((const __m128i *)rsi, 0);
+    __m128i hi = __lsx_vsrli_h(lo, 4);
+    return __lasx_xvandi_b(lasx_insertf128(hi, lo), 0xf);
+}
+
+// add int16_t pairwise and return as float vector
+static inline __m256 sum_i16_pairs_float(const __m256i x) {
+    __m256i v = __lasx_xvpackod_h(x, x);
+    __m256i summed_pairs = __lasx_xvaddwev_w_h(x, v);
+    return __lasx_xvffint_s_w(summed_pairs);
+}
+
+static inline __m256 mul_sum_us8_pairs_float(const __m256i ax, const __m256i sy) {
+    // Perform multiplication and create 16-bit values
+    const __m256i dot = lasx_maddubs_h(ax, sy);
+    return sum_i16_pairs_float(dot);
+}
+
+// multiply int8_t, add results pairwise twice and return as float vector
+static inline __m256 mul_sum_i8_pairs_float(const __m256i x, const __m256i y) {
+
+    // Get absolute values of x vectors
+    const __m256i ax = __lasx_xvsigncov_b(x, x);
+    // Sign the values of the y vectors
+    const __m256i sy = __lasx_xvsigncov_b(x, y);
+
+    return mul_sum_us8_pairs_float(ax, sy);
+}
+
+static inline __m128i packNibbles( __m256i bytes ) {
+    // Move bits within 16-bit lanes from 0000_abcd_0000_efgh into 0000_0000_abcd_efgh
+    const __m256i lowByte = __lasx_xvreplgr2vr_h(0xFF);
+     __m256i high = __lasx_xvandn_v(lowByte, bytes);
+    __m256i low = __lasx_xvand_v(lowByte, bytes);
+    high = __lasx_xvsrli_h(high, 4);
+    bytes = __lasx_xvor_v(low, high);
+    // Compress uint16_t lanes into bytes
+    __m128i *r0 = (__m128i *)&bytes;
+    __m256i tmp_h128 = __lasx_xvpermi_q(bytes, bytes, 0x11);
+    __m128i *r1 = (__m128i *)&tmp_h128;
+
+    __m128i zero = __lsx_vldi(0);
+    __m128i tmp, tmp2, tmp3;
+
+    tmp = __lsx_vmax_h(zero, *r0);
+    tmp2 = __lsx_vsat_hu(tmp, 7);
+
+    tmp = __lsx_vmax_h(zero, *r1);
+    tmp3 = __lsx_vsat_hu(tmp, 7);
+    return  __lsx_vpickev_b(tmp3, tmp2);
+}
+#endif  //__loongarch_asx
+
 // reference implementation for deterministic creation of model files
 void quantize_row_q4_0_reference(const float * restrict x, block_q4_0 * restrict y, int64_t k) {
     static const int qk = QK4_0;
@@ -643,6 +1046,102 @@ void quantize_row_q8_0(const float * restrict x, void * restrict vy, int64_t k)
         // store result
         __riscv_vse8_v_i8m1(y[i].qs , vs, vl);
     }
+
+#elif defined(__POWER9_VECTOR__)
+    for (int i = 0; i < nb; i++) {
+        vector float srcv [8];
+        vector float asrcv[8];
+        vector float amaxv[8];
+        vector signed int vi[8];
+
+        for (int j = 0; j < 8; j++) srcv[j]  = vec_xl(0, x + i*32 + 4*j);
+        for (int j = 0; j < 8; j++) asrcv[j] = vec_abs(srcv[j]);
+
+        for (int j = 0; j < 4; j++) amaxv[2*j] = vec_max(asrcv[2*j], asrcv[2*j+1]);
+        for (int j = 0; j < 2; j++) amaxv[4*j] = vec_max(amaxv[4*j], amaxv[4*j+2]);
+        for (int j = 0; j < 1; j++) amaxv[8*j] = vec_max(amaxv[8*j], amaxv[8*j+4]);
+
+        const float amax = MAX(MAX(vec_extract(amaxv[0], 0),
+                                   vec_extract(amaxv[0], 1)),
+                               MAX(vec_extract(amaxv[0], 2),
+                                   vec_extract(amaxv[0], 3)));
+
+        const float d = amax / ((1 << 7) - 1);
+        const float id = d ? 1.0f/d : 0.0f;
+        const vector float vid = vec_splats(id);
+
+        y[i].d = GGML_FP32_TO_FP16(d);
+
+        for (int j = 0; j < 8; j++) {
+            const vector float v  = vec_round(vec_mul(srcv[j], vid));
+            vi[j] = vec_cts(v, 0);
+        }
+        vec_xst(vec_pack(vec_pack(vi[0], vi[1]), vec_pack(vi[2], vi[3])),  0, &y[i].qs[0]);
+        vec_xst(vec_pack(vec_pack(vi[4], vi[5]), vec_pack(vi[6], vi[7])), 16, &y[i].qs[0]);
+
+#elif defined(__loongarch_asx)
+    for (int i = 0; i < nb; i++) {
+        ft_union fi;
+        __m256 v0 = (__m256)__lasx_xvld( x , 0);
+        __m256 v1 = (__m256)__lasx_xvld( x , 32);
+        __m256 v2 = (__m256)__lasx_xvld( x , 64);
+        __m256 v3 = (__m256)__lasx_xvld( x , 96);
+        x += 32;
+
+        // Compute max(abs(e)) for the block
+        const __m256 sign_bit = __lasx_xvreplfr2vr_s( -0.0f );
+        __m256 max_abs = (__m256)__lasx_xvandn_v( (__m256i)sign_bit, (__m256i)v0 );
+        max_abs = __lasx_xvfmax_s( max_abs, (__m256)__lasx_xvandn_v( (__m256i)sign_bit, (__m256i)v1 ) );
+        max_abs = __lasx_xvfmax_s( max_abs, (__m256)__lasx_xvandn_v( (__m256i)sign_bit, (__m256i)v2 ) );
+        max_abs = __lasx_xvfmax_s( max_abs, (__m256)__lasx_xvandn_v( (__m256i)sign_bit, (__m256i)v3 ) );
+
+        __m128 max4 = __lsx_vfmax_s( lasx_extractf128( max_abs, 1 ), lasx_extractf128( max_abs , 0) );
+        max4 = __lsx_vfmax_s( max4, (__m128)__lsx_vpickod_d((__m128i) max4, (__m128i)max4 ) );
+        __m128 tmp = max4;
+        max4 = __lsx_vfmax_s( max4, (__m128)__lsx_vinsgr2vr_w(tmp, __lsx_vpickve2gr_w( max4, 1 ), 0 ));
+        fi.i = __lsx_vpickve2gr_w( (__m128i)max4, 0 );
+        const float max_scalar = fi.f;
+
+        // Quantize these floats
+        const float d = max_scalar / 127.f;
+        y[i].d = GGML_FP32_TO_FP16(d);
+        const float id = ( max_scalar != 0.0f ) ? 127.f / max_scalar : 0.0f;
+        const __m256 mul = (__m256)__lasx_xvreplfr2vr_s( id );
+
+        // Apply the multiplier
+        v0 = __lasx_xvfmul_s( v0, mul );
+        v1 = __lasx_xvfmul_s( v1, mul );
+        v2 = __lasx_xvfmul_s( v2, mul );
+        v3 = __lasx_xvfmul_s( v3, mul );
+
+        // Round to nearest integer
+        __m256i i0 = __lasx_xvftintrne_w_s( v0 );
+        __m256i i1 = __lasx_xvftintrne_w_s( v1 );
+        __m256i i2 = __lasx_xvftintrne_w_s( v2 );
+        __m256i i3 = __lasx_xvftintrne_w_s( v3 );
+
+        __m128i ni0 = lasx_extracti128( i0, 0 );
+        __m128i ni1 = lasx_extracti128( i0, 1);
+        __m128i ni2 = lasx_extracti128( i1, 0);
+        __m128i ni3 = lasx_extracti128( i1, 1);
+        __m128i ni4 = lasx_extracti128( i2, 0);
+        __m128i ni5 = lasx_extracti128( i2, 1);
+        __m128i ni6 = lasx_extracti128( i3, 0);
+        __m128i ni7 = lasx_extracti128( i3, 1);
+
+        // Convert int32 to int16
+        ni0 = lsx_packs_w( ni0, ni1 );
+        ni2 = lsx_packs_w( ni2, ni3 );
+        ni4 = lsx_packs_w( ni4, ni5 );
+        ni6 = lsx_packs_w( ni6, ni7 );
+        // Convert int16 to int8
+        ni0 = lsx_packs_h( ni0, ni2 );
+        ni4 = lsx_packs_h( ni4, ni6 );
+
+        __lsx_vst(ni0, (__m128i *)(y[i].qs +  0), 0);
+        __lsx_vst(ni4, (__m128i *)(y[i].qs + 16), 0);
+
+    }
 #else
     GGML_UNUSED(nb);
     // scalar
@@ -790,12 +1289,12 @@ void quantize_row_q8_1(const float * restrict x, void * restrict vy, int64_t k)
         __m128 max4 = _mm_max_ps( _mm256_extractf128_ps( maxAbs, 1 ), _mm256_castps256_ps128( maxAbs ) );
         max4 = _mm_max_ps( max4, _mm_movehl_ps( max4, max4 ) );
         max4 = _mm_max_ss( max4, _mm_movehdup_ps( max4 ) );
-        const float maxScalar = _mm_cvtss_f32( max4 );
+        const float max_scalar = _mm_cvtss_f32( max4 );
 
         // Quantize these floats
-        const float d = maxScalar / 127.f;
+        const float d = max_scalar / 127.f;
         y[i].d = GGML_FP32_TO_FP16(d);
-        const float id = ( maxScalar != 0.0f ) ? 127.f / maxScalar : 0.0f;
+        const float id = ( max_scalar != 0.0f ) ? 127.f / max_scalar : 0.0f;
         const __m256 mul = _mm256_set1_ps( id );
 
         // Apply the multiplier
@@ -898,6 +1397,114 @@ void quantize_row_q8_1(const float * restrict x, void * restrict vy, int64_t k)
         int sum = __riscv_vmv_x_s_i16m1_i16(vwrs);
         y[i].s = GGML_FP32_TO_FP16(sum*d);
     }
+
+#elif defined(__POWER9_VECTOR__)
+    for (int i = 0; i < nb; i++) {
+        vector float srcv [8];
+        vector float asrcv[8];
+        vector float amaxv[8];
+        vector signed int vi[8];
+
+        for (int j = 0; j < 8; j++) srcv[j]  = vec_xl(0, x + i*32 + 4*j);
+        for (int j = 0; j < 8; j++) asrcv[j] = vec_abs(srcv[j]);
+
+        for (int j = 0; j < 4; j++) amaxv[2*j] = vec_max(asrcv[2*j], asrcv[2*j+1]);
+        for (int j = 0; j < 2; j++) amaxv[4*j] = vec_max(amaxv[4*j], amaxv[4*j+2]);
+        for (int j = 0; j < 1; j++) amaxv[8*j] = vec_max(amaxv[8*j], amaxv[8*j+4]);
+
+        const float amax = MAX(MAX(vec_extract(amaxv[0], 0),
+                                   vec_extract(amaxv[0], 1)),
+                               MAX(vec_extract(amaxv[0], 2),
+                                   vec_extract(amaxv[0], 3)));
+
+        const float d = amax / ((1 << 7) - 1);
+        const float id = d ? 1.0f/d : 0.0f;
+        const vector float vid = vec_splats(id);
+
+        y[i].d = GGML_FP32_TO_FP16(d);
+
+        vector int accv = vec_splats(0);
+
+        for (int j = 0; j < 8; j++) {
+            const vector float v  = vec_round(vec_mul(srcv[j], vid));
+            vi[j] = vec_cts(v, 0);
+
+            accv = vec_add(accv, vi[j]);
+        }
+        vec_xst(vec_pack(vec_pack(vi[0], vi[1]), vec_pack(vi[2], vi[3])),  0, &y[i].qs[0]);
+        vec_xst(vec_pack(vec_pack(vi[4], vi[5]), vec_pack(vi[6], vi[7])), 16, &y[i].qs[0]);
+
+        accv = vec_add(accv, vec_sld(accv, accv, 4));
+        accv = vec_add(accv, vec_sld(accv, accv, 8));
+        y[i].s = GGML_FP32_TO_FP16(d * vec_extract(accv, 0));
+
+#elif defined(__loongarch_asx)
+    for (int i = 0; i < nb; i++) {
+        ft_union ft;
+        __m256 v0 = (__m256)__lasx_xvld( x , 0 );
+        __m256 v1 = (__m256)__lasx_xvld( x , 32 );
+        __m256 v2 = (__m256)__lasx_xvld( x , 64 );
+        __m256 v3 = (__m256)__lasx_xvld( x , 96 );
+        x += 32;
+
+        // Compute max(abs(e)) for the block
+        const __m256 sign_bit = __lasx_xvreplfr2vr_s( -0.0f );
+        __m256 max_abs = (__m256)__lasx_xvandn_v( (__m256i)sign_bit, (__m256i)v0 );
+        max_abs = __lasx_xvfmax_s( max_abs, (__m256)__lasx_xvandn_v( (__m256i)sign_bit, (__m256i)v1 ) );
+        max_abs = __lasx_xvfmax_s( max_abs, (__m256)__lasx_xvandn_v( (__m256i)sign_bit, (__m256i)v2 ) );
+        max_abs = __lasx_xvfmax_s( max_abs, (__m256)__lasx_xvandn_v( (__m256i)sign_bit, (__m256i)v3 ) );
+
+        __m128 max4 = __lsx_vfmax_s( lasx_extractf128( max_abs, 1 ), lasx_extractf128( max_abs, 0) );
+        max4 = __lsx_vfmax_s( max4, (__m128)__lsx_vpickod_d((__m128i) max4, (__m128i)max4 ) );
+        __m128 tmp = max4;
+        max4 = __lsx_vfmax_s( max4, (__m128)__lsx_vextrins_w((__m128i)tmp, (__m128i)max4, 0x10 ));
+        ft.i = __lsx_vpickve2gr_w( (__m128i)max4, 0 );
+        const float max_scalar = ft.f;
+
+        // Quantize these floats
+        const float d = max_scalar / 127.f;
+        y[i].d = GGML_FP32_TO_FP16(d);
+        const float id = ( max_scalar != 0.0f ) ? 127.f / max_scalar : 0.0f;
+        const __m256 mul = __lasx_xvreplfr2vr_s( id );
+
+        // Apply the multiplier
+        v0 = __lasx_xvfmul_s( v0, mul );
+        v1 = __lasx_xvfmul_s( v1, mul );
+        v2 = __lasx_xvfmul_s( v2, mul );
+        v3 = __lasx_xvfmul_s( v3, mul );
+
+        // Round to nearest integer
+        __m256i i0 = __lasx_xvftintrne_w_s( v0 );
+        __m256i i1 = __lasx_xvftintrne_w_s( v1 );
+        __m256i i2 = __lasx_xvftintrne_w_s( v2 );
+        __m256i i3 = __lasx_xvftintrne_w_s( v3 );
+
+        __m128i ni0 = lasx_extracti128(i0, 0);
+        __m128i ni1 = lasx_extracti128( i0, 1);
+        __m128i ni2 = lasx_extracti128( i1, 0);
+        __m128i ni3 = lasx_extracti128( i1, 1);
+        __m128i ni4 = lasx_extracti128( i2, 0 );
+        __m128i ni5 = lasx_extracti128( i2, 1);
+        __m128i ni6 = lasx_extracti128( i3, 0);
+        __m128i ni7 = lasx_extracti128( i3, 1);
+
+        // Compute the sum of the quants and set y[i].s
+        const __m128i s0 = __lsx_vadd_w(__lsx_vadd_w(ni0, ni1), __lsx_vadd_w(ni2, ni3));
+        const __m128i s1 = __lsx_vadd_w(__lsx_vadd_w(ni4, ni5), __lsx_vadd_w(ni6, ni7));
+        y[i].s = GGML_FP32_TO_FP16(d * hsum_i32_4(__lsx_vadd_w(s0, s1)));
+
+        // Convert int32 to int16
+        ni0 = lsx_packs_w( ni0, ni1 );
+        ni2 = lsx_packs_w( ni2, ni3 );
+        ni4 = lsx_packs_w( ni4, ni5 );
+        ni6 = lsx_packs_w( ni6, ni7 );
+        // Convert int16 to int8
+        ni0 = lsx_packs_h( ni0, ni2 );
+        ni4 = lsx_packs_h( ni4, ni6 );
+
+        __lsx_vst(ni0, (__m128i *)(y[i].qs +  0), 0);
+        __lsx_vst(ni4, (__m128i *)(y[i].qs + 16), 0);
+    }
 #else
     GGML_UNUSED(nb);
     // scalar
@@ -1037,7 +1644,7 @@ static float make_qx_quants(int n, int nmax, const float * restrict x, int8_t *
         float ax = fabsf(x[i]);
         if (ax > amax) { amax = ax; max = x[i]; }
     }
-    if (amax < 1e-30f) { // all zero
+    if (amax < GROUP_MAX_EPS) { // all zero
         for (int i = 0; i < n; ++i) {
             L[i] = 0;
         }
@@ -1071,7 +1678,7 @@ static float make_qx_quants(int n, int nmax, const float * restrict x, int8_t *
         sumlx += w*x[i]*l;
         suml2 += w*l*l;
     }
-    float scale = sumlx/suml2;
+    float scale = suml2 ? sumlx/suml2 : 0.0f;
     if (return_early) return suml2 > 0 ? 0.5f*(scale + 1/iscale) : 1/iscale;
     float best = scale * sumlx;
     for (int is = -9; is <= 9; ++is) {
@@ -1105,7 +1712,7 @@ static float make_q3_quants(int n, int nmax, const float * restrict x, int8_t *
         float ax = fabsf(x[i]);
         if (ax > amax) { amax = ax; max = x[i]; }
     }
-    if (!amax) { // all zero
+    if (amax < GROUP_MAX_EPS) { // all zero
         for (int i = 0; i < n; ++i) { L[i] = 0; }
         return 0.f;
     }
@@ -1281,7 +1888,6 @@ static float make_qkx2_quants(int n, int nmax, const float * restrict x, const f
     return scale;
 }
 
-#if QK_K == 256
 static inline void get_scale_min_k4(int j, const uint8_t * restrict q, uint8_t * restrict d, uint8_t * restrict m) {
     if (j < 4) {
         *d = q[j] & 63; *m = q[j + 4] & 63;
@@ -1290,7 +1896,6 @@ static inline void get_scale_min_k4(int j, const uint8_t * restrict q, uint8_t *
         *m = (q[j+4] >>  4) | ((q[j-0] >> 6) << 4);
     }
 }
-#endif
 
 //========================- 2-bit (de)-quantization
 
@@ -1354,20 +1959,13 @@ void quantize_row_q2_K_reference(const float * restrict x, block_q2_K * restrict
             }
         }
 
-#if QK_K == 256
         for (int j = 0; j < QK_K; j += 128) {
             for (int l = 0; l < 32; ++l) {
                 y[i].qs[j/4 + l] = L[j + l] | (L[j + l + 32] << 2) | (L[j + l + 64] << 4) | (L[j + l + 96] << 6);
             }
         }
-#else
-        for (int l = 0; l < 16; ++l) {
-            y[i].qs[l] = L[l] | (L[l + 16] << 2) | (L[l + 32] << 4) | (L[l + 48] << 6);
-        }
-#endif
 
         x += QK_K;
-
     }
 }
 
@@ -1382,7 +1980,6 @@ void dequantize_row_q2_K(const block_q2_K * restrict x, float * restrict y, int6
 
         const uint8_t * q = x[i].qs;
 
-#if QK_K == 256
         int is = 0;
         float dl, ml;
         for (int n = 0; n < QK_K; n += 128) {
@@ -1401,19 +1998,6 @@ void dequantize_row_q2_K(const block_q2_K * restrict x, float * restrict y, int6
             }
             q += 32;
         }
-#else
-        float dl1 = d * (x[i].scales[0] & 0xF), ml1 = min * (x[i].scales[0] >> 4);
-        float dl2 = d * (x[i].scales[1] & 0xF), ml2 = min * (x[i].scales[1] >> 4);
-        float dl3 = d * (x[i].scales[2] & 0xF), ml3 = min * (x[i].scales[2] >> 4);
-        float dl4 = d * (x[i].scales[3] & 0xF), ml4 = min * (x[i].scales[3] >> 4);
-        for (int l = 0; l < 16; ++l) {
-            y[l+ 0] = dl1 * ((int8_t)((q[l] >> 0) & 3)) - ml1;
-            y[l+16] = dl2 * ((int8_t)((q[l] >> 2) & 3)) - ml2;
-            y[l+32] = dl3 * ((int8_t)((q[l] >> 4) & 3)) - ml3;
-            y[l+48] = dl4 * ((int8_t)((q[l] >> 6) & 3)) - ml4;
-        }
-        y += QK_K;
-#endif
     }
 }
 
@@ -1574,7 +2158,7 @@ static float make_qp_quants(int n, int nmax, const float * restrict x, uint8_t *
             break;
         }
     }
-    return sumlx / suml2;
+    return sumlx/suml2;
 }
 
 static void quantize_row_q2_K_impl(const float * restrict x, block_q2_K * restrict y, int k, const float * restrict quant_weights) {
@@ -1604,36 +2188,9 @@ static void quantize_row_q2_K_impl(const float * restrict x, block_q2_K * restri
         }
 
         float dm, mm;
-#if QK_K == 64
-        float max_scale = 0, max_min = 0;
-        for (int j = 0; j < QK_K/16; ++j) {
-            max_scale = MAX(max_scale, scales[j]);
-            max_min   = MAX(max_min,   mins[j]);
-        }
-        dm = max_scale/15;
-        mm = max_min/15;
-        if (max_scale) {
-            float id = 1/dm;
-            for (int j = 0; j < QK_K/16; ++j) {
-                int l = nearest_int(id*scales[j]);
-                Ls[j] = MAX(0, MIN(15, l));
-            }
-        } else {
-            memset(Ls, 0, QK_K/16);
-        }
-        if (max_min) {
-            float id = 1/mm;
-            for (int j = 0; j < QK_K/16; ++j) {
-                int l = nearest_int(id*mins[j]);
-                Lm[j] = MAX(0, MIN(15, l));
-            }
-        } else {
-            memset(Lm, 0, QK_K/16);
-        }
-#else
         dm  = make_qp_quants(QK_K/16, 15, scales, Ls, sw);
         mm  = make_qp_quants(QK_K/16, 15, mins,   Lm, sw);
-#endif
+
         y[i].d    = GGML_FP32_TO_FP16(dm);
         y[i].dmin = GGML_FP32_TO_FP16(mm);
         dm        = GGML_FP16_TO_FP32(y[i].d);
@@ -1656,20 +2213,13 @@ static void quantize_row_q2_K_impl(const float * restrict x, block_q2_K * restri
             }
         }
 
-#if QK_K == 256
         for (int j = 0; j < QK_K; j += 128) {
             for (int l = 0; l < 32; ++l) {
                 y[i].qs[j/4 + l] = L[j + l] | (L[j + l + 32] << 2) | (L[j + l + 64] << 4) | (L[j + l + 96] << 6);
             }
         }
-#else
-        for (int l = 0; l < 16; ++l) {
-            y[i].qs[l] = L[l] | (L[l + 16] << 2) | (L[l + 32] << 4) | (L[l + 48] << 6);
-        }
-#endif
 
         x += QK_K;
-
     }
 }
 
@@ -1710,7 +2260,6 @@ void quantize_row_q3_K_reference(const float * restrict x, block_q3_K * restrict
             }
         }
 
-#if QK_K == 256
         memset(y[i].scales, 0, 12);
         if (max_scale) {
             float iscale = -32.f/max_scale;
@@ -1744,36 +2293,6 @@ void quantize_row_q3_K_reference(const float * restrict x, block_q3_K * restrict
                 L[16*j + ii] = l + 4;
             }
         }
-#else
-        if (max_scale) {
-            float iscale = -8.f/max_scale;
-            for (int j = 0; j < QK_K/16; j+=2) {
-                int l1 = nearest_int(iscale*scales[j]);
-                l1 = 8 + MAX(-8, MIN(7, l1));
-                int l2 = nearest_int(iscale*scales[j+1]);
-                l2 = 8 + MAX(-8, MIN(7, l2));
-                y[i].scales[j/2] = l1 | (l2 << 4);
-            }
-            y[i].d = GGML_FP32_TO_FP16(1/iscale);
-        } else {
-            for (int j = 0; j < QK_K/16; j+=2) {
-                y[i].scales[j/2] = 0;
-            }
-            y[i].d = GGML_FP32_TO_FP16(0.f);
-        }
-        for (int j = 0; j < QK_K/16; ++j) {
-            int s = j%2 == 0 ? y[i].scales[j/2] & 0xF : y[i].scales[j/2] >> 4;
-            float d = GGML_FP16_TO_FP32(y[i].d) * (s - 8);
-            if (!d) {
-                continue;
-            }
-            for (int ii = 0; ii < 16; ++ii) {
-                int l = nearest_int(x[16*j + ii]/d);
-                l = MAX(-4, MIN(3, l));
-                L[16*j + ii] = l + 4;
-            }
-        }
-#endif
 
         memset(y[i].hmask, 0, QK_K/8);
         // We put the high-bit for the 1st 8 quants into bit 0, the next 8 into bit 1, etc.
@@ -1788,23 +2307,16 @@ void quantize_row_q3_K_reference(const float * restrict x, block_q3_K * restrict
                 m = 0; hm <<= 1;
             }
         }
-#if QK_K == 256
         for (int j = 0; j < QK_K; j += 128) {
             for (int l = 0; l < 32; ++l) {
                 y[i].qs[j/4 + l] = L[j + l] | (L[j + l + 32] << 2) | (L[j + l + 64] << 4) | (L[j + l + 96] << 6);
             }
         }
-#else
-        for (int l = 0; l < 16; ++l) {
-            y[i].qs[l] = L[l] | (L[l + 16] << 2) | (L[l + 32] << 4) | (L[l + 48] << 6);
-        }
-#endif
 
         x += QK_K;
     }
 }
 
-#if QK_K == 256
 void dequantize_row_q3_K(const block_q3_K * restrict x, float * restrict y, int64_t k) {
     assert(k % QK_K == 0);
     const int nb = k / QK_K;
@@ -1854,49 +2366,12 @@ void dequantize_row_q3_K(const block_q3_K * restrict x, float * restrict y, int6
 
     }
 }
-#else
-void dequantize_row_q3_K(const block_q3_K * restrict x, float * restrict y, int64_t k) {
-    assert(k % QK_K == 0);
-    assert(QK_K == 64);
-    const int nb = k / QK_K;
-
-    for (int i = 0; i < nb; i++) {
-
-        const float d_all = GGML_FP16_TO_FP32(x[i].d);
-
-        const uint8_t * restrict q = x[i].qs;
-        const uint8_t * restrict hm = x[i].hmask;
-
-        const float d1 = d_all * ((x[i].scales[0] & 0xF) - 8);
-        const float d2 = d_all * ((x[i].scales[0] >>  4) - 8);
-        const float d3 = d_all * ((x[i].scales[1] & 0xF) - 8);
-        const float d4 = d_all * ((x[i].scales[1] >>  4) - 8);
-
-        for (int l=0; l<8; ++l) {
-            uint8_t h = hm[l];
-            y[l+ 0] = d1 * ((int8_t)((q[l+0] >> 0) & 3) - ((h & 0x01) ? 0 : 4));
-            y[l+ 8] = d1 * ((int8_t)((q[l+8] >> 0) & 3) - ((h & 0x02) ? 0 : 4));
-            y[l+16] = d2 * ((int8_t)((q[l+0] >> 2) & 3) - ((h & 0x04) ? 0 : 4));
-            y[l+24] = d2 * ((int8_t)((q[l+8] >> 2) & 3) - ((h & 0x08) ? 0 : 4));
-            y[l+32] = d3 * ((int8_t)((q[l+0] >> 4) & 3) - ((h & 0x10) ? 0 : 4));
-            y[l+40] = d3 * ((int8_t)((q[l+8] >> 4) & 3) - ((h & 0x20) ? 0 : 4));
-            y[l+48] = d4 * ((int8_t)((q[l+0] >> 6) & 3) - ((h & 0x40) ? 0 : 4));
-            y[l+56] = d4 * ((int8_t)((q[l+8] >> 6) & 3) - ((h & 0x80) ? 0 : 4));
-        }
-        y += QK_K;
-    }
-}
-#endif
 
 void quantize_row_q3_K(const float * restrict x, void * restrict vy, int64_t k) {
     quantize_row_q3_K_reference(x, vy, k);
 }
 
 static void quantize_row_q3_K_impl(const float * restrict x, block_q3_K * restrict y, int64_t n_per_row, const float * restrict quant_weights) {
-#if QK_K != 256
-    (void)quant_weights;
-    quantize_row_q3_K_reference(x, y, n_per_row);
-#else
     assert(n_per_row % QK_K == 0);
     const int nb = n_per_row / QK_K;
 
@@ -1914,7 +2389,7 @@ static void quantize_row_q3_K_impl(const float * restrict x, block_q3_K * restri
 
         for (int j = 0; j < QK_K/16; ++j) {
             if (quant_weights) {
-                const float * qw = quant_weights ? quant_weights + QK_K * i + 16*j : NULL;
+                const float * qw = quant_weights + QK_K * i + 16*j;
                 for (int l = 0; l < 16; ++l) weight[l] = qw[l] * sqrtf(sigma2 + x[16*j+l]*x[16*j+l]);
             } else {
                 for (int l = 0; l < 16; ++l) weight[l] = x[16*j+l]*x[16*j+l];
@@ -1978,7 +2453,6 @@ static void quantize_row_q3_K_impl(const float * restrict x, block_q3_K * restri
 
         x += QK_K;
     }
-#endif
 }
 
 size_t quantize_q3_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
@@ -2010,7 +2484,6 @@ void quantize_row_q4_K_reference(const float * restrict x, block_q4_K * restrict
     float scales[QK_K/32];
 
     for (int i = 0; i < nb; i++) {
-
         float max_scale = 0; // as we are deducting the min, scales are always positive
         float max_min = 0;
         for (int j = 0; j < QK_K/32; ++j) {
@@ -2030,7 +2503,6 @@ void quantize_row_q4_K_reference(const float * restrict x, block_q4_K * restrict
             }
         }
 
-#if QK_K == 256
         float inv_scale = max_scale > 0 ? 63.f/max_scale : 0.f;
         float inv_min   = max_min   > 0 ? 63.f/max_min   : 0.f;
         for (int j = 0; j < QK_K/32; ++j) {
@@ -2062,39 +2534,7 @@ void quantize_row_q4_K_reference(const float * restrict x, block_q4_K * restrict
                 L[32*j + ii] = l;
             }
         }
-#else
-        const float s_factor = 15.f;
-        float inv_scale = max_scale > 0 ? s_factor/max_scale : 0.f;
-        float inv_min   = max_min   > 0 ? s_factor/max_min   : 0.f;
-        int d1 = nearest_int(inv_scale*scales[0]);
-        int m1 = nearest_int(inv_min*mins[0]);
-        int d2 = nearest_int(inv_scale*scales[1]);
-        int m2 = nearest_int(inv_min*mins[1]);
-        y[i].scales[0] = d1 | (m1 << 4);
-        y[i].scales[1] = d2 | (m2 << 4);
-        y[i].d[0] = GGML_FP32_TO_FP16(max_scale/s_factor);
-        y[i].d[1] = GGML_FP32_TO_FP16(max_min/s_factor);
 
-        float sumlx = 0;
-        int   suml2 = 0;
-        for (int j = 0; j < QK_K/32; ++j) {
-            const uint8_t sd = y[i].scales[j] & 0xF;
-            const uint8_t sm = y[i].scales[j] >>  4;
-            const float d = GGML_FP16_TO_FP32(y[i].d[0]) * sd;
-            if (!d) continue;
-            const float m = GGML_FP16_TO_FP32(y[i].d[1]) * sm;
-            for (int ii = 0; ii < 32; ++ii) {
-                int l = nearest_int((x[32*j + ii] + m)/d);
-                l = MAX(0, MIN(15, l));
-                L[32*j + ii] = l;
-                sumlx += (x[32*j + ii] + m)*l*sd;
-                suml2 += l*l*sd*sd;
-            }
-        }
-        if (suml2) {
-            y[i].d[0] = GGML_FP32_TO_FP16(sumlx/suml2);
-        }
-#endif
         uint8_t * q = y[i].qs;
         for (int j = 0; j < QK_K; j += 64) {
             for (int l = 0; l < 32; ++l) q[l] = L[j + l] | (L[j + l + 32] << 4);
@@ -2102,7 +2542,6 @@ void quantize_row_q4_K_reference(const float * restrict x, block_q4_K * restrict
         }
 
         x += QK_K;
-
     }
 }
 
@@ -2111,11 +2550,8 @@ void dequantize_row_q4_K(const block_q4_K * restrict x, float * restrict y, int6
     const int nb = k / QK_K;
 
     for (int i = 0; i < nb; i++) {
-
         const uint8_t * q = x[i].qs;
 
-#if QK_K == 256
-
         const float d   = GGML_FP16_TO_FP32(x[i].d);
         const float min = GGML_FP16_TO_FP32(x[i].dmin);
 
@@ -2130,18 +2566,6 @@ void dequantize_row_q4_K(const block_q4_K * restrict x, float * restrict y, int6
             for (int l = 0; l < 32; ++l) *y++ = d2 * (q[l]  >> 4) - m2;
             q += 32; is += 2;
         }
-#else
-        const float dall = GGML_FP16_TO_FP32(x[i].d[0]);
-        const float mall = GGML_FP16_TO_FP32(x[i].d[1]);
-        const float d1 = dall * (x[i].scales[0] & 0xF), m1 = mall * (x[i].scales[0] >> 4);
-        const float d2 = dall * (x[i].scales[1] & 0xF), m2 = mall * (x[i].scales[1] >> 4);
-        for (int l = 0; l < 32; ++l) {
-            y[l+ 0] = d1 * (q[l] & 0xF) - m1;
-            y[l+32] = d2 * (q[l] >>  4) - m2;
-        }
-        y += QK_K;
-#endif
-
     }
 }
 
@@ -2152,10 +2576,6 @@ void quantize_row_q4_K(const float * restrict x, void * restrict vy, int64_t k)
 }
 
 static void quantize_row_q4_K_impl(const float * restrict x, block_q4_K * restrict y, int64_t n_per_row, const float * quant_weights) {
-#if QK_K != 256
-    (void)quant_weights;
-    quantize_row_q4_K_reference(x, y, n_per_row);
-#else
     assert(n_per_row % QK_K == 0);
     const int64_t nb = n_per_row / QK_K;
 
@@ -2226,7 +2646,6 @@ static void quantize_row_q4_K_impl(const float * restrict x, block_q4_K * restri
         x += QK_K;
 
     }
-#endif
 }
 
 size_t quantize_q4_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
@@ -2251,21 +2670,13 @@ void quantize_row_q5_K_reference(const float * restrict x, block_q5_K * restrict
     assert(k % QK_K == 0);
     const int64_t nb = k / QK_K;
 
-#if QK_K == 256
     uint8_t L[QK_K];
     float mins[QK_K/32];
     float scales[QK_K/32];
     float weights[32];
     uint8_t Laux[32];
-#else
-    int8_t L[QK_K];
-    float scales[QK_K/16];
-#endif
 
     for (int i = 0; i < nb; i++) {
-
-#if QK_K == 256
-
         float max_scale = 0; // as we are deducting the min, scales are always positive
         float max_min = 0;
         for (int j = 0; j < QK_K/32; ++j) {
@@ -2337,55 +2748,8 @@ void quantize_row_q5_K_reference(const float * restrict x, block_q5_K * restrict
             m1 <<= 2; m2 <<= 2;
             ql += 32;
         }
-#else
-        float max_scale = 0, amax = 0;
-        for (int j = 0; j < QK_K/16; ++j) {
-            scales[j] = make_qx_quants(16, 16, x + 16*j, L + 16*j, 1, NULL);
-            float abs_scale = fabsf(scales[j]);
-            if (abs_scale > amax) {
-                amax = abs_scale;
-                max_scale = scales[j];
-            }
-        }
-
-        float iscale = -128.f/max_scale;
-        for (int j = 0; j < QK_K/16; ++j) {
-            int l = nearest_int(iscale*scales[j]);
-            y[i].scales[j] = MAX(-128, MIN(127, l));
-        }
-        y[i].d = GGML_FP32_TO_FP16(1/iscale);
-
-        for (int j = 0; j < QK_K/16; ++j) {
-            const float d = GGML_FP16_TO_FP32(y[i].d) * y[i].scales[j];
-            if (!d) continue;
-            for (int ii = 0; ii < 16; ++ii) {
-                int l = nearest_int(x[16*j + ii]/d);
-                l = MAX(-16, MIN(15, l));
-                L[16*j + ii] = l + 16;
-            }
-        }
-
-        uint8_t * restrict qh = y[i].qh;
-        uint8_t * restrict ql = y[i].qs;
-        memset(qh, 0, QK_K/8);
-
-        for (int j = 0; j < 32; ++j) {
-            int jm = j%8;
-            int is = j/8;
-            int l1 = L[j];
-            if (l1 > 15) {
-                l1 -= 16; qh[jm] |= (1 << is);
-            }
-            int l2 = L[j + 32];
-            if (l2 > 15) {
-                l2 -= 16; qh[jm] |= (1 << (4 + is));
-            }
-            ql[j] = l1 | (l2 << 4);
-        }
-#endif
 
         x += QK_K;
-
     }
 }
 
@@ -2394,12 +2758,9 @@ void dequantize_row_q5_K(const block_q5_K * restrict x, float * restrict y, int6
     const int64_t nb = k / QK_K;
 
     for (int i = 0; i < nb; i++) {
-
         const uint8_t * ql = x[i].qs;
         const uint8_t * qh = x[i].qh;
 
-#if QK_K == 256
-
         const float d = GGML_FP16_TO_FP32(x[i].d);
         const float min = GGML_FP16_TO_FP32(x[i].dmin);
 
@@ -2416,21 +2777,6 @@ void dequantize_row_q5_K(const block_q5_K * restrict x, float * restrict y, int6
             ql += 32; is += 2;
             u1 <<= 2; u2 <<= 2;
         }
-#else
-        float d = GGML_FP16_TO_FP32(x[i].d);
-        const int8_t * restrict s = x[i].scales;
-        for (int l = 0; l < 8; ++l) {
-            y[l+ 0] = d * s[0] * ((ql[l+ 0] & 0xF) - (qh[l] & 0x01 ? 0 : 16));
-            y[l+ 8] = d * s[0] * ((ql[l+ 8] & 0xF) - (qh[l] & 0x02 ? 0 : 16));
-            y[l+16] = d * s[1] * ((ql[l+16] & 0xF) - (qh[l] & 0x04 ? 0 : 16));
-            y[l+24] = d * s[1] * ((ql[l+24] & 0xF) - (qh[l] & 0x08 ? 0 : 16));
-            y[l+32] = d * s[2] * ((ql[l+ 0] >>  4) - (qh[l] & 0x10 ? 0 : 16));
-            y[l+40] = d * s[2] * ((ql[l+ 8] >>  4) - (qh[l] & 0x20 ? 0 : 16));
-            y[l+48] = d * s[3] * ((ql[l+16] >>  4) - (qh[l] & 0x40 ? 0 : 16));
-            y[l+56] = d * s[3] * ((ql[l+24] >>  4) - (qh[l] & 0x80 ? 0 : 16));
-        }
-        y += QK_K;
-#endif
     }
 }
 
@@ -2441,10 +2787,6 @@ void quantize_row_q5_K(const float * restrict x, void * restrict vy, int64_t k)
 }
 
 static void quantize_row_q5_K_impl(const float * restrict x, block_q5_K * restrict y, int64_t n_per_row, const float * quant_weights) {
-#if QK_K != 256
-    (void)quant_weights;
-    quantize_row_q5_K_reference(x, y, n_per_row);
-#else
     assert(n_per_row % QK_K == 0);
     const int64_t nb = n_per_row / QK_K;
 
@@ -2535,7 +2877,6 @@ static void quantize_row_q5_K_impl(const float * restrict x, block_q5_K * restri
         x += QK_K;
 
     }
-#endif
 }
 
 size_t quantize_q5_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
@@ -2581,7 +2922,7 @@ void quantize_row_q6_K_reference(const float * restrict x, block_q6_K * restrict
 
         }
 
-        if (!max_abs_scale) {
+        if (max_abs_scale < GROUP_MAX_EPS) {
             memset(&y[i], 0, sizeof(block_q6_K));
             y[i].d = GGML_FP32_TO_FP16(0.f);
             x += QK_K;
@@ -2608,7 +2949,6 @@ void quantize_row_q6_K_reference(const float * restrict x, block_q6_K * restrict
 
         uint8_t * restrict ql = y[i].ql;
         uint8_t * restrict qh = y[i].qh;
-#if QK_K == 256
         for (int j = 0; j < QK_K; j += 128) {
             for (int l = 0; l < 32; ++l) {
                 const uint8_t q1 = L[j + l +  0] & 0xF;
@@ -2622,19 +2962,8 @@ void quantize_row_q6_K_reference(const float * restrict x, block_q6_K * restrict
             ql += 64;
             qh += 32;
         }
-#else
-        for (int l = 0; l < 32; ++l) {
-            const uint8_t q1 = L[l +  0] & 0xF;
-            const uint8_t q2 = L[l + 32] & 0xF;
-            ql[l] = q1 | (q2 << 4);
-        }
-        for (int l = 0; l < 16; ++l) {
-            qh[l] = (L[l] >> 4) | ((L[l + 16] >> 4) << 2) | ((L[l + 32] >> 4) << 4) | ((L[l + 48] >> 4) << 6);
-        }
-#endif
 
         x += QK_K;
-
     }
 }
 
@@ -2643,14 +2972,12 @@ void dequantize_row_q6_K(const block_q6_K * restrict x, float * restrict y, int6
     const int64_t nb = k / QK_K;
 
     for (int i = 0; i < nb; i++) {
-
         const float d = GGML_FP16_TO_FP32(x[i].d);
 
         const uint8_t * restrict ql = x[i].ql;
         const uint8_t * restrict qh = x[i].qh;
         const int8_t  * restrict sc = x[i].scales;
 
-#if QK_K == 256
         for (int n = 0; n < QK_K; n += 128) {
             for (int l = 0; l < 32; ++l) {
                 int is = l/16;
@@ -2668,20 +2995,6 @@ void dequantize_row_q6_K(const block_q6_K * restrict x, float * restrict y, int6
             qh += 32;
             sc += 8;
         }
-#else
-        for (int l = 0; l < 16; ++l) {
-            const int8_t q1 = (int8_t)((ql[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32;
-            const int8_t q2 = (int8_t)((ql[l+16] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32;
-            const int8_t q3 = (int8_t)((ql[l+ 0]  >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32;
-            const int8_t q4 = (int8_t)((ql[l+16]  >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32;
-            y[l+ 0] = d * sc[0] * q1;
-            y[l+16] = d * sc[1] * q2;
-            y[l+32] = d * sc[2] * q3;
-            y[l+48] = d * sc[3] * q4;
-        }
-        y  += 64;
-#endif
-
     }
 }
 
@@ -2692,10 +3005,6 @@ void quantize_row_q6_K(const float * restrict x, void * restrict vy, int64_t k)
 }
 
 static void quantize_row_q6_K_impl(const float * restrict x, block_q6_K * restrict y, int64_t n_per_row, const float * quant_weights) {
-#if QK_K != 256
-    (void)quant_weights;
-    quantize_row_q6_K_reference(x, y, n_per_row);
-#else
     assert(n_per_row % QK_K == 0);
     const int64_t nb = n_per_row / QK_K;
 
@@ -2733,7 +3042,7 @@ static void quantize_row_q6_K_impl(const float * restrict x, block_q6_K * restri
 
         }
 
-        if (!max_abs_scale) {
+        if (max_abs_scale < GROUP_MAX_EPS) {
             memset(&y[i], 0, sizeof(block_q6_K));
             y[i].d = GGML_FP32_TO_FP16(0.f);
             x += QK_K;
@@ -2777,7 +3086,6 @@ static void quantize_row_q6_K_impl(const float * restrict x, block_q6_K * restri
         x += QK_K;
 
     }
-#endif
 }
 
 size_t quantize_q6_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
@@ -3194,30 +3502,21 @@ void dequantize_row_iq1_m(const block_iq1_m * restrict x, float * restrict y, in
     float delta[4];
     uint16_t idx[4];
 
-#if QK_K != 64
     iq1m_scale_t scale;
-#endif
 
     for (int i = 0; i < nb; i++) {
 
         const uint16_t * sc = (const uint16_t *)x[i].scales;
-#if QK_K == 64
-        const float d = GGML_FP16_TO_FP32(x[i].d);
-#else
         scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
         const float d = GGML_FP16_TO_FP32(scale.f16);
-#endif
+
         const uint8_t * qs = x[i].qs;
         const uint8_t * qh = x[i].qh;
 
         for (int ib = 0; ib < QK_K/32; ++ib) {
-#if QK_K == 64
-            const float dl1 = d * (2*((sc[ib/2] >> (8*(ib%2)+0)) & 0xf) + 1);
-            const float dl2 = d * (2*((sc[ib/2] >> (8*(ib%2)+4)) & 0xf) + 1);
-#else
             const float dl1 = d * (2*((sc[ib/2] >> (6*(ib%2)+0)) & 0x7) + 1);
             const float dl2 = d * (2*((sc[ib/2] >> (6*(ib%2)+3)) & 0x7) + 1);
-#endif
+
             idx[0] = qs[0] | ((qh[0] << 8) & 0x700);
             idx[1] = qs[1] | ((qh[0] << 4) & 0x700);
             idx[2] = qs[2] | ((qh[1] << 8) & 0x700);
@@ -3268,9 +3567,6 @@ void dequantize_row_iq4_nl(const block_iq4_nl * restrict x, float * restrict y,
 
 void dequantize_row_iq4_xs(const block_iq4_xs * restrict x, float * restrict y, int64_t k) {
     assert(k % QK_K == 0);
-#if QK_K == 64
-    dequantize_row_iq4_nl((const block_iq4_nl *)x, y, k);
-#else
     const int64_t nb = k / QK_K;
 
     for (int i = 0; i < nb; i++) {
@@ -3290,7 +3586,6 @@ void dequantize_row_iq4_xs(const block_iq4_xs * restrict x, float * restrict y,
             qs += 16;
         }
     }
-#endif
 }
 
 //===================================== Q8_K ==============================================
@@ -3392,6 +3687,43 @@ static inline __m128i get_scale_shuffle(int i) {
     };
     return _mm_loadu_si128((const __m128i*)k_shuffle + i);
 }
+#elif defined(__loongarch_asx)
+// shuffles to pick the required scales in dot products
+static inline __m256i get_scale_shuffle_q3k(int i) {
+    static const uint8_t k_shuffle[128] = {
+         0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1,     2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3,
+         4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5,     6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7,
+         8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9,    10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,
+        12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,    14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,
+    };
+    return __lasx_xvld((const __m256i*)k_shuffle + i, 0);
+}
+static inline __m256i get_scale_shuffle_k4(int i) {
+    static const uint8_t k_shuffle[256] = {
+         0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1,
+         2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3,
+         4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5,
+         6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7,
+         8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9,
+        10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,
+        12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,
+        14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15
+    };
+    return __lasx_xvld((const __m256i*)k_shuffle + i, 0);
+}
+static inline __m128i get_scale_shuffle(int i) {
+    static const uint8_t k_shuffle[128] = {
+         0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1,
+         2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3,
+         4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5,
+         6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7,
+         8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9,
+        10,10,10,10,10,10,10,10, 11,11,11,11,11,11,11,11,
+        12,12,12,12,12,12,12,12, 13,13,13,13,13,13,13,13,
+        14,14,14,14,14,14,14,14, 15,15,15,15,15,15,15,15
+    };
+    return __lsx_vld((const __m128i*)k_shuffle + i, 0);
+}
 #endif
 
 void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
@@ -3415,10 +3747,9 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r
 #if defined(__ARM_FEATURE_MATMUL_INT8)
     if (nrc == 2) {
         const block_q4_0 * restrict vx0 = vx;
-        const block_q4_0 * restrict vx1 = vx + bx;
-
+        const block_q4_0 * restrict vx1 = (const block_q4_0 *) ((const uint8_t*)vx + bx);
         const block_q8_0 * restrict vy0 = vy;
-        const block_q8_0 * restrict vy1 = vy + by;
+        const block_q8_0 * restrict vy1 = (const block_q8_0 *) ((const uint8_t*)vy + by);
 
         float32x4_t sumv0 = vdupq_n_f32(0.0f);
 
@@ -3452,10 +3783,12 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r
             const int8x16_t y1_l = vld1q_s8(b_y1->qs);
             const int8x16_t y1_h = vld1q_s8(b_y1->qs + 16);
 
-            float32x4_t scale = {GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y0->d),
-                                 GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y1->d),
-                                 GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y0->d),
-                                 GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y1->d)};
+            float32_t _scale[4] = { GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y0->d),
+                                    GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y1->d),
+                                    GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y0->d),
+                                    GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y1->d)};
+
+            float32x4_t scale = vld1q_f32(_scale);
 
             int8x16_t l0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
             int8x16_t l1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
@@ -3480,7 +3813,44 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r
         return;
     }
 #endif
-#if defined(__ARM_NEON)
+#if defined(__ARM_FEATURE_SVE)
+    const svbool_t ptrueh = svptrue_pat_b8(SV_VL16);
+    const svbool_t ptruel = svnot_b_z(svptrue_b8(), ptrueh);
+
+    svfloat32_t sumv0 = svdup_n_f32(0.0f);
+    svfloat32_t sumv1 = svdup_n_f32(0.0f);
+
+    assert(nb % 2 == 0); // TODO: handle odd nb
+
+    for (int i = 0; i < nb; i += 2) {
+        const block_q4_0 * restrict x0 = &x[i + 0];
+        const block_q4_0 * restrict x1 = &x[i + 1];
+        const block_q8_0 * restrict y0 = &y[i + 0];
+        const block_q8_0 * restrict y1 = &y[i + 1];
+
+        // load x
+        const svuint8_t qx0r = svld1rq_u8(svptrue_b8(), x0->qs);
+        const svuint8_t qx1r = svld1rq_u8(svptrue_b8(), x1->qs);
+
+        // 4-bit -> 8-bit
+        const svint8_t qx0 = svreinterpret_s8_u8(svlsr_n_u8_m(ptruel, svand_n_u8_m(ptrueh, qx0r, 0x0F), 0x04));
+        const svint8_t qx1 = svreinterpret_s8_u8(svlsr_n_u8_m(ptruel, svand_n_u8_m(ptrueh, qx1r, 0x0F), 0x04));
+
+        // sub 8
+        const svint8_t qx0s = svsub_n_s8_x(svptrue_b8(), qx0, 8);
+        const svint8_t qx1s = svsub_n_s8_x(svptrue_b8(), qx1, 8);
+
+        // load y
+        const svint8_t qy0 = svld1_s8(svptrue_b8(), y0->qs);
+        const svint8_t qy1 = svld1_s8(svptrue_b8(), y1->qs);
+
+        // dot product
+        sumv0 = svmla_n_f32_x(svptrue_b32(), sumv0, svcvt_f32_s32_x(svptrue_b32(), svdot_s32(svdup_n_s32(0), qx0s, qy0)), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d));
+        sumv1 = svmla_n_f32_x(svptrue_b32(), sumv1, svcvt_f32_s32_x(svptrue_b32(), svdot_s32(svdup_n_s32(0), qx1s, qy1)), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d));
+    }
+
+    *s = svaddv_f32(svptrue_b32(), svadd_f32_x(svptrue_b32(), sumv0, sumv1));
+#elif defined(__ARM_NEON)
     float32x4_t sumv0 = vdupq_n_f32(0.0f);
     float32x4_t sumv1 = vdupq_n_f32(0.0f);
 
@@ -3740,6 +4110,190 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r
     }
 
     *s = sumf;
+
+#elif defined(__POWER9_VECTOR__)
+    const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector unsigned char v4 = vec_splats((unsigned char)0x4);
+    const vector signed char v8 = vec_splats((signed char)0x8);
+
+    vector float vsumf0 = vec_splats(0.0f);
+
+#pragma GCC unroll 4
+    for (int i = 0; i < nb; i++) {
+        __builtin_prefetch(x[i].qs, 0, 1);
+        __builtin_prefetch(y[i].qs, 0, 1);
+
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(GGML_FP16_TO_FP32(y[i].d));
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector signed char qxs = (vector signed char)vec_xl( 0, x[i].qs);
+        vector signed char q8y0 = vec_xl( 0, y[i].qs);
+        vector signed char q8y1 = vec_xl(16, y[i].qs);
+
+        vector signed char q4x0 = vec_and(qxs, lowMask);
+        vector signed char q4x1 = vec_sr(qxs, v4);
+
+        q4x0 = vec_sub(q4x0, v8);
+        q4x1 = vec_sub(q4x1, v8);
+
+        vector signed short qv0 = vec_add(vec_mule(q4x0, q8y0), vec_mulo(q4x0, q8y0));
+        vector signed short qv1 = vec_add(vec_mule(q4x1, q8y1), vec_mulo(q4x1, q8y1));
+
+        qv0 = vec_add(qv0, qv1);
+
+        vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0));
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+    }
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined(__loongarch_asx)
+    // Initialize accumulator with zeros
+    __m256 acc = (__m256)__lasx_xvldi(0);
+
+    // Main loop
+    for (int i = 0; i < nb; ++i) {
+        /* Compute combined scale for the block */
+        const __m256 d = __lasx_xvreplfr2vr_s( GGML_FP16_TO_FP32(x[i].d) * GGML_FP16_TO_FP32(y[i].d) );
+
+        __m256i qx = bytes_from_nibbles_32(x[i].qs);
+
+        // Now we have a vector with bytes in [ 0 .. 15 ] interval. Offset them into [ -8 .. +7 ] interval.
+        const __m256i off = __lasx_xvreplgr2vr_b( 8 );
+        qx = __lasx_xvsub_b( qx, off );
+
+        __m256i qy = __lasx_xvld((const __m256i *)y[i].qs, 0);
+
+        const __m256 q = mul_sum_i8_pairs_float(qx, qy);
+
+        /* Multiply q with scale and accumulate */
+        acc = __lasx_xvfmadd_s( d, q, acc );
+    }
+
+    *s = hsum_float_8(acc);
+#elif defined(__loongarch_sx)
+    // set constants
+    const __m128i low_mask = __lsx_vreplgr2vr_b(0xF);
+    const __m128i off = __lsx_vreplgr2vr_b(8);
+
+    // Initialize accumulator with zeros
+    __m128 acc_0 = __lsx_vldi(0);
+    __m128 acc_1 = __lsx_vldi(0);
+    __m128 acc_2 = __lsx_vldi(0);
+    __m128 acc_3 = __lsx_vldi(0);
+
+    // First round without accumulation
+    {
+        _mm_prefetch(&x[0] + sizeof(block_q4_0), _MM_HINT_T0);
+        _mm_prefetch(&y[0] + sizeof(block_q8_0), _MM_HINT_T0);
+
+        // Compute combined scale for the block 0 and 1
+        const __m128 d_0_1 = __lsx_vreplgr2vr_w( GGML_FP16_TO_FP32(x[0].d) * GGML_FP16_TO_FP32(y[0].d) );
+
+        const __m128i tmp_0_1 = __lsx_vld((const __m128i *)x[0].qs, 0);
+
+        __m128i bx_0 = __lsx_vand_v(low_mask, tmp_0_1);
+        __m128i by_0 = __lsx_vld((const __m128i *)y[0].qs, 0);
+        bx_0 = __lsx_vsub_b(bx_0, off);
+        const __m128i i32_0 = mul_sum_i8_pairs(bx_0, by_0);
+
+        __m128i bx_1 = __lsx_vand_v(low_mask, __lsx_vsrli_d(tmp_0_1, 4));
+        __m128i by_1 = __lsx_vld((const __m128i *)(y[0].qs + 16), 0);
+        bx_1 = __lsx_vsub_b(bx_1, off);
+        const __m128i i32_1 = mul_sum_i8_pairs(bx_1, by_1);
+
+        // Compute combined scale for the block 2 and 3
+        const __m128 d_2_3 = __lsx_vreplgr2vr_w( GGML_FP16_TO_FP32(x[1].d) * GGML_FP16_TO_FP32(y[1].d) );
+
+        const __m128i tmp_2_3 = __lsx_vld((const __m128i *)x[1].qs, 0);
+
+        __m128i bx_2 = __lsx_vand_v(low_mask, tmp_2_3);
+        __m128i by_2 = __lsx_vld((const __m128i *)y[1].qs, 0);
+        bx_2 = __lsx_vsub_b(bx_2, off);
+        const __m128i i32_2 = mul_sum_i8_pairs(bx_2, by_2);
+
+        __m128i bx_3 = __lsx_vand_v(low_mask, __lsx_vsrli_d(tmp_2_3, 4));
+        __m128i by_3 = __lsx_vld((const __m128i *)(y[1].qs + 16), 0);
+        bx_3 = __lsx_vsub_b(bx_3, off);
+        const __m128i i32_3 = mul_sum_i8_pairs(bx_3, by_3);
+
+        // Convert int32_t to float
+        __m128 p0 = __lsx_vffint_s_w(i32_0);
+        __m128 p1 = __lsx_vffint_s_w(i32_1);
+        __m128 p2 = __lsx_vffint_s_w(i32_2);
+        __m128 p3 = __lsx_vffint_s_w(i32_3);
+
+        // Apply the scale
+        acc_0 = __lsx_vfmul_s( d_0_1, p0 );
+        acc_1 = __lsx_vfmul_s( d_0_1, p1 );
+        acc_2 = __lsx_vfmul_s( d_2_3, p2 );
+        acc_3 = __lsx_vfmul_s( d_2_3, p3 );
+    }
+
+    assert(nb % 2 == 0); // TODO: handle odd nb
+
+    // Main loop
+    for (int i = 2; i < nb; i+=2) {
+
+        // Compute combined scale for the block 0 and 1
+        const __m128 d_0_1 = __lsx_vreplgr2vr_w( GGML_FP16_TO_FP32(x[i].d) * GGML_FP16_TO_FP32(y[i].d) );
+
+        const __m128i tmp_0_1 = __lsx_vld((const __m128i *)x[i].qs, 0);
+
+        __m128i bx_0 = __lsx_vand_v(low_mask, tmp_0_1);
+        __m128i by_0 = __lsx_vld((const __m128i *)y[i].qs, 0);
+        bx_0 = __lsx_vsub_b(bx_0, off);
+        const __m128i i32_0 = mul_sum_i8_pairs(bx_0, by_0);
+
+        __m128i bx_1 = __lsx_vand_v(low_mask, __lsx_vsrli_d(tmp_0_1, 4));
+        __m128i by_1 = __lsx_vld((const __m128i *)(y[i].qs + 16), 0);
+        bx_1 = __lsx_vsub_b(bx_1, off);
+        const __m128i i32_1 = mul_sum_i8_pairs(bx_1, by_1);
+
+        //_mm_prefetch(&x[i] + 2 * sizeof(block_q4_0), _MM_HINT_T0);
+        //_mm_prefetch(&y[i] + 2 * sizeof(block_q8_0), _MM_HINT_T0);
+
+        // Compute combined scale for the block 2 and 3
+        const __m128 d_2_3 = __lsx_vreplgr2vr_w( GGML_FP16_TO_FP32(x[i + 1].d) * GGML_FP16_TO_FP32(y[i + 1].d) );
+
+        const __m128i tmp_2_3 = __lsx_vld((const __m128i *)x[i + 1].qs, 0);
+
+        __m128i bx_2 = __lsx_vand_v(low_mask, tmp_2_3);
+        __m128i by_2 = __lsx_vld((const __m128i *)y[i + 1].qs, 0);
+        bx_2 = __lsx_vsub_b(bx_2, off);
+        const __m128i i32_2 = mul_sum_i8_pairs(bx_2, by_2);
+
+        __m128i bx_3 = __lsx_vand_v(low_mask, __lsx_vsrli_d(tmp_2_3, 4));
+        __m128i by_3 = __lsx_vld((const __m128i *)(y[i + 1].qs + 16), 0);
+        bx_3 = __lsx_vsub_b(bx_3, off);
+        const __m128i i32_3 = mul_sum_i8_pairs(bx_3, by_3);
+
+        // Convert int32_t to float
+        __m128 p0 = __lsx_vffint_s_w(i32_0);
+        __m128 p1 = __lsx_vffint_s_w(i32_1);
+        __m128 p2 = __lsx_vffint_s_w(i32_2);
+        __m128 p3 = __lsx_vffint_s_w(i32_3);
+
+        // Apply the scale
+        __m128 p0_d = __lsx_vfmul_s( d_0_1, p0 );
+        __m128 p1_d = __lsx_vfmul_s( d_0_1, p1 );
+        __m128 p2_d = __lsx_vfmul_s( d_2_3, p2 );
+        __m128 p3_d = __lsx_vfmul_s( d_2_3, p3 );
+
+        // Acummulate
+        acc_0 = __lsx_vfadd_s(p0_d, acc_0);
+        acc_1 = __lsx_vfadd_s(p1_d, acc_1);
+        acc_2 = __lsx_vfadd_s(p2_d, acc_2);
+        acc_3 = __lsx_vfadd_s(p3_d, acc_3);
+    }
+
+    *s = hsum_float_4x4(acc_0, acc_1, acc_2, acc_3);
+
 #else
     // scalar
     float sumf = 0.0;
@@ -3782,9 +4336,9 @@ void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, size_t bs, const void * r
 #if defined(__ARM_FEATURE_MATMUL_INT8)
     if (nrc == 2) {
         const block_q4_1 * restrict vx0 = vx;
-        const block_q4_1 * restrict vx1 = vx + bx;
+        const block_q4_1 * restrict vx1 = (const block_q4_1 *) ((const uint8_t*)vx + bx);
         const block_q8_1 * restrict vy0 = vy;
-        const block_q8_1 * restrict vy1 = vy + by;
+        const block_q8_1 * restrict vy1 = (const block_q8_1 *) ((const uint8_t*)vy + by);
 
         float32x4_t sumv0 = vdupq_n_f32(0.0f);
         float32x4_t summs0 = vdupq_n_f32(0.0f);
@@ -3795,11 +4349,11 @@ void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, size_t bs, const void * r
             const block_q8_1 * restrict b_y0 = &vy0[i];
             const block_q8_1 * restrict b_y1 = &vy1[i];
 
-            float32x4_t summs_t = {GGML_FP16_TO_FP32(b_x0->m) * GGML_FP16_TO_FP32(b_y0->s),
-                                   GGML_FP16_TO_FP32(b_x1->m) * GGML_FP16_TO_FP32(b_y0->s),
-                                   GGML_FP16_TO_FP32(b_x0->m) * GGML_FP16_TO_FP32(b_y1->s),
-                                   GGML_FP16_TO_FP32(b_x1->m) * GGML_FP16_TO_FP32(b_y1->s)};
-            summs0 += summs_t;
+            float32_t summs_t[4] = {GGML_FP16_TO_FP32(b_x0->m) * GGML_FP16_TO_FP32(b_y0->s),
+                                    GGML_FP16_TO_FP32(b_x1->m) * GGML_FP16_TO_FP32(b_y0->s),
+                                    GGML_FP16_TO_FP32(b_x0->m) * GGML_FP16_TO_FP32(b_y1->s),
+                                    GGML_FP16_TO_FP32(b_x1->m) * GGML_FP16_TO_FP32(b_y1->s)};
+            summs0 = vaddq_f32(summs0, vld1q_f32(summs_t));
 
             const uint8x16_t m4b = vdupq_n_u8(0x0F);
 
@@ -3819,10 +4373,11 @@ void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, size_t bs, const void * r
             const int8x16_t y1_h = vld1q_s8(b_y1->qs + 16);
 
             // mmla into int32x4_t
-            float32x4_t scale = {GGML_FP16_TO_FP32(b_x0->d)*b_y0->d,
-                                 GGML_FP16_TO_FP32(b_x0->d)*b_y1->d,
-                                 GGML_FP16_TO_FP32(b_x1->d)*b_y0->d,
-                                 GGML_FP16_TO_FP32(b_x1->d)*b_y1->d};
+            float32_t _scale[4] = {GGML_FP16_TO_FP32(b_x0->d)*b_y0->d,
+                                   GGML_FP16_TO_FP32(b_x0->d)*b_y1->d,
+                                   GGML_FP16_TO_FP32(b_x1->d)*b_y0->d,
+                                   GGML_FP16_TO_FP32(b_x1->d)*b_y1->d};
+            float32x4_t scale = vld1q_f32(_scale);
 
             int8x16_t l0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
             int8x16_t l1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
@@ -3841,7 +4396,7 @@ void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, size_t bs, const void * r
 
         float32x4_t sumv1 = vextq_f32(sumv0, sumv0, 2);
         float32x4_t sumv2 = vzip1q_f32(sumv0, sumv1);
-        sumv2 = sumv2 + summs0;
+        sumv2 = vaddq_f32(sumv2, summs0);
 
         vst1_f32(s, vget_low_f32(sumv2));
         vst1_f32(s + bs, vget_high_f32(sumv2));
@@ -3958,6 +4513,79 @@ void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, size_t bs, const void * r
     }
 
     *s = sumf;
+
+#elif defined(__POWER9_VECTOR__)
+    const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector unsigned char v4 = vec_splats((unsigned char)0x4);
+
+    vector float vsumf0 = vec_splats(0.0f);
+
+#pragma GCC unroll 4
+    for (int i = 0; i < nb; i++) {
+        __builtin_prefetch(x[i].qs, 0, 1);
+        __builtin_prefetch(y[i].qs, 0, 1);
+
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(GGML_FP16_TO_FP32(y[i].d));
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector float vxmin = vec_splats(GGML_FP16_TO_FP32(x[i].m));
+        vector float vys = {GGML_FP16_TO_FP32(y[i].s), 0.0f, 0.0f, 0.0f};
+        vsumf0 = vec_madd(vxmin, vys, vsumf0);
+
+        vector signed char qxs = (vector signed char)vec_xl( 0, x[i].qs);
+        vector signed char q8y0 = vec_xl( 0, y[i].qs);
+        vector signed char q8y1 = vec_xl(16, y[i].qs);
+
+        vector signed char q4x0 = vec_and(qxs, lowMask);
+        vector signed char q4x1 = vec_sr(qxs, v4);
+
+        vector signed short qv0 = vec_add(vec_mule(q4x0, q8y0), vec_mulo(q4x0, q8y0));
+        vector signed short qv1 = vec_add(vec_mule(q4x1, q8y1), vec_mulo(q4x1, q8y1));
+
+        qv0 = vec_add(qv0, qv1);
+
+        vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0));
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+    }
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined(__loongarch_asx)
+    // Initialize accumulator with zeros
+    __m256 acc = (__m256)__lasx_xvldi(0);
+
+    float summs = 0;
+
+    // Main loop
+    for (int i = 0; i < nb; ++i) {
+        const float d0 = GGML_FP16_TO_FP32(x[i].d);
+        const float d1 = GGML_FP16_TO_FP32(y[i].d);
+
+        summs += GGML_FP16_TO_FP32(x[i].m) * GGML_FP16_TO_FP32(y[i].s);
+
+        const __m256 d0v = __lasx_xvreplfr2vr_s( d0 );
+        const __m256 d1v = __lasx_xvreplfr2vr_s( d1 );
+
+        // Compute combined scales
+        const __m256 d0d1 = __lasx_xvfmul_s( d0v, d1v );
+
+        // Load 16 bytes, and unpack 4 bit fields into bytes, making 32 bytes
+        const __m256i qx = bytes_from_nibbles_32(x[i].qs);
+        const __m256i qy = __lasx_xvld( (const __m256i *)y[i].qs, 0);
+
+        const __m256 xy = mul_sum_us8_pairs_float(qx, qy);
+
+        // Accumulate d0*d1*x*y
+        acc = __lasx_xvfmadd_s( d0d1, xy, acc );
+    }
+
+    *s = hsum_float_8(acc) + summs;
+
 #else
     // scalar
     float sumf = 0.0;
@@ -4243,6 +4871,75 @@ void ggml_vec_dot_q5_0_q8_0(int n, float * restrict s, size_t bs, const void * r
     }
 
     *s = sumf;
+
+#elif defined(__POWER9_VECTOR__)
+    const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector unsigned char v4 = vec_splats((unsigned char)4);
+
+    vector float vsumf0 = vec_splats(0.0f);
+
+#pragma GCC unroll 4
+    for (int i = 0; i < nb; ++i) {
+        __builtin_prefetch(x[i].qs, 0, 1);
+        __builtin_prefetch(y[i].qs, 0, 1);
+
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(GGML_FP16_TO_FP32(y[i].d));
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector signed long long aux64x2_0 = {(uint64_t)(table_b2b_1[x[i].qh[0]]), (uint64_t)(table_b2b_1[x[i].qh[1]])};
+        vector signed long long aux64x2_1 = {(uint64_t)(table_b2b_1[x[i].qh[2]]), (uint64_t)(table_b2b_1[x[i].qh[3]])};
+
+        vector signed char qh0 = (vector signed char)aux64x2_0;
+        vector signed char qh1 = (vector signed char)aux64x2_1;
+
+        vector signed char qxs = (vector signed char)vec_xl( 0, x[i].qs);
+
+        vector signed char q5x0 = vec_sub(vec_and (qxs, lowMask), qh0);
+        vector signed char q5x1 = vec_sub(vec_sr(qxs, v4), qh1);
+
+        vector signed char q8y0 = vec_xl(  0, y[i].qs);
+        vector signed char q8y1 = vec_xl( 16, y[i].qs);
+
+        vector signed short qv0 = vec_add(vec_mule(q5x0, q8y0), vec_mulo(q5x0, q8y0));
+        vector signed short qv1 = vec_add(vec_mule(q5x1, q8y1), vec_mulo(q5x1, q8y1));
+
+        qv0 = vec_add(qv0, qv1);
+
+        vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0));
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+    }
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined(__loongarch_asx)
+    // Initialize accumulator with zeros
+    __m256 acc = (__m256)__lasx_xvldi(0);
+
+    // Main loop
+    for (int i = 0; i < nb; i++) {
+        /* Compute combined scale for the block */
+        const __m256 d = __lasx_xvreplfr2vr_s(GGML_FP16_TO_FP32(x[i].d) * GGML_FP16_TO_FP32(y[i].d)); //FIXME
+
+        __m256i qx = bytes_from_nibbles_32(x[i].qs);
+        __m256i bxhi = bytes_from_bits_32(x[i].qh);
+        bxhi = __lasx_xvandn_v(bxhi, __lasx_xvreplgr2vr_b((char)0xF0));
+        qx = __lasx_xvor_v(qx, bxhi);
+
+        __m256i qy = __lasx_xvld((const __m256i *)y[i].qs, 0);
+
+        const __m256 q = mul_sum_i8_pairs_float(qx, qy);
+
+        /* Multiply q with scale and accumulate */
+        acc = __lasx_xvfmadd_s(d, q, acc);
+    }
+
+    *s = hsum_float_8(acc);
+
 #else
     // scalar
     float sumf = 0.0;
@@ -4547,6 +5244,82 @@ void ggml_vec_dot_q5_1_q8_1(int n, float * restrict s, size_t bs, const void * r
     }
 
     *s = sumf;
+
+#elif defined(__POWER9_VECTOR__)
+    const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector unsigned char v4 = vec_splats((unsigned char)0x4);
+
+    vector float vsumf0 = vec_splats(0.0f);
+
+#pragma GCC unroll 4
+    for (int i = 0; i < nb; ++i) {
+        __builtin_prefetch(x[i].qs, 0, 1);
+        __builtin_prefetch(y[i].qs, 0, 1);
+
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(GGML_FP16_TO_FP32(y[i].d));
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector float vxmin = vec_splats(GGML_FP16_TO_FP32(x[i].m));
+        vector float vys = {GGML_FP16_TO_FP32(y[i].s), 0.f, 0.f, 0.f};
+        vsumf0 = vec_madd(vxmin, vys, vsumf0);
+
+        vector unsigned long long aux64x2_0 = {(uint64_t)(table_b2b_0[x[i].qh[0]]), (uint64_t)(table_b2b_0[x[i].qh[1]])};
+        vector unsigned long long aux64x2_1 = {(uint64_t)(table_b2b_0[x[i].qh[2]]), (uint64_t)(table_b2b_0[x[i].qh[3]])};
+
+        vector signed char qh0 = (vector signed char)aux64x2_0;
+        vector signed char qh1 = (vector signed char)aux64x2_1;
+
+        vector signed char qxs = (vector signed char)vec_xl( 0, x[i].qs);
+
+        vector signed char q5x0 = vec_or(vec_and(qxs, lowMask), qh0);
+        vector signed char q5x1 = vec_or(vec_sr(qxs, v4), qh1);
+
+        vector signed char q8y0 = vec_xl(  0, y[i].qs);
+        vector signed char q8y1 = vec_xl( 16, y[i].qs);
+
+        vector signed short qv0 = vec_add(vec_mule(q5x0, q8y0), vec_mulo(q5x0, q8y0));
+        vector signed short qv1 = vec_add(vec_mule(q5x1, q8y1), vec_mulo(q5x1, q8y1));
+
+        qv0 = vec_add(qv0, qv1);
+
+        vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0));
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+    }
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined(__loongarch_asx)
+    // Initialize accumulator with zeros
+    __m256 acc = (__m256)__lasx_xvldi(0);
+
+    float summs = 0.0f;
+
+    // Main loop
+    for (int i = 0; i < nb; i++) {
+        const __m256 dx = __lasx_xvreplfr2vr_s(GGML_FP16_TO_FP32(x[i].d));
+
+        summs += GGML_FP16_TO_FP32(x[i].m) * GGML_FP16_TO_FP32(y[i].s);
+
+        __m256i qx = bytes_from_nibbles_32(x[i].qs);
+        __m256i bxhi = bytes_from_bits_32(x[i].qh);
+        bxhi = __lasx_xvand_v(bxhi, __lasx_xvreplgr2vr_b(0x10));
+        qx = __lasx_xvor_v(qx, bxhi);
+
+        const __m256 dy = __lasx_xvreplfr2vr_s(GGML_FP16_TO_FP32(y[i].d));
+        const __m256i qy = __lasx_xvld((const __m256i *)y[i].qs, 0);
+
+        const __m256 q = mul_sum_us8_pairs_float(qx, qy);
+
+        acc = __lasx_xvfmadd_s(q, __lasx_xvfmul_s(dx, dy), acc);
+    }
+
+    *s = hsum_float_8(acc) + summs;
+
 #else
     // scalar
     float sumf = 0.0;
@@ -4595,9 +5368,9 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, size_t bs, const void * r
 #if defined(__ARM_FEATURE_MATMUL_INT8)
     if (nrc == 2) {
         const block_q8_0 * restrict vx0 = vx;
-        const block_q8_0 * restrict vx1 = vx + bx;
+        const block_q8_0 * restrict vx1 = (const block_q8_0 *) ((const uint8_t*)vx + bx);
         const block_q8_0 * restrict vy0 = vy;
-        const block_q8_0 * restrict vy1 = vy + by;
+        const block_q8_0 * restrict vy1 = (const block_q8_0 *) ((const uint8_t*)vy + by);
 
         float32x4_t sumv0 = vdupq_n_f32(0.0f);
 
@@ -4619,10 +5392,11 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, size_t bs, const void * r
             const int8x16_t y1_l = vld1q_s8(b_y1->qs);
             const int8x16_t y1_h = vld1q_s8(b_y1->qs + 16);
 
-            float32x4_t scale = {GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y0->d),
-                             GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y1->d),
-                             GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y0->d),
-                             GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y1->d)};
+            float32_t _scale[4] = {GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y0->d),
+                                   GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y1->d),
+                                   GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y0->d),
+                                   GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y1->d)};
+            float32x4_t scale = vld1q_f32(_scale);
 
             int8x16_t l0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
             int8x16_t l1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
@@ -4647,7 +5421,32 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, size_t bs, const void * r
         return;
     }
 #endif
-#if defined(__ARM_NEON)
+#if defined(__ARM_FEATURE_SVE)
+    svfloat32_t sumv0 = svdup_n_f32(0.0f);
+    svfloat32_t sumv1 = svdup_n_f32(0.0f);
+
+    assert(nb % 2 == 0); // TODO: handle odd nb
+
+    for (int i = 0; i < nb; i += 2) {
+        const block_q8_0 * restrict x0 = &x[i + 0];
+        const block_q8_0 * restrict x1 = &x[i + 1];
+        const block_q8_0 * restrict y0 = &y[i + 0];
+        const block_q8_0 * restrict y1 = &y[i + 1];
+
+        // load x
+        const svint8_t qx0 = svld1_s8(svptrue_b8(), x0->qs);
+        const svint8_t qx1 = svld1_s8(svptrue_b8(), x1->qs);
+
+        // load y
+        const svint8_t qy0 = svld1_s8(svptrue_b8(), y0->qs);
+        const svint8_t qy1 = svld1_s8(svptrue_b8(), y1->qs);
+
+        sumv0 = svmla_n_f32_x(svptrue_b32(), sumv0, svcvt_f32_s32_x(svptrue_b32(), svdot_s32(svdup_n_s32(0), qx0, qy0)), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d));
+        sumv1 = svmla_n_f32_x(svptrue_b32(), sumv1, svcvt_f32_s32_x(svptrue_b32(), svdot_s32(svdup_n_s32(0), qx1, qy1)), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d));
+    }
+
+    *s = svaddv_f32(svptrue_b32(), svadd_f32_x(svptrue_b32(), sumv0, sumv1));
+#elif defined(__ARM_NEON)
     float32x4_t sumv0 = vdupq_n_f32(0.0f);
     float32x4_t sumv1 = vdupq_n_f32(0.0f);
 
@@ -4722,6 +5521,66 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, size_t bs, const void * r
     }
 
     *s = sumf;
+
+#elif defined(__POWER9_VECTOR__)
+    vector float vsumf0 = vec_splats(0.0f);
+
+#pragma GCC unroll 4
+    for (int i = 0; i < nb; i++) {
+        __builtin_prefetch(x[i].qs, 0, 1);
+        __builtin_prefetch(y[i].qs, 0, 1);
+
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(GGML_FP16_TO_FP32(y[i].d));
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector signed char q8x0 = vec_xl( 0, x[i].qs);
+        vector signed char q8x1 = vec_xl(16, x[i].qs);
+        vector signed char q8y0 = vec_xl( 0, y[i].qs);
+        vector signed char q8y1 = vec_xl(16, y[i].qs);
+
+        vector signed short qv0 = vec_mule(q8x0, q8y0);
+        vector signed short qv1 = vec_mulo(q8x0, q8y0);
+        vector signed short qv2 = vec_mule(q8x1, q8y1);
+        vector signed short qv3 = vec_mulo(q8x1, q8y1);
+
+        vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackh(qv1));
+        vector signed int vsumi1 = vec_add(vec_unpackl(qv0), vec_unpackl(qv1));
+        vector signed int vsumi2 = vec_add(vec_unpackh(qv2), vec_unpackh(qv3));
+        vector signed int vsumi3 = vec_add(vec_unpackl(qv2), vec_unpackl(qv3));
+
+        vsumi0 = vec_add(vsumi0, vsumi2);
+        vsumi1 = vec_add(vsumi1, vsumi3);
+
+        vsumi0 = vec_add(vsumi0, vsumi1);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+    }
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined(__loongarch_asx)
+    // Initialize accumulator with zeros
+    __m256 acc = (__m256)__lasx_xvldi(0);
+
+    // Main loop
+    for (int i = 0; i < nb; ++i) {
+        // Compute combined scale for the block
+        const __m256 d = __lasx_xvreplfr2vr_s(GGML_FP16_TO_FP32(x[i].d) * GGML_FP16_TO_FP32(y[i].d));
+        __m256i qx = __lasx_xvld((const __m256i *)x[i].qs, 0);
+        __m256i qy = __lasx_xvld((const __m256i *)y[i].qs, 0);
+
+        const __m256 q = mul_sum_i8_pairs_float(qx, qy);
+
+        // Multiply q with scale and accumulate
+        acc = __lasx_xvfmadd_s( d, q, acc );
+    }
+
+    *s = hsum_float_8(acc);
+
 #else
     // scalar
     float sumf = 0.0;
@@ -4740,7 +5599,6 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, size_t bs, const void * r
 #endif
 }
 
-#if QK_K == 256
 void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
@@ -5077,6 +5935,211 @@ void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 
     *s = sumf;
 
+#elif defined(__POWER9_VECTOR__)
+    const vector signed char lowMask = vec_splats((signed char)0x3);
+    const vector signed char lowScaleMask = vec_splats((signed char)0xF);
+    const vector unsigned char v2 = vec_splats((unsigned char)0x2);
+    const vector unsigned char v6 = vec_splats((unsigned char)0x6);
+    const vector unsigned char v4 = vec_splats((unsigned char)0x4);
+
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+    vector float vsumf2 = vec_splats(0.0f);
+    vector float vsumf3 = vec_splats(0.0f);
+
+    for (int i = 0; i < nb; ++i) {
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(y[i].d);
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector float vxmin = vec_splats(GGML_FP16_TO_FP32(x[i].dmin));
+        vector float vdmin = vec_mul(vxmin, vyd);
+
+        vector signed short q8ysums0 = vec_xl( 0, y[i].bsums);
+        vector signed short q8ysums1 = vec_xl(16, y[i].bsums);
+
+        vector signed char q2xmins = (vector signed char)vec_xl( 0, x[i].scales);
+        vector signed char vscales = vec_and(q2xmins, lowScaleMask);
+
+        q2xmins = vec_sr(q2xmins, v4);
+        vector signed short q2xmins0 = vec_unpackh(q2xmins);
+        vector signed short q2xmins1 = vec_unpackl(q2xmins);
+
+        vector signed int prod0 = vec_mule(q2xmins0, q8ysums0);
+        vector signed int prod1 = vec_mulo(q2xmins0, q8ysums0);
+        vector signed int prod2 = vec_mule(q2xmins1, q8ysums1);
+        vector signed int prod3 = vec_mulo(q2xmins1, q8ysums1);
+
+        vsumf0 = vec_nmsub(vec_ctf(prod0, 0), vdmin, vsumf0);
+        vsumf1 = vec_nmsub(vec_ctf(prod1, 0), vdmin, vsumf1);
+        vsumf2 = vec_nmsub(vec_ctf(prod2, 0), vdmin, vsumf2);
+        vsumf3 = vec_nmsub(vec_ctf(prod3, 0), vdmin, vsumf3);
+
+        vector signed int vsumi0 = vec_splats((int32_t)0);
+        vector signed int vsumi1 = vec_splats((int32_t)0);
+        vector signed int vsumi2 = vec_splats((int32_t)0);
+        vector signed int vsumi3 = vec_splats((int32_t)0);
+        vector signed int vsumi4 = vec_splats((int32_t)0);
+        vector signed int vsumi5 = vec_splats((int32_t)0);
+        vector signed int vsumi6 = vec_splats((int32_t)0);
+        vector signed int vsumi7 = vec_splats((int32_t)0);
+
+
+        for (int j = 0; j < QK_K/128; ++j) {
+            __builtin_prefetch(q2, 0, 1);
+            __builtin_prefetch(q8, 0, 1);
+
+            vector signed char qxs0 = (vector signed char)vec_xl( 0, q2);
+            vector signed char qxs1 = (vector signed char)vec_xl(16, q2);
+            q2 += 32;
+
+            vector signed char q2x00 = vec_and(qxs0, lowMask);
+            vector signed char q2x01 = vec_and(vec_sr(qxs0, v2), lowMask);
+            vector signed char q2x02 = vec_and(vec_sr(qxs0, v4), lowMask);
+            vector signed char q2x03 = vec_and(vec_sr(qxs0, v6), lowMask);
+            vector signed char q2x10 = vec_and(qxs1, lowMask);
+            vector signed char q2x11 = vec_and(vec_sr(qxs1, v2), lowMask);
+            vector signed char q2x12 = vec_and(vec_sr(qxs1, v4), lowMask);
+            vector signed char q2x13 = vec_and(vec_sr(qxs1, v6), lowMask);
+
+            vector signed char q8y00 = vec_xl(  0, q8);
+            vector signed char q8y10 = vec_xl( 16, q8);
+            vector signed char q8y01 = vec_xl( 32, q8);
+            vector signed char q8y11 = vec_xl( 48, q8);
+            vector signed char q8y02 = vec_xl( 64, q8);
+            vector signed char q8y12 = vec_xl( 80, q8);
+            vector signed char q8y03 = vec_xl( 96, q8);
+            vector signed char q8y13 = vec_xl(112, q8);
+            q8 += 128;
+
+            vector signed short qv0 = vec_add(vec_mule(q2x00, q8y00), vec_mulo(q2x00, q8y00));
+            vector signed short qv1 = vec_add(vec_mule(q2x01, q8y01), vec_mulo(q2x01, q8y01));
+            vector signed short qv2 = vec_add(vec_mule(q2x02, q8y02), vec_mulo(q2x02, q8y02));
+            vector signed short qv3 = vec_add(vec_mule(q2x03, q8y03), vec_mulo(q2x03, q8y03));
+            vector signed short qv4 = vec_add(vec_mule(q2x10, q8y10), vec_mulo(q2x10, q8y10));
+            vector signed short qv5 = vec_add(vec_mule(q2x11, q8y11), vec_mulo(q2x11, q8y11));
+            vector signed short qv6 = vec_add(vec_mule(q2x12, q8y12), vec_mulo(q2x12, q8y12));
+            vector signed short qv7 = vec_add(vec_mule(q2x13, q8y13), vec_mulo(q2x13, q8y13));
+
+            vector signed short vscales_h = vec_unpackh(vscales);
+            vector signed short vs0 = vec_splat(vscales_h, 0);
+            vector signed short vs1 = vec_splat(vscales_h, 1);
+            vector signed short vs2 = vec_splat(vscales_h, 2);
+            vector signed short vs3 = vec_splat(vscales_h, 3);
+            vector signed short vs4 = vec_splat(vscales_h, 4);
+            vector signed short vs5 = vec_splat(vscales_h, 5);
+            vector signed short vs6 = vec_splat(vscales_h, 6);
+            vector signed short vs7 = vec_splat(vscales_h, 7);
+            vscales = vec_sld(vscales, vscales, 8);
+
+            qv0 = vec_mul(qv0, vs0);
+            qv1 = vec_mul(qv1, vs2);
+            qv2 = vec_mul(qv2, vs4);
+            qv3 = vec_mul(qv3, vs6);
+
+            qv0 = vec_madd(qv4, vs1, qv0);
+            qv1 = vec_madd(qv5, vs3, qv1);
+            qv2 = vec_madd(qv6, vs5, qv2);
+            qv3 = vec_madd(qv7, vs7, qv3);
+
+            vsumi0 = vec_add(vec_unpackh(qv0), vsumi0);
+            vsumi1 = vec_add(vec_unpackh(qv1), vsumi1);
+            vsumi2 = vec_add(vec_unpackh(qv2), vsumi2);
+            vsumi3 = vec_add(vec_unpackh(qv3), vsumi3);
+
+            vsumi4 = vec_add(vec_unpackl(qv0), vsumi4);
+            vsumi5 = vec_add(vec_unpackl(qv1), vsumi5);
+            vsumi6 = vec_add(vec_unpackl(qv2), vsumi6);
+            vsumi7 = vec_add(vec_unpackl(qv3), vsumi7);
+        }
+
+        vsumi0 = vec_add(vsumi0, vsumi4);
+        vsumi1 = vec_add(vsumi1, vsumi5);
+        vsumi2 = vec_add(vsumi2, vsumi6);
+        vsumi3 = vec_add(vsumi3, vsumi7);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+        vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
+        vsumf3 = vec_madd(vec_ctf(vsumi3, 0), vd, vsumf3);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf2);
+    vsumf1 = vec_add(vsumf1, vsumf3);
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined __loongarch_asx
+
+    const __m256i m3 = __lasx_xvreplgr2vr_b(3);
+    const __m128i m4 = __lsx_vreplgr2vr_b(0xF);
+
+    __m256 acc = (__m256)__lasx_xvldi(0);
+
+    for (int i = 0; i < nb; ++i) {
+
+        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
+        const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
+
+        const uint8_t * restrict q2 = x[i].qs;
+        const int8_t  * restrict q8 = y[i].qs;
+
+        const __m128i mins_and_scales = __lsx_vld((const __m128i*)x[i].scales, 0);
+        const __m128i scales8 = __lsx_vand_v(mins_and_scales, m4);
+        const __m128i mins8 = __lsx_vand_v(__lsx_vsrli_h(mins_and_scales, 4), m4);
+        const __m256i mins = lasx_ext8_16(mins8);
+        const __m256i prod = lasx_madd_h(mins, __lasx_xvld((const __m256i*)y[i].bsums, 0));
+
+        acc = __lasx_xvfmadd_s(__lasx_xvreplfr2vr_s(dmin), __lasx_xvffint_s_w(prod), acc);
+
+        const __m256i all_scales = lasx_ext8_16(scales8);
+        const __m128i l_scales = lasx_extracti128(all_scales, 0);
+        const __m128i h_scales = lasx_extracti128(all_scales, 1);
+        const __m256i scales[2] = {lasx_insertf128(l_scales, l_scales), lasx_insertf128(h_scales, h_scales)};
+
+        __m256i sumi = __lasx_xvldi(0);
+
+        for (int j = 0; j < QK_K/128; ++j) {
+
+            const __m256i q2bits = __lasx_xvld((const __m256i*)q2, 0); q2 += 32;
+
+            const __m256i q8_0 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            const __m256i q8_1 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            const __m256i q8_2 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            const __m256i q8_3 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+
+            const __m256i q2_0 = __lasx_xvand_v(q2bits, m3);
+            const __m256i q2_1 = __lasx_xvand_v(__lasx_xvsrli_h(q2bits, 2), m3);
+            const __m256i q2_2 = __lasx_xvand_v(__lasx_xvsrli_h(q2bits, 4), m3);
+            const __m256i q2_3 = __lasx_xvand_v(__lasx_xvsrli_h(q2bits, 6), m3);
+
+            __m256i p0 = lasx_maddubs_h(q2_0, q8_0);
+            __m256i p1 = lasx_maddubs_h(q2_1, q8_1);
+            __m256i p2 = lasx_maddubs_h(q2_2, q8_2);
+            __m256i p3 = lasx_maddubs_h(q2_3, q8_3);
+
+            p0 = lasx_madd_h(lasx_shuffle_b(scales[j], get_scale_shuffle_q3k(0)), p0);
+            p1 = lasx_madd_h(lasx_shuffle_b(scales[j], get_scale_shuffle_q3k(1)), p1);
+            p2 = lasx_madd_h(lasx_shuffle_b(scales[j], get_scale_shuffle_q3k(2)), p2);
+            p3 = lasx_madd_h(lasx_shuffle_b(scales[j], get_scale_shuffle_q3k(3)), p3);
+
+            p0 = __lasx_xvadd_w(p0, p1);
+            p2 = __lasx_xvadd_w(p2, p3);
+
+            sumi = __lasx_xvadd_w(sumi, __lasx_xvadd_w(p0, p2));
+        }
+
+        acc = __lasx_xvfmadd_s(__lasx_xvreplfr2vr_s(d), __lasx_xvffint_s_w(sumi), acc);
+
+    }
+
+    *s = hsum_float_8(acc);
+
 #else
 
     float sumf = 0;
@@ -5120,271 +6183,6 @@ void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 #endif
 }
 
-#else
-
-void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
-    assert(nrc == 1);
-    UNUSED(nrc);
-    UNUSED(bx);
-    UNUSED(by);
-    UNUSED(bs);
-
-    const block_q2_K * restrict x = vx;
-    const block_q8_K * restrict y = vy;
-
-    const int nb = n / QK_K;
-
-#ifdef __ARM_NEON
-    const uint8x16_t m3 = vdupq_n_u8(0x3);
-
-    const int32x4_t vzero = vdupq_n_s32(0);
-
-    ggml_int8x16x4_t q2bytes;
-
-    uint32_t aux32[2];
-    const uint8_t * scales = (const uint8_t *)aux32;
-
-    float sum = 0;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d    =  y[i].d * GGML_FP16_TO_FP32(x[i].d);
-        const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
-
-        const uint8_t * restrict q2 = x[i].qs;
-        const int8_t  * restrict q8 = y[i].qs;
-        const uint32_t * restrict sc = (const uint32_t *)x[i].scales;
-
-        aux32[0] = sc[0] & 0x0f0f0f0f;
-        aux32[1] = (sc[0] >> 4) & 0x0f0f0f0f;
-
-        sum += dmin * (scales[4] * y[i].bsums[0] + scales[5] * y[i].bsums[1] + scales[6] * y[i].bsums[2] + scales[7] * y[i].bsums[3]);
-
-        int isum1 = 0, isum2 = 0;
-
-        const uint8x16_t q2bits = vld1q_u8(q2);
-
-        const ggml_int8x16x4_t q8bytes = ggml_vld1q_s8_x4(q8);
-
-        q2bytes.val[0] = vreinterpretq_s8_u8(vandq_u8(q2bits, m3));
-        q2bytes.val[1] = vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q2bits, 2), m3));
-        q2bytes.val[2] = vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q2bits, 4), m3));
-        q2bytes.val[3] = vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q2bits, 6), m3));
-
-        isum1 += vaddvq_s32(ggml_vdotq_s32(vzero, q2bytes.val[0], q8bytes.val[0])) * scales[0];
-        isum2 += vaddvq_s32(ggml_vdotq_s32(vzero, q2bytes.val[1], q8bytes.val[1])) * scales[1];
-        isum1 += vaddvq_s32(ggml_vdotq_s32(vzero, q2bytes.val[2], q8bytes.val[2])) * scales[2];
-        isum2 += vaddvq_s32(ggml_vdotq_s32(vzero, q2bytes.val[3], q8bytes.val[3])) * scales[3];
-
-        sum += d * (isum1 + isum2);
-    }
-
-    *s = sum;
-
-#elif defined __AVX2__
-
-    const __m256i m3 = _mm256_set1_epi8(3);
-
-    __m256 acc = _mm256_setzero_ps();
-
-    uint32_t ud, um;
-    const uint8_t * restrict db = (const uint8_t *)&ud;
-    const uint8_t * restrict mb = (const uint8_t *)&um;
-
-    float summs = 0;
-
-    // TODO: optimize this
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-        const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
-
-        const uint8_t * restrict q2 = x[i].qs;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const uint32_t * restrict sc = (const uint32_t *)x[i].scales;
-        ud = (sc[0] >> 0) & 0x0f0f0f0f;
-        um = (sc[0] >> 4) & 0x0f0f0f0f;
-
-        int32_t smin = mb[0] * y[i].bsums[0] + mb[1] * y[i].bsums[1] + mb[2] * y[i].bsums[2] + mb[3] * y[i].bsums[3];
-        summs += dmin * smin;
-
-        const __m128i q2bits = _mm_loadu_si128((const __m128i*)q2);
-        const __m256i q2_0 = _mm256_and_si256(MM256_SET_M128I(_mm_srli_epi16(q2bits, 2), q2bits), m3);
-        const __m256i q2_1 = _mm256_and_si256(MM256_SET_M128I(_mm_srli_epi16(q2bits, 6), _mm_srli_epi16(q2bits, 4)), m3);
-
-        const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
-        const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
-
-        const __m256i p0 = _mm256_maddubs_epi16(q2_0, q8_0);
-        const __m256i p1 = _mm256_maddubs_epi16(q2_1, q8_1);
-
-        const __m256i p_0 = _mm256_cvtepi16_epi32(_mm256_extracti128_si256(p0, 0));
-        const __m256i p_1 = _mm256_cvtepi16_epi32(_mm256_extracti128_si256(p0, 1));
-        const __m256i p_2 = _mm256_cvtepi16_epi32(_mm256_extracti128_si256(p1, 0));
-        const __m256i p_3 = _mm256_cvtepi16_epi32(_mm256_extracti128_si256(p1, 1));
-
-        acc = _mm256_fmadd_ps(_mm256_set1_ps(d * db[0]), _mm256_cvtepi32_ps(p_0), acc);
-        acc = _mm256_fmadd_ps(_mm256_set1_ps(d * db[1]), _mm256_cvtepi32_ps(p_1), acc);
-        acc = _mm256_fmadd_ps(_mm256_set1_ps(d * db[2]), _mm256_cvtepi32_ps(p_2), acc);
-        acc = _mm256_fmadd_ps(_mm256_set1_ps(d * db[3]), _mm256_cvtepi32_ps(p_3), acc);
-    }
-
-    *s = hsum_float_8(acc) + summs;
-
-#elif defined __AVX__
-
-    const __m128i m3 = _mm_set1_epi8(3);
-
-    __m256 acc = _mm256_setzero_ps();
-
-    uint32_t ud, um;
-    const uint8_t * restrict db = (const uint8_t *)&ud;
-    const uint8_t * restrict mb = (const uint8_t *)&um;
-
-    float summs = 0;
-
-    // TODO: optimize this
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-        const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
-
-        const uint8_t * restrict q2 = x[i].qs;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const uint32_t * restrict sc = (const uint32_t *)x[i].scales;
-        ud = (sc[0] >> 0) & 0x0f0f0f0f;
-        um = (sc[0] >> 4) & 0x0f0f0f0f;
-
-        int32_t smin = mb[0] * y[i].bsums[0] + mb[1] * y[i].bsums[1] + mb[2] * y[i].bsums[2] + mb[3] * y[i].bsums[3];
-        summs += dmin * smin;
-
-        const __m128i q2bits = _mm_loadu_si128((const __m128i*)q2);
-        const __m128i q2_0 = _mm_and_si128(q2bits, m3);
-        const __m128i q2_1 = _mm_and_si128(_mm_srli_epi16(q2bits, 2), m3);
-        const __m128i q2_2 = _mm_and_si128(_mm_srli_epi16(q2bits, 4), m3);
-        const __m128i q2_3 = _mm_and_si128(_mm_srli_epi16(q2bits, 6), m3);
-
-        const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
-        const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
-
-        const __m128i p0 = _mm_maddubs_epi16(q2_0, _mm256_extractf128_si256(q8_0, 0));
-        const __m128i p1 = _mm_maddubs_epi16(q2_1, _mm256_extractf128_si256(q8_0, 1));
-        const __m128i p2 = _mm_maddubs_epi16(q2_2, _mm256_extractf128_si256(q8_1, 0));
-        const __m128i p3 = _mm_maddubs_epi16(q2_3, _mm256_extractf128_si256(q8_1, 1));
-
-        const __m256i p_0 = MM256_SET_M128I(_mm_cvtepi16_epi32(_mm_unpackhi_epi64(p0, p0)), _mm_cvtepi16_epi32(p0));
-        const __m256i p_1 = MM256_SET_M128I(_mm_cvtepi16_epi32(_mm_unpackhi_epi64(p1, p1)), _mm_cvtepi16_epi32(p1));
-        const __m256i p_2 = MM256_SET_M128I(_mm_cvtepi16_epi32(_mm_unpackhi_epi64(p2, p2)), _mm_cvtepi16_epi32(p2));
-        const __m256i p_3 = MM256_SET_M128I(_mm_cvtepi16_epi32(_mm_unpackhi_epi64(p3, p3)), _mm_cvtepi16_epi32(p3));
-
-        acc = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d * db[0]), _mm256_cvtepi32_ps(p_0)), acc);
-        acc = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d * db[1]), _mm256_cvtepi32_ps(p_1)), acc);
-        acc = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d * db[2]), _mm256_cvtepi32_ps(p_2)), acc);
-        acc = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d * db[3]), _mm256_cvtepi32_ps(p_3)), acc);
-    }
-
-    *s = hsum_float_8(acc) + summs;
-
-#elif defined __riscv_v_intrinsic
-
-    uint32_t aux32[2];
-    const uint8_t * scales = (const uint8_t *)aux32;
-
-    float sumf = 0;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d    =  y[i].d * GGML_FP16_TO_FP32(x[i].d);
-        const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
-
-        const uint8_t * restrict q2 = x[i].qs;
-        const int8_t  * restrict q8 = y[i].qs;
-        const uint32_t * restrict sc = (const uint32_t *)x[i].scales;
-
-        aux32[0] = sc[0] & 0x0f0f0f0f;
-        aux32[1] = (sc[0] >> 4) & 0x0f0f0f0f;
-
-        sumf += dmin * (scales[4] * y[i].bsums[0] + scales[5] * y[i].bsums[1] + scales[6] * y[i].bsums[2] + scales[7] * y[i].bsums[3]);
-
-        int isum1 = 0;
-        int isum2 = 0;
-
-        size_t vl = 16;
-
-        vint16m1_t vzero = __riscv_vmv_v_x_i16m1(0, 1);
-
-        // load Q2
-        vuint8mf2_t q2_x = __riscv_vle8_v_u8mf2(q2, vl);
-
-        vint8mf2_t q2_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(q2_x, 0x03, vl));
-        vint8mf2_t q2_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(q2_x, 0x2, vl), 0x03 , vl));
-        vint8mf2_t q2_2 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(q2_x, 0x4, vl), 0x03 , vl));
-        vint8mf2_t q2_3 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(q2_x, 0x6, vl), 0x03 , vl));
-
-        // load Q8, and take product with Q2
-        vint16m1_t p0 = __riscv_vwmul_vv_i16m1(q2_0, __riscv_vle8_v_i8mf2(q8, vl), vl);
-        vint16m1_t p1 = __riscv_vwmul_vv_i16m1(q2_1, __riscv_vle8_v_i8mf2(q8+16, vl), vl);
-        vint16m1_t p2 = __riscv_vwmul_vv_i16m1(q2_2, __riscv_vle8_v_i8mf2(q8+32, vl), vl);
-        vint16m1_t p3 = __riscv_vwmul_vv_i16m1(q2_3, __riscv_vle8_v_i8mf2(q8+48, vl), vl);
-
-        vint16m1_t vs_0 = __riscv_vredsum_vs_i16m1_i16m1(p0, vzero, vl);
-        vint16m1_t vs_1 = __riscv_vredsum_vs_i16m1_i16m1(p1, vzero, vl);
-        vint16m1_t vs_2 = __riscv_vredsum_vs_i16m1_i16m1(p2, vzero, vl);
-        vint16m1_t vs_3 = __riscv_vredsum_vs_i16m1_i16m1(p3, vzero, vl);
-
-        isum1 += __riscv_vmv_x_s_i16m1_i16(vs_0) * scales[0];
-        isum2 += __riscv_vmv_x_s_i16m1_i16(vs_1) * scales[1];
-        isum1 += __riscv_vmv_x_s_i16m1_i16(vs_2) * scales[2];
-        isum2 += __riscv_vmv_x_s_i16m1_i16(vs_3) * scales[3];
-
-        sumf += d * (isum1 + isum2);
-
-    }
-
-    *s = sumf;
-
-#else
-
-    float sumf = 0;
-
-    int isum[QK_K/16];
-
-    for (int i = 0; i < nb; ++i) {
-
-        const uint8_t * q2 = x[i].qs;
-        const  int8_t * q8 = y[i].qs;
-        const uint8_t * sc = x[i].scales;
-
-        int summs = 0;
-        for (int j = 0; j < QK_K/16; ++j) {
-            summs += y[i].bsums[j] * (sc[j] >> 4);
-        }
-
-        const float dall = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-        const float dmin = y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
-
-        memset(isum, 0, (QK_K/16)*sizeof(int));
-        for (int l =  0; l < 16; ++l) {
-            isum[0] += q8[l+ 0] * ((q2[l] >> 0) & 3);
-            isum[1] += q8[l+16] * ((q2[l] >> 2) & 3);
-            isum[2] += q8[l+32] * ((q2[l] >> 4) & 3);
-            isum[3] += q8[l+48] * ((q2[l] >> 6) & 3);
-        }
-        for (int l = 0; l < QK_K/16; ++l) {
-            isum[l] *= (sc[l] & 0xF);
-        }
-        sumf += dall * (isum[0] + isum[1] + isum[2] + isum[3]) - dmin * summs;
-    }
-    *s = sumf;
-#endif
-}
-#endif
-
-#if QK_K == 256
 void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
@@ -5841,6 +6639,267 @@ void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 
     *s = sumf;
 
+#elif defined(__POWER9_VECTOR__)
+    const vector signed char lowMask = vec_splats((signed char)0x3);
+    const vector signed char v1 = vec_splats((signed char)0x1);
+    const vector unsigned char v2 = vec_splats((unsigned char)0x2);
+    const vector unsigned char v3 = vec_splats((unsigned char)0x3);
+    const vector unsigned char v4 = vec_splats((unsigned char)0x4);
+    const vector unsigned char v6 = vec_splats((unsigned char)0x6);
+    const vector signed char off = vec_splats((signed char)0x20);
+
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+    vector float vsumf2 = vec_splats(0.0f);
+    vector float vsumf3 = vec_splats(0.0f);
+
+    for (int i = 0; i < nb; ++i) {
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(y[i].d);
+        vector float vd = vec_mul(vxd, vyd);
+
+        uint32_t aux[3];
+        uint32_t utmp[4];
+
+        memcpy(aux, x[i].scales, 12);
+        utmp[3] = ((aux[1] >> 4) & kmask2) | (((aux[2] >> 6) & kmask1) << 4);
+        utmp[2] = ((aux[0] >> 4) & kmask2) | (((aux[2] >> 4) & kmask1) << 4);
+        utmp[1] = (aux[1] & kmask2) | (((aux[2] >> 2) & kmask1) << 4);
+        utmp[0] = (aux[0] & kmask2) | (((aux[2] >> 0) & kmask1) << 4);
+
+        vector signed char vscales = (vector signed char)vec_xl( 0, utmp);
+        vector signed char qxhs0 = (vector signed char)vec_xl( 0, x[i].hmask);
+        vector signed char qxhs1 = (vector signed char)vec_xl(16, x[i].hmask);
+
+        vscales = vec_sub(vscales, off);
+
+        vector signed int vsumi0 = vec_splats((int32_t)0);
+        vector signed int vsumi1 = vec_splats((int32_t)0);
+        vector signed int vsumi2 = vec_splats((int32_t)0);
+        vector signed int vsumi3 = vec_splats((int32_t)0);
+        vector signed int vsumi4 = vec_splats((int32_t)0);
+        vector signed int vsumi5 = vec_splats((int32_t)0);
+        vector signed int vsumi6 = vec_splats((int32_t)0);
+        vector signed int vsumi7 = vec_splats((int32_t)0);
+
+
+        const uint8_t * restrict q3 = x[i].qs;
+        const int8_t  * restrict q8 = y[i].qs;
+
+        for (int j = 0; j < QK_K/128; ++j) {
+            __builtin_prefetch(q3, 0, 1);
+            __builtin_prefetch(q8, 0, 1);
+
+            vector signed char qxs0 = (vector signed char)vec_xl( 0, q3);
+            vector signed char qxs1 = (vector signed char)vec_xl(16, q3);
+            q3 += 32;
+
+            //the low 2 bits
+            vector signed char qxs00 = vec_and(qxs0, lowMask);
+            vector signed char qxs01 = vec_and(vec_sr(qxs0, v2), lowMask);
+            vector signed char qxs02 = vec_and(vec_sr(qxs0, v4), lowMask);
+            vector signed char qxs03 = vec_and(vec_sr(qxs0, v6), lowMask);
+            vector signed char qxs10 = vec_and(qxs1, lowMask);
+            vector signed char qxs11 = vec_and(vec_sr(qxs1, v2), lowMask);
+            vector signed char qxs12 = vec_and(vec_sr(qxs1, v4), lowMask);
+            vector signed char qxs13 = vec_and(vec_sr(qxs1, v6), lowMask);
+
+            //the 3rd bit
+            vector signed char qxh00 = vec_sl(vec_andc(v1, qxhs0), v2);
+            vector signed char qxh01 = vec_sl(vec_andc(v1, vec_sr(qxhs0, (vector unsigned char)v1)), v2);
+            vector signed char qxh02 = vec_sl(vec_andc(v1, vec_sr(qxhs0, v2)), v2);
+            vector signed char qxh03 = vec_sl(vec_andc(v1, vec_sr(qxhs0, v3)), v2);
+            vector signed char qxh10 = vec_sl(vec_andc(v1, qxhs1), v2);
+            vector signed char qxh11 = vec_sl(vec_andc(v1, vec_sr(qxhs1, (vector unsigned char)v1)), v2);
+            vector signed char qxh12 = vec_sl(vec_andc(v1, vec_sr(qxhs1, v2)), v2);
+            vector signed char qxh13 = vec_sl(vec_andc(v1, vec_sr(qxhs1, v3)), v2);
+            qxhs0 = vec_sr(qxhs0, v4);
+            qxhs1 = vec_sr(qxhs1, v4);
+
+            vector signed char q3x00 = vec_sub(qxs00, qxh00);
+            vector signed char q3x01 = vec_sub(qxs01, qxh01);
+            vector signed char q3x02 = vec_sub(qxs02, qxh02);
+            vector signed char q3x03 = vec_sub(qxs03, qxh03);
+            vector signed char q3x10 = vec_sub(qxs10, qxh10);
+            vector signed char q3x11 = vec_sub(qxs11, qxh11);
+            vector signed char q3x12 = vec_sub(qxs12, qxh12);
+            vector signed char q3x13 = vec_sub(qxs13, qxh13);
+
+            vector signed char q8y00 = vec_xl(  0, q8);
+            vector signed char q8y10 = vec_xl( 16, q8);
+            vector signed char q8y01 = vec_xl( 32, q8);
+            vector signed char q8y11 = vec_xl( 48, q8);
+            vector signed char q8y02 = vec_xl( 64, q8);
+            vector signed char q8y12 = vec_xl( 80, q8);
+            vector signed char q8y03 = vec_xl( 96, q8);
+            vector signed char q8y13 = vec_xl(112, q8);
+            q8 += 128;
+
+            vector signed short vscales_h = vec_unpackh(vscales);
+            vector signed short vs0 = vec_splat(vscales_h, 0);
+            vector signed short vs1 = vec_splat(vscales_h, 1);
+            vector signed short vs2 = vec_splat(vscales_h, 2);
+            vector signed short vs3 = vec_splat(vscales_h, 3);
+            vector signed short vs4 = vec_splat(vscales_h, 4);
+            vector signed short vs5 = vec_splat(vscales_h, 5);
+            vector signed short vs6 = vec_splat(vscales_h, 6);
+            vector signed short vs7 = vec_splat(vscales_h, 7);
+            vscales = vec_sld(vscales, vscales, 8);
+
+            vector signed short qv00 = vec_add(vec_mule(q3x00, q8y00), vec_mulo(q3x00, q8y00));
+            vector signed short qv01 = vec_add(vec_mule(q3x01, q8y01), vec_mulo(q3x01, q8y01));
+            vector signed short qv02 = vec_add(vec_mule(q3x02, q8y02), vec_mulo(q3x02, q8y02));
+            vector signed short qv03 = vec_add(vec_mule(q3x03, q8y03), vec_mulo(q3x03, q8y03));
+            vector signed short qv10 = vec_add(vec_mule(q3x10, q8y10), vec_mulo(q3x10, q8y10));
+            vector signed short qv11 = vec_add(vec_mule(q3x11, q8y11), vec_mulo(q3x11, q8y11));
+            vector signed short qv12 = vec_add(vec_mule(q3x12, q8y12), vec_mulo(q3x12, q8y12));
+            vector signed short qv13 = vec_add(vec_mule(q3x13, q8y13), vec_mulo(q3x13, q8y13));
+
+            vector signed int vsum0 = vec_add(vec_mule(qv00, vs0), vec_mulo(qv00, vs0));
+            vector signed int vsum1 = vec_add(vec_mule(qv01, vs2), vec_mulo(qv01, vs2));
+            vector signed int vsum2 = vec_add(vec_mule(qv02, vs4), vec_mulo(qv02, vs4));
+            vector signed int vsum3 = vec_add(vec_mule(qv03, vs6), vec_mulo(qv03, vs6));
+            vector signed int vsum4 = vec_add(vec_mule(qv10, vs1), vec_mulo(qv10, vs1));
+            vector signed int vsum5 = vec_add(vec_mule(qv11, vs3), vec_mulo(qv11, vs3));
+            vector signed int vsum6 = vec_add(vec_mule(qv12, vs5), vec_mulo(qv12, vs5));
+            vector signed int vsum7 = vec_add(vec_mule(qv13, vs7), vec_mulo(qv13, vs7));
+
+            vsumi0 = vec_add(vsum0, vsumi0);
+            vsumi1 = vec_add(vsum1, vsumi1);
+            vsumi2 = vec_add(vsum2, vsumi2);
+            vsumi3 = vec_add(vsum3, vsumi3);
+            vsumi4 = vec_add(vsum4, vsumi4);
+            vsumi5 = vec_add(vsum5, vsumi5);
+            vsumi6 = vec_add(vsum6, vsumi6);
+            vsumi7 = vec_add(vsum7, vsumi7);
+        }
+
+        vsumi0 = vec_add(vsumi0, vsumi4);
+        vsumi1 = vec_add(vsumi1, vsumi5);
+        vsumi2 = vec_add(vsumi2, vsumi6);
+        vsumi3 = vec_add(vsumi3, vsumi7);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+        vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
+        vsumf3 = vec_madd(vec_ctf(vsumi3, 0), vd, vsumf3);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf2);
+    vsumf1 = vec_add(vsumf1, vsumf3);
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined __loongarch_asx
+
+    const __m256i m3 = __lasx_xvreplgr2vr_b(3);
+    const __m256i mone = __lasx_xvreplgr2vr_b(1);
+    const __m128i m32 = __lsx_vreplgr2vr_b(32);
+
+    __m256 acc = (__m256)__lasx_xvldi(0);
+
+    uint32_t aux[3];
+
+    for (int i = 0; i < nb; ++i) {
+
+        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
+        const uint8_t * restrict q3 = x[i].qs;
+        const int8_t  * restrict q8 = y[i].qs;
+        // Set up scales
+        memcpy(aux, x[i].scales, 12);
+        __m128i scales128 = lsx_set_w(
+                ((aux[1] >> 4) & kmask2) | (((aux[2] >> 6) & kmask1) << 4),
+                ((aux[0] >> 4) & kmask2) | (((aux[2] >> 4) & kmask1) << 4),
+                (aux[1] & kmask2) | (((aux[2] >> 2) & kmask1) << 4),
+                (aux[0] & kmask2) | (((aux[2] >> 0) & kmask1) << 4));
+        scales128 = __lsx_vsub_b(scales128, m32);
+        const __m256i all_scales = lasx_ext8_16(scales128);
+        const __m128i l_scales = lasx_extracti128(all_scales, 0);
+        const __m128i h_scales = lasx_extracti128(all_scales, 1);
+        const __m256i scales[2] = {lasx_insertf128(l_scales, l_scales), lasx_insertf128(h_scales, h_scales)};
+
+        // high bit
+        const __m256i hbits = __lasx_xvld((const __m256i*)x[i].hmask, 0);
+
+        // integer accumulator
+        __m256i sumi = __lasx_xvldi(0);
+
+        int bit = 0;
+        int is  = 0;
+        __m256i xvbit;
+
+
+        for (int j = 0; j < QK_K/128; ++j) {
+            // load low 2 bits
+            const __m256i q3bits = __lasx_xvld((const __m256i*)q3, 0); q3 += 32;
+
+            xvbit = __lasx_xvreplgr2vr_h(bit);
+            // prepare low and high bits
+            const __m256i q3l_0 = __lasx_xvand_v(q3bits, m3);
+            const __m256i q3h_0 = __lasx_xvslli_h(__lasx_xvsrl_h(__lasx_xvandn_v(hbits, __lasx_xvsll_h(mone, xvbit)), xvbit), 2);
+            ++bit;
+
+            xvbit = __lasx_xvreplgr2vr_h(bit);
+            const __m256i q3l_1 = __lasx_xvand_v(__lasx_xvsrli_h(q3bits, 2), m3);
+            const __m256i q3h_1 = __lasx_xvslli_h(__lasx_xvsrl_h(__lasx_xvandn_v(hbits, __lasx_xvsll_h(mone, xvbit)), xvbit), 2);
+            ++bit;
+
+            xvbit = __lasx_xvreplgr2vr_h(bit);
+            const __m256i q3l_2 = __lasx_xvand_v(__lasx_xvsrli_h(q3bits, 4), m3);
+            const __m256i q3h_2 = __lasx_xvslli_h(__lasx_xvsrl_h(__lasx_xvandn_v(hbits, __lasx_xvsll_h(mone, xvbit)), xvbit), 2);
+            ++bit;
+
+            xvbit = __lasx_xvreplgr2vr_h(bit);
+            const __m256i q3l_3 = __lasx_xvand_v(__lasx_xvsrli_h(q3bits, 6), m3);
+            const __m256i q3h_3 = __lasx_xvslli_h(__lasx_xvsrl_h(__lasx_xvandn_v(hbits, __lasx_xvsll_h(mone, xvbit)), xvbit), 2);
+            ++bit;
+
+            // load Q8 quants
+            const __m256i q8_0 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            const __m256i q8_1 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            const __m256i q8_2 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            const __m256i q8_3 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+
+            // Dot product: we multiply the 2 low bits and 1 high bit part separately, so we can use lasx_maddubs_h,
+            // and then subtract. The high bit part has the 2 already subtracted (and so, it is zero if the high bit was not set,
+            // and 2 if the high bit was set)
+            __m256i q8s_0 = lasx_maddubs_h(q3h_0, q8_0);
+            __m256i q8s_1 = lasx_maddubs_h(q3h_1, q8_1);
+            __m256i q8s_2 = lasx_maddubs_h(q3h_2, q8_2);
+            __m256i q8s_3 = lasx_maddubs_h(q3h_3, q8_3);
+
+            __m256i p16_0 = lasx_maddubs_h(q3l_0, q8_0);
+            __m256i p16_1 = lasx_maddubs_h(q3l_1, q8_1);
+            __m256i p16_2 = lasx_maddubs_h(q3l_2, q8_2);
+            __m256i p16_3 = lasx_maddubs_h(q3l_3, q8_3);
+
+            p16_0 = __lasx_xvsub_h(p16_0, q8s_0);
+            p16_1 = __lasx_xvsub_h(p16_1, q8s_1);
+            p16_2 = __lasx_xvsub_h(p16_2, q8s_2);
+            p16_3 = __lasx_xvsub_h(p16_3, q8s_3);
+
+            // multiply with scales
+            p16_0 = lasx_madd_h(lasx_shuffle_b(scales[j], get_scale_shuffle_q3k(is + 0)), p16_0);
+            p16_1 = lasx_madd_h(lasx_shuffle_b(scales[j], get_scale_shuffle_q3k(is + 1)), p16_1);
+            p16_2 = lasx_madd_h(lasx_shuffle_b(scales[j], get_scale_shuffle_q3k(is + 2)), p16_2);
+            p16_3 = lasx_madd_h(lasx_shuffle_b(scales[j], get_scale_shuffle_q3k(is + 3)), p16_3);
+
+            // accumulate
+            p16_0 = __lasx_xvadd_w(p16_0, p16_1);
+            p16_2 = __lasx_xvadd_w(p16_2, p16_3);
+            sumi  = __lasx_xvadd_w(sumi, __lasx_xvadd_w(p16_0, p16_2));
+        }
+        // multiply with block scale and accumulate
+        acc = __lasx_xvfmadd_s(__lasx_xvreplfr2vr_s(d), __lasx_xvffint_s_w(sumi), acc);//FIXME
+    }
+
+    *s = hsum_float_8(acc);
+
 #else
     // scalar version
     // This function is written like this so the compiler can manage to vectorize most of it
@@ -5908,356 +6967,6 @@ void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 
 }
 
-#else
-
-void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
-    assert(n % QK_K == 0);
-    assert(nrc == 1);
-    UNUSED(nrc);
-    UNUSED(bx);
-    UNUSED(by);
-    UNUSED(bs);
-
-    const block_q3_K * restrict x = vx;
-    const block_q8_K * restrict y = vy;
-
-    const int nb = n / QK_K;
-
-#ifdef __ARM_NEON
-    const int32x4_t vzero = vdupq_n_s32(0);
-
-    const uint8x16_t m3b = vdupq_n_u8(0x3);
-    const uint8x16_t mh  = vdupq_n_u8(4);
-
-    ggml_int8x16x4_t q3bytes;
-
-    uint16_t aux16[2];
-    int8_t * scales = (int8_t *)aux16;
-
-    float sum = 0;
-
-    for (int i = 0; i < nb; ++i) {
-
-        ggml_uint8x16x4_t q3h;
-
-        const uint8x8_t  hbits    = vld1_u8(x[i].hmask);
-        const uint8x16_t q3bits   = vld1q_u8(x[i].qs);
-        const ggml_int8x16x4_t q8bytes = ggml_vld1q_s8_x4(y[i].qs);
-
-        const uint16_t a = *(const uint16_t *)x[i].scales;
-        aux16[0] = a & 0x0f0f;
-        aux16[1] = (a >> 4) & 0x0f0f;
-
-        for (int j = 0; j < 4; ++j) scales[j] -= 8;
-
-        int32_t isum = -4*(scales[0] * y[i].bsums[0] + scales[2] * y[i].bsums[1] + scales[1] * y[i].bsums[2] + scales[3] * y[i].bsums[3]);
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-
-        const uint8x16_t htmp = vcombine_u8(hbits, vshr_n_u8(hbits, 1));
-        q3h.val[0] = vandq_u8(mh, vshlq_n_u8(htmp, 2));
-        q3h.val[1] = vandq_u8(mh, htmp);
-        q3h.val[2] = vandq_u8(mh, vshrq_n_u8(htmp, 2));
-        q3h.val[3] = vandq_u8(mh, vshrq_n_u8(htmp, 4));
-
-        q3bytes.val[0] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q3bits, m3b),                q3h.val[0]));
-        q3bytes.val[1] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(vshrq_n_u8(q3bits, 2), m3b), q3h.val[1]));
-        q3bytes.val[2] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(vshrq_n_u8(q3bits, 4), m3b), q3h.val[2]));
-        q3bytes.val[3] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q3bits, 6),                q3h.val[3]));
-
-        isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[0], q8bytes.val[0])) * scales[0];
-        isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[1], q8bytes.val[1])) * scales[2];
-        isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[2], q8bytes.val[2])) * scales[1];
-        isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[3], q8bytes.val[3])) * scales[3];
-
-        sum += d * isum;
-
-    }
-
-    *s = sum;
-
-#elif defined __AVX2__
-
-    const __m256i m3 = _mm256_set1_epi8(3);
-    const __m256i m1 = _mm256_set1_epi8(1);
-
-    __m256 acc = _mm256_setzero_ps();
-
-    uint64_t aux64;
-
-    uint16_t aux16[2];
-    const int8_t * aux8 = (const int8_t *)aux16;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-
-        const uint8_t * restrict q3 = x[i].qs;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const uint16_t a = *(const uint16_t *)x[i].scales;
-        aux16[0] = a & 0x0f0f;
-        aux16[1] = (a >> 4) & 0x0f0f;
-
-        const __m256i scale_0 = MM256_SET_M128I(_mm_set1_epi16(aux8[2] - 8), _mm_set1_epi16(aux8[0] - 8));
-        const __m256i scale_1 = MM256_SET_M128I(_mm_set1_epi16(aux8[3] - 8), _mm_set1_epi16(aux8[1] - 8));
-
-        memcpy(&aux64, x[i].hmask, 8);
-
-        const __m128i haux = _mm_set_epi64x(aux64 >> 1, aux64 >> 0);
-        __m256i q3h_0 = MM256_SET_M128I(_mm_srli_epi16(haux, 2), haux);
-        __m256i q3h_1 = _mm256_srli_epi16(q3h_0, 4);
-        q3h_0 = _mm256_slli_epi16(_mm256_andnot_si256(q3h_0, m1), 2);
-        q3h_1 = _mm256_slli_epi16(_mm256_andnot_si256(q3h_1, m1), 2);
-
-        // load low 2 bits
-        const __m128i q3bits = _mm_loadu_si128((const __m128i*)q3);
-
-        // prepare low and high bits
-        const __m256i q3aux  = MM256_SET_M128I(_mm_srli_epi16(q3bits, 2), q3bits);
-        const __m256i q3l_0 = _mm256_and_si256(q3aux, m3);
-        const __m256i q3l_1 = _mm256_and_si256(_mm256_srli_epi16(q3aux, 4), m3);
-
-        // load Q8 quants
-        const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
-        const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
-
-        // Dot product: we multiply the 2 low bits and 1 high bit part separately, so we can use _mm256_maddubs_epi16,
-        // and then subtract. The high bit part has the 2 already subtracted (and so, it is zero if the high bit was not set,
-        // and 2 if the high bit was set)
-        const __m256i q8s_0 = _mm256_maddubs_epi16(q3h_0, q8_0);
-        const __m256i q8s_1 = _mm256_maddubs_epi16(q3h_1, q8_1);
-
-        __m256i p16_0 = _mm256_maddubs_epi16(q3l_0, q8_0);
-        __m256i p16_1 = _mm256_maddubs_epi16(q3l_1, q8_1);
-
-        p16_0 = _mm256_sub_epi16(p16_0, q8s_0);
-        p16_1 = _mm256_sub_epi16(p16_1, q8s_1);
-
-        // multiply with scales
-        p16_0 = _mm256_madd_epi16(scale_0, p16_0);
-        p16_1 = _mm256_madd_epi16(scale_1, p16_1);
-
-        p16_0 = _mm256_add_epi32(p16_0, p16_1);
-
-        // multiply with block scale and accumulate
-        acc = _mm256_fmadd_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(p16_0), acc);
-
-    }
-
-    *s = hsum_float_8(acc);
-
-#elif defined __AVX__
-
-    const __m128i m3 = _mm_set1_epi8(3);
-    const __m128i m1 = _mm_set1_epi8(1);
-
-    __m256 acc = _mm256_setzero_ps();
-
-    uint64_t aux64;
-
-    uint16_t aux16[2];
-    const int8_t * aux8 = (const int8_t *)aux16;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-
-        const uint8_t * restrict q3 = x[i].qs;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const uint16_t a = *(const uint16_t *)x[i].scales;
-        aux16[0] = a & 0x0f0f;
-        aux16[1] = (a >> 4) & 0x0f0f;
-
-        const __m128i scale_0 = _mm_set1_epi16(aux8[0] - 8);
-        const __m128i scale_1 = _mm_set1_epi16(aux8[2] - 8);
-        const __m128i scale_2 = _mm_set1_epi16(aux8[1] - 8);
-        const __m128i scale_3 = _mm_set1_epi16(aux8[3] - 8);
-
-        memcpy(&aux64, x[i].hmask, 8);
-
-        __m128i q3h_0 = _mm_set_epi64x(aux64 >> 1, aux64 >> 0);
-        __m128i q3h_1 = _mm_srli_epi16(q3h_0, 2);
-        __m128i q3h_2 = _mm_srli_epi16(q3h_0, 4);
-        __m128i q3h_3 = _mm_srli_epi16(q3h_0, 6);
-        q3h_0 = _mm_slli_epi16(_mm_andnot_si128(q3h_0, m1), 2);
-        q3h_1 = _mm_slli_epi16(_mm_andnot_si128(q3h_1, m1), 2);
-        q3h_2 = _mm_slli_epi16(_mm_andnot_si128(q3h_2, m1), 2);
-        q3h_3 = _mm_slli_epi16(_mm_andnot_si128(q3h_3, m1), 2);
-
-        // load low 2 bits
-        const __m128i q3bits = _mm_loadu_si128((const __m128i*)q3);
-
-        // prepare low and high bits
-        const __m128i q3l_0 = _mm_and_si128(q3bits, m3);
-        const __m128i q3l_1 = _mm_and_si128(_mm_srli_epi16(q3bits, 2), m3);
-        const __m128i q3l_2 = _mm_and_si128(_mm_srli_epi16(q3bits, 4), m3);
-        const __m128i q3l_3 = _mm_and_si128(_mm_srli_epi16(q3bits, 6), m3);
-
-        // load Q8 quants
-        const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
-        const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
-
-        // Dot product: we multiply the 2 low bits and 1 high bit part separately, so we can use _mm_maddubs_epi16,
-        // and then subtract. The high bit part has the 2 already subtracted (and so, it is zero if the high bit was not set,
-        // and 2 if the high bit was set)
-        const __m128i q8s_0 = _mm_maddubs_epi16(q3h_0, _mm256_extractf128_si256(q8_0, 0));
-        const __m128i q8s_1 = _mm_maddubs_epi16(q3h_1, _mm256_extractf128_si256(q8_0, 1));
-        const __m128i q8s_2 = _mm_maddubs_epi16(q3h_2, _mm256_extractf128_si256(q8_1, 0));
-        const __m128i q8s_3 = _mm_maddubs_epi16(q3h_3, _mm256_extractf128_si256(q8_1, 1));
-
-        __m128i p16_0 = _mm_maddubs_epi16(q3l_0, _mm256_extractf128_si256(q8_0, 0));
-        __m128i p16_1 = _mm_maddubs_epi16(q3l_1, _mm256_extractf128_si256(q8_0, 1));
-        __m128i p16_2 = _mm_maddubs_epi16(q3l_2, _mm256_extractf128_si256(q8_1, 0));
-        __m128i p16_3 = _mm_maddubs_epi16(q3l_3, _mm256_extractf128_si256(q8_1, 1));
-
-        p16_0 = _mm_sub_epi16(p16_0, q8s_0);
-        p16_1 = _mm_sub_epi16(p16_1, q8s_1);
-        p16_2 = _mm_sub_epi16(p16_2, q8s_2);
-        p16_3 = _mm_sub_epi16(p16_3, q8s_3);
-
-        // multiply with scales
-        p16_0 = _mm_madd_epi16(scale_0, p16_0);
-        p16_1 = _mm_madd_epi16(scale_1, p16_1);
-        p16_2 = _mm_madd_epi16(scale_2, p16_2);
-        p16_3 = _mm_madd_epi16(scale_3, p16_3);
-
-        p16_0 = _mm_add_epi32(p16_0, p16_2);
-        p16_1 = _mm_add_epi32(p16_1, p16_3);
-        __m256i p16 = MM256_SET_M128I(p16_1, p16_0);
-
-        // multiply with block scale and accumulate
-        acc = _mm256_add_ps(_mm256_mul_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(p16)), acc);
-
-    }
-
-    *s = hsum_float_8(acc);
-
-#elif defined __riscv_v_intrinsic
-
-    uint16_t aux16[2];
-    int8_t * scales = (int8_t *)aux16;
-
-    float sumf = 0;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const uint8_t * restrict q3 = x[i].qs;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const uint16_t a = *(const uint16_t *)x[i].scales;
-        aux16[0] = a & 0x0f0f;
-        aux16[1] = (a >> 4) & 0x0f0f;
-
-        for (int j = 0; j < 4; ++j) scales[j] -= 8;
-
-        int32_t isum = -4*(scales[0] * y[i].bsums[0] + scales[2] * y[i].bsums[1] + scales[1] * y[i].bsums[2] + scales[3] * y[i].bsums[3]);
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-
-        vint32m1_t vzero = __riscv_vmv_v_x_i32m1(0, 1);
-
-        // load qh
-        vuint8mf4_t qh_x1   = __riscv_vle8_v_u8mf4(x[i].hmask, 8);
-        vuint8mf2_t qh_x2   = __riscv_vlmul_ext_v_u8mf4_u8mf2(__riscv_vsrl_vx_u8mf4(qh_x1, 1, 8));
-
-        size_t vl = 16;
-
-        // extend and combine both qh_x1 and qh_x2
-        vuint8mf2_t qh_x = __riscv_vslideup_vx_u8mf2(__riscv_vlmul_ext_v_u8mf4_u8mf2(qh_x1), qh_x2, vl/2, vl);
-
-        vuint8mf2_t qh_0 = __riscv_vand_vx_u8mf2(__riscv_vsll_vx_u8mf2(qh_x, 0x2, vl), 0x4, vl);
-        vuint8mf2_t qh_1 = __riscv_vand_vx_u8mf2(qh_x, 0x4, vl);
-        vuint8mf2_t qh_2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(qh_x, 0x2, vl), 0x4, vl);
-        vuint8mf2_t qh_3 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(qh_x, 0x4, vl), 0x4, vl);
-
-        // load Q3
-        vuint8mf2_t q3_x  = __riscv_vle8_v_u8mf2(q3, vl);
-
-        vuint8mf2_t q3h_0 = __riscv_vor_vv_u8mf2(__riscv_vand_vx_u8mf2(q3_x, 0x3, vl), qh_0, vl);
-        vuint8mf2_t q3h_1 = __riscv_vor_vv_u8mf2(__riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(q3_x, 2, vl), 0x3, vl), qh_1, vl);
-        vuint8mf2_t q3h_2 = __riscv_vor_vv_u8mf2(__riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(q3_x, 4, vl), 0x3, vl), qh_2, vl);
-        vuint8mf2_t q3h_3 = __riscv_vor_vv_u8mf2(__riscv_vsrl_vx_u8mf2(q3_x, 0x6, vl), qh_3, vl);
-
-        vint8mf2_t q3_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(q3h_0);
-        vint8mf2_t q3_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(q3h_1);
-        vint8mf2_t q3_2 = __riscv_vreinterpret_v_u8mf2_i8mf2(q3h_2);
-        vint8mf2_t q3_3 = __riscv_vreinterpret_v_u8mf2_i8mf2(q3h_3);
-
-        // load Q8 and take product with Q3
-        vint16m1_t p0 = __riscv_vwmul_vv_i16m1(q3_0, __riscv_vle8_v_i8mf2(q8, vl), vl);
-        vint16m1_t p1 = __riscv_vwmul_vv_i16m1(q3_1, __riscv_vle8_v_i8mf2(q8+16, vl), vl);
-        vint16m1_t p2 = __riscv_vwmul_vv_i16m1(q3_2, __riscv_vle8_v_i8mf2(q8+32, vl), vl);
-        vint16m1_t p3 = __riscv_vwmul_vv_i16m1(q3_3, __riscv_vle8_v_i8mf2(q8+48, vl), vl);
-
-        vint32m1_t vs_0 = __riscv_vwredsum_vs_i16m1_i32m1(p0, vzero, vl);
-        vint32m1_t vs_1 = __riscv_vwredsum_vs_i16m1_i32m1(p1, vzero, vl);
-        vint32m1_t vs_2 = __riscv_vwredsum_vs_i16m1_i32m1(p2, vzero, vl);
-        vint32m1_t vs_3 = __riscv_vwredsum_vs_i16m1_i32m1(p3, vzero, vl);
-
-        isum += __riscv_vmv_x_s_i32m1_i32(vs_0) * scales[0];
-        isum += __riscv_vmv_x_s_i32m1_i32(vs_1) * scales[2];
-        isum += __riscv_vmv_x_s_i32m1_i32(vs_2) * scales[1];
-        isum += __riscv_vmv_x_s_i32m1_i32(vs_3) * scales[3];
-
-        sumf += d * isum;
-
-    }
-
-    *s = sumf;
-
-#else
-
-    int8_t  aux8[QK_K];
-    int16_t aux16[8];
-    float   sums [8];
-    int32_t aux32[8];
-    int32_t scales[4];
-    memset(sums, 0, 8*sizeof(float));
-
-    float sumf = 0;
-    for (int i = 0; i < nb; ++i) {
-        const uint8_t * restrict q3 = x[i].qs;
-        const uint8_t * restrict hm = x[i].hmask;
-        const  int8_t * restrict q8 = y[i].qs;
-        int8_t * restrict a = aux8;
-        for (int l = 0; l < 8; ++l) {
-            a[l+ 0] = (int8_t)((q3[l+0] >> 0) & 3) - (hm[l] & 0x01 ? 0 : 4);
-            a[l+ 8] = (int8_t)((q3[l+8] >> 0) & 3) - (hm[l] & 0x02 ? 0 : 4);
-            a[l+16] = (int8_t)((q3[l+0] >> 2) & 3) - (hm[l] & 0x04 ? 0 : 4);
-            a[l+24] = (int8_t)((q3[l+8] >> 2) & 3) - (hm[l] & 0x08 ? 0 : 4);
-            a[l+32] = (int8_t)((q3[l+0] >> 4) & 3) - (hm[l] & 0x10 ? 0 : 4);
-            a[l+40] = (int8_t)((q3[l+8] >> 4) & 3) - (hm[l] & 0x20 ? 0 : 4);
-            a[l+48] = (int8_t)((q3[l+0] >> 6) & 3) - (hm[l] & 0x40 ? 0 : 4);
-            a[l+56] = (int8_t)((q3[l+8] >> 6) & 3) - (hm[l] & 0x80 ? 0 : 4);
-        }
-
-        scales[0] = (x[i].scales[0] & 0xF) - 8;
-        scales[1] = (x[i].scales[0] >>  4) - 8;
-        scales[2] = (x[i].scales[1] & 0xF) - 8;
-        scales[3] = (x[i].scales[1] >>  4) - 8;
-
-        memset(aux32, 0, 8*sizeof(int32_t));
-        for (int j = 0; j < QK_K/16; ++j) {
-            for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
-            q8 += 8; a += 8;
-            for (int l = 0; l < 8; ++l) aux16[l] += q8[l] * a[l];
-            q8 += 8; a += 8;
-            for (int l = 0; l < 8; ++l) aux32[l] += scales[j] * aux16[l];
-        }
-        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
-        for (int l = 0; l < 8; ++l) sums[l] += d * aux32[l];
-    }
-    for (int l = 0; l < 8; ++l) sumf += sums[l];
-    *s = sumf;
-
-#endif
-
-}
-#endif
-
-#if QK_K == 256
 void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
@@ -6559,8 +7268,214 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 
     *s = sumf;
 
-#else
+#elif defined(__POWER9_VECTOR__)
+    const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector unsigned char v4 = vec_splats((unsigned char)0x4);
 
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+    vector float vsumf2 = vec_splats(0.0f);
+    vector float vsumf3 = vec_splats(0.0f);
+
+    for (int i = 0; i < nb; ++i) {
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(y[i].d);
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector float vxmin = vec_splats(GGML_FP16_TO_FP32(x[i].dmin));
+        vector float vdmin = vec_mul(vxmin, vyd);
+
+        vector signed short q8ysums0 = vec_xl( 0, y[i].bsums);
+        vector signed short q8ysums1 = vec_xl(16, y[i].bsums);
+
+        memcpy(utmp, x[i].scales, 12);
+
+        utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
+        const uint32_t uaux = utmp[1] & kmask1;
+        utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
+        utmp[2] = uaux;
+        utmp[0] &= kmask1;
+
+        vector signed char utmps = (vector signed char)vec_xl( 0, utmp);
+        vector signed short vscales = vec_unpackh(utmps);
+        vector signed short q4xmins = vec_unpackl(utmps);
+        vector signed short q4xmins0 = vec_mergeh(q4xmins, q4xmins);
+        vector signed short q4xmins1 = vec_mergel(q4xmins, q4xmins);
+
+        vector signed int prod0 = vec_mule(q4xmins0, q8ysums0);
+        vector signed int prod1 = vec_mule(q4xmins1, q8ysums1);
+        vector signed int prod2 = vec_mulo(q4xmins0, q8ysums0);
+        vector signed int prod3 = vec_mulo(q4xmins1, q8ysums1);
+
+        vsumf0 = vec_nmsub(vec_ctf(prod0, 0), vdmin, vsumf0);
+        vsumf1 = vec_nmsub(vec_ctf(prod1, 0), vdmin, vsumf1);
+        vsumf2 = vec_nmsub(vec_ctf(prod2, 0), vdmin, vsumf2);
+        vsumf3 = vec_nmsub(vec_ctf(prod3, 0), vdmin, vsumf3);
+
+        vector signed int vsumi0 = vec_splats((int32_t)0);
+        vector signed int vsumi1 = vec_splats((int32_t)0);
+        vector signed int vsumi2 = vec_splats((int32_t)0);
+        vector signed int vsumi3 = vec_splats((int32_t)0);
+        vector signed int vsumi4 = vec_splats((int32_t)0);
+        vector signed int vsumi5 = vec_splats((int32_t)0);
+        vector signed int vsumi6 = vec_splats((int32_t)0);
+        vector signed int vsumi7 = vec_splats((int32_t)0);
+
+        const uint8_t * restrict q4 = x[i].qs;
+        const int8_t  * restrict q8 = y[i].qs;
+
+        for (int j = 0; j < QK_K/64; j+=2) {
+            __builtin_prefetch(q4, 0, 1);
+            __builtin_prefetch(q8, 0, 1);
+
+            vector signed char qxs0 = (vector signed char)vec_xl( 0, q4);
+            vector signed char qxs1 = (vector signed char)vec_xl(16, q4);
+            vector signed char qxs2 = (vector signed char)vec_xl(32, q4);
+            vector signed char qxs3 = (vector signed char)vec_xl(48, q4);
+            q4 += 64;
+
+            vector signed char q4x00 = vec_and(qxs0, lowMask);
+            vector signed char q4x01 = vec_sr(qxs0, v4);
+            vector signed char q4x10 = vec_and(qxs1, lowMask);
+            vector signed char q4x11 = vec_sr(qxs1, v4);
+            vector signed char q4x20 = vec_and(qxs2, lowMask);
+            vector signed char q4x21 = vec_sr(qxs2, v4);
+            vector signed char q4x30 = vec_and(qxs3, lowMask);
+            vector signed char q4x31 = vec_sr(qxs3, v4);
+
+            vector signed char q8y00 = vec_xl(  0, q8);
+            vector signed char q8y10 = vec_xl( 16, q8);
+            vector signed char q8y01 = vec_xl( 32, q8);
+            vector signed char q8y11 = vec_xl( 48, q8);
+            vector signed char q8y20 = vec_xl( 64, q8);
+            vector signed char q8y30 = vec_xl( 80, q8);
+            vector signed char q8y21 = vec_xl( 96, q8);
+            vector signed char q8y31 = vec_xl(112, q8);
+            q8 += 128;
+
+            vector signed short qv00 = vec_add(vec_mule(q4x00, q8y00), vec_mulo(q4x00, q8y00));
+            vector signed short qv01 = vec_add(vec_mule(q4x01, q8y01), vec_mulo(q4x01, q8y01));
+            vector signed short qv10 = vec_add(vec_mule(q4x10, q8y10), vec_mulo(q4x10, q8y10));
+            vector signed short qv11 = vec_add(vec_mule(q4x11, q8y11), vec_mulo(q4x11, q8y11));
+            vector signed short qv20 = vec_add(vec_mule(q4x20, q8y20), vec_mulo(q4x20, q8y20));
+            vector signed short qv21 = vec_add(vec_mule(q4x21, q8y21), vec_mulo(q4x21, q8y21));
+            vector signed short qv30 = vec_add(vec_mule(q4x30, q8y30), vec_mulo(q4x30, q8y30));
+            vector signed short qv31 = vec_add(vec_mule(q4x31, q8y31), vec_mulo(q4x31, q8y31));
+
+            vector signed short vs0 = vec_splat(vscales, 0);
+            vector signed short vs1 = vec_splat(vscales, 1);
+            vector signed short vs2 = vec_splat(vscales, 2);
+            vector signed short vs3 = vec_splat(vscales, 3);
+            vscales = vec_sld(vscales, vscales, 8);
+
+            qv00 = vec_add(qv00, qv10);
+            qv10 = vec_add(qv01, qv11);
+            qv20 = vec_add(qv20, qv30);
+            qv30 = vec_add(qv21, qv31);
+
+            vsumi0 = vec_add(vec_mule(qv00, vs0), vsumi0);
+            vsumi1 = vec_add(vec_mulo(qv00, vs0), vsumi1);
+            vsumi2 = vec_add(vec_mule(qv10, vs1), vsumi2);
+            vsumi3 = vec_add(vec_mulo(qv10, vs1), vsumi3);
+            vsumi4 = vec_add(vec_mule(qv20, vs2), vsumi4);
+            vsumi5 = vec_add(vec_mulo(qv20, vs2), vsumi5);
+            vsumi6 = vec_add(vec_mule(qv30, vs3), vsumi6);
+            vsumi7 = vec_add(vec_mulo(qv30, vs3), vsumi7);
+        }
+
+        vsumi0 = vec_add(vsumi0, vsumi4);
+        vsumi1 = vec_add(vsumi1, vsumi5);
+        vsumi2 = vec_add(vsumi2, vsumi6);
+        vsumi3 = vec_add(vsumi3, vsumi7);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+        vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
+        vsumf3 = vec_madd(vec_ctf(vsumi3, 0), vd, vsumf3);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf2);
+    vsumf1 = vec_add(vsumf1, vsumf3);
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined __loongarch_asx
+    GGML_UNUSED(kmask1);
+    GGML_UNUSED(kmask2);
+    GGML_UNUSED(kmask3);
+
+    const __m256i m4 = __lasx_xvreplgr2vr_b(0xF);
+
+    __m256 acc = (__m256)__lasx_xvldi(0);
+    __m128 acc_m = (__m128)__lsx_vldi(0);
+
+   for (int i = 0; i < nb; ++i) {
+
+        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
+        const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
+
+        memcpy(utmp, x[i].scales, 12);
+        utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
+        const uint32_t uaux = utmp[1] & kmask1;
+        utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
+        utmp[2] = uaux;
+        utmp[0] &= kmask1;
+
+        const uint8_t * restrict q4 = x[i].qs;
+        const int8_t  * restrict q8 = y[i].qs;
+
+        const __m256i mins_and_scales = lasx_extu8_16(lsx_set_w(utmp[3], utmp[2], utmp[1], utmp[0]));
+
+        const __m256i q8sums = __lasx_xvld((const __m256i*)y[i].bsums, 0);
+        const __m128i q8s = lsx_hadd_h(lasx_extracti128(q8sums, 0), lasx_extracti128(q8sums, 1));
+        const __m128i prod = lsx_madd_h(lasx_extracti128(mins_and_scales, 1), q8s);
+        acc_m = __lsx_vfmadd_s(__lsx_vreplfr2vr_s(dmin), __lsx_vffint_s_w(prod), acc_m);
+
+        const __m128i sc128  = lasx_extracti128(mins_and_scales, 0);
+        const __m256i scales = lasx_insertf128(sc128, sc128);
+
+        __m256i sumi = __lasx_xvldi(0);
+
+        for (int j = 0; j < QK_K/64; ++j) {
+
+            const __m256i scale_l = lasx_shuffle_b(scales, get_scale_shuffle_k4(2*j+0));
+            const __m256i scale_h = lasx_shuffle_b(scales, get_scale_shuffle_k4(2*j+1));
+
+            const __m256i q4bits = __lasx_xvld((const __m256i*)q4, 0); q4 += 32;
+            const __m256i q4l = __lasx_xvand_v(q4bits, m4);
+            const __m256i q4h = __lasx_xvand_v(__lasx_xvsrli_h(q4bits, 4), m4);
+
+            const __m256i q8l = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            __m256i p16l = lasx_maddubs_h(q4l, q8l);
+            p16l = lasx_madd_h(scale_l, p16l);
+
+            const __m256i q8h = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            __m256i p16h = lasx_maddubs_h(q4h, q8h);
+            p16h = lasx_madd_h(scale_h, p16h);
+            const __m256i sumj = __lasx_xvadd_w(p16l, p16h);
+
+            sumi = __lasx_xvadd_w(sumi, sumj);
+        }
+
+        __m256 vd = __lasx_xvreplfr2vr_s(d);
+        acc = __lasx_xvfmadd_s(vd, __lasx_xvffint_s_w(sumi), acc);
+
+    }
+
+    acc_m = __lsx_vfadd_s(acc_m, (__m128)__lsx_vpermi_w((__m128i)acc_m, (__m128i)acc_m, 0xee));
+    __m128i tmp1 = __lsx_vinsgr2vr_w(__lsx_vldi(0), __lsx_vpickve2gr_w((__m128i)acc_m, 1), 0);
+    acc_m = __lsx_vfadd_s(acc_m, (__m128)tmp1);
+
+
+    ft_union fi;
+    fi.i = __lsx_vpickve2gr_w(acc_m, 0);
+    *s = hsum_float_8(acc) + fi.f ;
+#else
 
     const uint8_t * scales = (const uint8_t*)&utmp[0];
     const uint8_t * mins   = (const uint8_t*)&utmp[2];
@@ -6618,255 +7533,7 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * r
     *s = sumf;
 #endif
 }
-#else
-void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
-    assert(n % QK_K == 0);
-    assert(nrc == 1);
-    UNUSED(nrc);
-    UNUSED(bx);
-    UNUSED(by);
-    UNUSED(bs);
 
-    const block_q4_K * restrict x = vx;
-    const block_q8_K * restrict y = vy;
-
-    const int nb = n / QK_K;
-
-#ifdef __ARM_NEON
-    const uint8x16_t m4b = vdupq_n_u8(0xf);
-
-    const int32x4_t mzero = vdupq_n_s32(0);
-
-    float sumf = 0;
-
-    ggml_int8x16x2_t q4bytes;
-    ggml_int8x16x4_t q8bytes;
-
-    float sum_mins = 0.f;
-
-    uint16_t aux16[2];
-    const uint8_t * restrict scales = (const uint8_t *)aux16;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const uint8_t * restrict q4 = x[i].qs;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const uint16_t * restrict a = (const uint16_t *)x[i].scales;
-        aux16[0] = a[0] & 0x0f0f;
-        aux16[1] = (a[0] >> 4) & 0x0f0f;
-
-        const int32_t summi = scales[2] * (y[i].bsums[0] + y[i].bsums[1]) + scales[3] * (y[i].bsums[2] + y[i].bsums[3]);
-        sum_mins += y[i].d * GGML_FP16_TO_FP32(x[i].d[1]) * summi;
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d[0]);
-
-        const ggml_uint8x16x2_t q4bits = ggml_vld1q_u8_x2(q4);
-
-        q8bytes = ggml_vld1q_s8_x4(q8);
-        q4bytes.val[0] = vreinterpretq_s8_u8(vandq_u8  (q4bits.val[0], m4b));
-        q4bytes.val[1] = vreinterpretq_s8_u8(vandq_u8  (q4bits.val[1], m4b));
-
-        const int32x4_t p1 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, q4bytes.val[0], q8bytes.val[0]), q4bytes.val[1], q8bytes.val[1]);
-        const int32_t sumi1 = vaddvq_s32(p1) * scales[0];
-
-        q4bytes.val[0] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits.val[0], 4));
-        q4bytes.val[1] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits.val[1], 4));
-
-        const int32x4_t p2 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, q4bytes.val[0], q8bytes.val[2]), q4bytes.val[1], q8bytes.val[3]);
-        const int32_t sumi2 = vaddvq_s32(p2) * scales[1];
-
-        sumf += d * (sumi1 + sumi2);
-    }
-
-    *s = sumf - sum_mins;
-
-#elif defined __AVX2__
-
-    const __m256i m4 = _mm256_set1_epi8(0xF);
-
-    __m256 acc = _mm256_setzero_ps();
-
-    float summs = 0;
-
-    uint16_t aux16[2];
-    const uint8_t * scales = (const uint8_t *)aux16;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d = GGML_FP16_TO_FP32(x[i].d[0]) * y[i].d;
-        const float m = GGML_FP16_TO_FP32(x[i].d[1]) * y[i].d;
-        const __m256 vd = _mm256_set1_ps(d);
-
-        const uint16_t * a = (const uint16_t *)x[i].scales;
-        aux16[0] = a[0] & 0x0f0f;
-        aux16[1] = (a[0] >> 4) & 0x0f0f;
-
-        summs += m * (scales[2] * (y[i].bsums[0] + y[i].bsums[1]) + scales[3] * (y[i].bsums[2] + y[i].bsums[3]));
-
-        const uint8_t * restrict q4 = x[i].qs;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const __m256i q4bits = _mm256_loadu_si256((const __m256i*)q4);
-        const __m256i q4l = _mm256_and_si256(q4bits, m4);
-        const __m256i q4h = _mm256_and_si256(_mm256_srli_epi16(q4bits, 4), m4);
-
-        const __m256i q8l = _mm256_loadu_si256((const __m256i*)(q8+ 0));
-        const __m256i q8h = _mm256_loadu_si256((const __m256i*)(q8+32));
-
-        const __m256i p16l = _mm256_maddubs_epi16(q4l, q8l);
-        const __m256i p16h = _mm256_maddubs_epi16(q4h, q8h);
-
-        const __m256i p32l = _mm256_madd_epi16(_mm256_set1_epi16(scales[0]), p16l);
-        acc = _mm256_fmadd_ps(vd, _mm256_cvtepi32_ps(p32l), acc);
-
-        const __m256i p32h = _mm256_madd_epi16(_mm256_set1_epi16(scales[1]), p16h);
-        acc = _mm256_fmadd_ps(vd, _mm256_cvtepi32_ps(p32h), acc);
-
-    }
-
-    *s = hsum_float_8(acc) - summs;
-
-#elif defined __AVX__
-
-    const __m128i m4 = _mm_set1_epi8(0xF);
-
-    __m256 acc = _mm256_setzero_ps();
-
-    float summs = 0;
-
-    uint16_t aux16[2];
-    const uint8_t * scales = (const uint8_t *)aux16;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d = GGML_FP16_TO_FP32(x[i].d[0]) * y[i].d;
-        const float m = GGML_FP16_TO_FP32(x[i].d[1]) * y[i].d;
-        const __m256 vd = _mm256_set1_ps(d);
-
-        const uint16_t * a = (const uint16_t *)x[i].scales;
-        aux16[0] = a[0] & 0x0f0f;
-        aux16[1] = (a[0] >> 4) & 0x0f0f;
-
-        summs += m * (scales[2] * (y[i].bsums[0] + y[i].bsums[1]) + scales[3] * (y[i].bsums[2] + y[i].bsums[3]));
-
-        const uint8_t * restrict q4 = x[i].qs;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const __m256i q4bits = _mm256_loadu_si256((const __m256i*)q4);
-        const __m128i q4bits_0 = _mm256_extractf128_si256(q4bits, 0);
-        const __m128i q4bits_1 = _mm256_extractf128_si256(q4bits, 1);
-        const __m128i q4_0 = _mm_and_si128(q4bits_0, m4);
-        const __m128i q4_1 = _mm_and_si128(q4bits_1, m4);
-        const __m128i q4_2 = _mm_and_si128(_mm_srli_epi16(q4bits_0, 4), m4);
-        const __m128i q4_3 = _mm_and_si128(_mm_srli_epi16(q4bits_1, 4), m4);
-
-        const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
-        const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
-
-        const __m128i p16_0 = _mm_maddubs_epi16(q4_0, _mm256_extractf128_si256(q8_0, 0));
-        const __m128i p16_1 = _mm_maddubs_epi16(q4_1, _mm256_extractf128_si256(q8_0, 1));
-        const __m128i p16_2 = _mm_maddubs_epi16(q4_2, _mm256_extractf128_si256(q8_1, 0));
-        const __m128i p16_3 = _mm_maddubs_epi16(q4_3, _mm256_extractf128_si256(q8_1, 1));
-
-        const __m128i p32_0 = _mm_madd_epi16(_mm_set1_epi16(scales[0]), p16_0);
-        const __m128i p32_1 = _mm_madd_epi16(_mm_set1_epi16(scales[0]), p16_1);
-        acc = _mm256_add_ps(_mm256_mul_ps(vd, _mm256_cvtepi32_ps(MM256_SET_M128I(p32_1, p32_0))), acc);
-
-        const __m128i p32_2 = _mm_madd_epi16(_mm_set1_epi16(scales[1]), p16_2);
-        const __m128i p32_3 = _mm_madd_epi16(_mm_set1_epi16(scales[1]), p16_3);
-        acc = _mm256_add_ps(_mm256_mul_ps(vd, _mm256_cvtepi32_ps(MM256_SET_M128I(p32_3, p32_2))), acc);
-
-    }
-
-    *s = hsum_float_8(acc) - summs;
-
-#elif defined __riscv_v_intrinsic
-
-    uint16_t s16[2];
-    const uint8_t * restrict scales = (const uint8_t *)s16;
-
-    float sumf = 0;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const uint8_t * restrict q4 = x[i].qs;
-        const  int8_t * restrict q8 = y[i].qs;
-
-        const uint16_t * restrict b = (const uint16_t *)x[i].scales;
-        s16[0] = b[0] & 0x0f0f;
-        s16[1] = (b[0] >> 4) & 0x0f0f;
-
-        sumf -= y[i].d * GGML_FP16_TO_FP32(x[i].d[1]) * (scales[2] * (y[i].bsums[0] + y[i].bsums[1]) + scales[3] * (y[i].bsums[2] + y[i].bsums[3]));
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d[0]);
-
-        size_t vl = 32;
-
-        vint16m1_t vzero = __riscv_vmv_v_x_i16m1(0, 1);
-
-        // load Q4
-        vuint8m1_t q4_x = __riscv_vle8_v_u8m1(q4, vl);
-
-        // load Q8 and multiply it with lower Q4 nibble
-        vint8m1_t  q4_a = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vand_vx_u8m1(q4_x, 0x0F, vl));
-        vint16m2_t va_0 = __riscv_vwmul_vv_i16m2(q4_a, __riscv_vle8_v_i8m1(q8, vl), vl);
-        vint16m1_t aux1 = __riscv_vredsum_vs_i16m2_i16m1(va_0, vzero, vl);
-
-        sumf += d*scales[0]*__riscv_vmv_x_s_i16m1_i16(aux1);
-
-        // load Q8 and multiply it with upper Q4 nibble
-        vint8m1_t  q4_s = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vsrl_vx_u8m1(q4_x, 0x04, vl));
-        vint16m2_t va_1 = __riscv_vwmul_vv_i16m2(q4_s, __riscv_vle8_v_i8m1(q8+32, vl), vl);
-        vint16m1_t aux2 = __riscv_vredsum_vs_i16m2_i16m1(va_1, vzero, vl);
-
-        sumf += d*scales[1]*__riscv_vmv_x_s_i16m1_i16(aux2);
-
-    }
-
-    *s = sumf;
-
-#else
-
-    uint8_t aux8[QK_K];
-    int16_t aux16[16];
-    float   sums [8];
-    memset(sums, 0, 8*sizeof(float));
-
-    uint16_t s16[2];
-    const uint8_t * restrict scales = (const uint8_t *)s16;
-
-    float sumf = 0;
-    for (int i = 0; i < nb; ++i) {
-        const uint8_t * restrict q4 = x[i].qs;
-        const  int8_t * restrict q8 = y[i].qs;
-        uint8_t * restrict a = aux8;
-        for (int l = 0; l < 32; ++l) a[l+ 0] = q4[l] & 0xF;
-        for (int l = 0; l < 32; ++l) a[l+32] = q4[l]  >> 4;
-
-        const uint16_t * restrict b = (const uint16_t *)x[i].scales;
-        s16[0] = b[0] & 0x0f0f;
-        s16[1] = (b[0] >> 4) & 0x0f0f;
-
-        sumf -= y[i].d * GGML_FP16_TO_FP32(x[i].d[1]) * (scales[2] * (y[i].bsums[0] + y[i].bsums[1]) + scales[3] * (y[i].bsums[2] + y[i].bsums[3]));
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d[0]);
-
-        for (int j = 0; j < QK_K/32; ++j) {
-            for (int l = 0; l < 16; ++l) aux16[l] = q8[l] * a[l];
-            q8 += 16; a += 16;
-            for (int l = 0; l < 16; ++l) aux16[l] += q8[l] * a[l];
-            q8 += 16; a += 16;
-            const float dl = d * scales[j];
-            for (int l = 0; l < 8; ++l) sums[l] += dl * (aux16[l] + aux16[l+8]);
-        }
-    }
-    for (int l = 0; l < 8; ++l) sumf += sums[l];
-    *s = sumf;
-#endif
-}
-#endif
-
-#if QK_K == 256
 void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy,  size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
@@ -6964,12 +7631,10 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 
     float summs = 0.f;
 
-   for (int i = 0; i < nb; ++i) {
-
+    for (int i = 0; i < nb; ++i) {
         const uint8_t * restrict q5 = x[i].qs;
         const int8_t  * restrict q8 = y[i].qs;
 
-#if QK_K == 256
         const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
         const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
 
@@ -6979,10 +7644,6 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r
         utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
         utmp[2] = uaux;
         utmp[0] &= kmask1;
-#else
-        // TODO
-        const float d = 0, dmin = 0;
-#endif
 
         const __m256i mins_and_scales = _mm256_cvtepu8_epi16(_mm_set_epi32(utmp[3], utmp[2], utmp[1], utmp[0]));
 
@@ -7226,6 +7887,216 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 
     *s = sumf+sums;
 
+#elif defined(__POWER9_VECTOR__)
+    const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector unsigned char v1 = vec_splats((unsigned char)0x1);
+    const vector unsigned char v2 = vec_splats((unsigned char)0x2);
+    const vector unsigned char v3 = vec_splats((unsigned char)0x3);
+    const vector unsigned char v4 = vec_splats((unsigned char)0x4);
+
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+    vector float vsumf2 = vec_splats(0.0f);
+    vector float vsumf3 = vec_splats(0.0f);
+
+    for (int i = 0; i < nb; ++i) {
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(y[i].d);
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector float vxmin = vec_splats(GGML_FP16_TO_FP32(x[i].dmin));
+        vector float vdmin = vec_mul(vxmin, vyd);
+
+        memcpy(utmp, x[i].scales, 12);
+
+        utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
+        const uint32_t uaux = utmp[1] & kmask1;
+        utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
+        utmp[2] = uaux;
+        utmp[0] &= kmask1;
+
+        vector signed short q8ysums0 = vec_xl( 0, y[i].bsums);
+        vector signed short q8ysums1 = vec_xl(16, y[i].bsums);
+
+        vector signed char utmps = (vector signed char)vec_xl( 0, utmp);
+        vector signed short vscales = vec_unpackh(utmps);
+
+        vector signed short q5xmins = vec_unpackl(utmps);
+        vector signed short q5xmins0 = vec_mergeh(q5xmins, q5xmins);
+        vector signed short q5xmins1 = vec_mergel(q5xmins, q5xmins);
+
+        vector signed int prod0 = vec_mule(q5xmins0, q8ysums0);
+        vector signed int prod1 = vec_mule(q5xmins1, q8ysums1);
+        vector signed int prod2 = vec_mulo(q5xmins0, q8ysums0);
+        vector signed int prod3 = vec_mulo(q5xmins1, q8ysums1);
+
+        vsumf0 = vec_nmsub(vec_ctf(prod0, 0), vdmin, vsumf0);
+        vsumf1 = vec_nmsub(vec_ctf(prod1, 0), vdmin, vsumf1);
+        vsumf2 = vec_nmsub(vec_ctf(prod2, 0), vdmin, vsumf2);
+        vsumf3 = vec_nmsub(vec_ctf(prod3, 0), vdmin, vsumf3);
+
+        vector signed char qxhs0 = (vector signed char)vec_xl( 0, x[i].qh);
+        vector signed char qxhs1 = (vector signed char)vec_xl(16, x[i].qh);
+
+        vector signed int vsumi0 = vec_splats((int32_t)0);
+        vector signed int vsumi1 = vec_splats((int32_t)0);
+        vector signed int vsumi2 = vec_splats((int32_t)0);
+        vector signed int vsumi3 = vec_splats((int32_t)0);
+
+        const uint8_t * restrict q5 = x[i].qs;
+        const int8_t  * restrict q8 = y[i].qs;
+
+        for (int j = 0; j < QK_K/64; ++j) {
+            __builtin_prefetch(q5, 0, 1);
+            __builtin_prefetch(q8, 0, 1);
+
+            vector signed char qxs0 = (vector signed char)vec_xl( 0, q5);
+            vector signed char qxs1 = (vector signed char)vec_xl(16, q5);
+            q5 += 32;
+
+            vector signed char qxs00 = vec_and(qxs0, lowMask);
+            vector signed char qxs01 = vec_sr(qxs0, v4);
+            vector signed char qxs10 = vec_and(qxs1, lowMask);
+            vector signed char qxs11 = vec_sr(qxs1, v4);
+
+            vector signed char q5h00 = vec_sl(vec_and((vector signed char)v1, qxhs0), v4);
+            vector signed char q5h01 = vec_sl(vec_and((vector signed char)v2, qxhs0), v3);
+            vector signed char q5h10 = vec_sl(vec_and((vector signed char)v1, qxhs1), v4);
+            vector signed char q5h11 = vec_sl(vec_and((vector signed char)v2, qxhs1), v3);
+            qxhs0 = vec_sr(qxhs0, v2);
+            qxhs1 = vec_sr(qxhs1, v2);
+
+            vector signed char q5x00 = vec_or(q5h00, qxs00);
+            vector signed char q5x01 = vec_or(q5h01, qxs01);
+            vector signed char q5x10 = vec_or(q5h10, qxs10);
+            vector signed char q5x11 = vec_or(q5h11, qxs11);
+
+            vector signed char q8y00 = vec_xl( 0, q8);
+            vector signed char q8y10 = vec_xl(16, q8);
+            vector signed char q8y01 = vec_xl(32, q8);
+            vector signed char q8y11 = vec_xl(48, q8);
+            q8 += 64;
+
+            vector signed short qv00 = vec_add(vec_mule(q5x00, q8y00), vec_mulo(q5x00, q8y00));
+            vector signed short qv01 = vec_add(vec_mule(q5x01, q8y01), vec_mulo(q5x01, q8y01));
+            vector signed short qv10 = vec_add(vec_mule(q5x10, q8y10), vec_mulo(q5x10, q8y10));
+            vector signed short qv11 = vec_add(vec_mule(q5x11, q8y11), vec_mulo(q5x11, q8y11));
+
+            vector signed short vs0 = vec_splat(vscales, 0);
+            vector signed short vs1 = vec_splat(vscales, 1);
+            vscales = vec_sld(vscales, vscales, 12);
+
+            qv00 = vec_add(qv00, qv10);
+            qv01 = vec_add(qv01, qv11);
+
+            vsumi0 = vec_add(vec_mule(qv00, vs0), vsumi0);
+            vsumi1 = vec_add(vec_mulo(qv00, vs0), vsumi1);
+            vsumi2 = vec_add(vec_mule(qv01, vs1), vsumi2);
+            vsumi3 = vec_add(vec_mulo(qv01, vs1), vsumi3);
+        }
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+        vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
+        vsumf3 = vec_madd(vec_ctf(vsumi3, 0), vd, vsumf3);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf2);
+    vsumf1 = vec_add(vsumf1, vsumf3);
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined __loongarch_asx
+    GGML_UNUSED(kmask1);
+    GGML_UNUSED(kmask2);
+    GGML_UNUSED(kmask3);
+
+    const __m256i m4 = __lasx_xvreplgr2vr_b(0xF);
+    const __m128i mzero = __lsx_vldi(0);
+    const __m256i mone  = __lasx_xvreplgr2vr_b(1);
+
+    __m256 acc = (__m256)__lasx_xvldi(0);
+
+    float summs = 0.f;
+
+   for (int i = 0; i < nb; ++i) {
+
+        const uint8_t * restrict q5 = x[i].qs;
+        const int8_t  * restrict q8 = y[i].qs;
+
+        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
+        const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
+
+        memcpy(utmp, x[i].scales, 12);
+        utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
+        const uint32_t uaux = utmp[1] & kmask1;
+        utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
+        utmp[2] = uaux;
+        utmp[0] &= kmask1;
+
+        const __m256i mins_and_scales = lasx_extu8_16(lsx_set_w(utmp[3], utmp[2], utmp[1], utmp[0]));
+
+        const __m256i q8sums = __lasx_xvld((const __m256i*)y[i].bsums, 0);
+        const __m128i q8s = lsx_hadd_h(lasx_extracti128(q8sums, 0), lasx_extracti128(q8sums, 1));
+        const __m128i prod = lsx_madd_h(lasx_extracti128(mins_and_scales, 1), q8s);
+        const __m128i hsum = lsx_hadd_w(lsx_hadd_w(prod, mzero), mzero);
+        summs += dmin * __lsx_vpickve2gr_w(hsum, 0);    //TODO check
+
+        const __m128i sc128  = lasx_extracti128(mins_and_scales, 0);
+        const __m256i scales = lasx_insertf128(sc128, sc128);
+
+        const __m256i hbits = __lasx_xvld((const __m256i*)x[i].qh, 0);
+        __m256i hmask = mone;
+
+        __m256i sumi = __lasx_xvldi(0);
+
+        int bit = 0;
+        __m256i xvbit;
+
+        for (int j = 0; j < QK_K/64; ++j) {
+
+            const __m256i scale_0 = lasx_shuffle_b(scales, get_scale_shuffle_k4(2*j+0));
+            const __m256i scale_1 = lasx_shuffle_b(scales, get_scale_shuffle_k4(2*j+1));
+
+            const __m256i q5bits = __lasx_xvld((const __m256i*)q5, 0); q5 += 32;
+
+            xvbit = __lasx_xvreplgr2vr_h(bit++);
+            const __m256i q5l_0 = __lasx_xvand_v(q5bits, m4);
+            const __m256i q5h_0 = __lasx_xvslli_h(__lasx_xvsrl_h(__lasx_xvand_v(hbits, hmask), xvbit), 4);
+            const __m256i q5_0  = __lasx_xvadd_b(q5l_0, q5h_0);
+            hmask = __lasx_xvslli_h(hmask, 1);
+
+            xvbit = __lasx_xvreplgr2vr_h(bit++);
+            const __m256i q5l_1 = __lasx_xvand_v(__lasx_xvsrli_h(q5bits, 4), m4);
+            const __m256i q5h_1 = __lasx_xvslli_h(__lasx_xvsrl_h(__lasx_xvand_v(hbits, hmask), xvbit), 4);
+            const __m256i q5_1  = __lasx_xvadd_b(q5l_1, q5h_1);
+            hmask = __lasx_xvslli_h(hmask, 1);
+
+            const __m256i q8_0 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            const __m256i q8_1 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+
+            __m256i p16_0 = lasx_maddubs_h(q5_0, q8_0);
+            __m256i p16_1 = lasx_maddubs_h(q5_1, q8_1);
+
+            p16_0 = lasx_madd_h(scale_0, p16_0);
+            p16_1 = lasx_madd_h(scale_1, p16_1);
+
+            sumi = __lasx_xvadd_w(sumi, __lasx_xvadd_w(p16_0, p16_1));
+
+        }
+
+        __m256 vd = __lasx_xvreplfr2vr_s(d);
+        acc = __lasx_xvfmadd_s(vd, __lasx_xvffint_s_w(sumi), acc);
+
+    }
+
+    *s = hsum_float_8(acc) + summs;
+
 #else
 
     const uint8_t * scales = (const uint8_t*)&utmp[0];
@@ -7290,279 +8161,6 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 #endif
 }
 
-#else
-
-void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
-    assert(n % QK_K == 0);
-    assert(nrc == 1);
-    UNUSED(nrc);
-    UNUSED(bx);
-    UNUSED(by);
-    UNUSED(bs);
-
-    const block_q5_K * restrict x = vx;
-    const block_q8_K * restrict y = vy;
-
-    const int nb = n / QK_K;
-
-#ifdef __ARM_NEON
-    const uint8x16_t m4b = vdupq_n_u8(0xf);
-    const uint8x16_t mh = vdupq_n_u8(16);
-    const int32x4_t mzero = vdupq_n_s32(0);
-
-    ggml_int8x16x4_t q5bytes;
-    ggml_uint8x16x4_t q5h;
-
-    float sumf = 0;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-        const int8_t * sc = x[i].scales;
-
-        const uint8_t * restrict q5 = x[i].qs;
-        const uint8_t * restrict qh = x[i].qh;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const uint8x8_t qhbits = vld1_u8(qh);
-
-        const ggml_uint8x16x2_t q5bits = ggml_vld1q_u8_x2(q5);
-        const ggml_int8x16x4_t q8bytes = ggml_vld1q_s8_x4(q8);
-
-        const uint8x16_t htmp = vcombine_u8(qhbits, vshr_n_u8(qhbits, 1));
-        q5h.val[0] = vbicq_u8(mh, vshlq_n_u8(htmp, 4));
-        q5h.val[1] = vbicq_u8(mh, vshlq_n_u8(htmp, 2));
-        q5h.val[2] = vbicq_u8(mh, htmp);
-        q5h.val[3] = vbicq_u8(mh, vshrq_n_u8(htmp, 2));
-
-        q5bytes.val[0] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(q5bits.val[0], m4b)), vreinterpretq_s8_u8(q5h.val[0]));
-        q5bytes.val[1] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(q5bits.val[1], m4b)), vreinterpretq_s8_u8(q5h.val[1]));
-        q5bytes.val[2] = vsubq_s8(vreinterpretq_s8_u8(vshrq_n_u8(q5bits.val[0], 4)), vreinterpretq_s8_u8(q5h.val[2]));
-        q5bytes.val[3] = vsubq_s8(vreinterpretq_s8_u8(vshrq_n_u8(q5bits.val[1], 4)), vreinterpretq_s8_u8(q5h.val[3]));
-
-        int32_t sumi1 = sc[0] * vaddvq_s32(ggml_vdotq_s32(mzero, q5bytes.val[0], q8bytes.val[0]));
-        int32_t sumi2 = sc[1] * vaddvq_s32(ggml_vdotq_s32(mzero, q5bytes.val[1], q8bytes.val[1]));
-        int32_t sumi3 = sc[2] * vaddvq_s32(ggml_vdotq_s32(mzero, q5bytes.val[2], q8bytes.val[2]));
-        int32_t sumi4 = sc[3] * vaddvq_s32(ggml_vdotq_s32(mzero, q5bytes.val[3], q8bytes.val[3]));
-
-        sumf += d * (sumi1 + sumi2 + sumi3 + sumi4);
-    }
-
-    *s = sumf;
-
-#elif defined __AVX2__
-
-    const __m256i m4 = _mm256_set1_epi8(0xF);
-    const __m256i mone  = _mm256_set1_epi8(1);
-
-    __m256 acc = _mm256_setzero_ps();
-
-    for (int i = 0; i < nb; ++i) {
-
-        const uint8_t * restrict q5 = x[i].qs;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-
-        const __m256i q5bits = _mm256_loadu_si256((const __m256i*)q5);
-
-        const __m256i scale_l = MM256_SET_M128I(_mm_set1_epi16(x[i].scales[1]), _mm_set1_epi16(x[i].scales[0]));
-        const __m256i scale_h = MM256_SET_M128I(_mm_set1_epi16(x[i].scales[3]), _mm_set1_epi16(x[i].scales[2]));
-
-        int64_t aux64;
-        memcpy(&aux64, x[i].qh, 8);
-        const __m128i haux128 = _mm_set_epi64x(aux64 >> 1, aux64);
-        const __m256i haux256 = MM256_SET_M128I(_mm_srli_epi16(haux128, 2), haux128);
-
-        const __m256i q5h_0 = _mm256_slli_epi16(_mm256_andnot_si256(haux256, mone), 4);
-        const __m256i q5h_1 = _mm256_slli_epi16(_mm256_andnot_si256(_mm256_srli_epi16(haux256, 4), mone), 4);
-
-        const __m256i q5l_0 = _mm256_and_si256(q5bits, m4);
-        const __m256i q5l_1 = _mm256_and_si256(_mm256_srli_epi16(q5bits, 4), m4);
-
-        const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
-        const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
-
-        const __m256i p16_0 = _mm256_madd_epi16(scale_l, _mm256_maddubs_epi16(q5l_0, q8_0));
-        const __m256i p16_1 = _mm256_madd_epi16(scale_h, _mm256_maddubs_epi16(q5l_1, q8_1));
-        const __m256i s16_0 = _mm256_madd_epi16(scale_l, _mm256_maddubs_epi16(q5h_0, q8_0));
-        const __m256i s16_1 = _mm256_madd_epi16(scale_h, _mm256_maddubs_epi16(q5h_1, q8_1));
-
-        const __m256i dot = _mm256_sub_epi32(_mm256_add_epi32(p16_0, p16_1), _mm256_add_epi32(s16_0, s16_1));
-
-        acc = _mm256_fmadd_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(dot), acc);
-
-    }
-
-    *s = hsum_float_8(acc);
-
-#elif defined __AVX__
-
-    const __m128i m4 = _mm_set1_epi8(0xF);
-    const __m128i mone  = _mm_set1_epi8(1);
-
-    __m256 acc = _mm256_setzero_ps();
-
-    for (int i = 0; i < nb; ++i) {
-
-        const uint8_t * restrict q5 = x[i].qs;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-
-        const __m256i q5bits = _mm256_loadu_si256((const __m256i*)q5);
-
-        const __m128i scale_0 = _mm_set1_epi16(x[i].scales[0]);
-        const __m128i scale_1 = _mm_set1_epi16(x[i].scales[1]);
-        const __m128i scale_2 = _mm_set1_epi16(x[i].scales[2]);
-        const __m128i scale_3 = _mm_set1_epi16(x[i].scales[3]);
-
-        int64_t aux64;
-        memcpy(&aux64, x[i].qh, 8);
-        const __m128i haux128_0 = _mm_set_epi64x(aux64 >> 1, aux64);
-        const __m128i haux128_1 = _mm_srli_epi16(haux128_0, 2);
-
-        const __m128i q5h_0 = _mm_slli_epi16(_mm_andnot_si128(haux128_0, mone), 4);
-        const __m128i q5h_1 = _mm_slli_epi16(_mm_andnot_si128(haux128_1, mone), 4);
-        const __m128i q5h_2 = _mm_slli_epi16(_mm_andnot_si128(_mm_srli_epi16(haux128_0, 4), mone), 4);
-        const __m128i q5h_3 = _mm_slli_epi16(_mm_andnot_si128(_mm_srli_epi16(haux128_1, 4), mone), 4);
-
-        const __m128i q5l_0 = _mm_and_si128(_mm256_extractf128_si256(q5bits, 0), m4);
-        const __m128i q5l_1 = _mm_and_si128(_mm256_extractf128_si256(q5bits, 1), m4);
-        const __m128i q5l_2 = _mm_and_si128(_mm_srli_epi16(_mm256_extractf128_si256(q5bits, 0), 4), m4);
-        const __m128i q5l_3 = _mm_and_si128(_mm_srli_epi16(_mm256_extractf128_si256(q5bits, 1), 4), m4);
-
-        const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
-        const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
-
-        const __m128i p16_0 = _mm_madd_epi16(scale_0, _mm_maddubs_epi16(q5l_0, _mm256_extractf128_si256(q8_0, 0)));
-        const __m128i p16_1 = _mm_madd_epi16(scale_1, _mm_maddubs_epi16(q5l_1, _mm256_extractf128_si256(q8_0, 1)));
-        const __m128i p16_2 = _mm_madd_epi16(scale_2, _mm_maddubs_epi16(q5l_2, _mm256_extractf128_si256(q8_1, 0)));
-        const __m128i p16_3 = _mm_madd_epi16(scale_3, _mm_maddubs_epi16(q5l_3, _mm256_extractf128_si256(q8_1, 1)));
-        const __m128i s16_0 = _mm_madd_epi16(scale_0, _mm_maddubs_epi16(q5h_0, _mm256_extractf128_si256(q8_0, 0)));
-        const __m128i s16_1 = _mm_madd_epi16(scale_1, _mm_maddubs_epi16(q5h_1, _mm256_extractf128_si256(q8_0, 1)));
-        const __m128i s16_2 = _mm_madd_epi16(scale_2, _mm_maddubs_epi16(q5h_2, _mm256_extractf128_si256(q8_1, 0)));
-        const __m128i s16_3 = _mm_madd_epi16(scale_3, _mm_maddubs_epi16(q5h_3, _mm256_extractf128_si256(q8_1, 1)));
-
-        const __m128i dot_0 = _mm_sub_epi32(_mm_add_epi32(p16_0, p16_2), _mm_add_epi32(s16_0, s16_2));
-        const __m128i dot_1 = _mm_sub_epi32(_mm_add_epi32(p16_1, p16_3), _mm_add_epi32(s16_1, s16_3));
-
-        acc = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(dot_1, dot_0))), acc);
-
-    }
-
-    *s = hsum_float_8(acc);
-
-#elif defined __riscv_v_intrinsic
-
-    float sumf = 0;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-        const int8_t * sc = x[i].scales;
-
-        const uint8_t * restrict q5 = x[i].qs;
-        const uint8_t * restrict qh = x[i].qh;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        vint32m1_t vzero = __riscv_vmv_v_x_i32m1(0, 1);
-
-        // load qh
-        vuint8mf4_t qh_x1   = __riscv_vle8_v_u8mf4(qh, 8);
-        vuint8mf2_t qh_x2   = __riscv_vlmul_ext_v_u8mf4_u8mf2(__riscv_vsrl_vx_u8mf4(qh_x1, 1, 8));
-
-        size_t vl = 16;
-
-        // combine both qh_1 and qh_2
-        vuint8mf2_t qh_x = __riscv_vslideup_vx_u8mf2(__riscv_vlmul_ext_v_u8mf4_u8mf2(qh_x1), qh_x2, vl/2, vl);
-
-        vuint8mf2_t qh_h0 = __riscv_vand_vx_u8mf2(__riscv_vnot_v_u8mf2(__riscv_vsll_vx_u8mf2(qh_x, 0x4, vl), vl), 16, vl);
-        vuint8mf2_t qh_h1 = __riscv_vand_vx_u8mf2(__riscv_vnot_v_u8mf2(__riscv_vsll_vx_u8mf2(qh_x, 0x2, vl), vl), 16, vl);
-        vuint8mf2_t qh_h2 = __riscv_vand_vx_u8mf2(__riscv_vnot_v_u8mf2(qh_x, vl), 16, vl);
-        vuint8mf2_t qh_h3 = __riscv_vand_vx_u8mf2(__riscv_vnot_v_u8mf2(__riscv_vsrl_vx_u8mf2(qh_x, 0x4, vl), vl), 16, vl);
-
-        vint8mf2_t qh_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(qh_h0);
-        vint8mf2_t qh_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(qh_h1);
-        vint8mf2_t qh_2 = __riscv_vreinterpret_v_u8mf2_i8mf2(qh_h2);
-        vint8mf2_t qh_3 = __riscv_vreinterpret_v_u8mf2_i8mf2(qh_h3);
-
-        // load q5
-        vuint8mf2_t q5_x1  = __riscv_vle8_v_u8mf2(q5, vl);
-        vuint8mf2_t q5_x2  = __riscv_vle8_v_u8mf2(q5+16, vl);
-
-        vint8mf2_t q5s_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(q5_x1, 0xF, vl));
-        vint8mf2_t q5s_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(q5_x2, 0xF, vl));
-        vint8mf2_t q5s_2 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vsrl_vx_u8mf2(q5_x1, 0x4, vl));
-        vint8mf2_t q5s_3 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vsrl_vx_u8mf2(q5_x2, 0x4, vl));
-
-        vint8mf2_t q5_0 = __riscv_vsub_vv_i8mf2(q5s_0, qh_0, vl);
-        vint8mf2_t q5_1 = __riscv_vsub_vv_i8mf2(q5s_1, qh_1, vl);
-        vint8mf2_t q5_2 = __riscv_vsub_vv_i8mf2(q5s_2, qh_2, vl);
-        vint8mf2_t q5_3 = __riscv_vsub_vv_i8mf2(q5s_3, qh_3, vl);
-
-        // load Q8 and multiply it with Q5
-        vint16m1_t p0 = __riscv_vwmul_vv_i16m1(q5_0, __riscv_vle8_v_i8mf2(q8, vl), vl);
-        vint16m1_t p1 = __riscv_vwmul_vv_i16m1(q5_1, __riscv_vle8_v_i8mf2(q8+16, vl), vl);
-        vint16m1_t p2 = __riscv_vwmul_vv_i16m1(q5_2, __riscv_vle8_v_i8mf2(q8+32, vl), vl);
-        vint16m1_t p3 = __riscv_vwmul_vv_i16m1(q5_3, __riscv_vle8_v_i8mf2(q8+48, vl), vl);
-
-        vint32m1_t vs_0 = __riscv_vwredsum_vs_i16m1_i32m1(p0, vzero, vl);
-        vint32m1_t vs_1 = __riscv_vwredsum_vs_i16m1_i32m1(p1, vzero, vl);
-        vint32m1_t vs_2 = __riscv_vwredsum_vs_i16m1_i32m1(p2, vzero, vl);
-        vint32m1_t vs_3 = __riscv_vwredsum_vs_i16m1_i32m1(p3, vzero, vl);
-
-        int32_t sumi1 = sc[0] * __riscv_vmv_x_s_i32m1_i32(vs_0);
-        int32_t sumi2 = sc[1] * __riscv_vmv_x_s_i32m1_i32(vs_1);
-        int32_t sumi3 = sc[2] * __riscv_vmv_x_s_i32m1_i32(vs_2);
-        int32_t sumi4 = sc[3] * __riscv_vmv_x_s_i32m1_i32(vs_3);
-
-        sumf += d * (sumi1 + sumi2 + sumi3 + sumi4);
-
-    }
-
-    *s = sumf;
-
-#else
-
-    int8_t aux8[QK_K];
-    int16_t aux16[16];
-    float   sums [8];
-    memset(sums, 0, 8*sizeof(float));
-
-    float sumf = 0;
-    for (int i = 0; i < nb; ++i) {
-        const uint8_t * restrict q4 = x[i].qs;
-        const uint8_t * restrict hm = x[i].qh;
-        const  int8_t * restrict q8 = y[i].qs;
-        int8_t * restrict a = aux8;
-        for (int l = 0; l < 32; ++l) {
-            a[l+ 0] = q4[l] & 0xF;
-            a[l+32] = q4[l]  >> 4;
-        }
-        for (int is = 0; is < 8; ++is) {
-            uint8_t m = 1 << is;
-            for (int l = 0; l < 8; ++l) a[8*is + l] -= (hm[l] & m ? 0 : 16);
-        }
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-        const int8_t * restrict sc = x[i].scales;
-
-        for (int j = 0; j < QK_K/16; ++j) {
-            const float dl = d * sc[j];
-            for (int l = 0; l < 16; ++l) aux16[l] = q8[l] * a[l];
-            for (int l = 0; l <  8; ++l) sums[l] += dl * (aux16[l] + aux16[8+l]);
-            q8 += 16; a += 16;
-        }
-    }
-    for (int l = 0; l < 8; ++l) sumf += sums[l];
-    *s = sumf;
-#endif
-}
-#endif
-
-
-#if QK_K == 256
 void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
@@ -7953,6 +8551,229 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 
     *s = sumf;
 
+#elif defined(__POWER9_VECTOR__)
+    const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector unsigned char v2 = vec_splats((unsigned char)0x2);
+    const vector unsigned char v3 = vec_splats((unsigned char)0x3);
+    const vector unsigned char v4 = vec_splats((unsigned char)0x4);
+    const vector unsigned char v6 = vec_splats((unsigned char)0x6);
+    const vector signed char off = vec_splats((signed char)0x20);
+
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+    vector float vsumf2 = vec_splats(0.0f);
+    vector float vsumf3 = vec_splats(0.0f);
+
+    for (int i = 0; i < nb; ++i) {
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(y[i].d);
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector signed int vsumi0 = vec_splats((int32_t)0);
+        vector signed int vsumi1 = vec_splats((int32_t)0);
+        vector signed int vsumi2 = vec_splats((int32_t)0);
+        vector signed int vsumi3 = vec_splats((int32_t)0);
+        vector signed int vsumi4 = vec_splats((int32_t)0);
+        vector signed int vsumi5 = vec_splats((int32_t)0);
+        vector signed int vsumi6 = vec_splats((int32_t)0);
+        vector signed int vsumi7 = vec_splats((int32_t)0);
+
+        const uint8_t * restrict q6 = x[i].ql;
+        const uint8_t * restrict qh = x[i].qh;
+        const int8_t  * restrict qs = x[i].scales;
+        const int8_t  * restrict q8 = y[i].qs;
+
+        for (int j = 0; j < QK_K/128; ++j) {
+            __builtin_prefetch(q6, 0, 0);
+            __builtin_prefetch(qh, 0, 0);
+            __builtin_prefetch(q8, 0, 0);
+
+            vector signed char qxs0 = (vector signed char)vec_xl( 0, q6);
+            vector signed char qxs1 = (vector signed char)vec_xl(16, q6);
+            vector signed char qxs2 = (vector signed char)vec_xl(32, q6);
+            vector signed char qxs3 = (vector signed char)vec_xl(48, q6);
+            q6 += 64;
+
+            vector signed char qxs00 = vec_and(qxs0, lowMask);
+            vector signed char qxs01 = vec_sr(qxs0, v4);
+            vector signed char qxs10 = vec_and(qxs1, lowMask);
+            vector signed char qxs11 = vec_sr(qxs1, v4);
+            vector signed char qxs20 = vec_and(qxs2, lowMask);
+            vector signed char qxs21 = vec_sr(qxs2, v4);
+            vector signed char qxs30 = vec_and(qxs3, lowMask);
+            vector signed char qxs31 = vec_sr(qxs3, v4);
+
+            vector signed char qxhs0 = (vector signed char)vec_xl( 0, qh);
+            vector signed char qxhs1 = (vector signed char)vec_xl(16, qh);
+            qh += 32;
+
+            vector signed char qxh00 = vec_sl(vec_and((vector signed char)v3, qxhs0), v4);
+            vector signed char qxh01 = vec_sl(vec_and((vector signed char)v3, vec_sr(qxhs0, v4)), v4);
+            vector signed char qxh10 = vec_sl(vec_and((vector signed char)v3, qxhs1), v4);
+            vector signed char qxh11 = vec_sl(vec_and((vector signed char)v3, vec_sr(qxhs1, v4)), v4);
+            vector signed char qxh20 = vec_sl(vec_and((vector signed char)v3, vec_sr(qxhs0, v2)), v4);
+            vector signed char qxh21 = vec_sl(vec_and((vector signed char)v3, vec_sr(qxhs0, v6)), v4);
+            vector signed char qxh30 = vec_sl(vec_and((vector signed char)v3, vec_sr(qxhs1, v2)), v4);
+            vector signed char qxh31 = vec_sl(vec_and((vector signed char)v3, vec_sr(qxhs1, v6)), v4);
+
+            vector signed char q6x00 = vec_sub(vec_or(qxh00, qxs00), off);
+            vector signed char q6x01 = vec_sub(vec_or(qxh01, qxs01), off);
+            vector signed char q6x10 = vec_sub(vec_or(qxh10, qxs10), off);
+            vector signed char q6x11 = vec_sub(vec_or(qxh11, qxs11), off);
+            vector signed char q6x20 = vec_sub(vec_or(qxh20, qxs20), off);
+            vector signed char q6x21 = vec_sub(vec_or(qxh21, qxs21), off);
+            vector signed char q6x30 = vec_sub(vec_or(qxh30, qxs30), off);
+            vector signed char q6x31 = vec_sub(vec_or(qxh31, qxs31), off);
+
+            vector signed char q8y00 = vec_xl(  0, q8);
+            vector signed char q8y10 = vec_xl( 16, q8);
+            vector signed char q8y20 = vec_xl( 32, q8);
+            vector signed char q8y30 = vec_xl( 48, q8);
+            vector signed char q8y01 = vec_xl( 64, q8);
+            vector signed char q8y11 = vec_xl( 80, q8);
+            vector signed char q8y21 = vec_xl( 96, q8);
+            vector signed char q8y31 = vec_xl(112, q8);
+            q8 += 128;
+
+            vector signed short qv00 = vec_add(vec_mule(q6x00, q8y00), vec_mulo(q6x00, q8y00));
+            vector signed short qv10 = vec_add(vec_mule(q6x10, q8y10), vec_mulo(q6x10, q8y10));
+            vector signed short qv20 = vec_add(vec_mule(q6x20, q8y20), vec_mulo(q6x20, q8y20));
+            vector signed short qv30 = vec_add(vec_mule(q6x30, q8y30), vec_mulo(q6x30, q8y30));
+            vector signed short qv01 = vec_add(vec_mule(q6x01, q8y01), vec_mulo(q6x01, q8y01));
+            vector signed short qv11 = vec_add(vec_mule(q6x11, q8y11), vec_mulo(q6x11, q8y11));
+            vector signed short qv21 = vec_add(vec_mule(q6x21, q8y21), vec_mulo(q6x21, q8y21));
+            vector signed short qv31 = vec_add(vec_mule(q6x31, q8y31), vec_mulo(q6x31, q8y31));
+
+            vector signed short vscales = vec_unpackh(vec_xl_len(qs, 8));
+            qs += 8;
+
+            vector signed short vs0 = vec_splat(vscales, 0);
+            vector signed short vs1 = vec_splat(vscales, 1);
+            vector signed short vs2 = vec_splat(vscales, 2);
+            vector signed short vs3 = vec_splat(vscales, 3);
+            vector signed short vs4 = vec_splat(vscales, 4);
+            vector signed short vs5 = vec_splat(vscales, 5);
+            vector signed short vs6 = vec_splat(vscales, 6);
+            vector signed short vs7 = vec_splat(vscales, 7);
+
+            vsumi0 = vec_add(vec_mule(qv00, vs0), vsumi0);
+            vsumi1 = vec_add(vec_mulo(qv00, vs0), vsumi1);
+            vsumi2 = vec_add(vec_mule(qv01, vs4), vsumi2);
+            vsumi3 = vec_add(vec_mulo(qv01, vs4), vsumi3);
+            vsumi4 = vec_add(vec_mule(qv10, vs1), vsumi4);
+            vsumi5 = vec_add(vec_mulo(qv10, vs1), vsumi5);
+            vsumi6 = vec_add(vec_mule(qv11, vs5), vsumi6);
+            vsumi7 = vec_add(vec_mulo(qv11, vs5), vsumi7);
+
+            vsumi0 = vec_add(vec_mule(qv20, vs2), vsumi0);
+            vsumi1 = vec_add(vec_mulo(qv20, vs2), vsumi1);
+            vsumi2 = vec_add(vec_mule(qv21, vs6), vsumi2);
+            vsumi3 = vec_add(vec_mulo(qv21, vs6), vsumi3);
+            vsumi4 = vec_add(vec_mule(qv30, vs3), vsumi4);
+            vsumi5 = vec_add(vec_mulo(qv30, vs3), vsumi5);
+            vsumi6 = vec_add(vec_mule(qv31, vs7), vsumi6);
+            vsumi7 = vec_add(vec_mulo(qv31, vs7), vsumi7);
+        }
+
+        vsumi0 = vec_add(vsumi0, vsumi4);
+        vsumi1 = vec_add(vsumi1, vsumi5);
+        vsumi2 = vec_add(vsumi2, vsumi6);
+        vsumi3 = vec_add(vsumi3, vsumi7);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+        vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
+        vsumf3 = vec_madd(vec_ctf(vsumi3, 0), vd, vsumf3);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf2);
+    vsumf1 = vec_add(vsumf1, vsumf3);
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined __loongarch_asx
+
+    const __m256i m4 = __lasx_xvreplgr2vr_b(0xF);
+    const __m256i m2 = __lasx_xvreplgr2vr_b(3);
+    const __m256i m32s = __lasx_xvreplgr2vr_b(32);
+
+    __m256 acc = (__m256)__lasx_xvldi(0);
+
+    for (int i = 0; i < nb; ++i) {
+
+        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
+
+        const uint8_t * restrict q4 = x[i].ql;
+        const uint8_t * restrict qh = x[i].qh;
+        const int8_t  * restrict q8 = y[i].qs;
+
+        const __m128i scales = __lsx_vld((const __m128i*)x[i].scales, 0);
+
+        __m256i sumi = __lasx_xvldi(0);
+
+        int is = 0;
+
+        for (int j = 0; j < QK_K/128; ++j) {
+
+            const __m128i scale_0 = lsx_shuffle_b(scales, get_scale_shuffle(is + 0));
+            const __m128i scale_1 = lsx_shuffle_b(scales, get_scale_shuffle(is + 1));
+            const __m128i scale_2 = lsx_shuffle_b(scales, get_scale_shuffle(is + 2));
+            const __m128i scale_3 = lsx_shuffle_b(scales, get_scale_shuffle(is + 3));
+            is += 4;
+
+            const __m256i q4bits1 = __lasx_xvld((const __m256i*)q4, 0); q4 += 32;
+            const __m256i q4bits2 = __lasx_xvld((const __m256i*)q4, 0); q4 += 32;
+            const __m256i q4bitsH = __lasx_xvld((const __m256i*)qh, 0); qh += 32;
+
+            const __m256i q4h_0 = __lasx_xvslli_h(__lasx_xvand_v(q4bitsH, m2), 4);
+            const __m256i q4h_1 = __lasx_xvslli_h(__lasx_xvand_v(__lasx_xvsrli_h(q4bitsH, 2), m2), 4);
+            const __m256i q4h_2 = __lasx_xvslli_h(__lasx_xvand_v(__lasx_xvsrli_h(q4bitsH, 4), m2), 4);
+            const __m256i q4h_3 = __lasx_xvslli_h(__lasx_xvand_v(__lasx_xvsrli_h(q4bitsH, 6), m2), 4);
+
+            const __m256i q4_0 = __lasx_xvor_v(__lasx_xvand_v(q4bits1, m4), q4h_0);
+            const __m256i q4_1 = __lasx_xvor_v(__lasx_xvand_v(q4bits2, m4), q4h_1);
+            const __m256i q4_2 = __lasx_xvor_v(__lasx_xvand_v(__lasx_xvsrli_h(q4bits1, 4), m4), q4h_2);
+            const __m256i q4_3 = __lasx_xvor_v(__lasx_xvand_v(__lasx_xvsrli_h(q4bits2, 4), m4), q4h_3);
+
+            const __m256i q8_0 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            const __m256i q8_1 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            const __m256i q8_2 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            const __m256i q8_3 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+
+            __m256i q8s_0 = lasx_maddubs_h(m32s, q8_0);
+            __m256i q8s_1 = lasx_maddubs_h(m32s, q8_1);
+            __m256i q8s_2 = lasx_maddubs_h(m32s, q8_2);
+            __m256i q8s_3 = lasx_maddubs_h(m32s, q8_3);
+
+            __m256i p16_0 = lasx_maddubs_h(q4_0, q8_0);
+            __m256i p16_1 = lasx_maddubs_h(q4_1, q8_1);
+            __m256i p16_2 = lasx_maddubs_h(q4_2, q8_2);
+            __m256i p16_3 = lasx_maddubs_h(q4_3, q8_3);
+
+            p16_0 = __lasx_xvsub_h(p16_0, q8s_0);
+            p16_1 = __lasx_xvsub_h(p16_1, q8s_1);
+            p16_2 = __lasx_xvsub_h(p16_2, q8s_2);
+            p16_3 = __lasx_xvsub_h(p16_3, q8s_3);
+
+            p16_0 = lasx_madd_h(lasx_ext8_16(scale_0), p16_0);
+            p16_1 = lasx_madd_h(lasx_ext8_16(scale_1), p16_1);
+            p16_2 = lasx_madd_h(lasx_ext8_16(scale_2), p16_2);
+            p16_3 = lasx_madd_h(lasx_ext8_16(scale_3), p16_3);
+
+            sumi = __lasx_xvadd_w(sumi, __lasx_xvadd_w(p16_0, p16_1));
+            sumi = __lasx_xvadd_w(sumi, __lasx_xvadd_w(p16_2, p16_3));
+        }
+
+        acc = __lasx_xvfmadd_s((__m256)__lasx_xvreplfr2vr_s(d), __lasx_xvffint_s_w(sumi), acc);
+    }
+
+    *s = hsum_float_8(acc);
+
 #else
 
     int8_t  aux8[QK_K];
@@ -7998,309 +8819,7 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 #endif
 }
 
-#else
-
-void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
-    assert(n % QK_K == 0);
-    assert(nrc == 1);
-    UNUSED(nrc);
-    UNUSED(bx);
-    UNUSED(by);
-    UNUSED(bs);
-
-    const block_q6_K * restrict x = vx;
-    const block_q8_K * restrict y = vy;
-
-    const int nb = n / QK_K;
-
-#ifdef __ARM_NEON
-    float sum = 0;
-
-    const uint8x16_t m4b = vdupq_n_u8(0xF);
-    const int8x16_t  m32s = vdupq_n_s8(32);
-    const int32x4_t  vzero = vdupq_n_s32(0);
-
-    const uint8x16_t mone = vdupq_n_u8(3);
-
-    ggml_int8x16x4_t q6bytes;
-    ggml_uint8x16x4_t q6h;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d_all = GGML_FP16_TO_FP32(x[i].d);
-
-        const uint8_t * restrict q6 = x[i].ql;
-        const uint8_t * restrict qh = x[i].qh;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const int8_t * restrict scale = x[i].scales;
-
-        int32_t isum = 0;
-
-        uint8x16_t qhbits = vld1q_u8(qh);
-        ggml_uint8x16x2_t q6bits = ggml_vld1q_u8_x2(q6);
-        ggml_int8x16x4_t q8bytes = ggml_vld1q_s8_x4(q8);
-
-        q6h.val[0] = vshlq_n_u8(vandq_u8(mone, qhbits), 4);
-        uint8x16_t shifted = vshrq_n_u8(qhbits, 2);
-        q6h.val[1] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
-        shifted = vshrq_n_u8(qhbits, 4);
-        q6h.val[2] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
-        shifted = vshrq_n_u8(qhbits, 6);
-        q6h.val[3] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
-
-        q6bytes.val[0] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[0], m4b), q6h.val[0])), m32s);
-        q6bytes.val[1] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[1], m4b), q6h.val[1])), m32s);
-        q6bytes.val[2] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[0], 4), q6h.val[2])), m32s);
-        q6bytes.val[3] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[1], 4), q6h.val[3])), m32s);
-
-        isum += vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[0], q8bytes.val[0])) * scale[0] +
-                vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[1], q8bytes.val[1])) * scale[1] +
-                vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[2], q8bytes.val[2])) * scale[2] +
-                vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[3], q8bytes.val[3])) * scale[3];
-
-        sum += isum * d_all * y[i].d;
-
-    }
-    *s = sum;
-
-#elif defined __AVX2__
-
-    const __m256i m4 = _mm256_set1_epi8(0xF);
-    const __m256i m2 = _mm256_set1_epi8(3);
-    const __m256i m32s = _mm256_set1_epi8(32);
-
-    __m256 acc = _mm256_setzero_ps();
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-
-        const uint8_t * restrict q4 = x[i].ql;
-        const uint8_t * restrict qh = x[i].qh;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const __m64 scales_1 = _mm_set1_pi8(x[i].scales[0]);
-        const __m64 scales_2 = _mm_set1_pi8(x[i].scales[1]);
-        const __m64 scales_3 = _mm_set1_pi8(x[i].scales[2]);
-        const __m64 scales_4 = _mm_set1_pi8(x[i].scales[3]);
-
-        __m256i sumi = _mm256_setzero_si256();
-
-        const __m128i scale_0 = _mm_set_epi64(scales_2, scales_1);
-        const __m128i scale_1 = _mm_set_epi64(scales_4, scales_3);
-
-        const __m256i q4bits1 = _mm256_loadu_si256((const __m256i*)q4);
-        const __m128i q4bitsH = _mm_loadu_si128((const __m128i*)qh);
-
-        const __m256i q4h_0 = _mm256_slli_epi16(_mm256_and_si256(MM256_SET_M128I(_mm_srli_epi16(q4bitsH, 2), q4bitsH), m2), 4);
-        const __m256i q4h_1 = _mm256_slli_epi16(_mm256_and_si256(MM256_SET_M128I(_mm_srli_epi16(q4bitsH, 6), _mm_srli_epi16(q4bitsH, 4)), m2), 4);
-
-        const __m256i q4_0 = _mm256_or_si256(_mm256_and_si256(q4bits1, m4), q4h_0);
-        const __m256i q4_1 = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(q4bits1, 4), m4), q4h_1);
-
-        const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
-        const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
-
-        __m256i q8s_0 = _mm256_maddubs_epi16(m32s, q8_0);
-        __m256i q8s_1 = _mm256_maddubs_epi16(m32s, q8_1);
-
-        __m256i p16_0 = _mm256_maddubs_epi16(q4_0, q8_0);
-        __m256i p16_1 = _mm256_maddubs_epi16(q4_1, q8_1);
-
-        p16_0 = _mm256_sub_epi16(p16_0, q8s_0);
-        p16_1 = _mm256_sub_epi16(p16_1, q8s_1);
-
-        p16_0 = _mm256_madd_epi16(_mm256_cvtepi8_epi16(scale_0), p16_0);
-        p16_1 = _mm256_madd_epi16(_mm256_cvtepi8_epi16(scale_1), p16_1);
-
-        sumi = _mm256_add_epi32(sumi, _mm256_add_epi32(p16_0, p16_1));
-
-        acc = _mm256_fmadd_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(sumi), acc);
-    }
-
-    *s = hsum_float_8(acc);
-
-#elif defined __AVX__
-
-    const __m128i m4 = _mm_set1_epi8(0xF);
-    const __m128i m2 = _mm_set1_epi8(3);
-    const __m128i m32s = _mm_set1_epi8(32);
-
-    __m256 acc = _mm256_setzero_ps();
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
-
-        const uint8_t * restrict q4 = x[i].ql;
-        const uint8_t * restrict qh = x[i].qh;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const __m64 scales_1 = _mm_set1_pi8(x[i].scales[0]);
-        const __m64 scales_2 = _mm_set1_pi8(x[i].scales[1]);
-        const __m64 scales_3 = _mm_set1_pi8(x[i].scales[2]);
-        const __m64 scales_4 = _mm_set1_pi8(x[i].scales[3]);
-
-        __m128i sumi_0 = _mm_setzero_si128();
-        __m128i sumi_1 = _mm_setzero_si128();
-
-        const __m128i scale_0 = _mm_set_epi64(scales_2, scales_1);
-        const __m128i scale_1 = _mm_set_epi64(scales_4, scales_3);
-
-        const __m256i q4bits1 = _mm256_loadu_si256((const __m256i*)q4);
-        const __m128i q4bitsH = _mm_loadu_si128((const __m128i*)qh);
-
-        const __m128i q4h_0 = _mm_slli_epi16(_mm_and_si128(q4bitsH, m2), 4);
-        const __m128i q4h_1 = _mm_slli_epi16(_mm_and_si128(_mm_srli_epi16(q4bitsH, 2), m2), 4);
-        const __m128i q4h_2 = _mm_slli_epi16(_mm_and_si128(_mm_srli_epi16(q4bitsH, 4), m2), 4);
-        const __m128i q4h_3 = _mm_slli_epi16(_mm_and_si128(_mm_srli_epi16(q4bitsH, 6), m2), 4);
-
-        const __m128i q4_0 = _mm_or_si128(_mm_and_si128(_mm256_extractf128_si256(q4bits1, 0), m4), q4h_0);
-        const __m128i q4_1 = _mm_or_si128(_mm_and_si128(_mm256_extractf128_si256(q4bits1, 1), m4), q4h_1);
-        const __m128i q4_2 = _mm_or_si128(_mm_and_si128(_mm_srli_epi16(_mm256_extractf128_si256(q4bits1, 0), 4), m4), q4h_2);
-        const __m128i q4_3 = _mm_or_si128(_mm_and_si128(_mm_srli_epi16(_mm256_extractf128_si256(q4bits1, 1), 4), m4), q4h_3);
-
-        const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
-        const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
-
-        __m128i q8s_0 = _mm_maddubs_epi16(m32s, _mm256_extractf128_si256(q8_0, 0));
-        __m128i q8s_1 = _mm_maddubs_epi16(m32s, _mm256_extractf128_si256(q8_0, 1));
-        __m128i q8s_2 = _mm_maddubs_epi16(m32s, _mm256_extractf128_si256(q8_1, 0));
-        __m128i q8s_3 = _mm_maddubs_epi16(m32s, _mm256_extractf128_si256(q8_1, 1));
-
-        __m128i p16_0 = _mm_maddubs_epi16(q4_0, _mm256_extractf128_si256(q8_0, 0));
-        __m128i p16_1 = _mm_maddubs_epi16(q4_1, _mm256_extractf128_si256(q8_0, 1));
-        __m128i p16_2 = _mm_maddubs_epi16(q4_2, _mm256_extractf128_si256(q8_1, 0));
-        __m128i p16_3 = _mm_maddubs_epi16(q4_3, _mm256_extractf128_si256(q8_1, 1));
-
-        p16_0 = _mm_sub_epi16(p16_0, q8s_0);
-        p16_1 = _mm_sub_epi16(p16_1, q8s_1);
-        p16_2 = _mm_sub_epi16(p16_2, q8s_2);
-        p16_3 = _mm_sub_epi16(p16_3, q8s_3);
-
-        p16_0 = _mm_madd_epi16(_mm_cvtepi8_epi16(scale_0), p16_0);
-        p16_1 = _mm_madd_epi16(_mm_cvtepi8_epi16(_mm_unpackhi_epi64(scale_0, scale_0)), p16_1);
-        p16_2 = _mm_madd_epi16(_mm_cvtepi8_epi16(scale_1), p16_2);
-        p16_3 = _mm_madd_epi16(_mm_cvtepi8_epi16(_mm_unpackhi_epi64(scale_1, scale_1)), p16_3);
-
-        sumi_0 = _mm_add_epi32(sumi_0, _mm_add_epi32(p16_0, p16_2));
-        sumi_1 = _mm_add_epi32(sumi_1, _mm_add_epi32(p16_1, p16_3));
-
-        acc = _mm256_add_ps(_mm256_mul_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(MM256_SET_M128I(sumi_1, sumi_0))), acc);
-    }
-
-    *s = hsum_float_8(acc);
-
-#elif defined __riscv_v_intrinsic
-
-    float sumf = 0;
-
-    for (int i = 0; i < nb; ++i) {
-
-        const float d_all = GGML_FP16_TO_FP32(x[i].d);
-
-        const uint8_t * restrict q6 = x[i].ql;
-        const uint8_t * restrict qh = x[i].qh;
-        const int8_t  * restrict q8 = y[i].qs;
-
-        const int8_t * restrict scale = x[i].scales;
-
-        int32_t isum = 0;
-
-        size_t vl = 16;
-
-        vint32m1_t vzero = __riscv_vmv_v_x_i32m1(0, 1);
-
-        // load Q6
-        vuint8mf2_t q6_0 = __riscv_vle8_v_u8mf2(q6, vl);
-        vuint8mf2_t q6_1 = __riscv_vle8_v_u8mf2(q6+16, vl);
-
-        // load qh
-        vuint8mf2_t qh_x = __riscv_vle8_v_u8mf2(qh, vl);
-
-        vuint8mf2_t qh0 = __riscv_vsll_vx_u8mf2(__riscv_vand_vx_u8mf2(qh_x, 0x3, vl), 0x4, vl);
-        qh_x = __riscv_vsrl_vx_u8mf2(qh_x, 0x2, vl);
-        vuint8mf2_t qh1 = __riscv_vsll_vx_u8mf2(__riscv_vand_vx_u8mf2(qh_x, 0x3, vl), 0x4, vl);
-        qh_x = __riscv_vsrl_vx_u8mf2(qh_x, 0x2, vl);
-        vuint8mf2_t qh2 = __riscv_vsll_vx_u8mf2(__riscv_vand_vx_u8mf2(qh_x, 0x3, vl), 0x4, vl);
-        qh_x = __riscv_vsrl_vx_u8mf2(qh_x, 0x2, vl);
-        vuint8mf2_t qh3 = __riscv_vsll_vx_u8mf2(__riscv_vand_vx_u8mf2(qh_x, 0x3, vl), 0x4, vl);
-
-        vuint8mf2_t q6h_0 = __riscv_vor_vv_u8mf2(__riscv_vand_vx_u8mf2(q6_0, 0xF, vl), qh0, vl);
-        vuint8mf2_t q6h_1 = __riscv_vor_vv_u8mf2(__riscv_vand_vx_u8mf2(q6_1, 0xF, vl), qh1, vl);
-        vuint8mf2_t q6h_2 = __riscv_vor_vv_u8mf2(__riscv_vsrl_vx_u8mf2(q6_0, 0x4, vl), qh2, vl);
-        vuint8mf2_t q6h_3 = __riscv_vor_vv_u8mf2(__riscv_vsrl_vx_u8mf2(q6_1, 0x4, vl), qh3, vl);
-
-        vint8mf2_t q6v_0 = __riscv_vsub_vx_i8mf2(__riscv_vreinterpret_v_u8mf2_i8mf2(q6h_0), 32, vl);
-        vint8mf2_t q6v_1 = __riscv_vsub_vx_i8mf2(__riscv_vreinterpret_v_u8mf2_i8mf2(q6h_1), 32, vl);
-        vint8mf2_t q6v_2 = __riscv_vsub_vx_i8mf2(__riscv_vreinterpret_v_u8mf2_i8mf2(q6h_2), 32, vl);
-        vint8mf2_t q6v_3 = __riscv_vsub_vx_i8mf2(__riscv_vreinterpret_v_u8mf2_i8mf2(q6h_3), 32, vl);
-
-        // load Q8 and take product
-        vint16m1_t p0 = __riscv_vwmul_vv_i16m1(q6v_0, __riscv_vle8_v_i8mf2(q8, vl), vl);
-        vint16m1_t p1 = __riscv_vwmul_vv_i16m1(q6v_1, __riscv_vle8_v_i8mf2(q8+16, vl), vl);
-        vint16m1_t p2 = __riscv_vwmul_vv_i16m1(q6v_2, __riscv_vle8_v_i8mf2(q8+32, vl), vl);
-        vint16m1_t p3 = __riscv_vwmul_vv_i16m1(q6v_3, __riscv_vle8_v_i8mf2(q8+48, vl), vl);
-
-        vint32m1_t vs_0 = __riscv_vwredsum_vs_i16m1_i32m1(p0, vzero, vl);
-        vint32m1_t vs_1 = __riscv_vwredsum_vs_i16m1_i32m1(p1, vzero, vl);
-        vint32m1_t vs_2 = __riscv_vwredsum_vs_i16m1_i32m1(p2, vzero, vl);
-        vint32m1_t vs_3 = __riscv_vwredsum_vs_i16m1_i32m1(p3, vzero, vl);
-
-        isum += __riscv_vmv_x_s_i32m1_i32(vs_0) * scale[0];
-        isum += __riscv_vmv_x_s_i32m1_i32(vs_1) * scale[1];
-        isum += __riscv_vmv_x_s_i32m1_i32(vs_2) * scale[2];
-        isum += __riscv_vmv_x_s_i32m1_i32(vs_3) * scale[3];
-
-        sumf += isum * d_all * y[i].d;
-
-    }
-
-    *s = sumf;
-
-#else
-
-    int8_t  aux8[QK_K];
-    int16_t aux16[8];
-    float   sums [8];
-    int32_t aux32[8];
-    memset(sums, 0, 8*sizeof(float));
-
-    float sumf = 0;
-    for (int i = 0; i < nb; ++i) {
-        const uint8_t * restrict q4 = x[i].ql;
-        const uint8_t * restrict qh = x[i].qh;
-        const  int8_t * restrict q8 = y[i].qs;
-        memset(aux32, 0, 8*sizeof(int32_t));
-        int8_t * restrict a = aux8;
-        for (int l = 0; l < 16; ++l) {
-            a[l+ 0] = (int8_t)((q4[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32;
-            a[l+16] = (int8_t)((q4[l+16] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32;
-            a[l+32] = (int8_t)((q4[l+ 0] >>  4) | (((qh[l] >> 4) & 3) << 4)) - 32;
-            a[l+48] = (int8_t)((q4[l+16] >>  4) | (((qh[l] >> 6) & 3) << 4)) - 32;
-        }
-        int is = 0;
-        for (int j = 0; j < QK_K/16; ++j) {
-            int scale = x[i].scales[is++];
-            for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
-            for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
-            q8 += 8; a += 8;
-            for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
-            for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
-            q8 += 8; a += 8;
-        }
-        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
-        for (int l = 0; l < 8; ++l) sums[l] += d * aux32[l];
-    }
-    for (int l = 0; l < 8; ++l) sumf += sums[l];
-    *s = sumf;
-#endif
-}
-
-#endif
-
-#if defined (__AVX2__) || defined (__ARM_NEON)
+#if defined (__AVX2__) || defined (__ARM_NEON) || defined (__POWER9_VECTOR__) || defined(__loongarch_asx)
 static const int8_t keven_signs_q2xs[1024] = {
      1,  1,  1,  1,  1,  1,  1,  1, -1,  1,  1,  1,  1,  1,  1, -1,  1, -1,  1,  1,  1,  1,  1, -1, -1, -1,  1,  1,  1,  1,  1,  1,
      1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1,  1,  1,  1,  1,  1,  1, -1, -1,  1,  1,  1,  1,  1, -1, -1, -1,  1,  1,  1,  1, -1,
@@ -8433,6 +8952,146 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * restrict s, size_t bs, const void
 
     *s = 0.125f * hsum_float_8(accumf);
 
+#elif defined(__POWER9_VECTOR__)
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+    vector float vsumf2 = vec_splats(0.0f);
+    vector float vsumf3 = vec_splats(0.0f);
+
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+
+    for (int i = 0; i < nb; ++i) {
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(y[i].d);
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector signed int vsumi0 = vec_splats((int32_t)0);
+        vector signed int vsumi1 = vec_splats((int32_t)0);
+        vector signed int vsumi2 = vec_splats((int32_t)0);
+        vector signed int vsumi3 = vec_splats((int32_t)0);
+        vector signed int vsumi4 = vec_splats((int32_t)0);
+        vector signed int vsumi5 = vec_splats((int32_t)0);
+        vector signed int vsumi6 = vec_splats((int32_t)0);
+        vector signed int vsumi7 = vec_splats((int32_t)0);
+
+        const uint16_t * restrict q2 = x[i].qs;
+        const int8_t  *  restrict q8 = y[i].qs;
+
+        for (int j = 0; j < QK_K/32; j += 2) {
+            __builtin_prefetch(q2, 0, 1);
+            __builtin_prefetch(q8, 0, 1);
+
+            uint32_t aux32[4];
+            const uint8_t * aux8 = (const uint8_t *)aux32;
+
+            memcpy(aux32, q2, 4*sizeof(uint32_t));
+            q2 += 8;
+
+            vector signed long long aux64x2_0 = {*(const int64_t *)(iq2xxs_grid + aux8[ 0]), *(const int64_t *)(iq2xxs_grid + aux8[ 1])};
+            vector signed long long aux64x2_1 = {*(const int64_t *)(iq2xxs_grid + aux8[ 2]), *(const int64_t *)(iq2xxs_grid + aux8[ 3])};
+            vector signed long long aux64x2_2 = {*(const int64_t *)(iq2xxs_grid + aux8[ 8]), *(const int64_t *)(iq2xxs_grid + aux8[ 9])};
+            vector signed long long aux64x2_3 = {*(const int64_t *)(iq2xxs_grid + aux8[10]), *(const int64_t *)(iq2xxs_grid + aux8[11])};
+
+            vector signed long long vsigns0 = {*(const int64_t *)(signs64 + ((aux32[1] >>  0) & 127)), *(const int64_t *)(signs64 + ((aux32[1] >>  7) & 127))};
+            vector signed long long vsigns1 = {*(const int64_t *)(signs64 + ((aux32[1] >> 14) & 127)), *(const int64_t *)(signs64 + ((aux32[1] >> 21) & 127))};
+            vector signed long long vsigns2 = {*(const int64_t *)(signs64 + ((aux32[3] >>  0) & 127)), *(const int64_t *)(signs64 + ((aux32[3] >>  7) & 127))};
+            vector signed long long vsigns3 = {*(const int64_t *)(signs64 + ((aux32[3] >> 14) & 127)), *(const int64_t *)(signs64 + ((aux32[3] >> 21) & 127))};
+
+            vector signed char q2x0 = (vector signed char)vec_mul((vector signed char)vsigns0, (vector signed char)aux64x2_0);
+            vector signed char q2x1 = (vector signed char)vec_mul((vector signed char)vsigns1, (vector signed char)aux64x2_1);
+            vector signed char q2x2 = (vector signed char)vec_mul((vector signed char)vsigns2, (vector signed char)aux64x2_2);
+            vector signed char q2x3 = (vector signed char)vec_mul((vector signed char)vsigns3, (vector signed char)aux64x2_3);
+
+            vector signed char q8y0 = vec_xl( 0, q8);
+            vector signed char q8y1 = vec_xl(16, q8);
+            vector signed char q8y2 = vec_xl(32, q8);
+            vector signed char q8y3 = vec_xl(48, q8);
+            q8 += 64;
+
+            vector signed short qv0 = vec_add(vec_mule(q2x0, q8y0), vec_mulo(q2x0, q8y0));
+            vector signed short qv1 = vec_add(vec_mule(q2x1, q8y1), vec_mulo(q2x1, q8y1));
+            vector signed short qv2 = vec_add(vec_mule(q2x2, q8y2), vec_mulo(q2x2, q8y2));
+            vector signed short qv3 = vec_add(vec_mule(q2x3, q8y3), vec_mulo(q2x3, q8y3));
+
+            const uint16_t ls0 = aux32[1] >> 28;
+            const uint16_t ls1 = aux32[3] >> 28;
+
+            vector signed short vscales01 = vec_splats((int16_t)(2*ls0+1));
+            vector signed short vscales23 = vec_splats((int16_t)(2*ls1+1));
+
+            vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0);
+            vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1);
+            vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2);
+            vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3);
+            vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4);
+            vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5);
+            vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6);
+            vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7);
+        }
+
+        vsumi0 = vec_add(vsumi0, vsumi4);
+        vsumi1 = vec_add(vsumi1, vsumi5);
+        vsumi2 = vec_add(vsumi2, vsumi6);
+        vsumi3 = vec_add(vsumi3, vsumi7);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+        vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
+        vsumf3 = vec_madd(vec_ctf(vsumi3, 0), vd, vsumf3);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf2);
+    vsumf1 = vec_add(vsumf1, vsumf3);
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = 0.125f * vec_extract(vsumf0, 0);
+
+#elif defined(__loongarch_asx)
+
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+
+    uint32_t aux32[4];
+    const uint8_t * aux8 = (const uint8_t *)aux32;
+
+    __m256 accumf = (__m256)__lasx_xvldi(0);
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint16_t * restrict q2 = x[i].qs;
+        const int8_t   * restrict q8 = y[i].qs;
+        __m256i sumi1 = __lasx_xvldi(0);
+        __m256i sumi2 = __lasx_xvldi(0);
+        for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
+            const __m256i q8_1 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            const __m256i q8_2 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            memcpy(aux32, q2, 4*sizeof(uint32_t)); q2 += 8;
+
+            const __m256i q2_1 = lasx_set_d(iq2xxs_grid[aux8[ 3]], iq2xxs_grid[aux8[ 2]], iq2xxs_grid[aux8[1]], iq2xxs_grid[aux8[0]]);
+            const __m256i q2_2 = lasx_set_d(iq2xxs_grid[aux8[11]], iq2xxs_grid[aux8[10]], iq2xxs_grid[aux8[9]], iq2xxs_grid[aux8[8]]);
+            const __m256i s2_1 = lasx_set_d(signs64[(aux32[1] >> 21) & 127], signs64[(aux32[1] >> 14) & 127],
+                                                   signs64[(aux32[1] >>  7) & 127], signs64[(aux32[1] >>  0) & 127]);
+            const __m256i s2_2 = lasx_set_d(signs64[(aux32[3] >> 21) & 127], signs64[(aux32[3] >> 14) & 127],
+                                                   signs64[(aux32[3] >>  7) & 127], signs64[(aux32[3] >>  0) & 127]);
+            const __m256i q8s_1 = __lasx_xvsigncov_b(s2_1, q8_1);
+            const __m256i q8s_2 = __lasx_xvsigncov_b(s2_2, q8_2);
+            const __m256i dot1  = lasx_maddubs_h(q2_1, q8s_1);
+            const __m256i dot2  = lasx_maddubs_h(q2_2, q8s_2);
+            const uint16_t ls1 = aux32[1] >> 28;
+            const uint16_t ls2 = aux32[3] >> 28;
+            const __m256i p1 = lasx_madd_h(dot1, __lasx_xvreplgr2vr_h(2*ls1+1));
+            const __m256i p2 = lasx_madd_h(dot2, __lasx_xvreplgr2vr_h(2*ls2+1));
+            sumi1 = __lasx_xvadd_w(sumi1, p1);
+            sumi2 = __lasx_xvadd_w(sumi2, p2);
+        }
+
+        accumf = __lasx_xvfmadd_s(__lasx_xvreplfr2vr_s(d), __lasx_xvffint_s_w(__lasx_xvadd_w(sumi1, sumi2)), accumf);
+    }
+
+    *s = 0.125f * hsum_float_8(accumf);
+
 #else
 
     uint32_t aux32[2];
@@ -8551,64 +9210,6 @@ void ggml_vec_dot_iq2_xs_q8_K(int n, float * restrict s, size_t bs, const void *
     const __m256i block_sign_shuffle_1 = _mm256_loadu_si256((const __m256i*)block_sign_shuffle_mask_1);
     const __m256i block_sign_shuffle_2 = _mm256_loadu_si256((const __m256i*)block_sign_shuffle_mask_2);
 
-#if QK_K == 64
-    static const uint8_t k_bit_helper[16] = {
-        0x00, 0x80, 0x80, 0x00, 0x80, 0x00, 0x00, 0x80, 0x80, 0x00, 0x00, 0x80, 0x00, 0x80, 0x80, 0x00,
-    };
-    const __m128i bit_helper = _mm_loadu_si128((const __m128i*)k_bit_helper);
-    const __m128i m511 = _mm_set1_epi16(511);
-    typedef union {
-        __m128i vec_index;
-        uint16_t index[8];
-    } index_t;
-
-    index_t idx;
-    __m256 accumf = _mm256_setzero_ps();
-    for (int i = 0; i < nb; ++i) {
-        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
-        const __m128i q2_data = _mm_loadu_si128((const __m128i*)x[i].qs);
-        idx.vec_index = _mm_and_si128(q2_data, m511);
-
-        const __m128i partial_sign_bits = _mm_srli_epi16(q2_data, 9);
-        const __m128i partial_sign_bits_upper = _mm_srli_epi16(q2_data, 13);
-        const __m128i partial_sign_bits_for_counting = _mm_xor_si128(partial_sign_bits, partial_sign_bits_upper);
-
-        const __m128i odd_bits = _mm_shuffle_epi8(bit_helper, partial_sign_bits_for_counting);
-        const __m128i full_sign_bits = _mm_or_si128(partial_sign_bits, odd_bits);
-        const __m256i full_signs = MM256_SET_M128I(full_sign_bits, full_sign_bits);
-
-        const __m256i q8_1 = _mm256_loadu_si256((const __m256i *)y[i].qs);
-        const __m256i q8_2 = _mm256_loadu_si256((const __m256i *)(y[i].qs+32));
-
-        const __m256i q2_1 = _mm256_set_epi64x(iq2xs_grid[idx.index[3]], iq2xs_grid[idx.index[2]],
-                                               iq2xs_grid[idx.index[1]], iq2xs_grid[idx.index[0]]);
-        const __m256i q2_2 = _mm256_set_epi64x(iq2xs_grid[idx.index[7]], iq2xs_grid[idx.index[6]],
-                                               iq2xs_grid[idx.index[5]], iq2xs_grid[idx.index[4]]);
-
-        __m256i signs;
-        signs = _mm256_shuffle_epi8(full_signs, block_sign_shuffle_1);
-        signs = _mm256_cmpeq_epi8(_mm256_and_si256(signs, bit_selector_mask), bit_selector_mask);
-        const __m256i q8s_1 = _mm256_sign_epi8(q8_1, _mm256_or_si256(signs, mone));
-
-        signs = _mm256_shuffle_epi8(full_signs, block_sign_shuffle_2);
-        signs = _mm256_cmpeq_epi8(_mm256_and_si256(signs, bit_selector_mask), bit_selector_mask);
-        const __m256i q8s_2 = _mm256_sign_epi8(q8_2, _mm256_or_si256(signs, mone));
-
-        const __m256i dot1  = _mm256_maddubs_epi16(q2_1, q8s_1);
-        const __m256i dot2  = _mm256_maddubs_epi16(q2_2, q8s_2);
-
-        const __m256i sc1 = MM256_SET_M128I(_mm_set1_epi16(2*(x[i].scales[0] >> 4)+1), _mm_set1_epi16(2*(x[i].scales[0] & 0xf)+1));
-        const __m256i sc2 = MM256_SET_M128I(_mm_set1_epi16(2*(x[i].scales[1] >> 4)+1), _mm_set1_epi16(2*(x[i].scales[1] & 0xf)+1));
-
-        const __m256i sum = _mm256_add_epi32(_mm256_madd_epi16(sc1, dot1), _mm256_madd_epi16(sc2, dot2));
-
-        accumf = _mm256_fmadd_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(sum), accumf);
-
-    }
-
-    *s = 0.125f * hsum_float_8(accumf);
-#else
-
     static const uint8_t k_bit_helper[32] = {
         0x00, 0x80, 0x80, 0x00, 0x80, 0x00, 0x00, 0x80, 0x80, 0x00, 0x00, 0x80, 0x00, 0x80, 0x80, 0x00,
         0x00, 0x80, 0x80, 0x00, 0x80, 0x00, 0x00, 0x80, 0x80, 0x00, 0x00, 0x80, 0x00, 0x80, 0x80, 0x00,
@@ -8706,8 +9307,221 @@ void ggml_vec_dot_iq2_xs_q8_K(int n, float * restrict s, size_t bs, const void *
     }
 
     *s = 0.125f * hsum_float_8(accumf);
-#endif
+#elif defined(__loongarch_asx)
 
+    const __m256i mone = __lasx_xvreplgr2vr_b(1);
+    static const char block_sign_shuffle_mask_1[32] = {
+        0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02,
+        0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06,
+    };
+    static const char block_sign_shuffle_mask_2[32] = {
+        0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a,
+        0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e,
+    };
+    static const uint8_t bit_selector_mask_bytes[32] = {
+        0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
+        0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
+    };
+
+    const __m256i bit_selector_mask = __lasx_xvld((const __m256i*)bit_selector_mask_bytes, 0);
+    const __m256i block_sign_shuffle_1 = __lasx_xvld((const __m256i*)block_sign_shuffle_mask_1, 0);
+    const __m256i block_sign_shuffle_2 = __lasx_xvld((const __m256i*)block_sign_shuffle_mask_2, 0);
+
+    static const uint8_t k_bit_helper[32] = {
+        0x00, 0x80, 0x80, 0x00, 0x80, 0x00, 0x00, 0x80, 0x80, 0x00, 0x00, 0x80, 0x00, 0x80, 0x80, 0x00,
+        0x00, 0x80, 0x80, 0x00, 0x80, 0x00, 0x00, 0x80, 0x80, 0x00, 0x00, 0x80, 0x00, 0x80, 0x80, 0x00,
+    };
+    const __m256i bit_helper = __lasx_xvld((const __m256i*)k_bit_helper, 0);
+    const __m256i m511 = __lasx_xvreplgr2vr_h(511);
+    const __m128i m4 = __lsx_vreplgr2vr_b(0xf);
+    const __m128i m1 = __lsx_vreplgr2vr_b(1);
+
+    uint64_t aux64;
+
+    // somewhat hacky, but gives a significant boost in performance
+    __m256i aux_gindex;
+    const uint16_t * gindex = (const uint16_t *)&aux_gindex;
+
+    __m256 accumf = (__m256)__lasx_xvldi(0);
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint16_t * restrict q2 = x[i].qs;
+        const int8_t   * restrict q8 = y[i].qs;
+
+        memcpy(&aux64, x[i].scales, 8);
+        __m128i stmp = __lsx_vreplgr2vr_d(aux64);
+        stmp = __lsx_vilvl_b( __lsx_vand_v(__lsx_vsrli_h(stmp, 4), m4), __lsx_vand_v(stmp, m4));
+        const __m128i scales = __lsx_vadd_b(__lsx_vslli_h(stmp, 1), m1);
+
+        __m256i sumi1 = __lasx_xvldi(0);
+        __m256i sumi2 = __lasx_xvldi(0);
+        for (int ib32 = 0; ib32 < QK_K/32; ib32 += 4) {
+
+            const __m256i q2_data = __lasx_xvld((const __m256i*)q2, 0);  q2 += 16;
+            aux_gindex = __lasx_xvand_v(q2_data, m511);
+
+            const __m256i partial_sign_bits = __lasx_xvsrli_h(q2_data, 9);
+            const __m256i partial_sign_bits_upper = __lasx_xvsrli_h(q2_data, 13);
+            const __m256i partial_sign_bits_for_counting = __lasx_xvxor_v(partial_sign_bits, partial_sign_bits_upper);
+
+            const __m256i odd_bits = lasx_shuffle_b(bit_helper, partial_sign_bits_for_counting);
+            const __m256i full_sign_bits = __lasx_xvor_v(partial_sign_bits, odd_bits);
+
+            const __m256i q8_1 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            const __m256i q8_2 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            const __m256i q8_3 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            const __m256i q8_4 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+
+            const __m256i q2_1 = lasx_set_d(iq2xs_grid[gindex[ 3]], iq2xs_grid[gindex[ 2]],
+                                                   iq2xs_grid[gindex[ 1]], iq2xs_grid[gindex[ 0]]);
+            const __m256i q2_2 = lasx_set_d(iq2xs_grid[gindex[ 7]], iq2xs_grid[gindex[ 6]],
+                                                   iq2xs_grid[gindex[ 5]], iq2xs_grid[gindex[ 4]]);
+            const __m256i q2_3 = lasx_set_d(iq2xs_grid[gindex[11]], iq2xs_grid[gindex[10]],
+                                                   iq2xs_grid[gindex[ 9]], iq2xs_grid[gindex[ 8]]);
+            const __m256i q2_4 = lasx_set_d(iq2xs_grid[gindex[15]], iq2xs_grid[gindex[14]],
+                                                   iq2xs_grid[gindex[13]], iq2xs_grid[gindex[12]]);
+
+            const __m128i full_signs_l = lasx_extracti128(full_sign_bits, 0);
+            const __m128i full_signs_h = lasx_extracti128(full_sign_bits, 1);
+            const __m256i full_signs_1 = lasx_insertf128(full_signs_l, full_signs_l);
+            const __m256i full_signs_2 = lasx_insertf128(full_signs_h, full_signs_h);
+
+            __m256i signs;
+            signs = lasx_shuffle_b(full_signs_1, block_sign_shuffle_1);
+            signs = __lasx_xvseq_b(__lasx_xvand_v(signs, bit_selector_mask), bit_selector_mask);
+            const __m256i q8s_1 = __lasx_xvsigncov_b(__lasx_xvor_v(signs, mone), q8_1);
+
+            signs = lasx_shuffle_b(full_signs_1, block_sign_shuffle_2);
+            signs = __lasx_xvseq_b(__lasx_xvand_v(signs, bit_selector_mask), bit_selector_mask);
+            const __m256i q8s_2 = __lasx_xvsigncov_b(__lasx_xvor_v(signs, mone), q8_2);
+
+            signs = lasx_shuffle_b(full_signs_2, block_sign_shuffle_1);
+            signs = __lasx_xvseq_b(__lasx_xvand_v(signs, bit_selector_mask), bit_selector_mask);
+            const __m256i q8s_3 = __lasx_xvsigncov_b(__lasx_xvor_v(signs, mone), q8_3);
+
+            signs = lasx_shuffle_b(full_signs_2, block_sign_shuffle_2);
+            signs = __lasx_xvseq_b(__lasx_xvand_v(signs, bit_selector_mask), bit_selector_mask);
+            const __m256i q8s_4 = __lasx_xvsigncov_b(__lasx_xvor_v(signs, mone), q8_4);
+
+            const __m256i dot1  = lasx_maddubs_h(q2_1, q8s_1);
+            const __m256i dot2  = lasx_maddubs_h(q2_2, q8s_2);
+            const __m256i dot3  = lasx_maddubs_h(q2_3, q8s_3);
+            const __m256i dot4  = lasx_maddubs_h(q2_4, q8s_4);
+
+            const __m256i sc1 = lasx_ext8_16(lsx_shuffle_b(scales, get_scale_shuffle(ib32+0)));
+            const __m256i sc2 = lasx_ext8_16(lsx_shuffle_b(scales, get_scale_shuffle(ib32+1)));
+            const __m256i sc3 = lasx_ext8_16(lsx_shuffle_b(scales, get_scale_shuffle(ib32+2)));
+            const __m256i sc4 = lasx_ext8_16(lsx_shuffle_b(scales, get_scale_shuffle(ib32+3)));
+
+            sumi1 = __lasx_xvadd_w(sumi1, lasx_madd_h(dot1, sc1));
+            sumi2 = __lasx_xvadd_w(sumi2, lasx_madd_h(dot2, sc2));
+            sumi1 = __lasx_xvadd_w(sumi1, lasx_madd_h(dot3, sc3));
+            sumi2 = __lasx_xvadd_w(sumi2, lasx_madd_h(dot4, sc4));
+        }
+
+        accumf = __lasx_xvfmadd_s(__lasx_xvreplfr2vr_s(d), __lasx_xvffint_s_w(__lasx_xvadd_w(sumi1, sumi2)), accumf);
+
+    }
+
+    *s = 0.125f * hsum_float_8(accumf);
+#elif defined(__POWER9_VECTOR__)
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+    vector float vsumf2 = vec_splats(0.0f);
+    vector float vsumf3 = vec_splats(0.0f);
+
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+
+    for (int i = 0; i < nb; ++i) {
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(y[i].d);
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector signed int vsumi0 = vec_splats((int32_t)0);
+        vector signed int vsumi1 = vec_splats((int32_t)0);
+        vector signed int vsumi2 = vec_splats((int32_t)0);
+        vector signed int vsumi3 = vec_splats((int32_t)0);
+        vector signed int vsumi4 = vec_splats((int32_t)0);
+        vector signed int vsumi5 = vec_splats((int32_t)0);
+        vector signed int vsumi6 = vec_splats((int32_t)0);
+        vector signed int vsumi7 = vec_splats((int32_t)0);
+
+        const uint16_t * restrict q2 = x[i].qs;
+        const uint8_t  * restrict sc = x[i].scales;
+        const int8_t  *  restrict q8 = y[i].qs;
+
+        for (int j = 0; j < QK_K/64; ++j) {
+            __builtin_prefetch(q2, 0, 1);
+            __builtin_prefetch(q8, 0, 1);
+
+            vector signed long long aux64x2_0 = {*(const int64_t *)(iq2xs_grid + (q2[0] & 511)), *(const int64_t *)(iq2xs_grid + (q2[1] & 511))};
+            vector signed long long aux64x2_1 = {*(const int64_t *)(iq2xs_grid + (q2[2] & 511)), *(const int64_t *)(iq2xs_grid + (q2[3] & 511))};
+            vector signed long long aux64x2_2 = {*(const int64_t *)(iq2xs_grid + (q2[4] & 511)), *(const int64_t *)(iq2xs_grid + (q2[5] & 511))};
+            vector signed long long aux64x2_3 = {*(const int64_t *)(iq2xs_grid + (q2[6] & 511)), *(const int64_t *)(iq2xs_grid + (q2[7] & 511))};
+
+            vector signed long long vsigns0 = {*(const int64_t *)(signs64 + ((q2[0] >> 9))), *(const int64_t *)(signs64 + ((q2[1] >> 9)))};
+            vector signed long long vsigns1 = {*(const int64_t *)(signs64 + ((q2[2] >> 9))), *(const int64_t *)(signs64 + ((q2[3] >> 9)))};
+            vector signed long long vsigns2 = {*(const int64_t *)(signs64 + ((q2[4] >> 9))), *(const int64_t *)(signs64 + ((q2[5] >> 9)))};
+            vector signed long long vsigns3 = {*(const int64_t *)(signs64 + ((q2[6] >> 9))), *(const int64_t *)(signs64 + ((q2[7] >> 9)))};
+            q2 += 8;
+
+            vector signed char q2x0 = (vector signed char)vec_mul((vector signed char)vsigns0, (vector signed char)aux64x2_0);
+            vector signed char q2x1 = (vector signed char)vec_mul((vector signed char)vsigns1, (vector signed char)aux64x2_1);
+            vector signed char q2x2 = (vector signed char)vec_mul((vector signed char)vsigns2, (vector signed char)aux64x2_2);
+            vector signed char q2x3 = (vector signed char)vec_mul((vector signed char)vsigns3, (vector signed char)aux64x2_3);
+
+            vector signed char q8y0 = vec_xl( 0, q8);
+            vector signed char q8y1 = vec_xl(16, q8);
+            vector signed char q8y2 = vec_xl(32, q8);
+            vector signed char q8y3 = vec_xl(48, q8);
+            q8 += 64;
+
+            vector signed short qv0 = vec_add(vec_mule(q2x0, q8y0), vec_mulo(q2x0, q8y0));
+            vector signed short qv1 = vec_add(vec_mule(q2x1, q8y1), vec_mulo(q2x1, q8y1));
+            vector signed short qv2 = vec_add(vec_mule(q2x2, q8y2), vec_mulo(q2x2, q8y2));
+            vector signed short qv3 = vec_add(vec_mule(q2x3, q8y3), vec_mulo(q2x3, q8y3));
+
+            const uint16_t ls0 = (uint16_t)(sc[0] & 0xf);
+            const uint16_t ls1 = (uint16_t)(sc[0] >>  4);
+            const uint16_t ls2 = (uint16_t)(sc[1] & 0xf);
+            const uint16_t ls3 = (uint16_t)(sc[1] >>  4);
+            sc += 2;
+
+            vector signed short vscales0 = vec_splats((int16_t)(2*ls0+1));
+            vector signed short vscales1 = vec_splats((int16_t)(2*ls1+1));
+            vector signed short vscales2 = vec_splats((int16_t)(2*ls2+1));
+            vector signed short vscales3 = vec_splats((int16_t)(2*ls3+1));
+
+            vsumi0 = vec_add(vec_mule(qv0, vscales0), vsumi0);
+            vsumi1 = vec_add(vec_mule(qv1, vscales1), vsumi1);
+            vsumi2 = vec_add(vec_mule(qv2, vscales2), vsumi2);
+            vsumi3 = vec_add(vec_mule(qv3, vscales3), vsumi3);
+            vsumi4 = vec_add(vec_mulo(qv0, vscales0), vsumi4);
+            vsumi5 = vec_add(vec_mulo(qv1, vscales1), vsumi5);
+            vsumi6 = vec_add(vec_mulo(qv2, vscales2), vsumi6);
+            vsumi7 = vec_add(vec_mulo(qv3, vscales3), vsumi7);
+        }
+
+        vsumi0 = vec_add(vsumi0, vsumi4);
+        vsumi1 = vec_add(vsumi1, vsumi5);
+        vsumi2 = vec_add(vsumi2, vsumi6);
+        vsumi3 = vec_add(vsumi3, vsumi7);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+        vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
+        vsumf3 = vec_madd(vec_ctf(vsumi3, 0), vd, vsumf3);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf2);
+    vsumf1 = vec_add(vsumf1, vsumf3);
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = 0.125f * vec_extract(vsumf0, 0);
 #else
 
     float sumf = 0.f;
@@ -8908,6 +9722,199 @@ void ggml_vec_dot_iq2_s_q8_K(int n, float * restrict s, size_t bs, const void *
 
     *s = 0.125f * hsum_float_8(accumf);
 
+#elif defined(__POWER9_VECTOR__)
+    static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
+                                        0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03
+    };
+
+    static const uint8_t k_mask2[16] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,};
+
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+    vector float vsumf2 = vec_splats(0.0f);
+    vector float vsumf3 = vec_splats(0.0f);
+
+    const vector unsigned char mask0 = vec_xl( 0, k_mask1);
+    const vector unsigned char mask1 = vec_xl(16, k_mask1);
+    const vector signed char mask2 = (vector signed char)vec_xl( 0, k_mask2);
+
+    for (int i = 0; i < nb; ++i) {
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(y[i].d);
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector signed int vsumi0 = vec_splats((int32_t)0);
+        vector signed int vsumi1 = vec_splats((int32_t)0);
+        vector signed int vsumi2 = vec_splats((int32_t)0);
+        vector signed int vsumi3 = vec_splats((int32_t)0);
+        vector signed int vsumi4 = vec_splats((int32_t)0);
+        vector signed int vsumi5 = vec_splats((int32_t)0);
+        vector signed int vsumi6 = vec_splats((int32_t)0);
+        vector signed int vsumi7 = vec_splats((int32_t)0);
+
+        const uint8_t *  restrict q2 = x[i].qs;
+        const uint8_t *  restrict qh = x[i].qh;
+        const uint16_t * restrict signs = (const uint16_t *)(x[i].qs + QK_K/8);
+        const uint8_t *  restrict sc = x[i].scales;
+        const int8_t  *  restrict q8 = y[i].qs;
+
+        for (int j = 0; j < QK_K/32; j += 2) {
+            __builtin_prefetch(q2, 0, 1);
+            __builtin_prefetch(q8, 0, 1);
+
+            vector signed long long aux64x2_0 = {*(const int64_t *)(iq2s_grid + (q2[0] | ((qh[0] << 8) & 0x300))), *(const int64_t *)(iq2s_grid + (q2[1] | ((qh[0] << 6) & 0x300)))};
+            vector signed long long aux64x2_1 = {*(const int64_t *)(iq2s_grid + (q2[2] | ((qh[0] << 4) & 0x300))), *(const int64_t *)(iq2s_grid + (q2[3] | ((qh[0] << 2) & 0x300)))};
+            vector signed long long aux64x2_2 = {*(const int64_t *)(iq2s_grid + (q2[4] | ((qh[1] << 8) & 0x300))), *(const int64_t *)(iq2s_grid + (q2[5] | ((qh[1] << 6) & 0x300)))};
+            vector signed long long aux64x2_3 = {*(const int64_t *)(iq2s_grid + (q2[6] | ((qh[1] << 4) & 0x300))), *(const int64_t *)(iq2s_grid + (q2[7] | ((qh[1] << 2) & 0x300)))};
+            q2 += 8;
+            qh += 2;
+
+            vector signed char vsigns01 = (vector signed char)vec_splats(*(const uint32_t *)&signs[0]);
+            vector signed char vsigns23 = (vector signed char)vec_splats(*(const uint32_t *)&signs[2]);
+            signs += 4;
+
+            vector signed char vsigns0 = vec_perm(vsigns01, vsigns01, mask0);
+            vector signed char vsigns1 = vec_perm(vsigns01, vsigns01, mask1);
+            vector signed char vsigns2 = vec_perm(vsigns23, vsigns23, mask0);
+            vector signed char vsigns3 = vec_perm(vsigns23, vsigns23, mask1);
+
+            vsigns0 = (vector signed char)vec_cmpeq(vec_and(vsigns0, mask2), mask2);
+            vsigns1 = (vector signed char)vec_cmpeq(vec_and(vsigns1, mask2), mask2);
+            vsigns2 = (vector signed char)vec_cmpeq(vec_and(vsigns2, mask2), mask2);
+            vsigns3 = (vector signed char)vec_cmpeq(vec_and(vsigns3, mask2), mask2);
+
+            vector signed char q2x0 = vec_sub(vec_xor(vsigns0, (vector signed char)aux64x2_0), vsigns0);
+            vector signed char q2x1 = vec_sub(vec_xor(vsigns1, (vector signed char)aux64x2_1), vsigns1);
+            vector signed char q2x2 = vec_sub(vec_xor(vsigns2, (vector signed char)aux64x2_2), vsigns2);
+            vector signed char q2x3 = vec_sub(vec_xor(vsigns3, (vector signed char)aux64x2_3), vsigns3);
+
+            vector signed char q8y0 = vec_xl( 0, q8);
+            vector signed char q8y1 = vec_xl(16, q8);
+            vector signed char q8y2 = vec_xl(32, q8);
+            vector signed char q8y3 = vec_xl(48, q8);
+            q8 += 64;
+
+            vector signed short qv0 = vec_add(vec_mule(q2x0, q8y0), vec_mulo(q2x0, q8y0));
+            vector signed short qv1 = vec_add(vec_mule(q2x1, q8y1), vec_mulo(q2x1, q8y1));
+            vector signed short qv2 = vec_add(vec_mule(q2x2, q8y2), vec_mulo(q2x2, q8y2));
+            vector signed short qv3 = vec_add(vec_mule(q2x3, q8y3), vec_mulo(q2x3, q8y3));
+
+            const uint16_t ls0 = (uint16_t)(sc[0] & 0xf);
+            const uint16_t ls1 = (uint16_t)(sc[0] >>  4);
+            const uint16_t ls2 = (uint16_t)(sc[1] & 0xf);
+            const uint16_t ls3 = (uint16_t)(sc[1] >>  4);
+            sc += 2;
+
+            vector signed short vscales0 = vec_splats((int16_t)(2*ls0+1));
+            vector signed short vscales1 = vec_splats((int16_t)(2*ls1+1));
+            vector signed short vscales2 = vec_splats((int16_t)(2*ls2+1));
+            vector signed short vscales3 = vec_splats((int16_t)(2*ls3+1));
+
+            vsumi0 = vec_add(vec_mule(qv0, vscales0), vsumi0);
+            vsumi1 = vec_add(vec_mule(qv1, vscales1), vsumi1);
+            vsumi2 = vec_add(vec_mule(qv2, vscales2), vsumi2);
+            vsumi3 = vec_add(vec_mule(qv3, vscales3), vsumi3);
+            vsumi4 = vec_add(vec_mulo(qv0, vscales0), vsumi4);
+            vsumi5 = vec_add(vec_mulo(qv1, vscales1), vsumi5);
+            vsumi6 = vec_add(vec_mulo(qv2, vscales2), vsumi6);
+            vsumi7 = vec_add(vec_mulo(qv3, vscales3), vsumi7);
+        }
+
+        vsumi0 = vec_add(vsumi0, vsumi4);
+        vsumi1 = vec_add(vsumi1, vsumi5);
+        vsumi2 = vec_add(vsumi2, vsumi6);
+        vsumi3 = vec_add(vsumi3, vsumi7);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+        vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
+        vsumf3 = vec_madd(vec_ctf(vsumi3, 0), vd, vsumf3);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf2);
+    vsumf1 = vec_add(vsumf1, vsumf3);
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = 0.125f * vec_extract(vsumf0, 0);
+
+#elif defined(__loongarch_asx)
+
+   static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
+                                       0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03
+   };
+
+    static const uint8_t k_mask2[32] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
+                                        0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
+    };
+
+
+    const __m128i m4 = __lsx_vreplgr2vr_b(0xf);
+    const __m128i m1 = __lsx_vreplgr2vr_b(1);
+
+    const __m256i mask1 = __lasx_xvld((const __m256i*)k_mask1, 0);
+    const __m256i mask2 = __lasx_xvld((const __m256i*)k_mask2, 0);
+    uint64_t aux64;
+
+    __m256 accumf = (__m256)__lasx_xvldi(0);
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint8_t * restrict qs = x[i].qs;
+        const uint8_t * restrict qh = x[i].qh;
+        const uint16_t * restrict signs = (const uint16_t *)(x[i].qs + QK_K/8);
+        const int8_t  * restrict q8 = y[i].qs;
+
+        __m128i tmp1;
+        memcpy(&aux64, x[i].scales, 8);
+        tmp1 = __lsx_vinsgr2vr_d(tmp1, aux64, 0);
+        tmp1 = __lsx_vinsgr2vr_d(tmp1, aux64 >> 4, 1);
+        const __m128i scales8 = __lsx_vadd_b(__lsx_vslli_h(__lsx_vand_v(tmp1, m4), 1), m1);
+        const __m256i scales16 = lasx_ext8_16(scales8); // 0 2 4 6 8 10 12 14 1 3 5 7 9 11 13 15
+
+        __m256i sumi1 = __lasx_xvldi(0);
+        __m256i sumi2 = __lasx_xvldi(0);
+        for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
+            const __m256i q8_1 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            const __m256i q8_2 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            const __m256i q2_1 = lasx_set_d(iq2s_grid[qs[3] | ((qh[ib32+0] << 2) & 0x300)],
+                                                   iq2s_grid[qs[2] | ((qh[ib32+0] << 4) & 0x300)],
+                                                   iq2s_grid[qs[1] | ((qh[ib32+0] << 6) & 0x300)],
+                                                   iq2s_grid[qs[0] | ((qh[ib32+0] << 8) & 0x300)]);
+            const __m256i q2_2 = lasx_set_d(iq2s_grid[qs[7] | ((qh[ib32+1] << 2) & 0x300)],
+                                                   iq2s_grid[qs[6] | ((qh[ib32+1] << 4) & 0x300)],
+                                                   iq2s_grid[qs[5] | ((qh[ib32+1] << 6) & 0x300)],
+                                                   iq2s_grid[qs[4] | ((qh[ib32+1] << 8) & 0x300)]);
+            qs += 8;
+
+            __m256i aux256 = __lasx_xvreplgr2vr_w(signs[0] | ((uint32_t) signs[1] << 16));
+            aux256 = __lasx_xvand_v(lasx_shuffle_b(aux256,mask1), mask2);
+            const __m256i s2_1 = __lasx_xvseq_b(aux256, mask2);
+            const __m256i q8s_1 = __lasx_xvsub_b(__lasx_xvxor_v(s2_1, q8_1), s2_1);
+
+            aux256 = __lasx_xvreplgr2vr_w(signs[2] | ((uint32_t) signs[3] << 16));
+            aux256 = __lasx_xvand_v(lasx_shuffle_b(aux256,mask1), mask2);
+            const __m256i s2_2 = __lasx_xvseq_b(aux256, mask2);
+            const __m256i q8s_2 = __lasx_xvsub_b(__lasx_xvxor_v(s2_2, q8_2), s2_2);
+
+            signs += 4;
+
+            const __m256i dot1  = lasx_maddubs_h(q2_1, q8s_1); // blocks 2*ib32+0, 2*ib32+1
+            const __m256i dot2  = lasx_maddubs_h(q2_2, q8s_2); // blocks 2*ib32+2, 2*ib32+3
+
+            const __m256i p1 = lasx_madd_h(dot1, lasx_shuffle_b(scales16, get_scale_shuffle_k4(ib32+0)));
+            const __m256i p2 = lasx_madd_h(dot2, lasx_shuffle_b(scales16, get_scale_shuffle_k4(ib32+1)));
+            sumi1 = __lasx_xvadd_w(sumi1, p1);
+            sumi2 = __lasx_xvadd_w(sumi2, p2);
+        }
+
+        accumf = __lasx_xvfmadd_s(__lasx_xvreplfr2vr_s(d), __lasx_xvffint_s_w(__lasx_xvadd_w(sumi1, sumi2)), accumf);
+    }
+
+    *s = 0.125f * hsum_float_8(accumf);
+
 #else
 
     float sumf = 0;
@@ -9052,6 +10059,149 @@ void ggml_vec_dot_iq3_xxs_q8_K(int n, float * restrict s, size_t bs, const void
 
     *s = 0.25f * hsum_float_8(accumf);
 
+#elif defined(__POWER9_VECTOR__)
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+    vector float vsumf2 = vec_splats(0.0f);
+    vector float vsumf3 = vec_splats(0.0f);
+
+    for (int i = 0; i < nb; ++i) {
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(y[i].d);
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector signed int vsumi0 = vec_splats((int32_t)0);
+        vector signed int vsumi1 = vec_splats((int32_t)0);
+        vector signed int vsumi2 = vec_splats((int32_t)0);
+        vector signed int vsumi3 = vec_splats((int32_t)0);
+        vector signed int vsumi4 = vec_splats((int32_t)0);
+        vector signed int vsumi5 = vec_splats((int32_t)0);
+        vector signed int vsumi6 = vec_splats((int32_t)0);
+        vector signed int vsumi7 = vec_splats((int32_t)0);
+
+        const uint8_t * restrict q3 = x[i].qs;
+        const uint32_t * restrict signs = (const uint32_t *)(x[i].qs + QK_K/4);
+        const int8_t  * restrict q8 = y[i].qs;
+
+#pragma GCC unroll 1
+        for (int j = 0; j < QK_K/32; j += 2) {
+            __builtin_prefetch(q3, 0, 1);
+            __builtin_prefetch(q8, 0, 1);
+
+            vector unsigned int aux32x4_0 = {iq3xxs_grid[q3[ 0]], iq3xxs_grid[q3[ 1]], iq3xxs_grid[q3[ 2]], iq3xxs_grid[q3[ 3]]};
+            vector unsigned int aux32x4_1 = {iq3xxs_grid[q3[ 4]], iq3xxs_grid[q3[ 5]], iq3xxs_grid[q3[ 6]], iq3xxs_grid[q3[ 7]]};
+            vector unsigned int aux32x4_2 = {iq3xxs_grid[q3[ 8]], iq3xxs_grid[q3[ 9]], iq3xxs_grid[q3[10]], iq3xxs_grid[q3[11]]};
+            vector unsigned int aux32x4_3 = {iq3xxs_grid[q3[12]], iq3xxs_grid[q3[13]], iq3xxs_grid[q3[14]], iq3xxs_grid[q3[15]]};
+            q3 += 16;
+
+            vector unsigned long long aux64x2_0 = {(uint64_t)(signs64[(signs[0] >>  0) & 127]), (uint64_t)(signs64[(signs[0] >>  7) & 127])};
+            vector unsigned long long aux64x2_1 = {(uint64_t)(signs64[(signs[0] >> 14) & 127]), (uint64_t)(signs64[(signs[0] >> 21) & 127])};
+            vector unsigned long long aux64x2_2 = {(uint64_t)(signs64[(signs[1] >>  0) & 127]), (uint64_t)(signs64[(signs[1] >>  7) & 127])};
+            vector unsigned long long aux64x2_3 = {(uint64_t)(signs64[(signs[1] >> 14) & 127]), (uint64_t)(signs64[(signs[1] >> 21) & 127])};
+
+            vector signed char q3x0 = vec_mul((vector signed char)aux64x2_0, (vector signed char)aux32x4_0);
+            vector signed char q3x1 = vec_mul((vector signed char)aux64x2_1, (vector signed char)aux32x4_1);
+            vector signed char q3x2 = vec_mul((vector signed char)aux64x2_2, (vector signed char)aux32x4_2);
+            vector signed char q3x3 = vec_mul((vector signed char)aux64x2_3, (vector signed char)aux32x4_3);
+
+            vector signed char q8y0 = vec_xl( 0, q8);
+            vector signed char q8y1 = vec_xl(16, q8);
+            vector signed char q8y2 = vec_xl(32, q8);
+            vector signed char q8y3 = vec_xl(48, q8);
+            q8 += 64;
+
+            vector signed short qv0 = vec_add(vec_mule(q3x0, q8y0), vec_mulo(q3x0, q8y0));
+            vector signed short qv1 = vec_add(vec_mule(q3x1, q8y1), vec_mulo(q3x1, q8y1));
+            vector signed short qv2 = vec_add(vec_mule(q3x2, q8y2), vec_mulo(q3x2, q8y2));
+            vector signed short qv3 = vec_add(vec_mule(q3x3, q8y3), vec_mulo(q3x3, q8y3));
+
+            const uint16_t ls0 = (uint16_t)(signs[0] >> 28);
+            const uint16_t ls1 = (uint16_t)(signs[1] >> 28);
+            signs += 2;
+
+            vector signed short vscales01 = (vector signed short)vec_splats((uint16_t)(2*ls0+1));
+            vector signed short vscales23 = (vector signed short)vec_splats((uint16_t)(2*ls1+1));
+
+            vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0);
+            vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1);
+            vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2);
+            vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3);
+            vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4);
+            vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5);
+            vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6);
+            vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7);
+        }
+
+        vsumi0 = vec_add(vsumi0, vsumi4);
+        vsumi1 = vec_add(vsumi1, vsumi5);
+        vsumi2 = vec_add(vsumi2, vsumi6);
+        vsumi3 = vec_add(vsumi3, vsumi7);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+        vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
+        vsumf3 = vec_madd(vec_ctf(vsumi3, 0), vd, vsumf3);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf2);
+    vsumf1 = vec_add(vsumf1, vsumf3);
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = 0.25f * vec_extract(vsumf0, 0);
+
+#elif defined(__loongarch_asx)
+
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+
+    uint32_t aux32[2];
+
+    __m256 accumf = (__m256)__lasx_xvldi(0);
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint8_t * restrict q3 = x[i].qs;
+        const uint8_t * restrict gas = x[i].qs + QK_K/4;
+        const int8_t  * restrict q8 = y[i].qs;
+        __m256i sumi1 = __lasx_xvldi(0);
+        __m256i sumi2 = __lasx_xvldi(0);
+        for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
+            const __m256i q8_1 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            const __m256i q8_2 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            const __m256i q2_1 = lasx_set_w(iq3xxs_grid[q3[7]], iq3xxs_grid[q3[6]], iq3xxs_grid[q3[5]], iq3xxs_grid[q3[4]],
+                                                iq3xxs_grid[q3[3]], iq3xxs_grid[q3[2]], iq3xxs_grid[q3[1]], iq3xxs_grid[q3[0]]);
+            q3 += 8;
+            const __m256i q2_2 = lasx_set_w(iq3xxs_grid[q3[7]], iq3xxs_grid[q3[6]], iq3xxs_grid[q3[5]], iq3xxs_grid[q3[4]],
+                                                iq3xxs_grid[q3[3]], iq3xxs_grid[q3[2]], iq3xxs_grid[q3[1]], iq3xxs_grid[q3[0]]);
+            q3 += 8;
+            memcpy(aux32, gas, 8); gas += 8;
+
+            const __m256i s2_1 = lasx_set_d(signs64[(aux32[0] >> 21) & 127], signs64[(aux32[0] >> 14) & 127],
+                                                   signs64[(aux32[0] >>  7) & 127], signs64[(aux32[0] >>  0) & 127]);
+            const __m256i s2_2 = lasx_set_d(signs64[(aux32[1] >> 21) & 127], signs64[(aux32[1] >> 14) & 127],
+                                                   signs64[(aux32[1] >>  7) & 127], signs64[(aux32[1] >>  0) & 127]);
+            const __m256i q8s_1 = __lasx_xvsigncov_b(s2_1, q8_1);
+            const __m256i q8s_2 = __lasx_xvsigncov_b(s2_2, q8_2);
+            const __m256i dot1  = lasx_maddubs_h(q2_1, q8s_1);
+            const __m256i dot2  = lasx_maddubs_h(q2_2, q8s_2);
+            const uint16_t ls1 = aux32[0] >> 28;
+            const uint16_t ls2 = aux32[1] >> 28;
+
+            const __m256i p1 = lasx_madd_h(dot1, __lasx_xvreplgr2vr_h(2*ls1+1));
+            const __m256i p2 = lasx_madd_h(dot2, __lasx_xvreplgr2vr_h(2*ls2+1));
+            sumi1 = __lasx_xvadd_w(sumi1, p1);
+            sumi2 = __lasx_xvadd_w(sumi2, p2);
+        }
+
+        accumf = __lasx_xvfmadd_s(__lasx_xvreplfr2vr_s(d), __lasx_xvffint_s_w(__lasx_xvadd_w(sumi1, sumi2)), accumf);
+    }
+
+    *s = 0.25f * hsum_float_8(accumf);
+
 #else
 
     uint32_t aux32;
@@ -9126,10 +10276,8 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void *
     ggml_int8x16x4_t q8b;
     vec_index_t idx;
 
-#if QK_K == 256
     uint32_t scales32[2];
     const uint8_t * scales8 = (const uint8_t *)scales32;
-#endif
 
     float sumf = 0;
     for (int i = 0; i < nb; ++i) {
@@ -9139,11 +10287,9 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void *
         const uint16_t * restrict signs = (const uint16_t *)x[i].signs;
         const int8_t   * restrict q8 = y[i].qs;
 
-#if QK_K == 256
         memcpy(scales32, x[i].scales, 4);
         scales32[1] = (((scales32[0] >> 4) & 0x0f0f0f0f) << 1) | 0x01010101;
         scales32[0] = ((scales32[0] & 0x0f0f0f0f) << 1) | 0x01010101;
-#endif
 
         int sumi1 = 0, sumi2 = 0;
         for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
@@ -9184,13 +10330,9 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void *
 
             const int32x4_t p1 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q3s.val[0], q8b.val[0]), q3s.val[1], q8b.val[1]);
             const int32x4_t p2 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q3s.val[2], q8b.val[2]), q3s.val[3], q8b.val[3]);
-#if QK_K == 256
+
             sumi1 += vaddvq_s32(p1) * scales8[ib32/2+0];
             sumi2 += vaddvq_s32(p2) * scales8[ib32/2+4];
-#else
-            sumi1 += vaddvq_s32(p1) * (1 + 2*(x[i].scales[ib32/2] & 0xf));
-            sumi2 += vaddvq_s32(p2) * (1 + 2*(x[i].scales[ib32/2] >>  4));
-#endif
         }
         sumf += d*(sumi1 + sumi2);
     }
@@ -9279,6 +10421,207 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void *
 
     *s = hsum_float_8(accumf);
 
+#elif defined(__POWER9_VECTOR__)
+    static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
+                                        0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03
+    };
+
+    static const uint8_t k_mask2[16] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,};
+
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+    vector float vsumf2 = vec_splats(0.0f);
+    vector float vsumf3 = vec_splats(0.0f);
+
+    const vector unsigned char mask0 = vec_xl( 0, k_mask1);
+    const vector unsigned char mask1 = vec_xl(16, k_mask1);
+    const vector signed char mask2 = (vector signed char)vec_xl( 0, k_mask2);
+
+    for (int i = 0; i < nb; ++i) {
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(y[i].d);
+        vector float vd = vec_mul(vxd, vyd);
+
+        const uint8_t *  restrict q3 = x[i].qs;
+        const uint8_t *  restrict qh = x[i].qh;
+        const uint16_t * restrict signs = (const uint16_t *)(x[i].signs);
+        const uint8_t *  restrict sc = x[i].scales;
+        const int8_t  *  restrict q8 = y[i].qs;
+
+        vector signed int vsumi0 = vec_splats((int32_t)0);
+        vector signed int vsumi1 = vec_splats((int32_t)0);
+        vector signed int vsumi2 = vec_splats((int32_t)0);
+        vector signed int vsumi3 = vec_splats((int32_t)0);
+        vector signed int vsumi4 = vec_splats((int32_t)0);
+        vector signed int vsumi5 = vec_splats((int32_t)0);
+        vector signed int vsumi6 = vec_splats((int32_t)0);
+        vector signed int vsumi7 = vec_splats((int32_t)0);
+
+        for (int j = 0; j < QK_K/32; j += 2) {
+            __builtin_prefetch(q3, 0, 1);
+            __builtin_prefetch(q8, 0, 1);
+
+            vector unsigned int aux32x4_0 = {iq3s_grid[q3[ 0] | ((qh[0] << 8) & 256)], iq3s_grid[q3[ 1] | ((qh[0] << 7) & 256)],
+                                             iq3s_grid[q3[ 2] | ((qh[0] << 6) & 256)], iq3s_grid[q3[ 3] | ((qh[0] << 5) & 256)]};
+            vector unsigned int aux32x4_1 = {iq3s_grid[q3[ 4] | ((qh[0] << 4) & 256)], iq3s_grid[q3[ 5] | ((qh[0] << 3) & 256)],
+                                             iq3s_grid[q3[ 6] | ((qh[0] << 2) & 256)], iq3s_grid[q3[ 7] | ((qh[0] << 1) & 256)]};
+            vector unsigned int aux32x4_2 = {iq3s_grid[q3[ 8] | ((qh[1] << 8) & 256)], iq3s_grid[q3[ 9] | ((qh[1] << 7) & 256)],
+                                             iq3s_grid[q3[10] | ((qh[1] << 6) & 256)], iq3s_grid[q3[11] | ((qh[1] << 5) & 256)]};
+            vector unsigned int aux32x4_3 = {iq3s_grid[q3[12] | ((qh[1] << 4) & 256)], iq3s_grid[q3[13] | ((qh[1] << 3) & 256)],
+                                             iq3s_grid[q3[14] | ((qh[1] << 2) & 256)], iq3s_grid[q3[15] | ((qh[1] << 1) & 256)]};
+            q3 += 16;
+            qh += 2;
+
+            vector signed char vsigns01 = (vector signed char)vec_splats(*(const uint32_t *)&signs[0]);
+            vector signed char vsigns02 = (vector signed char)vec_splats(*(const uint32_t *)&signs[2]);
+            signs += 4;
+
+            vector signed char vsigns0 = vec_perm(vsigns01, vsigns01, mask0);
+            vector signed char vsigns1 = vec_perm(vsigns01, vsigns01, mask1);
+            vector signed char vsigns2 = vec_perm(vsigns02, vsigns02, mask0);
+            vector signed char vsigns3 = vec_perm(vsigns02, vsigns02, mask1);
+
+            vsigns0 = (vector signed char)vec_cmpeq(vec_and(vsigns0, mask2), mask2);
+            vsigns1 = (vector signed char)vec_cmpeq(vec_and(vsigns1, mask2), mask2);
+            vsigns2 = (vector signed char)vec_cmpeq(vec_and(vsigns2, mask2), mask2);
+            vsigns3 = (vector signed char)vec_cmpeq(vec_and(vsigns3, mask2), mask2);
+
+            vector signed char q3x0 = vec_sub(vec_xor(vsigns0, (vector signed char)aux32x4_0), vsigns0);
+            vector signed char q3x1 = vec_sub(vec_xor(vsigns1, (vector signed char)aux32x4_1), vsigns1);
+            vector signed char q3x2 = vec_sub(vec_xor(vsigns2, (vector signed char)aux32x4_2), vsigns2);
+            vector signed char q3x3 = vec_sub(vec_xor(vsigns3, (vector signed char)aux32x4_3), vsigns3);
+
+            vector signed char q8y0 = vec_xl( 0, q8);
+            vector signed char q8y1 = vec_xl(16, q8);
+            vector signed char q8y2 = vec_xl(32, q8);
+            vector signed char q8y3 = vec_xl(48, q8);
+            q8 += 64;
+
+            vector signed short qv0 = vec_add(vec_mule(q3x0, q8y0), vec_mulo(q3x0, q8y0));
+            vector signed short qv1 = vec_add(vec_mule(q3x1, q8y1), vec_mulo(q3x1, q8y1));
+            vector signed short qv2 = vec_add(vec_mule(q3x2, q8y2), vec_mulo(q3x2, q8y2));
+            vector signed short qv3 = vec_add(vec_mule(q3x3, q8y3), vec_mulo(q3x3, q8y3));
+
+            const uint16_t ls0 = (uint16_t)(sc[0] & 0xf);
+            const uint16_t ls1 = (uint16_t)(sc[0] >>  4);
+            sc ++;
+
+            vector signed short vscales01 = (vector signed short)vec_splats((uint16_t)(2*ls0+1));
+            vector signed short vscales23 = (vector signed short)vec_splats((uint16_t)(2*ls1+1));
+
+            vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0);
+            vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1);
+            vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2);
+            vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3);
+            vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4);
+            vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5);
+            vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6);
+            vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7);
+        }
+
+        vsumi0 = vec_add(vsumi0, vsumi4);
+        vsumi1 = vec_add(vsumi1, vsumi5);
+        vsumi2 = vec_add(vsumi2, vsumi6);
+        vsumi3 = vec_add(vsumi3, vsumi7);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+        vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
+        vsumf3 = vec_madd(vec_ctf(vsumi3, 0), vd, vsumf3);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf2);
+    vsumf1 = vec_add(vsumf1, vsumf3);
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined(__loongarch_asx)
+
+   static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
+                                       0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03
+   };
+
+    static const uint8_t k_mask2[32] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
+                                        0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
+    };
+
+    const __m256i mask1 = __lasx_xvld((const __m256i*)k_mask1, 0);
+    const __m256i mask2 = __lasx_xvld((const __m256i*)k_mask2, 0);
+
+    __m256i idx_shift = lasx_set_w(1, 2, 3, 4, 5, 6, 7, 8);
+    const __m256i idx_mask  = __lasx_xvreplgr2vr_w(256);
+
+    typedef union {
+        __m256i  vec[2];
+        uint32_t index[16];
+    } index_t;
+
+    index_t idx;
+
+    __m256 accumf = (__m256)__lasx_xvldi(0);
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint8_t * restrict qs = x[i].qs;
+        const uint8_t * restrict qh = x[i].qh;
+        const uint16_t * restrict signs = (const uint16_t *)x[i].signs;
+        const int8_t  * restrict q8 = y[i].qs;
+        __m256i sumi1 = __lasx_xvldi(0);
+        __m256i sumi2 = __lasx_xvldi(0);
+        for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
+            const __m256i q8_1 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            const __m256i q8_2 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            const __m256i idx_l = lasx_extu8_16(__lsx_vld(qs, 0)); qs += 16;
+            idx.vec[0] = __lasx_xvreplgr2vr_w(qh[ib32+0]);
+            idx.vec[1] = __lasx_xvreplgr2vr_w(qh[ib32+1]);
+            idx.vec[0] = __lasx_xvand_v(__lasx_xvsll_w(idx.vec[0], idx_shift), idx_mask);
+            idx.vec[1] = __lasx_xvand_v(__lasx_xvsll_w(idx.vec[1], idx_shift), idx_mask);
+            idx.vec[0] = __lasx_xvor_v(idx.vec[0], lasx_ext16_32(lasx_extracti128(idx_l, 0)));
+            idx.vec[1] = __lasx_xvor_v(idx.vec[1], lasx_ext16_32(lasx_extracti128(idx_l, 1)));
+
+            // At leat on my CPU (Ryzen 7950X), using _mm256_i32gather_epi32 is slower than _mm256_set_epi32. Strange.
+            //const __m256i q2_1 = _mm256_i32gather_epi32((const int *)iq3s_grid, idx.vec[0], 4);
+            //const __m256i q2_2 = _mm256_i32gather_epi32((const int *)iq3s_grid, idx.vec[1], 4);
+            const __m256i q2_1 = lasx_set_w(
+                    iq3s_grid[idx.index[7]], iq3s_grid[idx.index[6]], iq3s_grid[idx.index[5]], iq3s_grid[idx.index[4]],
+                    iq3s_grid[idx.index[3]], iq3s_grid[idx.index[2]], iq3s_grid[idx.index[1]], iq3s_grid[idx.index[0]]
+            );
+            const __m256i q2_2 = lasx_set_w(
+                    iq3s_grid[idx.index[15]], iq3s_grid[idx.index[14]], iq3s_grid[idx.index[13]], iq3s_grid[idx.index[12]],
+                    iq3s_grid[idx.index[11]], iq3s_grid[idx.index[10]], iq3s_grid[idx.index[ 9]], iq3s_grid[idx.index[ 8]]
+            );
+
+            __m256i aux256 = __lasx_xvreplgr2vr_w(signs[0] | (signs[1] << 16));
+            aux256 = __lasx_xvand_v(lasx_shuffle_b(aux256,mask1), mask2);
+            const __m256i s2_1 = __lasx_xvseq_b(aux256, mask2);
+            const __m256i q8s_1 = __lasx_xvsub_b(__lasx_xvxor_v(s2_1, q8_1), s2_1);
+
+            aux256 = __lasx_xvreplgr2vr_w(signs[2] | (signs[3] << 16));
+            aux256 = __lasx_xvand_v(lasx_shuffle_b(aux256,mask1), mask2);
+            const __m256i s2_2 = __lasx_xvseq_b(aux256, mask2);
+            const __m256i q8s_2 = __lasx_xvsub_b(__lasx_xvxor_v(s2_2, q8_2), s2_2);
+
+            signs += 4;
+
+            const __m256i dot1 = lasx_maddubs_h(q2_1, q8s_1);
+            const __m256i dot2  = lasx_maddubs_h(q2_2, q8s_2);
+            const uint16_t ls1 = x[i].scales[ib32/2] & 0xf;
+            const uint16_t ls2 = x[i].scales[ib32/2] >>  4;
+            const __m256i p1 = lasx_madd_h(dot1, __lasx_xvreplgr2vr_h(2*ls1+1));
+            const __m256i p2 = lasx_madd_h(dot2, __lasx_xvreplgr2vr_h(2*ls2+1));
+            sumi1 = __lasx_xvadd_w(sumi1, p1);
+            sumi2 = __lasx_xvadd_w(sumi2, p2);
+        }
+
+        accumf = __lasx_xvfmadd_s(__lasx_xvreplfr2vr_s(d), __lasx_xvffint_s_w(__lasx_xvadd_w(sumi1, sumi2)), accumf);
+    }
+
+    *s = hsum_float_8(accumf);
+
 #else
 
     float sumf = 0.f;
@@ -9326,12 +10669,22 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void *
 }
 
 
-#ifdef __AVX2__
+#if defined(__AVX2__)
 static inline __m256i mul_add_epi8(const __m256i x, const __m256i y) {
     const __m256i ax = _mm256_sign_epi8(x, x);
     const __m256i sy = _mm256_sign_epi8(y, x);
     return _mm256_maddubs_epi16(ax, sy);
 }
+#elif defined(__loongarch_asx)
+static inline __m256i mul_add_epi8(const __m256i x, const __m256i y) {
+    const __m256i ax = __lasx_xvsigncov_b(x, x);
+    const __m256i sy = __lasx_xvsigncov_b(x, y);
+    __m256i tmp1, tmp2, tmp3;
+    tmp1 = __lasx_xvmulwev_h_bu_b(ax, sy);
+    tmp2 = __lasx_xvmulwod_h_bu_b(ax, sy);
+    tmp3 = __lasx_xvadd_h(tmp1, tmp2);
+    return __lasx_xvsat_h(tmp3, 15);
+}
 #endif
 
 void ggml_vec_dot_iq1_s_q8_K  (int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
@@ -9433,6 +10786,169 @@ void ggml_vec_dot_iq1_s_q8_K  (int n, float * restrict s, size_t bs, const void
 
     *s = hsum_float_8(accum) + IQ1S_DELTA * accum1;
 
+#elif defined(__POWER9_VECTOR__)
+    const vector unsigned char v0 = vec_splats((unsigned char)0x0);
+    const vector unsigned short vsign = vec_splats((unsigned short)0x8000);
+
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+    vector float vsumf2 = vec_splats(0.0f);
+    vector float vsumf3 = vec_splats(0.0f);
+
+    for (int i = 0; i < nb; ++i) {
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[i].d));
+        vector float vyd = vec_splats(y[i].d);
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector signed int vsumi0 = vec_splats((int32_t)0);
+        vector signed int vsumi1 = vec_splats((int32_t)0);
+        vector signed int vsumi2 = vec_splats((int32_t)0);
+        vector signed int vsumi3 = vec_splats((int32_t)0);
+        vector signed int vsumi4 = vec_splats((int32_t)0);
+        vector signed int vsumi5 = vec_splats((int32_t)0);
+        vector signed int vsumi6 = vec_splats((int32_t)0);
+        vector signed int vsumi7 = vec_splats((int32_t)0);
+        vector signed int vsumi8 = vec_splats((int32_t)0);
+
+        const uint8_t  * restrict q1 = x[i].qs;
+        const uint16_t * restrict qh = x[i].qh;
+        const int8_t   * restrict q8 = y[i].qs;
+        const int16_t  * restrict qs = y[i].bsums;
+
+        for (int j = 0; j < QK_K/32; j += 2) {
+            __builtin_prefetch(q1, 0, 1);
+            __builtin_prefetch(qh, 0, 1);
+            __builtin_prefetch(q8, 0, 1);
+
+            vector signed long long aux64x2_0 = {*(const int64_t *)(iq1s_grid + (q1[0] | ((qh[0] << 8) & 0x700))), *(const int64_t *)(iq1s_grid + (q1[1] | ((qh[0] << 5) & 0x700)))};
+            vector signed long long aux64x2_1 = {*(const int64_t *)(iq1s_grid + (q1[2] | ((qh[0] << 2) & 0x700))), *(const int64_t *)(iq1s_grid + (q1[3] | ((qh[0] >> 1) & 0x700)))};
+            vector signed long long aux64x2_2 = {*(const int64_t *)(iq1s_grid + (q1[4] | ((qh[1] << 8) & 0x700))), *(const int64_t *)(iq1s_grid + (q1[5] | ((qh[1] << 5) & 0x700)))};
+            vector signed long long aux64x2_3 = {*(const int64_t *)(iq1s_grid + (q1[6] | ((qh[1] << 2) & 0x700))), *(const int64_t *)(iq1s_grid + (q1[7] | ((qh[1] >> 1) & 0x700)))};
+            q1 += 8;
+
+            vector signed char q1x0 = (vector signed char)aux64x2_0;
+            vector signed char q1x1 = (vector signed char)aux64x2_1;
+            vector signed char q1x2 = (vector signed char)aux64x2_2;
+            vector signed char q1x3 = (vector signed char)aux64x2_3;
+
+            vector signed char q8y0 = vec_xl( 0, q8);
+            vector signed char q8y1 = vec_xl(16, q8);
+            vector signed char q8y2 = vec_xl(32, q8);
+            vector signed char q8y3 = vec_xl(48, q8);
+            q8 += 64;
+
+            vector signed short qv0 = vec_add(vec_mule(q1x0, q8y0), vec_mulo(q1x0, q8y0));
+            vector signed short qv1 = vec_add(vec_mule(q1x1, q8y1), vec_mulo(q1x1, q8y1));
+            vector signed short qv2 = vec_add(vec_mule(q1x2, q8y2), vec_mulo(q1x2, q8y2));
+            vector signed short qv3 = vec_add(vec_mule(q1x3, q8y3), vec_mulo(q1x3, q8y3));
+
+            const uint16_t ls0 = (uint16_t)((qh[0] >> 12) & 7);
+            const uint16_t ls1 = (uint16_t)((qh[1] >> 12) & 7);
+
+            vector signed short vscales01 = (vector signed short)vec_splats((uint16_t)(2*ls0+1));
+            vector signed short vscales23 = (vector signed short)vec_splats((uint16_t)(2*ls1+1));
+            vector signed short vscales = vec_sld(vscales23, vscales01, 8);
+
+            vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0);
+            vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1);
+            vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2);
+            vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3);
+            vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4);
+            vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5);
+            vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6);
+            vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7);
+
+            vector signed short q8ysums = vec_xl_len(qs, 8);
+            qs += 4;
+            q8ysums = vec_mergeh(q8ysums, (vector signed short)v0);
+
+            vector signed short qxh = (vector signed short)vec_sld(vec_splats(qh[1]), vec_splats(qh[0]), 8);
+            qh += 2;
+            vector __bool short vsel = vec_cmpge(qxh, (vector signed short)v0);
+
+            vector signed short q8ysum = vec_sel((vector signed short)vec_xor((vector unsigned short)q8ysums, vsign), q8ysums, vsel);
+
+            vsumi8 = vec_add(vec_mule(q8ysum, vscales), vsumi8);
+        }
+
+        vsumi0 = vec_add(vsumi0, vsumi4);
+        vsumi1 = vec_add(vsumi1, vsumi5);
+        vsumi2 = vec_add(vsumi2, vsumi6);
+        vsumi3 = vec_add(vsumi3, vsumi7);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+        vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
+        vsumf3 = vec_madd(vec_ctf(vsumi3, 0), vd, vsumf3);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi8, 0), vec_mul(vd, vec_splats(IQ1S_DELTA)), vsumf0);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf2);
+    vsumf1 = vec_add(vsumf1, vsumf3);
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined(__loongarch_asx)
+
+    __m256 accum = (__m256)__lasx_xvldi(0);
+    float accum1 = 0;
+    for (int i = 0; i < nb; ++i) {
+
+        const int8_t   * q8 = y[i].qs;
+        const uint8_t  * qs = x[i].qs;
+        const uint16_t * qh = x[i].qh;
+
+        __m256i sumi = __lasx_xvldi(0);
+        int sumi1 = 0;
+        for (int ib = 0; ib < QK_K/32; ib += 2) {
+            __m256i q1b_1 = __lasx_xvinsgr2vr_d(q1b_1, iq1s_grid[qs[0] | ((qh[ib+0] << 8) & 0x700)], 0);
+            q1b_1 = __lasx_xvinsgr2vr_d(q1b_1, iq1s_grid[qs[1] | ((qh[ib+0] << 5) & 0x700)], 1);
+            q1b_1 = __lasx_xvinsgr2vr_d(q1b_1, iq1s_grid[qs[2] | ((qh[ib+0] << 2) & 0x700)], 2);
+            q1b_1 = __lasx_xvinsgr2vr_d(q1b_1, iq1s_grid[qs[3] | ((qh[ib+0] >> 1) & 0x700)], 3);
+
+            __m256i q1b_2 = __lasx_xvinsgr2vr_d(q1b_2, iq1s_grid[qs[4] | ((qh[ib+1] << 8) & 0x700)], 0);
+            q1b_2 = __lasx_xvinsgr2vr_d(q1b_2, iq1s_grid[qs[5] | ((qh[ib+1] << 5) & 0x700)], 1);
+            q1b_2 = __lasx_xvinsgr2vr_d(q1b_2, iq1s_grid[qs[6] | ((qh[ib+1] << 2) & 0x700)], 2);
+            q1b_2 = __lasx_xvinsgr2vr_d(q1b_2, iq1s_grid[qs[7] | ((qh[ib+1] >> 1) & 0x700)], 3);
+
+            qs += 8;
+            const __m256i q8b_1 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+            const __m256i q8b_2 = __lasx_xvld((const __m256i*)q8, 0); q8 += 32;
+
+            const __m256i dot1 = mul_add_epi8(q1b_1, q8b_1);
+            const __m256i dot2 = mul_add_epi8(q1b_2, q8b_2);
+            const int16_t ls1 = 2*((qh[ib+0] >> 12) & 7) + 1;
+            const int16_t ls2 = 2*((qh[ib+1] >> 12) & 7) + 1;
+
+            __m256i tmp1, tmp5, tmp6;
+            tmp1 = __lasx_xvreplgr2vr_h(ls1);
+            tmp5 = __lasx_xvmulwev_w_h(dot1, tmp1);
+            tmp6 = __lasx_xvmulwod_w_h(dot1, tmp1);
+            const __m256i p1 = __lasx_xvadd_w(tmp5, tmp6);
+
+            tmp1 = __lasx_xvreplgr2vr_h(ls2);
+            tmp5 = __lasx_xvmulwev_w_h(dot2, tmp1);
+            tmp6 = __lasx_xvmulwod_w_h(dot2, tmp1);
+            const __m256i p2 = __lasx_xvadd_w(tmp5, tmp6);
+
+            sumi = __lasx_xvadd_w(sumi, __lasx_xvadd_w(p1, p2));
+            sumi1 += (y[i].bsums[2*ib+0] + y[i].bsums[2*ib+1]) * (qh[ib+0] & 0x8000 ? -1 : 1) * ls1
+                   + (y[i].bsums[2*ib+2] + y[i].bsums[2*ib+3]) * (qh[ib+1] & 0x8000 ? -1 : 1) * ls2;
+        }
+
+        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
+        accum = __lasx_xvfmadd_s(__lasx_xvreplfr2vr_s(d), __lasx_xvffint_s_w(sumi), accum);
+        accum1 += d * sumi1;
+    }
+
+    *s = hsum_float_8(accum) + IQ1S_DELTA * accum1;
+
 #else
 
     float sumf = 0;
@@ -9480,17 +10996,10 @@ void ggml_vec_dot_iq1_m_q8_K  (int n, float * restrict s, size_t bs, const void
 
     const int nb = n / QK_K;
 
-#if QK_K != 64
     iq1m_scale_t scale;
-#endif
 
 #if defined __ARM_NEON
-
-#if QK_K == 64
-    const int32x4_t mask  = vdupq_n_s32(0xf);
-#else
     const int32x4_t mask  = vdupq_n_s32(0x7);
-#endif
     const int32x4_t mone  = vdupq_n_s32(1);
     const int32x4_t mzero = vdupq_n_s32(0);
 
@@ -9514,9 +11023,7 @@ void ggml_vec_dot_iq1_m_q8_K  (int n, float * restrict s, size_t bs, const void
         const uint8_t  * qh = x[i].qh;
         const uint16_t * sc = (const uint16_t *)x[i].scales;
 
-#if QK_K != 64
         scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
-#endif
 
         int32x4_t sumi1 = mzero;
         int32x4_t sumi2 = mzero;
@@ -9545,11 +11052,8 @@ void ggml_vec_dot_iq1_m_q8_K  (int n, float * restrict s, size_t bs, const void
             const int32x4_t p4 = vpaddq_s32(ggml_vdotq_s32(mzero, deltas.val[aux8[2]], q8b.val[2]), ggml_vdotq_s32(mzero, deltas.val[aux8[3]], q8b.val[3]));
             const int32x4_t p34 = vpaddq_s32(p3, p4);
 
-#if QK_K == 64
-            int32x4_t scales_4 = ggml_vld1q_u32(sc[0] >> 0, sc[0] >> 4, sc[0] >> 8, sc[0] >> 12);
-#else
             int32x4_t scales_4 = ggml_vld1q_u32(sc[ib/2] >> 0, sc[ib/2] >> 3, sc[ib/2] >> 6, sc[ib/2] >> 9);
-#endif
+
             scales_4 = vaddq_s32(vshlq_n_s32(vandq_s32(scales_4, mask), 1), mone);
 
             sumi1 = vmlaq_s32(sumi1, scales_4, p12);
@@ -9559,22 +11063,14 @@ void ggml_vec_dot_iq1_m_q8_K  (int n, float * restrict s, size_t bs, const void
 
         }
 
-#if QK_K == 64
-        sumf += y[i].d * GGML_FP16_TO_FP32(x[i].d) * (vaddvq_s32(sumi1) + IQ1M_DELTA * vaddvq_s32(sumi2));
-#else
         sumf += y[i].d * GGML_FP16_TO_FP32(scale.f16) * (vaddvq_s32(sumi1) + IQ1M_DELTA * vaddvq_s32(sumi2));
-#endif
     }
 
     *s = sumf;
 
 #elif defined __AVX2__
 
-#if QK_K == 64
-    const __m256i mask = _mm256_set1_epi16(0xf);
-#else
     const __m256i mask = _mm256_set1_epi16(0x7);
-#endif
     const __m256i mone = _mm256_set1_epi16(1);
 
     __m256 accum1 = _mm256_setzero_ps();
@@ -9586,9 +11082,7 @@ void ggml_vec_dot_iq1_m_q8_K  (int n, float * restrict s, size_t bs, const void
         const uint8_t  * qh = x[i].qh;
         const uint16_t * sc = (const uint16_t *)x[i].scales;
 
-#if QK_K != 64
         scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
-#endif
 
         __m256i sumi1 = _mm256_setzero_si256();
         __m256i sumi2 = _mm256_setzero_si256();
@@ -9618,13 +11112,10 @@ void ggml_vec_dot_iq1_m_q8_K  (int n, float * restrict s, size_t bs, const void
 
             const __m256i dot3 = mul_add_epi8(delta1, q8b_1);
             const __m256i dot4 = mul_add_epi8(delta2, q8b_2);
-#if QK_K == 64
-            __m256i scale1 = MM256_SET_M128I(_mm_set1_epi16(sc[0] >>  4), _mm_set1_epi16(sc[0] >> 0));
-            __m256i scale2 = MM256_SET_M128I(_mm_set1_epi16(sc[0] >> 12), _mm_set1_epi16(sc[0] >> 8));
-#else
+
             __m256i scale1 = MM256_SET_M128I(_mm_set1_epi16(sc[ib/2] >> 3), _mm_set1_epi16(sc[ib/2] >> 0));
             __m256i scale2 = MM256_SET_M128I(_mm_set1_epi16(sc[ib/2] >> 9), _mm_set1_epi16(sc[ib/2] >> 6));
-#endif
+
             scale1 = _mm256_add_epi16(_mm256_slli_epi16(_mm256_and_si256(scale1, mask), 1), mone);
             scale2 = _mm256_add_epi16(_mm256_slli_epi16(_mm256_and_si256(scale2, mask), 1), mone);
             const __m256i p1 = _mm256_madd_epi16(dot1, scale1);
@@ -9638,14 +11129,10 @@ void ggml_vec_dot_iq1_m_q8_K  (int n, float * restrict s, size_t bs, const void
             qs += 8; qh += 4;
         }
 
-#if QK_K == 64
-        const __m256 d = _mm256_set1_ps(y[i].d * GGML_FP16_TO_FP32(x[i].d));
-#else
         const __m256 d = _mm256_set1_ps(y[i].d * GGML_FP16_TO_FP32(scale.f16));
-#endif
+
         accum1 = _mm256_fmadd_ps(d, _mm256_cvtepi32_ps(sumi1), accum1);
         accum2 = _mm256_fmadd_ps(d, _mm256_cvtepi32_ps(sumi2), accum2);
-
     }
 
     *s = hsum_float_8(accum1) + IQ1M_DELTA * hsum_float_8(accum2);
@@ -9662,9 +11149,7 @@ void ggml_vec_dot_iq1_m_q8_K  (int n, float * restrict s, size_t bs, const void
         const uint8_t  * qh = x[i].qh;
         const uint16_t * sc = (const uint16_t *)x[i].scales;
 
-#if QK_K != 64
         scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
-#endif
 
         int sumi1 = 0, sumi2 = 0;
         for (int ib = 0; ib < QK_K/32; ++ib) {
@@ -9684,24 +11169,17 @@ void ggml_vec_dot_iq1_m_q8_K  (int n, float * restrict s, size_t bs, const void
                 sum1[l/2] += lsum1;
                 sum2[l/2] += lsum2*delta[l];
             }
-#if QK_K == 64
-            const int ls1 = 2*((sc[0] >> (8*(ib%2)+0)) & 0xf) + 1;
-            const int ls2 = 2*((sc[0] >> (8*(ib%2)+4)) & 0xf) + 1;
-#else
+
             const int ls1 = 2*((sc[ib/2] >> (6*(ib%2)+0)) & 0x7) + 1;
             const int ls2 = 2*((sc[ib/2] >> (6*(ib%2)+3)) & 0x7) + 1;
-#endif
+
             sumi1 += sum1[0] * ls1 + sum1[1] * ls2;
             sumi2 += sum2[0] * ls1 + sum2[1] * ls2;
             qs += 4;
             qh += 2;
         }
 
-#if QK_K == 64
-        sumf += GGML_FP16_TO_FP32(x[i].d) * y[i].d * (sumi1 + IQ1M_DELTA * sumi2);
-#else
         sumf += GGML_FP16_TO_FP32(scale.f16) * y[i].d * (sumi1 + IQ1M_DELTA * sumi2);
-#endif
     }
 
     *s = sumf;
@@ -9789,6 +11267,84 @@ void ggml_vec_dot_iq4_nl_q8_0(int n, float * restrict s, size_t bs, const void *
 
     *s = hsum_float_8(_mm256_add_ps(accum1, accum2));
 
+#elif defined(__POWER9_VECTOR__)
+    const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector unsigned char v4 = vec_splats((unsigned char)0x4);
+
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+
+    const vector signed char values = vec_xl( 0, kvalues_iq4nl);
+
+#pragma GCC unroll 4
+    for (int ib = 0; ib < nb; ++ib) {
+        __builtin_prefetch(x[ib].qs, 0, 1);
+        __builtin_prefetch(y[ib].qs, 0, 1);
+
+
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[ib].d));
+        vector float vyd = vec_splats(GGML_FP16_TO_FP32(y[ib].d));
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector signed char qxs = (vector signed char)vec_xl( 0, x[ib].qs);
+        vector signed char q4x0 = vec_and(qxs, lowMask);
+        vector signed char q4x1 = vec_sr(qxs, v4);
+
+        q4x0 = vec_perm(values, values, (vector unsigned char)q4x0);
+        q4x1 = vec_perm(values, values, (vector unsigned char)q4x1);
+
+        vector signed char q8y0 = vec_xl( 0, y[ib].qs);
+        vector signed char q8y1 = vec_xl(16, y[ib].qs);
+
+        vector signed short qv0 = vec_add(vec_mule(q4x0, q8y0), vec_mulo(q4x0, q8y0));
+        vector signed short qv1 = vec_add(vec_mule(q4x1, q8y1), vec_mulo(q4x1, q8y1));
+
+        vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0));
+        vector signed int vsumi1 = vec_add(vec_unpackh(qv1), vec_unpackl(qv1));
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined (__loongarch_asx)
+
+    const __m128i values128 = __lsx_vld((const __m128i*)kvalues_iq4nl, 0);
+    const __m128i m4b  = __lsx_vreplgr2vr_b(0x0f);
+    const __m256i mone = __lasx_xvreplgr2vr_h(1);
+
+    __m256 accum1 = (__m256)__lasx_xvldi(0);
+    __m256 accum2 = (__m256)__lasx_xvldi(0);
+    for (int ib = 0; ib < nb; ib += 2) {
+        const __m128i q4bits_1 = __lsx_vld((const __m128i*)x[0].qs, 0);
+        const __m128i q4bits_2 = __lsx_vld((const __m128i*)x[1].qs, 0);
+        const __m256i q8b_1 = __lasx_xvld((const __m256i *)y[0].qs, 0);
+        const __m256i q8b_2 = __lasx_xvld((const __m256i *)y[1].qs, 0);
+        const __m256i q4b_1 = lasx_insertf128(lsx_shuffle_b(values128, __lsx_vand_v(__lsx_vsrli_h(q4bits_1, 4), m4b)),
+                                              lsx_shuffle_b(values128, __lsx_vand_v(q4bits_1, m4b)));
+        const __m256i q4b_2 = lasx_insertf128(lsx_shuffle_b(values128, __lsx_vand_v(__lsx_vsrli_h(q4bits_2, 4), m4b)),
+                                              lsx_shuffle_b(values128, __lsx_vand_v(q4bits_2, m4b)));
+        const __m256i p16_1 = mul_add_epi8(q4b_1, q8b_1);
+        const __m256i p16_2 = mul_add_epi8(q4b_2, q8b_2);
+        const __m256i p_1 = lasx_madd_h(p16_1, mone);
+        const __m256i p_2 = lasx_madd_h(p16_2, mone);
+        accum1 = __lasx_xvfmadd_s(__lasx_xvreplfr2vr_s(GGML_FP16_TO_FP32(y[0].d)*GGML_FP16_TO_FP32(x[0].d)),
+                __lasx_xvffint_s_w(p_1), accum1);
+        accum2 = __lasx_xvfmadd_s(__lasx_xvreplfr2vr_s(GGML_FP16_TO_FP32(y[1].d)*GGML_FP16_TO_FP32(x[1].d)),
+                __lasx_xvffint_s_w(p_2), accum2);
+
+        y += 2;
+        x += 2;
+    }
+
+    *s = hsum_float_8(__lasx_xvfadd_s(accum1, accum2));
+
 #else
     float sumf = 0;
     for (int ib = 0; ib < nb; ++ib) {
@@ -9811,9 +11367,6 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * restrict s, size_t bs, const void *
     UNUSED(by);
     UNUSED(bs);
     assert(n % QK_K == 0);
-#if QK_K == 64
-    ggml_vec_dot_iq4_nl_q8_0(n, s, bs, vx, bx, vy, by, nrc);
-#else
 
     const block_iq4_xs * restrict x = vx;
     const block_q8_K   * restrict y = vy;
@@ -9900,6 +11453,179 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * restrict s, size_t bs, const void *
 
     *s = hsum_float_8(accum);
 
+#elif defined(__POWER9_VECTOR__)
+    const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector unsigned char v4 = vec_splats((unsigned char)0x4);
+
+    vector float vsumf0 = vec_splats(0.0f);
+    vector float vsumf1 = vec_splats(0.0f);
+    vector float vsumf2 = vec_splats(0.0f);
+    vector float vsumf3 = vec_splats(0.0f);
+
+    const vector signed char values = vec_xl( 0, kvalues_iq4nl);
+
+    for (int ibl = 0; ibl < nb; ++ibl) {
+
+        vector float vxd = vec_splats(GGML_FP16_TO_FP32(x[ibl].d));
+        vector float vyd = vec_splats(y[ibl].d);
+        vector float vd = vec_mul(vxd, vyd);
+
+        vector signed int vsumi0 = vec_splats((int32_t)0);
+        vector signed int vsumi1 = vec_splats((int32_t)0);
+        vector signed int vsumi2 = vec_splats((int32_t)0);
+        vector signed int vsumi3 = vec_splats((int32_t)0);
+        vector signed int vsumi4 = vec_splats((int32_t)0);
+        vector signed int vsumi5 = vec_splats((int32_t)0);
+        vector signed int vsumi6 = vec_splats((int32_t)0);
+        vector signed int vsumi7 = vec_splats((int32_t)0);
+
+        uint16_t h = x[ibl].scales_h;
+
+        const uint8_t * restrict q4 = x[ibl].qs;
+        const uint8_t * restrict sc = x[ibl].scales_l;
+        const int8_t  * restrict q8 = y[ibl].qs;
+
+        for (int ib = 0; ib < QK_K/64; ib ++ ) {
+            __builtin_prefetch(q4, 0, 1);
+            __builtin_prefetch(q8, 0, 1);
+
+            vector signed char qxs0 = (vector signed char)vec_xl( 0, q4);
+            vector signed char qxs1 = (vector signed char)vec_xl(16, q4);
+            q4 += 32;
+
+            vector signed char q4x00 = (vector signed char)vec_and(qxs0, lowMask);
+            vector signed char q4x01 = (vector signed char)vec_sr(qxs0, v4);
+            vector signed char q4x10 = (vector signed char)vec_and(qxs1, lowMask);
+            vector signed char q4x11 = (vector signed char)vec_sr(qxs1, v4);
+
+            q4x00 = vec_perm(values, values, (vector unsigned char)q4x00);
+            q4x01 = vec_perm(values, values, (vector unsigned char)q4x01);
+            q4x10 = vec_perm(values, values, (vector unsigned char)q4x10);
+            q4x11 = vec_perm(values, values, (vector unsigned char)q4x11);
+
+            vector signed char q8y0 = vec_xl( 0, q8);
+            vector signed char q8y1 = vec_xl(16, q8);
+            vector signed char q8y2 = vec_xl(32, q8);
+            vector signed char q8y3 = vec_xl(48, q8);
+            q8 += 64;
+
+            vector signed short qv0 = vec_add(vec_mule(q4x00, q8y0), vec_mulo(q4x00, q8y0));
+            vector signed short qv1 = vec_add(vec_mule(q4x01, q8y1), vec_mulo(q4x01, q8y1));
+            vector signed short qv2 = vec_add(vec_mule(q4x10, q8y2), vec_mulo(q4x10, q8y2));
+            vector signed short qv3 = vec_add(vec_mule(q4x11, q8y3), vec_mulo(q4x11, q8y3));
+
+            const uint16_t ls0 = (uint16_t)(((sc[0] & 0xf) | ((h << 4) & 0x30)) - 32);
+            const uint16_t ls1 = (uint16_t)(((sc[0] >>  4) | ((h << 2) & 0x30)) - 32);
+            h >>= 4;
+            sc ++;
+
+            vector signed short vscales01 = vec_splats((int16_t)ls0);
+            vector signed short vscales23 = vec_splats((int16_t)ls1);
+
+            vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0);
+            vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1);
+            vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2);
+            vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3);
+            vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4);
+            vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5);
+            vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6);
+            vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7);
+        }
+
+        vsumi0 = vec_add(vsumi0, vsumi4);
+        vsumi1 = vec_add(vsumi1, vsumi5);
+        vsumi2 = vec_add(vsumi2, vsumi6);
+        vsumi3 = vec_add(vsumi3, vsumi7);
+
+        vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
+        vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
+        vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
+        vsumf3 = vec_madd(vec_ctf(vsumi3, 0), vd, vsumf3);
+    }
+
+    vsumf0 = vec_add(vsumf0, vsumf2);
+    vsumf1 = vec_add(vsumf1, vsumf3);
+
+    vsumf0 = vec_add(vsumf0, vsumf1);
+
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 4));
+    vsumf0 = vec_add(vsumf0, vec_sld(vsumf0, vsumf0, 8));
+
+    *s = vec_extract(vsumf0, 0);
+
+#elif defined(__loongarch_asx)
+
+    const __m128i values128 = __lsx_vld((const __m128i*)kvalues_iq4nl, 0);
+    const __m128i m4b  = __lsx_vreplgr2vr_b(0x0f);
+
+    __m256 accum = (__m256)__lasx_xvldi(0);
+    __m256i tmp1;
+    __m128i tmp0, tmp2, tmp3, tmp4, mask_8f, mask;
+
+    mask_8f = __lsx_vreplgr2vr_b(0x8f);
+    for (int ibl = 0; ibl < nb; ++ibl) {
+        const uint8_t * qs = x[ibl].qs;
+        const int8_t  * q8 = y[ibl].qs;
+        uint16_t sh = x[ibl].scales_h;
+        __m256i sumi1 = __lasx_xvldi(0);
+        __m256i sumi2 = __lasx_xvldi(0);
+        __m128i zero = __lsx_vldi(0);
+        for (int ib = 0; ib < QK_K/32; ib += 2) {
+            const __m128i q4bits_1 = __lsx_vld((const __m128i*)qs, 0);  qs += 16;
+            const __m128i q4bits_2 = __lsx_vld((const __m128i*)qs, 0);  qs += 16;
+            const __m256i q8b_1 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            const __m256i q8b_2 = __lasx_xvld((const __m256i *)q8, 0); q8 += 32;
+            tmp2 = __lsx_vand_v(__lsx_vand_v(__lsx_vsrli_h(q4bits_1, 4), m4b), mask_8f);
+            tmp0 = __lsx_vori_b(tmp2, 0x10);
+            mask = __lsx_vsle_b(zero, tmp2);
+            tmp3 = __lsx_vand_v(tmp0, mask);
+            tmp3 = __lsx_vshuf_b(values128, zero, tmp3);
+
+            tmp2 = __lsx_vand_v(__lsx_vand_v(q4bits_1, m4b), mask_8f);
+            tmp0 = __lsx_vori_b(tmp2, 0x10);
+            mask = __lsx_vsle_b(zero, tmp2);
+            tmp4 = __lsx_vand_v(tmp0, mask);
+            tmp4 = __lsx_vshuf_b(values128, zero, tmp4);
+
+            const __m256i q4b_1 = lasx_insertf128(tmp3, tmp4);
+
+            tmp2 = __lsx_vand_v(__lsx_vand_v(__lsx_vsrli_h(q4bits_2, 4), m4b), mask_8f);
+            tmp0 = __lsx_vori_b(tmp2, 0x10);
+            mask = __lsx_vsle_b(zero, tmp2);
+            tmp3 = __lsx_vand_v(tmp0, mask);
+            tmp3 = __lsx_vshuf_b(values128, zero, tmp3);
+
+            tmp2 = __lsx_vand_v(__lsx_vand_v(q4bits_2, m4b), mask_8f);
+            tmp0 = __lsx_vori_b(tmp2, 0x10);
+            mask = __lsx_vsle_b(zero, tmp2);
+            tmp4 = __lsx_vand_v(tmp0, mask);
+            tmp4 = __lsx_vshuf_b(values128, zero, tmp4);
+
+            const __m256i q4b_2 = lasx_insertf128(tmp3, tmp4);
+
+            const __m256i p16_1 = mul_add_epi8(q4b_1, q8b_1);
+            const __m256i p16_2 = mul_add_epi8(q4b_2, q8b_2);
+            const int16_t ls1 = ((x[ibl].scales_l[ib/2] & 0xf) | ((sh << 4) & 0x30)) - 32;
+            const int16_t ls2 = ((x[ibl].scales_l[ib/2] >>  4) | ((sh << 2) & 0x30)) - 32;
+            sh >>= 4;
+            __m256i tmp5, tmp6;
+            tmp1 = __lasx_xvreplgr2vr_h(ls1);
+            tmp5 = __lasx_xvmulwev_w_h(p16_1, tmp1);
+            tmp6 = __lasx_xvmulwod_w_h(p16_1, tmp1);
+            const __m256i p_1 = __lasx_xvadd_w(tmp5, tmp6);
+            tmp1 = __lasx_xvreplgr2vr_h(ls2);
+            tmp5 = __lasx_xvmulwev_w_h(p16_2, tmp1);
+            tmp6 = __lasx_xvmulwod_w_h(p16_2, tmp1);
+            const __m256i p_2 = __lasx_xvadd_w(tmp5, tmp6);
+            sumi1 = __lasx_xvadd_w(p_1, sumi1);
+            sumi2 = __lasx_xvadd_w(p_2, sumi2);
+        }
+        accum = __lasx_xvfmadd_s(__lasx_xvreplfr2vr_s(GGML_FP16_TO_FP32(x[ibl].d)*y[ibl].d),
+                __lasx_xvffint_s_w(__lasx_xvadd_w(sumi1, sumi2)), accum);
+    }
+
+    *s = hsum_float_8(accum);
+
 #else
     float sumf = 0;
     for (int ibl = 0; ibl < nb; ++ibl) {
@@ -9933,7 +11659,6 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * restrict s, size_t bs, const void *
     }
     *s = sumf;
 #endif
-#endif
 }
 
 // ================================ IQ2 quantization =============================================
@@ -10431,7 +12156,7 @@ static void quantize_row_iq2_xxs_impl(const float * restrict x, void * restrict
             }
             float max = xval[0];
             for (int i = 1; i < 32; ++i) max = MAX(max, xval[i]);
-            if (!max) {
+            if (max < GROUP_MAX_EPS) {
                 scales[ib] = 0;
                 memset(L, 0, 32);
                 continue;
@@ -10509,7 +12234,7 @@ static void quantize_row_iq2_xxs_impl(const float * restrict x, void * restrict
                     printf("\n");
                     GGML_ASSERT(false);
                 }
-                q2[2*ib+0] |= (grid_index << 8*k);
+                q2[2*ib+0] |= ((uint32_t) grid_index << 8*k);
                 q2[2*ib+1] |= (block_signs[k] << 7*k);
             }
             GGML_ASSERT(scale >= 0);
@@ -10607,7 +12332,7 @@ static void quantize_row_iq2_xs_impl(const float * restrict x, void * restrict v
             }
             float max = xval[0];
             for (int i = 1; i < 16; ++i) max = MAX(max, xval[i]);
-            if (!max) {
+            if (max < GROUP_MAX_EPS) {
                 scales[ib] = 0;
                 memset(L, 0, 16);
                 continue;
@@ -11048,7 +12773,7 @@ static void quantize_row_iq3_xxs_impl(int grid_size, const float * restrict x, v
             }
             float max = xval[0];
             for (int i = 1; i < 32; ++i) max = MAX(max, xval[i]);
-            if (!max) {
+            if (max < GROUP_MAX_EPS_IQ3_XXS) {
                 scales[ib] = 0;
                 memset(L, 0, 32);
                 continue;
@@ -11588,7 +13313,7 @@ static void quantize_row_iq1_s_impl(const float * restrict x, void * restrict vy
             for (int i = 0; i < block_size; ++i) weight[i] = qw[i] * sqrtf(sigma2 + xb[i]*xb[i]);
             float max = fabsf(xb[0]);
             for (int i = 1; i < block_size; ++i) max = MAX(max, fabsf(xb[i]));
-            if (!max) {
+            if (max < GROUP_MAX_EPS_IQ1_S) {
                 scales[ib] = 0;
                 memset(L, 1, block_size);
                 continue;
@@ -11751,10 +13476,6 @@ static void quantize_row_iq1_m_impl(const float * restrict x, void * restrict vy
     const float * xx;
 
     for (int ibl = 0; ibl < nbl; ++ibl) {
-
-#if QK_K == 64
-        y[ibl].d = GGML_FP32_TO_FP16(0.f);
-#endif
         memset(y[ibl].qs, 0, QK_K/8);
         memset(y[ibl].qh, 0, QK_K/16);
         memset(y[ibl].scales, 0, QK_K/32);
@@ -11776,7 +13497,7 @@ static void quantize_row_iq1_m_impl(const float * restrict x, void * restrict vy
             }
             float max = fabsf(xb[0]);
             for (int i = 1; i < block_size; ++i) max = MAX(max, fabsf(xb[i]));
-            if (!max) {
+            if (max < GROUP_MAX_EPS_IQ1_M) {
                 scales[ib] = 0;
                 memset(L, 1, block_size);
                 continue;
@@ -11929,22 +13650,13 @@ static void quantize_row_iq1_m_impl(const float * restrict x, void * restrict vy
         }
 
         uint16_t * sc = (uint16_t *)y[ibl].scales;
-#if QK_K == 64
-        float d = max_scale/31;
-#else
         float d = max_scale/15;
-#endif
         float id = 1/d;
         float sumqx_f = 0, sumq2_f = 0;
         for (int ib = 0; ib < QK_K/block_size; ++ib) {
             int l = nearest_int(0.5f*(id*scales[ib+0]-1));
-#if QK_K == 64
-            l = MAX(0, MIN(15, l));
-            sc[ib/4] |= (l << 4*(ib%4));
-#else
             l = MAX(0, MIN(7, l));
             sc[ib/4] |= (l << 3*(ib%4));
-#endif
             y[ibl].qh[ib] |= masks[shifts[ib]];
             const float * xb = xbl + block_size*ib;
             if (quant_weights) {
@@ -11967,14 +13679,10 @@ static void quantize_row_iq1_m_impl(const float * restrict x, void * restrict vy
         }
         if (sumq2_f > 0) d = sumqx_f/sumq2_f;
         s.f16 = GGML_FP32_TO_FP16(d*1.1125f); // 1.1125f is another fudge factor. Don't ask me why it is needed.
-#if QK_K == 64
-        y[ibl].d = s.f16;
-#else
         sc[0] |= ((s.u16 & 0x000f) << 12);
         sc[1] |= ((s.u16 & 0x00f0) <<  8);
         sc[2] |= ((s.u16 & 0x0f00) <<  4);
         sc[3] |= ((s.u16 & 0xf000) <<  0);
-#endif
     }
 }
 
@@ -12040,7 +13748,7 @@ static void quantize_row_iq4_nl_impl(const int super_block_size, const int block
                 amax = ax; max = xb[j];
             }
         }
-        if (!amax) {
+        if (amax < GROUP_MAX_EPS) {
             scales[ib] = 0;
             continue;
         }
@@ -12163,9 +13871,6 @@ void quantize_row_iq4_nl_reference(const float * restrict x, block_iq4_nl * rest
 }
 
 size_t quantize_iq4_xs(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
-#if QK_K == 64
-    return quantize_iq4_nl(src, dst, nrow, n_per_row, quant_weights);
-#else
     GGML_ASSERT(n_per_row%QK_K == 0);
     int64_t nblock = n_per_row/QK_K;
     char * qrow = (char *)dst;
@@ -12183,7 +13888,6 @@ size_t quantize_iq4_xs(const float * restrict src, void * restrict dst, int64_t
         qrow += nblock*sizeof(block_iq4_xs);
     }
     return nrow * nblock * sizeof(block_iq4_xs);
-#endif
 }
 
 void quantize_row_iq4_xs(const float * restrict x, void * restrict vy, int64_t k) {
@@ -12261,7 +13965,7 @@ static void quantize_row_iq2_s_impl(const float * restrict x, void * restrict vy
             }
             float max = xval[0];
             for (int i = 1; i < 16; ++i) max = MAX(max, xval[i]);
-            if (!max) {
+            if (max < GROUP_MAX_EPS_IQ2_S) {
                 scales[ib] = 0;
                 continue;
             }
@@ -12595,19 +14299,11 @@ bool ggml_validate_row_data(enum ggml_type type, const void * data, size_t nbyte
             } break;
         case GGML_TYPE_Q4_K:
             {
-            #ifdef GGML_QKK_64
-                VALIDATE_ROW_DATA_DM_F16_IMPL(block_q4_K, data, nb, d[0], d[1]);
-            #else
                 VALIDATE_ROW_DATA_DM_F16_IMPL(block_q4_K, data, nb, d, dmin);
-            #endif
             } break;
         case GGML_TYPE_Q5_K:
             {
-            #ifdef GGML_QKK_64
-                VALIDATE_ROW_DATA_D_F16_IMPL(block_q5_K, data, nb);
-            #else
                 VALIDATE_ROW_DATA_DM_F16_IMPL(block_q5_K, data, nb, d, dmin);
-            #endif
             } break;
         case GGML_TYPE_Q6_K:
             {
@@ -12630,18 +14326,12 @@ bool ggml_validate_row_data(enum ggml_type type, const void * data, size_t nbyte
             {
                 const block_iq1_m * q = (const block_iq1_m *) data;
                 for (size_t i = 0; i < nb; ++i) {
-                #if QK_K == 64
-                    if (!validate_fp16(q[i].d, i)) {
-                        return false;
-                    }
-                #else
                     iq1m_scale_t scale;
                     const uint16_t * sc = (const uint16_t *)q[i].scales;
                     scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
                     if (!validate_fp16(scale.f16, i)) {
                         return false;
                     }
-                #endif
                 }
             } break;
         case GGML_TYPE_IQ2_XXS:
@@ -12666,12 +14356,9 @@ bool ggml_validate_row_data(enum ggml_type type, const void * data, size_t nbyte
                 VALIDATE_ROW_DATA_D_F16_IMPL(block_iq3_s, data, nb);
             } break;
         case GGML_TYPE_IQ4_XS:
-        #if QK_K != 64
             {
                 VALIDATE_ROW_DATA_D_F16_IMPL(block_iq4_xs, data, nb);
             } break;
-        #endif
-        // with QK_K == 64, iq4_xs is iq4_nl
         case GGML_TYPE_IQ4_NL:
             {
                 VALIDATE_ROW_DATA_D_F16_IMPL(block_iq4_nl, data, nb);
diff --git a/ggml-rpc.cpp b/ggml-rpc.cpp
new file mode 100644
index 000000000..679ce4f28
--- /dev/null
+++ b/ggml-rpc.cpp
@@ -0,0 +1,1172 @@
+#include "ggml-rpc.h"
+#include "ggml.h"
+#include "ggml-backend-impl.h"
+
+#include <cinttypes>
+#include <string>
+#include <vector>
+#include <memory>
+#include <mutex>
+#include <unordered_map>
+#include <unordered_set>
+#ifdef _WIN32
+#  define WIN32_LEAN_AND_MEAN
+#  ifndef NOMINMAX
+#     define NOMINMAX
+#  endif
+#  include <windows.h>
+#  include <winsock2.h>
+#else
+#  include <arpa/inet.h>
+#  include <sys/socket.h>
+#  include <sys/types.h>
+#  include <netinet/in.h>
+#  include <netinet/tcp.h>
+#  include <netdb.h>
+#  include <unistd.h>
+#endif
+#include <string.h>
+
+#define UNUSED GGML_UNUSED
+
+#define GGML_DEBUG 0
+#if (GGML_DEBUG >= 1)
+#define GGML_PRINT_DEBUG(...) printf(__VA_ARGS__)
+#else
+#define GGML_PRINT_DEBUG(...)
+#endif
+
+#ifdef _WIN32
+typedef SOCKET sockfd_t;
+using ssize_t = __int64;
+#else
+typedef int sockfd_t;
+#endif
+
+// cross-platform socket
+struct socket_t {
+    sockfd_t fd;
+    socket_t(sockfd_t fd) : fd(fd) {}
+    ~socket_t() {
+        GGML_PRINT_DEBUG("[%s] closing socket %d\n", __func__, this->fd);
+#ifdef _WIN32
+        closesocket(this->fd);
+#else
+        close(this->fd);
+#endif
+    }
+};
+
+// ggml_tensor is serialized into rpc_tensor
+#pragma pack(push, 1)
+struct rpc_tensor {
+    uint64_t id;
+    uint32_t type;
+    uint64_t buffer;
+    uint32_t ne[GGML_MAX_DIMS];
+    uint32_t nb[GGML_MAX_DIMS];
+    uint32_t op;
+    int32_t  op_params[GGML_MAX_OP_PARAMS / sizeof(int32_t)];
+    int32_t  flags;
+    uint64_t src[GGML_MAX_SRC];
+    uint64_t view_src;
+    uint64_t view_offs;
+    uint64_t data;
+    char name[GGML_MAX_NAME];
+};
+#pragma pack(pop)
+
+// RPC commands
+enum rpc_cmd {
+    ALLOC_BUFFER = 0,
+    GET_ALIGNMENT,
+    GET_MAX_SIZE,
+    BUFFER_GET_BASE,
+    FREE_BUFFER,
+    BUFFER_CLEAR,
+    SET_TENSOR,
+    GET_TENSOR,
+    COPY_TENSOR,
+    GRAPH_COMPUTE,
+    GET_DEVICE_MEMORY,
+};
+
+// RPC data structures
+
+static ggml_guid_t ggml_backend_rpc_guid() {
+    static ggml_guid guid = {0x99, 0x68, 0x5b, 0x6c, 0xd2, 0x83, 0x3d, 0x24, 0x25, 0x36, 0x72, 0xe1, 0x5b, 0x0e, 0x14, 0x03};
+    return &guid;
+}
+
+struct ggml_backend_rpc_buffer_type_context {
+    std::string endpoint;
+    std::string name;
+    size_t alignment;
+    size_t max_size;
+};
+
+struct ggml_backend_rpc_context {
+    std::string endpoint;
+    std::string name;
+};
+
+struct ggml_backend_rpc_buffer_context {
+    std::shared_ptr<socket_t> sock;
+    std::unordered_map<ggml_backend_buffer_t, void *> base_cache;
+    uint64_t remote_ptr;
+    std::string name;
+};
+
+// RPC helper functions
+
+static std::shared_ptr<socket_t> make_socket(sockfd_t fd) {
+#ifdef _WIN32
+    if (fd == INVALID_SOCKET) {
+        return nullptr;
+    }
+#else
+    if (fd < 0) {
+        return nullptr;
+    }
+#endif
+    return std::make_shared<socket_t>(fd);
+}
+
+static bool set_no_delay(sockfd_t sockfd) {
+    int flag = 1;
+    // set TCP_NODELAY to disable Nagle's algorithm
+    int ret = setsockopt(sockfd, IPPROTO_TCP, TCP_NODELAY, (char *)&flag, sizeof(int));
+    return ret == 0;
+}
+
+static bool set_reuse_addr(sockfd_t sockfd) {
+    int flag = 1;
+    int ret = setsockopt(sockfd, SOL_SOCKET, SO_REUSEADDR, (char *)&flag, sizeof(int));
+    return ret == 0;
+}
+
+static std::shared_ptr<socket_t> socket_connect(const char * host, int port) {
+    struct sockaddr_in addr;
+    auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
+    auto sock_ptr = make_socket(sockfd);
+    if (sock_ptr == nullptr) {
+        return nullptr;
+    }
+    if (!set_no_delay(sockfd)) {
+        fprintf(stderr, "Failed to set TCP_NODELAY\n");
+        return nullptr;
+    }
+    addr.sin_family = AF_INET;
+    addr.sin_port = htons(port);
+    struct hostent * server = gethostbyname(host);
+    if (server == NULL) {
+        fprintf(stderr, "Cannot resolve host '%s'\n", host);
+        return nullptr;
+    }
+    memcpy(&addr.sin_addr.s_addr, server->h_addr, server->h_length);
+    if (connect(sock_ptr->fd, (struct sockaddr *)&addr, sizeof(addr)) < 0) {
+        return nullptr;
+    }
+    return sock_ptr;
+}
+
+static std::shared_ptr<socket_t> socket_accept(sockfd_t srv_sockfd) {
+    auto client_socket_fd = accept(srv_sockfd, NULL, NULL);
+    auto client_socket = make_socket(client_socket_fd);
+    if (client_socket == nullptr) {
+        return nullptr;
+    }
+    if (!set_no_delay(client_socket_fd)) {
+        fprintf(stderr, "Failed to set TCP_NODELAY\n");
+        return nullptr;
+    }
+    return client_socket;
+}
+
+static std::shared_ptr<socket_t> create_server_socket(const char * host, int port) {
+    auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
+    auto sock = make_socket(sockfd);
+    if (sock == nullptr) {
+        return nullptr;
+    }
+    if (!set_reuse_addr(sockfd)) {
+        fprintf(stderr, "Failed to set SO_REUSEADDR\n");
+        return nullptr;
+    }
+    struct sockaddr_in serv_addr;
+    serv_addr.sin_family = AF_INET;
+    serv_addr.sin_addr.s_addr = inet_addr(host);
+    serv_addr.sin_port = htons(port);
+
+    if (bind(sockfd, (struct sockaddr *) &serv_addr, sizeof(serv_addr)) < 0) {
+        return nullptr;
+    }
+    if (listen(sockfd, 1) < 0) {
+        return nullptr;
+    }
+    return sock;
+}
+
+static bool send_data(sockfd_t sockfd, const void * data, size_t size) {
+    size_t bytes_sent = 0;
+    while (bytes_sent < size) {
+        ssize_t n = send(sockfd, (const char *)data + bytes_sent, size - bytes_sent, 0);
+        if (n < 0) {
+            return false;
+        }
+        bytes_sent += n;
+    }
+    return true;
+}
+
+static bool recv_data(sockfd_t sockfd, void * data, size_t size) {
+    size_t bytes_recv = 0;
+    while (bytes_recv < size) {
+        ssize_t n = recv(sockfd, (char *)data + bytes_recv, size - bytes_recv, 0);
+        if (n <= 0) {
+            return false;
+        }
+        bytes_recv += n;
+    }
+    return true;
+}
+
+static bool parse_endpoint(const std::string & endpoint, std::string & host, int & port) {
+    size_t pos = endpoint.find(':');
+    if (pos == std::string::npos) {
+        return false;
+    }
+    host = endpoint.substr(0, pos);
+    port = std::stoi(endpoint.substr(pos + 1));
+    return true;
+}
+
+// RPC request : | rpc_cmd (1 byte) | request_size (8 bytes) | request_data (request_size bytes) |
+// RPC response: | response_size (8 bytes) | response_data (response_size bytes) |
+static bool send_rpc_cmd(const std::shared_ptr<socket_t> & sock, enum rpc_cmd cmd, const std::vector<uint8_t> & input, std::vector<uint8_t> & output) {
+    uint8_t cmd_byte = cmd;
+    if (!send_data(sock->fd, &cmd_byte, sizeof(cmd_byte))) {
+        return false;
+    }
+    uint64_t input_size = input.size();
+    if (!send_data(sock->fd, &input_size, sizeof(input_size))) {
+        return false;
+    }
+    if (!send_data(sock->fd, input.data(), input.size())) {
+        return false;
+    }
+    uint64_t output_size;
+    if (!recv_data(sock->fd, &output_size, sizeof(output_size))) {
+        return false;
+    }
+    if (output_size == 0) {
+        output.clear();
+        return true;
+    }
+    output.resize(output_size);
+    if (!recv_data(sock->fd, output.data(), output_size)) {
+        return false;
+    }
+    return true;
+}
+
+// RPC client-side implementation
+
+static std::shared_ptr<socket_t> get_socket(const std::string & endpoint) {
+    static std::mutex mutex;
+    std::lock_guard<std::mutex> lock(mutex);
+    static std::unordered_map<std::string, std::weak_ptr<socket_t>> sockets;
+    static bool initialized = false;
+
+    auto it = sockets.find(endpoint);
+    if (it != sockets.end()) {
+        if (auto sock = it->second.lock()) {
+            return sock;
+        }
+    }
+    std::string host;
+    int port;
+    if (!parse_endpoint(endpoint, host, port)) {
+        return nullptr;
+    }
+#ifdef _WIN32
+    if (!initialized) {
+        WSADATA wsaData;
+        int res = WSAStartup(MAKEWORD(2, 2), &wsaData);
+        if (res != 0) {
+            return nullptr;
+        }
+        initialized = true;
+    }
+#else
+    UNUSED(initialized);
+#endif
+    auto sock = socket_connect(host.c_str(), port);
+    if (sock == nullptr) {
+        return nullptr;
+    }
+    GGML_PRINT_DEBUG("[%s] connected to %s, sockfd=%d\n", __func__, endpoint.c_str(), sock->fd);
+    sockets[endpoint] = sock;
+    return sock;
+}
+
+GGML_CALL static const char * ggml_backend_rpc_buffer_get_name(ggml_backend_buffer_t buffer) {
+    ggml_backend_rpc_buffer_context * ctx = (ggml_backend_rpc_buffer_context *)buffer->context;
+    return ctx->name.c_str();
+}
+
+GGML_CALL static void ggml_backend_rpc_buffer_free_buffer(ggml_backend_buffer_t buffer) {
+    ggml_backend_rpc_buffer_context * ctx = (ggml_backend_rpc_buffer_context *)buffer->context;
+    // input serialization format: | remote_ptr (8 bytes) |
+    std::vector<uint8_t> input(sizeof(uint64_t), 0);
+    uint64_t remote_ptr = ctx->remote_ptr;
+    memcpy(input.data(), &remote_ptr, sizeof(remote_ptr));
+    std::vector<uint8_t> output;
+    bool status = send_rpc_cmd(ctx->sock, FREE_BUFFER, input, output);
+    GGML_ASSERT(status);
+    GGML_ASSERT(output.empty());
+    delete ctx;
+}
+
+GGML_CALL static void * ggml_backend_rpc_buffer_get_base(ggml_backend_buffer_t buffer) {
+    ggml_backend_rpc_buffer_context * ctx = (ggml_backend_rpc_buffer_context *)buffer->context;
+    if (ctx->base_cache.find(buffer) != ctx->base_cache.end()) {
+        return ctx->base_cache[buffer];
+    }
+    // input serialization format: | remote_ptr (8 bytes) |
+    std::vector<uint8_t> input(sizeof(uint64_t), 0);
+    uint64_t remote_ptr = ctx->remote_ptr;
+    memcpy(input.data(), &remote_ptr, sizeof(remote_ptr));
+    std::vector<uint8_t> output;
+    bool status = send_rpc_cmd(ctx->sock, BUFFER_GET_BASE, input, output);
+    GGML_ASSERT(status);
+    GGML_ASSERT(output.size() == sizeof(uint64_t));
+    // output serialization format: | base_ptr (8 bytes) |
+    uint64_t base_ptr;
+    memcpy(&base_ptr, output.data(), sizeof(base_ptr));
+    void * base = reinterpret_cast<void *>(base_ptr);
+    ctx->base_cache[buffer] = base;
+    return base;
+}
+
+static rpc_tensor serialize_tensor(const ggml_tensor * tensor) {
+    rpc_tensor result;
+    result.id = reinterpret_cast<uint64_t>(tensor);
+    result.type = tensor->type;
+    if (tensor->buffer) {
+        ggml_backend_buffer_t buffer = tensor->buffer;
+        ggml_backend_rpc_buffer_context * ctx = (ggml_backend_rpc_buffer_context *)buffer->context;
+        result.buffer = ctx->remote_ptr;
+    } else {
+        result.buffer = 0;
+    }
+    for (uint32_t i = 0; i < GGML_MAX_DIMS; i++) {
+        result.ne[i] = tensor->ne[i];
+        result.nb[i] = tensor->nb[i];
+    }
+    result.op = tensor->op;
+    for (uint32_t i = 0; i < GGML_MAX_OP_PARAMS / sizeof(int32_t); i++) {
+        result.op_params[i] = tensor->op_params[i];
+    }
+    result.flags = tensor->flags;
+    for (uint32_t i = 0; i < GGML_MAX_SRC; i++) {
+        result.src[i] = reinterpret_cast<uint64_t>(tensor->src[i]);
+    }
+    result.view_src = reinterpret_cast<uint64_t>(tensor->view_src);
+    result.view_offs = tensor->view_offs;
+    result.data = reinterpret_cast<uint64_t>(tensor->data);
+    snprintf(result.name, GGML_MAX_NAME, "%s", tensor->name);
+    return result;
+}
+
+GGML_CALL static void ggml_backend_rpc_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) {
+    UNUSED(buffer);
+    if (ggml_is_quantized(tensor->type)) {
+        // TODO: this check is due to MATRIX_ROW_PADDING in CUDA and should be generalized
+        GGML_ASSERT(tensor->ne[0] % 512 == 0 && "unsupported quantized tensor");
+    }
+}
+
+GGML_CALL static void ggml_backend_rpc_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
+    ggml_backend_rpc_buffer_context * ctx = (ggml_backend_rpc_buffer_context *)buffer->context;
+    // input serialization format: | rpc_tensor | offset (8 bytes) | data (size bytes) |
+    size_t input_size = sizeof(rpc_tensor) + sizeof(uint64_t) + size;
+    std::vector<uint8_t> input(input_size, 0);
+    rpc_tensor rpc_tensor = serialize_tensor(tensor);
+    memcpy(input.data(), &rpc_tensor, sizeof(rpc_tensor));
+    memcpy(input.data() + sizeof(rpc_tensor), &offset, sizeof(offset));
+    memcpy(input.data() + sizeof(rpc_tensor) + sizeof(offset), data, size);
+    std::vector<uint8_t> output;
+    bool status = send_rpc_cmd(ctx->sock, SET_TENSOR, input, output);
+    GGML_ASSERT(status);
+}
+
+GGML_CALL static void ggml_backend_rpc_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
+    ggml_backend_rpc_buffer_context * ctx = (ggml_backend_rpc_buffer_context *)buffer->context;
+    // input serialization format: | rpc_tensor | offset (8 bytes) | size (8 bytes) |
+    int input_size = sizeof(rpc_tensor) + 2*sizeof(uint64_t);
+    std::vector<uint8_t> input(input_size, 0);
+    rpc_tensor rpc_tensor = serialize_tensor(tensor);
+    memcpy(input.data(), &rpc_tensor, sizeof(rpc_tensor));
+    memcpy(input.data() + sizeof(rpc_tensor), &offset, sizeof(offset));
+    memcpy(input.data() + sizeof(rpc_tensor) + sizeof(offset), &size, sizeof(size));
+    std::vector<uint8_t> output;
+    bool status = send_rpc_cmd(ctx->sock, GET_TENSOR, input, output);
+    GGML_ASSERT(status);
+    GGML_ASSERT(output.size() == size);
+    // output serialization format: | data (size bytes) |
+    memcpy(data, output.data(), size);
+}
+
+GGML_CALL static bool ggml_backend_rpc_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * src, ggml_tensor * dst) {
+    // check if src and dst are on the same server
+    ggml_backend_buffer_t src_buffer = src->buffer;
+    ggml_backend_rpc_buffer_context * src_ctx = (ggml_backend_rpc_buffer_context *)src_buffer->context;
+    ggml_backend_buffer_t dst_buffer = dst->buffer;
+    ggml_backend_rpc_buffer_context * dst_ctx = (ggml_backend_rpc_buffer_context *)dst_buffer->context;
+    if (src_ctx->sock != dst_ctx->sock) {
+        return false;
+    }
+    ggml_backend_rpc_buffer_context * ctx = (ggml_backend_rpc_buffer_context *)buffer->context;
+    // input serialization format: | rpc_tensor src | rpc_tensor dst |
+    int input_size = 2*sizeof(rpc_tensor);
+    std::vector<uint8_t> input(input_size, 0);
+    rpc_tensor rpc_src = serialize_tensor(src);
+    rpc_tensor rpc_dst = serialize_tensor(dst);
+    memcpy(input.data(), &rpc_src, sizeof(rpc_src));
+    memcpy(input.data() + sizeof(rpc_src), &rpc_dst, sizeof(rpc_dst));
+    std::vector<uint8_t> output;
+    bool status = send_rpc_cmd(ctx->sock, COPY_TENSOR, input, output);
+    GGML_ASSERT(status);
+    // output serialization format: | result (1 byte) |
+    GGML_ASSERT(output.size() == 1);
+    return output[0];
+}
+
+GGML_CALL static void ggml_backend_rpc_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) {
+    ggml_backend_rpc_buffer_context * ctx = (ggml_backend_rpc_buffer_context *)buffer->context;
+    // serialization format: | bufptr (8 bytes) | value (1 byte) |
+    int input_size = sizeof(uint64_t) + sizeof(uint8_t);
+    std::vector<uint8_t> input(input_size, 0);
+    memcpy(input.data(), &ctx->remote_ptr, sizeof(ctx->remote_ptr));
+    memcpy(input.data() + sizeof(ctx->remote_ptr), &value, sizeof(value));
+    std::vector<uint8_t> output;
+    bool status = send_rpc_cmd(ctx->sock, BUFFER_CLEAR, input, output);
+    GGML_ASSERT(status);
+}
+
+static ggml_backend_buffer_i ggml_backend_rpc_buffer_interface = {
+    /* .get_name        = */ ggml_backend_rpc_buffer_get_name,
+    /* .free_buffer     = */ ggml_backend_rpc_buffer_free_buffer,
+    /* .get_base        = */ ggml_backend_rpc_buffer_get_base,
+    /* .init_tensor     = */ ggml_backend_rpc_buffer_init_tensor,
+    /* .set_tensor      = */ ggml_backend_rpc_buffer_set_tensor,
+    /* .get_tensor      = */ ggml_backend_rpc_buffer_get_tensor,
+    /* .cpy_tensor      = */ ggml_backend_rpc_buffer_cpy_tensor,
+    /* .clear           = */ ggml_backend_rpc_buffer_clear,
+    /* .reset           = */ NULL,
+};
+
+GGML_CALL static const char * ggml_backend_rpc_buffer_type_name(ggml_backend_buffer_type_t buft) {
+    ggml_backend_rpc_buffer_type_context * buft_ctx = (ggml_backend_rpc_buffer_type_context *)buft->context;
+    return buft_ctx->name.c_str();
+}
+
+GGML_CALL static ggml_backend_buffer_t ggml_backend_rpc_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) {
+    ggml_backend_rpc_buffer_type_context * buft_ctx = (ggml_backend_rpc_buffer_type_context *)buft->context;
+    // input serialization format: | size (8 bytes) |
+    int input_size = sizeof(uint64_t);
+    std::vector<uint8_t> input(input_size, 0);
+    memcpy(input.data(), &size, sizeof(size));
+    std::vector<uint8_t> output;
+    auto sock = get_socket(buft_ctx->endpoint);
+    bool status = send_rpc_cmd(sock, ALLOC_BUFFER, input, output);
+    GGML_ASSERT(status);
+    GGML_ASSERT(output.size() == 2*sizeof(uint64_t));
+    // output serialization format: | remote_ptr (8 bytes) | remote_size (8 bytes) |
+    uint64_t remote_ptr;
+    memcpy(&remote_ptr, output.data(), sizeof(remote_ptr));
+    size_t remote_size;
+    memcpy(&remote_size, output.data() + sizeof(uint64_t), sizeof(remote_size));
+    if (remote_ptr != 0) {
+        ggml_backend_buffer_t buffer = ggml_backend_buffer_init(buft,
+            ggml_backend_rpc_buffer_interface,
+            new ggml_backend_rpc_buffer_context{sock, {}, remote_ptr, "RPC[" + std::string(buft_ctx->endpoint) + "]"},
+            remote_size);
+        return buffer;
+    } else {
+        return nullptr;
+    }
+}
+
+static size_t get_alignment(const std::shared_ptr<socket_t> & sock) {
+    // input serialization format: | 0 bytes |
+    std::vector<uint8_t> input;
+    std::vector<uint8_t> output;
+    bool status = send_rpc_cmd(sock, GET_ALIGNMENT, input, output);
+    GGML_ASSERT(status);
+    GGML_ASSERT(output.size() == sizeof(uint64_t));
+    // output serialization format: | alignment (8 bytes) |
+    uint64_t alignment;
+    memcpy(&alignment, output.data(), sizeof(alignment));
+    return alignment;
+}
+
+GGML_CALL static size_t ggml_backend_rpc_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) {
+    ggml_backend_rpc_buffer_type_context * buft_ctx = (ggml_backend_rpc_buffer_type_context *)buft->context;
+    return buft_ctx->alignment;
+}
+
+static size_t get_max_size(const std::shared_ptr<socket_t> & sock) {
+    // input serialization format: | 0 bytes |
+    std::vector<uint8_t> input;
+    std::vector<uint8_t> output;
+    bool status = send_rpc_cmd(sock, GET_MAX_SIZE, input, output);
+    GGML_ASSERT(status);
+    GGML_ASSERT(output.size() == sizeof(uint64_t));
+    // output serialization format: | max_size (8 bytes) |
+    uint64_t max_size;
+    memcpy(&max_size, output.data(), sizeof(max_size));
+    return max_size;
+}
+
+GGML_CALL static size_t ggml_backend_rpc_get_max_size(ggml_backend_buffer_type_t buft) {
+    ggml_backend_rpc_buffer_type_context * buft_ctx = (ggml_backend_rpc_buffer_type_context *)buft->context;
+    return buft_ctx->max_size;
+}
+
+GGML_CALL static size_t ggml_backend_rpc_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const ggml_tensor * tensor) {
+    UNUSED(buft);
+    return ggml_nbytes(tensor);
+}
+
+GGML_CALL static bool ggml_backend_rpc_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) {
+    if (!ggml_backend_is_rpc(backend)) {
+        return false;
+    }
+    ggml_backend_rpc_buffer_type_context * buft_ctx = (ggml_backend_rpc_buffer_type_context *)buft->context;
+    ggml_backend_rpc_context * rpc_ctx = (ggml_backend_rpc_context *)backend->context;
+    return buft_ctx->endpoint == rpc_ctx->endpoint;
+}
+
+static ggml_backend_buffer_type_i ggml_backend_rpc_buffer_type_interface = {
+    /* .get_name         = */ ggml_backend_rpc_buffer_type_name,
+    /* .alloc_buffer     = */ ggml_backend_rpc_buffer_type_alloc_buffer,
+    /* .get_alignment    = */ ggml_backend_rpc_buffer_type_get_alignment,
+    /* .get_max_size     = */ ggml_backend_rpc_get_max_size,
+    /* .get_alloc_size   = */ ggml_backend_rpc_buffer_type_get_alloc_size,
+    /* .supports_backend = */ ggml_backend_rpc_buffer_type_supports_backend,
+    /* .is_host          = */ NULL,
+};
+
+GGML_CALL static const char * ggml_backend_rpc_name(ggml_backend_t backend) {
+    ggml_backend_rpc_context * rpc_ctx = (ggml_backend_rpc_context *)backend->context;
+
+    return rpc_ctx->name.c_str();
+}
+
+GGML_CALL static void ggml_backend_rpc_free(ggml_backend_t backend) {
+    ggml_backend_rpc_context * rpc_ctx = (ggml_backend_rpc_context *)backend->context;
+    delete rpc_ctx;
+    delete backend;
+}
+
+GGML_CALL static ggml_backend_buffer_type_t ggml_backend_rpc_get_default_buffer_type(ggml_backend_t backend) {
+    ggml_backend_rpc_context * ctx = (ggml_backend_rpc_context *)backend->context;
+    return ggml_backend_rpc_buffer_type(ctx->endpoint.c_str());
+}
+
+GGML_CALL static void ggml_backend_rpc_synchronize(ggml_backend_t backend) {
+    UNUSED(backend);
+    // this is no-op because we don't have any async operations
+}
+
+static void add_tensor(ggml_tensor * tensor, std::vector<rpc_tensor> & tensors, std::unordered_set<ggml_tensor*> & visited) {
+    if (tensor == nullptr) {
+        return;
+    }
+    if (visited.find(tensor) != visited.end()) {
+        return;
+    }
+    visited.insert(tensor);
+    for (int i = 0; i < GGML_MAX_SRC; i++) {
+        add_tensor(tensor->src[i], tensors, visited);
+    }
+    add_tensor(tensor->view_src, tensors, visited);
+    tensors.push_back(serialize_tensor(tensor));
+}
+
+static void serialize_graph(const ggml_cgraph * cgraph, std::vector<uint8_t> & output) {
+    uint32_t n_nodes = cgraph->n_nodes;
+    std::vector<rpc_tensor> tensors;
+    std::unordered_set<ggml_tensor*> visited;
+    for (uint32_t i = 0; i < n_nodes; i++) {
+        add_tensor(cgraph->nodes[i], tensors, visited);
+    }
+    // serialization format:
+    // | n_nodes (4 bytes) | nodes (n_nodes * sizeof(uint64_t) | n_tensors (4 bytes) | tensors (n_tensors * sizeof(rpc_tensor)) |
+    uint32_t n_tensors = tensors.size();
+    int output_size = sizeof(uint32_t) + n_nodes * sizeof(uint64_t) + sizeof(uint32_t) + n_tensors * sizeof(rpc_tensor);
+    output.resize(output_size, 0);
+    memcpy(output.data(), &n_nodes, sizeof(n_nodes));
+    uint64_t * out_nodes = (uint64_t *)(output.data() + sizeof(n_nodes));
+    for (uint32_t i = 0; i < n_nodes; i++) {
+        out_nodes[i] = reinterpret_cast<uint64_t>(cgraph->nodes[i]);
+    }
+    uint32_t * out_ntensors = (uint32_t *)(output.data() + sizeof(n_nodes) + n_nodes * sizeof(uint64_t));
+    *out_ntensors = n_tensors;
+    rpc_tensor * out_tensors = (rpc_tensor *)(output.data() + sizeof(n_nodes) + n_nodes * sizeof(uint64_t) + sizeof(uint32_t));
+    memcpy(out_tensors, tensors.data(), n_tensors * sizeof(rpc_tensor));
+}
+
+GGML_CALL static enum ggml_status ggml_backend_rpc_graph_compute(ggml_backend_t backend, ggml_cgraph * cgraph) {
+    ggml_backend_rpc_context * rpc_ctx = (ggml_backend_rpc_context *)backend->context;
+    std::vector<uint8_t> input;
+    serialize_graph(cgraph, input);
+    std::vector<uint8_t> output;
+    auto sock = get_socket(rpc_ctx->endpoint);
+    bool status = send_rpc_cmd(sock, GRAPH_COMPUTE, input, output);
+    GGML_ASSERT(status);
+    GGML_ASSERT(output.size() == 1);
+    return (enum ggml_status)output[0];
+}
+
+GGML_CALL static bool ggml_backend_rpc_supports_op(ggml_backend_t backend, const ggml_tensor * op) {
+    UNUSED(backend);
+    UNUSED(op);
+    GGML_ASSERT(false && "not implemented");
+    return false;
+}
+
+static ggml_backend_i ggml_backend_rpc_interface = {
+    /* .get_name                = */ ggml_backend_rpc_name,
+    /* .free                    = */ ggml_backend_rpc_free,
+    /* .get_default_buffer_type = */ ggml_backend_rpc_get_default_buffer_type,
+    /* .set_tensor_async        = */ NULL,
+    /* .get_tensor_async        = */ NULL,
+    /* .cpy_tensor_async        = */ NULL,
+    /* .synchronize             = */ ggml_backend_rpc_synchronize,
+    /* .graph_plan_create       = */ NULL,
+    /* .graph_plan_free         = */ NULL,
+    /* .graph_plan_compute      = */ NULL,
+    /* .graph_compute           = */ ggml_backend_rpc_graph_compute,
+    /* .supports_op             = */ ggml_backend_rpc_supports_op,
+    /* .offload_op              = */ NULL,
+    /* .event_new               = */ NULL,
+    /* .event_free              = */ NULL,
+    /* .event_record            = */ NULL,
+    /* .event_wait              = */ NULL,
+    /* .event_synchronize       = */ NULL,
+};
+
+GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_rpc_buffer_type(const char * endpoint) {
+    static std::mutex mutex;
+    std::lock_guard<std::mutex> lock(mutex);
+    // NOTE: buffer types are allocated and never freed; this is by design
+    static std::unordered_map<std::string, ggml_backend_buffer_type_t> buft_map;
+    auto it = buft_map.find(endpoint);
+    if (it != buft_map.end()) {
+        return it->second;
+    }
+    auto sock = get_socket(endpoint);
+    if (sock == nullptr) {
+        return nullptr;
+    }
+    size_t alignment = get_alignment(sock);
+    size_t max_size = get_max_size(sock);
+    ggml_backend_rpc_buffer_type_context * buft_ctx = new ggml_backend_rpc_buffer_type_context {
+        /* .endpoint  = */ endpoint,
+        /* .name      = */ "RPC[" + std::string(endpoint) + "]",
+        /* .alignment = */ alignment,
+        /* .max_size  = */ max_size
+    };
+
+    ggml_backend_buffer_type_t buft = new ggml_backend_buffer_type {
+        /* .iface   = */ ggml_backend_rpc_buffer_type_interface,
+        /* .context = */ buft_ctx
+    };
+    buft_map[endpoint] = buft;
+    return buft;
+}
+
+GGML_CALL ggml_backend_t ggml_backend_rpc_init(const char * endpoint) {
+    ggml_backend_rpc_context * ctx = new ggml_backend_rpc_context {
+        /* .endpoint  = */ endpoint,
+        /* .name      = */ "RPC[" + std::string(endpoint) + "]",
+    };
+
+    ggml_backend_t backend = new ggml_backend {
+        /* .guid      = */ ggml_backend_rpc_guid(),
+        /* .interface = */ ggml_backend_rpc_interface,
+        /* .context   = */ ctx
+    };
+    return backend;
+}
+
+GGML_API GGML_CALL bool ggml_backend_is_rpc(ggml_backend_t backend) {
+    return backend != NULL && ggml_guid_matches(backend->guid, ggml_backend_rpc_guid());
+}
+
+static void get_device_memory(const std::shared_ptr<socket_t> & sock, size_t * free, size_t * total) {
+    // input serialization format: | 0 bytes |
+    std::vector<uint8_t> input;
+    std::vector<uint8_t> output;
+    bool status = send_rpc_cmd(sock, GET_DEVICE_MEMORY, input, output);
+    GGML_ASSERT(status);
+    GGML_ASSERT(output.size() == 2*sizeof(uint64_t));
+    // output serialization format: | free (8 bytes) | total (8 bytes) |
+    uint64_t free_mem;
+    memcpy(&free_mem, output.data(), sizeof(free_mem));
+    uint64_t total_mem;
+    memcpy(&total_mem, output.data() + sizeof(uint64_t), sizeof(total_mem));
+    *free = free_mem;
+    *total = total_mem;
+}
+
+GGML_API GGML_CALL void ggml_backend_rpc_get_device_memory(const char * endpoint, size_t * free, size_t * total) {
+    auto sock = get_socket(endpoint);
+    if (sock == nullptr) {
+        *free = 0;
+        *total = 0;
+        return;
+    }
+    get_device_memory(sock, free, total);
+}
+
+// RPC server-side implementation
+
+class rpc_server {
+public:
+    rpc_server(ggml_backend_t backend) : backend(backend) {}
+    ~rpc_server();
+
+    bool alloc_buffer(const std::vector<uint8_t> & input, std::vector<uint8_t> & output);
+    void get_alignment(std::vector<uint8_t> & output);
+    void get_max_size(std::vector<uint8_t> & output);
+    bool buffer_get_base(const std::vector<uint8_t> & input, std::vector<uint8_t> & output);
+    bool free_buffer(const std::vector<uint8_t> & input);
+    bool buffer_clear(const std::vector<uint8_t> & input);
+    bool set_tensor(const std::vector<uint8_t> & input);
+    bool get_tensor(const std::vector<uint8_t> & input, std::vector<uint8_t> & output);
+    bool copy_tensor(const std::vector<uint8_t> & input, std::vector<uint8_t> & output);
+    bool graph_compute(const std::vector<uint8_t> & input, std::vector<uint8_t> & output);
+
+private:
+    ggml_tensor * deserialize_tensor(struct ggml_context * ctx, const rpc_tensor * tensor);
+    ggml_tensor * create_node(uint64_t id,
+                              struct ggml_context * ctx,
+                              const std::unordered_map<uint64_t, const rpc_tensor*> & tensor_ptrs,
+                              std::unordered_map<uint64_t, struct ggml_tensor*> & tensor_map);
+
+
+    ggml_backend_t backend;
+    std::unordered_set<ggml_backend_buffer_t> buffers;
+};
+
+bool rpc_server::alloc_buffer(const std::vector<uint8_t> & input, std::vector<uint8_t> & output) {
+    // input serialization format: | size (8 bytes) |
+    if (input.size() != sizeof(uint64_t)) {
+        return false;
+    }
+    uint64_t size;
+    memcpy(&size, input.data(), sizeof(size));
+    ggml_backend_buffer_type_t buft = ggml_backend_get_default_buffer_type(backend);
+    ggml_backend_buffer_t buffer = ggml_backend_buft_alloc_buffer(buft, size);
+    uint64_t remote_ptr = 0;
+    uint64_t remote_size = 0;
+    if (buffer != nullptr) {
+        remote_ptr = reinterpret_cast<uint64_t>(buffer);
+        remote_size = buffer->size;
+        GGML_PRINT_DEBUG("[%s] size: %" PRIu64 " -> remote_ptr: %" PRIx64 ", remote_size: %" PRIu64 "\n", __func__, size, remote_ptr, remote_size);
+        buffers.insert(buffer);
+    } else {
+        GGML_PRINT_DEBUG("[%s] size: %" PRIu64 " -> failed\n", __func__, size);
+    }
+    // output serialization format: | remote_ptr (8 bytes) | remote_size (8 bytes) |
+    output.resize(2*sizeof(uint64_t), 0);
+    memcpy(output.data(), &remote_ptr, sizeof(remote_ptr));
+    memcpy(output.data() + sizeof(uint64_t), &remote_size, sizeof(remote_size));
+    return true;
+}
+
+void rpc_server::get_alignment(std::vector<uint8_t> & output) {
+    ggml_backend_buffer_type_t buft = ggml_backend_get_default_buffer_type(backend);
+    size_t alignment = ggml_backend_buft_get_alignment(buft);
+    GGML_PRINT_DEBUG("[%s] alignment: %lu\n", __func__, alignment);
+    // output serialization format: | alignment (8 bytes) |
+    output.resize(sizeof(uint64_t), 0);
+    memcpy(output.data(), &alignment, sizeof(alignment));
+}
+
+void rpc_server::get_max_size(std::vector<uint8_t> & output) {
+    ggml_backend_buffer_type_t buft = ggml_backend_get_default_buffer_type(backend);
+    size_t max_size = ggml_backend_buft_get_max_size(buft);
+    GGML_PRINT_DEBUG("[%s] max_size: %lu\n", __func__, max_size);
+    // output serialization format: | max_size (8 bytes) |
+    output.resize(sizeof(uint64_t), 0);
+    memcpy(output.data(), &max_size, sizeof(max_size));
+}
+
+bool rpc_server::buffer_get_base(const std::vector<uint8_t> & input, std::vector<uint8_t> & output) {
+    // input serialization format: | remote_ptr (8 bytes) |
+    if (input.size() != sizeof(uint64_t)) {
+        return false;
+    }
+    uint64_t remote_ptr;
+    memcpy(&remote_ptr, input.data(), sizeof(remote_ptr));
+    GGML_PRINT_DEBUG("[%s] remote_ptr: %" PRIx64 "\n", __func__, remote_ptr);
+    ggml_backend_buffer_t buffer = reinterpret_cast<ggml_backend_buffer_t>(remote_ptr);
+    if (buffers.find(buffer) == buffers.end()) {
+        GGML_PRINT_DEBUG("[%s] buffer not found\n", __func__);
+        return false;
+    }
+    void * base = ggml_backend_buffer_get_base(buffer);
+    // output serialization format: | base_ptr (8 bytes) |
+    uint64_t base_ptr = reinterpret_cast<uint64_t>(base);
+    output.resize(sizeof(uint64_t), 0);
+    memcpy(output.data(), &base_ptr, sizeof(base_ptr));
+    return true;
+}
+
+bool rpc_server::free_buffer(const std::vector<uint8_t> & input) {
+    // input serialization format: | remote_ptr (8 bytes) |
+    if (input.size() != sizeof(uint64_t)) {
+        return false;
+    }
+    uint64_t remote_ptr;
+    memcpy(&remote_ptr, input.data(), sizeof(remote_ptr));
+    GGML_PRINT_DEBUG("[%s] remote_ptr: %" PRIx64 "\n", __func__, remote_ptr);
+    ggml_backend_buffer_t buffer = reinterpret_cast<ggml_backend_buffer_t>(remote_ptr);
+    if (buffers.find(buffer) == buffers.end()) {
+        GGML_PRINT_DEBUG("[%s] buffer not found\n", __func__);
+        return false;
+    }
+    ggml_backend_buffer_free(buffer);
+    buffers.erase(buffer);
+    return true;
+}
+
+bool rpc_server::buffer_clear(const std::vector<uint8_t> & input) {
+    // input serialization format: | remote_ptr (8 bytes) | value (1 byte) |
+    if (input.size() != sizeof(uint64_t) + sizeof(uint8_t)) {
+        return false;
+    }
+    uint64_t remote_ptr;
+    memcpy(&remote_ptr, input.data(), sizeof(remote_ptr));
+    uint8_t value;
+    memcpy(&value, input.data() + sizeof(uint64_t), sizeof(value));
+    GGML_PRINT_DEBUG("[%s] remote_ptr: %" PRIx64 ", value: %u\n", __func__, remote_ptr, value);
+    ggml_backend_buffer_t buffer = reinterpret_cast<ggml_backend_buffer_t>(remote_ptr);
+    if (buffers.find(buffer) == buffers.end()) {
+        GGML_PRINT_DEBUG("[%s] buffer not found\n", __func__);
+        return false;
+    }
+    ggml_backend_buffer_clear(buffer, value);
+    return true;
+}
+
+ggml_tensor * rpc_server::deserialize_tensor(struct ggml_context * ctx, const rpc_tensor * tensor) {
+    ggml_tensor * result = ggml_new_tensor_4d(ctx, (ggml_type) tensor->type,
+        tensor->ne[0], tensor->ne[1], tensor->ne[2], tensor->ne[3]);
+    for (uint32_t i = 0; i < GGML_MAX_DIMS; i++) {
+        result->nb[i] = tensor->nb[i];
+    }
+    result->buffer = reinterpret_cast<ggml_backend_buffer_t>(tensor->buffer);
+    if (result->buffer && buffers.find(result->buffer) == buffers.end()) {
+        return nullptr;
+    }
+    result->op = (ggml_op) tensor->op;
+    for (uint32_t i = 0; i < GGML_MAX_OP_PARAMS / sizeof(int32_t); i++) {
+        result->op_params[i] = tensor->op_params[i];
+    }
+    result->flags = tensor->flags;
+    result->data = reinterpret_cast<void *>(tensor->data);
+    ggml_set_name(result, tensor->name);
+    return result;
+}
+
+
+bool rpc_server::set_tensor(const std::vector<uint8_t> & input) {
+    // serialization format: | rpc_tensor | offset (8 bytes) | data (size bytes) |
+    if (input.size() < sizeof(rpc_tensor) + sizeof(uint64_t)) {
+        return false;
+    }
+    const rpc_tensor * in_tensor = (const rpc_tensor *)input.data();
+    uint64_t offset;
+    memcpy(&offset, input.data() + sizeof(rpc_tensor), sizeof(offset));
+    size_t size = input.size() - sizeof(rpc_tensor) - sizeof(offset);
+
+    struct ggml_init_params params {
+        /*.mem_size   =*/ ggml_tensor_overhead(),
+        /*.mem_buffer =*/ NULL,
+        /*.no_alloc   =*/ true,
+    };
+    struct ggml_context * ctx = ggml_init(params);
+    ggml_tensor * tensor = deserialize_tensor(ctx, in_tensor);
+    if (tensor == nullptr) {
+        GGML_PRINT_DEBUG("[%s] error deserializing tensor\n", __func__);
+        ggml_free(ctx);
+        return false;
+    }
+    GGML_PRINT_DEBUG("[%s] buffer: %p, data: %p, offset: %" PRIu64 ", size: %zu\n", __func__, (void*)tensor->buffer, tensor->data, offset, size);
+    const void * data = input.data() + sizeof(rpc_tensor) + sizeof(offset);
+    ggml_backend_tensor_set(tensor, data, offset, size);
+    ggml_free(ctx);
+    return true;
+}
+
+bool rpc_server::get_tensor(const std::vector<uint8_t> & input, std::vector<uint8_t> & output) {
+    // serialization format: | rpc_tensor | offset (8 bytes) | size (8 bytes) |
+    if (input.size() != sizeof(rpc_tensor) + 2*sizeof(uint64_t)) {
+        return false;
+    }
+    const rpc_tensor * in_tensor = (const rpc_tensor *)input.data();
+    uint64_t offset;
+    memcpy(&offset, input.data() + sizeof(rpc_tensor), sizeof(offset));
+    uint64_t size;
+    memcpy(&size, input.data() + sizeof(rpc_tensor) + sizeof(offset), sizeof(size));
+
+    struct ggml_init_params params {
+        /*.mem_size   =*/ ggml_tensor_overhead(),
+        /*.mem_buffer =*/ NULL,
+        /*.no_alloc   =*/ true,
+    };
+    struct ggml_context * ctx = ggml_init(params);
+    ggml_tensor * tensor = deserialize_tensor(ctx, in_tensor);
+    if (tensor == nullptr) {
+        GGML_PRINT_DEBUG("[%s] error deserializing tensor\n", __func__);
+        ggml_free(ctx);
+        return false;
+    }
+    GGML_PRINT_DEBUG("[%s] buffer: %p, data: %p, offset: %" PRIu64 ", size: %" PRIu64 "\n", __func__, (void*)tensor->buffer, tensor->data, offset, size);
+    // output serialization format: | data (size bytes) |
+    output.resize(size, 0);
+    ggml_backend_tensor_get(tensor, output.data(), offset, size);
+    ggml_free(ctx);
+    return true;
+}
+
+bool rpc_server::copy_tensor(const std::vector<uint8_t> & input, std::vector<uint8_t> & output) {
+    // serialization format: | rpc_tensor src | rpc_tensor dst |
+    if (input.size() != 2*sizeof(rpc_tensor)) {
+        return false;
+    }
+    const rpc_tensor * rpc_src = (const rpc_tensor *)input.data();
+    const rpc_tensor * rpc_dst = (const rpc_tensor *)(input.data() + sizeof(rpc_src));
+
+    struct ggml_init_params params {
+        /*.mem_size   =*/ 2*ggml_tensor_overhead(),
+        /*.mem_buffer =*/ NULL,
+        /*.no_alloc   =*/ true,
+    };
+    struct ggml_context * ctx = ggml_init(params);
+    ggml_tensor * src = deserialize_tensor(ctx, rpc_src);
+    ggml_tensor * dst = deserialize_tensor(ctx, rpc_dst);
+    if (src == nullptr || dst == nullptr) {
+        GGML_PRINT_DEBUG("[%s] error deserializing tensors\n", __func__);
+        ggml_free(ctx);
+        return false;
+    }
+    GGML_PRINT_DEBUG("[%s] src->buffer: %p, dst->buffer: %p\n", __func__, (void*)src->buffer, (void*)dst->buffer);
+    bool result = ggml_backend_buffer_copy_tensor(src, dst);
+    // output serialization format: | result (1 byte) |
+    output.resize(1, 0);
+    output[0] = result;
+    ggml_free(ctx);
+    return true;
+}
+
+ggml_tensor * rpc_server::create_node(uint64_t id,
+                                      struct ggml_context * ctx,
+                                      const std::unordered_map<uint64_t, const rpc_tensor*> & tensor_ptrs,
+                                      std::unordered_map<uint64_t, struct ggml_tensor*> & tensor_map) {
+    if (id == 0) {
+        return nullptr;
+    }
+    if (tensor_map.find(id) != tensor_map.end()) {
+        return tensor_map[id];
+    }
+    const rpc_tensor * tensor = tensor_ptrs.at(id);
+    struct ggml_tensor * result = deserialize_tensor(ctx, tensor);
+    if (result == nullptr) {
+        return nullptr;
+    }
+    tensor_map[id] = result;
+    for (int i = 0; i < GGML_MAX_SRC; i++) {
+        result->src[i] = create_node(tensor->src[i], ctx, tensor_ptrs, tensor_map);
+    }
+    result->view_src = create_node(tensor->view_src, ctx, tensor_ptrs, tensor_map);
+    result->view_offs = tensor->view_offs;
+    return result;
+}
+
+bool rpc_server::graph_compute(const std::vector<uint8_t> & input, std::vector<uint8_t> & output) {
+    // serialization format:
+    // | n_nodes (4 bytes) | nodes (n_nodes * sizeof(uint64_t) | n_tensors (4 bytes) | tensors (n_tensors * sizeof(rpc_tensor)) |
+    if (input.size() < sizeof(uint32_t)) {
+        return false;
+    }
+    uint32_t n_nodes;
+    memcpy(&n_nodes, input.data(), sizeof(n_nodes));
+    if (input.size() < sizeof(uint32_t) + n_nodes*sizeof(uint64_t) + sizeof(uint32_t)) {
+        return false;
+    }
+    const uint64_t * nodes = (const uint64_t *)(input.data() + sizeof(n_nodes));
+    uint32_t n_tensors;
+    memcpy(&n_tensors, input.data() + sizeof(n_nodes) + n_nodes*sizeof(uint64_t), sizeof(n_tensors));
+    if (input.size() < sizeof(uint32_t) + n_nodes*sizeof(uint64_t) + sizeof(uint32_t) + n_tensors*sizeof(rpc_tensor)) {
+        return false;
+    }
+    const rpc_tensor * tensors = (const rpc_tensor *)(input.data() + sizeof(n_nodes) + n_nodes*sizeof(uint64_t) + sizeof(n_tensors));
+    GGML_PRINT_DEBUG("[%s] n_nodes: %u, n_tensors: %u\n", __func__, n_nodes, n_tensors);
+
+    static size_t buf_size = ggml_tensor_overhead()*(n_nodes + n_tensors) + ggml_graph_overhead_custom(n_nodes, false);
+    struct ggml_init_params params = {
+        /*.mem_size   =*/ buf_size,
+        /*.mem_buffer =*/ NULL,
+        /*.no_alloc   =*/ true,
+    };
+    struct ggml_context * ctx = ggml_init(params);
+    struct ggml_cgraph * graph = ggml_new_graph_custom(ctx, n_nodes, false);
+    graph->n_nodes = n_nodes;
+    std::unordered_map<uint64_t, const rpc_tensor*> tensor_ptrs;
+    for (uint32_t i = 0; i < n_tensors; i++) {
+        tensor_ptrs[tensors[i].id] = &tensors[i];
+    }
+    std::unordered_map<uint64_t, ggml_tensor*> tensor_map;
+    for (uint32_t i = 0; i < n_nodes; i++) {
+        graph->nodes[i] = create_node(nodes[i], ctx, tensor_ptrs, tensor_map);
+    }
+    ggml_status status = ggml_backend_graph_compute(backend, graph);
+    // output serialization format: | status (1 byte) |
+    output.resize(1, 0);
+    output[0] = status;
+    ggml_free(ctx);
+    return true;
+}
+
+rpc_server::~rpc_server() {
+    for (auto buffer : buffers) {
+        ggml_backend_buffer_free(buffer);
+    }
+}
+
+static void rpc_serve_client(ggml_backend_t backend, sockfd_t sockfd, size_t free_mem, size_t total_mem) {
+    rpc_server server(backend);
+    while (true) {
+        uint8_t cmd;
+        if (!recv_data(sockfd, &cmd, 1)) {
+            break;
+        }
+        std::vector<uint8_t> input;
+        std::vector<uint8_t> output;
+        uint64_t input_size;
+        if (!recv_data(sockfd, &input_size, sizeof(input_size))) {
+            break;
+        }
+        input.resize(input_size);
+        if (!recv_data(sockfd, input.data(), input_size)) {
+            break;
+        }
+        bool ok = true;
+        switch (cmd) {
+            case ALLOC_BUFFER: {
+                ok = server.alloc_buffer(input, output);
+                break;
+            }
+            case GET_ALIGNMENT: {
+                server.get_alignment(output);
+                break;
+            }
+            case GET_MAX_SIZE: {
+                server.get_max_size(output);
+                break;
+            }
+            case BUFFER_GET_BASE: {
+                ok = server.buffer_get_base(input, output);
+                break;
+            }
+            case FREE_BUFFER: {
+                ok = server.free_buffer(input);
+                break;
+            }
+            case BUFFER_CLEAR: {
+                ok = server.buffer_clear(input);
+                break;
+            }
+            case SET_TENSOR: {
+                ok = server.set_tensor(input);
+                break;
+            }
+            case GET_TENSOR: {
+                ok = server.get_tensor(input, output);
+                break;
+            }
+            case COPY_TENSOR: {
+                ok = server.copy_tensor(input, output);
+                break;
+            }
+            case GRAPH_COMPUTE: {
+                ok = server.graph_compute(input, output);
+                break;
+            }
+            case GET_DEVICE_MEMORY: {
+                // output serialization format: | free (8 bytes) | total (8 bytes) |
+                output.resize(2*sizeof(uint64_t), 0);
+                memcpy(output.data(), &free_mem, sizeof(free_mem));
+                memcpy(output.data() + sizeof(uint64_t), &total_mem, sizeof(total_mem));
+                break;
+            }
+            default: {
+                fprintf(stderr, "Unknown command: %d\n", cmd);
+                ok = false;
+            }
+        }
+        if (!ok) {
+            break;
+        }
+        uint64_t output_size = output.size();
+        if (!send_data(sockfd, &output_size, sizeof(output_size))) {
+            break;
+        }
+        if (!send_data(sockfd, output.data(), output_size)) {
+            break;
+        }
+    }
+}
+
+void start_rpc_server(ggml_backend_t backend, const char * endpoint, size_t free_mem, size_t total_mem) {
+    std::string host;
+    int port;
+    if (!parse_endpoint(endpoint, host, port)) {
+        return;
+    }
+#ifdef _WIN32
+    {
+        WSADATA wsaData;
+        int res = WSAStartup(MAKEWORD(2, 2), &wsaData);
+        if (res != 0) {
+            fprintf(stderr, "WSAStartup failed: %d\n", res);
+            return;
+        }
+    }
+#endif
+    auto server_socket = create_server_socket(host.c_str(), port);
+    if (server_socket == nullptr) {
+        fprintf(stderr, "Failed to create server socket\n");
+        return;
+    }
+    while (true) {
+        auto client_socket = socket_accept(server_socket->fd);
+        if (client_socket == nullptr) {
+            fprintf(stderr, "Failed to accept client connection\n");
+            return;
+        }
+        printf("Accepted client connection, free_mem=%zu, total_mem=%zu\n", free_mem, total_mem);
+        rpc_serve_client(backend, client_socket->fd, free_mem, total_mem);
+        printf("Client connection closed\n");
+    }
+#ifdef _WIN32
+    WSACleanup();
+#endif
+}
diff --git a/ggml-rpc.h b/ggml-rpc.h
new file mode 100644
index 000000000..aa144832a
--- /dev/null
+++ b/ggml-rpc.h
@@ -0,0 +1,24 @@
+#pragma once
+
+#include "ggml.h"
+#include "ggml-backend.h"
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+#define GGML_RPC_MAX_SERVERS       16
+
+// backend API
+GGML_API GGML_CALL ggml_backend_t ggml_backend_rpc_init(const char * endpoint);
+GGML_API GGML_CALL bool ggml_backend_is_rpc(ggml_backend_t backend);
+
+GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_rpc_buffer_type(const char * endpoint);
+
+GGML_API GGML_CALL void ggml_backend_rpc_get_device_memory(const char * endpoint, size_t * free, size_t * total);
+
+GGML_API GGML_CALL void start_rpc_server(ggml_backend_t backend, const char * endpoint, size_t free_mem, size_t total_mem);
+
+#ifdef  __cplusplus
+}
+#endif
diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp
index e93d2af63..3ff76474d 100644
--- a/ggml-sycl.cpp
+++ b/ggml-sycl.cpp
@@ -2944,6 +2944,57 @@ namespace dpct
     using shared_memory = detail::device_memory<T, shared, Dimension>;
 
 
+    template <typename T,
+            sycl::access::address_space addressSpace =
+                sycl::access::address_space::global_space,
+            sycl::memory_order memoryOrder = sycl::memory_order::relaxed,
+            sycl::memory_scope memoryScope = sycl::memory_scope::device>
+    inline T atomic_fetch_add(T *addr, T operand) {
+    auto atm =
+        sycl::atomic_ref<T, memoryOrder, memoryScope, addressSpace>(addr[0]);
+    return atm.fetch_add(operand);
+    }
+
+    template <sycl::access::address_space addressSpace =
+                sycl::access::address_space::global_space,
+            sycl::memory_order memoryOrder = sycl::memory_order::relaxed,
+            sycl::memory_scope memoryScope = sycl::memory_scope::device,
+            typename T1, typename T2>
+    inline T1 atomic_fetch_add(T1 *addr, T2 operand) {
+    auto atm =
+        sycl::atomic_ref<T1, memoryOrder, memoryScope, addressSpace>(addr[0]);
+    return atm.fetch_add(operand);
+    }
+
+    template <typename T, sycl::access::address_space addressSpace =
+                            sycl::access::address_space::global_space>
+    inline T atomic_fetch_add(T *addr, T operand,
+                            sycl::memory_order memoryOrder) {
+    switch (memoryOrder) {
+        case sycl::memory_order::relaxed:
+            return atomic_fetch_add<T, addressSpace, sycl::memory_order::relaxed,
+                                    sycl::memory_scope::device>(addr, operand);
+        case sycl::memory_order::acq_rel:
+            return atomic_fetch_add<T, addressSpace, sycl::memory_order::acq_rel,
+                                    sycl::memory_scope::device>(addr, operand);
+        case sycl::memory_order::seq_cst:
+            return atomic_fetch_add<T, addressSpace, sycl::memory_order::seq_cst,
+                                    sycl::memory_scope::device>(addr, operand);
+        default:
+            assert(false && "Invalid memory_order for atomics. Valid memory_order for "
+                            "atomics are: sycl::memory_order::relaxed, "
+                            "sycl::memory_order::acq_rel, sycl::memory_order::seq_cst!");
+        }
+    }
+
+    template <sycl::access::address_space addressSpace =
+                sycl::access::address_space::global_space,
+            typename T1, typename T2>
+    inline T1 atomic_fetch_add(T1 *addr, T2 operand,
+                            sycl::memory_order memoryOrder) {
+    atomic_fetch_add<T1, addressSpace>(addr, operand, memoryOrder);
+    }
+
 } // COPY from DPCT head files
 
 #define GGML_COMMON_DECL_SYCL
@@ -2971,20 +3022,19 @@ static int g_work_group_size = 0;
 // typedef sycl::half ggml_fp16_t;
 
 #define __SYCL_ARCH__ DPCT_COMPATIBILITY_TEMP
-#define VER_4VEC   610          //todo for hardward optimize.
+#define VER_4VEC   130          //todo for hardward optimize.
 #define VER_GEN9      700       //todo for hardward optimize.
 #define VER_GEN12 1000000       //todo for hardward optimize.
 #define VER_GEN13      (VER_GEN12 + 1030)   //todo for hardward optimize.
 
 #define GGML_SYCL_MAX_NODES 8192 //TODO: adapt to hardwares
 
-
-//define for XMX in Intel GPU
-//TODO: currently, it's not used for XMX really.
-#define SYCL_USE_XMX
+#if !defined(GGML_SYCL_FORCE_MMQ)
+    #define SYCL_USE_XMX
+#endif
 
 // max batch size to use MMQ kernels when tensor cores are available
-#define XMX_MAX_BATCH_SIZE 32
+#define MMQ_MAX_BATCH_SIZE 32
 
 
 #if defined(_MSC_VER)
@@ -3060,6 +3110,7 @@ void   ggml_sycl_get_device_description(int device, char * description, size_t d
 bool   ggml_backend_is_sycl(ggml_backend_t backend);
 int    ggml_backend_sycl_get_device(ggml_backend_t backend);
 int    get_main_device();
+static bool ggml_backend_buffer_is_sycl_split(ggml_backend_buffer_t buffer);
 void   print_ggml_tensor(const char*name, struct ggml_tensor *src);
 void   log_tensor_with_cnt(const char* name, struct ggml_tensor * src, int stop_cnt);
 
@@ -3847,21 +3898,27 @@ static void concat_f32(const float  *x,const float  *y, float *dst, const int ne
     }
 }
 
-static void upscale_f32(const float  *x, float *dst, const int ne00, const int nb02, const int scale_factor,
-                        const sycl::nd_item<3> &item_ct1) {
-    int ne0 = ne00 * scale_factor;
-    int nidx = item_ct1.get_local_id(2) +
-               item_ct1.get_group(2) * item_ct1.get_local_range(2);
-    if (nidx >= ne0) {
+static void upscale_f32(const float  *x, float *dst, const int nb00, const int nb01,
+                        const int nb02, const int nb03, const int ne10, const int ne11,
+                        const int ne12, const int ne13, const float sf0, const float sf1,
+                        const float sf2, const float sf3, const sycl::nd_item<1> &item_ct1) {
+    int index = item_ct1.get_local_id(0) +
+               item_ct1.get_group(0) * item_ct1.get_local_range(0);
+    if (index >= ne10 * ne11 * ne12 * ne13) {
         return;
     }
     // operation
-    int i00 = nidx / scale_factor;
-    int i01 = item_ct1.get_group(1) / scale_factor;
-    int offset_src = i00 + i01 * ne00 + item_ct1.get_group(0) * nb02;
-    int offset_dst = nidx + item_ct1.get_group(1) * ne0 +
-                     item_ct1.get_group(0) * ne0 * item_ct1.get_group_range(1);
-    dst[offset_dst] = x[offset_src];
+    int i10 = index % ne10;
+    int i11 = (index / ne10) % ne11;
+    int i12 = (index / (ne10 * ne11)) % ne12;
+    int i13 = (index / (ne10 * ne11 * ne12)) % ne13;
+
+    int i00 = i10 / sf0;
+    int i01 = i11 / sf1;
+    int i02 = i12 / sf2;
+    int i03 = i13 / sf3;
+
+    dst[index] = *(float *)((char *)x + i03 * nb03 + i02 * nb02 + i01 * nb01 + i00 * nb00);
 }
 
 static void pad_f32(const float  *x, float *dst, const int ne0, const int ne00, const int ne01, const int ne02,
@@ -4191,7 +4248,6 @@ static void dequantize_block_q2_K(const void * __restrict__ vx, dst_t * __restri
     const block_q2_K * x = (const block_q2_K *) vx;
 
     const int tid = item_ct1.get_local_id(2);
-#if QK_K == 256
     const int n   = tid/32;
     const int l   = tid - 32*n;
     const int is  = 8*n + l/16;
@@ -4205,18 +4261,6 @@ static void dequantize_block_q2_K(const void * __restrict__ vx, dst_t * __restri
     y[l+32] = dall * (x[i].scales[is+2] & 0xF) * ((q >> 2) & 3) - dmin * (x[i].scales[is+2] >> 4);
     y[l+64] = dall * (x[i].scales[is+4] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is+4] >> 4);
     y[l+96] = dall * (x[i].scales[is+6] & 0xF) * ((q >> 6) & 3) - dmin * (x[i].scales[is+6] >> 4);
-#else
-    const int is = tid/16;  // 0 or 1
-    const int il = tid%16;  // 0...15
-    const uint8_t q = x[i].qs[il] >> (2*is);
-    dst_t * y = yy + i*QK_K + 16*is + il;
-
-    float dall = x[i].dm[0];
-    float dmin = x[i].dm[1];
-    y[ 0] = dall * (x[i].scales[is+0] & 0xF) * ((q >> 0) & 3) - dmin * (x[i].scales[is+0] >> 4);
-    y[32] = dall * (x[i].scales[is+2] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is+2] >> 4);
-#endif
-
 }
 
 template<typename dst_t>
@@ -4226,7 +4270,6 @@ static void dequantize_block_q3_K(const void * __restrict__ vx, dst_t * __restri
     const int i = item_ct1.get_group(2);
     const block_q3_K * x = (const block_q3_K *) vx;
 
-#if QK_K == 256
     const int r = item_ct1.get_local_id(2) / 4;
     const int tid = r/2;
     const int is0 = r%2;
@@ -4250,31 +4293,8 @@ static void dequantize_block_q3_K(const void * __restrict__ vx, dst_t * __restri
     const uint8_t * hm = x[i].hmask;
 
     for (int l = l0; l < l0+4; ++l) y[l] = dl * ((int8_t)((q[l] >> shift) & 3) - ((hm[l] & m) ? 0 : 4));
-#else
-    const int tid = item_ct1.get_local_id(2);
-    const int is  = tid/16;  // 0 or 1
-    const int il  = tid%16;  // 0...15
-    const int im  = il/8;    // 0...1
-    const int in  = il%8;    // 0...7
-
-    dst_t * y = yy + i*QK_K + 16*is + il;
-
-    const uint8_t q = x[i].qs[il] >> (2*is);
-    const uint8_t h = x[i].hmask[in] >> (2*is + im);
-    const float   d = (float)x[i].d;
-
-    if (is == 0) {
-        y[ 0] = d * ((x[i].scales[0] & 0xF) - 8) * ((int8_t)((q >> 0) & 3) - ((h >> 0) & 1 ? 0 : 4));
-        y[32] = d * ((x[i].scales[1] & 0xF) - 8) * ((int8_t)((q >> 4) & 3) - ((h >> 4) & 1 ? 0 : 4));
-    } else {
-        y[ 0] = d * ((x[i].scales[0] >>  4) - 8) * ((int8_t)((q >> 0) & 3) - ((h >> 0) & 1 ? 0 : 4));
-        y[32] = d * ((x[i].scales[1] >>  4) - 8) * ((int8_t)((q >> 4) & 3) - ((h >> 4) & 1 ? 0 : 4));
-    }
-#endif
-
 }
 
-#if QK_K == 256
 static inline void get_scale_min_k4(int j, const uint8_t * q, uint8_t & d, uint8_t & m) {
     if (j < 4) {
         d = q[j] & 63; m = q[j + 4] & 63;
@@ -4283,7 +4303,6 @@ static inline void get_scale_min_k4(int j, const uint8_t * q, uint8_t & d, uint8
         m = (q[j+4] >>  4) | ((q[j-0] >> 6) << 4);
     }
 }
-#endif
 
 template<typename dst_t>
 static void dequantize_block_q4_K(const void * __restrict__ vx, dst_t * __restrict__ yy,
@@ -4292,7 +4311,6 @@ static void dequantize_block_q4_K(const void * __restrict__ vx, dst_t * __restri
 
     const int i = item_ct1.get_group(2);
 
-#if QK_K == 256
     // assume 32 threads
     const int tid = item_ct1.get_local_id(2);
     const int il  = tid/8;
@@ -4316,15 +4334,6 @@ static void dequantize_block_q4_K(const void * __restrict__ vx, dst_t * __restri
         y[l + 0] = d1 * (q[l] & 0xF) - m1;
         y[l +32] = d2 * (q[l] >>  4) - m2;
     }
-#else
-    const int tid = item_ct1.get_local_id(2);
-    const uint8_t * q = x[i].qs;
-    dst_t * y = yy + i*QK_K;
-    const float d = (float)x[i].dm[0];
-    const float m = (float)x[i].dm[1];
-    y[tid+ 0] = d * (x[i].scales[0] & 0xF) * (q[tid] & 0xF) - m * (x[i].scales[0] >> 4);
-    y[tid+32] = d * (x[i].scales[1] & 0xF) * (q[tid] >>  4) - m * (x[i].scales[1] >> 4);
-#endif
 }
 
 template<typename dst_t>
@@ -4334,7 +4343,6 @@ static void dequantize_block_q5_K(const void * __restrict__ vx, dst_t * __restri
 
     const int i = item_ct1.get_group(2);
 
-#if QK_K == 256
     // assume 64 threads - this is very slightly better than the one below
     const int tid = item_ct1.get_local_id(2);
     const int il  = tid/16;   // il is in 0...3
@@ -4361,18 +4369,6 @@ static void dequantize_block_q5_K(const void * __restrict__ vx, dst_t * __restri
     hm <<= 1;
     y[32] = d2 * ((ql[ 0] >>  4) + (qh[ 0] & hm ? 16 : 0)) - m2;
     y[33] = d2 * ((ql[ 1] >>  4) + (qh[ 1] & hm ? 16 : 0)) - m2;
-#else
-    const int tid = item_ct1.get_local_id(2);
-    const uint8_t q = x[i].qs[tid];
-    const int im = tid/8;  // 0...3
-    const int in = tid%8;  // 0...7
-    const int is = tid/16; // 0 or 1
-    const uint8_t h = x[i].qh[in] >> im;
-    const float d = x[i].d;
-    dst_t * y = yy + i*QK_K + tid;
-    y[ 0] = d * x[i].scales[is+0] * ((q & 0xF) - ((h >> 0) & 1 ? 0 : 16));
-    y[32] = d * x[i].scales[is+2] * ((q >>  4) - ((h >> 4) & 1 ? 0 : 16));
-#endif
 }
 
 template<typename dst_t>
@@ -4381,7 +4377,6 @@ static void dequantize_block_q6_K(const void * __restrict__ vx, dst_t * __restri
     const block_q6_K * x = (const block_q6_K *) vx;
 
     const int i = item_ct1.get_group(2);
-#if QK_K == 256
 
     // assume 64 threads - this is very slightly better than the one below
     const int tid = item_ct1.get_local_id(2);
@@ -4401,24 +4396,6 @@ static void dequantize_block_q6_K(const void * __restrict__ vx, dst_t * __restri
     y[32] = d * sc[2] * ((int8_t)((ql[32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32);
     y[64] = d * sc[4] * ((int8_t)((ql[ 0]  >> 4) | (((qh >> 4) & 3) << 4)) - 32);
     y[96] = d * sc[6] * ((int8_t)((ql[32]  >> 4) | (((qh >> 6) & 3) << 4)) - 32);
-#else
-
-    // assume 32 threads
-    const int tid = item_ct1.get_local_id(2);
-    const int ip  = tid/16;         // 0 or 1
-    const int il  = tid - 16*ip;    // 0...15
-
-    dst_t * y = yy + i*QK_K + 16*ip + il;
-
-    const float d = x[i].d;
-
-    const uint8_t   ql = x[i].ql[16*ip + il];
-    const uint8_t   qh = x[i].qh[il] >> (2*ip);
-    const int8_t  * sc = x[i].scales;
-
-    y[ 0] = d * sc[ip+0] * ((int8_t)((ql & 0xF) | (((qh >> 0) & 3) << 4)) - 32);
-    y[32] = d * sc[ip+2] * ((int8_t)((ql  >> 4) | (((qh >> 4) & 3) << 4)) - 32);
-#endif
 }
 
 template<typename dst_t>
@@ -4432,7 +4409,6 @@ static void dequantize_block_iq2_xxs(const void * __restrict__ vx, dst_t * __res
     const block_iq2_xxs * x = (const block_iq2_xxs  *) vx;
 
     const int tid = item_ct1.get_local_id(2);
-#if QK_K == 256
     const int il = tid/8; // 0...3
     const int ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -4443,10 +4419,6 @@ static void dequantize_block_iq2_xxs(const void * __restrict__ vx, dst_t * __res
     const float d = (float)x[i].d * (0.5f + (aux32 >> 28)) * 0.25f;
     const uint8_t signs = ksigns_iq2xs_ptr[(aux32 >> 7*il) & 127];
     for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs_ptr[j] ? -1.f : 1.f);
-#else
-    assert(false);
-#endif
-
 }
 
 template<typename dst_t>
@@ -4460,7 +4432,6 @@ static void dequantize_block_iq2_xs(const void * __restrict__ vx, dst_t * __rest
     const block_iq2_xs * x = (const block_iq2_xs *) vx;
 
     const int tid = item_ct1.get_local_id(2);
-#if QK_K == 256
     const int il = tid/8; // 0...3
     const int ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -4469,10 +4440,6 @@ static void dequantize_block_iq2_xs(const void * __restrict__ vx, dst_t * __rest
     const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f;
     const uint8_t signs = ksigns_iq2xs[q2[il] >> 9];
     for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
-#else
-    assert(false);
-#endif
-
 }
 
 template <typename dst_t>
@@ -4484,7 +4451,6 @@ dequantize_block_iq2_s(const void *__restrict__ vx, dst_t *__restrict__ yy,
     const block_iq2_s * x = (const block_iq2_s *) vx;
 
     const int tid = item_ct1.get_local_id(2);
-#if QK_K == 256
     const int il = tid/8; // 0...3
     const int ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -4492,13 +4458,9 @@ dequantize_block_iq2_s(const void *__restrict__ vx, dst_t *__restrict__ yy,
     const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f;
     const uint8_t signs = x[i].qs[QK_K/8+4*ib+il];
 #pragma unroll
-    for (int j = 0; j < 8; ++j)
+    for (int j = 0; j < 8; ++j) {
         y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
-#else
-    assert(false);
-
-#endif
-
+    }
 }
 
 template<typename dst_t>
@@ -4512,7 +4474,6 @@ static void dequantize_block_iq3_xxs(const void * __restrict__ vx, dst_t * __res
     const block_iq3_xxs * x = (const block_iq3_xxs  *) vx;
 
     const int tid = item_ct1.get_local_id(2);
-#if QK_K == 256
     const int il = tid/8; // 0...3
     const int ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -4527,10 +4488,6 @@ static void dequantize_block_iq3_xxs(const void * __restrict__ vx, dst_t * __res
         y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f);
         y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f);
     }
-#else
-    assert(false);
-#endif
-
 }
 
 template <typename dst_t>
@@ -4543,7 +4500,6 @@ dequantize_block_iq3_s(const void *__restrict__ vx, dst_t *__restrict__ yy,
     const block_iq3_s * x = (const block_iq3_s *) vx;
 
     const int tid = item_ct1.get_local_id(2);
-#if QK_K == 256
     const int il = tid/8; // 0...3
     const int ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -4557,10 +4513,6 @@ dequantize_block_iq3_s(const void *__restrict__ vx, dst_t *__restrict__ yy,
         y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f);
         y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f);
     }
-#else
-    assert(false);
-#endif
-
 }
 
 template <typename dst_t>
@@ -4573,7 +4525,6 @@ dequantize_block_iq1_s(const void *__restrict__ vx, dst_t *__restrict__ yy,
     const block_iq1_s * x = (const block_iq1_s  *) vx;
 
     const int tid = item_ct1.get_local_id(2);
-#if QK_K == 256
     const int il = tid/8; // 0...3
     const int ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -4587,10 +4538,6 @@ dequantize_block_iq1_s(const void *__restrict__ vx, dst_t *__restrict__ yy,
     for (int j = 0; j < 8; ++j) {
         y[j] = d * (q[j] + delta);
     }
-#else
-    assert(false);
-#endif
-
 }
 
 template <typename dst_t>
@@ -4603,7 +4550,6 @@ dequantize_block_iq1_m(const void *__restrict__ vx, dst_t *__restrict__ yy,
     const block_iq1_m * x = (const block_iq1_m  *) vx;
 
     const int tid = item_ct1.get_local_id(2);
-#if QK_K == 256
     const int il = tid/8; // 0...3
     const int ib = tid%8; // 0...7
     dst_t * y = yy + i*QK_K + 32*ib + 8*il;
@@ -4621,10 +4567,6 @@ dequantize_block_iq1_m(const void *__restrict__ vx, dst_t *__restrict__ yy,
     for (int j = 0; j < 8; ++j) {
         y[j] = d * (q[j] + delta);
     }
-#else
-    assert(false);
-#endif
-
 }
 
 template <typename dst_t>
@@ -4698,7 +4640,6 @@ static void dequantize_mul_mat_vec_q2_k(const void *__restrict__ vx,
 
     float tmp = 0; // partial sum for thread in warp
 
-#if QK_K == 256
     const int tid =
         item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...15
     const int ix =
@@ -4749,42 +4690,6 @@ static void dequantize_mul_mat_vec_q2_k(const void *__restrict__ vx,
         tmp += dall * sum1 - dmin * sum2;
 
     }
-#else
-    const int tid = item_ct1.get_local_id(2) /
-                    (2 * K_QUANTS_PER_ITERATION); // 0...15 or 0...7
-    const int ix = item_ct1.get_local_id(2) %
-                   (2 * K_QUANTS_PER_ITERATION); // 0....1 or 0...3
-    const int offset = tid * K_QUANTS_PER_ITERATION;
-
-    uint32_t uaux[2];
-    const uint8_t * d = (const uint8_t *)uaux;
-
-
-    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
-
-        const float   * y = yy + i * QK_K + offset;
-        const uint8_t * q = x[i].qs + offset;
-        const uint32_t * s = (const uint32_t *)x[i].scales;
-
-        uaux[0] = s[0] & 0x0f0f0f0f;
-        uaux[1] = (s[0] >> 4) & 0x0f0f0f0f;
-
-        const sycl::float2 dall =
-            x[i].dm.convert<float, sycl::rounding_mode::automatic>();
-
-        float sum1 = 0, sum2 = 0;
-        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
-            const uint8_t ql = q[l];
-            sum1 += y[l+ 0] * d[0] * ((ql >> 0) & 3)
-                  + y[l+16] * d[1] * ((ql >> 2) & 3)
-                  + y[l+32] * d[2] * ((ql >> 4) & 3)
-                  + y[l+48] * d[3] * ((ql >> 6) & 3);
-            sum2 += y[l+0] * d[4] + y[l+16] * d[5] + y[l+32] * d[6] + y[l+48] * d[7];
-        }
-        tmp += dall.x() * sum1 - dall.y() * sum2;
-    }
-
-#endif
 
     // sum up partial sums and write back result
 #pragma unroll
@@ -4822,8 +4727,6 @@ static void dequantize_mul_mat_vec_q3_k(const void *__restrict__ vx,
 
     float tmp = 0; // partial sum for thread in warp
 
-#if QK_K == 256
-
     const uint16_t kmask1 = 0x0303;
     const uint16_t kmask2 = 0x0f0f;
 
@@ -4876,34 +4779,6 @@ static void dequantize_mul_mat_vec_q3_k(const void *__restrict__ vx,
         tmp += d * sum;
 
     }
-#else
-
-    const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION);  // 0...15 or 0...7
-    const int ix  = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION);  // 0....1 or 0...3
-    const int offset = tid * K_QUANTS_PER_ITERATION;         // 0...15 or 0...14
-    const int in = offset/8;                                 // 0 or 1
-    const int im = offset%8;                                 // 0...7
-
-    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
-
-        const float   * y = yy + i * QK_K + offset;
-        const uint8_t * q = x[i].qs + offset;
-        const uint8_t * s = x[i].scales;
-
-        const float dall = (float)x[i].d;
-
-        float sum = 0;
-        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
-            const uint8_t hl = x[i].hmask[im+l] >> in;
-            const uint8_t ql = q[l];
-            sum += y[l+ 0] * dall * ((s[0] & 0xF) - 8) * ((int8_t)((ql >> 0) & 3) - ((hl >> 0) & 1 ? 0 : 4))
-                 + y[l+16] * dall * ((s[0] >>  4) - 8) * ((int8_t)((ql >> 2) & 3) - ((hl >> 2) & 1 ? 0 : 4))
-                 + y[l+32] * dall * ((s[1] & 0xF) - 8) * ((int8_t)((ql >> 4) & 3) - ((hl >> 4) & 1 ? 0 : 4))
-                 + y[l+48] * dall * ((s[1] >>  4) - 8) * ((int8_t)((ql >> 6) & 3) - ((hl >> 6) & 1 ? 0 : 4));
-        }
-        tmp += sum;
-    }
-#endif
 
     // sum up partial sums and write back result
 #pragma unroll
@@ -4938,7 +4813,6 @@ static void dequantize_mul_mat_vec_q4_k(const void *__restrict__ vx,
 
     const block_q4_K * x = (const block_q4_K *)vx + ib0;
 
-#if QK_K == 256
     const uint16_t kmask1 = 0x3f3f;
     const uint16_t kmask2 = 0x0f0f;
     const uint16_t kmask3 = 0xc0c0;
@@ -5027,36 +4901,6 @@ static void dequantize_mul_mat_vec_q4_k(const void *__restrict__ vx,
 #endif
 
     }
-#else
-    const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION);  // 0...15
-    const int ix  = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION);
-
-    const int step = tid * K_QUANTS_PER_ITERATION;
-
-    uint16_t aux16[2];
-    const uint8_t * s = (const uint8_t *)aux16;
-
-    float tmp = 0;
-
-    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
-        const uint8_t * q = x[i].qs + step;
-        const float   * y = yy + i*QK_K + step;
-        const uint16_t * a = (const uint16_t *)x[i].scales;
-        aux16[0] = a[0] & 0x0f0f;
-        aux16[1] = (a[0] >> 4) & 0x0f0f;
-        const float d = (float)x[i].dm[0];
-        const float m = (float)x[i].dm[1];
-        float sum = 0.f;
-        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
-            sum += y[j+ 0] * (d * s[0] * (q[j+ 0] & 0xF) - m * s[2])
-                 + y[j+16] * (d * s[0] * (q[j+16] & 0xF) - m * s[2])
-                 + y[j+32] * (d * s[1] * (q[j+ 0] >>  4) - m * s[3])
-                 + y[j+48] * (d * s[1] * (q[j+16] >>  4) - m * s[3]);
-        }
-        tmp += sum;
-    }
-
-#endif
 
     // sum up partial sums and write back result
 #pragma unroll
@@ -5091,7 +4935,6 @@ static void dequantize_mul_mat_vec_q5_k(const void *__restrict__ vx,
 
     float tmp = 0; // partial sum for thread in warp
 
-#if QK_K == 256
     const uint16_t kmask1 = 0x3f3f;
     const uint16_t kmask2 = 0x0f0f;
     const uint16_t kmask3 = 0xc0c0;
@@ -5168,30 +5011,6 @@ static void dequantize_mul_mat_vec_q5_k(const void *__restrict__ vx,
                dmin * smin;
     }
 
-#else
-    const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION);  // 0...15
-    const int ix  = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION);
-    const int step = tid * K_QUANTS_PER_ITERATION;
-    const int im = step/8;
-    const int in = step%8;
-
-    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
-        const uint8_t * q = x[i].qs + step;
-        const int8_t  * s = x[i].scales;
-        const float   * y = yy + i*QK_K + step;
-        const float     d = x[i].d;
-        float sum = 0.f;
-        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
-            const uint8_t h = x[i].qh[in+j] >> im;
-            sum += y[j+ 0] * d * s[0] * ((q[j+ 0] & 0xF) - ((h >> 0) & 1 ? 0 : 16))
-                 + y[j+16] * d * s[1] * ((q[j+16] & 0xF) - ((h >> 2) & 1 ? 0 : 16))
-                 + y[j+32] * d * s[2] * ((q[j+ 0] >>  4) - ((h >> 4) & 1 ? 0 : 16))
-                 + y[j+48] * d * s[3] * ((q[j+16] >>  4) - ((h >> 6) & 1 ? 0 : 16));
-        }
-        tmp += sum;
-    }
-#endif
-
     // sum up partial sums and write back result
 #pragma unroll
     for (int mask = 16; mask > 0; mask >>= 1) {
@@ -5218,8 +5037,6 @@ static void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx, const floa
 
     const block_q6_K * x = (const block_q6_K *)vx + ib0;
 
-#if QK_K == 256
-
     const int tid =
         item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16
     const int ix =
@@ -5276,37 +5093,6 @@ static void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx, const floa
 
     }
 
-#else
-
-    const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION);  // 0...7
-    const int ix  = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION);  // 0...3
-
-    const int step = tid * K_QUANTS_PER_ITERATION;
-
-    float tmp = 0; // partial sum for thread in warp
-
-    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
-
-        const float   * y  = yy + i * QK_K + step;
-        const uint8_t * ql = x[i].ql + step;
-        const uint8_t * qh = x[i].qh + step;
-        const int8_t  * s  = x[i].scales;
-
-        const float d = x[i+0].d;
-
-        float sum = 0;
-        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
-            sum += y[j+ 0] * s[0] * d * ((int8_t)((ql[j+ 0] & 0xF) | ((qh[j] & 0x03) << 4)) - 32)
-                 + y[j+16] * s[1] * d * ((int8_t)((ql[j+16] & 0xF) | ((qh[j] & 0x0c) << 2)) - 32)
-                 + y[j+32] * s[2] * d * ((int8_t)((ql[j+ 0] >>  4) | ((qh[j] & 0x30) >> 0)) - 32)
-                 + y[j+48] * s[3] * d * ((int8_t)((ql[j+16] >>  4) | ((qh[j] & 0xc0) >> 2)) - 32);
-        }
-        tmp += sum;
-
-    }
-
-#endif
-
     // sum up partial sums and write back result
 #pragma unroll
     for (int mask = 16; mask > 0; mask >>= 1) {
@@ -6851,7 +6637,6 @@ static __dpct_inline__ float
 vec_dot_q4_K_q8_1(const void *__restrict__ vbq,
                   const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
 
-#ifndef GGML_QKK_64
     const block_q4_K * bq4_K = (const block_q4_K *) vbq;
 
     int    v[2];
@@ -6893,52 +6678,6 @@ vec_dot_q4_K_q8_1(const void *__restrict__ vbq,
     }
 
     return vec_dot_q4_K_q8_1_impl_vmmq(v, u, sc, m, bq4_K->dm, d8);
-
-#else
-
-#if __SYCL_ARCH__ >= VER_4VEC // lowest compute capability for integer intrinsics
-    const block_q4_K * bq4_K = (const block_q4_K *) vbq;
-
-    float sumf_d = 0.0f;
-    float sumf_m = 0.0f;
-
-    uint16_t aux16[2];
-    const uint8_t * s = (const uint8_t *)aux16;
-
-    const uint16_t * a = (const uint16_t *)bq4_K->scales;
-    aux16[0] = a[0] & 0x0f0f;
-    aux16[1] = (a[0] >> 4) & 0x0f0f;
-
-    const float dall = bq4_K->dm[0];
-    const float dmin = bq4_K->dm[1];
-
-    const float d8_1 = bq8_1[0].ds[0];
-    const float d8_2 = bq8_1[1].ds[1];
-
-    const int ui1 = *((const int *)bq8_1[0].qs + (iqs/2));
-    const int ui2 = *((const int *)bq8_1[0].qs + (iqs/2) + 4);
-    const int ui3 = *((const int *)bq8_1[1].qs + (iqs/2));
-    const int ui4 = *((const int *)bq8_1[1].qs + (iqs/2) + 4);
-
-    const int * q4 = (const int *)bq4_K->qs + (iqs/2);
-    const int v1 = q4[0];
-    const int v2 = q4[4];
-
-    const int dot1 = dpct::dp4a(ui2, v2 & 0x0f0f0f0f, dpct::dp4a(ui1, v1 & 0x0f0f0f0f, 0));
-    const int dot2 = dpct::dp4a(ui4, (v2 >> 4) & 0x0f0f0f0f, dpct::dp4a(ui3, (v1 >> 4) & 0x0f0f0f0f, 0));
-    const int dot3 = dpct::dp4a(0x01010101, ui2, dpct::dp4a(0x01010101, ui1, 0));
-    const int dot4 = dpct::dp4a(0x01010101, ui4, dpct::dp4a(0x01010101, ui3, 0));
-
-    sumf_d += d8_1 * (dot1 * s[0]) + d8_2 * (dot2 * s[1]);
-    sumf_m += d8_1 * (dot3 * s[2]) + d8_2 * (dot4 * s[3]);
-
-    return dall * sumf_d - dmin * sumf_m;
-
-#else
-    bad_arch();
-#endif // __SYCL_ARCH__ >= VER_4VEC
-
-#endif
 }
 
 template <int mmq_y>
@@ -6997,11 +6736,7 @@ load_tiles_q4_K(const void *__restrict__ vx, int *__restrict__ x_ql,
 
         const block_q4_K * bxi = bx0 + i*blocks_per_row + kbxd;
 
-#if QK_K == 256
         x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = bxi->dm;
-#else
-        x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = {bxi->dm[0], bxi->dm[1]};
-#endif
     }
 
 #pragma unroll
@@ -7044,7 +6779,6 @@ static __dpct_inline__ float
 vec_dot_q5_K_q8_1(const void *__restrict__ vbq,
                   const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
 
-#ifndef GGML_QKK_64
     const block_q5_K * bq5_K = (const block_q5_K *) vbq;
 
     int   vl[2];
@@ -7086,48 +6820,6 @@ vec_dot_q5_K_q8_1(const void *__restrict__ vbq,
     }
 
     return vec_dot_q5_K_q8_1_impl_vmmq(vl, vh, u, sc, m, bq5_K->dm, d8);
-
-#else
-
-#if __SYCL_ARCH__ >= VER_4VEC // lowest compute capability for integer intrinsics
-    const block_q5_K * bq5_K = (const block_q5_K *) vbq;
-
-    const int8_t * s = bq5_K->scales;
-
-    const float d = bq5_K->d;
-
-    const float d8_1 = bq8_1[0].ds[0];
-    const float d8_2 = bq8_1[1].ds[1];
-
-    const int ui1 = *((const int *)bq8_1[0].qs + (iqs/2));
-    const int ui2 = *((const int *)bq8_1[0].qs + (iqs/2) + 4);
-    const int ui3 = *((const int *)bq8_1[1].qs + (iqs/2));
-    const int ui4 = *((const int *)bq8_1[1].qs + (iqs/2) + 4);
-
-    const int * ql = (const int *)bq5_K->qs + (iqs/2);
-    const int vl1 = ql[0];
-    const int vl2 = ql[4];
-
-    const int step = 4 * (iqs/2); // 0, 4, 8, 12
-    const int im = step/8; // = 0 for iqs = 0, 2, = 1 for iqs = 4, 6
-    const int in = step%8; // 0, 4, 0, 4
-    const int vh = (*((const int *)(bq5_K->qh + in))) >> im;
-
-    const int v1 = (((vh << 4) & 0x10101010) ^ 0x10101010) | ((vl1 >> 0) & 0x0f0f0f0f);
-    const int v2 = (((vh << 2) & 0x10101010) ^ 0x10101010) | ((vl2 >> 0) & 0x0f0f0f0f);
-    const int v3 = (((vh >> 0) & 0x10101010) ^ 0x10101010) | ((vl1 >> 4) & 0x0f0f0f0f);
-    const int v4 = (((vh >> 2) & 0x10101010) ^ 0x10101010) | ((vl2 >> 4) & 0x0f0f0f0f);
-
-    const float sumf_d = d8_1 * (dpct::dp4a(ui1, v1, 0) * s[0] + dpct::dp4a(ui2, v2, 0) * s[1])
-                       + d8_2 * (dpct::dp4a(ui3, v3, 0) * s[2] + dpct::dp4a(ui4, v4, 0) * s[3]);
-
-    return d * sumf_d;
-
-#else
-    bad_arch();
-#endif // __SYCL_ARCH__ >= VER_4VEC
-
-#endif
 }
 
 template <int mmq_y>
@@ -7199,9 +6891,7 @@ load_tiles_q5_K(const void *__restrict__ vx, int *__restrict__ x_ql,
 
         const block_q5_K * bxi = bx0 + i*blocks_per_row + kbxd;
 
-#if QK_K == 256
         x_dm[i * (WARP_SIZE/QI5_K) + i / QI5_K + kbxd] = bxi->dm;
-#endif
     }
 
 #pragma unroll
@@ -7381,7 +7071,6 @@ vec_dot_iq2_xxs_q8_1(const void *__restrict__ vbq,
                      const block_q8_1 *__restrict__ bq8_1, const int &iqs,
                      const uint64_t *iq2xxs_grid, const uint8_t *ksigns_iq2xs,
                      const uint8_t *kmask_iq2xs) {
-#if QK_K == 256
     const block_iq2_xxs * bq2 = (const block_iq2_xxs *) vbq;
 
 #if QR2_XXS == 8
@@ -7422,10 +7111,6 @@ vec_dot_iq2_xxs_q8_1(const void *__restrict__ vbq,
     }
     return d * (sumi1 + sumi2);
 #endif
-#else
-    assert(false);
-    return 0.f;
-#endif
 }
 
 static __dpct_inline__ float
@@ -7434,7 +7119,6 @@ vec_dot_iq2_xs_q8_1(const void *__restrict__ vbq,
                     const uint64_t *iq2xs_grid, const uint64_t *ksigns64) {
 #if DPCT_COMPATIBILITY_TEMP >=                                                 \
     MIN_CC_DP4A // lowest compute capability for integer intrinsics
-#if QK_K == 256
     const block_iq2_xs * bq2 = (const block_iq2_xs *) vbq;
 
     const int ib32 = iqs;
@@ -7472,16 +7156,11 @@ vec_dot_iq2_xs_q8_1(const void *__restrict__ vbq,
     assert(false);
     return 0.f;
 #endif
-#else
-    assert(false);
-    return 0.f;
-#endif
 }
 
 static __dpct_inline__ float
 vec_dot_iq2_s_q8_1(const void *__restrict__ vbq,
                    const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-#if QK_K == 256
     const block_iq2_s * bq2 = (const block_iq2_s *) vbq;
 
     const int ib32 = iqs;
@@ -7525,9 +7204,6 @@ vec_dot_iq2_s_q8_1(const void *__restrict__ vbq,
     }
     const float d = (float)bq2->d * bq8_1[ib32].ds[0] * 0.25f;
     return d * ((0.5f + ls1) * sumi1 + (0.5f + ls2) * sumi2);
-#else
-    assert(false);
-#endif
 }
 
 static __dpct_inline__ float
@@ -7536,7 +7212,6 @@ vec_dot_iq3_xxs_q8_1(const void *__restrict__ vbq,
                      const uint32_t *iq3xxs_grid, const uint64_t *ksigns64) {
 #if DPCT_COMPATIBILITY_TEMP >=                                                 \
     MIN_CC_DP4A // lowest compute capability for integer intrinsics
-#if QK_K == 256
     const block_iq3_xxs * bq2 = (const block_iq3_xxs *) vbq;
 
     const int ib32 = iqs;
@@ -7564,17 +7239,12 @@ vec_dot_iq3_xxs_q8_1(const void *__restrict__ vbq,
     assert(false);
     return 0.f;
 #endif
-#else
-    assert(false);
-    return 0.f;
-#endif
 }
 
 static __dpct_inline__ float
 vec_dot_iq3_s_q8_1(const void *__restrict__ vbq,
                    const block_q8_1 *__restrict__ bq8_1, const int &iqs,
                    const uint32_t *iq3s_grid) {
-#if QK_K == 256
     const block_iq3_s * bq2 = (const block_iq3_s *) vbq;
 
     const int ib32 = iqs;
@@ -7603,16 +7273,12 @@ vec_dot_iq3_s_q8_1(const void *__restrict__ vbq,
         (1 + 2 * ((bq2->scales[ib32 / 2] >> 4 * (ib32 % 2)) & 0xf)) *
         bq8_1[ib32].ds[0];
     return d * sumi;
-#else
-    assert(false);
-#endif
 }
 
 static __dpct_inline__ float
 vec_dot_iq1_s_q8_1(const void *__restrict__ vbq,
                    const block_q8_1 *__restrict__ bq8_1, const int &iqs,
                    const uint32_t *iq1s_grid_gpu) {
-#if QK_K == 256
     const block_iq1_s * bq1 = (const block_iq1_s *) vbq;
 
     const int ib32 = iqs;
@@ -7631,15 +7297,11 @@ vec_dot_iq1_s_q8_1(const void *__restrict__ vbq,
     const float d = d1q * bq8_1[ib32].ds[0];
     const float m = d1q * bq8_1[ib32].ds[1];
     return d * sumi + m * delta;
-#else
-    assert(false);
-#endif
 }
 
 static __dpct_inline__ float
 vec_dot_iq1_m_q8_1(const void *__restrict__ vbq,
                    const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-#if QK_K == 256
     const block_iq1_m * bq1 = (const block_iq1_m *) vbq;
 
     const int ib32 = iqs;
@@ -7664,9 +7326,6 @@ vec_dot_iq1_m_q8_1(const void *__restrict__ vbq,
     scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
     const float d = (float)scale.f16 * bq8_1[ib32].ds[0];
     return d * ((sumi[0] + sumf[0]) * (2*((sc[ib32/2] >> 6*(ib32%2)) & 0x7) + 1) + (sumi[1] + sumf[1]) * (2*((sc[ib32/2] >> (6*(ib32%2)+3)) & 0x7) + 1));
-#else
-    assert(false);
-#endif
 }
 
 static __dpct_inline__ void get_int_from_table_16(const uint32_t &q4,
@@ -7714,7 +7373,6 @@ static __dpct_inline__ float
 vec_dot_iq4_xs_q8_1(const void *__restrict__ vbq,
                     const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
 
-#if QK_K == 256
     const block_iq4_xs * bq4 = (const block_iq4_xs *) vbq;
     const uint8_t * values = (const uint8_t *)kvalues_iq4nl;
 
@@ -7732,9 +7390,6 @@ vec_dot_iq4_xs_q8_1(const void *__restrict__ vbq,
         sumi2 = dpct::dp4a(v2, q8[j + 4], sumi2);
     }
     return d * (sumi1 + sumi2);
-#else
-    assert(false);
-#endif
 }
 
 template <int qk, int qr, int qi, bool need_sum, typename block_q_t, int mmq_x,
@@ -9226,12 +8881,11 @@ static void rope(
     dst[i + 1] = x0*sin_theta + x1*cos_theta;
 }
 
-template<typename T, bool has_pos>
+template<typename T, bool has_pos, bool has_freq_facs>
 static void rope_neox(
     const T * x, T * dst, int ncols, int n_dims, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, float inv_ndims
-,
-    const sycl::nd_item<3> &item_ct1) {
+    float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, float inv_ndims,
+    const float * freq_factors, const sycl::nd_item<3> &item_ct1) {
     const int col = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
                          item_ct1.get_local_id(1));
 
@@ -9259,8 +8913,10 @@ static void rope_neox(
     float cur_rot = inv_ndims * ic - ib;
 
     const int p = has_pos ? pos[i2] : 0;
+    const float freq_factor = has_freq_facs ? freq_factors[ic/2] : 1.0f;
+
     const float theta_base =
-        p * freq_scale * dpct::pow(theta_scale, col / 2.0f);
+        p * freq_scale * dpct::pow(theta_scale, col / 2.0f)/freq_factor;
 
     float cos_theta, sin_theta;
     rope_yarn(theta_base, freq_scale, corr_dims, cur_rot, ext_factor, attn_factor, &cos_theta, &sin_theta);
@@ -9272,49 +8928,6 @@ static void rope_neox(
     dst[i + n_dims/2] = x0*sin_theta + x1*cos_theta;
 }
 
-static void rope_glm_f32(
-    const float * x, float * dst, int ncols, const int32_t * pos, float freq_scale, int p_delta_rows, float freq_base,
-    int n_ctx
-, const sycl::nd_item<3> &item_ct1) {
-    const int col = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
-                    item_ct1.get_local_id(2);
-    const int half_n_dims = ncols/4;
-
-    if (col >= half_n_dims) {
-        return;
-    }
-
-    const int row = item_ct1.get_local_range(1) * item_ct1.get_group(1) +
-                    item_ct1.get_local_id(1);
-    const int i = row*ncols + col;
-    const int i2 = row/p_delta_rows;
-
-    const float col_theta_scale = dpct::pow(freq_base, -2.0f * col / ncols);
-     // FIXME: this is likely wrong
-    const int p = pos != nullptr ? pos[i2] : 0;
-
-    const float theta = sycl::min(p, n_ctx - 2) * freq_scale * col_theta_scale;
-    const float sin_theta = sycl::sin((float)theta);
-    const float cos_theta = sycl::cos((float)theta);
-
-    const float x0 = x[i + 0];
-    const float x1 = x[i + half_n_dims];
-
-    dst[i + 0]           = x0*cos_theta - x1*sin_theta;
-    dst[i + half_n_dims] = x0*sin_theta + x1*cos_theta;
-
-    const float block_theta =
-        ((float)sycl::max(p - n_ctx - 2, 0)) * col_theta_scale;
-    const float sin_block_theta = sycl::sin((float)block_theta);
-    const float cos_block_theta = sycl::cos((float)block_theta);
-
-    const float x2 = x[i + half_n_dims * 2];
-    const float x3 = x[i + half_n_dims * 3];
-
-    dst[i + half_n_dims * 2] = x2*cos_block_theta - x3*sin_block_theta;
-    dst[i + half_n_dims * 3] = x2*sin_block_theta + x3*cos_block_theta;
-}
-
 static void k_sum_rows_f32(const float * x, float * dst, const int ncols,
                            const sycl::nd_item<3> &item_ct1) {
     const int row = item_ct1.get_group(1);
@@ -10085,18 +9698,17 @@ static void concat_f32_sycl(const float *x, const float *y, float *dst,
         });
 }
 
-static void upscale_f32_sycl(const float *x, float *dst, const int ne00,
-                             const int ne01, const int ne02,
-                             const int scale_factor, dpct::queue_ptr stream) {
-    int ne0 = (ne00 * scale_factor);
-    int num_blocks = (ne0 + SYCL_UPSCALE_BLOCK_SIZE - 1) / SYCL_UPSCALE_BLOCK_SIZE;
-    sycl::range<3> gridDim(ne02, (ne01 * scale_factor), num_blocks);
+static void upscale_f32_sycl(const float *x, float *dst, const int nb00, const int nb01,
+                             const int nb02, const int nb03, const int ne10, const int ne11,
+                             const int ne12, const int ne13, const float sf0, const float sf1,
+                             const float sf2, const float sf3, dpct::queue_ptr stream) {
+    int dst_size = ne10 * ne11 * ne12 * ne13;
+    int num_blocks = (dst_size + SYCL_UPSCALE_BLOCK_SIZE - 1) / SYCL_UPSCALE_BLOCK_SIZE;
+    sycl::range<1> gridDim(num_blocks * SYCL_UPSCALE_BLOCK_SIZE);
     stream->parallel_for(
-        sycl::nd_range<3>(gridDim *
-                              sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
-                          sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
-        [=](sycl::nd_item<3> item_ct1) {
-            upscale_f32(x, dst, ne00, ne00 * ne01, scale_factor, item_ct1);
+        sycl::nd_range<1>(gridDim, sycl::range<1>(SYCL_UPSCALE_BLOCK_SIZE)),
+        [=](sycl::nd_item<1> item_ct1) {
+            upscale_f32(x, dst, nb00, nb01, nb02, nb03, ne10, ne11, ne12, ne13, sf0, sf1, sf2, sf3, item_ct1);
         });
 }
 
@@ -10198,7 +9810,6 @@ template <typename dst_t>
 static void dequantize_row_q2_K_sycl(const void *vx, dst_t *y, const int k,
                                      dpct::queue_ptr stream) {
     const int nb = k / QK_K;
-#if QK_K == 256
     {
         dpct::has_capability_or_fail(stream->get_device(),
                                      {sycl::aspect::fp16});
@@ -10210,27 +9821,12 @@ static void dequantize_row_q2_K_sycl(const void *vx, dst_t *y, const int k,
                                  dequantize_block_q2_K(vx, y, item_ct1);
                              });
     }
-#else
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_q2_K(vx, y, item_ct1);
-                             });
-    }
-
-#endif
 }
 
 template <typename dst_t>
 static void dequantize_row_q3_K_sycl(const void *vx, dst_t *y, const int k,
                                      dpct::queue_ptr stream) {
     const int nb = k / QK_K;
-#if QK_K == 256
     {
         dpct::has_capability_or_fail(stream->get_device(),
                                      {sycl::aspect::fp16});
@@ -10242,19 +9838,6 @@ static void dequantize_row_q3_K_sycl(const void *vx, dst_t *y, const int k,
                                  dequantize_block_q3_K(vx, y, item_ct1);
                              });
     }
-#else
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_q3_K(vx, y, item_ct1);
-                             });
-    }
-#endif
 }
 
 template <typename dst_t>
@@ -10315,7 +9898,6 @@ template <typename dst_t>
 static void dequantize_row_q5_K_sycl(const void *vx, dst_t *y, const int k,
                                      dpct::queue_ptr stream) {
     const int nb = k / QK_K;
-#if QK_K == 256
     {
         dpct::has_capability_or_fail(stream->get_device(),
                                      {sycl::aspect::fp16});
@@ -10327,27 +9909,12 @@ static void dequantize_row_q5_K_sycl(const void *vx, dst_t *y, const int k,
                                  dequantize_block_q5_K(vx, y, item_ct1);
                              });
     }
-#else
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_q5_K(vx, y, item_ct1);
-                             });
-    }
-
-#endif
 }
 
 template <typename dst_t>
 static void dequantize_row_q6_K_sycl(const void *vx, dst_t *y, const int k,
                                      dpct::queue_ptr stream) {
     const int nb = k / QK_K;
-#if QK_K == 256
     {
         dpct::has_capability_or_fail(stream->get_device(),
                                      {sycl::aspect::fp16});
@@ -10359,20 +9926,6 @@ static void dequantize_row_q6_K_sycl(const void *vx, dst_t *y, const int k,
                                  dequantize_block_q6_K(vx, y, item_ct1);
                              });
     }
-#else
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_q6_K(vx, y, item_ct1);
-                             });
-    }
-
-#endif
 }
 
 template <typename dst_t>
@@ -10524,9 +10077,6 @@ template <typename dst_t>
 static void dequantize_row_iq4_xs_sycl(const void *vx, dst_t *y, const int k,
                                        dpct::queue_ptr stream) {
     const int nb = (k + QK_K - 1) / QK_K;
-#if QK_K == 64
-    dequantize_row_iq4_nl_sycl(vx, y, k, stream);
-#else
       {
             dpct::has_capability_or_fail(stream->get_device(),
                                          {sycl::aspect::fp16});
@@ -10541,7 +10091,6 @@ static void dequantize_row_iq4_xs_sycl(const void *vx, dst_t *y, const int k,
                       });
             });
       }
-#endif
 }
 
 
@@ -12046,8 +11595,6 @@ static void ggml_mul_mat_q3_K_q8_1_sycl(const void *vx, const void *vy,
                                         const int nrows_y, const int nrows_dst,
                                         dpct::queue_ptr stream) try {
 
-#if QK_K == 256
-
     int id;
     SYCL_CHECK(
         CHECK_TRY_ERROR(id = get_current_device_id()));
@@ -12162,7 +11709,6 @@ static void ggml_mul_mat_q3_K_q8_1_sycl(const void *vx, const void *vy,
             });
         }
     }
-#endif
 }
 catch (sycl::exception const &exc) {
   std::cerr << exc.what() << "Exception caught at file:" << __FILE__
@@ -12876,7 +12422,7 @@ static void rope_neox_sycl(const T *x, T *dst, int ncols, int n_dims, int nrows,
                            const int32_t *pos, float freq_scale,
                            int p_delta_rows, float freq_base, float ext_factor,
                            float attn_factor, rope_corr_dims corr_dims,
-                           dpct::queue_ptr stream) {
+                           const float * freq_factors, dpct::queue_ptr stream) {
     GGML_ASSERT(ncols % 2 == 0);
     const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
     const int num_blocks_x = (ncols + 2*SYCL_ROPE_BLOCK_SIZE - 1) / (2*SYCL_ROPE_BLOCK_SIZE);
@@ -12886,57 +12432,51 @@ static void rope_neox_sycl(const T *x, T *dst, int ncols, int n_dims, int nrows,
     const float inv_ndims = -1.0f / n_dims;
 
     if (pos == nullptr) {
-        /*
-        DPCT1049:42: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
         dpct::has_capability_or_fail(stream->get_device(),
                                      {sycl::aspect::fp16});
-
-        stream->parallel_for(
-            sycl::nd_range<3>(block_nums * block_dims, block_dims),
-            [=](sycl::nd_item<3> item_ct1) {
-                rope_neox<T, false>(x, dst, ncols, n_dims, pos, freq_scale,
-                                    p_delta_rows, ext_factor, attn_factor,
-                                    corr_dims, theta_scale, inv_ndims,
-                                    item_ct1);
-            });
+        if (freq_factors == nullptr) {
+            stream->parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1) {
+                    rope_neox<T, false, false>(x, dst, ncols, n_dims, pos, freq_scale,
+                                        p_delta_rows, ext_factor, attn_factor,
+                                        corr_dims, theta_scale, inv_ndims, freq_factors,
+                                        item_ct1);
+                });
+        } else {
+            stream->parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1) {
+                    rope_neox<T, false, true>(x, dst, ncols, n_dims, pos, freq_scale,
+                                        p_delta_rows, ext_factor, attn_factor,
+                                        corr_dims, theta_scale, inv_ndims, freq_factors,
+                                        item_ct1);
+                });
+        }
     } else {
-        /*
-        DPCT1049:43: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
         dpct::has_capability_or_fail(stream->get_device(),
                                      {sycl::aspect::fp16});
 
-        stream->parallel_for(
-            sycl::nd_range<3>(block_nums * block_dims, block_dims),
-            [=](sycl::nd_item<3> item_ct1) {
-                rope_neox<T, true>(x, dst, ncols, n_dims, pos, freq_scale,
-                                   p_delta_rows, ext_factor, attn_factor,
-                                   corr_dims, theta_scale, inv_ndims, item_ct1);
-            });
+        if (freq_factors == nullptr) {
+            stream->parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1) {
+                    rope_neox<T, true, false>(x, dst, ncols, n_dims, pos, freq_scale,
+                                       p_delta_rows, ext_factor, attn_factor,
+                                       corr_dims, theta_scale, inv_ndims, freq_factors, item_ct1);
+                });
+        } else {
+            stream->parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1) {
+                    rope_neox<T, true, true>(x, dst, ncols, n_dims, pos, freq_scale,
+                                       p_delta_rows, ext_factor, attn_factor,
+                                       corr_dims, theta_scale, inv_ndims, freq_factors, item_ct1);
+                });
+        }
     }
 }
 
-static void rope_glm_f32_sycl(const float *x, float *dst, int ncols, int nrows,
-                              const int32_t *pos, float freq_scale,
-                              int p_delta_rows, float freq_base, int n_ctx,
-                              dpct::queue_ptr stream) {
-    GGML_ASSERT(ncols % 4 == 0);
-    const sycl::range<3> block_dims(1, 1, SYCL_ROPE_BLOCK_SIZE / 4);
-    const int num_blocks_x = (ncols + SYCL_ROPE_BLOCK_SIZE - 1) / SYCL_ROPE_BLOCK_SIZE;
-    const sycl::range<3> block_nums(1, nrows, num_blocks_x);
-    stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                         [=](sycl::nd_item<3> item_ct1) {
-                             rope_glm_f32(x, dst, ncols, pos, freq_scale,
-                                          p_delta_rows, freq_base, n_ctx,
-                                          item_ct1);
-                         });
-}
-
 static void sum_rows_f32_sycl(const float *x, float *dst, const int ncols,
                               const int nrows, dpct::queue_ptr stream) {
     const sycl::range<3> block_dims(1, 1, WARP_SIZE);
@@ -13964,6 +13504,10 @@ inline void ggml_sycl_op_concat(const ggml_tensor *src0,
                                 const float *src0_dd, const float *src1_dd,
                                 float *dst_dd,
                                 const dpct::queue_ptr &main_stream) {
+#pragma message("TODO: generalize concat kernel for dim != 2")
+#pragma message("      https://github.com/ggerganov/llama.cpp/pull/7563")
+    int dim = dst->op_params[0];
+    GGML_ASSERT(dim == 2);
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT(src1->type == GGML_TYPE_F32);
@@ -13985,11 +13529,15 @@ inline void ggml_sycl_op_upscale(const ggml_tensor *src0,
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT(dst->type == GGML_TYPE_F32);
-    GGML_ASSERT(src0->ne[3] == 1 && dst->ne[3] == 1); // just 3D tensors
 
-    const int scale_factor = dst->op_params[0];
+    const float sf0 = (float)dst->ne[0]/src0->ne[0];
+    const float sf1 = (float)dst->ne[1]/src0->ne[1];
+    const float sf2 = (float)dst->ne[2]/src0->ne[2];
+    const float sf3 = (float)dst->ne[3]/src0->ne[3];
 
-    upscale_f32_sycl(src0_dd, dst_dd, src0->ne[0], src0->ne[1], src0->ne[2], scale_factor, main_stream);
+    upscale_f32_sycl(src0_dd, dst_dd, src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3],
+                     dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], sf0, sf1, sf2, sf3,
+                     main_stream);
 
     (void) src1;
     (void) dst;
@@ -14445,6 +13993,7 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
                               ggml_tensor *dst, const float *src0_dd,
                               const float *src1_dd, float *dst_dd,
                               const dpct::queue_ptr &main_stream) {
+    const ggml_tensor * src2 = dst->src[2];
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);
     GGML_ASSERT( dst->type == GGML_TYPE_F32 ||  dst->type == GGML_TYPE_F16);
@@ -14458,8 +14007,8 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
     //const int n_past      = ((int32_t *) dst->op_params)[0];
     const int n_dims      = ((int32_t *) dst->op_params)[1];
     const int mode        = ((int32_t *) dst->op_params)[2];
-    const int n_ctx       = ((int32_t *) dst->op_params)[3];
-    const int n_orig_ctx  = ((int32_t *) dst->op_params)[4];
+    //const int n_ctx       = ((int32_t *) dst->op_params)[3];
+    const int n_ctx_orig  = ((int32_t *) dst->op_params)[4];
 
     // RoPE alteration for extended context
     float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
@@ -14470,6 +14019,7 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
     memcpy(&beta_fast,   (int32_t *) dst->op_params +  9, sizeof(float));
     memcpy(&beta_slow,   (int32_t *) dst->op_params + 10, sizeof(float));
 
+    const float * freq_factors = nullptr;
     const int32_t * pos = nullptr;
     if ((mode & 1) == 0) {
         GGML_ASSERT(src1->type == GGML_TYPE_I32);
@@ -14478,26 +14028,35 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
     }
 
     const bool is_neox = mode & 2;
-    const bool is_glm  = mode & 4;
+
+#pragma message("TODO: update rope NORM mode to match NEOX mode")
+#pragma message("      https://github.com/ggerganov/llama.cpp/pull/7634")
+
+    if (is_neox) {
+        pos = (const int32_t *) src1_dd;
+
+        if (src2 != nullptr) {
+            freq_factors = (const float *) src2->data;
+        }
+    } else {
+        GGML_ASSERT(src2 == nullptr && "TODO: freq_factors not implemented for !is_neox");
+    }
 
     rope_corr_dims corr_dims;
-    ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims.v);
+    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims.v);
 
     // compute
-    if (is_glm) {
-        GGML_ASSERT(false);
-        rope_glm_f32_sycl(src0_dd, dst_dd, ne00, nrows, pos, freq_scale, ne01, freq_base, n_ctx, main_stream);
-    } else if (is_neox) {
+    if (is_neox) {
         if (src0->type == GGML_TYPE_F32) {
             rope_neox_sycl(
                 (const float *)src0_dd, (float *)dst_dd, ne00, n_dims, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
-                attn_factor, corr_dims, main_stream
+                attn_factor, corr_dims, freq_factors, main_stream
             );
         } else if (src0->type == GGML_TYPE_F16) {
             rope_neox_sycl((const sycl::half *)src0_dd, (sycl::half *)dst_dd,
                            ne00, n_dims, nrows, pos, freq_scale, ne01,
                            freq_base, ext_factor, attn_factor, corr_dims,
-                           main_stream);
+                           freq_factors, main_stream);
         } else {
             GGML_ASSERT(false);
         }
@@ -15564,27 +15123,7 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0,
     const int64_t r2 = ne12/ne02;
     const int64_t r3 = ne13/ne03;
 
-#if 0
-    // use syclGemmEx
-    {
-        for (int i13 = 0; i13 < ne13; ++i13) {
-            for (int i12 = 0; i12 < ne12; ++i12) {
-                int i03 = i13 / r3;
-                int i02 = i12 / r2;
-
-                SYCL_CHECK(
-                        syclGemmEx(g_sycl_handles[g_main_device], CUBLAS_OP_T, CUBLAS_OP_N,
-                            ne01, ne11, ne10,
-                            alpha, (const char *) src0_as_f16 + i02*src0->nb[2]   + i03*src0->nb[3]  , SYCL_R_16F,   nb01/sizeof(half),
-                                   (const char *) src1_as_f16 + i12*src1->nb[2]/2 + i13*src1->nb[3]/2, SYCL_R_16F,   nb11/sizeof(float),
-                            beta,  (      char *)       dst_t + i12*nbd2          + i13*nbd3,          cu_data_type, ne01,
-                            cu_compute_type,
-                            CUBLAS_GEMM_DEFAULT_TENSOR_OP));
-            }
-        }
-    }
-#else
-    if (r2 == 1 && r3 == 1 && src0->nb[2]*src0->ne[2] == src0->nb[3] && src1->nb[2]*src1->ne[2] == src1->nb[3]) {
+    if (r2 == 1 && r3 == 1 && ggml_is_contiguous_2(src0) && ggml_is_contiguous_2(src1)) {
         // there is no broadcast and src0, src1 are contiguous across dims 2, 3
         SYCL_CHECK(CHECK_TRY_ERROR(dpct::gemm_batch(
             *g_sycl_handles[g_main_device], oneapi::mkl::transpose::trans,
@@ -15595,7 +15134,6 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0,
             nb11 / nb10, nb12 / nb10, beta,
             (char *)dst_t, cu_data_type, ne01, nb2 / nb0,
             ne12 * ne13, cu_compute_type)));
-        g_sycl_handles[g_main_device]->wait();
     } else {
         const int ne23 = ne12*ne13;
 
@@ -15626,7 +15164,7 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0,
                                          nb02, nb03, nb12_scaled, nb13_scaled,
                                          nbd2, nbd3, r2, r3, item_ct1);
                                  });
-            }).wait();
+            });
         }
         SYCL_CHECK(CHECK_TRY_ERROR(dpct::gemm_batch(
             *g_sycl_handles[g_main_device], oneapi::mkl::transpose::trans,
@@ -15637,9 +15175,7 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0,
             dpct::library_data_t::real_half, nb11 / nb10, beta,
             (void **)(ptrs_dst.get() + 0 * ne23), cu_data_type, ne01, ne23,
             cu_compute_type)));
-        g_sycl_handles[g_main_device]->wait();
     }
-#endif
 
     if (no_mixed_dtypes) {
         const to_fp32_sycl_t to_fp32_sycl = ggml_get_to_fp32_sycl(GGML_TYPE_F16);
@@ -15652,6 +15188,29 @@ catch (sycl::exception const &exc) {
   std::exit(1);
 }
 
+inline bool ggml_sycl_supports_mmq(enum ggml_type type) {
+    // TODO: accuracy issues in MMQ
+    return false;
+}
+
+bool ggml_sycl_supports_dmmv(enum ggml_type type) {
+    switch (type) {
+        case GGML_TYPE_Q4_0:
+        case GGML_TYPE_Q4_1:
+        case GGML_TYPE_Q5_0:
+        case GGML_TYPE_Q5_1:
+        case GGML_TYPE_Q8_0:
+        case GGML_TYPE_Q2_K:
+        case GGML_TYPE_Q3_K:
+        case GGML_TYPE_Q4_K:
+        case GGML_TYPE_Q5_K:
+        case GGML_TYPE_Q6_K:
+        case GGML_TYPE_F16:
+            return true;
+        default:
+            return false;
+    }
+}
 
 static void ggml_sycl_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     const bool all_on_device =
@@ -15668,75 +15227,42 @@ static void ggml_sycl_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1
         }
     }
 
+    // check data types and tensor shapes for custom matrix multiplication kernels:
+    bool use_dequantize_mul_mat_vec = ggml_sycl_supports_dmmv(src0->type)
+        && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32
+        && src0->ne[0] % GGML_SYCL_DMMV_X == 0 && src1->ne[1] == 1;
+
+    bool use_mul_mat_vec_q =  ggml_is_quantized(src0->type)
+        && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32
+        && src1->ne[1] <= MMVQ_MAX_BATCH_SIZE;
+
+    bool use_mul_mat_q =  ggml_sycl_supports_mmq(src0->type)
+        && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32;
+
+    // mmvq and mmq need the __dp4a instruction which is available for gen12+
+    // Workaround in https://github.com/ggerganov/llama.cpp/commit/95f84d5ce8b449a9b16009434aca800df504a02e
+    use_mul_mat_q = use_mul_mat_q && (src0->type != GGML_TYPE_IQ2_XXS);
 #ifdef SYCL_USE_XMX
-    const bool use_xmx = true;
-#else
-    const bool use_xmx = false;
-#endif
+    use_mul_mat_q = use_mul_mat_q && (src1->ne[1] <= MMQ_MAX_BATCH_SIZE);
+#endif // SYCL_USE_XMX
 
-    // debug helpers
-    //printf("src0: %8d %8d %8d %8d\n", src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3]);
-    //printf("      %8d %8d %8d %8d\n", src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3]);
-    //printf("src1: %8d %8d %8d %8d\n", src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3]);
-    //printf("      %8d %8d %8d %8d\n", src1->nb[0], src1->nb[1], src1->nb[2], src1->nb[3]);
-    //printf("src0 is contiguous %d, transposed %d, type = %s, name = %s\n", ggml_is_contiguous(src0), ggml_is_transposed(src0), ggml_type_name(src0->type), src0->name);
-    //printf("src1 is contiguous %d, transposed %d, type = %s, name = %s\n", ggml_is_contiguous(src1), ggml_is_transposed(src1), ggml_type_name(src1->type), src1->name);
-
-    if (!split && all_on_device && !use_xmx && src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && src1->ne[1] == 1) {
+    if (!split && src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && src1->ne[1] == 1) {
         // KQ single-batch
-        // GGML_SYCL_DEBUG("ggml_sycl_mul_mat_vec_p021\n");
         ggml_sycl_mul_mat_vec_p021(src0, src1, dst);
-    } else if (!split && all_on_device && !use_xmx && src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && src1->ne[1] == 1) {
+    } else if (!split && src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && src1->ne[1] == 1) {
         // KQV single-batch
-        // GGML_SYCL_DEBUG("ggml_sycl_mul_mat_vec_nc\n");
         ggml_sycl_mul_mat_vec_nc(src0, src1, dst);
-    } else if (!split && all_on_device && use_xmx && src0->type == GGML_TYPE_F16 && !ggml_is_transposed(src0) && !ggml_is_transposed(src1)) {
+    } else if (!split && src0->type == GGML_TYPE_F16 && (src1->type == GGML_TYPE_F16) && !ggml_is_transposed(src0) && !ggml_is_transposed(src1) && src1->ne[2]*src1->ne[3] > 1) {
         // KQ + KQV multi-batch
-        // GGML_SYCL_DEBUG("ggml_sycl_mul_mat_batched_sycl\n");
         ggml_sycl_mul_mat_batched_sycl(src0, src1, dst);
-    } else if (src0->type == GGML_TYPE_F32) {
-        // GGML_SYCL_DEBUG("ggml_sycl_op_mul_mat\n");
-        ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_sycl, false);
-    } else if (ggml_is_quantized(src0->type) || src0->type == GGML_TYPE_F16) {
-        // GGML_SYCL_DEBUG("ggml_is_quantized or GGML_TYPE_F16\n");
-        if (src1->ne[1] == 1 && src0->ne[0] % GGML_SYCL_DMMV_X == 0) {
-#ifdef GGML_SYCL_FORCE_DMMV
-            const bool use_mul_mat_vec_q = false;
-#else
-            bool use_mul_mat_vec_q = min_compute_capability >= VER_4VEC && ggml_is_quantized(src0->type);
-            use_mul_mat_vec_q = use_mul_mat_vec_q ||
-                (src0->type == GGML_TYPE_IQ2_XXS) || (src0->type == GGML_TYPE_IQ2_XS) || (src0->type == GGML_TYPE_IQ2_S) ||
-                (src0->type == GGML_TYPE_IQ3_XXS) || (src0->type == GGML_TYPE_IQ3_S) ||
-                (src0->type == GGML_TYPE_IQ4_NL) || (src0->type == GGML_TYPE_IQ4_XS) ||
-                (src0->type == GGML_TYPE_IQ1_S) || (src0->type == GGML_TYPE_IQ1_M);
-
-
-#endif // GGML_SYCL_FORCE_DMMV
-
-            if (use_mul_mat_vec_q) {
-                // GGML_SYCL_DEBUG("ggml_sycl_mul_mat ggml_sycl_op_mul_mat_vec_q path\n");
-                ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_vec_q, true);
-            } else {
-                // GGML_SYCL_DEBUG("ggml_sycl_mul_mat ggml_sycl_op_dequantize_mul_mat_vec path\n");
-                ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_dequantize_mul_mat_vec, false);
-            }
-        } else {
-            bool use_mul_mat_q = min_compute_capability >= VER_4VEC && ggml_is_quantized(src0->type);
-
-            if (use_xmx && min_compute_capability >= VER_GEN9 && src1->ne[1] > XMX_MAX_BATCH_SIZE) {
-                use_mul_mat_q = false;
-            }
-
-            if (use_mul_mat_q) {
-                // GGML_SYCL_DEBUG("ggml_sycl_mul_mat ggml_sycl_op_mul_mat_q path\n");
-                ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_q, true);
-            } else {
-                // GGML_SYCL_DEBUG("ggml_sycl_mul_mat ggml_sycl_op_mul_mat_sycl path\n");
-                ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_sycl, false);
-            }
-        }
+    } else if (use_dequantize_mul_mat_vec) {
+        ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_dequantize_mul_mat_vec, false);
+    } else if (use_mul_mat_vec_q) {
+        ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_vec_q, true);
+    } else if (use_mul_mat_q) {
+        ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_q, true);
     } else {
-        GGML_ASSERT(false);
+        ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_sycl, false);
     }
 }
 
@@ -15913,22 +15439,86 @@ static void ggml_sycl_mul_mat_id_sycl(ggml_tensor * dst) {
 }
 #endif
 
+struct mmid_row_mapping {
+    int32_t i1;
+    int32_t i2;
+};
+
+__dpct_inline__ static void k_copy_src1_to_contiguous(
+    const char *__restrict__ src1_original, char *__restrict__ src1_contiguous,
+    int *__restrict__ cur_src1_row, mmid_row_mapping *__restrict__ row_mapping,
+    const char *__restrict ids, int64_t i02, size_t ids_nb1, size_t ids_nb0,
+    int64_t ne11, int64_t ne10, size_t nb11, size_t nb12,
+    const sycl::nd_item<3> &item_ct1, int &src1_row) {
+    int32_t iid1 = item_ct1.get_group(2);
+    int32_t id = item_ct1.get_group(1);
+
+    const int32_t row_id_i = *(const int32_t *) (ids + iid1*ids_nb1 + id*ids_nb0);
+
+    if (row_id_i != i02) {
+        return;
+    }
+
+    const int64_t i11 = id % ne11;
+    const int64_t i12 = iid1;
+
+    if (item_ct1.get_local_id(2) == 0) {
+        src1_row =
+            dpct::atomic_fetch_add<sycl::access::address_space::generic_space>(
+                cur_src1_row, 1);
+        row_mapping[src1_row] = {id, iid1};
+    }
+    /*
+    DPCT1065:194: Consider replacing sycl::nd_item::barrier() with
+    sycl::nd_item::barrier(sycl::access::fence_space::local_space) for better
+    performance if there is no access to global memory.
+    */
+    item_ct1.barrier();
+
+    const float * src1_row_original = (const float *)(src1_original + i11*nb11 + i12*nb12);
+    float * src1_row_contiguous = (float *)(src1_contiguous + src1_row*nb11);
+
+#pragma unroll
+    for (int i = item_ct1.get_local_id(2); i < ne10;
+         i += item_ct1.get_local_range(2)) {
+        src1_row_contiguous[i] = src1_row_original[i];
+    }
+}
+
+__dpct_inline__ static void k_copy_dst_from_contiguous(
+    char *__restrict__ dst_original, const char *__restrict__ dst_contiguous,
+    const mmid_row_mapping *__restrict__ row_mapping, int64_t ne0, size_t nb1,
+    size_t nb2, const sycl::nd_item<3> &item_ct1) {
+    int32_t i = item_ct1.get_group(2);
+
+    const int32_t i1 = row_mapping[i].i1;
+    const int32_t i2 = row_mapping[i].i2;
+
+    const float * dst_row_contiguous = (const float *)(dst_contiguous + i*nb1);
+    float * dst_row_original = (float *)(dst_original + i1*nb1 + i2*nb2);
+
+#pragma unroll
+    for (int j = item_ct1.get_local_id(2); j < ne0;
+         j += item_ct1.get_local_range(2)) {
+        dst_row_original[j] = dst_row_contiguous[j];
+    }
+}
+
 static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
                                  const ggml_tensor *src1,
                                  ggml_tensor *dst) try {
-    GGML_ASSERT(src0->backend != GGML_BACKEND_TYPE_GPU_SPLIT &&
-                "mul_mat_id does not support split buffers");
+    GGML_ASSERT(!ggml_backend_buffer_is_sycl_split(src0->buffer) && "mul_mat_id does not support split buffers");
+
     const ggml_tensor *ids = dst->src[2];
+    GGML_TENSOR_BINARY_OP_LOCALS
+
     const dpct::queue_ptr stream = g_syclStreams[g_main_device][0];
 
-    const size_t nb11 = src1->nb[1];
-    const size_t nb1 = dst->nb[1];
-
-    const int32_t id = ((int32_t *)dst->op_params)[0];
-    const int32_t n_as = src0->ne[2];
+    const int64_t n_as = ne02;
+    const int64_t n_ids = ids->ne[0];
 
     std::vector<char> ids_host(ggml_nbytes(ids));
-    const char *ids_dev = (const char *)ids->data;
+    const char * ids_dev = (const char *) ids->data;
 
     SYCL_CHECK(CHECK_TRY_ERROR(
         stream->memcpy(ids_host.data(), ids_dev, ggml_nbytes(ids))));
@@ -15968,24 +15558,40 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
 
     src0_row.ne[2] = 1;
     src0_row.ne[3] = 1;
-    src0_row.nb[3] = src0->nb[2];
+    src0_row.nb[3] = nb02;
 
-    if (src1->ne[1] == 1) {
-        for (int64_t i01 = 0; i01 < ids->ne[1]; i01++) {
-            const int32_t row_id =
-                *(const int32_t *)(ids_host.data() + i01 * ids->nb[1] +
-                                   id * ids->nb[0]);
+    src1_row.ne[1] = 1;
+    src1_row.ne[2] = 1;
+    src1_row.ne[3] = 1;
+    src1_row.nb[2] = nb11;
+    src1_row.nb[3] = nb11;
 
-            GGML_ASSERT(row_id >= 0 && row_id < n_as);
+    dst_row.ne[1] = 1;
+    dst_row.ne[2] = 1;
+    dst_row.ne[3] = 1;
+    dst_row.nb[2] = nb1;
+    dst_row.nb[3] = nb1;
+    if (ne12 == 1) {
+        for (int64_t iid1 = 0; iid1 < ids->ne[1]; iid1++) {
+            for (int64_t id = 0; id < n_ids; id++) {
+                const int32_t i02 = *(const int32_t *) (ids_host.data() + iid1*ids->nb[1] + id*ids->nb[0]);
+                GGML_ASSERT(i02 >= 0 && i02 < n_as);
+
+                const int64_t i11 = id % ne11;
+                const int64_t i12 = iid1;
+
+                const int64_t i1 = id;
+                const int64_t i2 = i12;
 
             src0_row_extra.data_device[g_main_device] =
-                src0_original + row_id * src0->nb[2];
+                src0_original + i02*nb02;
             src1_row_extra.data_device[g_main_device] =
-                src1_original + i01 * src1->nb[1];
+                src1_original + + i11*nb11 + i12*nb12;
             dst_row_extra.data_device[g_main_device] =
-                dst_original + i01 * dst->nb[1];
+                dst_original + i1*nb1   + i2*nb2;
 
             ggml_sycl_mul_mat(&src0_row, &src1_row, &dst_row);
+            }
         }
     } else {
         sycl_pool_alloc<char> src1_contiguous(sizeof(float)*ggml_nelements(src1));
@@ -15994,64 +15600,98 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
         src1_row_extra.data_device[g_main_device] = src1_contiguous.get();
         dst_row_extra.data_device[g_main_device]  =  dst_contiguous.get();
 
-        for (int32_t row_id = 0; row_id < n_as; ++row_id) {
+        for (int64_t i02 = 0; i02 < n_as; i02++) {
             int64_t num_src1_rows = 0;
-            for (int64_t i01 = 0; i01 < ids->ne[1]; i01++) {
-                const int32_t row_id_i = *(const int32_t *) (ids_host.data() + i01*ids->nb[1] + id*ids->nb[0]);
+            for (int64_t iid1 = 0; iid1 < ids->ne[1]; iid1++) {
+                for (int64_t id = 0; id < n_ids; id++) {
+                    const int32_t row_id_i = *(const int32_t *) (ids_host.data() + iid1*ids->nb[1] + id*ids->nb[0]);
 
-                if (row_id_i != row_id) {
-                    continue;
+                    GGML_ASSERT(row_id_i >= 0 && row_id_i < n_as);
+
+                    if (row_id_i != i02) {
+                        continue;
+                    }
+
+                    num_src1_rows++;
                 }
-
-                GGML_ASSERT(row_id >= 0 && row_id < n_as);
-
-                SYCL_CHECK(CHECK_TRY_ERROR(
-                    stream->memcpy(src1_contiguous.get() + num_src1_rows * nb11,
-                                   src1_original + i01 * nb11, nb11)));
-                num_src1_rows++;
             }
 
             if (num_src1_rows == 0) {
                 continue;
             }
 
-            src0_row_extra.data_device[g_main_device] =
-                src0_original + row_id * src0->nb[2];
 
+            sycl_pool_alloc<int> dev_cur_src1_row(1);
+            sycl_pool_alloc<mmid_row_mapping> dev_row_mapping(num_src1_rows);
+            SYCL_CHECK(CHECK_TRY_ERROR(
+                stream->memset(dev_cur_src1_row.get(), 0, sizeof(int))));
+
+            {
+                sycl::range<3> block_dims(1, 1, std::min((unsigned int)ne10, 768u));
+                sycl::range<3> grid_dims(1, n_ids, ids->ne[1]);
+                stream->submit([&](sycl::handler &cgh) {
+                    sycl::local_accessor<int, 0> src1_row_acc(cgh);
+
+                    char *__restrict src1_contiguous_get =
+                        src1_contiguous.get();
+                    int *__restrict dev_cur_src1_row_get =
+                        dev_cur_src1_row.get();
+                    mmid_row_mapping *__restrict dev_row_mapping_get =
+                        dev_row_mapping.get();
+                    size_t ids_nb_ct6 = ids->nb[1];
+                    size_t ids_nb_ct7 = ids->nb[0];
+
+                    cgh.parallel_for(
+                        sycl::nd_range<3>(grid_dims * block_dims, block_dims),
+                        [=](sycl::nd_item<3> item_ct1) {
+                            k_copy_src1_to_contiguous(
+                                src1_original, src1_contiguous_get,
+                                dev_cur_src1_row_get,
+                                dev_row_mapping_get, ids_dev, i02,
+                                ids_nb_ct6, ids_nb_ct7, ne11, ne10, nb11, nb12,
+                                item_ct1, src1_row_acc);
+                        });
+                });
+            }
+
+            src0_row_extra.data_device[g_main_device] = src0_original + i02*nb02;
+
+            GGML_ASSERT(nb11 == sizeof(float)*ne10);
+            GGML_ASSERT(nb1 == sizeof(float)*ne0);
             src1_row.ne[1] = num_src1_rows;
-            dst_row.ne[1] = num_src1_rows;
 
             src1_row.nb[1] = nb11;
             src1_row.nb[2] = num_src1_rows*nb11;
             src1_row.nb[3] = num_src1_rows*nb11;
 
+            dst_row.ne[1] = num_src1_rows;
             dst_row.nb[1] = nb1;
             dst_row.nb[2] = num_src1_rows*nb1;
             dst_row.nb[3] = num_src1_rows*nb1;
 
             ggml_sycl_mul_mat(&src0_row, &src1_row, &dst_row);
 
-            num_src1_rows = 0;
-            for (int64_t i01 = 0; i01 < ids->ne[1]; i01++) {
-                const int32_t row_id_i = *(const int32_t *) (ids_host.data() + i01*ids->nb[1] + id*ids->nb[0]);
+            {
+                sycl::range<3> block_dims(1, 1, std::min((unsigned int)ne0, 768u));
+                sycl::range<3> grid_dims(1, 1, num_src1_rows);
+                stream->submit([&](sycl::handler &cgh) {
+                    const char *__restrict dst_contiguous_get =
+                        dst_contiguous.get();
+                    const mmid_row_mapping *__restrict dev_row_mapping_get =
+                        dev_row_mapping.get();
 
-                if (row_id_i != row_id) {
-                    continue;
-                }
-
-                GGML_ASSERT(row_id >= 0 && row_id < n_as);
-
-                SYCL_CHECK(CHECK_TRY_ERROR(stream->memcpy(
-                    dst_original + i01 * nb1,
-                    dst_contiguous.get() + num_src1_rows * nb1, nb1)));
-                num_src1_rows++;
+                    cgh.parallel_for(
+                        sycl::nd_range<3>(grid_dims * block_dims, block_dims),
+                        [=](sycl::nd_item<3> item_ct1) {
+                            k_copy_dst_from_contiguous(dst_original,
+                                                       dst_contiguous_get,
+                                                       dev_row_mapping_get,
+                                                       ne0, nb1, nb2, item_ct1);
+                        });
+                });
             }
         }
     }
-
-    if (dst->backend == GGML_BACKEND_TYPE_CPU) {
-        SYCL_CHECK(CHECK_TRY_ERROR(stream->wait()));
-    }
 }
 catch (sycl::exception const &exc) {
   std::cerr << exc.what() << "Exception caught at file:" << __FILE__
@@ -17034,10 +16674,9 @@ GGML_CALL static const char * ggml_backend_sycl_split_buffer_get_name(ggml_backe
     UNUSED(buffer);
 }
 
-// unused at the moment
-//static bool ggml_backend_buffer_is_sycl_split(ggml_backend_buffer_t buffer) {
-//    return buffer->iface.get_name == ggml_backend_sycl_split_buffer_get_name;
-//}
+static bool ggml_backend_buffer_is_sycl_split(ggml_backend_buffer_t buffer) {
+   return buffer->iface.get_name == ggml_backend_sycl_split_buffer_get_name;
+}
 
 GGML_CALL static void ggml_backend_sycl_split_buffer_free_buffer(ggml_backend_buffer_t buffer) {
     ggml_backend_sycl_split_buffer_context * ctx = (ggml_backend_sycl_split_buffer_context *)buffer->context;
diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp
index d3a2fcf38..b50f55860 100644
--- a/ggml-vulkan-shaders.hpp
+++ b/ggml-vulkan-shaders.hpp
@@ -363,320 +363,349 @@ const uint64_t add_f32_len = 4276;
 
 unsigned char argsort_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x2b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x41,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0a,0x00,0x05,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0b,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x13,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x2b,0x00,0x00,0x00,
-0x33,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
-0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x00,0x04,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2a,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x00,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2a,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x30,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x30,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x30,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x30,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x89,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
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-0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,
-0x1c,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x16,0x00,0x00,0x00,
-0x20,0x01,0x00,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0xfd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,
-0x21,0x01,0x00,0x00,0x20,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x1c,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x20,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x77,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x77,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x70,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x70,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
-0x50,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x51,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x62,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x62,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x02,0x01,0x00,0x00,0x27,0x01,0x00,0x00,0x50,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x5f,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x61,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x56,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x56,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
-0x50,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x53,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x55,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x07,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x07,0x01,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+0xf9,0x00,0x02,0x00,0x6c,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xbc,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x15,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xc0,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0xae,0x00,0x05,0x00,
+0x37,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,
+0x40,0x00,0x00,0x00,0xa8,0x00,0x04,0x00,0x37,0x00,0x00,0x00,
+0xc4,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xc6,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xc4,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x37,0x00,0x00,0x00,
+0xcd,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xcf,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xcd,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xce,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x34,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xaa,0x00,0x05,0x00,0x37,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
+0xd1,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xd5,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xd2,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
+0xd9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdb,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x93,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
+0x8c,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x88,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
+0xdc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x93,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,
+0x3e,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x88,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
+0xb8,0x00,0x05,0x00,0x37,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
+0xdd,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe7,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x93,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,
+0xed,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x88,0x00,0x00,0x00,
+0xef,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
+0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf5,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x93,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
+0x8c,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x88,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0xf6,0x00,0x00,0x00,0xba,0x00,0x05,0x00,0x37,0x00,0x00,0x00,
+0xf8,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd5,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x37,0x00,0x00,0x00,
+0x3f,0x01,0x00,0x00,0xe6,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0xf8,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcf,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xcf,0x00,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x37,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0xcd,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
+0xd5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc6,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc6,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x37,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
+0xbc,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xfd,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xfb,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
+0xfd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfc,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x15,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
+0x13,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0x33,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,0x37,0x01,0x00,0x00,
+0xbe,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x32,0x01,0x00,0x00,
+0x37,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xbe,0x00,0x00,0x00,
+0x33,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x6c,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x6c,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x65,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x65,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x45,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x46,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x57,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x57,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x45,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x54,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x56,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x4b,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x4b,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x07,0x01,0x00,0x00,0x3c,0x01,0x00,0x00,0x45,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x48,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x4a,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x37,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x2f,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
+0x0e,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x0d,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
+0x41,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x44,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x1a,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
+0x12,0x01,0x00,0x00,0x3e,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x1b,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x0e,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0e,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x1d,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x1d,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t argsort_f32_len = 3752;
+const uint64_t argsort_f32_len = 4096;
 
 unsigned char clamp_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -6691,6 +6720,367 @@ unsigned char diag_mask_inf_f32_data[] = {
 };
 const uint64_t diag_mask_inf_f32_len = 1504;
 
+unsigned char div_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x67,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0a,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x17,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,
+0x4b,0x01,0x00,0x00,0x56,0x01,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x00,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x15,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x15,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x15,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x15,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5d,0x02,0x00,0x00,
+0x5a,0x02,0x00,0x00,0x5c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5e,0x02,0x00,0x00,0x56,0x02,0x00,0x00,
+0x5d,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x1a,0x00,0x00,0x00,
+0x60,0x02,0x00,0x00,0x17,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x61,0x02,0x00,0x00,
+0x60,0x02,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x62,0x02,0x00,0x00,0xf6,0x01,0x00,0x00,0x61,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x1a,0x00,0x00,0x00,0x63,0x02,0x00,0x00,
+0x17,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x64,0x02,0x00,0x00,0x63,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x65,0x02,0x00,0x00,
+0x62,0x02,0x00,0x00,0x64,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x66,0x02,0x00,0x00,0x5e,0x02,0x00,0x00,
+0x65,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x50,0x01,0x00,0x00,
+0x5b,0x01,0x00,0x00,0x56,0x01,0x00,0x00,0x34,0x01,0x00,0x00,
+0x66,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
+0x5c,0x01,0x00,0x00,0x5b,0x01,0x00,0x00,0x88,0x00,0x05,0x00,
+0x14,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0x52,0x01,0x00,0x00,
+0x5c,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x50,0x01,0x00,0x00,
+0x5e,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,0x34,0x01,0x00,0x00,
+0x47,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x5e,0x01,0x00,0x00,
+0x5d,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x62,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x62,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t div_f32_len = 4276;
+
 unsigned char gelu_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x4b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
@@ -11231,12 +11621,12 @@ unsigned char matmul_f16_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -11270,12 +11660,12 @@ unsigned char matmul_f16_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -11390,7 +11780,7 @@ unsigned char matmul_f16_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xfc,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x30,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x30,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x38,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0x7e,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x7f,0x02,0x00,0x00,0x7e,0x02,0x00,0x00,
@@ -11994,7 +12384,7 @@ const uint64_t matmul_f16_len = 10316;
 
 unsigned char matmul_f16_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xf5,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x08,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
@@ -12002,9 +12392,9 @@ unsigned char matmul_f16_aligned_data[] = {
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
 0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
-0x07,0x01,0x00,0x00,0x49,0x01,0x00,0x00,0x51,0x01,0x00,0x00,
-0x55,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x63,0x01,0x00,0x00,0x69,0x01,0x00,0x00,
+0x68,0x02,0x00,0x00,0xb1,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
@@ -12047,37 +12437,40 @@ unsigned char matmul_f16_aligned_data[] = {
 0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0xbc,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x04,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x05,0x01,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x05,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x05,0x01,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x07,0x01,0x00,0x00,
+0x47,0x00,0x04,0x00,0x02,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x03,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x03,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x03,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x03,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x03,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x05,0x01,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x07,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x21,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x22,0x01,0x00,0x00,
+0x05,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3b,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3c,0x01,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x4e,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x4f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x4f,0x01,0x00,0x00,
+0x66,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x67,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x67,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x4f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4f,0x01,0x00,0x00,
+0x67,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x67,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x4f,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x51,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x51,0x01,0x00,0x00,
+0x47,0x00,0x03,0x00,0x67,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x69,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x69,0x01,0x00,0x00,
 0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x55,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x9b,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x9c,0x02,0x00,0x00,
+0x68,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xae,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xaf,0x02,0x00,0x00,
 0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x9c,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x9c,0x02,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x9e,0x02,0x00,0x00,
+0xaf,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xaf,0x02,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb1,0x02,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x9e,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0xb1,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
@@ -12098,12 +12491,12 @@ unsigned char matmul_f16_aligned_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -12128,23 +12521,23 @@ unsigned char matmul_f16_aligned_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x68,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x78,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
@@ -12180,727 +12573,756 @@ unsigned char matmul_f16_aligned_data[] = {
 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xcd,0x00,0x00,0x00,
 0x07,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0xf7,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
 0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
-0x84,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0xf9,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xfb,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0xfb,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
+0x16,0x00,0x03,0x00,0xf9,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
 0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x04,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00,
-0x20,0x00,0x04,0x00,0x06,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,0x06,0x01,0x00,0x00,
-0x07,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x12,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x15,0x01,0x00,0x00,0x04,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x1b,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0xf7,0x00,0x00,0x00,
-0x1f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x33,0x00,0x06,0x00,0x09,0x00,0x00,0x00,0x22,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
-0x51,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x23,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x24,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0xfc,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xfd,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xfd,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x00,0x01,0x00,0x00,0xf9,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x18,0x00,0x04,0x00,0x01,0x01,0x00,0x00,
+0x00,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x02,0x01,0x00,0x00,0x01,0x01,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x03,0x01,0x00,0x00,0x02,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
+0x04,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x04,0x01,0x00,0x00,0x05,0x01,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x07,0x01,0x00,0x00,
+0x0c,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0a,0x01,0x00,0x00,0x04,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
+0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x01,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x27,0x01,0x00,0x00,0x05,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x35,0x01,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x33,0x00,0x06,0x00,0x09,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,
+0x3b,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
+0x51,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x84,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
+0x86,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
 0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,
 0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x46,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x47,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x46,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x48,0x01,0x00,0x00,
-0x04,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x48,0x01,0x00,0x00,0x49,0x01,0x00,0x00,0x04,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x4c,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x18,0x00,0x04,0x00,0x4d,0x01,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x4e,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x4f,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
-0x50,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x50,0x01,0x00,0x00,0x51,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x63,0x01,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x71,0x01,0x00,0x00,
-0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x78,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x7f,0x01,0x00,0x00,0x07,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x85,0x01,0x00,0x00,
-0x51,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x86,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x85,0x01,0x00,0x00,0x78,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x87,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x86,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x8a,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x8b,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x8e,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xa9,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
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+0x83,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x88,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,0xf5,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x89,0x02,0x00,0x00,
+0x5d,0x02,0x00,0x00,0x88,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8b,0x02,0x00,0x00,0x69,0x00,0x00,0x00,
+0xbc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8c,0x02,0x00,0x00,0x89,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8e,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xdb,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0x77,0x02,0x00,0x00,
+0xd1,0x02,0x00,0x00,0x91,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xc2,0x00,0x00,0x00,0x94,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xbc,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x90,0x02,0x00,0x00,
+0x91,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x94,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0x90,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x96,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x96,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x3f,0x00,0x00,0x00,0x8f,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,
+0x99,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
+0x9c,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x98,0x02,0x00,0x00,0x99,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x9c,0x02,0x00,0x00,
+0x97,0x02,0x00,0x00,0x98,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x97,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9f,0x02,0x00,0x00,0x84,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0x9f,0x02,0x00,0x00,0x37,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xa4,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xa2,0x02,0x00,0x00,0xa3,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa3,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,
+0xdb,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0xa8,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,
+0xa8,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
+0xaa,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa4,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0xc2,0x00,0x00,0x00,
+0xab,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,0x97,0x02,0x00,0x00,
+0xaa,0x02,0x00,0x00,0xa3,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xad,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xab,0x02,0x00,0x00,0xac,0x02,0x00,0x00,0xad,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb5,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,
+0xdb,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0xb7,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,
+0xb7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb9,0x02,0x00,0x00,0xb5,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,
+0x6c,0x02,0x00,0x00,0xb9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,0xba,0x02,0x00,0x00,
+0x84,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xbe,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc2,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,
+0xdb,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc4,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,
+0xd9,0x02,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,
+0xc6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc9,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0xcd,0x00,0x00,0x00,0xca,0x02,0x00,0x00,
+0xca,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xc4,0x00,0x00,0x00,0xcb,0x02,0x00,0x00,0xca,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0xcc,0x02,0x00,0x00,0xcd,0x02,0x00,0x00,
+0xb1,0x02,0x00,0x00,0x35,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xcd,0x02,0x00,0x00,0xcb,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xad,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xad,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x99,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x99,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x96,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x98,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x91,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x91,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,
+0xdb,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x90,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x79,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x79,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x76,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x78,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x71,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x71,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd5,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x6e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x70,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_f16_aligned_len = 10812;
+const uint64_t matmul_f16_aligned_len = 11200;
 
 unsigned char matmul_f16_aligned_fp32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xd9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0xd8,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
@@ -12908,8 +13330,8 @@ unsigned char matmul_f16_aligned_fp32_data[] = {
 0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x49,0x01,0x00,0x00,
-0x50,0x01,0x00,0x00,0x39,0x02,0x00,0x00,0x82,0x02,0x00,0x00,
+0xfd,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,
+0x50,0x01,0x00,0x00,0x38,0x02,0x00,0x00,0x81,0x02,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
@@ -12952,17 +13374,17 @@ unsigned char matmul_f16_aligned_fp32_data[] = {
 0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0xb9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x04,0x01,0x00,0x00,
-0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x05,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x05,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x01,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x02,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x02,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x05,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x07,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x07,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x21,0x01,0x00,0x00,
+0x02,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x04,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x04,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x22,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x22,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x23,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x4d,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
 0x08,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x4e,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
@@ -12971,15 +13393,15 @@ unsigned char matmul_f16_aligned_fp32_data[] = {
 0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x50,0x01,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x50,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x39,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7f,0x02,0x00,0x00,
+0x47,0x00,0x04,0x00,0x38,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7e,0x02,0x00,0x00,
 0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x80,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x80,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x7f,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7f,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x80,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x82,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x82,0x02,0x00,0x00,0x21,0x00,0x00,0x00,
+0x7f,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x81,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x81,0x02,0x00,0x00,0x21,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
 0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
@@ -13000,12 +13422,12 @@ unsigned char matmul_f16_aligned_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -13030,23 +13452,23 @@ unsigned char matmul_f16_aligned_fp32_data[] = {
 0x63,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x68,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x62,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x79,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -13083,99 +13505,97 @@ unsigned char matmul_f16_aligned_fp32_data[] = {
 0xcd,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0xf4,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0xf9,0x00,0x00,0x00,
-0xc4,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0xfa,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xff,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x03,0x01,0x00,0x00,
-0x10,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x04,0x01,0x00,0x00,
-0x03,0x01,0x00,0x00,0x1e,0x00,0x03,0x00,0x05,0x01,0x00,0x00,
-0x04,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x06,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x06,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x12,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x03,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x16,0x01,0x00,0x00,
-0x04,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x33,0x00,0x06,0x00,0x09,0x00,0x00,0x00,0x22,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
-0x51,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x23,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x24,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
-0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
-0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x46,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x47,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,
-0x46,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x48,0x01,0x00,0x00,
-0x04,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x48,0x01,0x00,0x00,0x49,0x01,0x00,0x00,0x04,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x4c,0x01,0x00,0x00,0x03,0x01,0x00,0x00,
-0x04,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x4d,0x01,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x1e,0x00,0x03,0x00,0x4e,0x01,0x00,0x00,
-0x4d,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x4f,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x4f,0x01,0x00,0x00,0x50,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x65,0x01,0x00,0x00,
-0x03,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x6c,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x22,0x01,0x00,0x00,
-0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x6d,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x6c,0x01,0x00,0x00,
-0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x6e,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x01,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x71,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x72,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
+0xf9,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
+0xf9,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0xfb,0x00,0x00,0x00,
+0xc4,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0xfc,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0xfc,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0xff,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x00,0x01,0x00,0x00,
+0xff,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x01,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x02,0x01,0x00,0x00,0x01,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
+0x03,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x03,0x01,0x00,0x00,0x04,0x01,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x06,0x01,0x00,0x00,
+0x0c,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0a,0x01,0x00,0x00,0x04,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
+0x03,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x22,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,
+0x09,0x00,0x00,0x00,0x23,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x24,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
+0x23,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
+0x24,0x01,0x00,0x00,0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
+0x25,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x75,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x90,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x46,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
+0xa7,0x00,0x00,0x00,0x46,0x01,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x48,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
+0x20,0x00,0x04,0x00,0x49,0x01,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,0x49,0x01,0x00,0x00,
+0x4a,0x01,0x00,0x00,0x04,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x4d,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x4e,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
+0x4f,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x4f,0x01,0x00,0x00,0x50,0x01,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x6b,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x6c,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x6b,0x01,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x6d,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6c,0x01,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x70,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x71,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x74,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x8f,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
-0x91,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,0x90,0x01,0x00,0x00,
-0x20,0x00,0x04,0x00,0x92,0x01,0x00,0x00,0x07,0x00,0x00,0x00,
-0x91,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xa2,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x90,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,0x8f,0x01,0x00,0x00,
+0x20,0x00,0x04,0x00,0x91,0x01,0x00,0x00,0x07,0x00,0x00,0x00,
+0x90,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0xa1,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xbd,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
-0xbc,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0xbe,0x01,0x00,0x00,
-0xc4,0x00,0x00,0x00,0xbd,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
-0xbf,0x01,0x00,0x00,0x07,0x00,0x00,0x00,0xbe,0x01,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc8,0x01,0x00,0x00,
+0xbc,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
+0xbc,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0xbd,0x01,0x00,0x00,
+0xc4,0x00,0x00,0x00,0xbc,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
+0xbe,0x01,0x00,0x00,0x07,0x00,0x00,0x00,0xbd,0x01,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc7,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd0,0x01,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xcf,0x01,0x00,0x00,
 0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xff,0x01,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xfe,0x01,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x31,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
-0x39,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x7f,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x80,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,0x20,0x00,0x04,0x00,
-0x81,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x02,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x81,0x02,0x00,0x00,0x82,0x02,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x30,0x02,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x38,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x7e,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x7f,0x02,0x00,0x00,0x7e,0x02,0x00,0x00,0x20,0x00,0x04,0x00,
+0x80,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x7f,0x02,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x80,0x02,0x00,0x00,0x81,0x02,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x87,0x02,0x00,0x00,0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x94,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
+0x86,0x02,0x00,0x00,0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x93,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x9d,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
+0x9c,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x05,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,
 0xca,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x92,0x01,0x00,0x00,0x93,0x01,0x00,0x00,0x07,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0xbf,0x01,0x00,0x00,0xc0,0x01,0x00,0x00,
+0x91,0x01,0x00,0x00,0x92,0x01,0x00,0x00,0x07,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0xbe,0x01,0x00,0x00,0xbf,0x01,0x00,0x00,
 0x07,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x0d,0x00,0x00,0x00,
 0x0e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
@@ -13232,9 +13652,9 @@ unsigned char matmul_f16_aligned_fp32_data[] = {
 0x65,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x64,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
 0x5e,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x6e,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x74,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x70,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
+0x6f,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x75,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
 0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7a,0x00,0x00,0x00,
 0x4f,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
@@ -13267,7 +13687,7 @@ unsigned char matmul_f16_aligned_fp32_data[] = {
 0x9b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x9e,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x17,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa4,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
@@ -13283,479 +13703,481 @@ unsigned char matmul_f16_aligned_fp32_data[] = {
 0xac,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xaf,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
-0xaf,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xaf,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xb2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xb2,0x00,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,
 0x3f,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
 0xb3,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
-0xc3,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,0xc1,0x00,0x00,0x00,
+0xc3,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0xc1,0x00,0x00,0x00,
 0xf6,0x00,0x04,0x00,0xb4,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,
 0xb3,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xb3,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xcd,0x00,0x00,0x00,
-0xce,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xce,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,
 0x3e,0x00,0x03,0x00,0xce,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
-0xa7,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa6,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xb2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xb4,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xd4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xd4,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0xc0,0x02,0x00,0x00,0xb0,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
-0x77,0x01,0x00,0x00,0xd7,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,0x9f,0x00,0x00,0x00,
-0xb4,0x00,0x00,0x00,0x74,0x01,0x00,0x00,0xd7,0x00,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,
-0x85,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,0x22,0x02,0x00,0x00,
+0xbf,0x02,0x00,0x00,0xb0,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
+0x76,0x01,0x00,0x00,0xd7,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,0x9f,0x00,0x00,0x00,
+0xb4,0x00,0x00,0x00,0x73,0x01,0x00,0x00,0xd7,0x00,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0x85,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,0x21,0x02,0x00,0x00,
 0xd7,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
-0xdb,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,0x8f,0x00,0x00,0x00,
+0xdb,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,0x8f,0x00,0x00,0x00,
 0xf6,0x00,0x04,0x00,0xd6,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xdb,0x00,0x00,0x00,
 0xd5,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xd5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,
-0xd5,0x00,0x00,0x00,0x27,0x01,0x00,0x00,0xe0,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,
+0xd5,0x00,0x00,0x00,0x28,0x01,0x00,0x00,0xde,0x00,0x00,0x00,
 0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,
-0xb8,0x02,0x00,0x00,0x38,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
-0xdf,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0xb7,0x02,0x00,0x00,0x38,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xdf,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0xfa,0x00,0x04,0x00,0xe3,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
 0xdf,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
-0x97,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
-0xb8,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
-0xec,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x37,0x00,0x00,0x00,
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+0xf8,0x00,0x02,0x00,0x73,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x77,0x02,0x00,0x00,0x5c,0x02,0x00,0x00,
+0xab,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x78,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x79,0x02,0x00,0x00,
+0x78,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
+0x7a,0x02,0x00,0x00,0x77,0x02,0x00,0x00,0x79,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x74,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x74,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0xc2,0x00,0x00,0x00,
+0x7b,0x02,0x00,0x00,0x72,0x02,0x00,0x00,0x67,0x02,0x00,0x00,
+0x7a,0x02,0x00,0x00,0x73,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x7d,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x7b,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,0x7d,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x85,0x02,0x00,0x00,0x5c,0x02,0x00,0x00,
+0xab,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x87,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0x86,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x88,0x02,0x00,0x00,
+0x87,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x89,0x02,0x00,0x00,0x85,0x02,0x00,0x00,0x88,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,
+0x3c,0x02,0x00,0x00,0x89,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,
+0x54,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8e,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,0xad,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x90,0x02,0x00,0x00,
+0xa8,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x92,0x02,0x00,0x00,0x90,0x02,0x00,0x00,
+0xab,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x94,0x02,0x00,0x00,0x92,0x02,0x00,0x00,0x93,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x96,0x02,0x00,0x00,
+0xa9,0x02,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x97,0x02,0x00,0x00,0x94,0x02,0x00,0x00,
+0x96,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0x97,0x02,0x00,0x00,0xad,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0xcd,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0xca,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xc4,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0x9c,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
+0x81,0x02,0x00,0x00,0x35,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x9d,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x7d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x69,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x69,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0xad,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x66,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x68,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x61,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x61,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,
+0xab,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x5e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x60,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x49,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x49,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa3,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x46,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x48,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x41,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x41,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x3e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x40,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
 const uint64_t matmul_f16_aligned_fp32_len = 10288;
@@ -13863,12 +14285,12 @@ unsigned char matmul_f16_f32_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -13902,12 +14324,12 @@ unsigned char matmul_f16_f32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -14023,7 +14445,7 @@ unsigned char matmul_f16_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xfe,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x32,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x32,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x3a,0x02,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x80,0x02,0x00,0x00,
 0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x81,0x02,0x00,0x00,
@@ -14628,7 +15050,7 @@ const uint64_t matmul_f16_f32_len = 10332;
 
 unsigned char matmul_f16_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xfd,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x12,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
@@ -14636,9 +15058,9 @@ unsigned char matmul_f16_f32_aligned_data[] = {
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
 0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
-0x07,0x01,0x00,0x00,0x49,0x01,0x00,0x00,0x51,0x01,0x00,0x00,
-0x5e,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x63,0x01,0x00,0x00,0x6b,0x01,0x00,0x00,
+0x73,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
@@ -14681,37 +15103,40 @@ unsigned char matmul_f16_f32_aligned_data[] = {
 0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0xbc,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x04,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x05,0x01,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x05,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x05,0x01,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x07,0x01,0x00,0x00,
+0x47,0x00,0x04,0x00,0x02,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x03,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x03,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x03,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x03,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x03,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x05,0x01,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x07,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x21,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x22,0x01,0x00,0x00,
+0x05,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3b,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3c,0x01,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x4e,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x4f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x4f,0x01,0x00,0x00,
+0x68,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x69,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x69,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x4f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4f,0x01,0x00,0x00,
+0x69,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x69,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x4f,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x51,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x51,0x01,0x00,0x00,
+0x47,0x00,0x03,0x00,0x69,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x6b,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6b,0x01,0x00,0x00,
 0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x5e,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa4,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xa5,0x02,0x00,0x00,
+0x73,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xb9,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xba,0x02,0x00,0x00,
 0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xa5,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xa5,0x02,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa7,0x02,0x00,0x00,
+0xba,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xba,0x02,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbc,0x02,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xa7,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0xbc,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
@@ -14732,12 +15157,12 @@ unsigned char matmul_f16_f32_aligned_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -14762,23 +15187,23 @@ unsigned char matmul_f16_f32_aligned_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x68,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x78,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
@@ -14814,733 +15239,765 @@ unsigned char matmul_f16_f32_aligned_data[] = {
 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xcd,0x00,0x00,0x00,
 0x07,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0xf7,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
 0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
-0x84,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0xf9,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xfb,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0xfb,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
+0x16,0x00,0x03,0x00,0xf9,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
 0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x04,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00,
-0x20,0x00,0x04,0x00,0x06,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,0x06,0x01,0x00,0x00,
-0x07,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x12,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x15,0x01,0x00,0x00,0x04,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x1b,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0xf7,0x00,0x00,0x00,
-0x1f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x33,0x00,0x06,0x00,0x09,0x00,0x00,0x00,0x22,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
-0x51,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x23,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x24,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0xfc,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xfd,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xfd,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x00,0x01,0x00,0x00,0xf9,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x18,0x00,0x04,0x00,0x01,0x01,0x00,0x00,
+0x00,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x02,0x01,0x00,0x00,0x01,0x01,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x03,0x01,0x00,0x00,0x02,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
+0x04,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x04,0x01,0x00,0x00,0x05,0x01,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x07,0x01,0x00,0x00,
+0x0c,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0a,0x01,0x00,0x00,0x04,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
+0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x01,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x27,0x01,0x00,0x00,0x05,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x35,0x01,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x33,0x00,0x06,0x00,0x09,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,
+0x3b,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
+0x51,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x84,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
+0x86,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
 0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,
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-0xb0,0x02,0x00,0x00,0x62,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,
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+0xe5,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x9b,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
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+0xaf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xae,0x02,0x00,0x00,
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-0xb6,0x02,0x00,0x00,0xcd,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,
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-0xb6,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,
-0xb9,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xbc,0x02,0x00,0x00,0xce,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbd,0x02,0x00,0x00,
-0xba,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,0xbd,0x02,0x00,0x00,
-0xd2,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xcd,0x00,0x00,0x00,
-0xc0,0x02,0x00,0x00,0xca,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,
-0x3d,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,
-0xc0,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x53,0x01,0x00,0x00,
-0xc2,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,0x35,0x00,0x00,0x00,
-0xb4,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xc2,0x02,0x00,0x00,
-0xc1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xa3,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xa3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x8f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,
-0xd2,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x8c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8e,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x87,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x87,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xc6,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x84,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x86,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x6f,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x6f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xc8,0x02,0x00,0x00,0xce,0x02,0x00,0x00,
-0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x6c,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x6e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x67,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x67,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xca,0x02,0x00,0x00,
-0xcd,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x64,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x66,0x02,0x00,0x00,
+0x97,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xb4,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xc2,0x00,0x00,0x00,0xb5,0x02,0x00,0x00,0xb2,0x02,0x00,0x00,
+0xb4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0xc2,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,0xad,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0xb5,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xb8,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xb6,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb7,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,
+0x97,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0xc2,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
+0xc1,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xc3,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc5,0x02,0x00,0x00,0x77,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,
+0xc5,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcb,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,
+0xcb,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,0xcd,0x02,0x00,0x00,
+0xce,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd1,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xcd,0x00,0x00,0x00,
+0xd5,0x02,0x00,0x00,0xca,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd5,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x6d,0x01,0x00,0x00,
+0xd7,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,0x35,0x00,0x00,0x00,
+0xc9,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xd7,0x02,0x00,0x00,
+0xd6,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb8,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa4,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa3,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdb,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x99,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x84,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x84,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x81,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x83,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0xe2,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x79,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7b,0x02,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_f16_f32_aligned_len = 10940;
+const uint64_t matmul_f16_f32_aligned_len = 11360;
 
 unsigned char matmul_f16_f32_aligned_fp32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -15552,8 +16009,8 @@ unsigned char matmul_f16_f32_aligned_fp32_data[] = {
 0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x49,0x01,0x00,0x00,
-0x50,0x01,0x00,0x00,0x36,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,
+0xfd,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,
+0x51,0x01,0x00,0x00,0x36,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
@@ -15596,25 +16053,25 @@ unsigned char matmul_f16_f32_aligned_fp32_data[] = {
 0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0xb9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x04,0x01,0x00,0x00,
-0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x05,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x05,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x01,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x02,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x02,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x05,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x07,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x07,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x21,0x01,0x00,0x00,
+0x02,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x04,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x04,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x22,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x22,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x4d,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x4e,0x01,0x00,0x00,
+0x23,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x4f,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x4e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x4e,0x01,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x50,0x01,0x00,0x00,
+0x4f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x4f,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x51,0x01,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x50,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x51,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x36,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x02,0x00,0x00,
 0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
@@ -15644,12 +16101,12 @@ unsigned char matmul_f16_f32_aligned_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -15674,23 +16131,23 @@ unsigned char matmul_f16_f32_aligned_fp32_data[] = {
 0x63,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x68,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x62,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x79,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -15727,677 +16184,678 @@ unsigned char matmul_f16_f32_aligned_fp32_data[] = {
 0xcd,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0xf4,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0xf9,0x00,0x00,0x00,
-0xc4,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0xfa,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xff,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x03,0x01,0x00,0x00,
-0x10,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x04,0x01,0x00,0x00,
-0x03,0x01,0x00,0x00,0x1e,0x00,0x03,0x00,0x05,0x01,0x00,0x00,
-0x04,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x06,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x06,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x12,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x03,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x16,0x01,0x00,0x00,
-0x04,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x33,0x00,0x06,0x00,0x09,0x00,0x00,0x00,0x22,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
-0x51,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x23,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x24,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
-0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
-0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x46,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x47,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,
-0x46,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x48,0x01,0x00,0x00,
-0x04,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x48,0x01,0x00,0x00,0x49,0x01,0x00,0x00,0x04,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x4c,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x4d,0x01,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x1e,0x00,0x03,0x00,0x4e,0x01,0x00,0x00,
-0x4d,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x4f,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x4f,0x01,0x00,0x00,0x50,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x52,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0xc4,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x63,0x01,0x00,0x00,0x03,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x69,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
-0x22,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x69,0x01,0x00,0x00,0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x6b,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6a,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x6e,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6f,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x72,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x8d,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x8e,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,
-0x8d,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x8f,0x01,0x00,0x00,
-0x07,0x00,0x00,0x00,0x8e,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x9f,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
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+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0xa8,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x5c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x5e,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x47,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x47,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa0,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x44,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x46,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x3f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x3f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0xa5,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x3c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x3e,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_f16_f32_aligned_fp32_len = 10224;
+const uint64_t matmul_f16_f32_aligned_fp32_len = 10240;
 
 unsigned char matmul_f16_f32_fp32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -16501,12 +16959,12 @@ unsigned char matmul_f16_f32_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -16540,13 +16998,13 @@ unsigned char matmul_f16_f32_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
@@ -16659,7 +17117,7 @@ unsigned char matmul_f16_f32_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xfc,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x2e,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x36,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0x7c,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x7d,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,
@@ -17361,12 +17819,12 @@ unsigned char matmul_f16_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -17400,13 +17858,13 @@ unsigned char matmul_f16_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
@@ -17518,7 +17976,7 @@ unsigned char matmul_f16_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xfc,0x01,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0x36,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0x7c,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0x7d,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -18222,12 +18680,12 @@ unsigned char matmul_f32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -18261,13 +18719,13 @@ unsigned char matmul_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
@@ -18381,7 +18839,7 @@ unsigned char matmul_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xfe,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x32,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x32,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x3a,0x02,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x80,0x02,0x00,0x00,
 0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x81,0x02,0x00,0x00,
@@ -18987,7 +19445,7 @@ const uint64_t matmul_f32_len = 10324;
 
 unsigned char matmul_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xfd,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x17,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
@@ -18995,8 +19453,8 @@ unsigned char matmul_f32_aligned_data[] = {
 0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,
-0x52,0x01,0x00,0x00,0x5e,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x6b,0x01,0x00,0x00,
+0x71,0x01,0x00,0x00,0x78,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
@@ -19039,37 +19497,40 @@ unsigned char matmul_f32_aligned_data[] = {
 0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0xb9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x04,0x01,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x05,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x05,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x05,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x07,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x07,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x22,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x02,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x03,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x03,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x03,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x03,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x03,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x05,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x05,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x43,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x23,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x4f,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x50,0x01,0x00,0x00,
+0x44,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x6e,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x6f,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x50,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x50,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x6f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x6f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x50,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x50,0x01,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x52,0x01,0x00,0x00,
+0x6f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x6f,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x71,0x01,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x52,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x5e,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa4,0x02,0x00,0x00,
+0x71,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbe,0x02,0x00,0x00,
 0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0xa5,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xa5,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xbf,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xbf,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0xa5,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xa7,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa7,0x02,0x00,0x00,0x21,0x00,0x00,0x00,
+0xbf,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc1,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc1,0x02,0x00,0x00,0x21,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
 0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
@@ -19090,12 +19551,12 @@ unsigned char matmul_f32_aligned_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -19120,23 +19581,23 @@ unsigned char matmul_f32_aligned_data[] = {
 0x63,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x68,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x62,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x79,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -19172,747 +19633,785 @@ unsigned char matmul_f32_aligned_data[] = {
 0xcc,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0xcd,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0xf7,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0xf4,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0xf9,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xf9,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0xfb,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0xfb,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x04,0x01,0x00,0x00,
-0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x05,0x01,0x00,0x00,
-0x04,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x06,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x06,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x12,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0xc4,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x16,0x01,0x00,0x00,
-0x04,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0xf7,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x22,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x09,0x00,0x00,0x00,
-0x23,0x01,0x00,0x00,0x22,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x24,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
-0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x25,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
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+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,
+0xd0,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,
+0xd3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd6,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,
+0xd4,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,
+0xec,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xcd,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0xca,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xda,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x07,0x01,0x00,0x00,
+0xdc,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0x35,0x00,0x00,0x00,
+0xce,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xdc,0x02,0x00,0x00,
+0xdb,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xde,0x02,0x00,0x00,
+0xec,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa8,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe0,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa0,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x89,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x89,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe2,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x86,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x88,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x81,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x81,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x80,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_f32_aligned_len = 10932;
+const uint64_t matmul_f32_aligned_len = 11432;
 
 unsigned char matmul_f32_aligned_fp32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xd2,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0xce,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,
-0x4d,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
-0x47,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,0x33,0x02,0x00,0x00,
-0x7c,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x4d,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
+0x45,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,0x2f,0x02,0x00,0x00,
+0x78,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
@@ -19955,33 +20454,33 @@ unsigned char matmul_f32_aligned_fp32_data[] = {
 0x47,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x03,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x04,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x04,0x01,0x00,0x00,
+0x00,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x01,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x01,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x04,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x06,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x06,0x01,0x00,0x00,
+0x47,0x00,0x03,0x00,0x01,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x03,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x03,0x01,0x00,0x00,
 0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1f,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x20,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4b,0x01,0x00,0x00,
+0x1d,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1e,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x48,0x01,0x00,0x00,
 0x06,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x4c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x4c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x49,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x49,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x4c,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x4e,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x4e,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x33,0x02,0x00,0x00,
+0x49,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4b,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4b,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2f,0x02,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x79,0x02,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x7a,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7a,0x02,0x00,0x00,
+0x75,0x02,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x76,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x76,0x02,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x7a,0x02,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x7c,0x02,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x02,0x00,0x00,
+0x47,0x00,0x03,0x00,0x76,0x02,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x02,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x78,0x02,0x00,0x00,
 0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
 0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -20002,13 +20501,13 @@ unsigned char matmul_f32_aligned_fp32_data[] = {
 0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
@@ -20033,22 +20532,22 @@ unsigned char matmul_f32_aligned_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x6f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x74,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x79,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x6e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -20085,97 +20584,3621 @@ unsigned char matmul_f32_aligned_fp32_data[] = {
 0x20,0x00,0x04,0x00,0xcd,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0xc4,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xd0,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
-0x38,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
-0xf9,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0xf9,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x03,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x04,0x01,0x00,0x00,0x03,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
-0x05,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x11,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x14,0x01,0x00,0x00,0x04,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0xfb,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0xfc,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xfc,0x00,0x00,0x00,
+0xfd,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0xff,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x00,0x01,0x00,0x00,0xff,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x01,0x01,0x00,0x00,0x00,0x01,0x00,0x00,
+0x20,0x00,0x04,0x00,0x02,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,0x02,0x01,0x00,0x00,
+0x03,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x05,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x08,0x01,0x00,0x00,0x04,0x00,0x00,0x00,
+0xc4,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0x03,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x33,0x00,0x06,0x00,0x09,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
+0x1d,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,
+0x51,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x20,0x01,0x00,0x00,
+0x84,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,
+0x86,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,
 0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x09,0x00,0x00,0x00,
-0x20,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x21,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x20,0x01,0x00,0x00,
-0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x22,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x21,0x01,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x23,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x22,0x01,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x3e,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x43,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x44,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
-0x43,0x01,0x00,0x00,0x1c,0x00,0x04,0x00,0x45,0x01,0x00,0x00,
-0xc4,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
-0x46,0x01,0x00,0x00,0x04,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x46,0x01,0x00,0x00,0x47,0x01,0x00,0x00,
-0x04,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x4a,0x01,0x00,0x00,
-0xc4,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x4b,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x4c,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
-0x4d,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x4d,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x60,0x01,0x00,0x00,0x03,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
-0x20,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x66,0x01,0x00,0x00,0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x68,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x67,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x6b,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6c,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6f,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x8a,0x01,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
+0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x42,0x01,0x00,0x00,
+0x84,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x43,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,
+0x42,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x44,0x01,0x00,0x00,
+0x04,0x00,0x00,0x00,0x43,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x44,0x01,0x00,0x00,0x45,0x01,0x00,0x00,0x04,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x48,0x01,0x00,0x00,0xff,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x49,0x01,0x00,0x00,0x48,0x01,0x00,0x00,
+0x20,0x00,0x04,0x00,0x4a,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x49,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,0x4a,0x01,0x00,0x00,
+0x4b,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x62,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
+0x1e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x63,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
+0x62,0x01,0x00,0x00,0x6e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x64,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
+0x63,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x68,0x01,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6b,0x01,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x86,0x01,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x8b,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,
-0x8a,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x8c,0x01,0x00,0x00,
-0x07,0x00,0x00,0x00,0x8b,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0x9c,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x87,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,
+0x86,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x88,0x01,0x00,0x00,
+0x07,0x00,0x00,0x00,0x87,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x98,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0xb7,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0xb3,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
 0xbf,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
-0xb8,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,0xb7,0x01,0x00,0x00,
-0x20,0x00,0x04,0x00,0xb9,0x01,0x00,0x00,0x07,0x00,0x00,0x00,
-0xb8,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xc2,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
+0xb4,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,0xb3,0x01,0x00,0x00,
+0x20,0x00,0x04,0x00,0xb5,0x01,0x00,0x00,0x07,0x00,0x00,0x00,
+0xb4,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0xbe,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
 0xbf,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xca,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0xc6,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xf9,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
+0xf5,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2b,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x0a,0x00,0x00,0x00,0x33,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x79,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x7a,0x02,0x00,0x00,0x79,0x02,0x00,0x00,
-0x20,0x00,0x04,0x00,0x7b,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x7a,0x02,0x00,0x00,0x3b,0x00,0x04,0x00,0x7b,0x02,0x00,0x00,
-0x7c,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x02,0x00,0x00,0x05,0x00,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,
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+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x31,0x02,0x00,0x00,
+0x30,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x32,0x02,0x00,0x00,0x2e,0x02,0x00,0x00,0x31,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x33,0x02,0x00,0x00,
+0x2a,0x02,0x00,0x00,0x32,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x35,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x35,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x3f,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x38,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
+0x3b,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0xbf,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x37,0x02,0x00,0x00,0x38,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x3b,0x02,0x00,0x00,
+0x36,0x02,0x00,0x00,0x37,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x36,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x3d,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x3d,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,
+0x36,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0x40,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,0x43,0x02,0x00,0x00,
+0x9f,0x02,0x00,0x00,0x61,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x3f,0x02,0x00,0x00,0x40,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x43,0x02,0x00,0x00,0x3e,0x02,0x00,0x00,
+0x3f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x3e,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x47,0x02,0x00,0x00,
+0x9f,0x02,0x00,0x00,0x62,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x48,0x02,0x00,0x00,0x1e,0x02,0x00,0x00,
+0x47,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4a,0x02,0x00,0x00,0x65,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4b,0x02,0x00,0x00,
+0x48,0x02,0x00,0x00,0x4a,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x4f,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,
+0xbe,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x50,0x02,0x00,0x00,0x24,0x02,0x00,0x00,0x4f,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x52,0x02,0x00,0x00,
+0x69,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x53,0x02,0x00,0x00,0x50,0x02,0x00,0x00,
+0x52,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x55,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x55,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,
+0x3e,0x02,0x00,0x00,0x97,0x02,0x00,0x00,0x58,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,0x5b,0x02,0x00,0x00,
+0xa1,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x57,0x02,0x00,0x00,0x58,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x5b,0x02,0x00,0x00,0x56,0x02,0x00,0x00,
+0x57,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x56,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5d,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xa3,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0x56,0x02,0x00,0x00,
+0x95,0x02,0x00,0x00,0x60,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xc2,0x00,0x00,0x00,0x63,0x02,0x00,0x00,0xa3,0x02,0x00,0x00,
+0x63,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x5f,0x02,0x00,0x00,
+0x60,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x63,0x02,0x00,0x00,0x5e,0x02,0x00,0x00,0x5f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x5e,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x66,0x02,0x00,0x00,0x4b,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
+0x69,0x02,0x00,0x00,0x66,0x02,0x00,0x00,0x37,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x6b,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x69,0x02,0x00,0x00,0x6a,0x02,0x00,0x00,
+0x6b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x6a,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6e,0x02,0x00,0x00,
+0x53,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0x6f,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x70,0x02,0x00,0x00,0x6f,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xc2,0x00,0x00,0x00,0x71,0x02,0x00,0x00,0x6e,0x02,0x00,0x00,
+0x70,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x6b,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x6b,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0xc2,0x00,0x00,0x00,0x72,0x02,0x00,0x00,0x69,0x02,0x00,0x00,
+0x5e,0x02,0x00,0x00,0x71,0x02,0x00,0x00,0x6a,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x74,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x72,0x02,0x00,0x00,0x73,0x02,0x00,0x00,
+0x74,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x73,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7c,0x02,0x00,0x00,
+0x53,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0x7e,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
+0x7d,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x7f,0x02,0x00,0x00,0x7e,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x80,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,
+0x7f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x81,0x02,0x00,0x00,0x33,0x02,0x00,0x00,0x80,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x83,0x02,0x00,0x00,
+0x81,0x02,0x00,0x00,0x4b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x85,0x02,0x00,0x00,0x83,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x87,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x89,0x02,0x00,0x00,
+0x87,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8b,0x02,0x00,0x00,0x89,0x02,0x00,0x00,
+0x8a,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8d,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x8d,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x90,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xcd,0x00,0x00,0x00,
+0x91,0x02,0x00,0x00,0xca,0x00,0x00,0x00,0x90,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,0x92,0x02,0x00,0x00,
+0x91,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x05,0x01,0x00,0x00,
+0x93,0x02,0x00,0x00,0x78,0x02,0x00,0x00,0x35,0x00,0x00,0x00,
+0x85,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0x93,0x02,0x00,0x00,
+0x92,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x74,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x74,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x60,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x60,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x95,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x5d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x58,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x58,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x97,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x55,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x57,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x40,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x40,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x3d,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x3f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x38,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x38,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x9e,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x35,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x37,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_f32_aligned_fp32_len = 10124;
+
+unsigned char matmul_f32_f16_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xd9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0x06,0x01,0x00,0x00,0x47,0x01,0x00,0x00,0x52,0x01,0x00,0x00,
+0x3a,0x02,0x00,0x00,0x83,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
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+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8b,0x02,0x00,0x00,
+0x87,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,0x3e,0x02,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8e,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,0x56,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x90,0x02,0x00,0x00,
+0x8e,0x02,0x00,0x00,0xae,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x92,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,
+0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x94,0x02,0x00,0x00,0x92,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x96,0x02,0x00,0x00,
+0x94,0x02,0x00,0x00,0x95,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x98,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0x96,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x99,0x02,0x00,0x00,0xae,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xcc,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x9b,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x11,0x01,0x00,0x00,0x9e,0x02,0x00,0x00,0x83,0x02,0x00,0x00,
+0x35,0x00,0x00,0x00,0x90,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x9e,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x6b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa0,0x02,0x00,0x00,0xae,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x68,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x63,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x63,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x60,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x62,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x4b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x4b,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,
+0xaa,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x48,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x4a,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x43,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x43,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x40,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x42,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_f32_f16_len = 10332;
+
+unsigned char matmul_f32_f16_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x12,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x6b,0x01,0x00,0x00,0x73,0x01,0x00,0x00,
+0x73,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x34,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x12,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x38,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x50,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x54,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x61,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x63,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x6d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xbc,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x02,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x03,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x03,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x03,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x03,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x03,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x05,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x05,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x43,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x01,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x70,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x71,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x71,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x71,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x71,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x71,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x73,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x73,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x73,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xb9,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xba,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xba,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xba,0x02,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbc,0x02,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xbc,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x10,0x00,
+0x12,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x12,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
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+0xf8,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0xc2,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,0xad,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0xb5,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xb8,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xb6,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb7,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,
+0x97,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0xc2,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
+0xc1,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xc3,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc5,0x02,0x00,0x00,0x77,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,
+0xc5,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcb,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,
+0xcb,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,0xcd,0x02,0x00,0x00,
+0xce,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd1,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xcd,0x00,0x00,0x00,
+0xd5,0x02,0x00,0x00,0xca,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd5,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x07,0x01,0x00,0x00,
+0xd7,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,0x35,0x00,0x00,0x00,
+0xc9,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xd7,0x02,0x00,0x00,
+0xd6,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb8,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa4,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa3,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdb,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x99,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x84,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x84,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x81,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x83,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0xe2,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x79,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7b,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_f32_f16_aligned_len = 11360;
+
+unsigned char matmul_f32_f16_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xd5,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0xfd,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x45,0x01,0x00,0x00,
+0x4d,0x01,0x00,0x00,0x36,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x38,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x50,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x61,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x63,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x6d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x00,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x01,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x01,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x01,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x03,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x03,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1d,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1e,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4a,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x4b,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x4b,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4d,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4d,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x36,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x02,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x7d,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7d,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x7d,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7f,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7f,0x02,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
+0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x00,0x10,0x00,0x12,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x13,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
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+0x2e,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x30,0x02,0x00,0x00,0x2f,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x31,0x02,0x00,0x00,0x0f,0x00,0x00,0x00,
+0x30,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x35,0x02,0x00,0x00,0x48,0x00,0x00,0x00,0x30,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x0d,0x00,0x00,0x00,0x37,0x02,0x00,0x00,
+0x36,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x38,0x02,0x00,0x00,0x37,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x39,0x02,0x00,0x00,
+0x35,0x02,0x00,0x00,0x38,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x3a,0x02,0x00,0x00,0x31,0x02,0x00,0x00,
+0x39,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x3c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x3c,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,
+0xd6,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0x3f,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,0x42,0x02,0x00,0x00,
+0xa5,0x02,0x00,0x00,0xbf,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x3e,0x02,0x00,0x00,0x3f,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x42,0x02,0x00,0x00,0x3d,0x02,0x00,0x00,
+0x3e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x3d,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x44,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x44,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0x3d,0x02,0x00,0x00,
+0xa0,0x02,0x00,0x00,0x47,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xc2,0x00,0x00,0x00,0x4a,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,
+0x61,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x46,0x02,0x00,0x00,
+0x47,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x4a,0x02,0x00,0x00,0x45,0x02,0x00,0x00,0x46,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x45,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x4e,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,
+0x62,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4f,0x02,0x00,0x00,0x25,0x02,0x00,0x00,0x4e,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x51,0x02,0x00,0x00,
+0x65,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x52,0x02,0x00,0x00,0x4f,0x02,0x00,0x00,
+0x51,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x56,0x02,0x00,0x00,0xa5,0x02,0x00,0x00,0xc5,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x57,0x02,0x00,0x00,
+0x2b,0x02,0x00,0x00,0x56,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x59,0x02,0x00,0x00,0x69,0x00,0x00,0x00,
+0xbc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5a,0x02,0x00,0x00,0x57,0x02,0x00,0x00,0x59,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5c,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xa8,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0x45,0x02,0x00,0x00,
+0x9e,0x02,0x00,0x00,0x5f,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xc2,0x00,0x00,0x00,0x62,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,
+0xbc,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x5e,0x02,0x00,0x00,
+0x5f,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x62,0x02,0x00,0x00,0x5d,0x02,0x00,0x00,0x5e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x5d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x64,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x64,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x3f,0x00,0x00,0x00,0x5d,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,
+0x67,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
+0x6a,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x66,0x02,0x00,0x00,0x67,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x6a,0x02,0x00,0x00,
+0x65,0x02,0x00,0x00,0x66,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x65,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x6d,0x02,0x00,0x00,0x52,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,0x70,0x02,0x00,0x00,
+0x6d,0x02,0x00,0x00,0x37,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x72,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x70,0x02,0x00,0x00,0x71,0x02,0x00,0x00,0x72,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x71,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x75,0x02,0x00,0x00,0x5a,0x02,0x00,0x00,
+0xa8,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x76,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x77,0x02,0x00,0x00,
+0x76,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
+0x78,0x02,0x00,0x00,0x75,0x02,0x00,0x00,0x77,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x72,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x72,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0xc2,0x00,0x00,0x00,
+0x79,0x02,0x00,0x00,0x70,0x02,0x00,0x00,0x65,0x02,0x00,0x00,
+0x78,0x02,0x00,0x00,0x71,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x7b,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x79,0x02,0x00,0x00,0x7a,0x02,0x00,0x00,0x7b,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x83,0x02,0x00,0x00,0x5a,0x02,0x00,0x00,
+0xa8,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x85,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0x84,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x86,0x02,0x00,0x00,
+0x85,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x87,0x02,0x00,0x00,0x83,0x02,0x00,0x00,0x86,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x88,0x02,0x00,0x00,
+0x3a,0x02,0x00,0x00,0x87,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,0x88,0x02,0x00,0x00,
+0x52,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8c,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,
+0xa5,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x90,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,
+0xa8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x92,0x02,0x00,0x00,0x90,0x02,0x00,0x00,0x91,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x94,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x95,0x02,0x00,0x00,0x92,0x02,0x00,0x00,
+0x94,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x97,0x02,0x00,0x00,0x95,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0xcd,0x00,0x00,0x00,0x98,0x02,0x00,0x00,
+0xca,0x00,0x00,0x00,0x97,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xc4,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0x05,0x01,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x7f,0x02,0x00,0x00,0x35,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x9a,0x02,0x00,0x00,0x99,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x7b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x67,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x67,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x64,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x66,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x5f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0xa8,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x5c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x5e,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x47,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x47,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa0,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x44,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x46,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x3f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x3f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0xa5,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x3c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x3e,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_f32_f16_aligned_fp32_len = 10240;
+
+unsigned char matmul_f32_f16_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xd5,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x44,0x01,0x00,0x00,
+0x50,0x01,0x00,0x00,0x36,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
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+0xf7,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xf9,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xf9,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x02,0x01,0x00,0x00,0xc3,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x03,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
+0x20,0x00,0x04,0x00,0x04,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x03,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,0x04,0x01,0x00,0x00,
+0x05,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x10,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x13,0x01,0x00,0x00,0x04,0x00,0x00,0x00,
+0xc3,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x19,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,
+0x09,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
+0x1f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
+0x20,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
+0x21,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
+0xa6,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x42,0x01,0x00,0x00,0xc3,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
+0x20,0x00,0x04,0x00,0x43,0x01,0x00,0x00,0x04,0x00,0x00,0x00,
+0x42,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,0x43,0x01,0x00,0x00,
+0x44,0x01,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x48,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x4c,0x01,0x00,0x00,0x10,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x4d,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x4e,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
+0x4f,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x4f,0x01,0x00,0x00,0x50,0x01,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x5b,0x01,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x64,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x69,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
+0x1f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
+0x69,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x6b,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
+0x6a,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x6e,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6f,0x01,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x72,0x01,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x8d,0x01,0x00,0x00,
+0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x8e,0x01,0x00,0x00,0xc3,0x00,0x00,0x00,
+0x8d,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x8f,0x01,0x00,0x00,
+0x07,0x00,0x00,0x00,0x8e,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x9f,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0xba,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0xbb,0x01,0x00,0x00,0xc3,0x00,0x00,0x00,0xba,0x01,0x00,0x00,
+0x20,0x00,0x04,0x00,0xbc,0x01,0x00,0x00,0x07,0x00,0x00,0x00,
+0xbb,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0xc5,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0xcd,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0xfc,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
+0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x36,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x7c,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x7d,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,
+0x20,0x00,0x04,0x00,0x7e,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x7d,0x02,0x00,0x00,0x3b,0x00,0x04,0x00,0x7e,0x02,0x00,0x00,
+0x7f,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x84,0x02,0x00,0x00,0x05,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x91,0x02,0x00,0x00,
+0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
+0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x05,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x8f,0x01,0x00,0x00,0x90,0x01,0x00,0x00,0x07,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0xbc,0x01,0x00,0x00,0xbd,0x01,0x00,0x00,
 0x07,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x0d,0x00,0x00,0x00,
 0x0e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
@@ -20235,523 +24258,530 @@ unsigned char matmul_f32_aligned_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x74,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7a,0x00,0x00,0x00,
-0x4f,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x7e,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x83,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
-0x83,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x85,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x79,0x00,0x00,0x00,
+0x4f,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
+0x7d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x81,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x88,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
 0x48,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
-0x84,0x00,0x00,0x00,0x0c,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x8f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x26,0x00,0x00,0x00,
-0x89,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x94,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x33,0x00,0x00,0x00,
-0x94,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x97,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
-0x97,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
-0x9b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xa4,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
-0xa4,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xa8,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0xab,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xac,0x00,0x00,0x00,
-0xa8,0x00,0x00,0x00,0xab,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,
-0xac,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xaf,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
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+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x97,0x02,0x00,0x00,
+0x95,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xcc,0x00,0x00,0x00,0x98,0x02,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x97,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0x98,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x10,0x01,0x00,0x00,0x9a,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,
+0x35,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x9a,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7b,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x67,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x67,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9c,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x64,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x66,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x5c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x5e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x47,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x47,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x44,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x46,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x3f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x3f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa2,0x02,0x00,0x00,0xa5,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x3c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x3e,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t matmul_f32_aligned_fp32_len = 10172;
+const uint64_t matmul_f32_f16_fp32_len = 10260;
 
 unsigned char matmul_f32_fp32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -20854,13 +24884,13 @@ unsigned char matmul_f32_fp32_data[] = {
 0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
@@ -20894,12 +24924,12 @@ unsigned char matmul_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -21010,7 +25040,7 @@ unsigned char matmul_f32_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xf9,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2b,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x2b,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x33,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0x79,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x7a,0x02,0x00,0x00,0x79,0x02,0x00,0x00,
@@ -21608,6 +25638,51749 @@ unsigned char matmul_f32_fp32_data[] = {
 };
 const uint64_t matmul_f32_fp32_len = 10208;
 
+unsigned char matmul_id_f16_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x30,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,
+0x59,0x01,0x00,0x00,0x84,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x0e,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x10,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x10,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2a,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2b,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x56,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x57,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x57,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x57,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x59,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x59,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x81,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x82,0x02,0x00,0x00,
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+0xbd,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0x99,0x02,0x00,0x00,
+0xc0,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,
+0xbe,0x02,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
+0x9f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa2,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,0xa3,0x02,0x00,0x00,
+0xd5,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xcf,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0xa3,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0xa5,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,
+0x84,0x02,0x00,0x00,0x15,0x00,0x00,0x00,0x97,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xa6,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,
+0xc6,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x67,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x67,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xaa,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x64,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x66,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x4f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x4f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x4c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x4e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x47,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x47,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xae,0x02,0x00,0x00,
+0xbd,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x44,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x46,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xaf,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_f16_len = 10788;
+
+unsigned char matmul_id_f16_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x5e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
+0x08,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x86,0x01,0x00,0x00,
+0x8c,0x01,0x00,0x00,0xc1,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x7a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0d,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x0d,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0f,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0f,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x45,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x46,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x89,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x8a,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x8a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x8a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x8a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x8a,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8c,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x8c,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xbe,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xbf,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xbf,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xbf,0x02,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc1,0x02,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc1,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0f,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x12,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x14,0x00,0x00,0x00,0x15,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0xfa,0x02,0x00,0x00,
+0x17,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9c,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x4a,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,
+0x9e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xa1,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa1,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xfd,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0x8a,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xfd,0x02,0x00,0x00,0xc9,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xa3,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xa7,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa2,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xab,0x02,0x00,0x00,
+0x9f,0x02,0x00,0x00,0xfd,0x02,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xae,0x02,0x00,0x00,0xab,0x02,0x00,0x00,
+0xf7,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,0xb0,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xae,0x02,0x00,0x00,
+0xaf,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xaf,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xa3,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb0,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x98,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,0x91,0x00,0x00,0x00,
+0xab,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,
+0xb5,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb7,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x03,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0xbd,0x02,0x00,0x00,0x03,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xb9,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xbd,0x02,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xb9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb8,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xc3,0x02,0x00,0x00,0xb5,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xc6,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xc5,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,
+0xc6,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc8,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0xca,0x02,0x00,0x00,
+0xb5,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xcb,0x02,0x00,0x00,0xca,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xcc,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xce,0x02,0x00,0x00,0xcd,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,
+0xcb,0x02,0x00,0x00,0xce,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd0,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,
+0xcf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd2,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,0x97,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x03,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,0xfa,0x02,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd8,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0xfd,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0xfb,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdd,0x02,0x00,0x00,0xda,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0x03,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd9,0x00,0x00,0x00,0xe0,0x02,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xdf,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,
+0xe1,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0xe2,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xe3,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,0x03,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xb7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa4,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,
+0xfd,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa3,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe9,0x02,0x00,0x00,0xfb,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x89,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x84,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x84,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,0xfa,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x81,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x83,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xec,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xec,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_f16_aligned_len = 11888;
+
+unsigned char matmul_id_f16_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x2e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x6d,0x01,0x00,0x00,0x73,0x01,0x00,0x00,0x91,0x02,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x7a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0c,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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+0x7f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x73,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x80,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x98,0x00,0x00,0x00,0x84,0x02,0x00,0x00,0x91,0x00,0x00,0x00,
+0x7b,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,
+0x85,0x02,0x00,0x00,0x84,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x87,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x87,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0x80,0x02,0x00,0x00,0xb5,0x02,0x00,0x00,
+0x88,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0x8d,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x89,0x02,0x00,0x00,0x88,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x8d,0x02,0x00,0x00,
+0x88,0x02,0x00,0x00,0x89,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x88,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0x93,0x02,0x00,0x00,0x85,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x94,0x02,0x00,0x00,
+0x93,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x96,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0x95,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x97,0x02,0x00,0x00,
+0x96,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x98,0x02,0x00,0x00,0x94,0x02,0x00,0x00,0x97,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x85,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,
+0x9b,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
+0x9f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa2,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0x67,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0xca,0x02,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa8,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,0xcd,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,
+0xa8,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0xcb,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xad,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,
+0xad,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd9,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xaf,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,
+0xb1,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0xb2,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,0x91,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xb3,0x02,0x00,0x00,0xb1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb5,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x87,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x89,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x74,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x74,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,
+0xcd,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x71,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x73,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb9,0x02,0x00,0x00,0xcb,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x59,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x54,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x54,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,0xca,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x51,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x53,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xbc,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbc,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_f16_aligned_fp32_len = 10976;
+
+unsigned char matmul_id_f16_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x31,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,
+0x59,0x01,0x00,0x00,0x86,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x0e,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x10,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x10,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2a,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2b,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x56,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x57,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x57,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x57,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x59,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x59,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x83,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x84,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x84,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x84,0x02,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x86,0x02,0x00,0x00,
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+0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
+0x9e,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa1,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0x9f,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,
+0xc7,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0xa5,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,
+0xa5,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x72,0x01,0x00,0x00,
+0xa7,0x02,0x00,0x00,0x86,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xa7,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa9,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x69,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x69,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xab,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x66,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x68,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x51,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x51,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xad,0x02,0x00,0x00,
+0xbf,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x4e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x50,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x49,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x49,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xaf,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x46,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x48,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb0,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb0,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_f16_f32_len = 10804;
+
+unsigned char matmul_id_f16_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x68,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
+0x08,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x86,0x01,0x00,0x00,
+0x8e,0x01,0x00,0x00,0xcc,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x7a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0d,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x0d,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0f,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0f,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x45,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x46,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x8b,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x8c,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x8c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x8c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x8c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x8c,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8e,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x8e,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc9,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xca,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xca,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xca,0x02,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xcc,0x02,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xcc,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0f,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x12,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x14,0x00,0x00,0x00,0x15,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x31,0x00,0x00,0x00,
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+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x9a,0x02,0x00,0x00,
+0x95,0x02,0x00,0x00,0x96,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x95,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9e,0x02,0x00,0x00,0x05,0x03,0x00,0x00,0x43,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,
+0x84,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,0x46,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,
+0x04,0x03,0x00,0x00,0x22,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa9,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,
+0xa7,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xac,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x07,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0x95,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,
+0xaf,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0xb2,0x02,0x00,0x00,0x07,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xae,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xb2,0x02,0x00,0x00,
+0xad,0x02,0x00,0x00,0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xad,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb6,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0x07,0x03,0x00,0x00,
+0xae,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xb9,0x02,0x00,0x00,
+0xb6,0x02,0x00,0x00,0x01,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xbb,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xb9,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xba,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x98,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,
+0x91,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8d,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc2,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x0d,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,
+0xef,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xc8,0x02,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xc4,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xc8,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0xce,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xce,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xd0,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xd2,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xd5,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd5,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xda,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdf,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x04,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x07,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe5,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,
+0x05,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe8,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xea,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,
+0xd6,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xd0,0x00,0x00,0x00,0xec,0x02,0x00,0x00,0xeb,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0x90,0x01,0x00,0x00,0xed,0x02,0x00,0x00,
+0xcc,0x02,0x00,0x00,0x15,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xed,0x02,0x00,0x00,0xec,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xef,0x02,0x00,0x00,
+0x0d,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc4,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xaf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf1,0x02,0x00,0x00,0x07,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xae,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x97,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x97,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf3,0x02,0x00,0x00,0x05,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x94,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x96,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x04,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8e,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf6,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_f16_f32_aligned_len = 12048;
+
+unsigned char matmul_id_f16_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x2b,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x6d,0x01,0x00,0x00,0x74,0x01,0x00,0x00,0x8f,0x02,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x7a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
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+0x6d,0x02,0x00,0x00,0xca,0x02,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0x7c,0x02,0x00,0x00,0x79,0x02,0x00,0x00,
+0xc4,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,0x7e,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x7c,0x02,0x00,0x00,
+0x7d,0x02,0x00,0x00,0x7e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x71,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x98,0x00,0x00,0x00,0x82,0x02,0x00,0x00,0x91,0x00,0x00,0x00,
+0x79,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,
+0x83,0x02,0x00,0x00,0x82,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x85,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x85,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xd0,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0x7e,0x02,0x00,0x00,0xb2,0x02,0x00,0x00,
+0x86,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0x8b,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x87,0x02,0x00,0x00,0x86,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x8b,0x02,0x00,0x00,
+0x86,0x02,0x00,0x00,0x87,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x86,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0x91,0x02,0x00,0x00,0x83,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x92,0x02,0x00,0x00,
+0x91,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x94,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0x93,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x95,0x02,0x00,0x00,
+0x94,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x96,0x02,0x00,0x00,0x92,0x02,0x00,0x00,0x95,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0x98,0x02,0x00,0x00,
+0x83,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,
+0x99,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,0x96,0x02,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa0,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0x65,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0xa0,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,0xca,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xab,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xad,0x02,0x00,0x00,
+0xab,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd9,0x00,0x00,0x00,0xae,0x02,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xad,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,
+0xaf,0x02,0x00,0x00,0xae,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x76,0x01,0x00,0x00,0xb0,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xb0,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x85,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x87,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x72,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x72,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,
+0xca,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x6f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x71,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb6,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x57,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x59,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x52,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x52,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x4f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x51,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb9,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_f16_f32_aligned_fp32_len = 10928;
+
+unsigned char matmul_id_f16_f32_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x2d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x90,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
+0x4e,0x01,0x00,0x00,0x59,0x01,0x00,0x00,0x82,0x02,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0d,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0e,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x0e,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x10,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x10,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2b,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x56,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x57,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x57,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x57,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x59,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x59,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7f,0x02,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
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+0x9a,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9d,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x9b,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0xa1,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0xa1,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x72,0x01,0x00,0x00,
+0xa3,0x02,0x00,0x00,0x82,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0x95,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xa3,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa5,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x78,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x65,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x65,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,0xbd,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x62,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x64,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x4d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x4d,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,
+0xbb,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x4a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x4c,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x45,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x45,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xab,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x42,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x44,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xac,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_f16_f32_fp32_len = 10732;
+
+unsigned char matmul_id_f16_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x2e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x90,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
+0x4e,0x01,0x00,0x00,0x59,0x01,0x00,0x00,0x82,0x02,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0d,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0e,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x0e,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x10,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x10,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2b,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x56,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x57,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x57,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x57,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x59,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x59,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7f,0x02,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x80,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x80,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x80,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x82,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x82,0x02,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
+0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x00,0x0f,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x12,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x14,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x15,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x31,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x36,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
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+0xe3,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x06,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x08,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x01,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x01,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x2c,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xfe,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x00,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xf9,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf9,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x2e,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf6,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf8,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf1,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xf1,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x30,0x02,0x00,0x00,
+0xdb,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xee,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xf0,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8e,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8e,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x32,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8b,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8d,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,0x0c,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x34,0x02,0x00,0x00,
+0xba,0x02,0x00,0x00,0x4e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xdd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdf,0x00,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x39,0x02,0x00,0x00,
+0x37,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x3a,0x02,0x00,0x00,0xb4,0x00,0x00,0x00,
+0x39,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3f,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x40,0x02,0x00,0x00,
+0xa3,0x00,0x00,0x00,0x3f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x42,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x42,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0xac,0x02,0x00,0x00,
+0x45,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x48,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,0xcb,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x44,0x02,0x00,0x00,0x45,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x48,0x02,0x00,0x00,
+0x43,0x02,0x00,0x00,0x44,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x43,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x4a,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x4a,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0x43,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0x4d,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x50,0x02,0x00,0x00,
+0xbc,0x02,0x00,0x00,0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x4c,0x02,0x00,0x00,0x4d,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x50,0x02,0x00,0x00,0x4b,0x02,0x00,0x00,
+0x4c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x4b,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x54,0x02,0x00,0x00,
+0xbc,0x02,0x00,0x00,0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x55,0x02,0x00,0x00,0x3a,0x02,0x00,0x00,
+0x54,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x57,0x02,0x00,0x00,0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x58,0x02,0x00,0x00,
+0x55,0x02,0x00,0x00,0x57,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5c,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
+0xda,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5d,0x02,0x00,0x00,0x40,0x02,0x00,0x00,0x5c,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5f,0x02,0x00,0x00,
+0x4a,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x60,0x02,0x00,0x00,0x5d,0x02,0x00,0x00,
+0x5f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x62,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x62,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0x4b,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,0x65,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x68,0x02,0x00,0x00,
+0xbe,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x64,0x02,0x00,0x00,0x65,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x68,0x02,0x00,0x00,0x63,0x02,0x00,0x00,
+0x64,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x63,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6c,0x02,0x00,0x00,
+0x60,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x6f,0x02,0x00,0x00,0x6c,0x02,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,0x71,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x6f,0x02,0x00,0x00,
+0x70,0x02,0x00,0x00,0x71,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x70,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x64,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x71,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x97,0x00,0x00,0x00,0x75,0x02,0x00,0x00,0x90,0x00,0x00,0x00,
+0x6c,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0x76,0x02,0x00,0x00,0x75,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x78,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x78,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0x71,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,
+0x79,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x7e,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x7a,0x02,0x00,0x00,0x79,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x7e,0x02,0x00,0x00,
+0x79,0x02,0x00,0x00,0x7a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x79,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0x84,0x02,0x00,0x00,0x76,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x85,0x02,0x00,0x00,
+0x84,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x87,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0x86,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x88,0x02,0x00,0x00,
+0x87,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x89,0x02,0x00,0x00,0x85,0x02,0x00,0x00,0x88,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x8b,0x02,0x00,0x00,
+0x76,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0x8d,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x8f,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x90,0x02,0x00,0x00,
+0x8c,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x91,0x02,0x00,0x00,0x89,0x02,0x00,0x00,
+0x90,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x93,0x02,0x00,0x00,0x91,0x02,0x00,0x00,0x58,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x95,0x02,0x00,0x00,
+0x93,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x97,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0x97,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x99,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9e,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,
+0x9e,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd8,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,
+0xa0,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0xa2,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0xa3,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,0x82,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0x95,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xa4,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x78,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x65,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x65,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,
+0xbe,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x62,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x64,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x4d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x4d,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xaa,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x4a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x4c,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x45,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x45,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x42,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x44,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xad,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xad,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_f16_fp32_len = 10748;
+
+unsigned char matmul_id_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x31,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
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+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x4c,0x02,0x00,0x00,
+0x47,0x02,0x00,0x00,0x48,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x47,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x4e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x4e,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0x47,0x02,0x00,0x00,0xad,0x02,0x00,0x00,0x51,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x54,0x02,0x00,0x00,
+0xbf,0x02,0x00,0x00,0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x50,0x02,0x00,0x00,0x51,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x54,0x02,0x00,0x00,0x4f,0x02,0x00,0x00,
+0x50,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x4f,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x58,0x02,0x00,0x00,
+0xbf,0x02,0x00,0x00,0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x59,0x02,0x00,0x00,0x3e,0x02,0x00,0x00,
+0x58,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5b,0x02,0x00,0x00,0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5c,0x02,0x00,0x00,
+0x59,0x02,0x00,0x00,0x5b,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x60,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,
+0xdc,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x61,0x02,0x00,0x00,0x44,0x02,0x00,0x00,0x60,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x63,0x02,0x00,0x00,
+0x4a,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x64,0x02,0x00,0x00,0x61,0x02,0x00,0x00,
+0x63,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x66,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x66,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0x4f,0x02,0x00,0x00,0xab,0x02,0x00,0x00,0x69,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x6c,0x02,0x00,0x00,
+0xc1,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x68,0x02,0x00,0x00,0x69,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x6c,0x02,0x00,0x00,0x67,0x02,0x00,0x00,
+0x68,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x67,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x70,0x02,0x00,0x00,
+0x64,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x73,0x02,0x00,0x00,0x70,0x02,0x00,0x00,
+0xbb,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,0x75,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x73,0x02,0x00,0x00,
+0x74,0x02,0x00,0x00,0x75,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x74,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x68,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x75,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x97,0x00,0x00,0x00,0x79,0x02,0x00,0x00,0x90,0x00,0x00,0x00,
+0x70,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0x7a,0x02,0x00,0x00,0x79,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0x75,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,
+0x7d,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x82,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x7e,0x02,0x00,0x00,0x7d,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x82,0x02,0x00,0x00,
+0x7d,0x02,0x00,0x00,0x7e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7d,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0x88,0x02,0x00,0x00,0x7a,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x89,0x02,0x00,0x00,
+0x88,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8d,0x02,0x00,0x00,0x89,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x8f,0x02,0x00,0x00,
+0x7a,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x90,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x92,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0x91,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x93,0x02,0x00,0x00,0x92,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x94,0x02,0x00,0x00,
+0x90,0x02,0x00,0x00,0x93,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x95,0x02,0x00,0x00,0x8d,0x02,0x00,0x00,
+0x94,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x97,0x02,0x00,0x00,0x95,0x02,0x00,0x00,0x5c,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x99,0x02,0x00,0x00,
+0x97,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd8,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,
+0xa4,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xa5,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x1b,0x01,0x00,0x00,0xa7,0x02,0x00,0x00,0x86,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xa7,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x69,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x69,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xab,0x02,0x00,0x00,
+0xc1,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x66,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x68,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x51,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x51,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xad,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x4e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x50,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x49,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x49,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x46,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x48,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb0,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_f32_len = 10796;
+
+unsigned char matmul_id_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x6d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,
+0x8e,0x01,0x00,0x00,0x94,0x01,0x00,0x00,0xd1,0x02,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
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+0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,0xf0,0x02,0x00,0x00,
+0xd6,0x00,0x00,0x00,0xef,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xd0,0x00,0x00,0x00,0xf1,0x02,0x00,0x00,0xf0,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0x11,0x01,0x00,0x00,0xf2,0x02,0x00,0x00,
+0xd1,0x02,0x00,0x00,0x15,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xf2,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x02,0x00,0x00,
+0x12,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf6,0x02,0x00,0x00,0x0c,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x9c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x9c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf8,0x02,0x00,0x00,0x0a,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x99,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x9b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x94,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x94,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,
+0x09,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x91,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x93,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xfb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xfb,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_f32_aligned_len = 12120;
+
+unsigned char matmul_id_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x24,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x07,0x01,0x00,0x00,
+0x0d,0x01,0x00,0x00,0x68,0x01,0x00,0x00,0x6e,0x01,0x00,0x00,
+0x88,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x7a,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0a,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x0b,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x0b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x0b,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0d,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x27,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x28,0x01,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x6b,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x6c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x6c,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x6c,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x6e,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6e,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x85,0x02,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x86,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x86,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x86,0x02,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x88,0x02,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x88,0x02,0x00,0x00,
+0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
+0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1e,0x00,0x0f,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x12,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x12,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x31,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x36,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x42,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x49,0x00,0x00,0x00,
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+0x30,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x0c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x07,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x07,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x32,0x02,0x00,0x00,0xe6,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x04,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x06,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xff,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xff,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x34,0x02,0x00,0x00,
+0xe4,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xfc,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xfe,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf7,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf7,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x36,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf4,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf6,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x94,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x94,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x38,0x02,0x00,0x00,0xda,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x91,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x93,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe1,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,0x4e,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe0,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3f,0x02,0x00,0x00,0x37,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x40,0x02,0x00,0x00,
+0xb5,0x00,0x00,0x00,0x3f,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x45,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xc6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x46,0x02,0x00,0x00,0xa4,0x00,0x00,0x00,0x45,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x48,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x48,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xc0,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0xb1,0x02,0x00,0x00,0x4b,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0x4e,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,
+0xcc,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x4a,0x02,0x00,0x00,
+0x4b,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x4e,0x02,0x00,0x00,0x49,0x02,0x00,0x00,0x4a,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x49,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x50,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x50,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0x49,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,
+0x53,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0x56,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0x42,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x52,0x02,0x00,0x00,0x53,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x56,0x02,0x00,0x00,
+0x51,0x02,0x00,0x00,0x52,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x51,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5a,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0x43,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5b,0x02,0x00,0x00,
+0x40,0x02,0x00,0x00,0x5a,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5d,0x02,0x00,0x00,0x46,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5e,0x02,0x00,0x00,0x5b,0x02,0x00,0x00,0x5d,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x62,0x02,0x00,0x00,
+0xc0,0x02,0x00,0x00,0xe0,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x63,0x02,0x00,0x00,0x46,0x02,0x00,0x00,
+0x62,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x65,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x66,0x02,0x00,0x00,
+0x63,0x02,0x00,0x00,0x65,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x68,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x68,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xc3,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0x51,0x02,0x00,0x00,0xad,0x02,0x00,0x00,
+0x6b,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0x6e,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0xc9,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x6a,0x02,0x00,0x00,0x6b,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x6e,0x02,0x00,0x00,
+0x69,0x02,0x00,0x00,0x6a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x69,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x72,0x02,0x00,0x00,0x66,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,
+0xae,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0x75,0x02,0x00,0x00,
+0x72,0x02,0x00,0x00,0xbd,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x77,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x75,0x02,0x00,0x00,0x76,0x02,0x00,0x00,0x77,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x76,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x6a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x77,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x98,0x00,0x00,0x00,0x7b,0x02,0x00,0x00,
+0x91,0x00,0x00,0x00,0x72,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8d,0x00,0x00,0x00,0x7c,0x02,0x00,0x00,0x7b,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7e,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xc9,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0x77,0x02,0x00,0x00,
+0xab,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0x84,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x80,0x02,0x00,0x00,
+0x7f,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x84,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,0x80,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0x8d,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0x8c,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x8e,0x02,0x00,0x00,0x8d,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8f,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,
+0x8e,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0x91,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x92,0x02,0x00,0x00,
+0x91,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x94,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0x93,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x95,0x02,0x00,0x00,
+0x94,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x96,0x02,0x00,0x00,0x92,0x02,0x00,0x00,0x95,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x97,0x02,0x00,0x00,
+0x8f,0x02,0x00,0x00,0x96,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x97,0x02,0x00,0x00,
+0x5e,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9b,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,
+0xc0,0x02,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa1,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa3,0x02,0x00,0x00,
+0xc1,0x02,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xd6,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xd0,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0x0f,0x01,0x00,0x00,0xa9,0x02,0x00,0x00,
+0x88,0x02,0x00,0x00,0x15,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xa9,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xab,0x02,0x00,0x00,
+0xc9,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x80,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x6b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xad,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x68,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x53,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x53,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x50,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x52,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x4b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x4b,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb1,0x02,0x00,0x00,
+0xc0,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x48,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x4a,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb2,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_f32_aligned_fp32_len = 10812;
+
+unsigned char matmul_id_f32_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x2a,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
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+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x4d,0x02,0x00,0x00,
+0x48,0x02,0x00,0x00,0x49,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x48,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x51,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,0x43,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x52,0x02,0x00,0x00,
+0x37,0x02,0x00,0x00,0x51,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x54,0x02,0x00,0x00,0x46,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x55,0x02,0x00,0x00,0x52,0x02,0x00,0x00,0x54,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x59,0x02,0x00,0x00,
+0xb7,0x02,0x00,0x00,0xd7,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5a,0x02,0x00,0x00,0x3d,0x02,0x00,0x00,
+0x59,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5c,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5d,0x02,0x00,0x00,
+0x5a,0x02,0x00,0x00,0x5c,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x5f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,
+0x62,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x65,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x61,0x02,0x00,0x00,0x62,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x65,0x02,0x00,0x00,
+0x60,0x02,0x00,0x00,0x61,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x60,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x69,0x02,0x00,0x00,0x5d,0x02,0x00,0x00,0xba,0x02,0x00,0x00,
+0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x6c,0x02,0x00,0x00,
+0x69,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x6e,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x6c,0x02,0x00,0x00,0x6d,0x02,0x00,0x00,0x6e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x6d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x61,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x6e,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,0x72,0x02,0x00,0x00,
+0x90,0x00,0x00,0x00,0x69,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0x73,0x02,0x00,0x00,0x72,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x75,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x75,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xc0,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0x6e,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x76,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x7b,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x77,0x02,0x00,0x00,
+0x76,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x7b,0x02,0x00,0x00,0x76,0x02,0x00,0x00,0x77,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x76,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0x81,0x02,0x00,0x00,0x73,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x82,0x02,0x00,0x00,0x81,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0x84,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0x83,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x85,0x02,0x00,0x00,0x84,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x86,0x02,0x00,0x00,0x82,0x02,0x00,0x00,
+0x85,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0x88,0x02,0x00,0x00,0x73,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x89,0x02,0x00,0x00,
+0x88,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8d,0x02,0x00,0x00,0x89,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,
+0x86,0x02,0x00,0x00,0x8d,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x90,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,
+0x55,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x92,0x02,0x00,0x00,0x90,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x94,0x02,0x00,0x00,
+0xb7,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x96,0x02,0x00,0x00,0x94,0x02,0x00,0x00,
+0xba,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x98,0x02,0x00,0x00,0x96,0x02,0x00,0x00,0x97,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0xb8,0x02,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
+0x9a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0xd5,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xcf,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0x1a,0x01,0x00,0x00,0xa0,0x02,0x00,0x00,
+0x7f,0x02,0x00,0x00,0x15,0x00,0x00,0x00,0x92,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xa0,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0xc0,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x75,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x77,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x62,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x62,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa4,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x61,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x4a,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x4a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x47,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x49,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x42,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x42,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,
+0xb7,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x3f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x41,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa9,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_f32_fp32_len = 10680;
+
+unsigned char matmul_id_q2_k_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x75,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
+0x63,0x01,0x00,0x00,0x94,0x01,0x00,0x00,0x9f,0x01,0x00,0x00,
+0xcc,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,
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+0x41,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x41,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x78,0x02,0x00,0x00,
+0x2c,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x3e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x40,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x39,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x39,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x7a,0x02,0x00,0x00,0x28,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x36,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x38,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xd5,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd5,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x7c,0x02,0x00,0x00,0x22,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd2,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd4,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe0,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x7e,0x02,0x00,0x00,0x07,0x03,0x00,0x00,0x4e,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xdf,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x83,0x02,0x00,0x00,0x37,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x84,0x02,0x00,0x00,
+0xb4,0x00,0x00,0x00,0x83,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x89,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xc5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8a,0x02,0x00,0x00,0xa3,0x00,0x00,0x00,0x89,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8c,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x08,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0xf5,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x92,0x02,0x00,0x00,0x08,0x03,0x00,0x00,
+0xcb,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x8e,0x02,0x00,0x00,
+0x8f,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x92,0x02,0x00,0x00,0x8d,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x94,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x94,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x09,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0x8d,0x02,0x00,0x00,0xf3,0x02,0x00,0x00,
+0x97,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x9a,0x02,0x00,0x00,0x09,0x03,0x00,0x00,0x42,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x96,0x02,0x00,0x00,0x97,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x9a,0x02,0x00,0x00,
+0x95,0x02,0x00,0x00,0x96,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x95,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9e,0x02,0x00,0x00,0x09,0x03,0x00,0x00,0x43,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,
+0x84,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,0x46,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,
+0x08,0x03,0x00,0x00,0x22,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa9,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,
+0xa7,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xac,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x0b,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0x95,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,
+0xaf,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xb2,0x02,0x00,0x00,0x0b,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xae,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xb2,0x02,0x00,0x00,
+0xad,0x02,0x00,0x00,0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xad,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb6,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0x0b,0x03,0x00,0x00,
+0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xb9,0x02,0x00,0x00,
+0xb6,0x02,0x00,0x00,0x05,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xbb,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xb9,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xba,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,
+0x90,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc2,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x11,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,
+0xef,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0xc8,0x02,0x00,0x00,0x11,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xc4,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xc8,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0xce,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xce,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xd0,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xd2,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0xd5,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd5,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xda,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdf,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,0x11,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x08,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x0b,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe5,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,
+0x09,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe8,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xea,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0x11,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,
+0xd5,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xcf,0x00,0x00,0x00,0xec,0x02,0x00,0x00,0xeb,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0xb7,0x01,0x00,0x00,0xed,0x02,0x00,0x00,
+0xcc,0x02,0x00,0x00,0x15,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xed,0x02,0x00,0x00,0xec,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xef,0x02,0x00,0x00,
+0x11,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc4,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xaf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf1,0x02,0x00,0x00,0x0b,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xae,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x97,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x97,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf3,0x02,0x00,0x00,0x09,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x94,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x96,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x08,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8e,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf6,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_q2_k_f32_len = 11712;
+
+unsigned char matmul_id_q2_k_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x9e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
+0x63,0x01,0x00,0x00,0xb0,0x01,0x00,0x00,0xb8,0x01,0x00,0x00,
+0xfa,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
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+0xd5,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,0xd4,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,
+0x4a,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,
+0xd7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xda,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xda,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x39,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x1f,0x03,0x00,0x00,0xdd,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xe0,0x02,0x00,0x00,
+0x39,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xdc,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe0,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xdc,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xdb,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x39,0x03,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,
+0x33,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0xe9,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe7,0x02,0x00,0x00,
+0xe8,0x02,0x00,0x00,0xe9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xdc,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x98,0x00,0x00,0x00,0xed,0x02,0x00,0x00,0x91,0x00,0x00,0x00,
+0xe4,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,
+0xee,0x02,0x00,0x00,0xed,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xf0,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x3f,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xe9,0x02,0x00,0x00,0x1d,0x03,0x00,0x00,
+0xf1,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0xf6,0x02,0x00,0x00,0x3f,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xf2,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf6,0x02,0x00,0x00,
+0xf1,0x02,0x00,0x00,0xf2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf1,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xfc,0x02,0x00,0x00,0xee,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xfd,0x02,0x00,0x00,
+0xfc,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xff,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xfe,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x00,0x03,0x00,0x00,
+0xff,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x01,0x03,0x00,0x00,0xfd,0x02,0x00,0x00,0x00,0x03,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0x03,0x03,0x00,0x00,
+0xee,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x04,0x03,0x00,0x00,0x03,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x06,0x03,0x00,0x00,
+0x13,0x00,0x00,0x00,0x05,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x07,0x03,0x00,0x00,0x06,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x08,0x03,0x00,0x00,
+0x04,0x03,0x00,0x00,0x07,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x09,0x03,0x00,0x00,0x01,0x03,0x00,0x00,
+0x08,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0b,0x03,0x00,0x00,0x09,0x03,0x00,0x00,0xd0,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x0b,0x03,0x00,0x00,0x3f,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,0x36,0x03,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x11,0x03,0x00,0x00,0x0f,0x03,0x00,0x00,0x39,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x13,0x03,0x00,0x00,
+0x11,0x03,0x00,0x00,0x12,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x15,0x03,0x00,0x00,0x37,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x16,0x03,0x00,0x00,0x13,0x03,0x00,0x00,0x15,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x18,0x03,0x00,0x00,
+0x16,0x03,0x00,0x00,0x3f,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd9,0x00,0x00,0x00,0x19,0x03,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x18,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,
+0x1a,0x03,0x00,0x00,0x19,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0xba,0x01,0x00,0x00,0x1b,0x03,0x00,0x00,0xfa,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x1b,0x03,0x00,0x00,0x1a,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1d,0x03,0x00,0x00,0x3f,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf0,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf2,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xdd,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xdd,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1f,0x03,0x00,0x00,
+0x39,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xda,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xdc,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x21,0x03,0x00,0x00,0x37,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x23,0x03,0x00,0x00,0x36,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xba,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbc,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x24,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x24,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q2_k_f32_aligned_len = 12488;
+
+unsigned char matmul_id_q2_k_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x75,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
+0x2a,0x01,0x00,0x00,0x64,0x01,0x00,0x00,0xaf,0x01,0x00,0x00,
+0xb6,0x01,0x00,0x00,0xd1,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x7a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x22,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x23,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x26,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x26,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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+0x3d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x3f,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xdd,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xdd,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x81,0x02,0x00,0x00,0x27,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xda,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xdc,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,0x0c,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x83,0x02,0x00,0x00,
+0x0c,0x03,0x00,0x00,0x4e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x88,0x02,0x00,0x00,
+0x37,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x89,0x02,0x00,0x00,0xb5,0x00,0x00,0x00,
+0x88,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8e,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8f,0x02,0x00,0x00,
+0xa4,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x91,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x91,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,
+0x94,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0x97,0x02,0x00,0x00,0x0d,0x03,0x00,0x00,0xcc,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x93,0x02,0x00,0x00,0x94,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x97,0x02,0x00,0x00,
+0x92,0x02,0x00,0x00,0x93,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x92,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x99,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x99,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x0e,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0x92,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x9b,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x9f,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x9b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x9a,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa3,0x02,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0x89,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xa4,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xab,0x02,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x29,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xac,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0xab,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xae,0x02,0x00,0x00,
+0x4a,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
+0xae,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb1,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb1,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x10,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0x9a,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,
+0x10,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xb3,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xb7,0x02,0x00,0x00,0xb2,0x02,0x00,0x00,
+0xb3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb2,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,
+0xaf,0x02,0x00,0x00,0x10,0x03,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
+0x0a,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0xc0,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xbe,0x02,0x00,0x00,
+0xbf,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xbf,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc0,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x98,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0x91,0x00,0x00,0x00,
+0xbb,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,
+0xc5,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc7,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x16,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,0xf4,0x02,0x00,0x00,
+0xc8,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0xcd,0x02,0x00,0x00,0x16,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xc9,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xcd,0x02,0x00,0x00,
+0xc8,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc8,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xc5,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,
+0xd3,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xd6,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xd5,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,
+0xd6,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd8,0x02,0x00,0x00,0xd4,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0xda,0x02,0x00,0x00,
+0xc5,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,0xda,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xde,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0xdb,0x02,0x00,0x00,0xde,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe0,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,
+0xdf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe2,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
+0xe2,0x02,0x00,0x00,0x16,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe6,0x02,0x00,0x00,0x0d,0x03,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe8,0x02,0x00,0x00,0xe6,0x02,0x00,0x00,0x10,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,
+0xe8,0x02,0x00,0x00,0xe9,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xec,0x02,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xed,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0xec,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xef,0x02,0x00,0x00,
+0xed,0x02,0x00,0x00,0x16,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd9,0x00,0x00,0x00,0xf0,0x02,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xef,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,
+0xf1,0x02,0x00,0x00,0xf0,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0xb8,0x01,0x00,0x00,0xf2,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xf2,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf4,0x02,0x00,0x00,0x16,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x02,0x00,0x00,
+0x10,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf8,0x02,0x00,0x00,0x0e,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x99,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x94,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x94,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x91,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x93,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xfb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xfb,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q2_k_f32_aligned_fp32_len = 11756;
+
+unsigned char matmul_id_q2_k_f32_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x6e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x29,0x01,0x00,0x00,0x63,0x01,0x00,0x00,0x92,0x01,0x00,0x00,
+0x9d,0x01,0x00,0x00,0xc5,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
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+0xf9,0x00,0x02,0x00,0xef,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xef,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_q2_k_f32_fp32_len = 11592;
+
+unsigned char matmul_id_q3_k_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xff,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x90,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0xb5,0x01,0x00,0x00,
+0x14,0x02,0x00,0x00,0x1f,0x02,0x00,0x00,0x4c,0x03,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3b,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3c,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3e,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x40,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x40,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x40,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x40,0x01,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x6c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x41,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x42,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x42,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x42,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xf0,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xf1,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1c,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x1d,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1d,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x1d,0x02,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x02,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x49,0x03,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x4a,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4a,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x4a,0x03,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4c,0x03,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4c,0x03,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0f,0x00,
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+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x12,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x14,0x00,0x00,0x00,0x15,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x31,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
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+0x06,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
+0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x49,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
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+0x06,0x00,0x00,0x00,0x56,0x03,0x00,0x00,0x55,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x58,0x03,0x00,0x00,
+0x13,0x00,0x00,0x00,0x57,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x59,0x03,0x00,0x00,0x58,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5a,0x03,0x00,0x00,
+0x56,0x03,0x00,0x00,0x59,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5b,0x03,0x00,0x00,0x53,0x03,0x00,0x00,
+0x5a,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5d,0x03,0x00,0x00,0x5b,0x03,0x00,0x00,0x22,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5f,0x03,0x00,0x00,
+0x5d,0x03,0x00,0x00,0x8d,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x61,0x03,0x00,0x00,0x84,0x03,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x63,0x03,0x00,0x00,0x61,0x03,0x00,0x00,0x87,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x65,0x03,0x00,0x00,
+0x63,0x03,0x00,0x00,0x64,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x67,0x03,0x00,0x00,0x85,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x68,0x03,0x00,0x00,0x65,0x03,0x00,0x00,0x67,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6a,0x03,0x00,0x00,
+0x68,0x03,0x00,0x00,0x8d,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd8,0x00,0x00,0x00,0x6b,0x03,0x00,0x00,0xd5,0x00,0x00,0x00,
+0x6a,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0x6c,0x03,0x00,0x00,0x6b,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0x37,0x02,0x00,0x00,0x6d,0x03,0x00,0x00,0x4c,0x03,0x00,0x00,
+0x15,0x00,0x00,0x00,0x5f,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x6d,0x03,0x00,0x00,0x6c,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x6f,0x03,0x00,0x00,0x8d,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x42,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x44,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x2f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x2f,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x71,0x03,0x00,0x00,
+0x87,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x2c,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x2e,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x17,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x17,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x73,0x03,0x00,0x00,0x85,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x14,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x16,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x0f,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x0f,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x75,0x03,0x00,0x00,0x84,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x0c,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x0e,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x76,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x76,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q3_k_f32_len = 13616;
+
+unsigned char matmul_id_q3_k_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x28,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0xb5,0x01,0x00,0x00,
+0x30,0x02,0x00,0x00,0x38,0x02,0x00,0x00,0x7a,0x03,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x7a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3b,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3c,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3e,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x40,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x40,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x40,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x40,0x01,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x6c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x41,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x42,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x42,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x42,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xf0,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xf1,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x36,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x36,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x36,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x36,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x36,0x02,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x38,0x02,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x38,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x77,0x03,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x78,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x78,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x78,0x03,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7a,0x03,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7a,0x03,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
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+0x6c,0x00,0x00,0x00,0x60,0x03,0x00,0x00,0xb5,0x03,0x00,0x00,
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+0xbb,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x72,0x03,0x00,0x00,0x71,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x76,0x03,0x00,0x00,0x71,0x03,0x00,0x00,
+0x72,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x71,0x03,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0x7c,0x03,0x00,0x00,
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+0x87,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x89,0x03,0x00,0x00,0x81,0x03,0x00,0x00,0x88,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8b,0x03,0x00,0x00,
+0x89,0x03,0x00,0x00,0x50,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8d,0x03,0x00,0x00,0x8b,0x03,0x00,0x00,
+0xbb,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8f,0x03,0x00,0x00,0xb2,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x91,0x03,0x00,0x00,
+0x8f,0x03,0x00,0x00,0xb5,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
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+0x92,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x95,0x03,0x00,0x00,0xb3,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x96,0x03,0x00,0x00,
+0x93,0x03,0x00,0x00,0x95,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x98,0x03,0x00,0x00,0x96,0x03,0x00,0x00,
+0xbb,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,
+0x99,0x03,0x00,0x00,0xd6,0x00,0x00,0x00,0x98,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0x9a,0x03,0x00,0x00,
+0x99,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0x3a,0x02,0x00,0x00,
+0x9b,0x03,0x00,0x00,0x7a,0x03,0x00,0x00,0x15,0x00,0x00,0x00,
+0x8d,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x9b,0x03,0x00,0x00,
+0x9a,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9d,0x03,0x00,0x00,0xbb,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x70,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x72,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x5d,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x5d,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9f,0x03,0x00,0x00,0xb5,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x5a,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x5c,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x45,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x45,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa1,0x03,0x00,0x00,
+0xb3,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x42,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x44,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x3d,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x3d,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa3,0x03,0x00,0x00,0xb2,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x3a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x3c,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0xa4,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa4,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q3_k_f32_aligned_len = 14392;
+
+unsigned char matmul_id_q3_k_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xff,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0x5f,0x03,0x00,0x00,0x5b,0x03,0x00,0x00,
+0x5e,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x60,0x03,0x00,0x00,0x58,0x03,0x00,0x00,0x5f,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x62,0x03,0x00,0x00,
+0x60,0x03,0x00,0x00,0x27,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x64,0x03,0x00,0x00,0x62,0x03,0x00,0x00,
+0x92,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x66,0x03,0x00,0x00,0x89,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x68,0x03,0x00,0x00,
+0x66,0x03,0x00,0x00,0x8c,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x6a,0x03,0x00,0x00,0x68,0x03,0x00,0x00,
+0x69,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x6c,0x03,0x00,0x00,0x8a,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6d,0x03,0x00,0x00,
+0x6a,0x03,0x00,0x00,0x6c,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x6f,0x03,0x00,0x00,0x6d,0x03,0x00,0x00,
+0x92,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,
+0x70,0x03,0x00,0x00,0xd6,0x00,0x00,0x00,0x6f,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0x71,0x03,0x00,0x00,
+0x70,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0x37,0x02,0x00,0x00,
+0x72,0x03,0x00,0x00,0x51,0x03,0x00,0x00,0x15,0x00,0x00,0x00,
+0x64,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x72,0x03,0x00,0x00,
+0x71,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x74,0x03,0x00,0x00,0x92,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x47,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x49,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x34,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x34,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x76,0x03,0x00,0x00,0x8c,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x31,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x33,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x1c,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x1c,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x78,0x03,0x00,0x00,
+0x8a,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x19,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x1b,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x14,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x14,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x7a,0x03,0x00,0x00,0x89,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x11,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x13,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x7b,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7b,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q3_k_f32_aligned_fp32_len = 13660;
+
+unsigned char matmul_id_q3_k_f32_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xf8,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x44,0x01,0x00,0x00,
+0xb5,0x01,0x00,0x00,0x12,0x02,0x00,0x00,0x1d,0x02,0x00,0x00,
+0x45,0x03,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3b,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3c,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3e,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x40,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x40,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x40,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x60,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x40,0x01,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x41,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x42,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x42,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x42,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xee,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xef,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1a,0x02,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x1b,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1b,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x1b,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1d,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1d,0x02,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x03,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x43,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x43,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x43,0x03,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x45,0x03,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x45,0x03,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
+0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x00,0x0f,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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+0x23,0x03,0x00,0x00,0x80,0x03,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x32,0x03,0x00,0x00,0x2f,0x03,0x00,0x00,
+0x7a,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0x34,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x32,0x03,0x00,0x00,
+0x33,0x03,0x00,0x00,0x34,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x33,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x27,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x34,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x97,0x00,0x00,0x00,0x38,0x03,0x00,0x00,0x90,0x00,0x00,0x00,
+0x2f,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0x39,0x03,0x00,0x00,0x38,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x3b,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x3b,0x03,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x86,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0x34,0x03,0x00,0x00,0x68,0x03,0x00,0x00,
+0x3c,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x41,0x03,0x00,0x00,0x86,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x3d,0x03,0x00,0x00,0x3c,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x41,0x03,0x00,0x00,
+0x3c,0x03,0x00,0x00,0x3d,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x3c,0x03,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0x47,0x03,0x00,0x00,0x39,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x48,0x03,0x00,0x00,
+0x47,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x4a,0x03,0x00,0x00,0x13,0x00,0x00,0x00,0x49,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4b,0x03,0x00,0x00,
+0x4a,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4c,0x03,0x00,0x00,0x48,0x03,0x00,0x00,0x4b,0x03,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x4e,0x03,0x00,0x00,
+0x39,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x4f,0x03,0x00,0x00,0x4e,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x51,0x03,0x00,0x00,
+0x13,0x00,0x00,0x00,0x50,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x52,0x03,0x00,0x00,0x51,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x53,0x03,0x00,0x00,
+0x4f,0x03,0x00,0x00,0x52,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x54,0x03,0x00,0x00,0x4c,0x03,0x00,0x00,
+0x53,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x56,0x03,0x00,0x00,0x54,0x03,0x00,0x00,0x1b,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x58,0x03,0x00,0x00,
+0x56,0x03,0x00,0x00,0x86,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5a,0x03,0x00,0x00,0x7d,0x03,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5c,0x03,0x00,0x00,0x5a,0x03,0x00,0x00,0x80,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5e,0x03,0x00,0x00,
+0x5c,0x03,0x00,0x00,0x5d,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x60,0x03,0x00,0x00,0x7e,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x61,0x03,0x00,0x00,0x5e,0x03,0x00,0x00,0x60,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x63,0x03,0x00,0x00,
+0x61,0x03,0x00,0x00,0x86,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd8,0x00,0x00,0x00,0x64,0x03,0x00,0x00,0xd5,0x00,0x00,0x00,
+0x63,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0x65,0x03,0x00,0x00,0x64,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0x35,0x02,0x00,0x00,0x66,0x03,0x00,0x00,0x45,0x03,0x00,0x00,
+0x15,0x00,0x00,0x00,0x58,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x66,0x03,0x00,0x00,0x65,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x68,0x03,0x00,0x00,0x86,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x3b,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x3d,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x28,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x28,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6a,0x03,0x00,0x00,
+0x80,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x25,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x27,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x10,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x10,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x6c,0x03,0x00,0x00,0x7e,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x0d,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0f,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x08,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x6e,0x03,0x00,0x00,0x7d,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x05,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x07,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x6f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x6f,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q3_k_f32_fp32_len = 13496;
+
+unsigned char matmul_id_q4_0_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x42,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
+0x32,0x01,0x00,0x00,0x63,0x01,0x00,0x00,0x6e,0x01,0x00,0x00,
+0x9b,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0d,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0d,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0e,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x0f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0f,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x0f,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x11,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x11,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3f,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x40,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6b,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x6c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
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+0xf6,0x00,0x04,0x00,0x93,0x02,0x00,0x00,0x92,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x97,0x02,0x00,0x00,
+0x92,0x02,0x00,0x00,0x93,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x92,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xa0,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,
+0xa0,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,
+0x8f,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,
+0xa5,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,
+0xa9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xac,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0x71,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xae,0x02,0x00,0x00,
+0xac,0x02,0x00,0x00,0xde,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb2,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,
+0xb2,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb7,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,0xb6,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x02,0x00,0x00,
+0xb7,0x02,0x00,0x00,0xde,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd8,0x00,0x00,0x00,0xba,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,
+0xb9,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0xbb,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x86,0x01,0x00,0x00,0xbc,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xae,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xbc,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0xde,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x91,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x93,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7d,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x66,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x66,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc2,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x63,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x65,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x5e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x5e,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x5b,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x5d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc5,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q4_0_f32_len = 11036;
+
+unsigned char matmul_id_q4_0_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x6d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0x33,0x01,0x00,0x00,0x80,0x01,0x00,0x00,0x88,0x01,0x00,0x00,
+0xcb,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x7a,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0e,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0e,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0f,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x10,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x10,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x10,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x12,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x12,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x40,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x41,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x85,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x86,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x86,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x86,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x86,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x86,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x88,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x88,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc8,0x02,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xc9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xc9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xc9,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xcb,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xcb,0x02,0x00,0x00,0x21,0x00,0x00,0x00,
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+0xcc,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x8d,0x02,0x00,0x00,
+0x8e,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x91,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,0x8d,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8c,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x93,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x93,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x06,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,0xf2,0x02,0x00,0x00,
+0x96,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0x06,0x03,0x00,0x00,0x42,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x95,0x02,0x00,0x00,0x96,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x99,0x02,0x00,0x00,
+0x94,0x02,0x00,0x00,0x95,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x94,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x06,0x03,0x00,0x00,0x43,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x83,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,0x46,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa1,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,
+0x05,0x03,0x00,0x00,0x21,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0x89,0x02,0x00,0x00,
+0xa5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa8,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xab,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xab,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x08,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0x94,0x02,0x00,0x00,0xf0,0x02,0x00,0x00,
+0xae,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0xb1,0x02,0x00,0x00,0x08,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xad,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xb1,0x02,0x00,0x00,
+0xac,0x02,0x00,0x00,0xad,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xac,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb5,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0x08,0x03,0x00,0x00,
+0xae,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,
+0xb5,0x02,0x00,0x00,0x02,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xba,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xb8,0x02,0x00,0x00,0xb9,0x02,0x00,0x00,0xba,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xad,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xba,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x98,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,
+0x91,0x00,0x00,0x00,0xb5,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8d,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc1,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xba,0x02,0x00,0x00,
+0xee,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xc3,0x02,0x00,0x00,
+0xc2,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xc7,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xce,0x02,0x00,0x00,0xcd,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xd0,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xd1,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,0xce,0x02,0x00,0x00,
+0xd1,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xd4,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd5,0x02,0x00,0x00,
+0xd4,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xd7,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,
+0xd7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd9,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0xda,0x02,0x00,0x00,
+0xa1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xde,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe0,0x02,0x00,0x00,
+0x05,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe2,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,
+0x08,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe4,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe6,0x02,0x00,0x00,
+0x06,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,
+0xe6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe9,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,0xea,0x02,0x00,0x00,
+0xd6,0x00,0x00,0x00,0xe9,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xd0,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,0xea,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0x8a,0x01,0x00,0x00,0xec,0x02,0x00,0x00,
+0xcb,0x02,0x00,0x00,0x15,0x00,0x00,0x00,0xde,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xec,0x02,0x00,0x00,0xeb,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x02,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xae,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf0,0x02,0x00,0x00,0x08,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xab,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xad,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x96,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x96,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf2,0x02,0x00,0x00,0x06,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x93,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x95,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8e,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x02,0x00,0x00,
+0x05,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8d,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf5,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_q4_0_f32_aligned_len = 11844;
+
+unsigned char matmul_id_q4_0_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x43,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
+0x12,0x01,0x00,0x00,0x33,0x01,0x00,0x00,0x7e,0x01,0x00,0x00,
+0x85,0x01,0x00,0x00,0xa1,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
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+0x6b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x6a,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x73,0x02,0x00,0x00,
+0xdc,0x02,0x00,0x00,0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x74,0x02,0x00,0x00,0x59,0x02,0x00,0x00,
+0x73,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x76,0x02,0x00,0x00,0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x77,0x02,0x00,0x00,
+0x74,0x02,0x00,0x00,0x76,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x7b,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xf9,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x7c,0x02,0x00,0x00,0x5f,0x02,0x00,0x00,0x7b,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7e,0x02,0x00,0x00,
+0x4a,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x7f,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,
+0x7e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x81,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x81,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xde,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0x6a,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,0x84,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0x87,0x02,0x00,0x00,
+0xde,0x02,0x00,0x00,0xc9,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x83,0x02,0x00,0x00,0x84,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x87,0x02,0x00,0x00,0x82,0x02,0x00,0x00,
+0x83,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x82,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8b,0x02,0x00,0x00,
+0x7f,0x02,0x00,0x00,0xde,0x02,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,0x90,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x8e,0x02,0x00,0x00,
+0x8f,0x02,0x00,0x00,0x90,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x83,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x90,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x98,0x00,0x00,0x00,0x94,0x02,0x00,0x00,0x91,0x00,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,
+0x95,0x02,0x00,0x00,0x94,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x97,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x97,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0x90,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,
+0x98,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0x9d,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x99,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x9d,0x02,0x00,0x00,
+0x98,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x98,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xa3,0x02,0x00,0x00,0x95,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa8,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x95,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xab,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xad,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xae,0x02,0x00,0x00,0xad,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,
+0xab,0x02,0x00,0x00,0xae,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,
+0xaf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb2,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,0x77,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,
+0xb2,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xb6,0x02,0x00,0x00,0xde,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xb9,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xbd,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xbd,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd9,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xbf,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,
+0xc1,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x87,0x01,0x00,0x00,0xc2,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xc2,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x97,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x99,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x84,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x84,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,
+0xde,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x81,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x83,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x6c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc8,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x69,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x64,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x64,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xca,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x61,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x63,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xcb,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q4_0_f32_aligned_fp32_len = 11096;
+
+unsigned char matmul_id_q4_0_f32_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x3b,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x11,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x61,0x01,0x00,0x00,
+0x6c,0x01,0x00,0x00,0x94,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
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+0x82,0x02,0x00,0x00,0x83,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x82,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x76,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x83,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x97,0x00,0x00,0x00,0x87,0x02,0x00,0x00,0x90,0x00,0x00,0x00,
+0x7e,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0x88,0x02,0x00,0x00,0x87,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8a,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0x83,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,
+0x8b,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x90,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x8c,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x90,0x02,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8b,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0x96,0x02,0x00,0x00,0x88,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x97,0x02,0x00,0x00,
+0x96,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0x98,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x99,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9b,0x02,0x00,0x00,0x97,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,
+0x88,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0x9e,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa3,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa5,0x02,0x00,0x00,0xa3,0x02,0x00,0x00,0x6a,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xa5,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,0xce,0x02,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xab,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xad,0x02,0x00,0x00,
+0xab,0x02,0x00,0x00,0xac,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb0,0x02,0x00,0x00,0xad,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,
+0xb0,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd8,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,
+0xb2,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0xb4,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x84,0x01,0x00,0x00,0xb5,0x02,0x00,0x00,0x94,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xb5,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x8a,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8c,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x77,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x77,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x02,0x00,0x00,
+0xd1,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x74,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x76,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xbb,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x57,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x57,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbd,0x02,0x00,0x00,0xce,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x54,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x56,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xbe,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q4_0_f32_fp32_len = 10916;
+
+unsigned char matmul_id_q4_1_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x43,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
+0x37,0x01,0x00,0x00,0x68,0x01,0x00,0x00,0x73,0x01,0x00,0x00,
+0xa0,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0d,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0d,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x0d,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0e,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x0f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x0f,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x11,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x11,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x45,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x70,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x71,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x71,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x71,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x73,0x01,0x00,0x00,
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+0xe3,0x02,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x98,0x02,0x00,0x00,0x97,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x9c,0x02,0x00,0x00,0x97,0x02,0x00,0x00,
+0x98,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x97,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0x94,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xa3,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0xa5,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,0x94,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xaa,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xab,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xad,0x02,0x00,0x00,0xac,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xae,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0xad,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xaf,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb1,0x02,0x00,0x00,
+0xaf,0x02,0x00,0x00,0x76,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,0xb1,0x02,0x00,0x00,
+0xe3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb5,0x02,0x00,0x00,0xda,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,
+0xb5,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb9,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,
+0xb8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xbb,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,
+0xb9,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,
+0xe3,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0xbf,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,
+0xbf,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x8b,0x01,0x00,0x00,
+0xc1,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0xb3,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xc1,0x02,0x00,0x00,
+0xc0,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc3,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x96,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x98,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x83,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x83,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc5,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x80,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x82,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x6b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x6b,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,
+0xdb,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x68,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x6a,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x63,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x63,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc9,0x02,0x00,0x00,0xda,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x60,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x62,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xca,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xca,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q4_1_f32_len = 11104;
+
+unsigned char matmul_id_q4_1_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x6e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0x38,0x01,0x00,0x00,0x85,0x01,0x00,0x00,0x8d,0x01,0x00,0x00,
+0xd0,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x7a,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0e,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0e,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x0e,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0f,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x10,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x10,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x10,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x12,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x12,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x45,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x46,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x8a,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x8b,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x8b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x8b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x8b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x8b,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8d,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x8d,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xcd,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xce,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xce,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xce,0x02,0x00,0x00,
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+0x87,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8d,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,
+0xa4,0x00,0x00,0x00,0x8d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x90,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x90,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x0a,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0xf9,0x02,0x00,0x00,
+0x93,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0x96,0x02,0x00,0x00,0x0a,0x03,0x00,0x00,0xcc,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x92,0x02,0x00,0x00,0x93,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x96,0x02,0x00,0x00,
+0x91,0x02,0x00,0x00,0x92,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x91,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x98,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x98,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x0b,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0x91,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x0b,0x03,0x00,0x00,0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x9a,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x9e,0x02,0x00,0x00,0x99,0x02,0x00,0x00,
+0x9a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x99,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0x0b,0x03,0x00,0x00,0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa3,0x02,0x00,0x00,0x88,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa5,0x02,0x00,0x00,0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0xa5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,0x0a,0x03,0x00,0x00,
+0x26,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xab,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xad,0x02,0x00,0x00,
+0x4a,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xae,0x02,0x00,0x00,0xab,0x02,0x00,0x00,
+0xad,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb0,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb0,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0xf5,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,
+0x0d,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xb2,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xb6,0x02,0x00,0x00,0xb1,0x02,0x00,0x00,
+0xb2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb1,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,
+0xae,0x02,0x00,0x00,0x0d,0x03,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xbd,0x02,0x00,0x00,0xba,0x02,0x00,0x00,
+0x07,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0xbf,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xbd,0x02,0x00,0x00,
+0xbe,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xbe,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbf,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x98,0x00,0x00,0x00,0xc3,0x02,0x00,0x00,0x91,0x00,0x00,0x00,
+0xba,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,
+0xc4,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc6,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x13,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,0xf3,0x02,0x00,0x00,
+0xc7,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0xcc,0x02,0x00,0x00,0x13,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xc8,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xcc,0x02,0x00,0x00,
+0xc7,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc7,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xd2,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xd5,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd7,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,
+0xc4,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xde,0x02,0x00,0x00,
+0xda,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,
+0xde,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe1,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,
+0xe1,0x02,0x00,0x00,0x13,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,0x0a,0x03,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe7,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe9,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,0x0b,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xec,0x02,0x00,0x00,0xe9,0x02,0x00,0x00,0xeb,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x02,0x00,0x00,
+0xec,0x02,0x00,0x00,0x13,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd9,0x00,0x00,0x00,0xef,0x02,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xee,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,
+0xf0,0x02,0x00,0x00,0xef,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x8f,0x01,0x00,0x00,0xf1,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xf1,0x02,0x00,0x00,0xf0,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf3,0x02,0x00,0x00,0x13,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc6,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x0d,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb2,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf7,0x02,0x00,0x00,0x0b,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x98,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x93,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x93,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf9,0x02,0x00,0x00,0x0a,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x90,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x92,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xfa,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xfa,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q4_1_f32_aligned_len = 11912;
+
+unsigned char matmul_id_q4_1_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x44,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
+0x12,0x01,0x00,0x00,0x38,0x01,0x00,0x00,0x83,0x01,0x00,0x00,
+0x8a,0x01,0x00,0x00,0xa6,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
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+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0x6c,0x02,0x00,0x00,
+0xe0,0x02,0x00,0x00,0xcc,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x68,0x02,0x00,0x00,0x69,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x6c,0x02,0x00,0x00,0x67,0x02,0x00,0x00,
+0x68,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x67,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x6e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6e,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xe1,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0x67,0x02,0x00,0x00,
+0xcd,0x02,0x00,0x00,0x71,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0x74,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x70,0x02,0x00,0x00,
+0x71,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x74,0x02,0x00,0x00,0x6f,0x02,0x00,0x00,0x70,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x6f,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x78,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x79,0x02,0x00,0x00,0x5e,0x02,0x00,0x00,0x78,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7b,0x02,0x00,0x00,
+0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x7c,0x02,0x00,0x00,0x79,0x02,0x00,0x00,
+0x7b,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x80,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,0xfe,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x81,0x02,0x00,0x00,
+0x64,0x02,0x00,0x00,0x80,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x83,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x84,0x02,0x00,0x00,0x81,0x02,0x00,0x00,0x83,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x86,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x86,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xe3,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0x6f,0x02,0x00,0x00,
+0xcb,0x02,0x00,0x00,0x89,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,
+0xc9,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x88,0x02,0x00,0x00,
+0x89,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x8c,0x02,0x00,0x00,0x87,0x02,0x00,0x00,0x88,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x87,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x90,0x02,0x00,0x00,0x84,0x02,0x00,0x00,
+0xe3,0x02,0x00,0x00,0xae,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0x93,0x02,0x00,0x00,0x90,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x95,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x93,0x02,0x00,0x00,0x94,0x02,0x00,0x00,
+0x95,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x94,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x88,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x95,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x98,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0x91,0x00,0x00,0x00,0x90,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x99,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x9c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x9c,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xe9,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0x95,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0xe9,0x02,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x9e,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xa2,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
+0x9e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x9d,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,
+0x9a,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xab,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0xab,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xad,0x02,0x00,0x00,
+0xa9,0x02,0x00,0x00,0xac,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xb0,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xb1,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xb3,0x02,0x00,0x00,0xb2,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,
+0xb3,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb5,0x02,0x00,0x00,0xad,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,
+0xb5,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb9,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,
+0xe9,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xbb,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbd,0x02,0x00,0x00,
+0xbb,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,0xbd,0x02,0x00,0x00,
+0xbe,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc1,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc2,0x02,0x00,0x00,
+0xbf,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,
+0xe9,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,
+0xc5,0x02,0x00,0x00,0xd6,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,
+0xc5,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x8c,0x01,0x00,0x00,
+0xc7,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0xb9,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xc7,0x02,0x00,0x00,
+0xc6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc9,0x02,0x00,0x00,0xe9,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x89,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x89,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcb,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x86,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x88,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x71,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x71,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,
+0xe1,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x6e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x70,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x69,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x69,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x66,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x68,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xd0,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd0,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q4_1_f32_aligned_fp32_len = 11164;
+
+unsigned char matmul_id_q4_1_f32_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x3c,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x11,0x01,0x00,0x00,0x37,0x01,0x00,0x00,0x66,0x01,0x00,0x00,
+0x71,0x01,0x00,0x00,0x99,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
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+0x6e,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x73,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0xf1,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x74,0x02,0x00,0x00,
+0x57,0x02,0x00,0x00,0x73,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x76,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x77,0x02,0x00,0x00,0x74,0x02,0x00,0x00,0x76,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x79,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x79,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xd6,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0x62,0x02,0x00,0x00,
+0xbe,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x7f,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x7b,0x02,0x00,0x00,
+0x7c,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x7f,0x02,0x00,0x00,0x7a,0x02,0x00,0x00,0x7b,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x83,0x02,0x00,0x00,0x77,0x02,0x00,0x00,
+0xd6,0x02,0x00,0x00,0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x86,0x02,0x00,0x00,0x83,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x88,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x86,0x02,0x00,0x00,0x87,0x02,0x00,0x00,
+0x88,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x87,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x7b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x88,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,
+0x8c,0x02,0x00,0x00,0x90,0x00,0x00,0x00,0x83,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,0x8d,0x02,0x00,0x00,
+0x8c,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0x88,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,0x90,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x95,0x02,0x00,0x00,
+0xdc,0x02,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x91,0x02,0x00,0x00,0x90,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x95,0x02,0x00,0x00,0x90,0x02,0x00,0x00,
+0x91,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x90,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x8d,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,
+0x9c,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0x8d,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xa3,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xa4,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xa5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,0xa3,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa8,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,
+0xa8,0x02,0x00,0x00,0x6f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0xdc,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xae,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,
+0xae,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,
+0xb1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb4,0x02,0x00,0x00,0xd4,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb5,0x02,0x00,0x00,
+0xb2,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,0xb5,0x02,0x00,0x00,
+0xdc,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0xb9,0x02,0x00,0x00,
+0xb8,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x89,0x01,0x00,0x00,
+0xba,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0xac,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xba,0x02,0x00,0x00,
+0xb9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xbc,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x91,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x79,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x64,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x64,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,
+0xd4,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x61,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x63,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc2,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x59,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q4_1_f32_fp32_len = 10984;
+
+unsigned char matmul_id_q4_k_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xb5,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x90,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0x83,0x01,0x00,0x00,
+0xcf,0x01,0x00,0x00,0xda,0x01,0x00,0x00,0x07,0x03,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x25,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
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+0x12,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x14,0x03,0x00,0x00,0x13,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x15,0x03,0x00,0x00,0x11,0x03,0x00,0x00,
+0x14,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x16,0x03,0x00,0x00,0x0e,0x03,0x00,0x00,0x15,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x18,0x03,0x00,0x00,
+0x16,0x03,0x00,0x00,0xdd,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x03,0x00,0x00,0x18,0x03,0x00,0x00,
+0x4a,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1c,0x03,0x00,0x00,0x41,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1e,0x03,0x00,0x00,
+0x1c,0x03,0x00,0x00,0x44,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x20,0x03,0x00,0x00,0x1e,0x03,0x00,0x00,
+0x1f,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x22,0x03,0x00,0x00,0x42,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x23,0x03,0x00,0x00,
+0x20,0x03,0x00,0x00,0x22,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x25,0x03,0x00,0x00,0x23,0x03,0x00,0x00,
+0x4a,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0x26,0x03,0x00,0x00,0xd5,0x00,0x00,0x00,0x25,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0x27,0x03,0x00,0x00,
+0x26,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0xf2,0x01,0x00,0x00,
+0x28,0x03,0x00,0x00,0x07,0x03,0x00,0x00,0x15,0x00,0x00,0x00,
+0x1a,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x28,0x03,0x00,0x00,
+0x27,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x2a,0x03,0x00,0x00,0x4a,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xfd,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xff,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xea,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xea,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x2c,0x03,0x00,0x00,0x44,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xd2,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2e,0x03,0x00,0x00,
+0x42,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xd1,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xca,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xca,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x30,0x03,0x00,0x00,0x41,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x31,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x31,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q4_k_f32_len = 12544;
+
+unsigned char matmul_id_q4_k_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xdf,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,0x84,0x01,0x00,0x00,
+0xec,0x01,0x00,0x00,0xf4,0x01,0x00,0x00,0x36,0x03,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x7a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x26,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x27,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x28,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x28,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x28,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x29,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x2a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x2a,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2c,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xac,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xad,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xf1,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xf2,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xf2,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xf2,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xf2,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xf2,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xf4,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xf4,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x33,0x03,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x34,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x34,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x34,0x03,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x36,0x03,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x36,0x03,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0f,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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+0xf8,0x00,0x02,0x00,0x2c,0x03,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x79,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0x25,0x03,0x00,0x00,0x59,0x03,0x00,0x00,0x2d,0x03,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0x32,0x03,0x00,0x00,
+0x79,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x2e,0x03,0x00,0x00,0x2d,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x32,0x03,0x00,0x00,0x2d,0x03,0x00,0x00,
+0x2e,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x2d,0x03,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0x38,0x03,0x00,0x00,
+0x2a,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x39,0x03,0x00,0x00,0x38,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x3b,0x03,0x00,0x00,
+0x13,0x00,0x00,0x00,0x3a,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x3c,0x03,0x00,0x00,0x3b,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3d,0x03,0x00,0x00,
+0x39,0x03,0x00,0x00,0x3c,0x03,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0x3f,0x03,0x00,0x00,0x2a,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x40,0x03,0x00,0x00,0x3f,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0x42,0x03,0x00,0x00,0x13,0x00,0x00,0x00,
+0x41,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x43,0x03,0x00,0x00,0x42,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x44,0x03,0x00,0x00,0x40,0x03,0x00,0x00,
+0x43,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x45,0x03,0x00,0x00,0x3d,0x03,0x00,0x00,0x44,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x47,0x03,0x00,0x00,
+0x45,0x03,0x00,0x00,0x0c,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x49,0x03,0x00,0x00,0x47,0x03,0x00,0x00,
+0x79,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4b,0x03,0x00,0x00,0x70,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4d,0x03,0x00,0x00,
+0x4b,0x03,0x00,0x00,0x73,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x4f,0x03,0x00,0x00,0x4d,0x03,0x00,0x00,
+0x4e,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x51,0x03,0x00,0x00,0x71,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x52,0x03,0x00,0x00,
+0x4f,0x03,0x00,0x00,0x51,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x54,0x03,0x00,0x00,0x52,0x03,0x00,0x00,
+0x79,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,
+0x55,0x03,0x00,0x00,0xd6,0x00,0x00,0x00,0x54,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0x56,0x03,0x00,0x00,
+0x55,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0xf6,0x01,0x00,0x00,
+0x57,0x03,0x00,0x00,0x36,0x03,0x00,0x00,0x15,0x00,0x00,0x00,
+0x49,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x57,0x03,0x00,0x00,
+0x56,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x59,0x03,0x00,0x00,0x79,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x2c,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x2e,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x19,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x19,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5b,0x03,0x00,0x00,0x73,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x16,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x18,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x01,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x01,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5d,0x03,0x00,0x00,
+0x71,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xfe,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x00,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5f,0x03,0x00,0x00,0x70,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x60,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x60,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q4_k_f32_aligned_len = 13336;
+
+unsigned char matmul_id_q4_k_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xb5,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
+0x83,0x01,0x00,0x00,0xe9,0x01,0x00,0x00,0xf0,0x01,0x00,0x00,
+0x0c,0x03,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x7a,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x26,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x27,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x28,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x28,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x28,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x29,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x2a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x2a,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2c,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa9,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xaa,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xed,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xee,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xee,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xee,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xf0,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xf0,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x09,0x03,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x0a,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
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+0x3e,0x00,0x03,0x00,0x2d,0x03,0x00,0x00,0x2c,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2f,0x03,0x00,0x00,
+0x4f,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x02,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x04,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xef,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xef,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x31,0x03,0x00,0x00,0x49,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xec,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xee,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xd7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x33,0x03,0x00,0x00,0x47,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd6,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xcf,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x35,0x03,0x00,0x00,
+0x46,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcc,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xce,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x36,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x36,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_q4_k_f32_aligned_fp32_len = 12588;
+
+unsigned char matmul_id_q4_k_f32_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xae,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,
+0x83,0x01,0x00,0x00,0xcd,0x01,0x00,0x00,0xd8,0x01,0x00,0x00,
+0x00,0x03,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x25,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x26,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x27,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x27,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x27,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x28,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x29,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x29,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2b,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2b,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa9,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xaa,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd5,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xd6,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xd6,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xd6,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xd8,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xd8,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xfd,0x02,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xfe,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xfe,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xfe,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x00,0x03,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x00,0x03,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
+0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x00,0x0f,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x12,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x14,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x15,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x31,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x36,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x43,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,0x37,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xb4,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbd,0x02,0x00,0x00,
+0x3b,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0xa3,0x00,0x00,0x00,
+0xbd,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xc0,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc0,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x3a,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0x29,0x03,0x00,0x00,0xc3,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,
+0x3a,0x03,0x00,0x00,0xcb,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xc2,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xc6,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,
+0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc1,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc8,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x3b,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,
+0x27,0x03,0x00,0x00,0xcb,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0xce,0x02,0x00,0x00,0x3b,0x03,0x00,0x00,
+0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xca,0x02,0x00,0x00,
+0xcb,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xce,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,0xca,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc9,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,0x3b,0x03,0x00,0x00,
+0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd5,0x02,0x00,0x00,
+0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,
+0xd5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0x3a,0x03,0x00,0x00,0x58,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xbe,0x02,0x00,0x00,0xda,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xde,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe0,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x3d,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,
+0x25,0x03,0x00,0x00,0xe3,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0xe6,0x02,0x00,0x00,0x3d,0x03,0x00,0x00,
+0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xe2,0x02,0x00,0x00,
+0xe3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xe6,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0xde,0x02,0x00,0x00,
+0x3d,0x03,0x00,0x00,0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xed,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0x37,0x03,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xef,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xed,0x02,0x00,0x00,0xee,0x02,0x00,0x00,
+0xef,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xee,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xef,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,
+0xf3,0x02,0x00,0x00,0x90,0x00,0x00,0x00,0xea,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,0xf4,0x02,0x00,0x00,
+0xf3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x43,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xef,0x02,0x00,0x00,0x23,0x03,0x00,0x00,0xf7,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,
+0x43,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xf8,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xfc,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,
+0xf8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xf7,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x02,0x03,0x00,0x00,
+0xf4,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x03,0x03,0x00,0x00,0x02,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x05,0x03,0x00,0x00,
+0x13,0x00,0x00,0x00,0x04,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x06,0x03,0x00,0x00,0x05,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x07,0x03,0x00,0x00,
+0x03,0x03,0x00,0x00,0x06,0x03,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0x09,0x03,0x00,0x00,0xf4,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x09,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,0x13,0x00,0x00,0x00,
+0x0b,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x0d,0x03,0x00,0x00,0x0c,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0e,0x03,0x00,0x00,0x0a,0x03,0x00,0x00,
+0x0d,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0f,0x03,0x00,0x00,0x07,0x03,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x11,0x03,0x00,0x00,
+0x0f,0x03,0x00,0x00,0xd6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x13,0x03,0x00,0x00,0x11,0x03,0x00,0x00,
+0x43,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x15,0x03,0x00,0x00,0x3a,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x17,0x03,0x00,0x00,
+0x15,0x03,0x00,0x00,0x3d,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x19,0x03,0x00,0x00,0x17,0x03,0x00,0x00,
+0x18,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x03,0x00,0x00,0x3b,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1c,0x03,0x00,0x00,
+0x19,0x03,0x00,0x00,0x1b,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1e,0x03,0x00,0x00,0x1c,0x03,0x00,0x00,
+0x43,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0x1f,0x03,0x00,0x00,0xd5,0x00,0x00,0x00,0x1e,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0x20,0x03,0x00,0x00,
+0x1f,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0xf0,0x01,0x00,0x00,
+0x21,0x03,0x00,0x00,0x00,0x03,0x00,0x00,0x15,0x00,0x00,0x00,
+0x13,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x21,0x03,0x00,0x00,
+0x20,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x23,0x03,0x00,0x00,0x43,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xe3,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe3,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x25,0x03,0x00,0x00,0x3d,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe0,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe2,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xcb,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x27,0x03,0x00,0x00,
+0x3b,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xca,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc3,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x29,0x03,0x00,0x00,0x3a,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc2,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x2a,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x2a,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q4_k_f32_fp32_len = 12424;
+
+unsigned char matmul_id_q5_0_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x6c,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0x5a,0x01,0x00,0x00,0x8b,0x01,0x00,0x00,0x96,0x01,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
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+0x6b,0x02,0x00,0x00,0x27,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x45,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x47,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x40,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x40,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x6d,0x02,0x00,0x00,0x25,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x3d,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x3f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x38,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x38,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6f,0x02,0x00,0x00,
+0x23,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x35,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x37,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x30,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x30,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x71,0x02,0x00,0x00,0x1f,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x2d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x2f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xcc,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xcc,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x73,0x02,0x00,0x00,0x19,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc9,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xcb,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe0,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x75,0x02,0x00,0x00,0xfe,0x02,0x00,0x00,0x4e,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xdf,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x7a,0x02,0x00,0x00,0x37,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7b,0x02,0x00,0x00,
+0xb4,0x00,0x00,0x00,0x7a,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x80,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xc5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x81,0x02,0x00,0x00,0xa3,0x00,0x00,0x00,0x80,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x83,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x83,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xff,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0xec,0x02,0x00,0x00,0x86,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x89,0x02,0x00,0x00,0xff,0x02,0x00,0x00,
+0xcb,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x85,0x02,0x00,0x00,
+0x86,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x89,0x02,0x00,0x00,0x84,0x02,0x00,0x00,0x85,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x84,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8b,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x00,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0x84,0x02,0x00,0x00,0xea,0x02,0x00,0x00,
+0x8e,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x91,0x02,0x00,0x00,0x00,0x03,0x00,0x00,0x42,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x8d,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x91,0x02,0x00,0x00,
+0x8c,0x02,0x00,0x00,0x8d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8c,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x95,0x02,0x00,0x00,0x00,0x03,0x00,0x00,0x43,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x96,0x02,0x00,0x00,
+0x7b,0x02,0x00,0x00,0x95,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x98,0x02,0x00,0x00,0x46,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0x96,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,
+0xff,0x02,0x00,0x00,0x19,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,0x81,0x02,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa0,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,
+0x9e,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa3,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x02,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xa9,0x02,0x00,0x00,0x02,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xa5,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xa9,0x02,0x00,0x00,
+0xa4,0x02,0x00,0x00,0xa5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xad,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x02,0x03,0x00,0x00,
+0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,
+0xad,0x02,0x00,0x00,0xfc,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xb2,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xb0,0x02,0x00,0x00,0xb1,0x02,0x00,0x00,0xb2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb2,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,
+0x90,0x00,0x00,0x00,0xad,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,0xb6,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb9,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x08,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,
+0xe6,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,0x08,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xbb,0x02,0x00,0x00,
+0xba,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xbf,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xba,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0xc5,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xc6,0x02,0x00,0x00,0xc5,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xc8,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xc7,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xc9,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xca,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,
+0xc9,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0xcc,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,
+0xcc,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xce,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd0,0x02,0x00,0x00,
+0xcf,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd1,0x02,0x00,0x00,0xcd,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,
+0xca,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,
+0x99,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd6,0x02,0x00,0x00,0xd4,0x02,0x00,0x00,0x08,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,
+0xff,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,
+0x02,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdc,0x02,0x00,0x00,0xda,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xde,0x02,0x00,0x00,
+0x00,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,
+0xde,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe1,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,0x08,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,0xe2,0x02,0x00,0x00,
+0xd5,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xcf,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0xae,0x01,0x00,0x00,0xe4,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x15,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xe4,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe6,0x02,0x00,0x00,
+0x08,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe8,0x02,0x00,0x00,0x02,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa5,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x8e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8e,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0x00,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x8b,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x86,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x86,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x02,0x00,0x00,
+0xff,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x83,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x85,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xed,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xed,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_q5_0_f32_len = 11532;
+
+unsigned char matmul_id_q5_0_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x97,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
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+0xd3,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x32,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,
+0x18,0x03,0x00,0x00,0xd6,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,0x32,0x03,0x00,0x00,
+0xc9,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xd5,0x02,0x00,0x00,
+0xd6,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xd9,0x02,0x00,0x00,0xd4,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,
+0x32,0x03,0x00,0x00,0xae,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0xe0,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,0x2c,0x03,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xe2,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe0,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0xe2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe1,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe2,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x98,0x00,0x00,0x00,
+0xe6,0x02,0x00,0x00,0x91,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,
+0xe6,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x38,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xe2,0x02,0x00,0x00,0x16,0x03,0x00,0x00,0xea,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xef,0x02,0x00,0x00,
+0x38,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xeb,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xef,0x02,0x00,0x00,0xea,0x02,0x00,0x00,
+0xeb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xea,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xf6,0x02,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xf8,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xf7,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xf9,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,
+0xf6,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xfd,0x02,0x00,0x00,0xfc,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xff,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xfe,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x00,0x03,0x00,0x00,0xff,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x01,0x03,0x00,0x00,0xfd,0x02,0x00,0x00,
+0x00,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x02,0x03,0x00,0x00,0xfa,0x02,0x00,0x00,0x01,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x03,0x00,0x00,
+0x02,0x03,0x00,0x00,0xc9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x06,0x03,0x00,0x00,0x04,0x03,0x00,0x00,
+0x38,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x08,0x03,0x00,0x00,0x2f,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0a,0x03,0x00,0x00,
+0x08,0x03,0x00,0x00,0x32,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,0x0a,0x03,0x00,0x00,
+0x0b,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x30,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,
+0x0c,0x03,0x00,0x00,0x0e,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x11,0x03,0x00,0x00,0x0f,0x03,0x00,0x00,
+0x38,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,
+0x12,0x03,0x00,0x00,0xd6,0x00,0x00,0x00,0x11,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0x13,0x03,0x00,0x00,
+0x12,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0xb2,0x01,0x00,0x00,
+0x14,0x03,0x00,0x00,0xf3,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0x06,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x14,0x03,0x00,0x00,
+0x13,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x16,0x03,0x00,0x00,0x38,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xeb,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xd6,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x18,0x03,0x00,0x00,0x32,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd3,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd5,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xbe,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1a,0x03,0x00,0x00,
+0x30,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xbb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1c,0x03,0x00,0x00,0x2f,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb5,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x1d,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x1d,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q5_0_f32_aligned_len = 12340;
+
+unsigned char matmul_id_q5_0_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x6d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
+0x13,0x01,0x00,0x00,0x5b,0x01,0x00,0x00,0xa6,0x01,0x00,0x00,
+0xad,0x01,0x00,0x00,0xc9,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x7a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0e,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x0f,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0f,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x10,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x16,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x11,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
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+0x89,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x05,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0xf2,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0x8f,0x02,0x00,0x00,0x05,0x03,0x00,0x00,
+0xcc,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x8b,0x02,0x00,0x00,
+0x8c,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x8f,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x91,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x91,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x06,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,0xf0,0x02,0x00,0x00,
+0x94,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0x97,0x02,0x00,0x00,0x06,0x03,0x00,0x00,0x42,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x93,0x02,0x00,0x00,0x94,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x97,0x02,0x00,0x00,
+0x92,0x02,0x00,0x00,0x93,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x92,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9b,0x02,0x00,0x00,0x06,0x03,0x00,0x00,0x43,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,
+0x81,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,0x46,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9f,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa3,0x02,0x00,0x00,
+0x05,0x03,0x00,0x00,0x21,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0x87,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xa4,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x08,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0x92,0x02,0x00,0x00,0xee,0x02,0x00,0x00,
+0xac,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0xaf,0x02,0x00,0x00,0x08,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xab,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xaf,0x02,0x00,0x00,
+0xaa,0x02,0x00,0x00,0xab,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xaa,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb3,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,0x08,0x03,0x00,0x00,
+0xae,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,
+0xb3,0x02,0x00,0x00,0x02,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xb8,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xb6,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xab,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb8,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x98,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,
+0x91,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8d,0x00,0x00,0x00,0xbd,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xbf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xbf,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,
+0xec,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xc5,0x02,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xc1,0x02,0x00,0x00,
+0xc0,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xc5,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc0,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0xcb,0x02,0x00,0x00,0xbd,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xcc,0x02,0x00,0x00,0xcb,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xce,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xcd,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xce,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd0,0x02,0x00,0x00,0xcc,0x02,0x00,0x00,
+0xcf,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xd2,0x02,0x00,0x00,0xbd,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xd5,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd7,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,
+0xd0,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,
+0x9f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdc,0x02,0x00,0x00,0xda,0x02,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xde,0x02,0x00,0x00,
+0x05,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe0,0x02,0x00,0x00,0xde,0x02,0x00,0x00,
+0x08,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe2,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
+0x06,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,
+0xe4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe7,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,0xe8,0x02,0x00,0x00,
+0xd6,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xd0,0x00,0x00,0x00,0xe9,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0xaf,0x01,0x00,0x00,0xea,0x02,0x00,0x00,
+0xc9,0x02,0x00,0x00,0x15,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xea,0x02,0x00,0x00,0xe9,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x02,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xbf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc1,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xac,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xee,0x02,0x00,0x00,0x08,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xab,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x94,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x94,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf0,0x02,0x00,0x00,0x06,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x91,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x93,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8c,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf2,0x02,0x00,0x00,
+0x05,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x89,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8b,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf3,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_q5_0_f32_aligned_fp32_len = 11592;
+
+unsigned char matmul_id_q5_0_f32_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x65,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x12,0x01,0x00,0x00,0x5a,0x01,0x00,0x00,0x89,0x01,0x00,0x00,
+0x94,0x01,0x00,0x00,0xbc,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0x6c,0x02,0x00,0x00,0x12,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc5,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc7,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe0,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x6e,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,0x4e,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xdf,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x73,0x02,0x00,0x00,0x37,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x74,0x02,0x00,0x00,
+0xb4,0x00,0x00,0x00,0x73,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x79,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xc5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x7a,0x02,0x00,0x00,0xa3,0x00,0x00,0x00,0x79,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7c,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xf8,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0xe5,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x82,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,
+0xcb,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x7e,0x02,0x00,0x00,
+0x7f,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x82,0x02,0x00,0x00,0x7d,0x02,0x00,0x00,0x7e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x84,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x84,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xf9,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0x7d,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,
+0x87,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x8a,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,0x42,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x86,0x02,0x00,0x00,0x87,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x8a,0x02,0x00,0x00,
+0x85,0x02,0x00,0x00,0x86,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x85,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8e,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,0x43,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8f,0x02,0x00,0x00,
+0x74,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x91,0x02,0x00,0x00,0x46,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x92,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0x91,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x96,0x02,0x00,0x00,
+0xf8,0x02,0x00,0x00,0x14,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x97,0x02,0x00,0x00,0x7a,0x02,0x00,0x00,
+0x96,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x97,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x9c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x9c,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xfb,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0x85,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x9f,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xa2,0x02,0x00,0x00,0xfb,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x9e,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xa2,0x02,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9d,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,0xfb,0x02,0x00,0x00,
+0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xf5,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xab,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xa9,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0xab,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xaa,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x9e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xab,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,
+0x90,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb2,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x01,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xab,0x02,0x00,0x00,
+0xdf,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,0x01,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xb4,0x02,0x00,0x00,
+0xb3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xb8,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xbf,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xc0,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xc2,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc3,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xc2,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0xc5,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,
+0xc5,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xc8,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,
+0xc8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xca,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcb,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0xca,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,0xcb,0x02,0x00,0x00,
+0x92,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xcd,0x02,0x00,0x00,0x01,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,
+0xf8,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,
+0xfb,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd5,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0xd4,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,
+0xf9,0x02,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,
+0xd7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,0x01,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xd5,0x00,0x00,0x00,0xda,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xcf,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0xac,0x01,0x00,0x00,0xdd,0x02,0x00,0x00,
+0xbc,0x02,0x00,0x00,0x15,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xdd,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0x01,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe1,0x02,0x00,0x00,0xfb,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x87,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x87,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x84,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x86,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,
+0xf8,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe6,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_q5_0_f32_fp32_len = 11412;
+
+unsigned char matmul_id_q5_1_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x64,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
+0x56,0x01,0x00,0x00,0x87,0x01,0x00,0x00,0x92,0x01,0x00,0x00,
+0xbf,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0x67,0x02,0x00,0x00,0x23,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x41,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x43,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x3c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x3c,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x69,0x02,0x00,0x00,
+0x21,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x39,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x3b,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x34,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x34,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x6b,0x02,0x00,0x00,0x1f,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x31,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x33,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x2c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x2c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x6d,0x02,0x00,0x00,0x1b,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x29,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x2b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc8,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xc8,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6f,0x02,0x00,0x00,
+0x15,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc5,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xc7,0x01,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x0c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xa0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x71,0x02,0x00,0x00,0xfa,0x02,0x00,0x00,
+0x4e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xdf,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x76,0x02,0x00,0x00,0x37,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x77,0x02,0x00,0x00,0xb4,0x00,0x00,0x00,0x76,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7c,0x02,0x00,0x00,
+0x3b,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x7d,0x02,0x00,0x00,0xa3,0x00,0x00,0x00,
+0x7c,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xfb,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0xe8,0x02,0x00,0x00,0x82,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x85,0x02,0x00,0x00,
+0xfb,0x02,0x00,0x00,0xcb,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x81,0x02,0x00,0x00,0x82,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x85,0x02,0x00,0x00,0x80,0x02,0x00,0x00,
+0x81,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x80,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x87,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x87,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xfc,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0x80,0x02,0x00,0x00,
+0xe6,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x8d,0x02,0x00,0x00,0xfc,0x02,0x00,0x00,
+0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x89,0x02,0x00,0x00,
+0x8a,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x8d,0x02,0x00,0x00,0x88,0x02,0x00,0x00,0x89,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x88,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x91,0x02,0x00,0x00,0xfc,0x02,0x00,0x00,
+0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x92,0x02,0x00,0x00,0x77,0x02,0x00,0x00,0x91,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x94,0x02,0x00,0x00,
+0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x95,0x02,0x00,0x00,0x92,0x02,0x00,0x00,
+0x94,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0xfb,0x02,0x00,0x00,0x15,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x7d,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9f,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xfe,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0x88,0x02,0x00,0x00,
+0xe4,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,0xfe,0x02,0x00,0x00,
+0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xa1,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xa5,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa0,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
+0xfe,0x02,0x00,0x00,0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xac,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xae,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xac,0x02,0x00,0x00,0xad,0x02,0x00,0x00,
+0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xad,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xae,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,
+0xb2,0x02,0x00,0x00,0x90,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,
+0xb2,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x04,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xae,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,0xb6,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,
+0x04,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xb7,0x02,0x00,0x00,0xb6,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xbb,0x02,0x00,0x00,0xb6,0x02,0x00,0x00,
+0xb7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb6,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,
+0xb3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xc2,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xc3,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xc5,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,
+0xc2,0x02,0x00,0x00,0xc5,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0xc8,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xc9,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xcb,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xca,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xcc,0x02,0x00,0x00,0xcb,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,
+0xcc,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xce,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,0xcd,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd0,0x02,0x00,0x00,
+0xce,0x02,0x00,0x00,0x95,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,
+0x04,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd4,0x02,0x00,0x00,0xfb,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd4,0x02,0x00,0x00,0xfe,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0xfc,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0xda,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,
+0x04,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0xde,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0xde,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0xaa,0x01,0x00,0x00,
+0xe0,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xe0,0x02,0x00,0x00,
+0xdf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe2,0x02,0x00,0x00,0x04,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xa2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,0xfe,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x9f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8a,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe6,0x02,0x00,0x00,
+0xfc,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x87,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x89,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x82,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x82,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe8,0x02,0x00,0x00,0xfb,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x81,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q5_1_f32_len = 11428;
+
+unsigned char matmul_id_q5_1_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x8f,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
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+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,
+0xcd,0x02,0x00,0x00,0x2e,0x03,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,
+0x28,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0xde,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xdc,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0xde,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xdd,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xd1,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xde,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x98,0x00,0x00,0x00,0xe2,0x02,0x00,0x00,0x91,0x00,0x00,0x00,
+0xd9,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,
+0xe3,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe5,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x34,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xde,0x02,0x00,0x00,0x12,0x03,0x00,0x00,
+0xe6,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0xeb,0x02,0x00,0x00,0x34,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xe7,0x02,0x00,0x00,0xe6,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xeb,0x02,0x00,0x00,
+0xe6,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe6,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xf1,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xf2,0x02,0x00,0x00,
+0xf1,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xf4,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xf3,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,
+0xf4,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf6,0x02,0x00,0x00,0xf2,0x02,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0xf8,0x02,0x00,0x00,
+0xe3,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xf9,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xfb,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,0xfb,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfd,0x02,0x00,0x00,
+0xf9,0x02,0x00,0x00,0xfc,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfe,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,
+0xfd,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x00,0x03,0x00,0x00,0xfe,0x02,0x00,0x00,0xc5,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x03,0x00,0x00,
+0x00,0x03,0x00,0x00,0x34,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x04,0x03,0x00,0x00,0x2b,0x03,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x06,0x03,0x00,0x00,0x04,0x03,0x00,0x00,0x2e,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x08,0x03,0x00,0x00,
+0x06,0x03,0x00,0x00,0x07,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0a,0x03,0x00,0x00,0x2c,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0b,0x03,0x00,0x00,0x08,0x03,0x00,0x00,0x0a,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x0b,0x03,0x00,0x00,0x34,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd9,0x00,0x00,0x00,0x0e,0x03,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x0d,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,
+0x0f,0x03,0x00,0x00,0x0e,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0xae,0x01,0x00,0x00,0x10,0x03,0x00,0x00,0xef,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0x02,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x10,0x03,0x00,0x00,0x0f,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x12,0x03,0x00,0x00,0x34,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe5,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xd2,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x14,0x03,0x00,0x00,
+0x2e,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xd1,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xba,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xba,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x16,0x03,0x00,0x00,0x2c,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x18,0x03,0x00,0x00,0x2b,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x19,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x19,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q5_1_f32_aligned_len = 12236;
+
+unsigned char matmul_id_q5_1_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x65,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
+0x12,0x01,0x00,0x00,0x57,0x01,0x00,0x00,0xa2,0x01,0x00,0x00,
+0xa9,0x01,0x00,0x00,0xc5,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x7a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0e,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0e,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x0e,0x01,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0f,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x10,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x10,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x10,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x12,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x12,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x62,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x63,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
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+0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x98,0x02,0x00,0x00,0x7d,0x02,0x00,0x00,0x97,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
+0x9a,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9f,0x02,0x00,0x00,0x01,0x03,0x00,0x00,0x1d,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,
+0x83,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa3,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa5,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x04,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,
+0xea,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xab,0x02,0x00,0x00,0x04,0x03,0x00,0x00,
+0xc9,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xa7,0x02,0x00,0x00,
+0xa8,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xab,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0xa3,0x02,0x00,0x00,
+0x04,0x03,0x00,0x00,0xae,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0xb2,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,0xfe,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xb4,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xb2,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,
+0xb4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb4,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x98,0x00,0x00,0x00,
+0xb8,0x02,0x00,0x00,0x91,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,0xb9,0x02,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x0a,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xb4,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xbd,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xc1,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,
+0xbd,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbc,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,
+0xb9,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xc8,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xca,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xcb,0x02,0x00,0x00,0xca,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcc,0x02,0x00,0x00,
+0xc8,0x02,0x00,0x00,0xcb,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0xce,0x02,0x00,0x00,0xb9,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xce,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xd0,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xd2,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd4,0x02,0x00,0x00,0xcc,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd4,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0x01,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,
+0xda,0x02,0x00,0x00,0x04,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xde,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe0,0x02,0x00,0x00,0x02,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,
+0xde,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,
+0xe4,0x02,0x00,0x00,0xd6,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,
+0xe4,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0xab,0x01,0x00,0x00,
+0xe6,0x02,0x00,0x00,0xc5,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xe6,0x02,0x00,0x00,
+0xe5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe8,0x02,0x00,0x00,0x0a,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xbd,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xa8,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0x04,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa5,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x90,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x90,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x02,0x00,0x00,
+0x02,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x88,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x88,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xee,0x02,0x00,0x00,0x01,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x85,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x87,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xef,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xef,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q5_1_f32_aligned_fp32_len = 11488;
+
+unsigned char matmul_id_q5_1_f32_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x5d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x11,0x01,0x00,0x00,0x56,0x01,0x00,0x00,0x85,0x01,0x00,0x00,
+0x90,0x01,0x00,0x00,0xb8,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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+0xf5,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0x79,0x02,0x00,0x00,
+0xdf,0x02,0x00,0x00,0x83,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x86,0x02,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x82,0x02,0x00,0x00,
+0x83,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x86,0x02,0x00,0x00,0x81,0x02,0x00,0x00,0x82,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x81,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x70,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8d,0x02,0x00,0x00,
+0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,
+0x8d,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x92,0x02,0x00,0x00,0xf4,0x02,0x00,0x00,0x10,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x93,0x02,0x00,0x00,
+0x76,0x02,0x00,0x00,0x92,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x95,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x96,0x02,0x00,0x00,0x93,0x02,0x00,0x00,0x95,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x98,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x98,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xf7,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0x81,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,
+0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x9a,0x02,0x00,0x00,
+0x9b,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x9e,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x99,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0x96,0x02,0x00,0x00,
+0xf7,0x02,0x00,0x00,0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xa5,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xa7,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xa5,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,
+0xa7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa6,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa7,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,
+0xab,0x02,0x00,0x00,0x90,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,0xac,0x02,0x00,0x00,
+0xab,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xae,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xae,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xfd,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0xa7,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,
+0xfd,0x02,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xb0,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xb4,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,
+0xb0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0xba,0x02,0x00,0x00,
+0xac,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,0xba,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xbd,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0xbd,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xbb,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xc2,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xc5,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,
+0xc5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc7,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,
+0xc7,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcb,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,
+0xfd,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcd,0x02,0x00,0x00,0xf4,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,
+0xcd,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,
+0xd0,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xf5,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,
+0xd1,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,0xd4,0x02,0x00,0x00,
+0xfd,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0xd7,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,
+0xd7,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0xa8,0x01,0x00,0x00,
+0xd9,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0xcb,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xd9,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdb,0x02,0x00,0x00,0xfd,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb0,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x9b,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x9b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x98,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x9a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x83,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x83,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0xf5,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x80,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x82,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x7b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe1,0x02,0x00,0x00,0xf4,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x78,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe2,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q5_1_f32_fp32_len = 11308;
+
+unsigned char matmul_id_q5_k_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xda,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x90,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x8e,0x01,0x00,0x00,
+0xf4,0x01,0x00,0x00,0xff,0x01,0x00,0x00,0x2c,0x03,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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+0xf6,0x00,0x04,0x00,0xf6,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xfa,0x02,0x00,0x00,
+0xf5,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xfe,0x02,0x00,0x00,0x67,0x03,0x00,0x00,0x43,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xff,0x02,0x00,0x00,
+0xe4,0x02,0x00,0x00,0xfe,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x01,0x03,0x00,0x00,0x46,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x02,0x03,0x00,0x00,0xff,0x02,0x00,0x00,0x01,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x06,0x03,0x00,0x00,
+0x66,0x03,0x00,0x00,0x82,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x07,0x03,0x00,0x00,0xea,0x02,0x00,0x00,
+0x06,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x09,0x03,0x00,0x00,0x4a,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0a,0x03,0x00,0x00,
+0x07,0x03,0x00,0x00,0x09,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x0c,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x0c,0x03,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x69,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,0x51,0x03,0x00,0x00,
+0x0f,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x12,0x03,0x00,0x00,0x69,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x0e,0x03,0x00,0x00,0x0f,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x12,0x03,0x00,0x00,
+0x0d,0x03,0x00,0x00,0x0e,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0d,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x16,0x03,0x00,0x00,0x0a,0x03,0x00,0x00,0x69,0x03,0x00,0x00,
+0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x19,0x03,0x00,0x00,
+0x16,0x03,0x00,0x00,0x63,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x1b,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x19,0x03,0x00,0x00,0x1a,0x03,0x00,0x00,0x1b,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x1a,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x0e,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x1b,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,0x1f,0x03,0x00,0x00,
+0x90,0x00,0x00,0x00,0x16,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0x20,0x03,0x00,0x00,0x1f,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x22,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x22,0x03,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x6f,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0x1b,0x03,0x00,0x00,
+0x4f,0x03,0x00,0x00,0x23,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x28,0x03,0x00,0x00,0x6f,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x24,0x03,0x00,0x00,
+0x23,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x28,0x03,0x00,0x00,0x23,0x03,0x00,0x00,0x24,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x23,0x03,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0x2e,0x03,0x00,0x00,0x20,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x2f,0x03,0x00,0x00,0x2e,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0x31,0x03,0x00,0x00,0x13,0x00,0x00,0x00,
+0x30,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x32,0x03,0x00,0x00,0x31,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x33,0x03,0x00,0x00,0x2f,0x03,0x00,0x00,
+0x32,0x03,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0x35,0x03,0x00,0x00,0x20,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x36,0x03,0x00,0x00,
+0x35,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x38,0x03,0x00,0x00,0x13,0x00,0x00,0x00,0x37,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x39,0x03,0x00,0x00,
+0x38,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x03,0x00,0x00,0x36,0x03,0x00,0x00,0x39,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3b,0x03,0x00,0x00,
+0x33,0x03,0x00,0x00,0x3a,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x3d,0x03,0x00,0x00,0x3b,0x03,0x00,0x00,
+0x02,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3f,0x03,0x00,0x00,0x3d,0x03,0x00,0x00,0x6f,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x41,0x03,0x00,0x00,
+0x66,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x43,0x03,0x00,0x00,0x41,0x03,0x00,0x00,
+0x69,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x45,0x03,0x00,0x00,0x43,0x03,0x00,0x00,0x44,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x47,0x03,0x00,0x00,
+0x67,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x48,0x03,0x00,0x00,0x45,0x03,0x00,0x00,
+0x47,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4a,0x03,0x00,0x00,0x48,0x03,0x00,0x00,0x6f,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,0x4b,0x03,0x00,0x00,
+0xd5,0x00,0x00,0x00,0x4a,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xcf,0x00,0x00,0x00,0x4c,0x03,0x00,0x00,0x4b,0x03,0x00,0x00,
+0x41,0x00,0x06,0x00,0x17,0x02,0x00,0x00,0x4d,0x03,0x00,0x00,
+0x2c,0x03,0x00,0x00,0x15,0x00,0x00,0x00,0x3f,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x4d,0x03,0x00,0x00,0x4c,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4f,0x03,0x00,0x00,
+0x6f,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x22,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x24,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x0f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0f,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x51,0x03,0x00,0x00,0x69,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x0c,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0e,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0xf7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x53,0x03,0x00,0x00,0x67,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xef,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xef,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x55,0x03,0x00,0x00,
+0x66,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xec,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xee,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x56,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x56,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_q5_k_f32_len = 13068;
+
+unsigned char matmul_id_q5_k_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x04,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x8f,0x01,0x00,0x00,
+0x11,0x02,0x00,0x00,0x19,0x02,0x00,0x00,0x5b,0x03,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,
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+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x84,0x03,0x00,0x00,
+0x95,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x1b,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x1d,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x85,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x85,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_q5_k_f32_aligned_len = 13860;
+
+unsigned char matmul_id_q5_k_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xda,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
+0x8e,0x01,0x00,0x00,0x0e,0x02,0x00,0x00,0x15,0x02,0x00,0x00,
+0x31,0x03,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
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+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
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+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
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+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
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+0xfb,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xf4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5a,0x03,0x00,0x00,0x6b,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf1,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x5b,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x5b,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q5_k_f32_aligned_fp32_len = 13112;
+
+unsigned char matmul_id_q5_k_f32_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xd3,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
+0x8e,0x01,0x00,0x00,0xf2,0x01,0x00,0x00,0xfd,0x01,0x00,0x00,
+0x25,0x03,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x32,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x33,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x34,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x34,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x34,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x34,0x01,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x36,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x36,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x36,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x38,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x38,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xce,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xcf,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xfa,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xfb,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xfb,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xfb,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xfd,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xfd,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x22,0x03,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x23,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x23,0x03,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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+0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
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+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
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+0x31,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
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+0x43,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x42,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
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+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
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+0xc9,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,
+0xcf,0x00,0x00,0x00,0xca,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,
+0xc9,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xc8,0x02,0x00,0x00,
+0xca,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcd,0x02,0x00,0x00,0x87,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xab,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xa4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,0x85,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa1,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x9c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x9c,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,
+0x83,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x99,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x9b,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x94,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x94,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd3,0x02,0x00,0x00,0x7f,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x91,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x93,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x31,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x31,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd5,0x02,0x00,0x00,0x79,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x2e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x30,0x02,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe0,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd7,0x02,0x00,0x00,0x5e,0x03,0x00,0x00,0x4e,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xdf,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdc,0x02,0x00,0x00,0x37,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,
+0xb4,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe2,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xc5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe3,0x02,0x00,0x00,0xa3,0x00,0x00,0x00,0xe2,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe5,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x5f,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0x4e,0x03,0x00,0x00,0xe8,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,0x5f,0x03,0x00,0x00,
+0xcb,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xe7,0x02,0x00,0x00,
+0xe8,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xeb,0x02,0x00,0x00,0xe6,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe6,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xed,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xed,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x60,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xe6,0x02,0x00,0x00,0x4c,0x03,0x00,0x00,
+0xf0,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xf3,0x02,0x00,0x00,0x60,0x03,0x00,0x00,0x42,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xef,0x02,0x00,0x00,0xf0,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf3,0x02,0x00,0x00,
+0xee,0x02,0x00,0x00,0xef,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xee,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf7,0x02,0x00,0x00,0x60,0x03,0x00,0x00,0x43,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,0x46,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xfb,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,0xfa,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xff,0x02,0x00,0x00,
+0x5f,0x03,0x00,0x00,0x7d,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0xe3,0x02,0x00,0x00,
+0xff,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x02,0x03,0x00,0x00,0x4a,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x03,0x03,0x00,0x00,
+0x00,0x03,0x00,0x00,0x02,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x05,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x03,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x62,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xee,0x02,0x00,0x00,0x4a,0x03,0x00,0x00,
+0x08,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x0b,0x03,0x00,0x00,0x62,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x07,0x03,0x00,0x00,0x08,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x0b,0x03,0x00,0x00,
+0x06,0x03,0x00,0x00,0x07,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x06,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0f,0x03,0x00,0x00,0x03,0x03,0x00,0x00,0x62,0x03,0x00,0x00,
+0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x12,0x03,0x00,0x00,
+0x0f,0x03,0x00,0x00,0x5c,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x14,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x12,0x03,0x00,0x00,0x13,0x03,0x00,0x00,0x14,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x13,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x07,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x14,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,0x18,0x03,0x00,0x00,
+0x90,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0x19,0x03,0x00,0x00,0x18,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x1b,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1b,0x03,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x68,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0x14,0x03,0x00,0x00,
+0x48,0x03,0x00,0x00,0x1c,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x21,0x03,0x00,0x00,0x68,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x1d,0x03,0x00,0x00,
+0x1c,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x21,0x03,0x00,0x00,0x1c,0x03,0x00,0x00,0x1d,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x1c,0x03,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0x27,0x03,0x00,0x00,0x19,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x28,0x03,0x00,0x00,0x27,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0x2a,0x03,0x00,0x00,0x13,0x00,0x00,0x00,
+0x29,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x03,0x00,0x00,0x2a,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x2c,0x03,0x00,0x00,0x28,0x03,0x00,0x00,
+0x2b,0x03,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0x2e,0x03,0x00,0x00,0x19,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x2f,0x03,0x00,0x00,
+0x2e,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x31,0x03,0x00,0x00,0x13,0x00,0x00,0x00,0x30,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x32,0x03,0x00,0x00,
+0x31,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x33,0x03,0x00,0x00,0x2f,0x03,0x00,0x00,0x32,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x34,0x03,0x00,0x00,
+0x2c,0x03,0x00,0x00,0x33,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x36,0x03,0x00,0x00,0x34,0x03,0x00,0x00,
+0xfb,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x38,0x03,0x00,0x00,0x36,0x03,0x00,0x00,0x68,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3a,0x03,0x00,0x00,
+0x5f,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x3c,0x03,0x00,0x00,0x3a,0x03,0x00,0x00,
+0x62,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3e,0x03,0x00,0x00,0x3c,0x03,0x00,0x00,0x3d,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x40,0x03,0x00,0x00,
+0x60,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x41,0x03,0x00,0x00,0x3e,0x03,0x00,0x00,
+0x40,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x43,0x03,0x00,0x00,0x41,0x03,0x00,0x00,0x68,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,0x44,0x03,0x00,0x00,
+0xd5,0x00,0x00,0x00,0x43,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xcf,0x00,0x00,0x00,0x45,0x03,0x00,0x00,0x44,0x03,0x00,0x00,
+0x41,0x00,0x06,0x00,0x15,0x02,0x00,0x00,0x46,0x03,0x00,0x00,
+0x25,0x03,0x00,0x00,0x15,0x00,0x00,0x00,0x38,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x46,0x03,0x00,0x00,0x45,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x48,0x03,0x00,0x00,
+0x68,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x1b,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x1d,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x08,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x08,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4a,0x03,0x00,0x00,0x62,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x05,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x07,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0xf0,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf0,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x4c,0x03,0x00,0x00,0x60,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xed,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xef,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe8,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4e,0x03,0x00,0x00,
+0x5f,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe7,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x4f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x4f,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_q5_k_f32_fp32_len = 12948;
+
+unsigned char matmul_id_q6_k_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x91,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
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+0x2b,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xd2,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xd6,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xd1,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,
+0xce,0x02,0x00,0x00,0x2b,0x03,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0xda,0x02,0x00,0x00,
+0x25,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0xdf,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xdd,0x02,0x00,0x00,
+0xde,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xde,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xd2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xdf,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x97,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,0x90,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0xe4,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe6,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x31,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,0x13,0x03,0x00,0x00,
+0xe7,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xec,0x02,0x00,0x00,0x31,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xe8,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xec,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe7,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0xf2,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xf3,0x02,0x00,0x00,
+0xf2,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xf5,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xf4,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xf6,0x02,0x00,0x00,
+0xf5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf7,0x02,0x00,0x00,0xf3,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0xf9,0x02,0x00,0x00,
+0xe4,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xfb,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xfd,0x02,0x00,0x00,0xfc,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x02,0x00,0x00,
+0xfa,0x02,0x00,0x00,0xfd,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xff,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,
+0xfe,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x01,0x03,0x00,0x00,0xff,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x03,0x03,0x00,0x00,
+0x01,0x03,0x00,0x00,0x31,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x05,0x03,0x00,0x00,0x28,0x03,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x07,0x03,0x00,0x00,0x05,0x03,0x00,0x00,0x2b,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x09,0x03,0x00,0x00,
+0x07,0x03,0x00,0x00,0x08,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0b,0x03,0x00,0x00,0x29,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x03,0x00,0x00,0x09,0x03,0x00,0x00,0x0b,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x0c,0x03,0x00,0x00,0x31,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd8,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,0xd5,0x00,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0x10,0x03,0x00,0x00,0x0f,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0xdb,0x01,0x00,0x00,0x11,0x03,0x00,0x00,0xf0,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0x03,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x11,0x03,0x00,0x00,0x10,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x13,0x03,0x00,0x00,0x31,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe6,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xd3,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x15,0x03,0x00,0x00,
+0x2b,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xd2,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xbb,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x17,0x03,0x00,0x00,0x29,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xba,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x19,0x03,0x00,0x00,0x28,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xb0,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb2,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x1a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x1a,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q6_k_f32_len = 12236;
+
+unsigned char matmul_id_q6_k_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xba,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,
+0xd4,0x01,0x00,0x00,0xdc,0x01,0x00,0x00,0x1e,0x03,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x7a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x34,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x37,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x39,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x39,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x39,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x39,0x01,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x3b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
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+0xfa,0x00,0x04,0x00,0x0b,0x03,0x00,0x00,0x0c,0x03,0x00,0x00,
+0x0d,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x0c,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x00,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0d,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x98,0x00,0x00,0x00,
+0x11,0x03,0x00,0x00,0x91,0x00,0x00,0x00,0x08,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,0x12,0x03,0x00,0x00,
+0x11,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x14,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x14,0x03,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x5f,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0x0d,0x03,0x00,0x00,0x41,0x03,0x00,0x00,0x15,0x03,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0x1a,0x03,0x00,0x00,
+0x5f,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x16,0x03,0x00,0x00,0x15,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x1a,0x03,0x00,0x00,0x15,0x03,0x00,0x00,
+0x16,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x15,0x03,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0x20,0x03,0x00,0x00,
+0x12,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x21,0x03,0x00,0x00,0x20,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x23,0x03,0x00,0x00,
+0x13,0x00,0x00,0x00,0x22,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x24,0x03,0x00,0x00,0x23,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x25,0x03,0x00,0x00,
+0x21,0x03,0x00,0x00,0x24,0x03,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0x27,0x03,0x00,0x00,0x12,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x28,0x03,0x00,0x00,0x27,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0x2a,0x03,0x00,0x00,0x13,0x00,0x00,0x00,
+0x29,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x03,0x00,0x00,0x2a,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x2c,0x03,0x00,0x00,0x28,0x03,0x00,0x00,
+0x2b,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x2d,0x03,0x00,0x00,0x25,0x03,0x00,0x00,0x2c,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2f,0x03,0x00,0x00,
+0x2d,0x03,0x00,0x00,0xf4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x31,0x03,0x00,0x00,0x2f,0x03,0x00,0x00,
+0x5f,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x33,0x03,0x00,0x00,0x56,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x35,0x03,0x00,0x00,
+0x33,0x03,0x00,0x00,0x59,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x37,0x03,0x00,0x00,0x35,0x03,0x00,0x00,
+0x36,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x39,0x03,0x00,0x00,0x57,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3a,0x03,0x00,0x00,
+0x37,0x03,0x00,0x00,0x39,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x3c,0x03,0x00,0x00,0x3a,0x03,0x00,0x00,
+0x5f,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,
+0x3d,0x03,0x00,0x00,0xd6,0x00,0x00,0x00,0x3c,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0x3e,0x03,0x00,0x00,
+0x3d,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0xde,0x01,0x00,0x00,
+0x3f,0x03,0x00,0x00,0x1e,0x03,0x00,0x00,0x15,0x00,0x00,0x00,
+0x31,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x3f,0x03,0x00,0x00,
+0x3e,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x41,0x03,0x00,0x00,0x5f,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x14,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x16,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x01,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x01,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x43,0x03,0x00,0x00,0x59,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xfe,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x00,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x45,0x03,0x00,0x00,
+0x57,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe8,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x47,0x03,0x00,0x00,0x56,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xde,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe0,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x48,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x48,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q6_k_f32_aligned_len = 13012;
+
+unsigned char matmul_id_q6_k_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x91,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x4f,0x01,0x00,0x00,0xd2,0x01,0x00,0x00,0xd9,0x01,0x00,0x00,
+0xf5,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x7a,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x36,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x38,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x3a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x3a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3a,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x3a,0x01,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3b,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x3c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3c,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x3c,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3e,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3e,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x92,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x93,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd6,0x01,0x00,0x00,
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+0xd0,0x00,0x00,0x00,0x90,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,0x95,0x02,0x00,0x00,
+0x45,0x02,0x00,0x00,0x83,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xd0,0x00,0x00,0x00,0x96,0x02,0x00,0x00,0x95,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,0x98,0x02,0x00,0x00,
+0xd6,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xd0,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
+0x0c,0x00,0x08,0x00,0xd0,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x90,0x02,0x00,0x00,
+0x96,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x98,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,0x55,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x79,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x74,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x74,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,
+0x53,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x71,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x73,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x6c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa1,0x02,0x00,0x00,0x51,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x69,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x64,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x64,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa3,0x02,0x00,0x00,0x4d,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x61,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x63,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x01,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x01,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,
+0x47,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xfe,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x00,0x02,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x0c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,0x2c,0x03,0x00,0x00,
+0x4e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0x37,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xad,0x02,0x00,0x00,0xb5,0x00,0x00,0x00,0xac,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,
+0x3b,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,0xa4,0x00,0x00,0x00,
+0xb2,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x2d,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xe0,0x00,0x00,0x00,0x1e,0x03,0x00,0x00,0xb8,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,
+0x2d,0x03,0x00,0x00,0xcc,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xb7,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xbb,0x02,0x00,0x00,0xb6,0x02,0x00,0x00,
+0xb7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb6,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xbd,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x2e,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,
+0x1c,0x03,0x00,0x00,0xc0,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xc3,0x02,0x00,0x00,0x2e,0x03,0x00,0x00,
+0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xbf,0x02,0x00,0x00,
+0xc0,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xc3,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbe,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,0x2e,0x03,0x00,0x00,
+0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc8,0x02,0x00,0x00,0xad,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xca,0x02,0x00,0x00,
+0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcb,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,
+0xca,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0x2d,0x03,0x00,0x00,0x4d,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd0,0x02,0x00,0x00,
+0xb3,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd5,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x30,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,
+0x1a,0x03,0x00,0x00,0xd8,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,0x30,0x03,0x00,0x00,
+0xc9,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xd7,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xdb,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,
+0x30,0x03,0x00,0x00,0xae,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0xe2,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,0x2a,0x03,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xe4,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe2,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,
+0xe4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe3,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe4,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x98,0x00,0x00,0x00,
+0xe8,0x02,0x00,0x00,0x91,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,0xe9,0x02,0x00,0x00,
+0xe8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xeb,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xeb,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x36,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xe4,0x02,0x00,0x00,0x18,0x03,0x00,0x00,0xec,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xf1,0x02,0x00,0x00,
+0x36,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xed,0x02,0x00,0x00,0xec,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xf1,0x02,0x00,0x00,0xec,0x02,0x00,0x00,
+0xed,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xec,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0xf7,0x02,0x00,0x00,
+0xe9,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xf8,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xf9,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xfb,0x02,0x00,0x00,0xfa,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,
+0xf8,0x02,0x00,0x00,0xfb,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0xfe,0x02,0x00,0x00,0xe9,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xff,0x02,0x00,0x00,0xfe,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0x01,0x03,0x00,0x00,0x13,0x00,0x00,0x00,
+0x00,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x02,0x03,0x00,0x00,0x01,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x03,0x03,0x00,0x00,0xff,0x02,0x00,0x00,
+0x02,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x04,0x03,0x00,0x00,0xfc,0x02,0x00,0x00,0x03,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x06,0x03,0x00,0x00,
+0x04,0x03,0x00,0x00,0xcb,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x08,0x03,0x00,0x00,0x06,0x03,0x00,0x00,
+0x36,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x2d,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x30,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0e,0x03,0x00,0x00,0x0c,0x03,0x00,0x00,
+0x0d,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x10,0x03,0x00,0x00,0x2e,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x11,0x03,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x10,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x13,0x03,0x00,0x00,0x11,0x03,0x00,0x00,
+0x36,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,
+0x14,0x03,0x00,0x00,0xd6,0x00,0x00,0x00,0x13,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0x15,0x03,0x00,0x00,
+0x14,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0xdb,0x01,0x00,0x00,
+0x16,0x03,0x00,0x00,0xf5,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0x08,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x16,0x03,0x00,0x00,
+0x15,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x18,0x03,0x00,0x00,0x36,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xeb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xed,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xd8,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x03,0x00,0x00,0x30,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd5,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc0,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1c,0x03,0x00,0x00,
+0x2e,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xbd,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbf,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x03,0x00,0x00,0x2d,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x1f,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x1f,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q6_k_f32_aligned_fp32_len = 12280;
+
+unsigned char matmul_id_q6_k_f32_fp32_data[] = {
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+0x6b,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,
+0x1e,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0xd8,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xd6,0x02,0x00,0x00,
+0xd7,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xcb,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd8,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x97,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0x90,0x00,0x00,0x00,
+0xd3,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0xdd,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xdf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xdf,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x2a,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,0x0c,0x03,0x00,0x00,
+0xe0,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xe5,0x02,0x00,0x00,0x2a,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xe1,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe5,0x02,0x00,0x00,
+0xe0,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe0,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0xeb,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xec,0x02,0x00,0x00,
+0xeb,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xee,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xed,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xef,0x02,0x00,0x00,
+0xee,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf0,0x02,0x00,0x00,0xec,0x02,0x00,0x00,0xef,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0xf2,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xf3,0x02,0x00,0x00,0xf2,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xf4,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xf6,0x02,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf7,0x02,0x00,0x00,
+0xf3,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf8,0x02,0x00,0x00,0xf0,0x02,0x00,0x00,
+0xf7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xfa,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,
+0xfa,0x02,0x00,0x00,0x2a,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfe,0x02,0x00,0x00,0x21,0x03,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x00,0x03,0x00,0x00,0xfe,0x02,0x00,0x00,0x24,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x03,0x00,0x00,
+0x00,0x03,0x00,0x00,0x01,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x04,0x03,0x00,0x00,0x22,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x05,0x03,0x00,0x00,0x02,0x03,0x00,0x00,0x04,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x07,0x03,0x00,0x00,
+0x05,0x03,0x00,0x00,0x2a,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd8,0x00,0x00,0x00,0x08,0x03,0x00,0x00,0xd5,0x00,0x00,0x00,
+0x07,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0x09,0x03,0x00,0x00,0x08,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0xd9,0x01,0x00,0x00,0x0a,0x03,0x00,0x00,0xe9,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x0a,0x03,0x00,0x00,0x09,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,0x2a,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xdf,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcc,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xcc,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x24,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xcb,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x10,0x03,0x00,0x00,0x22,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xac,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x12,0x03,0x00,0x00,0x21,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xab,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x13,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x13,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q6_k_f32_fp32_len = 12116;
+
+unsigned char matmul_id_q8_0_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x3f,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
+0x32,0x01,0x00,0x00,0x63,0x01,0x00,0x00,0x6e,0x01,0x00,0x00,
+0x9c,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0f,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x10,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x10,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x11,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x12,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x12,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x14,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x14,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3f,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x40,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6b,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x6c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x6c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
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+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x98,0x02,0x00,0x00,
+0xdf,0x02,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x94,0x02,0x00,0x00,0x93,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x98,0x02,0x00,0x00,0x93,0x02,0x00,0x00,
+0x94,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x93,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x90,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa3,0x02,0x00,0x00,
+0x9f,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,0x90,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xa5,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xa7,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xa9,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,
+0xa9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xab,0x02,0x00,0x00,0xa3,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xad,0x02,0x00,0x00,
+0xab,0x02,0x00,0x00,0x72,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0xad,0x02,0x00,0x00,
+0xdf,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb1,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,
+0xb1,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb5,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,
+0xb4,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb7,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,
+0xb5,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,
+0xdf,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0xbb,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,0xba,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,
+0xbb,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x87,0x01,0x00,0x00,
+0xbd,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0xaf,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xbd,0x02,0x00,0x00,
+0xbc,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xbf,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x92,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x94,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x67,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x67,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc3,0x02,0x00,0x00,
+0xd7,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x64,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x66,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc5,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xc6,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc6,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q8_0_f32_len = 11080;
+
+unsigned char matmul_id_q8_0_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x6a,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x15,0x01,0x00,0x00,
+0x33,0x01,0x00,0x00,0x81,0x01,0x00,0x00,0x89,0x01,0x00,0x00,
+0xcc,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x7a,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x10,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x12,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x13,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x13,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x13,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x15,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x15,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x40,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x41,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x86,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x87,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x87,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x87,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x87,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x87,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x89,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x89,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc9,0x02,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xca,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xca,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xca,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,
+0xa4,0x00,0x00,0x00,0x89,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8c,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x06,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x8f,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0x92,0x02,0x00,0x00,0x06,0x03,0x00,0x00,0xcc,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x8e,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x92,0x02,0x00,0x00,
+0x8d,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x94,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x94,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x07,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0x8d,0x02,0x00,0x00,0xf3,0x02,0x00,0x00,0x97,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x07,0x03,0x00,0x00,0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x96,0x02,0x00,0x00,0x97,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x9a,0x02,0x00,0x00,0x95,0x02,0x00,0x00,
+0x96,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x95,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x07,0x03,0x00,0x00,0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0x84,0x02,0x00,0x00,
+0x9e,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa1,0x02,0x00,0x00,0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0x9f,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0x06,0x03,0x00,0x00,
+0x22,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa7,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,
+0x4a,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xa9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xac,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x09,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0x95,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,
+0x09,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xae,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xb2,0x02,0x00,0x00,0xad,0x02,0x00,0x00,
+0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xad,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,
+0xaa,0x02,0x00,0x00,0x09,0x03,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xb9,0x02,0x00,0x00,0xb6,0x02,0x00,0x00,
+0x03,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0xbb,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xb9,0x02,0x00,0x00,
+0xba,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xba,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xae,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x98,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,0x91,0x00,0x00,0x00,
+0xb6,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,
+0xc0,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,0xef,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0xc8,0x02,0x00,0x00,0x0f,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xc4,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xc8,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc3,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xce,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,
+0xce,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xd1,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xd0,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,
+0xd1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0xd5,0x02,0x00,0x00,
+0xc0,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,
+0xd6,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,
+0xda,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdd,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0x0f,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,0x06,0x03,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe3,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,0x09,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,
+0xe3,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,0x07,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe8,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,
+0xe8,0x02,0x00,0x00,0x0f,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd9,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xea,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,
+0xec,0x02,0x00,0x00,0xeb,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x8b,0x01,0x00,0x00,0xed,0x02,0x00,0x00,0xcc,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xed,0x02,0x00,0x00,0xec,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xef,0x02,0x00,0x00,0x0f,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xaf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf1,0x02,0x00,0x00,
+0x09,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xac,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xae,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x97,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x97,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf3,0x02,0x00,0x00,0x07,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x94,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x96,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,0x06,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x8c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q8_0_f32_aligned_len = 11888;
+
+unsigned char matmul_id_q8_0_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x40,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
+0x15,0x01,0x00,0x00,0x33,0x01,0x00,0x00,0x7f,0x01,0x00,0x00,
+0x86,0x01,0x00,0x00,0xa2,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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+0xfa,0x00,0x04,0x00,0x68,0x02,0x00,0x00,0x63,0x02,0x00,0x00,
+0x64,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x63,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x6a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6a,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xdd,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0x63,0x02,0x00,0x00,
+0xc9,0x02,0x00,0x00,0x6d,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0x70,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x6c,0x02,0x00,0x00,
+0x6d,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x70,0x02,0x00,0x00,0x6b,0x02,0x00,0x00,0x6c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x6b,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x74,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x75,0x02,0x00,0x00,0x5a,0x02,0x00,0x00,0x74,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x77,0x02,0x00,0x00,
+0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x78,0x02,0x00,0x00,0x75,0x02,0x00,0x00,
+0x77,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x7c,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,0xfa,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7d,0x02,0x00,0x00,
+0x60,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x7f,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x80,0x02,0x00,0x00,0x7d,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x82,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x82,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xdf,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0x6b,0x02,0x00,0x00,
+0xc7,0x02,0x00,0x00,0x85,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0x88,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,
+0xc9,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x84,0x02,0x00,0x00,
+0x85,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x88,0x02,0x00,0x00,0x83,0x02,0x00,0x00,0x84,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x83,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,0x80,0x02,0x00,0x00,
+0xdf,0x02,0x00,0x00,0xae,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,
+0x8f,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x91,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x8f,0x02,0x00,0x00,0x90,0x02,0x00,0x00,
+0x91,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x90,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x84,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x91,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x98,0x00,0x00,0x00,
+0x95,0x02,0x00,0x00,0x91,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,0x96,0x02,0x00,0x00,
+0x95,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x98,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x98,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0x91,0x02,0x00,0x00,0xc5,0x02,0x00,0x00,0x99,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6c,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0xe5,0x02,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x9a,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x9e,0x02,0x00,0x00,0x99,0x02,0x00,0x00,
+0x9a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x99,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,
+0x96,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,
+0xa5,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0xab,0x02,0x00,0x00,0x96,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xac,0x02,0x00,0x00,0xab,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xae,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xad,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xaf,0x02,0x00,0x00,0xae,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
+0xaf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb1,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,
+0xb1,0x02,0x00,0x00,0x78,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb5,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,
+0xe5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb7,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x02,0x00,0x00,
+0xb7,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,0xb9,0x02,0x00,0x00,
+0xba,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xbd,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,
+0xbb,0x02,0x00,0x00,0xbd,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,
+0xe5,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,
+0xc1,0x02,0x00,0x00,0xd6,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0xc2,0x02,0x00,0x00,
+0xc1,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x88,0x01,0x00,0x00,
+0xc3,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0xb5,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xc3,0x02,0x00,0x00,
+0xc2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc5,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x98,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x85,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x85,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x82,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x84,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x6d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x6d,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x6a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x6c,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x65,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x65,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcb,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x62,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x64,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xcc,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xcc,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q8_0_f32_aligned_fp32_len = 11140;
+
+unsigned char matmul_id_q8_0_f32_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x38,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x14,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x61,0x01,0x00,0x00,
+0x6c,0x01,0x00,0x00,0x95,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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+0xf9,0x00,0x02,0x00,0x75,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x75,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0x5e,0x02,0x00,0x00,
+0xba,0x02,0x00,0x00,0x78,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x7b,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,
+0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x77,0x02,0x00,0x00,
+0x78,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x7b,0x02,0x00,0x00,0x76,0x02,0x00,0x00,0x77,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x76,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x7f,0x02,0x00,0x00,0x73,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x82,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,0xcc,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x84,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x82,0x02,0x00,0x00,0x83,0x02,0x00,0x00,
+0x84,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x83,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x77,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x84,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,
+0x88,0x02,0x00,0x00,0x90,0x00,0x00,0x00,0x7f,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,0x89,0x02,0x00,0x00,
+0x88,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x8b,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8b,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0x84,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x91,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x8d,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x91,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,
+0x8d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8c,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x97,0x02,0x00,0x00,
+0x89,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x98,0x02,0x00,0x00,0x97,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,
+0x98,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,0x89,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x9f,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xa0,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xa2,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa3,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa4,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,0xa3,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,
+0xa4,0x02,0x00,0x00,0x6b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xaa,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xac,0x02,0x00,0x00,
+0xaa,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xae,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
+0xad,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb0,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb1,0x02,0x00,0x00,
+0xae,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,0xb1,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0xb4,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0xb5,0x02,0x00,0x00,
+0xb4,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x85,0x01,0x00,0x00,
+0xb6,0x02,0x00,0x00,0x95,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0xa8,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xb6,0x02,0x00,0x00,
+0xb5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x78,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x78,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x75,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x77,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x60,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x60,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,
+0xd0,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x5d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x58,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x58,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xbe,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x55,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x57,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xbf,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbf,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_q8_0_f32_fp32_len = 10960;
+
 unsigned char matmul_q2_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x4e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
@@ -21719,12 +77492,12 @@ unsigned char matmul_q2_k_f32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -21758,13 +77531,13 @@ unsigned char matmul_q2_k_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
@@ -21898,7 +77671,7 @@ unsigned char matmul_q2_k_f32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x44,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x78,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x78,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x80,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0xc6,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0xc7,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,
@@ -22663,12 +78436,12 @@ unsigned char matmul_q2_k_f32_aligned_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -22704,12 +78477,12 @@ unsigned char matmul_q2_k_f32_aligned_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -22847,7 +78620,7 @@ unsigned char matmul_q2_k_f32_aligned_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x65,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x99,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0xa1,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0xe7,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xe8,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -23647,13 +79420,13 @@ unsigned char matmul_q2_k_f32_aligned_fp32_data[] = {
 0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
@@ -23688,12 +79461,12 @@ unsigned char matmul_q2_k_f32_aligned_fp32_data[] = {
 0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -23824,7 +79597,7 @@ unsigned char matmul_q2_k_f32_aligned_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x3e,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x70,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x70,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x78,0x02,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xbe,0x02,0x00,0x00,
 0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xbf,0x02,0x00,0x00,
@@ -24574,13 +80347,13 @@ unsigned char matmul_q2_k_f32_fp32_data[] = {
 0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
@@ -24614,12 +80387,12 @@ unsigned char matmul_q2_k_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -24751,7 +80524,7 @@ unsigned char matmul_q2_k_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3f,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x71,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0x79,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0xbf,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xc0,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -25510,12 +81283,12 @@ unsigned char matmul_q3_k_f32_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -25549,12 +81322,12 @@ unsigned char matmul_q3_k_f32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -25690,7 +81463,7 @@ unsigned char matmul_q3_k_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xf8,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xf8,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x00,0x03,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x46,0x03,0x00,0x00,
 0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x47,0x03,0x00,0x00,
@@ -25996,7 +81769,7 @@ unsigned char matmul_q3_k_f32_data[] = {
 0xfb,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8d,0x01,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x30,0x01,0x00,0x00,0x8f,0x01,0x00,0x00,
 0x8e,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x30,0x01,0x00,0x00,
-0x90,0x01,0x00,0x00,0x8f,0x01,0x00,0x00,0x81,0x00,0x00,0x00,
+0x90,0x01,0x00,0x00,0x8f,0x01,0x00,0x00,0x91,0x00,0x00,0x00,
 0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x91,0x01,0x00,0x00,
 0x90,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x92,0x01,0x00,0x00,0x91,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
@@ -26613,12 +82386,12 @@ unsigned char matmul_q3_k_f32_aligned_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -26653,13 +82426,13 @@ unsigned char matmul_q3_k_f32_aligned_data[] = {
 0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
@@ -26798,7 +82571,7 @@ unsigned char matmul_q3_k_f32_aligned_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xe5,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x19,0x03,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x19,0x03,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x21,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0x67,0x03,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x68,0x03,0x00,0x00,0x67,0x03,0x00,0x00,
@@ -27104,7 +82877,7 @@ unsigned char matmul_q3_k_f32_aligned_data[] = {
 0x87,0x00,0x00,0x00,0x8d,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x30,0x01,0x00,0x00,0x8f,0x01,0x00,0x00,0x8e,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x30,0x01,0x00,0x00,0x90,0x01,0x00,0x00,
-0x8f,0x01,0x00,0x00,0x82,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x8f,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x91,0x01,0x00,0x00,0x90,0x01,0x00,0x00,
 0x7c,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x92,0x01,0x00,0x00,
 0x91,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x15,0x00,0x00,0x00,
@@ -27756,12 +83529,12 @@ unsigned char matmul_q3_k_f32_aligned_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -27797,12 +83570,12 @@ unsigned char matmul_q3_k_f32_aligned_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -27935,7 +83708,7 @@ unsigned char matmul_q3_k_f32_aligned_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xf0,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0xf8,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0x3e,0x03,0x00,0x00,0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0x3f,0x03,0x00,0x00,0x3e,0x03,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -28241,7 +84014,7 @@ unsigned char matmul_q3_k_f32_aligned_fp32_data[] = {
 0x8d,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x30,0x01,0x00,0x00,
 0x8f,0x01,0x00,0x00,0x8e,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x30,0x01,0x00,0x00,0x90,0x01,0x00,0x00,0x8f,0x01,0x00,0x00,
-0x82,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x92,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x91,0x01,0x00,0x00,0x90,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x92,0x01,0x00,0x00,0x91,0x01,0x00,0x00,
 0xc7,0x00,0x05,0x00,0x15,0x00,0x00,0x00,0x93,0x01,0x00,0x00,
@@ -28842,12 +84615,12 @@ unsigned char matmul_q3_k_f32_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -28881,13 +84654,13 @@ unsigned char matmul_q3_k_f32_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
@@ -29020,7 +84793,7 @@ unsigned char matmul_q3_k_f32_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xbf,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xf1,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xf1,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0xf9,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0x3f,0x03,0x00,0x00,0xc3,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x40,0x03,0x00,0x00,0x3f,0x03,0x00,0x00,
@@ -29326,7 +85099,7 @@ unsigned char matmul_q3_k_f32_fp32_data[] = {
 0x86,0x00,0x00,0x00,0x8d,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x30,0x01,0x00,0x00,0x8f,0x01,0x00,0x00,0x8e,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x30,0x01,0x00,0x00,0x90,0x01,0x00,0x00,
-0x8f,0x01,0x00,0x00,0x81,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x8f,0x01,0x00,0x00,0x91,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x91,0x01,0x00,0x00,0x90,0x01,0x00,0x00,
 0x7c,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x92,0x01,0x00,0x00,
 0x91,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x15,0x00,0x00,0x00,
@@ -29926,12 +85699,12 @@ unsigned char matmul_q4_0_f32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -29965,13 +85738,13 @@ unsigned char matmul_q4_0_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
@@ -30095,7 +85868,7 @@ unsigned char matmul_q4_0_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x13,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x47,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x47,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x4f,0x02,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x95,0x02,0x00,0x00,
 0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x96,0x02,0x00,0x00,
@@ -30814,12 +86587,12 @@ unsigned char matmul_q4_0_f32_aligned_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -30855,12 +86628,12 @@ unsigned char matmul_q4_0_f32_aligned_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -30991,7 +86764,7 @@ unsigned char matmul_q4_0_f32_aligned_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x36,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x6a,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0x72,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0xb8,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xb9,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -31744,13 +87517,13 @@ unsigned char matmul_q4_0_f32_aligned_fp32_data[] = {
 0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
@@ -31785,12 +87558,12 @@ unsigned char matmul_q4_0_f32_aligned_fp32_data[] = {
 0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -31913,7 +87686,7 @@ unsigned char matmul_q4_0_f32_aligned_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x0e,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x40,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x40,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x48,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0x8e,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x8f,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,
@@ -32616,13 +88389,13 @@ unsigned char matmul_q4_0_f32_fp32_data[] = {
 0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
@@ -32656,12 +88429,12 @@ unsigned char matmul_q4_0_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -32783,7 +88556,7 @@ unsigned char matmul_q4_0_f32_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x0e,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x40,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x40,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x48,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0x8e,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x8f,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,
@@ -33494,12 +89267,12 @@ unsigned char matmul_q4_1_f32_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -33533,12 +89306,12 @@ unsigned char matmul_q4_1_f32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -33662,7 +89435,7 @@ unsigned char matmul_q4_1_f32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x18,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x4c,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x4c,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x54,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0x9a,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x9b,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,
@@ -34388,12 +90161,12 @@ unsigned char matmul_q4_1_f32_aligned_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -34428,13 +90201,13 @@ unsigned char matmul_q4_1_f32_aligned_data[] = {
 0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
@@ -34563,7 +90336,7 @@ unsigned char matmul_q4_1_f32_aligned_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x3b,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x6f,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x6f,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x77,0x02,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xbd,0x02,0x00,0x00,
 0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xbe,0x02,0x00,0x00,
@@ -35324,12 +91097,12 @@ unsigned char matmul_q4_1_f32_aligned_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -35365,12 +91138,12 @@ unsigned char matmul_q4_1_f32_aligned_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -35492,7 +91265,7 @@ unsigned char matmul_q4_1_f32_aligned_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x13,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x45,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0x4d,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0x93,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0x94,0x02,0x00,0x00,0x93,0x02,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -36202,12 +91975,12 @@ unsigned char matmul_q4_1_f32_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -36241,13 +92014,13 @@ unsigned char matmul_q4_1_f32_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
@@ -36368,7 +92141,7 @@ unsigned char matmul_q4_1_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x13,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x45,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0x4d,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0x93,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0x94,0x02,0x00,0x00,0x93,0x02,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -37086,12 +92859,12 @@ unsigned char matmul_q4_k_f32_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -37125,12 +92898,12 @@ unsigned char matmul_q4_k_f32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -37265,7 +93038,7 @@ unsigned char matmul_q4_k_f32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7f,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0xbb,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0x01,0x03,0x00,0x00,0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0x02,0x03,0x00,0x00,0x01,0x03,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -37508,7 +93281,7 @@ unsigned char matmul_q4_k_f32_data[] = {
 0x51,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x01,0x00,0x00,
 0x53,0x01,0x00,0x00,0x52,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x19,0x01,0x00,0x00,0x54,0x01,0x00,0x00,0x53,0x01,0x00,0x00,
-0x81,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x19,0x01,0x00,0x00,
+0x91,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x19,0x01,0x00,0x00,
 0x55,0x01,0x00,0x00,0x54,0x01,0x00,0x00,0xa8,0x00,0x00,0x00,
 0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x56,0x01,0x00,0x00,
 0x55,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
@@ -37525,7 +93298,7 @@ unsigned char matmul_q4_k_f32_data[] = {
 0xcf,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x19,0x01,0x00,0x00,0x64,0x01,0x00,0x00,0x63,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x19,0x01,0x00,0x00,0x65,0x01,0x00,0x00,
-0x64,0x01,0x00,0x00,0x81,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
+0x64,0x01,0x00,0x00,0x91,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
 0x19,0x01,0x00,0x00,0x66,0x01,0x00,0x00,0x65,0x01,0x00,0x00,
 0xa8,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,0x19,0x01,0x00,0x00,
 0x67,0x01,0x00,0x00,0x60,0x01,0x00,0x00,0x66,0x01,0x00,0x00,
@@ -38100,12 +93873,12 @@ unsigned char matmul_q4_k_f32_aligned_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -38140,13 +93913,13 @@ unsigned char matmul_q4_k_f32_aligned_data[] = {
 0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
@@ -38285,7 +94058,7 @@ unsigned char matmul_q4_k_f32_aligned_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xd5,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0xdd,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0x23,0x03,0x00,0x00,0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0x24,0x03,0x00,0x00,0x23,0x03,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -38528,7 +94301,7 @@ unsigned char matmul_q4_k_f32_aligned_data[] = {
 0x52,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x1a,0x01,0x00,0x00,
 0x54,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x1a,0x01,0x00,0x00,0x55,0x01,0x00,0x00,0x54,0x01,0x00,0x00,
-0x82,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x1a,0x01,0x00,0x00,
+0x92,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x1a,0x01,0x00,0x00,
 0x56,0x01,0x00,0x00,0x55,0x01,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
 0x56,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
@@ -38545,7 +94318,7 @@ unsigned char matmul_q4_k_f32_aligned_data[] = {
 0xd0,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x1a,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0x64,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x1a,0x01,0x00,0x00,0x66,0x01,0x00,0x00,
-0x65,0x01,0x00,0x00,0x82,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
+0x65,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
 0x1a,0x01,0x00,0x00,0x67,0x01,0x00,0x00,0x66,0x01,0x00,0x00,
 0xa9,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,0x1a,0x01,0x00,0x00,
 0x68,0x01,0x00,0x00,0x61,0x01,0x00,0x00,0x67,0x01,0x00,0x00,
@@ -39155,12 +94928,12 @@ unsigned char matmul_q4_k_f32_aligned_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -39196,12 +94969,12 @@ unsigned char matmul_q4_k_f32_aligned_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -39332,7 +95105,7 @@ unsigned char matmul_q4_k_f32_aligned_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x79,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xab,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xab,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0xf9,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0xfa,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,
@@ -39575,7 +95348,7 @@ unsigned char matmul_q4_k_f32_aligned_fp32_data[] = {
 0xd0,0x00,0x00,0x00,0x51,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x1a,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0x52,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x1a,0x01,0x00,0x00,0x54,0x01,0x00,0x00,
-0x53,0x01,0x00,0x00,0x82,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
+0x53,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
 0x1a,0x01,0x00,0x00,0x55,0x01,0x00,0x00,0x54,0x01,0x00,0x00,
 0xa9,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x56,0x01,0x00,0x00,0x55,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
@@ -39592,7 +95365,7 @@ unsigned char matmul_q4_k_f32_aligned_fp32_data[] = {
 0xfc,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x1a,0x01,0x00,0x00,0x64,0x01,0x00,0x00,
 0x63,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x1a,0x01,0x00,0x00,
-0x65,0x01,0x00,0x00,0x64,0x01,0x00,0x00,0x82,0x00,0x00,0x00,
+0x65,0x01,0x00,0x00,0x64,0x01,0x00,0x00,0x92,0x00,0x00,0x00,
 0xc4,0x00,0x05,0x00,0x1a,0x01,0x00,0x00,0x66,0x01,0x00,0x00,
 0x65,0x01,0x00,0x00,0xa9,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,
 0x1a,0x01,0x00,0x00,0x67,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
@@ -40151,12 +95924,12 @@ unsigned char matmul_q4_k_f32_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -40190,13 +95963,13 @@ unsigned char matmul_q4_k_f32_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
@@ -40327,7 +96100,7 @@ unsigned char matmul_q4_k_f32_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7a,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xfa,0x02,0x00,0x00,
 0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xfb,0x02,0x00,0x00,
@@ -40570,7 +96343,7 @@ unsigned char matmul_q4_k_f32_fp32_data[] = {
 0xfb,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x51,0x01,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x19,0x01,0x00,0x00,0x53,0x01,0x00,0x00,
 0x52,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x19,0x01,0x00,0x00,
-0x54,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0x81,0x00,0x00,0x00,
+0x54,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0x91,0x00,0x00,0x00,
 0xc4,0x00,0x05,0x00,0x19,0x01,0x00,0x00,0x55,0x01,0x00,0x00,
 0x54,0x01,0x00,0x00,0xa8,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x56,0x01,0x00,0x00,0x55,0x01,0x00,0x00,
@@ -40588,7 +96361,7 @@ unsigned char matmul_q4_k_f32_fp32_data[] = {
 0x0c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x01,0x00,0x00,
 0x64,0x01,0x00,0x00,0x63,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x19,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0x64,0x01,0x00,0x00,
-0x81,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x19,0x01,0x00,0x00,
+0x91,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x19,0x01,0x00,0x00,
 0x66,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0xa8,0x00,0x00,0x00,
 0xc5,0x00,0x05,0x00,0x19,0x01,0x00,0x00,0x67,0x01,0x00,0x00,
 0x60,0x01,0x00,0x00,0x66,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
@@ -41152,12 +96925,12 @@ unsigned char matmul_q5_0_f32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -41191,13 +96964,13 @@ unsigned char matmul_q5_0_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
@@ -41328,7 +97101,7 @@ unsigned char matmul_q5_0_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x3c,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x70,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x70,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x78,0x02,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xbe,0x02,0x00,0x00,
 0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xbf,0x02,0x00,0x00,
@@ -42083,12 +97856,12 @@ unsigned char matmul_q5_0_f32_aligned_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -42124,12 +97897,12 @@ unsigned char matmul_q5_0_f32_aligned_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -42267,7 +98040,7 @@ unsigned char matmul_q5_0_f32_aligned_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5f,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x93,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0x9b,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0xe1,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xe2,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -43056,13 +98829,13 @@ unsigned char matmul_q5_0_f32_aligned_fp32_data[] = {
 0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
@@ -43097,12 +98870,12 @@ unsigned char matmul_q5_0_f32_aligned_fp32_data[] = {
 0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -43232,7 +99005,7 @@ unsigned char matmul_q5_0_f32_aligned_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x37,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x69,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x69,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x71,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0xb7,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0xb8,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,
@@ -43971,13 +99744,13 @@ unsigned char matmul_q5_0_f32_fp32_data[] = {
 0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
@@ -44011,12 +99784,12 @@ unsigned char matmul_q5_0_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -44145,7 +99918,7 @@ unsigned char matmul_q5_0_f32_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x37,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x69,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x69,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x71,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0xb7,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0xb8,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,
@@ -44890,13 +100663,13 @@ unsigned char matmul_q5_1_f32_data[] = {
 0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
@@ -44930,12 +100703,12 @@ unsigned char matmul_q5_1_f32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -45062,7 +100835,7 @@ unsigned char matmul_q5_1_f32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x37,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x6b,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0x73,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0xb9,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xba,0x02,0x00,0x00,0xb9,0x02,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -45811,13 +101584,13 @@ unsigned char matmul_q5_1_f32_aligned_data[] = {
 0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
@@ -45852,12 +101625,12 @@ unsigned char matmul_q5_1_f32_aligned_data[] = {
 0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -45990,7 +101763,7 @@ unsigned char matmul_q5_1_f32_aligned_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x5a,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x8e,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x8e,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x96,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0xdc,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0xdd,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,
@@ -46775,12 +102548,12 @@ unsigned char matmul_q5_1_f32_aligned_fp32_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -46815,13 +102588,13 @@ unsigned char matmul_q5_1_f32_aligned_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
@@ -46945,7 +102718,7 @@ unsigned char matmul_q5_1_f32_aligned_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x32,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x64,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x64,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x6c,0x02,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xb2,0x02,0x00,0x00,
 0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xb3,0x02,0x00,0x00,
@@ -47680,12 +103453,12 @@ unsigned char matmul_q5_1_f32_fp32_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -47719,12 +103492,12 @@ unsigned char matmul_q5_1_f32_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -47848,7 +103621,7 @@ unsigned char matmul_q5_1_f32_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x32,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x64,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x64,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x6c,0x02,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xb2,0x02,0x00,0x00,
 0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xb3,0x02,0x00,0x00,
@@ -48592,12 +104365,12 @@ unsigned char matmul_q5_k_f32_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -48631,12 +104404,12 @@ unsigned char matmul_q5_k_f32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -48774,7 +104547,7 @@ unsigned char matmul_q5_k_f32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0xe0,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0x26,0x03,0x00,0x00,0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0x27,0x03,0x00,0x00,0x26,0x03,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -49023,7 +104796,7 @@ unsigned char matmul_q5_k_f32_data[] = {
 0x5c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x01,0x00,0x00,
 0x5e,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x18,0x01,0x00,0x00,0x5f,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,
-0x81,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x18,0x01,0x00,0x00,
+0x91,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x18,0x01,0x00,0x00,
 0x60,0x01,0x00,0x00,0x5f,0x01,0x00,0x00,0xa8,0x00,0x00,0x00,
 0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x61,0x01,0x00,0x00,
 0x60,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
@@ -49040,7 +104813,7 @@ unsigned char matmul_q5_k_f32_data[] = {
 0xcf,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x18,0x01,0x00,0x00,0x6f,0x01,0x00,0x00,0x6e,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x18,0x01,0x00,0x00,0x70,0x01,0x00,0x00,
-0x6f,0x01,0x00,0x00,0x81,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
+0x6f,0x01,0x00,0x00,0x91,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
 0x18,0x01,0x00,0x00,0x71,0x01,0x00,0x00,0x70,0x01,0x00,0x00,
 0xa8,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,0x18,0x01,0x00,0x00,
 0x72,0x01,0x00,0x00,0x6b,0x01,0x00,0x00,0x71,0x01,0x00,0x00,
@@ -49649,12 +105422,12 @@ unsigned char matmul_q5_k_f32_aligned_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -49689,13 +105462,13 @@ unsigned char matmul_q5_k_f32_aligned_data[] = {
 0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
@@ -49837,7 +105610,7 @@ unsigned char matmul_q5_k_f32_aligned_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0x02,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0x48,0x03,0x00,0x00,0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0x49,0x03,0x00,0x00,0x48,0x03,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -50086,7 +105859,7 @@ unsigned char matmul_q5_k_f32_aligned_data[] = {
 0x5d,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x01,0x00,0x00,
 0x5f,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x19,0x01,0x00,0x00,0x60,0x01,0x00,0x00,0x5f,0x01,0x00,0x00,
-0x82,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x19,0x01,0x00,0x00,
+0x92,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x19,0x01,0x00,0x00,
 0x61,0x01,0x00,0x00,0x60,0x01,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x62,0x01,0x00,0x00,
 0x61,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
@@ -50103,7 +105876,7 @@ unsigned char matmul_q5_k_f32_aligned_data[] = {
 0xd0,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x19,0x01,0x00,0x00,0x70,0x01,0x00,0x00,0x6f,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x19,0x01,0x00,0x00,0x71,0x01,0x00,0x00,
-0x70,0x01,0x00,0x00,0x82,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
+0x70,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
 0x19,0x01,0x00,0x00,0x72,0x01,0x00,0x00,0x71,0x01,0x00,0x00,
 0xa9,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,0x19,0x01,0x00,0x00,
 0x73,0x01,0x00,0x00,0x6c,0x01,0x00,0x00,0x72,0x01,0x00,0x00,
@@ -50747,12 +106520,12 @@ unsigned char matmul_q5_k_f32_aligned_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -50788,12 +106561,12 @@ unsigned char matmul_q5_k_f32_aligned_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -50927,7 +106700,7 @@ unsigned char matmul_q5_k_f32_aligned_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x9e,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xd0,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xd0,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0x1e,0x03,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x1f,0x03,0x00,0x00,0x1e,0x03,0x00,0x00,
@@ -51176,7 +106949,7 @@ unsigned char matmul_q5_k_f32_aligned_fp32_data[] = {
 0xd0,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x19,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x19,0x01,0x00,0x00,0x5f,0x01,0x00,0x00,
-0x5e,0x01,0x00,0x00,0x82,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
+0x5e,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
 0x19,0x01,0x00,0x00,0x60,0x01,0x00,0x00,0x5f,0x01,0x00,0x00,
 0xa9,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x61,0x01,0x00,0x00,0x60,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
@@ -51193,7 +106966,7 @@ unsigned char matmul_q5_k_f32_aligned_fp32_data[] = {
 0xfc,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x19,0x01,0x00,0x00,0x6f,0x01,0x00,0x00,
 0x6e,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x19,0x01,0x00,0x00,
-0x70,0x01,0x00,0x00,0x6f,0x01,0x00,0x00,0x82,0x00,0x00,0x00,
+0x70,0x01,0x00,0x00,0x6f,0x01,0x00,0x00,0x92,0x00,0x00,0x00,
 0xc4,0x00,0x05,0x00,0x19,0x01,0x00,0x00,0x71,0x01,0x00,0x00,
 0x70,0x01,0x00,0x00,0xa9,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,
 0x19,0x01,0x00,0x00,0x72,0x01,0x00,0x00,0x6b,0x01,0x00,0x00,
@@ -51787,12 +107560,12 @@ unsigned char matmul_q5_k_f32_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -51826,13 +107599,13 @@ unsigned char matmul_q5_k_f32_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
@@ -51966,7 +107739,7 @@ unsigned char matmul_q5_k_f32_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x1f,0x03,0x00,0x00,
 0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x20,0x03,0x00,0x00,
@@ -52215,7 +107988,7 @@ unsigned char matmul_q5_k_f32_fp32_data[] = {
 0xfb,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x18,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,
 0x5d,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x18,0x01,0x00,0x00,
-0x5f,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,0x81,0x00,0x00,0x00,
+0x5f,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,0x91,0x00,0x00,0x00,
 0xc4,0x00,0x05,0x00,0x18,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
 0x5f,0x01,0x00,0x00,0xa8,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x61,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
@@ -52233,7 +108006,7 @@ unsigned char matmul_q5_k_f32_fp32_data[] = {
 0x0c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x01,0x00,0x00,
 0x6f,0x01,0x00,0x00,0x6e,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x18,0x01,0x00,0x00,0x70,0x01,0x00,0x00,0x6f,0x01,0x00,0x00,
-0x81,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x18,0x01,0x00,0x00,
+0x91,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x18,0x01,0x00,0x00,
 0x71,0x01,0x00,0x00,0x70,0x01,0x00,0x00,0xa8,0x00,0x00,0x00,
 0xc5,0x00,0x05,0x00,0x18,0x01,0x00,0x00,0x72,0x01,0x00,0x00,
 0x6b,0x01,0x00,0x00,0x71,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
@@ -52832,12 +108605,12 @@ unsigned char matmul_q6_k_f32_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -52871,12 +108644,12 @@ unsigned char matmul_q6_k_f32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -53012,7 +108785,7 @@ unsigned char matmul_q6_k_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x68,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xea,0x02,0x00,0x00,
 0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xeb,0x02,0x00,0x00,
@@ -53820,12 +109593,12 @@ unsigned char matmul_q6_k_f32_aligned_data[] = {
 0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -53860,13 +109633,13 @@ unsigned char matmul_q6_k_f32_aligned_data[] = {
 0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
@@ -54005,7 +109778,7 @@ unsigned char matmul_q6_k_f32_aligned_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x89,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xbd,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xbd,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0xc5,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0x0b,0x03,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x0c,0x03,0x00,0x00,0x0b,0x03,0x00,0x00,
@@ -54848,12 +110621,12 @@ unsigned char matmul_q6_k_f32_aligned_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -54889,12 +110662,12 @@ unsigned char matmul_q6_k_f32_aligned_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -55027,7 +110800,7 @@ unsigned char matmul_q6_k_f32_aligned_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x62,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x94,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0x9c,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0xe2,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xe3,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -55819,12 +111592,12 @@ unsigned char matmul_q6_k_f32_fp32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -55858,13 +111631,13 @@ unsigned char matmul_q6_k_f32_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
@@ -55997,7 +111770,7 @@ unsigned char matmul_q6_k_f32_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x63,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x95,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x95,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0xe3,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0xe4,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,
@@ -56788,12 +112561,12 @@ unsigned char matmul_q8_0_f32_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -56827,13 +112600,13 @@ unsigned char matmul_q8_0_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
@@ -56957,7 +112730,7 @@ unsigned char matmul_q8_0_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x14,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
 0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x48,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x48,0x02,0x00,0x00,0x08,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x50,0x02,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x96,0x02,0x00,0x00,
 0xc3,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x97,0x02,0x00,0x00,
@@ -57680,12 +113453,12 @@ unsigned char matmul_q8_0_f32_aligned_data[] = {
 0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
@@ -57721,12 +113494,12 @@ unsigned char matmul_q8_0_f32_aligned_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -57857,7 +113630,7 @@ unsigned char matmul_q8_0_f32_aligned_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x37,0x02,0x00,0x00,
 0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x6b,0x02,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
 0x73,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
 0xb9,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xba,0x02,0x00,0x00,0xb9,0x02,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -58614,13 +114387,13 @@ unsigned char matmul_q8_0_f32_aligned_fp32_data[] = {
 0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
@@ -58655,12 +114428,12 @@ unsigned char matmul_q8_0_f32_aligned_fp32_data[] = {
 0x78,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x78,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x15,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x98,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0xa9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
@@ -58783,7 +114556,7 @@ unsigned char matmul_q8_0_f32_aligned_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x0f,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x41,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x41,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x49,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0x8f,0x02,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x90,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,
@@ -59490,13 +115263,13 @@ unsigned char matmul_q8_0_f32_fp32_data[] = {
 0x3b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
@@ -59530,12 +115303,12 @@ unsigned char matmul_q8_0_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x81,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0xa1,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
@@ -59657,7 +115430,7 @@ unsigned char matmul_q8_0_f32_fp32_data[] = {
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x0f,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
 0x63,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x41,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x41,0x02,0x00,0x00,0x08,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0a,0x00,0x00,0x00,0x49,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x1d,0x00,0x03,0x00,0x8f,0x02,0x00,0x00,0xc3,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x90,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,
@@ -60625,605 +116398,7856 @@ const uint64_t mul_f32_len = 4276;
 
 unsigned char mul_mat_vec_f16_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x09,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x41,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x2c,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x36,0x00,0x00,0x00,
-0x3d,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0xab,0x00,0x00,0x00,
-0xeb,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x12,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x14,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x32,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x36,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3b,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x3b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x3b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3b,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x3b,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x3b,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3b,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x3b,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x3b,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3b,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x3b,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x3b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x6e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa8,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xa9,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x52,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xa9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xa9,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xab,0x00,0x00,0x00,
+0x53,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x53,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x55,0x00,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xab,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xe8,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xe9,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x69,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xb5,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xb6,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xb6,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xb6,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb8,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb8,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xf5,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xf6,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xe9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xe9,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xeb,0x00,0x00,0x00,
+0xf6,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xf6,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xf8,0x00,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xeb,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xf3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xf4,0x00,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x00,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x01,0x01,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
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+0x12,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x14,0x01,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
+0x0e,0x01,0x00,0x00,0x15,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x25,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
+0x19,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
+0x1c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,
+0x1c,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x20,0x01,0x00,0x00,
+0x1e,0x01,0x00,0x00,0x1a,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x25,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x23,0x01,0x00,0x00,0x22,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x24,0x01,0x00,0x00,0x20,0x01,0x00,0x00,
+0x23,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
+0x26,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
+0x26,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x28,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
+0x0a,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x81,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
+0x70,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x82,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x84,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x84,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,
+0x8b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x8d,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
+0x8c,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x86,0x00,0x00,0x00,
+0x85,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x8e,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x85,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x94,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
+0x8b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9c,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
+0x9c,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
+0x95,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x31,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x5a,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
+0x55,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x51,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
+0x32,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x34,0x01,0x00,0x00,0x33,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x5a,0x00,0x00,0x00,
+0x39,0x01,0x00,0x00,0x55,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
+0x38,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0x3a,0x01,0x00,0x00,0x39,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
+0x28,0x01,0x00,0x00,0xa6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x5a,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
+0xbd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0xbf,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
+0xbd,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x5a,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
+0x56,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x51,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
+0xcb,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xcd,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0xcc,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
+0xc0,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x82,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
+0x92,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x84,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x86,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x92,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd8,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x40,0x01,0x00,0x00,0xd7,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0xf0,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
+0x8d,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
+0x6a,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xda,0x00,0x00,0x00,
+0xdb,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xde,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd9,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x8d,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
+0x40,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xe3,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe1,0x00,0x00,0x00,
+0xe2,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x70,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x81,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0x7e,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x82,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe3,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x92,0x00,0x00,0x00,
+0x92,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xdb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdb,0x00,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
+0x40,0x01,0x00,0x00,0xee,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xda,0x00,0x00,0x00,
+0xaa,0x00,0x05,0x00,0x8d,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0x70,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xf4,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xf2,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
+0x6c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x81,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xfe,0x00,0x00,0x00,
+0xff,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0xff,0x00,0x00,0x00,
+0xfd,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_f16_f16_f32_len = 3568;
 
 unsigned char mul_mat_vec_f16_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x07,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x3f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
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+0x91,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
+0x8b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9c,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
+0x9c,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
+0x95,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0x22,0x01,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x2f,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x5a,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0x55,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x51,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0x30,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x5a,0x00,0x00,0x00,
+0x37,0x01,0x00,0x00,0x55,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
+0x36,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0x38,0x01,0x00,0x00,0x37,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
+0x26,0x01,0x00,0x00,0xa6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xbe,0x00,0x00,0x00,
+0xbf,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
+0xbd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xc0,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xbe,0x00,0x00,0x00,
+0xca,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
+0xcb,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0xcd,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0x32,0x01,0x00,0x00,0xc0,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x82,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x84,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x86,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x92,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd7,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd7,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
+0xac,0x00,0x05,0x00,0x8d,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
+0x3e,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xd9,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xdd,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
+0xd9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd8,0x00,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x8d,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0x70,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xe2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xe0,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
+0x3e,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x81,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0xe8,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x82,0x00,0x00,0x00,
+0xeb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x92,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xda,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xda,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xef,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,0xed,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd9,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0x8d,0x00,0x00,0x00,
+0xf1,0x00,0x00,0x00,0x70,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xf3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xf1,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0xf3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf2,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0x2a,0x01,0x00,0x00,0x6c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x81,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
+0x56,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xbe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0x56,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_f16_f32_f32_len = 3536;
 
+unsigned char mul_mat_vec_f32_f16_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x3d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
+0x6b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x51,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x52,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x52,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x52,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x54,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x54,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x66,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x78,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xb3,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xb4,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xb4,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xb4,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb6,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb6,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xf4,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xf5,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xf5,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xf7,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xf7,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
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+0x30,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x35,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x59,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
+0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x37,0x01,0x00,0x00,
+0x36,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb9,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0xa3,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
+0xb9,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xbc,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xb2,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0xbc,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
+0xb6,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xb2,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0x37,0x01,0x00,0x00,
+0xcb,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0xcd,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0x31,0x01,0x00,0x00,0xbf,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
+0x7f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x7f,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
+0x3b,0x01,0x00,0x00,0x8f,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x81,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x83,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x8f,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd7,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd7,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x83,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
+0xac,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x67,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xd9,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xdd,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
+0xd9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd8,0x00,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xe2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xe0,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0xe8,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x7f,0x00,0x00,0x00,
+0xeb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x8f,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xda,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xda,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xef,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0xed,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd9,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,
+0xf1,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xf3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xf1,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0xf3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf2,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0x2a,0x01,0x00,0x00,0x69,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x7e,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x59,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_f32_f16_f32_len = 3536;
+
+unsigned char mul_mat_vec_f32_f32_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x39,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0xb5,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x20,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x52,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x52,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x52,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x54,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x66,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x6b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb2,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xb3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xb3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xb3,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb5,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xb5,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xf0,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xf1,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xf1,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xf1,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xf3,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xf3,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xfb,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
+0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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+0x0e,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,0xbc,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xcb,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x7f,0x00,0x00,0x00,
+0xcc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcf,0x00,0x00,0x00,0x37,0x01,0x00,0x00,0x8f,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x81,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x83,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x8f,0x00,0x00,0x00,
+0x8f,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd3,0x00,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x83,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0xd6,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,
+0xd9,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x67,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xd5,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xd9,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd4,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,
+0xdc,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xde,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xdc,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
+0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x7e,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0xe2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xe4,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
+0xe6,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x7f,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x8f,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd6,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd6,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
+0xe9,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd3,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd5,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
+0x8a,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x67,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xef,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xed,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xee,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf6,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x69,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x59,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
+0xf3,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xf9,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xef,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xef,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t mul_mat_vec_f32_f32_f32_len = 3468;
+
+unsigned char mul_mat_vec_id_f16_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x1b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0xa7,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x23,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x43,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x43,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x43,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x45,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x45,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x58,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x5d,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x6a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xa5,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xa5,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xa5,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa7,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xe3,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xe4,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xe4,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xe4,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xe6,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xe6,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xed,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xee,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
+0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x20,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x22,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x22,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x1e,0x00,0x0b,0x00,0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x2c,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x2f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x34,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
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+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd0,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd5,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x70,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xda,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x71,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd1,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x81,0x00,0x00,0x00,
+0x81,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x00,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
+0x1a,0x01,0x00,0x00,0xdc,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc8,0x00,0x00,0x00,
+0xaa,0x00,0x05,0x00,0x7c,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0x5f,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xe2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xe0,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
+0x5b,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x70,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xad,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0xe9,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0xec,0x00,0x00,0x00,
+0xeb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_id_f16_f32_len = 3460;
+
+unsigned char mul_mat_vec_id_f32_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x15,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,
+0x6a,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x2b,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x41,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x42,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x42,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x55,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x5a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x67,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa1,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xa2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xa2,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xdf,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xe0,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xe0,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xe0,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xe2,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xe2,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xe9,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xea,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x22,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x22,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,0x2b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x34,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x41,0x00,0x00,0x00,
+0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x42,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x43,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x48,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x0e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x67,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x68,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x69,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x68,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x69,0x00,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x6d,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x0e,0x00,0x00,0x00,0x14,0x00,0x02,0x00,0x79,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
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+0x48,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xe8,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_id_f32_f32_len = 3392;
+
+unsigned char mul_mat_vec_id_q2_K_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x14,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x23,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3a,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x55,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x98,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x9a,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x9e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x9f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x9f,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x9f,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa1,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa1,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xbb,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xbc,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0xbc,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xbe,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbe,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xe8,0x02,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xe9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xe9,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0xe9,0x02,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xeb,0x02,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xeb,0x02,0x00,0x00,
+0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xf2,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x10,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x13,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x17,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x19,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x17,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x17,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,0x23,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x17,0x00,0x00,0x00,0x26,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x17,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0x00,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x58,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x60,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x6b,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x79,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,0x79,0x00,0x00,0x00,
+0x6b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x7a,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x83,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x79,0x00,0x00,0x00,
+0x14,0x00,0x02,0x00,0x8e,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x97,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x98,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
+0x7d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x99,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x9a,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x9b,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x9c,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x1e,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,
+0x98,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x9f,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0xa0,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x9f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xa0,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0xa5,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0xbb,0x00,0x00,0x00,0x79,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0xbc,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0xbd,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xbc,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xbd,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0xc6,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x79,0x00,0x00,0x00,
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+0xc7,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xb1,0x02,0x00,0x00,
+0xb0,0x02,0x00,0x00,0xd3,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,0xb1,0x02,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x79,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,
+0xb2,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,0x81,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,0x10,0x03,0x00,0x00,
+0xb4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0xb8,0x02,0x00,0x00,0x0e,0x03,0x00,0x00,0xda,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb6,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0xc2,0x02,0x00,0x00,0xaf,0x00,0x00,0x00,0x10,0x03,0x00,0x00,
+0x7f,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x13,0x03,0x00,0x00,
+0xc2,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,0x79,0x00,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xa8,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,0x13,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0xc5,0x02,0x00,0x00,
+0x84,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0xc6,0x02,0x00,0x00,0xc5,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x84,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8a,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc9,0x02,0x00,0x00,0x0b,0x03,0x00,0x00,0x58,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x87,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x89,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x58,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0xca,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcc,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xcc,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,
+0x7d,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xac,0x00,0x05,0x00,0x8e,0x00,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x0c,0x03,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xce,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xd2,0x02,0x00,0x00,
+0xcd,0x02,0x00,0x00,0xce,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcd,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x8e,0x00,0x00,0x00,
+0xd5,0x02,0x00,0x00,0x59,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xd7,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xd5,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xd6,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,
+0x59,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x83,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0x7c,0x00,0x00,0x00,
+0xdb,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0xdd,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x83,0x00,0x00,0x00,0xde,0x02,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0xdf,0x02,0x00,0x00,0xde,0x02,0x00,0x00,0x81,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0xe0,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xde,0x02,0x00,0x00,
+0xe0,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xd7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd7,0x02,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x58,0x00,0x00,0x00,0x58,0x00,0x00,0x00,0xca,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xcf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcf,0x02,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe3,0x02,0x00,0x00,0x0c,0x03,0x00,0x00,0xda,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xcc,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xce,0x02,0x00,0x00,0xaa,0x00,0x05,0x00,0x8e,0x00,0x00,0x00,
+0xe5,0x02,0x00,0x00,0x59,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xe7,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe5,0x02,0x00,0x00,0xe6,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe6,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x02,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x3d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x83,0x00,0x00,0x00,0xef,0x02,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0xf0,0x02,0x00,0x00,0xef,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0xc6,0x00,0x00,0x00,0xf1,0x02,0x00,0x00,0xeb,0x02,0x00,0x00,
+0x1c,0x00,0x00,0x00,0xee,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xf1,0x02,0x00,0x00,0xf0,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe7,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_id_q2_K_f32_len = 8264;
+
+unsigned char mul_mat_vec_id_q3_K_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x5c,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
+0xac,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,0x37,0x03,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x23,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3a,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x55,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa6,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xa8,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xa8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xa8,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x60,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xa8,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xaa,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0xaa,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xac,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xac,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xbe,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xbf,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xbf,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0xbf,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc1,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc1,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x34,0x03,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x35,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x35,0x03,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x37,0x03,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x37,0x03,0x00,0x00,
+0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3e,0x03,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
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+0xc7,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0xc9,0x00,0x00,0x00,0xc3,0x02,0x00,0x00,0xc1,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0xc2,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x81,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,
+0x41,0x00,0x08,0x00,0xcf,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,
+0xac,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0xc8,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x67,0x00,0x00,0x00,0xca,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x67,0x00,0x00,0x00,0xcc,0x02,0x00,0x00,
+0xca,0x02,0x00,0x00,0x6d,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,0xcc,0x02,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0xce,0x02,0x00,0x00,
+0xcd,0x02,0x00,0x00,0xc7,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xce,0x02,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x67,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,
+0x3f,0x02,0x00,0x00,0xc2,0x00,0x05,0x00,0x67,0x00,0x00,0x00,
+0xd7,0x02,0x00,0x00,0xd4,0x02,0x00,0x00,0x6a,0x01,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,
+0xd7,0x02,0x00,0x00,0x7c,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0xd9,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0xda,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,
+0x35,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0xdb,0x02,0x00,0x00,0xda,0x02,0x00,0x00,0x26,0x00,0x00,0x00,
+0xc5,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,0x72,0x00,0x04,0x00,
+0x6f,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,
+0x72,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0xde,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0x82,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0xdf,0x02,0x00,0x00,0xde,0x02,0x00,0x00,0xe7,0x00,0x00,0x00,
+0x6f,0x00,0x04,0x00,0x81,0x00,0x00,0x00,0xe0,0x02,0x00,0x00,
+0xdf,0x02,0x00,0x00,0x85,0x00,0x05,0x00,0x81,0x00,0x00,0x00,
+0xe1,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x67,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,
+0x0d,0x02,0x00,0x00,0xc2,0x00,0x05,0x00,0x67,0x00,0x00,0x00,
+0xec,0x02,0x00,0x00,0xeb,0x02,0x00,0x00,0xa4,0x01,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xed,0x02,0x00,0x00,
+0xec,0x02,0x00,0x00,0x7c,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0xee,0x02,0x00,0x00,0xed,0x02,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0xef,0x02,0x00,0x00,0xee,0x02,0x00,0x00,
+0x35,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x67,0x00,0x00,0x00,
+0xf9,0x02,0x00,0x00,0x1a,0x02,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x67,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,
+0xd5,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xfd,0x02,0x00,0x00,0xfc,0x02,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x17,0x00,0x00,0x00,0xfe,0x02,0x00,0x00,0xfd,0x02,0x00,0x00,
+0xab,0x00,0x05,0x00,0x99,0x00,0x00,0x00,0xff,0x02,0x00,0x00,
+0xfe,0x02,0x00,0x00,0x1c,0x00,0x00,0x00,0xa9,0x00,0x06,0x00,
+0x17,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0xff,0x02,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x26,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0x01,0x03,0x00,0x00,0xef,0x02,0x00,0x00,
+0x00,0x03,0x00,0x00,0x6f,0x00,0x04,0x00,0x81,0x00,0x00,0x00,
+0x02,0x03,0x00,0x00,0x01,0x03,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x81,0x00,0x00,0x00,0x04,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,0x02,0x03,0x00,0x00,
+0xba,0x02,0x00,0x00,0x81,0x00,0x05,0x00,0x81,0x00,0x00,0x00,
+0x06,0x03,0x00,0x00,0x5b,0x03,0x00,0x00,0x04,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x08,0x03,0x00,0x00,
+0x5a,0x03,0x00,0x00,0x6a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xb9,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x81,0x00,0x00,0x00,0x11,0x03,0x00,0x00,
+0x8c,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x81,0x00,0x00,0x00,
+0x12,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xb3,0x00,0x00,0x00,0x5b,0x03,0x00,0x00,0x11,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x8c,0x00,0x00,0x00,0x12,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x95,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x95,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x15,0x03,0x00,0x00,0x57,0x03,0x00,0x00,0x58,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x92,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x94,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x58,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x16,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x18,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x18,0x03,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x58,0x03,0x00,0x00,
+0x85,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x2f,0x03,0x00,0x00,
+0x1b,0x03,0x00,0x00,0xac,0x00,0x05,0x00,0x99,0x00,0x00,0x00,
+0x1e,0x03,0x00,0x00,0x58,0x03,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x1a,0x03,0x00,0x00,0x1b,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x1e,0x03,0x00,0x00,
+0x19,0x03,0x00,0x00,0x1a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x19,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,0x99,0x00,0x00,0x00,
+0x21,0x03,0x00,0x00,0x59,0x00,0x00,0x00,0x58,0x03,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x23,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x21,0x03,0x00,0x00,0x22,0x03,0x00,0x00,
+0x23,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x22,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x27,0x03,0x00,0x00,
+0x59,0x00,0x00,0x00,0x58,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0x28,0x03,0x00,0x00,0x84,0x00,0x00,0x00,
+0x27,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x81,0x00,0x00,0x00,
+0x29,0x03,0x00,0x00,0x28,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0x2a,0x03,0x00,0x00,0x84,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x81,0x00,0x00,0x00,
+0x2b,0x03,0x00,0x00,0x2a,0x03,0x00,0x00,0x81,0x00,0x05,0x00,
+0x81,0x00,0x00,0x00,0x2c,0x03,0x00,0x00,0x2b,0x03,0x00,0x00,
+0x29,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x2a,0x03,0x00,0x00,
+0x2c,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x23,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x23,0x03,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x58,0x00,0x00,0x00,0x58,0x00,0x00,0x00,0x16,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x1b,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1b,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x2f,0x03,0x00,0x00,0x58,0x03,0x00,0x00,0x6a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x18,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1a,0x03,0x00,0x00,0xaa,0x00,0x05,0x00,0x99,0x00,0x00,0x00,
+0x31,0x03,0x00,0x00,0x59,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x33,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x31,0x03,0x00,0x00,0x32,0x03,0x00,0x00,
+0x33,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x32,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3a,0x03,0x00,0x00,
+0x56,0x03,0x00,0x00,0x3d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0x3b,0x03,0x00,0x00,0x84,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x81,0x00,0x00,0x00,
+0x3c,0x03,0x00,0x00,0x3b,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0xc9,0x00,0x00,0x00,0x3d,0x03,0x00,0x00,0x37,0x03,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x3a,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x3d,0x03,0x00,0x00,0x3c,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x33,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x33,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_id_q3_K_f32_len = 9872;
+
+unsigned char mul_mat_vec_id_q4_0_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x3d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x72,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
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+0x86,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x86,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x88,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x88,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x39,0x01,0x00,0x00,0x6e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0xd7,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x2f,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x8f,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
+0x7f,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x91,0x00,0x00,0x00,
+0x92,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x90,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x92,0x00,0x00,0x00,
+0x89,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x89,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x95,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x7f,0x00,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
+0x96,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
+0x98,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x70,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa5,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
+0xa5,0x00,0x00,0x00,0x96,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xab,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
+0xa5,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xaf,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0xa1,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,
+0xaf,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x41,0x00,0x07,0x00,
+0x4f,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x24,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x43,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
+0x22,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x24,0x01,0x00,0x00,0x23,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
+0x59,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x57,0x00,0x00,0x00,
+0xa6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,
+0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
+0x2b,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0x2b,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x31,0x01,0x00,0x00,0x30,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
+0x2e,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x83,0x00,0x05,0x00,
+0x0f,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x36,0x01,0x00,0x00,0x34,0x01,0x00,0x00,0x24,0x01,0x00,0x00,
+0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
+0x36,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
+0xab,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc1,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0xc2,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
+0xbc,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
+0xc3,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xc7,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
+0xc1,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xc2,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xc7,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x0e,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xd3,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
+0xd1,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x86,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd7,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x96,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x88,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8a,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
+0x96,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xdb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdb,0x00,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,
+0xda,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0xde,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0x91,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x6e,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xdd,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe1,0x00,0x00,0x00,
+0xdc,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xdc,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x91,0x00,0x00,0x00,
+0xe4,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xe6,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe4,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
+0xe6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe5,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0x74,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x85,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x86,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe6,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x96,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
+0xd8,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,
+0x57,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xdb,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
+0x91,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
+0x6e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xf6,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf4,0x00,0x00,0x00,
+0xf5,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xfd,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0x70,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x85,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0xc2,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x00,0x01,0x00,0x00,0xff,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf6,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t mul_mat_vec_id_q4_0_f32_len = 3852;
+
+unsigned char mul_mat_vec_id_q4_1_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x4a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
+0x79,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
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+0x2d,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,
+0x1a,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x2f,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
+0x3d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x20,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0x8d,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x8d,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8f,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8f,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x48,0x01,0x00,0x00,0x75,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0xde,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x2f,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x96,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x98,0x00,0x00,0x00,
+0x99,0x00,0x00,0x00,0x48,0x01,0x00,0x00,0x97,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x91,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x99,0x00,0x00,0x00,
+0x90,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x90,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9c,0x00,0x00,0x00,0x48,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
+0x9d,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
+0x9f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa5,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
+0xa5,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
+0xa8,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xac,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xad,0x00,0x00,0x00,
+0xac,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
+0xac,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb6,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0xa8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
+0xb6,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x41,0x00,0x07,0x00,
+0x4f,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x24,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x43,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,
+0x2a,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x2c,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x41,0x00,0x07,0x00,
+0x4f,0x00,0x00,0x00,0x30,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x57,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x43,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0x30,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
+0x60,0x00,0x00,0x00,0x37,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x38,0x00,0x00,0x00,
+0xad,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x38,0x01,0x00,0x00,0x37,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
+0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
+0x39,0x01,0x00,0x00,0x65,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x39,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
+0x0f,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x40,0x01,0x00,0x00,
+0x2c,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x44,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
+0x42,0x01,0x00,0x00,0x44,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc6,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0xb2,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0xc6,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xc9,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
+0x45,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc9,0x00,0x00,0x00,
+0xd5,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xd6,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
+0xd6,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0xd8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xbf,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
+0x8d,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xdb,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x8d,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
+0x48,0x01,0x00,0x00,0x9d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8f,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x91,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x49,0x01,0x00,0x00,0xe1,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
+0xac,0x00,0x05,0x00,0x98,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0x49,0x01,0x00,0x00,0x75,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xe4,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe8,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,
+0xe4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe3,0x00,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x98,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x49,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xed,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xeb,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xec,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x49,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xf2,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
+0xf2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xf5,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
+0xf3,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x8d,0x00,0x00,0x00,
+0xf6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xed,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe5,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf9,0x00,0x00,0x00,0x49,0x01,0x00,0x00,0x57,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe4,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0x98,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xfd,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xfb,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
+0xfd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfc,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0x21,0x01,0x00,0x00,0x77,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x89,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x06,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0xc9,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x01,0x01,0x00,0x00,
+0x24,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x07,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xfd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_id_q4_1_f32_len = 3920;
+
+unsigned char mul_mat_vec_id_q4_K_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xc7,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
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+0x3d,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x96,0x03,0x00,0x00,
+0x95,0x03,0x00,0x00,0x81,0x00,0x05,0x00,0x7f,0x00,0x00,0x00,
+0x97,0x03,0x00,0x00,0x96,0x03,0x00,0x00,0x94,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x95,0x03,0x00,0x00,0x97,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8e,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8e,0x03,0x00,0x00,0xe0,0x00,0x04,0x00,0x58,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x81,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x86,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x86,0x03,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x03,0x00,0x00,
+0xc3,0x03,0x00,0x00,0xbf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x83,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x85,0x03,0x00,0x00,
+0xaa,0x00,0x05,0x00,0x94,0x00,0x00,0x00,0x9c,0x03,0x00,0x00,
+0x59,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x9e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x9c,0x03,0x00,0x00,0x9d,0x03,0x00,0x00,0x9e,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x9d,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa5,0x03,0x00,0x00,0xc1,0x03,0x00,0x00,
+0x3d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x89,0x00,0x00,0x00,
+0xa6,0x03,0x00,0x00,0x82,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0xa7,0x03,0x00,0x00,
+0xa6,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0x22,0x02,0x00,0x00,
+0xa8,0x03,0x00,0x00,0xa2,0x03,0x00,0x00,0x1c,0x00,0x00,0x00,
+0xa5,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0xa8,0x03,0x00,0x00,
+0xa7,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x9e,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x9e,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_id_q4_K_f32_len = 9796;
+
+unsigned char mul_mat_vec_id_q5_0_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x91,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
+0xa0,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x27,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x46,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x49,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x4c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x9c,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa0,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xe6,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xe7,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xe7,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xe7,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xe9,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xe9,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x24,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x25,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x25,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x25,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x27,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x27,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2f,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x20,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x21,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x22,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x22,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,
+0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x2c,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x3d,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x43,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x46,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x47,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x49,0x00,0x00,0x00,
+0x47,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x1e,0x00,0x05,0x00,
+0x4a,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
+0x49,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x4b,0x00,0x00,0x00,
+0x4a,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x4c,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x4d,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x52,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
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+0x81,0x01,0x00,0x00,0x6d,0x01,0x00,0x00,0xc5,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x82,0x01,0x00,0x00,0x7e,0x01,0x00,0x00,
+0x81,0x01,0x00,0x00,0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x83,0x01,0x00,0x00,0x82,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
+0x0f,0x00,0x00,0x00,0x84,0x01,0x00,0x00,0x7c,0x01,0x00,0x00,
+0x83,0x01,0x00,0x00,0x83,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x86,0x01,0x00,0x00,0x84,0x01,0x00,0x00,0x90,0x01,0x00,0x00,
+0x8e,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x88,0x01,0x00,0x00,
+0x86,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x88,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0x43,0x01,0x00,0x00,0xd8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xef,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
+0x88,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0x48,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xef,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xe5,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
+0xb4,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xb4,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0x8d,0x01,0x00,0x00,0x45,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xb8,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x45,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x08,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x08,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x8e,0x01,0x00,0x00,0x07,0x01,0x00,0x00,
+0xb8,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
+0xac,0x00,0x05,0x00,0xbf,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x8e,0x01,0x00,0x00,0x85,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x0a,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x0e,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
+0x0a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x09,0x01,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xbf,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
+0xa2,0x00,0x00,0x00,0x8e,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x13,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x11,0x01,0x00,0x00,0x12,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x12,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0xa2,0x00,0x00,0x00,
+0x8e,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xb3,0x00,0x00,0x00,
+0x18,0x01,0x00,0x00,0xb0,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
+0x18,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x1b,0x01,0x00,0x00,0xb4,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
+0x19,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xb4,0x00,0x00,0x00,
+0x1c,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x13,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x13,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x45,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x0b,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0b,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1f,0x01,0x00,0x00,0x8e,0x01,0x00,0x00,0x5a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0a,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0xbf,0x00,0x00,0x00,
+0x21,0x01,0x00,0x00,0xa2,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x23,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x21,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
+0x23,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x22,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
+0x47,0x01,0x00,0x00,0x9e,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0xb3,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0xb0,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x2c,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0xef,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
+0x24,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x2d,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x23,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x23,0x01,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_id_q5_0_f32_len = 4364;
+
+unsigned char mul_mat_vec_id_q5_1_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x89,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
+0x22,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x46,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x47,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x47,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x47,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x47,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x48,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x49,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x49,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x49,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4b,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x96,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x9a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xe1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xe2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xe2,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0xe2,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xe4,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xe4,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1f,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x20,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x20,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x22,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
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+0x37,0x01,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0xd7,0x00,0x00,0x00,
+0xca,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x4f,0x00,0x00,0x00,
+0x4d,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x43,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,
+0x4e,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x4f,0x00,0x00,0x00,
+0x53,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x57,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x43,0x00,0x00,0x00,0x54,0x01,0x00,0x00,0x53,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
+0x54,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x5f,0x00,0x00,0x00,
+0x59,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x59,0x01,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,
+0x5a,0x01,0x00,0x00,0xce,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,
+0x2e,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5f,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,0x45,0x00,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
+0x5f,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x63,0x01,0x00,0x00,0xce,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x64,0x01,0x00,0x00,
+0x5a,0x01,0x00,0x00,0x63,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0x64,0x01,0x00,0x00,
+0x45,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x66,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
+0x78,0x00,0x00,0x00,0x6c,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0x3d,0x00,0x00,0x00,
+0xce,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x6d,0x01,0x00,0x00,0x6c,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x6e,0x01,0x00,0x00,0x6d,0x01,0x00,0x00,
+0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x70,0x01,0x00,0x00,
+0x6e,0x01,0x00,0x00,0x7d,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x73,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
+0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x74,0x01,0x00,0x00,
+0x70,0x01,0x00,0x00,0x73,0x01,0x00,0x00,0x70,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x75,0x01,0x00,0x00,0x74,0x01,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x77,0x01,0x00,0x00,
+0x6e,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x7a,0x01,0x00,0x00,0x66,0x01,0x00,0x00,
+0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7b,0x01,0x00,0x00,
+0x77,0x01,0x00,0x00,0x7a,0x01,0x00,0x00,0x70,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x7c,0x01,0x00,0x00,0x7b,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x7d,0x01,0x00,0x00,
+0x75,0x01,0x00,0x00,0x7c,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
+0x0f,0x00,0x00,0x00,0x7f,0x01,0x00,0x00,0x7d,0x01,0x00,0x00,
+0x4f,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x81,0x01,0x00,0x00,0x55,0x01,0x00,0x00,0x55,0x01,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x82,0x01,0x00,0x00,
+0x7f,0x01,0x00,0x00,0x81,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x82,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,0xd3,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xea,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
+0x82,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xea,0x00,0x00,0x00,
+0xf6,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0xf5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0xf9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xe0,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0xae,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xae,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
+0x87,0x01,0x00,0x00,0xbe,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xb2,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0xbe,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
+0x00,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x03,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x03,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x88,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
+0xb2,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0x06,0x01,0x00,0x00,
+0xac,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,0x09,0x01,0x00,0x00,
+0x88,0x01,0x00,0x00,0x7f,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x09,0x01,0x00,0x00,0x04,0x01,0x00,0x00,
+0x05,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x04,0x01,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x9c,0x00,0x00,0x00,0x88,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x0c,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x0d,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,0x9c,0x00,0x00,0x00,
+0x88,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xad,0x00,0x00,0x00,
+0x13,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
+0x13,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x16,0x01,0x00,0x00,0xae,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
+0x14,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xae,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x0e,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x0e,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
+0xbe,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x06,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x06,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1a,0x01,0x00,0x00,0x88,0x01,0x00,0x00,0x57,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x03,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x05,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,
+0x1c,0x01,0x00,0x00,0x9c,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x1e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x1c,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,
+0x1e,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1d,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
+0x42,0x01,0x00,0x00,0x98,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0xad,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x27,0x01,0x00,0x00,0x26,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0xea,0x00,0x00,0x00,0x28,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
+0x24,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x28,0x01,0x00,0x00,0x27,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x1e,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1e,0x01,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_id_q5_1_f32_len = 4244;
+
+unsigned char mul_mat_vec_id_q5_K_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xb2,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
+0xb8,0x00,0x00,0x00,0x28,0x02,0x00,0x00,0x8d,0x04,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
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+0x24,0x04,0x00,0x00,0x70,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0x27,0x04,0x00,0x00,0x55,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x8c,0x00,0x00,0x00,0x29,0x04,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x25,0x04,0x00,0x00,0x27,0x04,0x00,0x00,
+0x0b,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0x2f,0x04,0x00,0x00,0x69,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0x35,0x04,0x00,0x00,0x82,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0x36,0x04,0x00,0x00,
+0x2f,0x04,0x00,0x00,0x35,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0x3c,0x04,0x00,0x00,0x9d,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0x3d,0x04,0x00,0x00,
+0x36,0x04,0x00,0x00,0x3c,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0x43,0x04,0x00,0x00,0xb8,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0x44,0x04,0x00,0x00,
+0x3d,0x04,0x00,0x00,0x43,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0x46,0x04,0x00,0x00,0x71,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x8c,0x00,0x00,0x00,0x48,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x44,0x04,0x00,0x00,
+0x46,0x04,0x00,0x00,0x29,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0x50,0x04,0x00,0x00,0xd5,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,0x54,0x04,0x00,0x00,
+0xe3,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0x55,0x04,0x00,0x00,0xfd,0x02,0x00,0x00,0x54,0x04,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x8c,0x00,0x00,0x00,0x56,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x8f,0x02,0x00,0x00,
+0x50,0x04,0x00,0x00,0x55,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0x59,0x04,0x00,0x00,0x1d,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x8c,0x00,0x00,0x00,0x5b,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x63,0x03,0x00,0x00,
+0x59,0x04,0x00,0x00,0x56,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0x5e,0x04,0x00,0x00,0x39,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x8c,0x00,0x00,0x00,0x60,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xce,0x03,0x00,0x00,
+0x5e,0x04,0x00,0x00,0x5b,0x04,0x00,0x00,0x85,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0x64,0x04,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x48,0x04,0x00,0x00,0x7f,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0xb1,0x04,0x00,0x00,0x64,0x04,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x8c,0x00,0x00,0x00,0x65,0x04,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x60,0x04,0x00,0x00,
+0xb1,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0x67,0x04,0x00,0x00,0x97,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0x68,0x04,0x00,0x00,0x67,0x04,0x00,0x00,
+0x65,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0x97,0x00,0x00,0x00,
+0x68,0x04,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x6b,0x04,0x00,0x00,0xad,0x04,0x00,0x00,0x58,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9a,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9c,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x58,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x6c,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x6e,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x6e,0x04,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xae,0x04,0x00,0x00,
+0x90,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,0x85,0x04,0x00,0x00,
+0x71,0x04,0x00,0x00,0xac,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,
+0x74,0x04,0x00,0x00,0xae,0x04,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x70,0x04,0x00,0x00,0x71,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x74,0x04,0x00,0x00,
+0x6f,0x04,0x00,0x00,0x70,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6f,0x04,0x00,0x00,0xb0,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,
+0x77,0x04,0x00,0x00,0x59,0x00,0x00,0x00,0xae,0x04,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x79,0x04,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x77,0x04,0x00,0x00,0x78,0x04,0x00,0x00,
+0x79,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x78,0x04,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7d,0x04,0x00,0x00,
+0x59,0x00,0x00,0x00,0xae,0x04,0x00,0x00,0x41,0x00,0x05,0x00,
+0x96,0x00,0x00,0x00,0x7e,0x04,0x00,0x00,0x8f,0x00,0x00,0x00,
+0x7d,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0x7f,0x04,0x00,0x00,0x7e,0x04,0x00,0x00,0x41,0x00,0x05,0x00,
+0x96,0x00,0x00,0x00,0x80,0x04,0x00,0x00,0x8f,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0x81,0x04,0x00,0x00,0x80,0x04,0x00,0x00,0x81,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0x82,0x04,0x00,0x00,0x81,0x04,0x00,0x00,
+0x7f,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0x80,0x04,0x00,0x00,
+0x82,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,0x79,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x79,0x04,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x58,0x00,0x00,0x00,0x58,0x00,0x00,0x00,0x6c,0x04,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x71,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x71,0x04,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x85,0x04,0x00,0x00,0xae,0x04,0x00,0x00,0x82,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x6e,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x70,0x04,0x00,0x00,0xaa,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,
+0x87,0x04,0x00,0x00,0x59,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x89,0x04,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x87,0x04,0x00,0x00,0x88,0x04,0x00,0x00,
+0x89,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x88,0x04,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x90,0x04,0x00,0x00,
+0xac,0x04,0x00,0x00,0x3d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x96,0x00,0x00,0x00,0x91,0x04,0x00,0x00,0x8f,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0x92,0x04,0x00,0x00,0x91,0x04,0x00,0x00,0x41,0x00,0x06,0x00,
+0x2c,0x02,0x00,0x00,0x93,0x04,0x00,0x00,0x8d,0x04,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x90,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x93,0x04,0x00,0x00,0x92,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x89,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x89,0x04,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_id_q5_K_f32_len = 12668;
+
+unsigned char mul_mat_vec_id_q6_K_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xf1,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
+0xad,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,0xd3,0x01,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x23,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3a,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x55,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa5,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa7,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xa9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xa9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xa9,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xa9,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xaa,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xab,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xab,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0xab,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,
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+0x41,0x00,0x06,0x00,0xca,0x00,0x00,0x00,0x99,0x03,0x00,0x00,
+0xc2,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x98,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x85,0x00,0x00,0x00,0x9a,0x03,0x00,0x00,
+0x99,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,
+0x9e,0x03,0x00,0x00,0x42,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x85,0x00,0x00,0x00,0x9f,0x03,0x00,0x00,0x9e,0x03,0x00,0x00,
+0x85,0x00,0x05,0x00,0x85,0x00,0x00,0x00,0xa0,0x03,0x00,0x00,
+0x9a,0x03,0x00,0x00,0x9f,0x03,0x00,0x00,0x85,0x00,0x05,0x00,
+0x85,0x00,0x00,0x00,0xa1,0x03,0x00,0x00,0xa0,0x03,0x00,0x00,
+0xb4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,
+0xa7,0x03,0x00,0x00,0x59,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,
+0xa3,0x00,0x00,0x00,0xa8,0x03,0x00,0x00,0xa7,0x03,0x00,0x00,
+0x26,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xa9,0x03,0x00,0x00,0xa8,0x03,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x17,0x00,0x00,0x00,0xaa,0x03,0x00,0x00,0xa9,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,0xaf,0x03,0x00,0x00,
+0x61,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,0xa3,0x00,0x00,0x00,
+0xb0,0x03,0x00,0x00,0xaf,0x03,0x00,0x00,0x26,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xb1,0x03,0x00,0x00,
+0xb0,0x03,0x00,0x00,0x7c,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0xb2,0x03,0x00,0x00,0xb1,0x03,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0xb3,0x03,0x00,0x00,0xb2,0x03,0x00,0x00,
+0x35,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0xb4,0x03,0x00,0x00,0xb3,0x03,0x00,0x00,0x26,0x00,0x00,0x00,
+0xc5,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xb5,0x03,0x00,0x00,
+0xaa,0x03,0x00,0x00,0xb4,0x03,0x00,0x00,0x72,0x00,0x04,0x00,
+0xa6,0x00,0x00,0x00,0xb6,0x03,0x00,0x00,0xb5,0x03,0x00,0x00,
+0x72,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0xb7,0x03,0x00,0x00,
+0xb6,0x03,0x00,0x00,0x82,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0xb8,0x03,0x00,0x00,0xb7,0x03,0x00,0x00,0xfa,0x00,0x00,0x00,
+0x6f,0x00,0x04,0x00,0x85,0x00,0x00,0x00,0xb9,0x03,0x00,0x00,
+0xb8,0x03,0x00,0x00,0x0c,0x00,0x08,0x00,0x85,0x00,0x00,0x00,
+0xbb,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xa1,0x03,0x00,0x00,0xb9,0x03,0x00,0x00,0x94,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbf,0x03,0x00,0x00,
+0xc5,0x00,0x00,0x00,0xf0,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0xca,0x00,0x00,0x00,0xc0,0x03,0x00,0x00,0xc2,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0xbf,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x85,0x00,0x00,0x00,0xc1,0x03,0x00,0x00,0xc0,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,0xc5,0x03,0x00,0x00,
+0x7a,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0x85,0x00,0x00,0x00,
+0xc6,0x03,0x00,0x00,0xc5,0x03,0x00,0x00,0x85,0x00,0x05,0x00,
+0x85,0x00,0x00,0x00,0xc7,0x03,0x00,0x00,0xc1,0x03,0x00,0x00,
+0xc6,0x03,0x00,0x00,0x85,0x00,0x05,0x00,0x85,0x00,0x00,0x00,
+0xc8,0x03,0x00,0x00,0xc7,0x03,0x00,0x00,0xb4,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,0xce,0x03,0x00,0x00,
+0x7f,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,0xa3,0x00,0x00,0x00,
+0xcf,0x03,0x00,0x00,0xce,0x03,0x00,0x00,0x26,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd0,0x03,0x00,0x00,
+0xcf,0x03,0x00,0x00,0x7c,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0xd1,0x03,0x00,0x00,0xd0,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa3,0x00,0x00,0x00,0xd6,0x03,0x00,0x00,0x61,0x03,0x00,0x00,
+0xc2,0x00,0x05,0x00,0xa3,0x00,0x00,0x00,0xd7,0x03,0x00,0x00,
+0xd6,0x03,0x00,0x00,0x96,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xd8,0x03,0x00,0x00,0xd7,0x03,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0xd9,0x03,0x00,0x00,
+0xd8,0x03,0x00,0x00,0xc7,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0xda,0x03,0x00,0x00,0xd9,0x03,0x00,0x00,0x35,0x00,0x00,0x00,
+0xc4,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xdb,0x03,0x00,0x00,
+0xda,0x03,0x00,0x00,0x26,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0xdc,0x03,0x00,0x00,0xd1,0x03,0x00,0x00,
+0xdb,0x03,0x00,0x00,0x72,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,
+0xdd,0x03,0x00,0x00,0xdc,0x03,0x00,0x00,0x72,0x00,0x04,0x00,
+0x17,0x00,0x00,0x00,0xde,0x03,0x00,0x00,0xdd,0x03,0x00,0x00,
+0x82,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xdf,0x03,0x00,0x00,
+0xde,0x03,0x00,0x00,0xfa,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x85,0x00,0x00,0x00,0xe0,0x03,0x00,0x00,0xdf,0x03,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x85,0x00,0x00,0x00,0xe2,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xc8,0x03,0x00,0x00,
+0xe0,0x03,0x00,0x00,0xbb,0x03,0x00,0x00,0x81,0x00,0x05,0x00,
+0x85,0x00,0x00,0x00,0xe3,0x03,0x00,0x00,0x3f,0x03,0x00,0x00,
+0xe2,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x85,0x00,0x00,0x00,
+0xad,0x01,0x00,0x00,0x90,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x85,0x00,0x00,0x00,0xae,0x01,0x00,0x00,0xad,0x01,0x00,0x00,
+0xe3,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x90,0x00,0x00,0x00,
+0xae,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb1,0x01,0x00,0x00,0xf3,0x01,0x00,0x00,0x58,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x93,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x95,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x58,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0xb2,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb4,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xb4,0x01,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xf4,0x01,0x00,0x00,
+0x89,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0xcb,0x01,0x00,0x00,
+0xb7,0x01,0x00,0x00,0xac,0x00,0x05,0x00,0x9a,0x00,0x00,0x00,
+0xba,0x01,0x00,0x00,0xf4,0x01,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xb6,0x01,0x00,0x00,0xb7,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xba,0x01,0x00,0x00,
+0xb5,0x01,0x00,0x00,0xb6,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb5,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0x9a,0x00,0x00,0x00,
+0xbd,0x01,0x00,0x00,0x59,0x00,0x00,0x00,0xf4,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xbf,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xbd,0x01,0x00,0x00,0xbe,0x01,0x00,0x00,
+0xbf,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc3,0x01,0x00,0x00,
+0x59,0x00,0x00,0x00,0xf4,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x8f,0x00,0x00,0x00,0xc4,0x01,0x00,0x00,0x88,0x00,0x00,0x00,
+0xc3,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x85,0x00,0x00,0x00,
+0xc5,0x01,0x00,0x00,0xc4,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x8f,0x00,0x00,0x00,0xc6,0x01,0x00,0x00,0x88,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x85,0x00,0x00,0x00,
+0xc7,0x01,0x00,0x00,0xc6,0x01,0x00,0x00,0x81,0x00,0x05,0x00,
+0x85,0x00,0x00,0x00,0xc8,0x01,0x00,0x00,0xc7,0x01,0x00,0x00,
+0xc5,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xc6,0x01,0x00,0x00,
+0xc8,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xbf,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbf,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x58,0x00,0x00,0x00,0x58,0x00,0x00,0x00,0xb2,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb7,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb7,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcb,0x01,0x00,0x00,0xf4,0x01,0x00,0x00,0xeb,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb4,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb6,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0x9a,0x00,0x00,0x00,
+0xcd,0x01,0x00,0x00,0x59,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xcf,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xcd,0x01,0x00,0x00,0xce,0x01,0x00,0x00,
+0xcf,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xce,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd6,0x01,0x00,0x00,
+0xf2,0x01,0x00,0x00,0x3d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x8f,0x00,0x00,0x00,0xd7,0x01,0x00,0x00,0x88,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x85,0x00,0x00,0x00,
+0xd8,0x01,0x00,0x00,0xd7,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0xca,0x00,0x00,0x00,0xd9,0x01,0x00,0x00,0xd3,0x01,0x00,0x00,
+0x1c,0x00,0x00,0x00,0xd6,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xd9,0x01,0x00,0x00,0xd8,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcf,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xcf,0x01,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_id_q6_K_f32_len = 11612;
+
+unsigned char mul_mat_vec_id_q8_0_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x3a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2b,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
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+0x8f,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x89,0x00,0x00,0x00,
+0x88,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x88,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x88,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
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+0x8e,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9f,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
+0x9f,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
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+0xa4,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
+0x98,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
+0x45,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x01,0x00,0x00,0xad,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
+0x41,0x00,0x07,0x00,0x4f,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,
+0x4b,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
+0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x43,0x00,0x00,0x00,
+0x20,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x20,0x01,0x00,0x00,
+0x41,0x00,0x08,0x00,0x58,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
+0x4b,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
+0x56,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x27,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
+0x72,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
+0x27,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x29,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0xa4,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x58,0x00,0x00,0x00,
+0x2f,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x1e,0x01,0x00,0x00,0x56,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0x2f,0x01,0x00,0x00,0x72,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x31,0x01,0x00,0x00,0x30,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
+0x29,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
+0x0f,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x33,0x01,0x00,0x00,
+0x21,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xb6,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
+0x14,0x01,0x00,0x00,0xa9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
+0xa4,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc0,0x00,0x00,0x00,
+0xc1,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0xbf,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xc2,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,0x51,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0xc0,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
+0xba,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
+0xcc,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xce,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
+0xc2,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
+0xd1,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x85,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
+0x95,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x87,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x89,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x95,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd9,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x39,0x01,0x00,0x00,0xd8,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
+0xf0,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
+0x90,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
+0x6d,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xdb,0x00,0x00,0x00,
+0xdc,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xdf,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xda,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x90,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0x39,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xe4,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe2,0x00,0x00,0x00,
+0xe3,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe8,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x84,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x81,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
+0x85,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xed,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x85,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe4,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x95,0x00,0x00,0x00,
+0x95,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xdc,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdc,0x00,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
+0x39,0x01,0x00,0x00,0x56,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdb,0x00,0x00,0x00,
+0xaa,0x00,0x05,0x00,0x90,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0x73,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xf4,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xf2,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x18,0x01,0x00,0x00,
+0x6f,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x84,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc0,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0xfe,0x00,0x00,0x00,
+0xfd,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_id_q8_0_f32_len = 3808;
+
 unsigned char mul_mat_vec_nc_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0xb3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
@@ -61701,7 +124725,7 @@ const uint64_t mul_mat_vec_p021_f16_f32_len = 2768;
 
 unsigned char mul_mat_vec_q2_K_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x11,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x49,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
@@ -61709,721 +124733,721 @@ unsigned char mul_mat_vec_q2_K_f16_f32_data[] = {
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,
-0xc3,0x00,0x00,0x00,0xff,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
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+0x1b,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,
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+0xf9,0x00,0x02,0x00,0xc6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
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+0xe4,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xba,0x00,0x00,0x00,0x44,0x03,0x00,0x00,0x48,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0xe6,0x02,0x00,0x00,
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+0xe7,0x02,0x00,0x00,0xe6,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,
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+0xf9,0x00,0x02,0x00,0x9b,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
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+0xf9,0x00,0x02,0x00,0x98,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9a,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,
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+0x8e,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x04,0x03,0x00,0x00,
+0xf0,0x02,0x00,0x00,0xac,0x00,0x05,0x00,0x9f,0x00,0x00,0x00,
+0xf3,0x02,0x00,0x00,0x41,0x03,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xef,0x02,0x00,0x00,0xf0,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf3,0x02,0x00,0x00,
+0xee,0x02,0x00,0x00,0xef,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xee,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x9f,0x00,0x00,0x00,
+0xf6,0x02,0x00,0x00,0x6a,0x00,0x00,0x00,0x41,0x03,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xf8,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xf6,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,
+0xf8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xf7,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x41,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x94,0x00,0x00,0x00,0xfd,0x02,0x00,0x00,0x8d,0x00,0x00,0x00,
+0xfc,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,
+0xfe,0x02,0x00,0x00,0xfd,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x94,0x00,0x00,0x00,0xff,0x02,0x00,0x00,0x8d,0x00,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,
+0x00,0x03,0x00,0x00,0xff,0x02,0x00,0x00,0x81,0x00,0x05,0x00,
+0x8a,0x00,0x00,0x00,0x01,0x03,0x00,0x00,0x00,0x03,0x00,0x00,
+0xfe,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xff,0x02,0x00,0x00,
+0x01,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0xf8,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf8,0x02,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x69,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf0,0x02,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x04,0x03,0x00,0x00,0x41,0x03,0x00,0x00,0xec,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xed,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xef,0x02,0x00,0x00,0xaa,0x00,0x05,0x00,0x9f,0x00,0x00,0x00,
+0x06,0x03,0x00,0x00,0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x08,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x06,0x03,0x00,0x00,0x07,0x03,0x00,0x00,
+0x08,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x07,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,
+0x3f,0x03,0x00,0x00,0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x94,0x00,0x00,0x00,0x10,0x03,0x00,0x00,0x8d,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,
+0x11,0x03,0x00,0x00,0x10,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0x12,0x03,0x00,0x00,0x13,0x03,0x00,0x00,0x0c,0x03,0x00,0x00,
+0x59,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x13,0x03,0x00,0x00,0x11,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x08,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q2_K_f16_f32_len = 8612;
 
 unsigned char mul_mat_vec_q2_K_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x01,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x39,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
@@ -62431,700 +125455,700 @@ unsigned char mul_mat_vec_q2_K_f32_f32_data[] = {
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,
-0xc3,0x00,0x00,0x00,0xf0,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xfd,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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+0x95,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,0x8a,0x00,0x00,0x00,
+0x98,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0x8a,0x02,0x00,0x00,0x96,0x02,0x00,0x00,0x81,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,
+0xc6,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0xa8,0x00,0x00,0x00,
+0xa8,0x02,0x00,0x00,0xce,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
+0xa8,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,
+0x3b,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xaa,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0xab,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xac,0x02,0x00,0x00,
+0xab,0x02,0x00,0x00,0xe5,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x8a,0x00,0x00,0x00,0xad,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x8a,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,
+0xad,0x02,0x00,0x00,0x98,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8a,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,0xee,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xa8,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xf6,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0xa8,0x00,0x00,0x00,
+0xc0,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,
+0xc0,0x02,0x00,0x00,0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0xc2,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x1b,0x00,0x00,0x00,0xc3,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,
+0xe5,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,
+0xc4,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x8a,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,
+0xaf,0x02,0x00,0x00,0x81,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,
+0xc8,0x02,0x00,0x00,0x35,0x03,0x00,0x00,0xc6,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xca,0x02,0x00,0x00,
+0x33,0x03,0x00,0x00,0xec,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc8,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,
+0xc1,0x00,0x00,0x00,0x35,0x03,0x00,0x00,0x7f,0x00,0x04,0x00,
+0x8a,0x00,0x00,0x00,0x38,0x03,0x00,0x00,0xd4,0x02,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x8a,0x00,0x00,0x00,0xd5,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
+0x34,0x03,0x00,0x00,0x38,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8a,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,0x95,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,
+0xd7,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x95,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x9b,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x9b,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,
+0x30,0x03,0x00,0x00,0x69,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x98,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x9a,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0xdc,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xde,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xde,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x31,0x03,0x00,0x00,0x8e,0x00,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0xac,0x00,0x05,0x00,0x9f,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
+0x31,0x03,0x00,0x00,0x4b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xe0,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe4,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,
+0xe0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xdf,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x9f,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x31,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xe9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xe7,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0xe9,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xed,0x02,0x00,0x00,0x6a,0x00,0x00,0x00,
+0x31,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x94,0x00,0x00,0x00,
+0xee,0x02,0x00,0x00,0x8d,0x00,0x00,0x00,0xed,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0xef,0x02,0x00,0x00,
+0xee,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x94,0x00,0x00,0x00,
+0xf0,0x02,0x00,0x00,0x8d,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0xf1,0x02,0x00,0x00,
+0xf0,0x02,0x00,0x00,0x81,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,
+0xf2,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,0xef,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xf0,0x02,0x00,0x00,0xf2,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe9,0x02,0x00,0x00,0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,
+0x69,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe1,0x02,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x31,0x03,0x00,0x00,0xec,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xde,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe0,0x02,0x00,0x00,
+0xaa,0x00,0x05,0x00,0x9f,0x00,0x00,0x00,0xf7,0x02,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xf9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xf7,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x2f,0x03,0x00,0x00,
+0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x94,0x00,0x00,0x00,
+0x01,0x03,0x00,0x00,0x8d,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0x02,0x03,0x00,0x00,
+0x01,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0xd8,0x00,0x00,0x00,
+0x03,0x03,0x00,0x00,0xfd,0x02,0x00,0x00,0x59,0x00,0x00,0x00,
+0x00,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x03,0x03,0x00,0x00,
+0x02,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0xf9,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf9,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q2_K_f32_f32_len = 8356;
 
 unsigned char mul_mat_vec_q3_K_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x4d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x85,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
@@ -63132,839 +126156,839 @@ unsigned char mul_mat_vec_q3_K_f16_f32_data[] = {
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x88,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
-0xc7,0x00,0x00,0x00,0x3f,0x03,0x00,0x00,0x10,0x00,0x06,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0x4c,0x03,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x59,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa8,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xaa,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xac,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xac,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xac,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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+0x3e,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x3f,0x03,0x00,0x00,
+0x41,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x38,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x38,0x03,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x69,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0x2b,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x30,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x30,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x44,0x03,0x00,0x00,0x81,0x03,0x00,0x00,0x7b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x2d,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x2f,0x03,0x00,0x00,0xaa,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,
+0x46,0x03,0x00,0x00,0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x48,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x46,0x03,0x00,0x00,0x47,0x03,0x00,0x00,
+0x48,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x47,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4f,0x03,0x00,0x00,
+0x7f,0x03,0x00,0x00,0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9c,0x00,0x00,0x00,0x50,0x03,0x00,0x00,0x95,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x92,0x00,0x00,0x00,
+0x51,0x03,0x00,0x00,0x50,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0x52,0x03,0x00,0x00,0x53,0x03,0x00,0x00,0x4c,0x03,0x00,0x00,
+0x59,0x00,0x00,0x00,0x4f,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x53,0x03,0x00,0x00,0x51,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x48,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x48,0x03,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q3_K_f16_f32_len = 10028;
 
 unsigned char mul_mat_vec_q3_K_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x45,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x7d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
@@ -63972,2177 +126996,2177 @@ unsigned char mul_mat_vec_q3_K_f32_f32_data[] = {
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x88,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
-0xc7,0x00,0x00,0x00,0x38,0x03,0x00,0x00,0x10,0x00,0x06,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0x45,0x03,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x59,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa8,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xaa,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xac,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xac,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xac,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4a,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x66,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xb3,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb5,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb7,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xb9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x60,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xac,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xad,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xae,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xae,0x00,0x00,0x00,
+0xba,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xbb,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xbb,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xae,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xb0,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb0,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0xbb,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xbd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbd,0x00,0x00,0x00,
 0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xc4,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,
+0xd1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xd2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xd2,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xc5,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xc7,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc7,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0xd2,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,
 0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x35,0x03,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x36,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x36,0x03,0x00,0x00,
+0x42,0x03,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x43,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x43,0x03,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x36,0x03,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x38,0x03,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x38,0x03,0x00,0x00,
+0x47,0x00,0x03,0x00,0x43,0x03,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x45,0x03,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x45,0x03,0x00,0x00,
 0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x3f,0x03,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x4c,0x03,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
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+0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0x24,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x29,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x29,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x3d,0x03,0x00,0x00,0x79,0x03,0x00,0x00,
+0x7b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x26,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x28,0x03,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xaa,0x00,0x00,0x00,0x3f,0x03,0x00,0x00,0x6a,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x41,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x3f,0x03,0x00,0x00,
+0x40,0x03,0x00,0x00,0x41,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x40,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x48,0x03,0x00,0x00,0x77,0x03,0x00,0x00,0x4d,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x9c,0x00,0x00,0x00,0x49,0x03,0x00,0x00,
+0x95,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x92,0x00,0x00,0x00,0x4a,0x03,0x00,0x00,0x49,0x03,0x00,0x00,
+0x41,0x00,0x06,0x00,0xdc,0x00,0x00,0x00,0x4b,0x03,0x00,0x00,
+0x45,0x03,0x00,0x00,0x59,0x00,0x00,0x00,0x48,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x4b,0x03,0x00,0x00,0x4a,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x41,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x41,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
 const uint64_t mul_mat_vec_q3_K_f32_f32_len = 9900;
 
 unsigned char mul_mat_vec_q4_0_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x2b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x63,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
-0x47,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
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 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
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-0x48,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x51,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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-0x47,0x00,0x03,0x00,0x51,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x83,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbd,0x00,0x00,0x00,
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+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
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+0x3c,0x01,0x00,0x00,0xbc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xb7,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x60,0x00,0x00,0x00,
+0xd3,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
+0x5c,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x60,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0xde,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
+0xe0,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0xd8,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x0e,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
+0xe2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xe5,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
+0xe3,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x97,0x00,0x00,0x00,
+0xe6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe9,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,0xa7,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x99,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x9b,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,
+0xa7,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xed,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xed,0x00,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
+0xec,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0xf0,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0xa2,0x00,0x00,0x00,
+0xf3,0x00,0x00,0x00,0x60,0x01,0x00,0x00,0x7f,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xef,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf3,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xee,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xa2,0x00,0x00,0x00,
+0xf6,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xf8,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xf6,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0xf8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
+0x85,0x00,0x00,0x00,0x60,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x96,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x93,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x97,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
+0x00,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x97,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf8,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf0,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf0,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
+0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xef,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xa2,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x85,0x00,0x00,0x00,
+0x7f,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x08,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x06,0x01,0x00,0x00,
+0x07,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x07,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x40,0x01,0x00,0x00,0x81,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
+0x93,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0x12,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x13,0x01,0x00,0x00,0x11,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x08,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
 const uint64_t mul_mat_vec_q4_0_f16_f32_len = 3960;
 
 unsigned char mul_mat_vec_q4_0_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x29,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x61,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
-0x47,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x5b,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0x93,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x41,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x47,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4b,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x51,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x51,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x51,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x51,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x51,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x51,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x51,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x51,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x51,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x83,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
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-0xdf,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x26,0x01,0x00,0x00,0xde,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
-0x95,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
-0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xe1,0x00,0x00,0x00,
-0xe2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xe5,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
-0x95,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0x49,0x00,0x00,0x00,
-0x26,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xea,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe8,0x00,0x00,0x00,
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-0xe9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xee,0x00,0x00,0x00,0x49,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x89,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
-0x8a,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0xf3,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x8a,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xea,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xea,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x9a,0x00,0x00,0x00,
-0x9a,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xe2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
-0x26,0x01,0x00,0x00,0x28,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xdf,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,
-0xaa,0x00,0x05,0x00,0x95,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x49,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xfa,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xf8,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xf9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x82,0x00,0x00,0x00,
-0x45,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x89,0x00,0x00,0x00,
-0x02,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
-0x02,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xc6,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x04,0x01,0x00,0x00,
-0x03,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xfa,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xfa,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,
+0xde,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0xd3,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0xcd,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
+0xd5,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
+0xe4,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x97,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,
+0xa7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x99,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x9b,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0xa7,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xec,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xec,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x5e,0x01,0x00,0x00,0xeb,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
+0x03,0x01,0x00,0x00,0xef,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
+0xa2,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
+0x7f,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xee,0x00,0x00,0x00,
+0xef,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xf2,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xed,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xa2,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
+0x5e,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xf7,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf5,0x00,0x00,0x00,
+0xf6,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
+0x93,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
+0x97,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x00,0x01,0x00,0x00,0xff,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x97,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf7,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,
+0xa7,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xef,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xef,0x00,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
+0x5e,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xec,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xee,0x00,0x00,0x00,
+0xaa,0x00,0x05,0x00,0xa2,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
+0x85,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x07,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x07,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x06,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x81,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x93,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xd3,0x00,0x00,0x00,
+0x11,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x0e,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x11,0x01,0x00,0x00,
+0x10,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x07,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x07,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q4_0_f32_f32_len = 3928;
 
 unsigned char mul_mat_vec_q4_1_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x39,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x71,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x49,0x00,0x00,0x00,
-0x4f,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,
-0x8e,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x07,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x5b,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x16,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1a,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x49,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x4f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x53,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x59,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x59,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x59,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x59,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x59,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x59,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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+0xdb,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
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+0x0e,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x60,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0xe6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
+0xe8,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0xe0,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xed,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0xeb,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x9f,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf1,0x00,0x00,0x00,0x6f,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa3,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,
+0xaf,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x70,0x01,0x00,0x00,
+0xf4,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
+0xf8,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x70,0x01,0x00,0x00,0x87,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xf7,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xfb,0x00,0x00,0x00,
+0xf6,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf6,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x70,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xfe,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
+0x00,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xff,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0x8d,0x00,0x00,0x00,0x70,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9e,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x9b,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x06,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x9f,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x09,0x01,0x00,0x00,
+0x08,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x9f,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x00,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x00,0x01,0x00,0x00,
+0xe0,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
+0xf2,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf8,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf8,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x70,0x01,0x00,0x00,
+0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xaa,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x8d,0x00,0x00,0x00,
+0x87,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x10,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x0e,0x01,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0f,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0x48,0x01,0x00,0x00,0x89,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x9e,0x00,0x00,0x00,0x18,0x01,0x00,0x00,
+0x9b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0x1a,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
+0x14,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x1b,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x10,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x10,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
 const uint64_t mul_mat_vec_q4_1_f16_f32_len = 4044;
 
 unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x37,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x6f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x49,0x00,0x00,0x00,
-0x4f,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,
-0x8e,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x5b,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x16,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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+0x43,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x64,0x01,0x00,0x00,0x63,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
+0x0f,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0x61,0x01,0x00,0x00,
+0x64,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x67,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0x51,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x69,0x01,0x00,0x00,
+0x57,0x01,0x00,0x00,0x57,0x01,0x00,0x00,0x81,0x00,0x05,0x00,
+0x0f,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,0x67,0x01,0x00,0x00,
+0x69,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xd1,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
+0x42,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
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+0xbf,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xdb,0x00,0x00,0x00,
+0xdc,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0xda,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xdd,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0x51,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
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-0x41,0x00,0x06,0x00,0xce,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
-0xc8,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
-0xda,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0xdc,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
-0xd0,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
-0xdf,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x92,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
-0xa2,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x94,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x96,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
-0xa2,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xe7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xe7,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x36,0x01,0x00,0x00,0xe6,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
-0xfe,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
-0x9d,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
-0x4a,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xe9,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xed,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xe8,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
-0x9d,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0x51,0x00,0x00,0x00,
-0x36,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xf2,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf0,0x00,0x00,0x00,
-0xf1,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xf1,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x51,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x91,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x8e,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x92,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xf2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xf2,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xea,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xea,0x00,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x36,0x01,0x00,0x00,0x28,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xe7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe9,0x00,0x00,0x00,
-0xaa,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0x51,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x02,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x00,0x01,0x00,0x00,0x01,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x01,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0x8a,0x00,0x00,0x00,
-0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x91,0x00,0x00,0x00,
-0x0a,0x01,0x00,0x00,0x8e,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x0a,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xce,0x00,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x09,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x0c,0x01,0x00,0x00,
-0x0b,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x02,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x02,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
+0xe6,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0xdb,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
+0xd5,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xe9,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
+0xdd,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x9f,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0x6d,0x01,0x00,0x00,
+0xaf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa1,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa3,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0xaf,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf4,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x6e,0x01,0x00,0x00,0xf3,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
+0x0b,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
+0xaa,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x6e,0x01,0x00,0x00,
+0x87,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xf6,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xfa,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xaa,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,
+0x6e,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xff,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xfd,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xfe,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x03,0x01,0x00,0x00,0x8d,0x00,0x00,0x00,0x6e,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x9e,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0x9b,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x07,0x01,0x00,0x00,
+0x9f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x05,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x9f,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xff,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xff,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,
+0xaf,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x6e,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,
+0xaa,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
+0x8d,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x0f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x0d,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x0e,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x46,0x01,0x00,0x00,
+0x89,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x9e,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0x9b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x18,0x01,0x00,0x00,
+0x17,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xdb,0x00,0x00,0x00,
+0x19,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x16,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x19,0x01,0x00,0x00,
+0x18,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x0f,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x0f,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q4_1_f32_f32_len = 4012;
 
 unsigned char mul_mat_vec_q4_K_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xd4,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x0c,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
@@ -66150,870 +129174,870 @@ unsigned char mul_mat_vec_q4_K_f16_f32_data[] = {
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
-0x23,0x02,0x00,0x00,0xc6,0x03,0x00,0x00,0x10,0x00,0x06,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
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+0x90,0x00,0x00,0x00,0xaa,0x03,0x00,0x00,0xca,0x00,0x00,0x00,
+0x8e,0x03,0x00,0x00,0x7f,0x00,0x04,0x00,0x90,0x00,0x00,0x00,
+0x0b,0x04,0x00,0x00,0xaa,0x03,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x90,0x00,0x00,0x00,0xab,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,0xa6,0x03,0x00,0x00,
+0x0b,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x90,0x00,0x00,0x00,
+0xad,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x90,0x00,0x00,0x00,0xae,0x03,0x00,0x00,0xad,0x03,0x00,0x00,
+0xab,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x9b,0x00,0x00,0x00,
+0xae,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb1,0x03,0x00,0x00,0x07,0x04,0x00,0x00,0x69,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9e,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa0,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,
+0x69,0x00,0x00,0x00,0xb2,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb4,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0xb4,0x03,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x08,0x04,0x00,0x00,
+0x94,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0xcb,0x03,0x00,0x00,
+0xb7,0x03,0x00,0x00,0xac,0x00,0x05,0x00,0xa5,0x00,0x00,0x00,
+0xba,0x03,0x00,0x00,0x08,0x04,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xb6,0x03,0x00,0x00,0xb7,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xba,0x03,0x00,0x00,
+0xb5,0x03,0x00,0x00,0xb6,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb5,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,0xa5,0x00,0x00,0x00,
+0xbd,0x03,0x00,0x00,0x6a,0x00,0x00,0x00,0x08,0x04,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xbf,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xbd,0x03,0x00,0x00,0xbe,0x03,0x00,0x00,
+0xbf,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc3,0x03,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x08,0x04,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9a,0x00,0x00,0x00,0xc4,0x03,0x00,0x00,0x93,0x00,0x00,0x00,
+0xc3,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x90,0x00,0x00,0x00,
+0xc5,0x03,0x00,0x00,0xc4,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9a,0x00,0x00,0x00,0xc6,0x03,0x00,0x00,0x93,0x00,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x90,0x00,0x00,0x00,
+0xc7,0x03,0x00,0x00,0xc6,0x03,0x00,0x00,0x81,0x00,0x05,0x00,
+0x90,0x00,0x00,0x00,0xc8,0x03,0x00,0x00,0xc7,0x03,0x00,0x00,
+0xc5,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0xc6,0x03,0x00,0x00,
+0xc8,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0xbf,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbf,0x03,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x69,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0xb2,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb7,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb7,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcb,0x03,0x00,0x00,0x08,0x04,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb4,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb6,0x03,0x00,0x00,0xaa,0x00,0x05,0x00,0xa5,0x00,0x00,0x00,
+0xcd,0x03,0x00,0x00,0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xcf,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xcd,0x03,0x00,0x00,0xce,0x03,0x00,0x00,
+0xcf,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0xce,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd6,0x03,0x00,0x00,
+0x06,0x04,0x00,0x00,0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9a,0x00,0x00,0x00,0xd7,0x03,0x00,0x00,0x93,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x90,0x00,0x00,0x00,
+0xd8,0x03,0x00,0x00,0xd7,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0xd9,0x03,0x00,0x00,0xda,0x03,0x00,0x00,0xd3,0x03,0x00,0x00,
+0x59,0x00,0x00,0x00,0xd6,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xda,0x03,0x00,0x00,0xd8,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcf,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0xcf,0x03,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q4_K_f16_f32_len = 10400;
 
 unsigned char mul_mat_vec_q4_K_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xb4,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0xec,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
@@ -67021,2320 +130045,2320 @@ unsigned char mul_mat_vec_q4_K_f32_f32_data[] = {
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
-0x23,0x02,0x00,0x00,0xa7,0x03,0x00,0x00,0x10,0x00,0x06,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
+0x30,0x02,0x00,0x00,0xb4,0x03,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x95,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x97,0x03,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xa5,0x00,0x00,0x00,0xae,0x03,0x00,0x00,0x6a,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xb0,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xae,0x03,0x00,0x00,
+0xaf,0x03,0x00,0x00,0xb0,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xaf,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb7,0x03,0x00,0x00,0xe6,0x03,0x00,0x00,0x4d,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x9a,0x00,0x00,0x00,0xb8,0x03,0x00,0x00,
+0x93,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x90,0x00,0x00,0x00,0xb9,0x03,0x00,0x00,0xb8,0x03,0x00,0x00,
+0x41,0x00,0x06,0x00,0x34,0x02,0x00,0x00,0xba,0x03,0x00,0x00,
+0xb4,0x03,0x00,0x00,0x59,0x00,0x00,0x00,0xb7,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xba,0x03,0x00,0x00,0xb9,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb0,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb0,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
 const uint64_t mul_mat_vec_q4_K_f32_f32_len = 9888;
 
 unsigned char mul_mat_vec_q5_0_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x80,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
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 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
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 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
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-0xb5,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
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 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
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-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x80,0x00,0x00,0x00,
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 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
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+0x3a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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+0x43,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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-0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
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+0x0e,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
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+0x13,0x01,0x00,0x00,0xc6,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
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+0x14,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0xb4,0x01,0x00,0x00,0x55,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
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+0x1b,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1b,0x01,0x00,0x00,
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+0x1a,0x01,0x00,0x00,0xca,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
+0x1e,0x01,0x00,0x00,0xac,0x00,0x05,0x00,0xd1,0x00,0x00,0x00,
+0x21,0x01,0x00,0x00,0xb5,0x01,0x00,0x00,0x97,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x1d,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x21,0x01,0x00,0x00,
+0x1c,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1c,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0xd1,0x00,0x00,0x00,
+0x24,0x01,0x00,0x00,0xb4,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x26,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x24,0x01,0x00,0x00,0x25,0x01,0x00,0x00,
+0x26,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x25,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
+0xb4,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0xc5,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0xc2,0x00,0x00,0x00,
+0x2a,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x2c,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
+0x2e,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xc6,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x26,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x26,0x01,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x55,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
+0x18,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x1e,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x1e,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x32,0x01,0x00,0x00,0xb5,0x01,0x00,0x00,
+0x6b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x1b,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x1d,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xd1,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0xb4,0x00,0x00,0x00,
+0x97,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x36,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x34,0x01,0x00,0x00,
+0x35,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x35,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x6e,0x01,0x00,0x00,0xb0,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
+0xc2,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0x40,0x01,0x00,0x00,0x41,0x01,0x00,0x00,
+0x3a,0x01,0x00,0x00,0x5f,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x41,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x36,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x36,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
 const uint64_t mul_mat_vec_q5_0_f16_f32_len = 4488;
 
 unsigned char mul_mat_vec_q5_0_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x7e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0xb6,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x72,0x00,0x00,0x00,
-0x77,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0xb5,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x5e,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
+0xc2,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1a,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x1b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x72,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
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+0x0d,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0x03,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x12,0x01,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
+0x12,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xc6,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0xb2,0x01,0x00,0x00,
+0x55,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc8,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xca,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x55,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x1a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1a,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xb3,0x01,0x00,0x00,0x19,0x01,0x00,0x00,0xca,0x00,0x00,0x00,
+0x31,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,0xac,0x00,0x05,0x00,
+0xd1,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0xb3,0x01,0x00,0x00,
+0x97,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x1c,0x01,0x00,0x00,
+0x1d,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x20,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x1b,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xd1,0x00,0x00,0x00,0x23,0x01,0x00,0x00,0xb4,0x00,0x00,0x00,
+0xb3,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0x25,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x23,0x01,0x00,0x00,
+0x24,0x01,0x00,0x00,0x25,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x24,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x29,0x01,0x00,0x00,0xb4,0x00,0x00,0x00,0xb3,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
+0xc2,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
+0xc6,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x2e,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xc6,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x25,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x25,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,0x55,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x1d,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1d,0x01,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0xb3,0x01,0x00,0x00,0x6b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x1a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1c,0x01,0x00,0x00,
+0xaa,0x00,0x05,0x00,0xd1,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
+0xb4,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x35,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x33,0x01,0x00,0x00,0x34,0x01,0x00,0x00,0x35,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x34,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x6c,0x01,0x00,0x00,
+0xb0,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,
+0x3d,0x01,0x00,0x00,0xc2,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x01,0x01,0x00,0x00,
+0x3f,0x01,0x00,0x00,0x39,0x01,0x00,0x00,0x5f,0x00,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x3f,0x01,0x00,0x00,
+0x3e,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x35,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x35,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q5_0_f32_f32_len = 4456;
 
 unsigned char mul_mat_vec_q5_1_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x79,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0xb1,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x72,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
-0xb0,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x5b,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xad,0x00,0x00,0x00,
+0xbd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x16,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1a,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x6d,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x72,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x76,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x7b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x7b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7b,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x7b,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x7b,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7b,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x7b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x7b,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7b,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x7b,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x7b,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x7b,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,
+0x57,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x58,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x59,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x59,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa9,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xba,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xe7,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
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-0x2d,0x01,0x00,0x00,0xb0,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
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+0xfa,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0xe6,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x60,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0x5c,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x53,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x02,0x01,0x00,0x00,0xaa,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
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+0xfc,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x60,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,
+0x5c,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x53,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x0a,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x02,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
+0xff,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0xc1,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xc1,0x00,0x00,0x00,0x10,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0xaf,0x01,0x00,0x00,
+0xd1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc3,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc5,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0xd1,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x17,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x17,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xb0,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0xc5,0x00,0x00,0x00,
+0x2e,0x01,0x00,0x00,0x1a,0x01,0x00,0x00,0xac,0x00,0x05,0x00,
+0xcc,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0xb0,0x01,0x00,0x00,
+0x92,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x19,0x01,0x00,0x00,
+0x1a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x1d,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x18,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xcc,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,
+0xb0,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0x22,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x20,0x01,0x00,0x00,
+0x21,0x01,0x00,0x00,0x22,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x21,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x26,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,0xb0,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0xc0,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
+0xbd,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0x28,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
+0xc1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xc1,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x22,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x22,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,0xd1,0x00,0x00,0x00,
+0xd1,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x1a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1a,0x01,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
+0xb0,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x17,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x19,0x01,0x00,0x00,
+0xaa,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0xaf,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x32,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x30,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x31,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x6a,0x01,0x00,0x00,
+0xab,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xc0,0x00,0x00,0x00,
+0x3a,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
+0x3a,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x3c,0x01,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x39,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x3d,0x01,0x00,0x00,
+0x3b,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x32,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x32,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q5_1_f16_f32_len = 4384;
 
 unsigned char mul_mat_vec_q5_1_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x77,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0xaf,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x72,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
-0xb0,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
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+0xa8,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0xfc,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xfd,0x00,0x00,0x00,
+0x09,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x08,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x0a,0x01,0x00,0x00,0x09,0x01,0x00,0x00,0x85,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
+0x0a,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xf3,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
+0xc1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xc1,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0xad,0x01,0x00,0x00,0xd1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc5,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0xd1,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
+0x13,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x16,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x16,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xae,0x01,0x00,0x00,0x15,0x01,0x00,0x00,
+0xc5,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
+0xac,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,
+0xae,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x18,0x01,0x00,0x00,0x19,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x1c,0x01,0x00,0x00,0x17,0x01,0x00,0x00,
+0x18,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x17,0x01,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,
+0xaf,0x00,0x00,0x00,0xae,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x21,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x1f,0x01,0x00,0x00,0x20,0x01,0x00,0x00,0x21,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x20,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,
+0xae,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xc0,0x00,0x00,0x00,
+0x26,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
+0x26,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x29,0x01,0x00,0x00,0xc1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,
+0x27,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xc1,0x00,0x00,0x00,
+0x2a,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x21,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x21,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
+0xd1,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x19,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x19,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x2d,0x01,0x00,0x00,0xae,0x01,0x00,0x00,0x68,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x16,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x18,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,
+0x2f,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x31,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x2f,0x01,0x00,0x00,0x30,0x01,0x00,0x00,
+0x31,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x30,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
+0x68,0x01,0x00,0x00,0xab,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0xc0,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,
+0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x3a,0x01,0x00,0x00,0x39,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0xfd,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x35,0x01,0x00,0x00,
+0x5c,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x3b,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x31,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x31,0x01,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q5_1_f32_f32_len = 4352;
 
 unsigned char mul_mat_vec_q5_K_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xc0,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0xf8,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
@@ -69342,1111 +132366,1111 @@ unsigned char mul_mat_vec_q5_K_f16_f32_data[] = {
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
-0x2e,0x02,0x00,0x00,0xb2,0x04,0x00,0x00,0x10,0x00,0x06,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x3b,0x02,0x00,0x00,0xbf,0x04,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x59,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xb5,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb6,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xb7,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xb8,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xb8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xb8,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4a,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x66,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc2,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc4,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xc5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xb8,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xb9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xba,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xba,0x00,0x00,0x00,
+0xc6,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xc7,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xc7,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xba,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
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+0x88,0x04,0x00,0x00,0x70,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0x90,0x04,0x00,0x00,0x4b,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x9d,0x00,0x00,0x00,0x92,0x04,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xf0,0x03,0x00,0x00,0x90,0x04,0x00,0x00,
+0x8d,0x04,0x00,0x00,0x85,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,
+0x96,0x04,0x00,0x00,0xd7,0x00,0x00,0x00,0x7a,0x04,0x00,0x00,
+0x7f,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0xf7,0x04,0x00,0x00,
+0x96,0x04,0x00,0x00,0x0c,0x00,0x08,0x00,0x9d,0x00,0x00,0x00,
+0x97,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x92,0x04,0x00,0x00,0xf7,0x04,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0x99,0x04,0x00,0x00,
+0xa8,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,
+0x9a,0x04,0x00,0x00,0x99,0x04,0x00,0x00,0x97,0x04,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xa8,0x00,0x00,0x00,0x9a,0x04,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x04,0x00,0x00,
+0xf3,0x04,0x00,0x00,0x69,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xab,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xad,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0x9e,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,0xa0,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa0,0x04,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xf4,0x04,0x00,0x00,0xa1,0x00,0x00,0x00,
+0xad,0x00,0x00,0x00,0xb7,0x04,0x00,0x00,0xa3,0x04,0x00,0x00,
+0xac,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,0xa6,0x04,0x00,0x00,
+0xf4,0x04,0x00,0x00,0x4b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xa2,0x04,0x00,0x00,0xa3,0x04,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xa6,0x04,0x00,0x00,0xa1,0x04,0x00,0x00,
+0xa2,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0xa1,0x04,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,0xa9,0x04,0x00,0x00,
+0x6a,0x00,0x00,0x00,0xf4,0x04,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xab,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xa9,0x04,0x00,0x00,0xaa,0x04,0x00,0x00,0xab,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xaa,0x04,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaf,0x04,0x00,0x00,0x6a,0x00,0x00,0x00,
+0xf4,0x04,0x00,0x00,0x41,0x00,0x05,0x00,0xa7,0x00,0x00,0x00,
+0xb0,0x04,0x00,0x00,0xa0,0x00,0x00,0x00,0xaf,0x04,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0xb1,0x04,0x00,0x00,
+0xb0,0x04,0x00,0x00,0x41,0x00,0x05,0x00,0xa7,0x00,0x00,0x00,
+0xb2,0x04,0x00,0x00,0xa0,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0xb3,0x04,0x00,0x00,
+0xb2,0x04,0x00,0x00,0x81,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,
+0xb4,0x04,0x00,0x00,0xb3,0x04,0x00,0x00,0xb1,0x04,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xb2,0x04,0x00,0x00,0xb4,0x04,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xab,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xab,0x04,0x00,0x00,0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,
+0x69,0x00,0x00,0x00,0x9e,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa3,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0xa3,0x04,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb7,0x04,0x00,0x00,
+0xf4,0x04,0x00,0x00,0x93,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa0,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0xa2,0x04,0x00,0x00,
+0xaa,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,0xb9,0x04,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xbb,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xb9,0x04,0x00,0x00,0xba,0x04,0x00,0x00,0xbb,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xba,0x04,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc2,0x04,0x00,0x00,0xf2,0x04,0x00,0x00,
+0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xa7,0x00,0x00,0x00,
+0xc3,0x04,0x00,0x00,0xa0,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0xc4,0x04,0x00,0x00,
+0xc3,0x04,0x00,0x00,0x41,0x00,0x06,0x00,0xc5,0x04,0x00,0x00,
+0xc6,0x04,0x00,0x00,0xbf,0x04,0x00,0x00,0x59,0x00,0x00,0x00,
+0xc2,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0xc6,0x04,0x00,0x00,
+0xc4,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,0xbb,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbb,0x04,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q5_K_f16_f32_len = 13288;
 
 unsigned char mul_mat_vec_q5_K_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xa0,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0xd8,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
@@ -70454,1068 +133478,1068 @@ unsigned char mul_mat_vec_q5_K_f32_f32_data[] = {
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
-0x2e,0x02,0x00,0x00,0x93,0x04,0x00,0x00,0x10,0x00,0x06,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x3b,0x02,0x00,0x00,0xa0,0x04,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x59,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xb5,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb6,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xb7,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xb8,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xb8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xb8,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4a,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x66,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc2,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc4,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xc5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xb8,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xb9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xba,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xba,0x00,0x00,0x00,
+0xc6,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xc7,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xc7,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xba,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
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+0xdb,0x03,0x00,0x00,0x59,0x00,0x00,0x00,0xa9,0x00,0x06,0x00,
+0x1b,0x00,0x00,0x00,0xdd,0x03,0x00,0x00,0xdc,0x03,0x00,0x00,
+0x50,0x02,0x00,0x00,0x59,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x1b,0x00,0x00,0x00,0xde,0x03,0x00,0x00,0xcf,0x03,0x00,0x00,
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+0x1e,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xfc,0x03,0x00,0x00,0xfe,0x03,0x00,0x00,0x1d,0x04,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0x23,0x04,0x00,0x00,
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+0x29,0x04,0x00,0x00,0x2d,0x03,0x00,0x00,0x81,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x2a,0x04,0x00,0x00,0x23,0x04,0x00,0x00,
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+0x9d,0x00,0x00,0x00,0x31,0x04,0x00,0x00,0x2a,0x04,0x00,0x00,
+0x30,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
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+0x37,0x04,0x00,0x00,0x70,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0x3a,0x04,0x00,0x00,0x67,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x9d,0x00,0x00,0x00,0x3c,0x04,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x38,0x04,0x00,0x00,0x3a,0x04,0x00,0x00,
+0x1e,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0x42,0x04,0x00,0x00,0x7c,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0x48,0x04,0x00,0x00,0x95,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0x49,0x04,0x00,0x00,
+0x42,0x04,0x00,0x00,0x48,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0x4f,0x04,0x00,0x00,0xb0,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0x50,0x04,0x00,0x00,
+0x49,0x04,0x00,0x00,0x4f,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0x56,0x04,0x00,0x00,0xcb,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0x57,0x04,0x00,0x00,
+0x50,0x04,0x00,0x00,0x56,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0x59,0x04,0x00,0x00,0x83,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x9d,0x00,0x00,0x00,0x5b,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x57,0x04,0x00,0x00,
+0x59,0x04,0x00,0x00,0x3c,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0x63,0x04,0x00,0x00,0xe6,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0x67,0x04,0x00,0x00,
+0xf4,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,
+0x68,0x04,0x00,0x00,0x10,0x03,0x00,0x00,0x67,0x04,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x9d,0x00,0x00,0x00,0x69,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0x63,0x04,0x00,0x00,0x68,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0x6c,0x04,0x00,0x00,0x2f,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x9d,0x00,0x00,0x00,0x6e,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x76,0x03,0x00,0x00,
+0x6c,0x04,0x00,0x00,0x69,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0x71,0x04,0x00,0x00,0x4b,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x9d,0x00,0x00,0x00,0x73,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xe1,0x03,0x00,0x00,
+0x71,0x04,0x00,0x00,0x6e,0x04,0x00,0x00,0x85,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x77,0x04,0x00,0x00,0xd7,0x00,0x00,0x00,
+0x5b,0x04,0x00,0x00,0x7f,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0xd7,0x04,0x00,0x00,0x77,0x04,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x9d,0x00,0x00,0x00,0x78,0x04,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x73,0x04,0x00,0x00,
+0xd7,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0x7a,0x04,0x00,0x00,0xa8,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x7b,0x04,0x00,0x00,0x7a,0x04,0x00,0x00,
+0x78,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0xa8,0x00,0x00,0x00,
+0x7b,0x04,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x7e,0x04,0x00,0x00,0xd3,0x04,0x00,0x00,0x69,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xab,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xad,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,
+0x69,0x00,0x00,0x00,0x7f,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x81,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x81,0x04,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xd4,0x04,0x00,0x00,
+0xa1,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x98,0x04,0x00,0x00,
+0x84,0x04,0x00,0x00,0xac,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,
+0x87,0x04,0x00,0x00,0xd4,0x04,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x83,0x04,0x00,0x00,0x84,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x87,0x04,0x00,0x00,
+0x82,0x04,0x00,0x00,0x83,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x82,0x04,0x00,0x00,0xb0,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,
+0x8a,0x04,0x00,0x00,0x6a,0x00,0x00,0x00,0xd4,0x04,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x8c,0x04,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x8a,0x04,0x00,0x00,0x8b,0x04,0x00,0x00,
+0x8c,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x8b,0x04,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x90,0x04,0x00,0x00,
+0x6a,0x00,0x00,0x00,0xd4,0x04,0x00,0x00,0x41,0x00,0x05,0x00,
+0xa7,0x00,0x00,0x00,0x91,0x04,0x00,0x00,0xa0,0x00,0x00,0x00,
+0x90,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0x92,0x04,0x00,0x00,0x91,0x04,0x00,0x00,0x41,0x00,0x05,0x00,
+0xa7,0x00,0x00,0x00,0x93,0x04,0x00,0x00,0xa0,0x00,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0x94,0x04,0x00,0x00,0x93,0x04,0x00,0x00,0x81,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x95,0x04,0x00,0x00,0x94,0x04,0x00,0x00,
+0x92,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0x93,0x04,0x00,0x00,
+0x95,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,0x8c,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8c,0x04,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x69,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0x7f,0x04,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x84,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x84,0x04,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x98,0x04,0x00,0x00,0xd4,0x04,0x00,0x00,0x93,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x81,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x83,0x04,0x00,0x00,0xaa,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,
+0x9a,0x04,0x00,0x00,0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x9c,0x04,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x9a,0x04,0x00,0x00,0x9b,0x04,0x00,0x00,
+0x9c,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x9b,0x04,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa3,0x04,0x00,0x00,
+0xd2,0x04,0x00,0x00,0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0xa7,0x00,0x00,0x00,0xa4,0x04,0x00,0x00,0xa0,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0xa5,0x04,0x00,0x00,0xa4,0x04,0x00,0x00,0x41,0x00,0x06,0x00,
+0x3f,0x02,0x00,0x00,0xa6,0x04,0x00,0x00,0xa0,0x04,0x00,0x00,
+0x59,0x00,0x00,0x00,0xa3,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xa6,0x04,0x00,0x00,0xa5,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x9c,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x9c,0x04,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q5_K_f32_f32_len = 12776;
 
 unsigned char mul_mat_vec_q6_K_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xee,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x26,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
@@ -71523,1000 +134547,1000 @@ unsigned char mul_mat_vec_q6_K_f16_f32_data[] = {
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0xb1,0x00,0x00,0x00,
-0xc7,0x00,0x00,0x00,0xdb,0x01,0x00,0x00,0x10,0x00,0x06,0x00,
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+0xb4,0x00,0x00,0x00,0x0b,0x04,0x00,0x00,0x93,0x03,0x00,0x00,
+0xc2,0x00,0x05,0x00,0xb4,0x00,0x00,0x00,0x0c,0x04,0x00,0x00,
+0x0b,0x04,0x00,0x00,0x45,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x0d,0x04,0x00,0x00,0x0c,0x04,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x0e,0x04,0x00,0x00,
+0x0d,0x04,0x00,0x00,0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0x0f,0x04,0x00,0x00,0x0e,0x04,0x00,0x00,0xc2,0x00,0x00,0x00,
+0xc4,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x10,0x04,0x00,0x00,
+0x0f,0x04,0x00,0x00,0x3b,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,
+0x1b,0x00,0x00,0x00,0x11,0x04,0x00,0x00,0x06,0x04,0x00,0x00,
+0x10,0x04,0x00,0x00,0x72,0x00,0x04,0x00,0xb7,0x00,0x00,0x00,
+0x12,0x04,0x00,0x00,0x11,0x04,0x00,0x00,0x72,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x13,0x04,0x00,0x00,0x12,0x04,0x00,0x00,
+0x82,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x14,0x04,0x00,0x00,
+0x13,0x04,0x00,0x00,0x0d,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x96,0x00,0x00,0x00,0x15,0x04,0x00,0x00,0x14,0x04,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x96,0x00,0x00,0x00,0x17,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xfd,0x03,0x00,0x00,
+0x15,0x04,0x00,0x00,0xef,0x03,0x00,0x00,0x81,0x00,0x05,0x00,
+0x96,0x00,0x00,0x00,0x18,0x04,0x00,0x00,0x70,0x03,0x00,0x00,
+0x17,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
+0xc2,0x01,0x00,0x00,0xa1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x96,0x00,0x00,0x00,0xc3,0x01,0x00,0x00,0xc2,0x01,0x00,0x00,
+0x18,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0xa1,0x00,0x00,0x00,
+0xc3,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc6,0x01,0x00,0x00,0x1c,0x02,0x00,0x00,0x69,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa6,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,
+0x69,0x00,0x00,0x00,0xc7,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc9,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x01,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x1d,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xe0,0x01,0x00,0x00,
+0xcc,0x01,0x00,0x00,0xac,0x00,0x05,0x00,0xab,0x00,0x00,0x00,
+0xcf,0x01,0x00,0x00,0x1d,0x02,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xcb,0x01,0x00,0x00,0xcc,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xcf,0x01,0x00,0x00,
+0xca,0x01,0x00,0x00,0xcb,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xca,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0xab,0x00,0x00,0x00,
+0xd2,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,0x1d,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xd4,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xd2,0x01,0x00,0x00,0xd3,0x01,0x00,0x00,
+0xd4,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xd3,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd8,0x01,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x1d,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xa0,0x00,0x00,0x00,0xd9,0x01,0x00,0x00,0x99,0x00,0x00,0x00,
+0xd8,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
+0xda,0x01,0x00,0x00,0xd9,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0xa0,0x00,0x00,0x00,0xdb,0x01,0x00,0x00,0x99,0x00,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
+0xdc,0x01,0x00,0x00,0xdb,0x01,0x00,0x00,0x81,0x00,0x05,0x00,
+0x96,0x00,0x00,0x00,0xdd,0x01,0x00,0x00,0xdc,0x01,0x00,0x00,
+0xda,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xdb,0x01,0x00,0x00,
+0xdd,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xd4,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd4,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x69,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0xc7,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xcc,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcc,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe0,0x01,0x00,0x00,0x1d,0x02,0x00,0x00,0xfe,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc9,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcb,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0xab,0x00,0x00,0x00,
+0xe2,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xe4,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe2,0x01,0x00,0x00,0xe3,0x01,0x00,0x00,
+0xe4,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xe3,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x01,0x00,0x00,
+0x1b,0x02,0x00,0x00,0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0xa0,0x00,0x00,0x00,0xec,0x01,0x00,0x00,0x99,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
+0xed,0x01,0x00,0x00,0xec,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0xee,0x01,0x00,0x00,0xef,0x01,0x00,0x00,0xe8,0x01,0x00,0x00,
+0x59,0x00,0x00,0x00,0xeb,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xef,0x01,0x00,0x00,0xed,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe4,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xe4,0x01,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q6_K_f16_f32_len = 11960;
 
 unsigned char mul_mat_vec_q6_K_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xde,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x16,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
@@ -72524,1631 +135548,1631 @@ unsigned char mul_mat_vec_q6_K_f32_f32_data[] = {
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0xb1,0x00,0x00,0x00,
-0xc7,0x00,0x00,0x00,0xd8,0x01,0x00,0x00,0x10,0x00,0x06,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0xe5,0x01,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x59,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa8,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa9,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xab,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xad,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xad,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x80,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xad,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4a,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x66,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xb5,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb6,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb8,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xba,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xba,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xba,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,
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+0x3d,0x00,0x04,0x00,0xb7,0x00,0x00,0x00,0xc3,0x03,0x00,0x00,
+0x55,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
+0xc4,0x03,0x00,0x00,0xc3,0x03,0x00,0x00,0x85,0x00,0x05,0x00,
+0x96,0x00,0x00,0x00,0xc5,0x03,0x00,0x00,0xbf,0x03,0x00,0x00,
+0xc4,0x03,0x00,0x00,0x85,0x00,0x05,0x00,0x96,0x00,0x00,0x00,
+0xc6,0x03,0x00,0x00,0xc5,0x03,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xb4,0x00,0x00,0x00,0xcc,0x03,0x00,0x00,
+0x7e,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,0xb4,0x00,0x00,0x00,
+0xcd,0x03,0x00,0x00,0xcc,0x03,0x00,0x00,0x3b,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xce,0x03,0x00,0x00,
+0xcd,0x03,0x00,0x00,0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0xcf,0x03,0x00,0x00,0xce,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xb4,0x00,0x00,0x00,0xd4,0x03,0x00,0x00,0x86,0x03,0x00,0x00,
+0xc2,0x00,0x05,0x00,0xb4,0x00,0x00,0x00,0xd5,0x03,0x00,0x00,
+0xd4,0x03,0x00,0x00,0x3b,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xd6,0x03,0x00,0x00,0xd5,0x03,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0xd7,0x03,0x00,0x00,
+0xd6,0x03,0x00,0x00,0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0xd8,0x03,0x00,0x00,0xd7,0x03,0x00,0x00,0xc2,0x00,0x00,0x00,
+0xc4,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xd9,0x03,0x00,0x00,
+0xd8,0x03,0x00,0x00,0x3b,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,
+0x1b,0x00,0x00,0x00,0xda,0x03,0x00,0x00,0xcf,0x03,0x00,0x00,
+0xd9,0x03,0x00,0x00,0x72,0x00,0x04,0x00,0xb7,0x00,0x00,0x00,
+0xdb,0x03,0x00,0x00,0xda,0x03,0x00,0x00,0x72,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0xdc,0x03,0x00,0x00,0xdb,0x03,0x00,0x00,
+0x82,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xdd,0x03,0x00,0x00,
+0xdc,0x03,0x00,0x00,0x0d,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x96,0x00,0x00,0x00,0xde,0x03,0x00,0x00,0xdd,0x03,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x96,0x00,0x00,0x00,0xe0,0x03,0x00,0x00,
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+0x15,0x04,0x00,0x00,0x41,0x00,0x06,0x00,0xdc,0x00,0x00,0x00,
+0xe5,0x03,0x00,0x00,0xd4,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
+0xe4,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
+0xe6,0x03,0x00,0x00,0xe5,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xb7,0x00,0x00,0x00,0xea,0x03,0x00,0x00,0x8d,0x01,0x00,0x00,
+0x6f,0x00,0x04,0x00,0x96,0x00,0x00,0x00,0xeb,0x03,0x00,0x00,
+0xea,0x03,0x00,0x00,0x85,0x00,0x05,0x00,0x96,0x00,0x00,0x00,
+0xec,0x03,0x00,0x00,0xe6,0x03,0x00,0x00,0xeb,0x03,0x00,0x00,
+0x85,0x00,0x05,0x00,0x96,0x00,0x00,0x00,0xed,0x03,0x00,0x00,
+0xec,0x03,0x00,0x00,0xc6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xb4,0x00,0x00,0x00,0xf3,0x03,0x00,0x00,0xa4,0x03,0x00,0x00,
+0xc2,0x00,0x05,0x00,0xb4,0x00,0x00,0x00,0xf4,0x03,0x00,0x00,
+0xf3,0x03,0x00,0x00,0x3b,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xf5,0x03,0x00,0x00,0xf4,0x03,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0xf6,0x03,0x00,0x00,
+0xf5,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0xb4,0x00,0x00,0x00,
+0xfb,0x03,0x00,0x00,0x86,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,
+0xb4,0x00,0x00,0x00,0xfc,0x03,0x00,0x00,0xfb,0x03,0x00,0x00,
+0x45,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xfd,0x03,0x00,0x00,0xfc,0x03,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0xfe,0x03,0x00,0x00,0xfd,0x03,0x00,0x00,
+0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xff,0x03,0x00,0x00,
+0xfe,0x03,0x00,0x00,0xc2,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
+0x1b,0x00,0x00,0x00,0x00,0x04,0x00,0x00,0xff,0x03,0x00,0x00,
+0x3b,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0x01,0x04,0x00,0x00,0xf6,0x03,0x00,0x00,0x00,0x04,0x00,0x00,
+0x72,0x00,0x04,0x00,0xb7,0x00,0x00,0x00,0x02,0x04,0x00,0x00,
+0x01,0x04,0x00,0x00,0x72,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x03,0x04,0x00,0x00,0x02,0x04,0x00,0x00,0x82,0x00,0x05,0x00,
+0x1b,0x00,0x00,0x00,0x04,0x04,0x00,0x00,0x03,0x04,0x00,0x00,
+0x0d,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
+0x05,0x04,0x00,0x00,0x04,0x04,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x96,0x00,0x00,0x00,0x07,0x04,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xed,0x03,0x00,0x00,0x05,0x04,0x00,0x00,
+0xe0,0x03,0x00,0x00,0x81,0x00,0x05,0x00,0x96,0x00,0x00,0x00,
+0x08,0x04,0x00,0x00,0x64,0x03,0x00,0x00,0x07,0x04,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,0xbf,0x01,0x00,0x00,
+0xa1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x96,0x00,0x00,0x00,
+0xc0,0x01,0x00,0x00,0xbf,0x01,0x00,0x00,0x08,0x04,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xa1,0x00,0x00,0x00,0xc0,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc3,0x01,0x00,0x00,
+0x18,0x02,0x00,0x00,0x69,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa6,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0xc4,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xc6,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc6,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x19,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xa6,0x00,0x00,0x00,0xdd,0x01,0x00,0x00,0xc9,0x01,0x00,0x00,
+0xac,0x00,0x05,0x00,0xab,0x00,0x00,0x00,0xcc,0x01,0x00,0x00,
+0x19,0x02,0x00,0x00,0x4b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xc8,0x01,0x00,0x00,0xc9,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xcc,0x01,0x00,0x00,0xc7,0x01,0x00,0x00,
+0xc8,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xc7,0x01,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xab,0x00,0x00,0x00,0xcf,0x01,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x19,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xd1,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xcf,0x01,0x00,0x00,0xd0,0x01,0x00,0x00,0xd1,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd0,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd5,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,
+0x19,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xa0,0x00,0x00,0x00,
+0xd6,0x01,0x00,0x00,0x99,0x00,0x00,0x00,0xd5,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,0xd7,0x01,0x00,0x00,
+0xd6,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xa0,0x00,0x00,0x00,
+0xd8,0x01,0x00,0x00,0x99,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,0xd9,0x01,0x00,0x00,
+0xd8,0x01,0x00,0x00,0x81,0x00,0x05,0x00,0x96,0x00,0x00,0x00,
+0xda,0x01,0x00,0x00,0xd9,0x01,0x00,0x00,0xd7,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xd8,0x01,0x00,0x00,0xda,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd1,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd1,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,
+0x69,0x00,0x00,0x00,0xc4,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc9,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x01,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdd,0x01,0x00,0x00,
+0x19,0x02,0x00,0x00,0xfe,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc6,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xc8,0x01,0x00,0x00,
+0xaa,0x00,0x05,0x00,0xab,0x00,0x00,0x00,0xdf,0x01,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xe1,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xdf,0x01,0x00,0x00,0xe0,0x01,0x00,0x00,0xe1,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe0,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe8,0x01,0x00,0x00,0x17,0x02,0x00,0x00,
+0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xa0,0x00,0x00,0x00,
+0xe9,0x01,0x00,0x00,0x99,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,0xea,0x01,0x00,0x00,
+0xe9,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xdc,0x00,0x00,0x00,
+0xeb,0x01,0x00,0x00,0xe5,0x01,0x00,0x00,0x59,0x00,0x00,0x00,
+0xe8,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xeb,0x01,0x00,0x00,
+0xea,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xe1,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe1,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q6_K_f32_f32_len = 11704;
 
 unsigned char mul_mat_vec_q8_0_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x28,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
-0x46,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,0x51,0x00,0x00,0x00,
-0x85,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x5b,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
+0x92,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
-0xc6,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
-0xd6,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x89,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
-0x99,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x8b,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x8d,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
-0x99,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xde,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x27,0x01,0x00,0x00,0xdd,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,
-0xf5,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
-0x94,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
-0x41,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xe0,0x00,0x00,0x00,
-0xe1,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xe4,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xdf,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
-0x94,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
-0x27,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xe9,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe7,0x00,0x00,0x00,
-0xe8,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xe8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xed,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x88,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0x85,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
-0x89,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0xf2,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x89,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xe9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xe9,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x99,0x00,0x00,0x00,
-0x99,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xe1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
-0x27,0x01,0x00,0x00,0x27,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,
-0xaa,0x00,0x05,0x00,0x94,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xf9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xf7,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xf8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x81,0x00,0x00,0x00,
-0x44,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x88,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x85,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
-0x01,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x03,0x01,0x00,0x00,
-0x04,0x01,0x00,0x00,0xfd,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x04,0x01,0x00,0x00,
-0x02,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xf9,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xf9,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,
+0xce,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0xba,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xce,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x60,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
+0x5c,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x53,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xd6,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x60,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
+0x5c,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x53,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0xde,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xe0,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,
+0xd3,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
+0xe3,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x96,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
+0xa6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x98,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x9a,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0xa6,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xeb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xeb,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x5f,0x01,0x00,0x00,0xea,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,
+0x02,0x01,0x00,0x00,0xee,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
+0xa1,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,
+0x7e,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xed,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xf1,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xec,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xa1,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
+0x5f,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xf6,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf4,0x00,0x00,0x00,
+0xf5,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x95,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0x92,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf6,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,
+0xa6,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xee,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xee,0x00,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
+0x5f,0x01,0x00,0x00,0x67,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xeb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xed,0x00,0x00,0x00,
+0xaa,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0x84,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x06,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x04,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x05,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x80,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x95,0x00,0x00,0x00,
+0x0e,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
+0x0e,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x10,0x01,0x00,0x00,
+0x11,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x0d,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x11,0x01,0x00,0x00,
+0x0f,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x06,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x06,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q8_0_f16_f32_len = 3916;
 
 unsigned char mul_mat_vec_q8_0_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x26,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x5e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
-0x46,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,0x51,0x00,0x00,0x00,
-0x85,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x5b,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
+0x92,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x09,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
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-0xd1,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
-0xd3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
-0xba,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
-0x89,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0xd6,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x89,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,
-0x24,0x01,0x00,0x00,0x99,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x8b,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x8d,0x00,0x00,0x00,
-0xe0,0x00,0x04,0x00,0x99,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
-0xda,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0xdc,0x00,0x00,0x00,
-0x8d,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
-0xac,0x00,0x05,0x00,0x94,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,
-0x25,0x01,0x00,0x00,0x41,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
-0xdf,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xe3,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
-0xdf,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
-0xb0,0x00,0x05,0x00,0x94,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xe8,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xe6,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xe7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
-0x25,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x88,0x00,0x00,0x00,
-0xed,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0xed,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0xf0,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x08,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
-0xee,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x89,0x00,0x00,0x00,
-0xf1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe8,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xe8,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
-0x99,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xe0,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0x27,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xdf,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0x94,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xf8,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xf6,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0xf8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
-0x81,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x88,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x85,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0xc4,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0xfc,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x02,0x01,0x00,0x00,0x01,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xf8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf8,0x00,0x00,0x00,
+0xce,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0xba,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xce,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xd1,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
+0x5c,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0e,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x59,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xd1,0x00,0x00,0x00,
+0xdd,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0xdc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xde,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xde,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0xe0,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xc7,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xe3,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
+0x5c,0x01,0x00,0x00,0xa6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x98,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x9a,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xea,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xea,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x9a,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xed,0x00,0x00,0x00,
+0xac,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
+0x5d,0x01,0x00,0x00,0x7e,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xec,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xf0,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xeb,0x00,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xf5,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xf3,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
+0x5d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x95,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xfd,0x00,0x00,0x00,0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x0e,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0xa6,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xed,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,0x67,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xea,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xec,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,
+0x03,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x05,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x03,0x01,0x00,0x00,0x04,0x01,0x00,0x00,
+0x05,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x04,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x95,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x92,0x00,0x00,0x00,
+0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x0e,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0xd1,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
+0x5c,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x05,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x01,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q8_0_f32_f32_len = 3884;
@@ -75213,342 +138237,15 @@ const uint64_t rope_f32_len = 3072;
 
 unsigned char rope_neox_f16_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x5f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x69,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x0f,0x00,0x0a,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x0f,0x00,0x0b,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
 0x68,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
-0xcf,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x29,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2a,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2a,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
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-0x07,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
-0xb8,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x73,0x00,0x00,0x00,
-0xbd,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
-0xbd,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
-0xbf,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,
-0x2c,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,
-0x70,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,
-0x83,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xc8,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x7f,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,0xc8,0x00,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
-0xc5,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0xd1,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
-0x42,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x2d,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
-0x6f,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
-0xd3,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0xd7,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x33,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
-0xd7,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xd9,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
-0x2c,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
-0x70,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xe0,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,
-0x0c,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
-0xe0,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xe2,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
-0x6d,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
-0xc9,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0x22,0x01,0x00,0x00,0x2c,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
-0x22,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x26,0x01,0x00,0x00,0xd8,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
-0x2c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
-0xb7,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
-0x29,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x43,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x2a,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x43,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x2b,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0x2f,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,0x2c,0x00,0x00,0x00,
-0x41,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,
-0x41,0x00,0x06,0x00,0x2f,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
-0x2c,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
-0x2e,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
-0x4f,0x01,0x00,0x00,0xe5,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x70,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x50,0x01,0x00,0x00,
-0x4f,0x01,0x00,0x00,0x83,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x51,0x01,0x00,0x00,0x50,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,
-0x83,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x52,0x01,0x00,0x00,
-0x2f,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,0x0c,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0x53,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x52,0x01,0x00,0x00,
-0x88,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x54,0x01,0x00,0x00,
-0x51,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0x0c,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0x56,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x54,0x01,0x00,0x00,
-0x0c,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
-0x56,0x01,0x00,0x00,0x83,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x58,0x01,0x00,0x00,0x1f,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
-0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
-0x58,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x83,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0x57,0x01,0x00,0x00,
-0x1f,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,
-0x36,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
-0x5d,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x1f,0x00,0x00,0x00,
-0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
-0xe2,0x00,0x00,0x00,0x33,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x06,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x36,0x01,0x00,0x00,
-0x39,0x01,0x00,0x00,0x88,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x3d,0x01,0x00,0x00,0x1f,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
-0x0c,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x3e,0x01,0x00,0x00,0x1f,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x23,0x01,0x00,0x00,
-0x40,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x43,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x43,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x23,0x01,0x00,0x00,
-0x87,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x59,0x01,0x00,0x00,
-0x26,0x01,0x00,0x00,0x87,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,
-0x2b,0x01,0x00,0x00,0x0c,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0x45,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
-0x59,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x47,0x01,0x00,0x00,0x45,0x01,0x00,0x00,0x5a,0x01,0x00,0x00,
-0x0c,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x49,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x59,0x01,0x00,0x00,
-0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,
-0x49,0x01,0x00,0x00,0x5a,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0xa1,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
-0x42,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x94,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
-0x73,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
-0xf1,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x07,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
-0xb9,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0xa1,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
-0x42,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x94,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
-0x73,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x03,0x01,0x00,0x00,0xfb,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,
-0x7f,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
-0x03,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
-0xf2,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x94,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0x04,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xa1,0x00,0x00,0x00,
-0x06,0x01,0x00,0x00,0x98,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
-0xb9,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x06,0x01,0x00,0x00,
-0x05,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x11,0x01,0x00,0x00,0xfb,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
-0x4b,0x01,0x00,0x00,0x11,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
-0x94,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
-0x41,0x00,0x06,0x00,0xa1,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
-0x98,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x14,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x17,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x17,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-
-};
-const uint64_t rope_neox_f16_len = 3876;
-
-unsigned char rope_neox_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x5a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
-0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
-0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0a,0x00,0x05,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x2c,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
-0x9d,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
+0xc5,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x00,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
@@ -75568,51 +138265,61 @@ unsigned char rope_neox_f32_data[] = {
 0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
 0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
 0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x2a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x68,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
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-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x97,0x00,0x00,0x00,
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-0x47,0x00,0x04,0x00,0xcb,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xcc,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xcc,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xcc,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xce,0x00,0x00,0x00,
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-0xce,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
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-0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
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-0x15,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2a,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x34,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x2a,0x00,0x00,0x00,
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+0x9b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x9c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc2,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xc3,0x00,0x00,0x00,
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+0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xd2,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xd3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xd3,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0xd3,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xd5,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd5,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x07,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x6f,0x12,0x83,0x3a,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x00,0x00,0x80,0x3f,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x6f,0x12,0x83,0x3a,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
-0x00,0x00,0x80,0x3f,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x07,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x1e,0x00,0x0c,0x00,0x2a,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2b,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x1e,0x00,0x0d,0x00,0x2a,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2b,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x2a,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x2b,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
@@ -75637,37 +138344,44 @@ unsigned char rope_neox_f32_data[] = {
 0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,
 0x6f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x73,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x94,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x95,0x00,0x00,0x00,0x94,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x96,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x95,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
-0x97,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x9a,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x9b,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x9c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x9c,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xa0,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x2d,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xcb,0x00,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xcc,0x00,0x00,0x00,
-0xcb,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xcd,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0xcd,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
-0xd9,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x07,0x00,0x00,0x00,0x10,0x01,0x00,0x00,0x00,0x01,0x00,0x00,
-0x2c,0x00,0x06,0x00,0x66,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
-0x69,0x00,0x00,0x00,0x10,0x01,0x00,0x00,0x69,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
+0x16,0x00,0x03,0x00,0x94,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x95,0x00,0x00,0x00,0x94,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x97,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x96,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x97,0x00,0x00,0x00,
+0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x9b,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x9c,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xa1,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x2d,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0xc2,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0xc3,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xc3,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,
+0xc5,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0xc7,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xd2,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xd3,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xd4,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0xd8,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
+0xe3,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x07,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x00,0x01,0x00,0x00,
+0x2c,0x00,0x06,0x00,0x66,0x00,0x00,0x00,0x20,0x01,0x00,0x00,
+0x69,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x69,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x66,0x01,0x00,0x00,
 0x00,0x00,0x00,0x3f,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x12,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfb,0x00,0x03,0x00,
-0x6f,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x13,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x6a,0x00,0x00,0x00,
+0x21,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfb,0x00,0x03,0x00,
+0x6f,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x22,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x6a,0x00,0x00,0x00,
 0x6b,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
 0x6b,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
@@ -75683,7 +138397,353 @@ unsigned char rope_neox_f32_data[] = {
 0x78,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
 0x76,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x77,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x12,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x78,0x00,0x00,0x00,
+0x21,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x78,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x73,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x07,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x07,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
+0x07,0x00,0x00,0x00,0x83,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x7d,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,
+0x85,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x87,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x85,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x87,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x86,0x00,0x00,0x00,
+0x84,0x00,0x05,0x00,0x07,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0x75,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
+0x07,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
+0x7d,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x07,0x00,0x00,0x00,0x93,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0x83,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xa1,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
+0x42,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x94,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0xa1,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,
+0x98,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x93,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xa4,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x07,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
+0x93,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xa1,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
+0x42,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x94,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0xa1,0x00,0x00,0x00,0xab,0x00,0x00,0x00,
+0x98,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xab,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x21,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x87,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
+0xb1,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
+0x84,0x00,0x05,0x00,0x07,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,
+0x7e,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x07,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,0xb1,0x00,0x00,0x00,
+0xb5,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
+0xb8,0x00,0x00,0x00,0x83,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x07,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
+0xb6,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x73,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0xbc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x07,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x07,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x71,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc7,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
+0xbf,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x73,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0xcb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x07,0x00,0x00,0x00,
+0xcd,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0xab,0x00,0x05,0x00,
+0x3c,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
+0x6f,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xd1,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xce,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd0,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xd8,0x00,0x00,0x00,
+0xd9,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
+0xb8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xda,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdb,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd1,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x63,0x01,0x00,0x00,0xda,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x33,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x2f,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0xe3,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xe5,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0x0c,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0xe2,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x88,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0x63,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
+0x2c,0x01,0x00,0x00,0x2c,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
+0x2c,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x30,0x01,0x00,0x00,0xe1,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x33,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
+0xb7,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
+0x33,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x4d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x34,0x01,0x00,0x00,0x35,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x35,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0x2f,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x37,0x01,0x00,0x00,0x36,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0x2f,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
+0x38,0x01,0x00,0x00,0x70,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x5a,0x01,0x00,0x00,0xb8,0x00,0x00,0x00,0x83,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,0x5a,0x01,0x00,0x00,
+0x37,0x01,0x00,0x00,0x83,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5c,0x01,0x00,0x00,0x39,0x01,0x00,0x00,0x37,0x01,0x00,0x00,
+0x0c,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x5c,0x01,0x00,0x00,0x88,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5e,0x01,0x00,0x00,0x5b,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,
+0x0c,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x5e,0x01,0x00,0x00,0x0c,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x61,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x60,0x01,0x00,0x00,0x83,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x62,0x01,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x61,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x62,0x01,0x00,0x00,0x33,0x01,0x00,0x00,
+0x83,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00,
+0x61,0x01,0x00,0x00,0x1f,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x33,0x01,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x43,0x01,0x00,0x00,0xed,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,0x44,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0x40,0x01,0x00,0x00,0x43,0x01,0x00,0x00,0x88,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0x1f,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0x0c,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x48,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x47,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,
+0x4a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0x53,0x00,0x00,0x00,0x48,0x01,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,
+0x2d,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x4d,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x4d,0x01,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x65,0x01,0x00,0x00,
+0x2d,0x01,0x00,0x00,0xd1,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,
+0x35,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x64,0x01,0x00,0x00,0x30,0x01,0x00,0x00,0xd1,0x00,0x00,0x00,
+0x44,0x01,0x00,0x00,0x35,0x01,0x00,0x00,0x0c,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0e,0x00,0x00,0x00,0x64,0x01,0x00,0x00,0x85,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x51,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,
+0x65,0x01,0x00,0x00,0x0c,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x53,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x64,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x55,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0x65,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0xa1,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x94,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x73,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x07,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x7d,0x00,0x00,0x00,
+0x17,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
+0x02,0x01,0x00,0x00,0xb9,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0xa1,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x94,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0x03,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00,0x85,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x05,0x01,0x00,0x00,
+0x55,0x01,0x00,0x00,0x7f,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x68,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x06,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0x51,0x01,0x00,0x00,
+0x68,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x94,0x00,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0xa1,0x00,0x00,0x00,0x10,0x01,0x00,0x00,0x98,0x00,0x00,0x00,
+0x42,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x10,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x85,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,0x05,0x01,0x00,0x00,
+0x51,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,
+0x1c,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x55,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x94,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,
+0x1c,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xa1,0x00,0x00,0x00,
+0x1e,0x01,0x00,0x00,0x98,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
+0x02,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x1e,0x01,0x00,0x00,
+0x1d,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x21,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x21,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t rope_neox_f16_len = 4132;
+
+unsigned char rope_neox_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x63,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0b,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
+0x9d,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2a,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x2a,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x2a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x68,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x94,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x95,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x95,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x95,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x97,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x97,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x9a,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x9b,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x9b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x9b,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xc2,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xc2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xc2,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc4,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xd1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xd2,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xd2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xd2,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xd4,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1a,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
+0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,
+0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x6f,0x12,0x83,0x3a,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x00,0x00,0x80,0x3f,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x07,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x2a,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x2b,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2a,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x2b,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x2d,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
+0x33,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x2d,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x14,0x00,0x02,0x00,0x3c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x2d,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0xcd,0xcc,0xcc,0x3d,
+0x17,0x00,0x04,0x00,0x66,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x67,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x66,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x67,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x6a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x07,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x73,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x94,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x95,0x00,0x00,0x00,
+0x94,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x96,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x9a,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x9b,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x9c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x9b,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x9c,0x00,0x00,0x00,
+0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0xa0,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xc1,0x00,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xc2,0x00,0x00,0x00,
+0xc1,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xc3,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
+0xca,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0xd1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0xd2,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0xd3,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0xd3,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x07,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x00,0x01,0x00,0x00,
+0x2c,0x00,0x06,0x00,0x66,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,
+0x69,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x69,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
+0x00,0x00,0x00,0x3f,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x1b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfb,0x00,0x03,0x00,
+0x6f,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1c,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x6a,0x00,0x00,0x00,
+0x6b,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
+0x6b,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x6a,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
+0x68,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x07,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x73,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x07,0x00,0x00,0x00,0x75,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
+0xae,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0x76,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0x75,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x78,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x76,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x77,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x1b,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x78,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x73,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
 0x2c,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x07,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
@@ -75716,7 +138776,7 @@ unsigned char rope_neox_f32_data[] = {
 0x41,0x00,0x06,0x00,0xa0,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,
 0x97,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0xaa,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x12,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf9,0x00,0x02,0x00,0x1b,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x87,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
 0xb0,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
 0x84,0x00,0x05,0x00,0x07,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
@@ -75730,135 +138790,140 @@ unsigned char rope_neox_f32_data[] = {
 0xbb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x07,0x00,0x00,0x00,
 0xbd,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x07,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0x71,0x00,0x00,0x00,
-0xbd,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0xc1,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,
-0xc1,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xc4,0x00,0x00,0x00,0x83,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
-0x7f,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x56,0x01,0x00,0x00,
-0xc7,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,
-0xc8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
-0xc2,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0x56,0x01,0x00,0x00,
-0x41,0x00,0x06,0x00,0xd0,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
-0xce,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
-0xd1,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xd5,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
-0x33,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xd7,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
-0xd7,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0xda,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
-0xda,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xdd,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
-0x57,0x01,0x00,0x00,0x0c,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0xe0,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0xdb,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
-0xe0,0x00,0x00,0x00,0x6d,0x00,0x04,0x00,0x07,0x00,0x00,0x00,
-0xe4,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0x2c,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x1e,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,0x85,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0xd7,0x00,0x00,0x00,
-0xe1,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0x23,0x01,0x00,0x00,0x2c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
-0x23,0x01,0x00,0x00,0xb7,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,
-0x25,0x01,0x00,0x00,0x24,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x3e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x25,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
-0x3e,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x26,0x01,0x00,0x00,
-0x41,0x00,0x06,0x00,0x2f,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
-0x2c,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
-0x27,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x2f,0x00,0x00,0x00,
-0x29,0x01,0x00,0x00,0x2c,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
-0x45,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x07,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,0xe4,0x00,0x00,0x00,
-0x17,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x4b,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,0x83,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,
-0x28,0x01,0x00,0x00,0x83,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x4d,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
-0x0c,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,
+0xbd,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc6,0x00,0x00,0x00,
+0xc7,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x73,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0xca,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x07,0x00,0x00,0x00,
+0xcc,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0xab,0x00,0x05,0x00,
+0x3c,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
+0x6f,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xd0,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xcd,0x00,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcf,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xa0,0x00,0x00,0x00,
+0xd7,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
+0xb7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xd8,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd9,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd0,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x5d,0x01,0x00,0x00,0xd8,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x33,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0xdd,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x2f,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x01,0x01,0x00,0x00,
+0x4b,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xf9,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0xa0,0x00,0x00,0x00,0x18,0x01,0x00,0x00,
+0x97,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x18,0x01,0x00,0x00,0x17,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x1b,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1b,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
-const uint64_t rope_neox_f32_len = 3792;
+const uint64_t rope_neox_f32_len = 4032;
 
 unsigned char scale_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -76253,430 +139318,15 @@ const uint64_t silu_f32_len = 1264;
 
 unsigned char soft_max_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x5c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x6f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0c,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0x75,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,
-0xa3,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0x10,0x00,0x06,0x00,
-0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x00,0x02,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x72,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x73,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x73,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x73,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
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-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x75,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x89,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x8a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
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-0xa0,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xa1,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xa1,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
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-0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x06,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x07,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x07,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x09,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x09,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x45,0x01,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
-0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
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-0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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-0xb5,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x60,0x00,0x00,0x00,
-0xcf,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,
-0x4d,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x61,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xd5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd5,0x00,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,
-0x0f,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
-0xd8,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x27,0x00,0x00,0x00,
-0xdd,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,0x6c,0x00,0x00,0x00,
-0xf6,0x00,0x04,0x00,0xd7,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xdd,0x00,0x00,0x00,
-0xd6,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xd6,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xe2,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
-0xe2,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0x7c,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
-0x6a,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x16,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x24,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x16,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
-0xac,0x00,0x05,0x00,0x27,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0x1e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xf1,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xee,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xf0,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
-0x6c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,
-0x41,0x00,0x06,0x00,0x7c,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x8c,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
-0xf8,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf1,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xfa,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xf1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf1,0x00,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x16,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,
-0xf9,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x16,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
-0xe8,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,
-0x83,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x0c,0x00,0x06,0x00,
-0x16,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x1b,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x16,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x61,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x03,0x01,0x00,0x00,0xff,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x61,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0x7c,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
-0x6a,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x0c,0x01,0x00,0x00,0xff,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xd8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd8,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x4a,0x01,0x00,0x00,0x59,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xd5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd7,0x00,0x00,0x00,
-0xe0,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
-0xaf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x10,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x10,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x1a,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,0xb2,0x00,0x00,0x00,
-0xd7,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
-0xad,0x00,0x05,0x00,0x27,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
-0x4b,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
-0x12,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x16,0x01,0x00,0x00,0x11,0x01,0x00,0x00,
-0x12,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x11,0x01,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
-0x4b,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0x27,0x00,0x00,0x00,
-0x1a,0x01,0x00,0x00,0x0f,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x1c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x1a,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x1c,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1b,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,
-0x0f,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x60,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x21,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
-0x23,0x01,0x00,0x00,0x22,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x16,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0x61,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
-0x25,0x01,0x00,0x00,0x23,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x61,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x1c,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1c,0x01,0x00,0x00,
-0xe0,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
-0xaf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x13,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x13,0x01,0x00,0x00,0xc3,0x00,0x05,0x00,
-0x1a,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,
-0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x10,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x12,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x16,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,0xcf,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x2f,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x2f,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x0f,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
-0x44,0x01,0x00,0x00,0x30,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
-0x27,0x00,0x00,0x00,0x37,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,
-0x6c,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x31,0x01,0x00,0x00,
-0x30,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x37,0x01,0x00,0x00,0x30,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x30,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x13,0x00,0x00,0x00,
-0x6c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x3d,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,
-0x41,0x00,0x06,0x00,0x7c,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
-0x09,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
-0x3f,0x01,0x00,0x00,0x88,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
-0x41,0x01,0x00,0x00,0x40,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x3f,0x01,0x00,0x00,0x41,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x44,0x01,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x59,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x2f,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x31,0x01,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-};
-const uint64_t soft_max_f32_len = 4916;
-
-unsigned char soft_max_f32_f16_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x61,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
-0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
-0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
-0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x75,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
-0x0e,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x77,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x00,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
@@ -76692,55 +139342,45 @@ unsigned char soft_max_f32_f16_data[] = {
 0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
 0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x17,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x72,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x73,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x73,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x74,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x75,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x75,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x75,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x77,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x77,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x8d,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x8d,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x8f,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8f,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x09,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x73,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x75,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x75,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x8b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x8b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x8d,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0xa4,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0xa4,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xa6,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x01,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x0c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x0c,0x01,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0e,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x0e,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x4a,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
-0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x16,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x1e,0x00,0x0a,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x0a,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x52,0x01,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
+0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x16,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1e,0x00,0x09,0x00,
+0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x16,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
 0x16,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x18,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
@@ -76750,56 +139390,49 @@ unsigned char soft_max_f32_f16_data[] = {
 0x1a,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x1a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x80,0x3f,0x2b,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x16,0x00,0x00,0x00,0x14,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
-0x39,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x1a,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x4d,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x00,0x02,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x60,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x16,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
+0x28,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x33,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x64,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x74,0x00,0x00,0x00,
+0x16,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x75,0x00,0x00,0x00,
+0x74,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x76,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x75,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x76,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x7e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x16,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
-0x6a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x72,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x73,0x00,0x00,0x00,0x72,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x74,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x74,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x1a,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x89,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x8a,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x8b,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x8b,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
-0x8d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x94,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xa3,0x00,0x00,0x00,
-0x89,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xa4,0x00,0x00,0x00,
-0xa3,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xa5,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0xa5,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,
+0x81,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x8c,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x8d,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x8e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x8e,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x9d,0x00,0x00,0x00,0x00,0x02,0x00,0x00,0x1c,0x00,0x04,0x00,
+0xa0,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0xa1,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0xa0,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xa1,0x00,0x00,0x00,
+0xa2,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0xa5,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
 0x08,0x01,0x00,0x00,0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
-0xb6,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x0b,0x01,0x00,0x00,0x16,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x0c,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
-0x0d,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
+0xaa,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x09,0x01,0x00,0x00,0x16,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x0a,0x01,0x00,0x00,0x09,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0b,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0b,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x2c,0x00,0x06,0x00,0x09,0x00,0x00,0x00,
-0x4a,0x01,0x00,0x00,0x59,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
-0x4a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
-0x60,0x01,0x00,0x00,0x00,0x00,0x80,0xff,0x36,0x00,0x05,0x00,
+0x52,0x01,0x00,0x00,0x9d,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
+0x6e,0x01,0x00,0x00,0x00,0x00,0x80,0xff,0x36,0x00,0x05,0x00,
 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x0d,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
@@ -76816,275 +139449,693 @@ unsigned char soft_max_f32_f16_data[] = {
 0x24,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
 0x26,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0xba,0x00,0x05,0x00,
-0x27,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x26,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x2a,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x28,0x00,0x00,0x00,
-0x29,0x00,0x00,0x00,0x2a,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x29,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x2f,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x33,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x33,0x00,0x00,0x00,
-0xb0,0x00,0x05,0x00,0x27,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
-0x2f,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x38,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x35,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x37,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x24,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x39,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
-0x3b,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x38,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x3c,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x24,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x16,0x00,0x00,0x00,0x3f,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x38,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x38,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x16,0x00,0x00,0x00,
-0x4b,0x01,0x00,0x00,0x3b,0x00,0x00,0x00,0x37,0x00,0x00,0x00,
-0x3f,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x48,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x35,0x00,0x00,0x00,0x47,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x47,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,
-0x4a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x48,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x4c,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x51,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,
-0x34,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x52,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x51,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x52,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x48,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x48,0x00,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,
-0x4b,0x00,0x00,0x00,0x47,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x4c,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
-0x57,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0x0c,0x00,0x07,0x00,
-0x16,0x00,0x00,0x00,0x58,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,0x57,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x2a,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x2a,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x16,0x00,0x00,0x00,
-0x59,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x60,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x0f,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x61,0x00,0x00,0x00,
-0x60,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x64,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x64,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,0x0f,0x00,0x00,0x00,
-0x2a,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
-0xb0,0x00,0x05,0x00,0x27,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x4d,0x01,0x00,0x00,0x6c,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
-0x66,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x6d,0x00,0x00,0x00,0x65,0x00,0x00,0x00,
-0x66,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x65,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x71,0x00,0x00,0x00,
-0x61,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x79,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
-0x79,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0x7c,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
-0x6a,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x16,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x24,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x16,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
-0xac,0x00,0x05,0x00,0x27,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x29,0x00,0x00,0x00,0x26,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x2b,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x29,0x00,0x00,0x00,
+0x2a,0x00,0x00,0x00,0x2b,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x2a,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x34,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x33,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x34,0x00,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x28,0x00,0x00,0x00,0x36,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x39,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x36,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x38,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x24,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
+0x3c,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x39,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x3d,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x24,0x00,0x00,0x00,0x3f,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x3f,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x39,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
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+0x53,0x01,0x00,0x00,0x3c,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
+0x40,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x49,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x36,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x48,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x49,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x4d,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x52,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x53,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x52,0x00,0x00,0x00,
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+0x4c,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
+0x4d,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x54,0x01,0x00,0x00,0x0c,0x00,0x07,0x00,
+0x16,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x53,0x01,0x00,0x00,0x58,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x2b,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x2b,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x16,0x00,0x00,0x00,
+0x58,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x49,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x5e,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x5e,0x00,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x16,0x00,0x00,0x00,0x56,0x01,0x00,0x00,
+0x6e,0x01,0x00,0x00,0x2b,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
+0x61,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x55,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x00,0x00,
+0x9f,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x65,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x64,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0x65,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x28,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
+0x66,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x60,0x00,0x00,0x00,
+0x61,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x67,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,0x60,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x5f,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
+0x0f,0x00,0x00,0x00,0xae,0x00,0x05,0x00,0x28,0x00,0x00,0x00,
+0x6f,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x71,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x6f,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x70,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x60,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x71,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
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+0x16,0x01,0x00,0x00,0xad,0x00,0x05,0x00,0x28,0x00,0x00,0x00,
+0x19,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0x64,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x15,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x19,0x01,0x00,0x00,
+0x14,0x01,0x00,0x00,0x15,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x14,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1c,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x28,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0x0f,0x00,0x00,0x00,
+0x1c,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0x1f,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x1d,0x01,0x00,0x00,
+0x1e,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1e,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x24,0x01,0x00,0x00,0x0f,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0xa5,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
+0xa2,0x00,0x00,0x00,0x24,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x25,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
+0xa6,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x29,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xa6,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x1f,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1f,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x16,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x16,0x01,0x00,0x00,
+0xc3,0x00,0x05,0x00,0x1a,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
+0x65,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x13,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x15,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
+0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x31,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x31,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x01,0x00,0x00,0x51,0x01,0x00,0x00,0x34,0x01,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x28,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
+0x66,0x01,0x00,0x00,0x66,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x33,0x01,0x00,0x00,0x34,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x39,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
+0x33,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x32,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
+0x66,0x01,0x00,0x00,0x0f,0x00,0x00,0x00,0xae,0x00,0x05,0x00,
+0x28,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,
+0x66,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x43,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x41,0x01,0x00,0x00,
+0x42,0x01,0x00,0x00,0x43,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x42,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x33,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x43,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x48,0x01,0x00,0x00,0x13,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4a,0x01,0x00,0x00,0x48,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0x7e,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x64,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x88,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x4e,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x4c,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x34,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x34,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x51,0x01,0x00,0x00,0x0f,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
-0x49,0x01,0x00,0x00,0x35,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
-0x27,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x51,0x01,0x00,0x00,
-0x6c,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x36,0x01,0x00,0x00,
-0x35,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x3c,0x01,0x00,0x00,0x35,0x01,0x00,0x00,0x36,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x35,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x13,0x00,0x00,0x00,
-0x6c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x42,0x01,0x00,0x00,0x40,0x01,0x00,0x00,0x51,0x01,0x00,0x00,
-0x41,0x00,0x06,0x00,0x7c,0x00,0x00,0x00,0x44,0x01,0x00,0x00,
-0x0e,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,0x42,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
-0x44,0x01,0x00,0x00,0x88,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
-0x46,0x01,0x00,0x00,0x45,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x44,0x01,0x00,0x00,0x46,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x49,0x01,0x00,0x00,
-0x51,0x01,0x00,0x00,0x59,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x34,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x36,0x01,0x00,0x00,
+0x34,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x51,0x01,0x00,0x00,0x66,0x01,0x00,0x00,0x9d,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x31,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x33,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t soft_max_f32_len = 4836;
+
+unsigned char soft_max_f32_f16_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x73,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x0c,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x77,0x00,0x00,0x00,
+0x90,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x00,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x17,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x74,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x75,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x75,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x75,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x77,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x77,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x8e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x8e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x8e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x90,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x90,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x0e,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x10,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x10,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x56,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
+0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x16,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x1e,0x00,0x09,0x00,0x17,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
+0x16,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x1c,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0x6a,0x01,0x00,0x00,
+0x0f,0x00,0x00,0x00,0xae,0x00,0x05,0x00,0x28,0x00,0x00,0x00,
+0x45,0x01,0x00,0x00,0x41,0x01,0x00,0x00,0x66,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x47,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x45,0x01,0x00,0x00,0x46,0x01,0x00,0x00,
+0x47,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x46,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x37,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x47,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x13,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x41,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0x7e,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
+0x64,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x51,0x01,0x00,0x00,0x50,0x01,0x00,0x00,
+0x88,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x52,0x01,0x00,0x00,
+0x51,0x01,0x00,0x00,0x33,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x50,0x01,0x00,0x00,0x52,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x38,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x38,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
+0x6a,0x01,0x00,0x00,0xa0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x35,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x37,0x01,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t soft_max_f32_f16_len = 5000;
+const uint64_t soft_max_f32_f16_len = 4904;
 
 unsigned char split_k_reduce_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -77485,3 +140536,184 @@ unsigned char sqr_f32_data[] = {
 };
 const uint64_t sqr_f32_len = 3252;
 
+unsigned char sum_rows_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x76,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0b,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x33,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x25,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x25,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x30,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x31,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x31,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x33,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x33,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x69,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x6a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x6a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x6a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x6c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6c,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x71,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x73,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
+0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x14,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x15,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x16,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x14,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x1e,0x00,0x06,0x00,0x25,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x26,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x28,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x28,0x00,0x00,0x00,
+0x29,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x2a,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x14,0x00,0x02,0x00,0x2d,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x30,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x31,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x32,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x31,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x32,0x00,0x00,0x00,0x33,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x3a,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x28,0x00,0x00,0x00,
+0x47,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x15,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x28,0x00,0x00,0x00,
+0x48,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x28,0x00,0x00,0x00,0x49,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
+0x47,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x28,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x69,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x6a,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x6b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x6b,0x00,0x00,0x00,
+0x6c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x72,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x09,0x00,0x00,0x00,
+0x73,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0x72,0x00,0x00,0x00,
+0x72,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x0d,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x0d,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x1b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x1c,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x1f,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x1f,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x2b,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x29,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x2b,0x00,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x2d,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x74,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x20,0x00,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00,
+0x0f,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x37,0x00,0x00,0x00,
+0x74,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x3a,0x00,0x00,0x00,
+0x3b,0x00,0x00,0x00,0x33,0x00,0x00,0x00,0x29,0x00,0x00,0x00,
+0x39,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
+0x3c,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x14,0x00,0x00,0x00,0x3f,0x00,0x00,0x00,
+0x3e,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x1c,0x00,0x00,0x00,0x3f,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x1f,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x21,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x43,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x4a,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x4a,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x28,0x00,0x00,0x00,
+0x75,0x00,0x00,0x00,0x49,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x64,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0xad,0x00,0x05,0x00,
+0x2d,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
+0x29,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x4c,0x00,0x00,0x00,
+0x4d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x50,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x4b,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x2d,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x56,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x55,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x53,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0x5c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,
+0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
+0x5f,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x14,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
+0x5d,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x1c,0x00,0x00,0x00,
+0x60,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x56,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x56,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x43,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x4d,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x4d,0x00,0x00,0x00,0xc3,0x00,0x05,0x00,0x28,0x00,0x00,0x00,
+0x64,0x00,0x00,0x00,0x75,0x00,0x00,0x00,0x62,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x4a,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x4c,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0x2d,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x68,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x66,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
+0x68,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x67,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x29,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x14,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x3a,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
+0x6c,0x00,0x00,0x00,0x29,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x70,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x68,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x68,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t sum_rows_f32_len = 2112;
+
diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp
index b9449be03..e0c512c0d 100644
--- a/ggml-vulkan.cpp
+++ b/ggml-vulkan.cpp
@@ -114,6 +114,7 @@ struct vk_device {
     size_t idx;
 
     vk_matmul_pipeline pipeline_matmul_f32;
+    vk_matmul_pipeline pipeline_matmul_f32_f16;
     vk_matmul_pipeline pipeline_matmul_f16;
     vk_matmul_pipeline pipeline_matmul_f16_f32;
     vk_pipeline pipeline_matmul_split_k_reduce;
@@ -136,6 +137,7 @@ struct vk_device {
     vk_pipeline pipeline_get_rows[VK_NUM_TYPES];
     vk_pipeline pipeline_get_rows_f32[VK_NUM_TYPES];
     vk_pipeline pipeline_mul_f32;
+    vk_pipeline pipeline_div_f32;
     vk_pipeline pipeline_add_f32;
     vk_pipeline pipeline_scale_f32;
     vk_pipeline pipeline_sqr_f32;
@@ -151,6 +153,7 @@ struct vk_device {
     vk_pipeline pipeline_rope_f32, pipeline_rope_f16;
     vk_pipeline pipeline_rope_neox_f32, pipeline_rope_neox_f16;
     vk_pipeline pipeline_argsort_f32;
+    vk_pipeline pipeline_sum_rows_f32;
 
     std::vector<vk_pipeline_ref> pipelines;
 
@@ -225,17 +228,27 @@ typedef std::vector<vk_submission> vk_sequence;
 
 struct vk_mat_mat_push_constants {
     uint32_t M; uint32_t N; uint32_t K;
-    uint32_t stride_a; uint32_t stride_b; uint32_t stride_d; uint32_t k_split;
-    uint32_t ne02; uint32_t ne12; uint32_t broadcast2; uint32_t broadcast3;
+    uint32_t stride_a; uint32_t stride_b; uint32_t stride_d;
     uint32_t batch_stride_a; uint32_t batch_stride_b; uint32_t batch_stride_d;
-    uint32_t expert_stride_b; uint32_t expert_stride_d;
-    uint32_t idx; uint32_t nbi1; uint32_t n_as;
+    uint32_t k_split;
+    uint32_t ne02; uint32_t ne12; uint32_t broadcast2; uint32_t broadcast3;
 };
-
 struct vk_mat_vec_push_constants {
     uint32_t ncols; uint32_t stride_a; uint32_t stride_b; uint32_t stride_d;
-    uint32_t ne02; uint32_t ne12; uint32_t broadcast2; uint32_t broadcast3;
     uint32_t batch_stride_a; uint32_t batch_stride_b; uint32_t batch_stride_d;
+    uint32_t ne02; uint32_t ne12; uint32_t broadcast2; uint32_t broadcast3;
+};
+
+struct vk_mat_mat_id_push_constants {
+    uint32_t M; uint32_t N; uint32_t K;
+    uint32_t stride_a; uint32_t stride_b; uint32_t stride_d;
+    uint32_t batch_stride_a; uint32_t batch_stride_b; uint32_t batch_stride_d;
+    uint32_t nei0; uint32_t nei1; uint32_t nbi1; uint32_t ne11;
+};
+struct vk_mat_vec_id_push_constants {
+    uint32_t ncols; uint32_t stride_a; uint32_t stride_b; uint32_t stride_d;
+    uint32_t batch_stride_a; uint32_t batch_stride_b; uint32_t batch_stride_d;
+    uint32_t nei0; uint32_t ne11;
 };
 
 struct vk_op_push_constants {
@@ -289,12 +302,12 @@ struct vk_op_rope_neox_push_constants {
     float corr_dims[4];
     float theta_scale;
     float inv_ndims;
+    uint32_t has_freq_facs;
 };
 
 struct vk_op_soft_max_push_constants {
     uint32_t KX;
     uint32_t KY;
-    uint32_t KZ;
     float scale;
     float max_bias;
     float m0;
@@ -304,7 +317,8 @@ struct vk_op_soft_max_push_constants {
 
 struct vk_op_argsort_push_constants {
     uint32_t ncols;
-    bool ascending;
+    uint32_t ncols_pad;
+    int32_t order;
 };
 
 // Allow pre-recording command buffers
@@ -375,13 +389,12 @@ struct ggml_backend_vk_context {
     vk_context * compute_ctx;
     vk_context * transfer_ctx;
 
-    bool disable;
     bool initialized;
 
     size_t idx;
 };
 
-struct vk_instance {
+struct vk_instance_t {
     vk::Instance instance;
 
     std::vector<size_t> device_indices;
@@ -423,7 +436,7 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_
 typedef void (*ggml_vk_func_t)(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst);
 
 static bool vk_instance_initialized = false;
-static vk_instance vk_instance;
+static vk_instance_t vk_instance;
 
 GGML_CALL static void ggml_backend_vk_free(ggml_backend_t backend);
 
@@ -1013,6 +1026,7 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
     uint32_t s_align =  32;
 
     ctx->device->pipeline_matmul_f32 = std::make_shared<vk_matmul_pipeline_struct>();
+    ctx->device->pipeline_matmul_f32_f16 = std::make_shared<vk_matmul_pipeline_struct>();
     ctx->device->pipeline_matmul_f16_f32 = std::make_shared<vk_matmul_pipeline_struct>();
     ctx->device->pipeline_matmul_f16 = std::make_shared<vk_matmul_pipeline_struct>();
     ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0] = std::make_shared<vk_matmul_pipeline_struct>();
@@ -1026,7 +1040,7 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
     ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K] = std::make_shared<vk_matmul_pipeline_struct>();
     ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K] = std::make_shared<vk_matmul_pipeline_struct>();
 
-    /*ctx->device->pipeline_matmul_id_f32 = std::make_shared<vk_matmul_pipeline_struct>();
+    ctx->device->pipeline_matmul_id_f32 = std::make_shared<vk_matmul_pipeline_struct>();
     ctx->device->pipeline_matmul_id_f16_f32 = std::make_shared<vk_matmul_pipeline_struct>();
     ctx->device->pipeline_matmul_id_f16 = std::make_shared<vk_matmul_pipeline_struct>();
     ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0] = std::make_shared<vk_matmul_pipeline_struct>();
@@ -1038,7 +1052,7 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
     ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K] = std::make_shared<vk_matmul_pipeline_struct>();
     ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K] = std::make_shared<vk_matmul_pipeline_struct>();
     ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K] = std::make_shared<vk_matmul_pipeline_struct>();*/
+    ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K] = std::make_shared<vk_matmul_pipeline_struct>();
 
     if (device->fp16) {
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_len, matmul_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
@@ -1048,6 +1062,13 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_aligned_len, matmul_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_aligned_len, matmul_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
 
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->s, "matmul_f32_f16_s", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_l, "matmul_f32_f16_aligned_l", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_m, "matmul_f32_f16_aligned_m", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_s, "matmul_f32_f16_aligned_s", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->l, "matmul_f16_l", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->m, "matmul_f16_m", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->s, "matmul_f16_s", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
@@ -1069,12 +1090,12 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_m, "matmul_q4_0_f32_aligned_m", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_s, "matmul_q4_0_f32_aligned_s", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->l, "matmul_q4_0_f32_l", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->m, "matmul_q4_0_f32_m", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->s, "matmul_q4_0_f32_s", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_l, "matmul_q4_0_f32_aligned_l", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_m, "matmul_q4_0_f32_aligned_m", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_s, "matmul_q4_0_f32_aligned_s", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->l, "matmul_q4_1_f32_l", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->m, "matmul_q4_1_f32_m", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->s, "matmul_q4_1_f32_s", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_l, "matmul_q4_1_f32_aligned_l", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_m, "matmul_q4_1_f32_aligned_m", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_s, "matmul_q4_1_f32_aligned_s", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->l, "matmul_q5_0_f32_l", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->m, "matmul_q5_0_f32_m", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
@@ -1132,96 +1153,96 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        /*ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_len, matmul_id_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_len, matmul_id_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_len, matmul_id_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_aligned_len, matmul_id_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_aligned_len, matmul_id_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_aligned_len, matmul_id_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_len, matmul_id_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_len, matmul_id_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_len, matmul_id_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_aligned_len, matmul_id_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_aligned_len, matmul_id_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_aligned_len, matmul_id_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->s, "matmul_id_f16_s", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_l, "matmul_id_f16_aligned_l", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_m, "matmul_id_f16_aligned_m", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_s, "matmul_id_f16_aligned_s", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->s, "matmul_id_f16_s", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_l, "matmul_id_f16_aligned_l", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_m, "matmul_id_f16_aligned_m", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_s, "matmul_id_f16_aligned_s", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->l, "matmul_id_f16_f32_l", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->m, "matmul_id_f16_f32_m", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->s, "matmul_id_f16_f32_s", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_l, "matmul_id_f16_f32_aligned_l", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_m, "matmul_id_f16_f32_aligned_m", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_s, "matmul_id_f16_f32_aligned_s", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->l, "matmul_id_f16_f32_l", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->m, "matmul_id_f16_f32_m", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->s, "matmul_id_f16_f32_s", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_l, "matmul_id_f16_f32_aligned_l", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_m, "matmul_id_f16_f32_aligned_m", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_s, "matmul_id_f16_f32_aligned_s", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->l, "matmul_id_q4_1_f32_l", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->m, "matmul_id_q4_1_f32_m", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->s, "matmul_id_q4_1_f32_s", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_l, "matmul_id_q4_1_f32_aligned_l", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_m, "matmul_id_q4_1_f32_aligned_m", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_s, "matmul_id_q4_1_f32_aligned_s", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->l, "matmul_id_q5_0_f32_l", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->m, "matmul_id_q5_0_f32_m", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->s, "matmul_id_q5_0_f32_s", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_l, "matmul_id_q5_0_f32_aligned_l", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_m, "matmul_id_q5_0_f32_aligned_m", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_s, "matmul_id_q5_0_f32_aligned_s", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->l, "matmul_id_q5_0_f32_l", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->m, "matmul_id_q5_0_f32_m", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->s, "matmul_id_q5_0_f32_s", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_l, "matmul_id_q5_0_f32_aligned_l", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_m, "matmul_id_q5_0_f32_aligned_m", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_s, "matmul_id_q5_0_f32_aligned_s", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->l, "matmul_id_q5_1_f32_l", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->m, "matmul_id_q5_1_f32_m", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->s, "matmul_id_q5_1_f32_s", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_l, "matmul_id_q5_1_f32_aligned_l", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_m, "matmul_id_q5_1_f32_aligned_m", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_s, "matmul_id_q5_1_f32_aligned_s", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->l, "matmul_id_q5_1_f32_l", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->m, "matmul_id_q5_1_f32_m", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->s, "matmul_id_q5_1_f32_s", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_l, "matmul_id_q5_1_f32_aligned_l", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_m, "matmul_id_q5_1_f32_aligned_m", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_s, "matmul_id_q5_1_f32_aligned_s", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->l, "matmul_id_q8_0_f32_l", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->m, "matmul_id_q8_0_f32_m", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->s, "matmul_id_q8_0_f32_s", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_l, "matmul_id_q8_0_f32_aligned_l", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_m, "matmul_id_q8_0_f32_aligned_m", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_s, "matmul_id_q8_0_f32_aligned_s", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->l, "matmul_id_q8_0_f32_l", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->m, "matmul_id_q8_0_f32_m", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->s, "matmul_id_q8_0_f32_s", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_l, "matmul_id_q8_0_f32_aligned_l", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_m, "matmul_id_q8_0_f32_aligned_m", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_s, "matmul_id_q8_0_f32_aligned_s", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->l, "matmul_id_q2_k_f32_l", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->m, "matmul_id_q2_k_f32_m", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->s, "matmul_id_q2_k_f32_s", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_l, "matmul_id_q2_k_f32_aligned_l", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_m, "matmul_id_q2_k_f32_aligned_m", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_s, "matmul_id_q2_k_f32_aligned_s", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->l, "matmul_id_q2_k_f32_l", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->m, "matmul_id_q2_k_f32_m", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->s, "matmul_id_q2_k_f32_s", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_l, "matmul_id_q2_k_f32_aligned_l", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_m, "matmul_id_q2_k_f32_aligned_m", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_s, "matmul_id_q2_k_f32_aligned_s", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->l, "matmul_id_q3_k_f32_l", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->m, "matmul_id_q3_k_f32_m", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->s, "matmul_id_q3_k_f32_s", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_l, "matmul_id_q3_k_f32_aligned_l", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_m, "matmul_id_q3_k_f32_aligned_m", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_s, "matmul_id_q3_k_f32_aligned_s", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->l, "matmul_id_q3_k_f32_l", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->m, "matmul_id_q3_k_f32_m", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->s, "matmul_id_q3_k_f32_s", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_l, "matmul_id_q3_k_f32_aligned_l", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_m, "matmul_id_q3_k_f32_aligned_m", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_s, "matmul_id_q3_k_f32_aligned_s", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->l, "matmul_id_q4_k_f32_l", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->m, "matmul_id_q4_k_f32_m", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->s, "matmul_id_q4_k_f32_s", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_l, "matmul_id_q4_k_f32_aligned_l", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_m, "matmul_id_q4_k_f32_aligned_m", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_s, "matmul_id_q4_k_f32_aligned_s", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->l, "matmul_id_q4_k_f32_l", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->m, "matmul_id_q4_k_f32_m", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->s, "matmul_id_q4_k_f32_s", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_l, "matmul_id_q4_k_f32_aligned_l", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_m, "matmul_id_q4_k_f32_aligned_m", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_s, "matmul_id_q4_k_f32_aligned_s", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->l, "matmul_id_q5_k_f32_l", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->m, "matmul_id_q5_k_f32_m", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->s, "matmul_id_q5_k_f32_s", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_l, "matmul_id_q5_k_f32_aligned_l", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_m, "matmul_id_q5_k_f32_aligned_m", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_s, "matmul_id_q5_k_f32_aligned_s", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->l, "matmul_id_q5_k_f32_l", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->m, "matmul_id_q5_k_f32_m", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->s, "matmul_id_q5_k_f32_s", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_l, "matmul_id_q5_k_f32_aligned_l", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_m, "matmul_id_q5_k_f32_aligned_m", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_s, "matmul_id_q5_k_f32_aligned_s", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->l, "matmul_id_q6_k_f32_l", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->m, "matmul_id_q6_k_f32_m", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->s, "matmul_id_q6_k_f32_s", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);*/
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->l, "matmul_id_q6_k_f32_l", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->m, "matmul_id_q6_k_f32_m", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->s, "matmul_id_q6_k_f32_s", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
     } else {
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_fp32_len, matmul_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_fp32_len, matmul_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
@@ -1230,6 +1251,13 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_aligned_fp32_len, matmul_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_aligned_fp32_len, matmul_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
 
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->s, "matmul_f32_f16_s", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_l, "matmul_f32_f16_aligned_l", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_m, "matmul_f32_f16_aligned_m", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_s, "matmul_f32_f16_aligned_s", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->l, "matmul_f16_l", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->m, "matmul_f16_m", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->s, "matmul_f16_s", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
@@ -1314,99 +1342,100 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        /*ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_fp32_len, matmul_id_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_fp32_len, matmul_id_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_fp32_len, matmul_id_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_aligned_fp32_len, matmul_id_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_aligned_fp32_len, matmul_id_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_aligned_fp32_len, matmul_id_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_fp32_len, matmul_id_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_fp32_len, matmul_id_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_fp32_len, matmul_id_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_aligned_fp32_len, matmul_id_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_aligned_fp32_len, matmul_id_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_aligned_fp32_len, matmul_id_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->s, "matmul_id_f16_s", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_l, "matmul_id_f16_aligned_l", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_m, "matmul_id_f16_aligned_m", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_s, "matmul_id_f16_aligned_s", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->s, "matmul_id_f16_s", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_l, "matmul_id_f16_aligned_l", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_m, "matmul_id_f16_aligned_m", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_s, "matmul_id_f16_aligned_s", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->l, "matmul_id_f16_f32_l", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->m, "matmul_id_f16_f32_m", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->s, "matmul_id_f16_f32_s", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_l, "matmul_id_f16_f32_aligned_l", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_m, "matmul_id_f16_f32_aligned_m", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_s, "matmul_id_f16_f32_aligned_s", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->l, "matmul_id_f16_f32_l", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->m, "matmul_id_f16_f32_m", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->s, "matmul_id_f16_f32_s", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_l, "matmul_id_f16_f32_aligned_l", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_m, "matmul_id_f16_f32_aligned_m", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_s, "matmul_id_f16_f32_aligned_s", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->l, "matmul_id_q4_1_f32_l", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->m, "matmul_id_q4_1_f32_m", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->s, "matmul_id_q4_1_f32_s", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_l, "matmul_id_q4_1_f32_aligned_l", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_m, "matmul_id_q4_1_f32_aligned_m", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_s, "matmul_id_q4_1_f32_aligned_s", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->l, "matmul_id_q5_0_f32_l", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->m, "matmul_id_q5_0_f32_m", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->s, "matmul_id_q5_0_f32_s", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_l, "matmul_id_q5_0_f32_aligned_l", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_m, "matmul_id_q5_0_f32_aligned_m", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_s, "matmul_id_q5_0_f32_aligned_s", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->l, "matmul_id_q5_0_f32_l", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->m, "matmul_id_q5_0_f32_m", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->s, "matmul_id_q5_0_f32_s", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_l, "matmul_id_q5_0_f32_aligned_l", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_m, "matmul_id_q5_0_f32_aligned_m", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_s, "matmul_id_q5_0_f32_aligned_s", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->l, "matmul_id_q5_1_f32_l", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->m, "matmul_id_q5_1_f32_m", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->s, "matmul_id_q5_1_f32_s", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_l, "matmul_id_q5_1_f32_aligned_l", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_m, "matmul_id_q5_1_f32_aligned_m", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_s, "matmul_id_q5_1_f32_aligned_s", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->l, "matmul_id_q5_1_f32_l", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->m, "matmul_id_q5_1_f32_m", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->s, "matmul_id_q5_1_f32_s", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_l, "matmul_id_q5_1_f32_aligned_l", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_m, "matmul_id_q5_1_f32_aligned_m", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_s, "matmul_id_q5_1_f32_aligned_s", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->l, "matmul_id_q8_0_f32_l", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->m, "matmul_id_q8_0_f32_m", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->s, "matmul_id_q8_0_f32_s", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_l, "matmul_id_q8_0_f32_aligned_l", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_m, "matmul_id_q8_0_f32_aligned_m", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_s, "matmul_id_q8_0_f32_aligned_s", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->l, "matmul_id_q8_0_f32_l", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->m, "matmul_id_q8_0_f32_m", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->s, "matmul_id_q8_0_f32_s", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_l, "matmul_id_q8_0_f32_aligned_l", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_m, "matmul_id_q8_0_f32_aligned_m", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_s, "matmul_id_q8_0_f32_aligned_s", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->l, "matmul_id_q2_k_f32_l", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->m, "matmul_id_q2_k_f32_m", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->s, "matmul_id_q2_k_f32_s", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_l, "matmul_id_q2_k_f32_aligned_l", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_m, "matmul_id_q2_k_f32_aligned_m", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_s, "matmul_id_q2_k_f32_aligned_s", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->l, "matmul_id_q2_k_f32_l", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->m, "matmul_id_q2_k_f32_m", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->s, "matmul_id_q2_k_f32_s", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_l, "matmul_id_q2_k_f32_aligned_l", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_m, "matmul_id_q2_k_f32_aligned_m", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_s, "matmul_id_q2_k_f32_aligned_s", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->l, "matmul_id_q3_k_f32_l", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->m, "matmul_id_q3_k_f32_m", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->s, "matmul_id_q3_k_f32_s", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_l, "matmul_id_q3_k_f32_aligned_l", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_m, "matmul_id_q3_k_f32_aligned_m", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_s, "matmul_id_q3_k_f32_aligned_s", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->l, "matmul_id_q3_k_f32_l", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->m, "matmul_id_q3_k_f32_m", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->s, "matmul_id_q3_k_f32_s", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_l, "matmul_id_q3_k_f32_aligned_l", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_m, "matmul_id_q3_k_f32_aligned_m", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_s, "matmul_id_q3_k_f32_aligned_s", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->l, "matmul_id_q4_k_f32_l", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->m, "matmul_id_q4_k_f32_m", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->s, "matmul_id_q4_k_f32_s", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_l, "matmul_id_q4_k_f32_aligned_l", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_m, "matmul_id_q4_k_f32_aligned_m", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_s, "matmul_id_q4_k_f32_aligned_s", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->l, "matmul_id_q4_k_f32_l", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->m, "matmul_id_q4_k_f32_m", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->s, "matmul_id_q4_k_f32_s", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_l, "matmul_id_q4_k_f32_aligned_l", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_m, "matmul_id_q4_k_f32_aligned_m", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_s, "matmul_id_q4_k_f32_aligned_s", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->l, "matmul_id_q5_k_f32_l", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->m, "matmul_id_q5_k_f32_m", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->s, "matmul_id_q5_k_f32_s", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_l, "matmul_id_q5_k_f32_aligned_l", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_m, "matmul_id_q5_k_f32_aligned_m", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_s, "matmul_id_q5_k_f32_aligned_s", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->l, "matmul_id_q5_k_f32_l", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->m, "matmul_id_q5_k_f32_m", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->s, "matmul_id_q5_k_f32_s", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_l, "matmul_id_q5_k_f32_aligned_l", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_m, "matmul_id_q5_k_f32_aligned_m", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_s, "matmul_id_q5_k_f32_aligned_s", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->l, "matmul_id_q6_k_f32_l", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->m, "matmul_id_q6_k_f32_m", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->s, "matmul_id_q6_k_f32_s", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);*/
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->l, "matmul_id_q6_k_f32_l", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->m, "matmul_id_q6_k_f32_m", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->s, "matmul_id_q6_k_f32_s", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
     }
 
     // mul mat vec
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f32_f32",  mul_mat_vec_f32_f32_f32_len,  mul_mat_vec_f32_f32_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f32_f32",  mul_mat_vec_f16_f32_f32_len,  mul_mat_vec_f16_f32_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_0], "mul_mat_vec_q4_0_f32_f32", mul_mat_vec_q4_0_f32_f32_len, mul_mat_vec_q4_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_1], "mul_mat_vec_q4_1_f32_f32", mul_mat_vec_q4_1_f32_f32_len, mul_mat_vec_q4_1_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
@@ -1419,6 +1448,7 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_K_f32_f32", mul_mat_vec_q5_K_f32_f32_len, mul_mat_vec_q5_K_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_K_f32_f32", mul_mat_vec_q6_K_f32_f32_len, mul_mat_vec_q6_K_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
 
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f16_f32",  mul_mat_vec_f32_f16_f32_len,  mul_mat_vec_f32_f16_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f16_f32",  mul_mat_vec_f16_f16_f32_len,  mul_mat_vec_f16_f16_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_0], "mul_mat_vec_q4_0_f16_f32", mul_mat_vec_q4_0_f16_f32_len, mul_mat_vec_q4_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_1], "mul_mat_vec_q4_1_f16_f32", mul_mat_vec_q4_1_f16_f32_len, mul_mat_vec_q4_1_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
@@ -1431,17 +1461,18 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_K_f16_f32", mul_mat_vec_q5_K_f16_f32_len, mul_mat_vec_q5_K_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_K_f16_f32", mul_mat_vec_q6_K_f16_f32_len, mul_mat_vec_q6_K_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
 
-    /*ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F16 ], "mul_mat_vec_id_f16_f32",  mul_mat_vec_id_f16_f32_len,  mul_mat_vec_id_f16_f32_data,  "main", 4, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_0], "mul_mat_vec_id_q4_0_f32", mul_mat_vec_id_q4_0_f32_len, mul_mat_vec_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_1], "mul_mat_vec_id_q4_1_f32", mul_mat_vec_id_q4_1_f32_len, mul_mat_vec_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_0], "mul_mat_vec_id_q5_0_f32", mul_mat_vec_id_q5_0_f32_len, mul_mat_vec_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_1], "mul_mat_vec_id_q5_1_f32", mul_mat_vec_id_q5_1_f32_len, mul_mat_vec_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q8_0], "mul_mat_vec_id_q8_0_f32", mul_mat_vec_id_q8_0_f32_len, mul_mat_vec_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q2_K], "mul_mat_vec_id_q2_K_f32", mul_mat_vec_id_q2_K_f32_len, mul_mat_vec_id_q2_K_f32_data, "main", 4, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q3_K], "mul_mat_vec_id_q3_K_f32", mul_mat_vec_id_q3_K_f32_len, mul_mat_vec_id_q3_K_f32_data, "main", 4, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_K], "mul_mat_vec_id_q4_K_f32", mul_mat_vec_id_q4_K_f32_len, mul_mat_vec_id_q4_K_f32_data, "main", 4, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_K], "mul_mat_vec_id_q5_K_f32", mul_mat_vec_id_q5_K_f32_len, mul_mat_vec_id_q5_K_f32_data, "main", 4, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q6_K], "mul_mat_vec_id_q6_K_f32", mul_mat_vec_id_q6_K_f32_len, mul_mat_vec_id_q6_K_f32_data, "main", 4, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);*/
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F32 ], "mul_mat_vec_id_f32_f32",  mul_mat_vec_id_f32_f32_len,  mul_mat_vec_id_f32_f32_data,  "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F16 ], "mul_mat_vec_id_f16_f32",  mul_mat_vec_id_f16_f32_len,  mul_mat_vec_id_f16_f32_data,  "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_0], "mul_mat_vec_id_q4_0_f32", mul_mat_vec_id_q4_0_f32_len, mul_mat_vec_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_1], "mul_mat_vec_id_q4_1_f32", mul_mat_vec_id_q4_1_f32_len, mul_mat_vec_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_0], "mul_mat_vec_id_q5_0_f32", mul_mat_vec_id_q5_0_f32_len, mul_mat_vec_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_1], "mul_mat_vec_id_q5_1_f32", mul_mat_vec_id_q5_1_f32_len, mul_mat_vec_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q8_0], "mul_mat_vec_id_q8_0_f32", mul_mat_vec_id_q8_0_f32_len, mul_mat_vec_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q2_K], "mul_mat_vec_id_q2_K_f32", mul_mat_vec_id_q2_K_f32_len, mul_mat_vec_id_q2_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q3_K], "mul_mat_vec_id_q3_K_f32", mul_mat_vec_id_q3_K_f32_len, mul_mat_vec_id_q3_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_K], "mul_mat_vec_id_q4_K_f32", mul_mat_vec_id_q4_K_f32_len, mul_mat_vec_id_q4_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_K], "mul_mat_vec_id_q5_K_f32", mul_mat_vec_id_q5_K_f32_len, mul_mat_vec_id_q5_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q6_K], "mul_mat_vec_id_q6_K_f32", mul_mat_vec_id_q6_K_f32_len, mul_mat_vec_id_q6_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
 
     // dequant shaders
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_F32 ], "f32_to_f16",   dequant_f32_len,  dequant_f32_data,  "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
@@ -1489,6 +1520,8 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
 
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_mul_f32, "mul_f32", mul_f32_len, mul_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
 
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_div_f32, "div_f32", div_f32_len, div_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
+
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_scale_f32, "scale_f32", scale_f32_len, scale_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
 
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_sqr_f32, "sqr_f32", sqr_f32_len, sqr_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
@@ -1501,16 +1534,18 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
 
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_diag_mask_inf_f32, "diag_mask_inf_f32", diag_mask_inf_f32_len, diag_mask_inf_f32_data, "main", 2, sizeof(vk_op_diag_mask_push_constants), {512, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_soft_max_f32, "soft_max_f32", soft_max_f32_len, soft_max_f32_data, "main", 4, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_soft_max_f32_f16, "soft_max_f32_f16", soft_max_f32_f16_len, soft_max_f32_f16_data, "main", 4, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_soft_max_f32, "soft_max_f32", soft_max_f32_len, soft_max_f32_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_soft_max_f32_f16, "soft_max_f32_f16", soft_max_f32_f16_len, soft_max_f32_f16_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1);
 
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_f32, "rope_f32", rope_f32_len, rope_f32_data, "main", 3, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_f16, "rope_f16", rope_f16_len, rope_f16_data, "main", 3, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_neox_f32, "rope_neox_f32", rope_neox_f32_len, rope_neox_f32_data, "main", 3, sizeof(vk_op_rope_neox_push_constants), {1, 512, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 3, sizeof(vk_op_rope_neox_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_neox_f32, "rope_neox_f32", rope_neox_f32_len, rope_neox_f32_data, "main", 4, sizeof(vk_op_rope_neox_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 4, sizeof(vk_op_rope_neox_push_constants), {1, 512, 1}, {}, 1);
 
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_argsort_f32, "argsort_f32", argsort_f32_len, argsort_f32_data, "main", 2, sizeof(vk_op_argsort_push_constants), {1024, 1, 1}, {}, 1);
+
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_sum_rows_f32, "sum_rows_f32", sum_rows_f32_len, sum_rows_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
 }
 
 static void ggml_vk_print_gpu_info(size_t idx) {
@@ -1859,7 +1894,6 @@ static void ggml_vk_init(ggml_backend_vk_context * ctx, size_t idx) {
     ctx->compute_ctx = nullptr;
     ctx->transfer_ctx = nullptr;
 
-    ctx->disable = false;
     ctx->initialized = true;
 
     ctx->idx = idx;
@@ -1903,6 +1937,9 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_conte
     if (src0_type == GGML_TYPE_F32 && src1_type == GGML_TYPE_F32) {
         return ctx->device->pipeline_matmul_f32;
     }
+    if (src0_type == GGML_TYPE_F32 && src1_type == GGML_TYPE_F16) {
+        return ctx->device->pipeline_matmul_f32_f16;
+    }
     if (src0_type == GGML_TYPE_F16 && src1_type == GGML_TYPE_F32) {
         return ctx->device->pipeline_matmul_f16_f32;
     }
@@ -1931,6 +1968,33 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_conte
     return ctx->device->pipeline_dequant_mul_mat_mat[src0_type];
 }
 
+static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context * ctx, ggml_type a_type, ggml_type b_type) {
+#ifdef GGML_VULKAN_DEBUG
+    std::cerr << "ggml_vk_get_dequantize_mul_mat_vec()" << std::endl;
+#endif
+    GGML_ASSERT(b_type == GGML_TYPE_F32 || b_type == GGML_TYPE_F16);
+
+    switch (a_type) {
+        case GGML_TYPE_F32:
+        case GGML_TYPE_F16:
+        case GGML_TYPE_Q4_0:
+        case GGML_TYPE_Q4_1:
+        case GGML_TYPE_Q5_0:
+        case GGML_TYPE_Q5_1:
+        case GGML_TYPE_Q8_0:
+        case GGML_TYPE_Q2_K:
+        case GGML_TYPE_Q3_K:
+        case GGML_TYPE_Q4_K:
+        case GGML_TYPE_Q5_K:
+        case GGML_TYPE_Q6_K:
+            break;
+        default:
+            return nullptr;
+    }
+
+    return b_type == GGML_TYPE_F32 ? ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[a_type] : ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[a_type];
+}
+
 static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_context * ctx, ggml_type src0_type, ggml_type src1_type) {
 #ifdef GGML_VULKAN_DEBUG
     std::cerr << "ggml_vk_get_mul_mat_mat_id_pipeline()" << std::endl;
@@ -1966,13 +2030,14 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_co
     return ctx->device->pipeline_dequant_mul_mat_mat_id[src0_type];
 }
 
-static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context * ctx, ggml_type a_type, ggml_type b_type) {
+static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context * ctx, ggml_type a_type, ggml_type b_type) {
 #ifdef GGML_VULKAN_DEBUG
     std::cerr << "ggml_vk_get_dequantize_mul_mat_vec()" << std::endl;
 #endif
-    GGML_ASSERT(b_type == GGML_TYPE_F32 || b_type == GGML_TYPE_F16);
+    GGML_ASSERT(b_type == GGML_TYPE_F32);
 
     switch (a_type) {
+        case GGML_TYPE_F32:
         case GGML_TYPE_F16:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
@@ -1989,7 +2054,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context *
             return nullptr;
     }
 
-    return b_type == GGML_TYPE_F32 ? ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[a_type] : ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[a_type];
+    return ctx->device->pipeline_dequant_mul_mat_vec_id_f32[a_type];
 }
 
 static vk_buffer ggml_vk_pool_malloc(ggml_backend_vk_context * ctx, size_t size) {
@@ -2137,7 +2202,11 @@ static void ggml_vk_dispatch_pipeline(ggml_backend_vk_context * ctx, vk_context
     const uint32_t wg1 = CEIL_DIV(elements[1], pipeline->wg_denoms[1]);
     const uint32_t wg2 = CEIL_DIV(elements[2], pipeline->wg_denoms[2]);
 #ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_dispatch_pipeline(" << pipeline->name << ", (" << wg0 << "," << wg1 << "," << wg2 << "))" << std::endl;
+    std::cerr << "ggml_vk_dispatch_pipeline(" << pipeline->name << ", {";
+    for (auto& buffer : buffers) {
+        std::cerr << "(" << buffer.buffer << ", " << buffer.offset << ", " << buffer.size << "), ";
+    }
+    std::cerr << "}, (" << wg0 << "," << wg1 << "," << wg2 << "))" << std::endl;
 #endif
     std::vector<vk::DescriptorBufferInfo> descriptor_buffer_infos;
     std::vector<vk::WriteDescriptorSet> write_descriptor_sets;
@@ -2718,22 +2787,21 @@ static void ggml_vk_matmul(
         ggml_backend_vk_context * ctx, vk_context * subctx, vk_pipeline& pipeline,
         vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& split_k_buffer,
         uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d,
-        uint32_t split_k, uint32_t batch, uint32_t ne02, uint32_t ne12, uint32_t broadcast2, uint32_t broadcast3,
         uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d,
-        uint32_t expert_stride_b, uint32_t expert_stride_d, uint32_t idx, uint32_t nbi1, uint32_t n_as) {
+        uint32_t split_k, uint32_t batch, uint32_t ne02, uint32_t ne12, uint32_t broadcast2, uint32_t broadcast3) {
 #ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_matmul(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), c: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << split_k_buffer.buffer->buffer << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", split_k: " << split_k << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ")" << std::endl;
+    std::cerr << "ggml_vk_matmul(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), d: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << (split_k_buffer.buffer != nullptr ? split_k_buffer.buffer->buffer : VK_NULL_HANDLE) << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ", split_k: " << split_k << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ")" << std::endl;
 #endif
     ggml_vk_sync_buffers(subctx);
     if (split_k == 1) {
-        const vk_mat_mat_push_constants pc = { m, n, k, stride_a, stride_b, stride_d, k, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d, expert_stride_b, expert_stride_d, idx, nbi1, n_as };
+        const vk_mat_mat_push_constants pc = { m, n, k, stride_a, stride_b, stride_d, batch_stride_a, batch_stride_b, batch_stride_d, k, ne02, ne12, broadcast2, broadcast3 };
         ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { a, b, d }, sizeof(vk_mat_mat_push_constants), &pc, { m, n, batch });
         return;
     }
 
     GGML_ASSERT(batch_stride_d == m * n);
 
-    const vk_mat_mat_push_constants pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k), ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d, expert_stride_b, expert_stride_d, idx, nbi1, n_as };
+    const vk_mat_mat_push_constants pc1 = { m, n, k, stride_a, stride_b, stride_d, batch_stride_a, batch_stride_b, batch_stride_d, CEIL_DIV(k, split_k), ne02, ne12, broadcast2, broadcast3 };
     // Make sure enough workgroups get assigned for split k to work
     ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { a, b, split_k_buffer }, sizeof(vk_mat_mat_push_constants), &pc1, { (CEIL_DIV(m, pipeline->wg_denoms[0]) * pipeline->wg_denoms[0]) * split_k, n, batch });
     ggml_vk_sync_buffers(subctx);
@@ -2743,29 +2811,20 @@ static void ggml_vk_matmul(
 
 static void ggml_vk_matmul_id(
         ggml_backend_vk_context * ctx, vk_context * subctx, vk_pipeline& pipeline,
-        vk_subbuffer&& ids, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& a, vk_subbuffer&& split_k_buffer,
+        vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& ids,
         uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d,
-        uint32_t split_k, uint32_t batch, uint32_t ne02, uint32_t ne12, uint32_t broadcast2, uint32_t broadcast3,
         uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d,
-        uint32_t expert_stride_b, uint32_t expert_stride_d, uint32_t idx, uint32_t nbi1, uint32_t n_as) {
+        uint32_t n_as, uint32_t nei0, uint32_t nei1, uint32_t nbi1, uint32_t ne11) {
 #ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_matmul(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), c: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << split_k_buffer.buffer->buffer << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", split_k: " << split_k << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ")" << std::endl;
+    std::cerr << "ggml_vk_matmul_id(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), d: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), ids: (" << ids.buffer->buffer << ", " << ids.offset << ", " << ids.size << "), " <<
+        "m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", " <<
+        "batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ", " <<
+        "n_as: " << n_as << ", nei0: " << nei0 << ", nei1: " << nei1 << ", nbi1: " << nbi1 << ", ne11: " << ne11 << ")" << std::endl;
 #endif
     ggml_vk_sync_buffers(subctx);
-    if (split_k == 1) {
-        const vk_mat_mat_push_constants pc = { m, n, k, stride_a, stride_b, stride_d, k, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d, expert_stride_b, expert_stride_d, idx, nbi1, n_as };
-        ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { ids, b, d, a }, sizeof(vk_mat_mat_push_constants), &pc, { m, n, batch });
-        return;
-    }
-
-    GGML_ASSERT(batch_stride_d == m * n);
-
-    const vk_mat_mat_push_constants pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k), ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d, expert_stride_b, expert_stride_d, idx, nbi1, n_as };
-    // Make sure enough workgroups get assigned for split k to work
-    ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { ids, b, split_k_buffer, a }, sizeof(vk_mat_mat_push_constants), &pc1, { (CEIL_DIV(m, pipeline->wg_denoms[0]) * pipeline->wg_denoms[0]) * split_k, n, batch });
-    ggml_vk_sync_buffers(subctx);
-    const std::array<uint32_t, 2> pc2 = { (uint32_t)(m * n * batch), split_k };
-    ggml_vk_dispatch_pipeline(ctx, subctx, ctx->device->pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(uint32_t), pc2.data(), { m * n * batch, 1, 1 });
+    const vk_mat_mat_id_push_constants pc = { m, n, k, stride_a, stride_b, stride_d, batch_stride_a, batch_stride_b, batch_stride_d,
+                                              nei0, nei1, nbi1, ne11 };
+    ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { a, b, d, ids }, sizeof(vk_mat_mat_id_push_constants), &pc, { m, nei1, n_as });
 }
 
 static bool ggml_vk_dim01_contiguous(const ggml_tensor * tensor) {
@@ -2792,7 +2851,7 @@ static vk_pipeline ggml_vk_get_cpy_pipeline(ggml_backend_vk_context * ctx, ggml_
 
 static void ggml_vk_cpy_to_contiguous(ggml_backend_vk_context * ctx, vk_context * subctx, vk_pipeline pipeline, const ggml_tensor * tensor, vk_subbuffer&& in, vk_subbuffer&& out) {
 #ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_cpy_to_contiguous((" << tensor << ", type=" << tensor->type << ", backend=" << tensor->backend << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << "), ";
+    std::cerr << "ggml_vk_cpy_to_contiguous((" << tensor << ", type=" << tensor->type << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << "), ";
     std::cerr << "buffer in size=" << in.buffer->size << ", buffer out size=" << out.buffer->size << ")" << std::endl;
 #endif
     const int tensor_type_size = ggml_type_size(tensor->type);
@@ -2812,9 +2871,9 @@ static void ggml_vk_cpy_to_contiguous(ggml_backend_vk_context * ctx, vk_context
 
 static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
 #ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
-    std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
+    std::cerr << "ggml_vk_mul_mat_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
 #endif
     GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);  // NOLINT
     GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16);  // NOLINT
@@ -2979,22 +3038,17 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context * su
         ctx, subctx, pipeline,
         { d_X, x_buf_offset, x_sz * ne02 * ne03 }, { d_Y, y_buf_offset, y_sz * ne12 * ne13 },
         { d_D, d_buf_offset, d_sz * ne12 * ne13 }, { ctx->prealloc_split_k, 0, d_sz * ne12 * ne13 * split_k },
-        ne01, ne11, ne10, ne10, ne10, ne01, split_k, ne12*ne13, ne02, ne12, r2, r3, stride_batch_x, stride_batch_y, ne20*ne21,
-        0, 0, 0, 0, 1
+        ne01, ne11, ne10,
+        ne10, ne10, ne01, stride_batch_x, stride_batch_y, ne20*ne21,
+        split_k, ne12*ne13, ne02, ne12, r2, r3
     );  // NOLINT
-
-    if (dst->backend == GGML_BACKEND_TYPE_CPU) {
-        // copy dst to host
-        float * d = (float *) ((char *) dst->data);
-        ggml_vk_buffer_read_async(ctx, subctx, d_D, 0, d, sizeof(float) * d_ne * ne12 * ne13);
-    }
 }
 
 static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
 #ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_vec_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ",  backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
-    std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ",  backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ",  backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
+    std::cerr << "ggml_vk_mul_mat_vec_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
 #endif
     GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);  // NOLINT
     GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16);  // NOLINT
@@ -3138,8 +3192,8 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context
     // compute
     const vk_mat_vec_push_constants pc = {
         (uint32_t)ne00, (uint32_t)ne10, (uint32_t)ne10, (uint32_t)ne01,
-        (uint32_t)ne02, (uint32_t)ne12, (uint32_t)r2, (uint32_t)r3,
         stride_batch_x, stride_batch_y, (uint32_t)(ne20*ne21),
+        (uint32_t)ne02, (uint32_t)ne12, (uint32_t)r2, (uint32_t)r3,
     };
     ggml_vk_sync_buffers(subctx);
     ggml_vk_dispatch_pipeline(ctx, subctx, dmmv, { { d_X, x_buf_offset, x_sz * ne02 * ne03 }, { d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { d_D, d_buf_offset, d_sz * ne22 * ne23} }, sizeof(vk_mat_vec_push_constants), &pc, { (uint32_t)ne01, (uint32_t)(ne12 * ne13), 1});
@@ -3147,12 +3201,11 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context
 
 static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
 #ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_p021_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ",  backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
-    std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ",  backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ",  backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
+    std::cerr << "ggml_vk_mul_mat_p021_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
 #endif
     GGML_ASSERT(ggml_is_permuted(src0) && ggml_is_permuted(src1));
-    GGML_ASSERT(src0->backend == GGML_BACKEND_TYPE_GPU);
     GGML_ASSERT(src0->nb[0] <= src0->nb[1] && src0->nb[2] <= src0->nb[3]);  // NOLINT
     GGML_ASSERT(src1->nb[0] <= src1->nb[1] && src1->nb[2] <= src1->nb[3]);  // NOLINT
     GGML_ASSERT(src0->type == GGML_TYPE_F16);
@@ -3217,25 +3270,17 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_c
     const std::array<uint32_t, 6> pc = { (uint32_t)ne00, (uint32_t)ne01, (uint32_t)ne02, (uint32_t)ne12, (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) };
     ggml_vk_sync_buffers(subctx);
     ggml_vk_dispatch_pipeline(ctx, subctx, ctx->device->pipeline_mul_mat_vec_p021_f16_f32, { { d_Qx, qx_buf_offset, qx_sz }, { d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { d_D, d_buffer_offset, d_sz + d_shader_offset } }, 6 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 });
-
-    if (dst->backend == GGML_BACKEND_TYPE_CPU) {
-        // copy dst to host
-        float * d = (float *) dst->data;
-        ggml_vk_sync_buffers(subctx);
-        ggml_vk_buffer_read_async(ctx, subctx, d_D, d_buf_offset, d, sizeof(float) * d_ne);
-    }
 }
 
 static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
 #ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_nc_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ",  backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
-    std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ",  backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ",  backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
+    std::cerr << "ggml_vk_mul_mat_nc_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
 #endif
     GGML_ASSERT(!ggml_is_transposed(src0));
     GGML_ASSERT(!ggml_is_transposed(src1));
     GGML_ASSERT(!ggml_is_permuted(src0));
-    GGML_ASSERT(src0->backend == GGML_BACKEND_TYPE_GPU);
     GGML_ASSERT(src0->type == GGML_TYPE_F16);
     GGML_ASSERT(src1->type == GGML_TYPE_F32);
 
@@ -3302,52 +3347,32 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_con
     const std::array<uint32_t, 7> pc = { (uint32_t)ne00, (uint32_t)ne01, row_stride_x, channel_stride_x, (uint32_t)(ne12 / ne02), (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) };
     ggml_vk_sync_buffers(subctx);
     ggml_vk_dispatch_pipeline(ctx, subctx, ctx->device->pipeline_mul_mat_vec_nc_f16_f32, { { d_Qx, qx_buf_offset, qx_sz }, { d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { d_D, d_buffer_offset, d_sz + d_shader_offset } }, 7 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 });
-
-    if (dst->backend == GGML_BACKEND_TYPE_CPU) {
-        // copy dst to host
-        float * d = (float *) dst->data;
-        ggml_vk_sync_buffers(subctx);
-        ggml_vk_buffer_read_async(ctx, subctx, d_D, d_buf_offset, d, sizeof(float) * d_ne);
-    }
-}
-
-static bool ggml_vk_can_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * dst) {
-    const uint64_t ne10 = src1->ne[0];
-
-    const uint64_t ne0 = dst->ne[0];
-    const uint64_t ne1 = dst->ne[1];
-
-    // TODO: find the optimal values for these
-    return (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) &&
-           (src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16 || ggml_is_quantized(src1->type)) &&
-           dst->type == GGML_TYPE_F32 &&
-           ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_TYPE_GPU);
 }
 
 static void ggml_vk_mul_mat(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
 #ifdef GGML_VULKAN_DEBUG
     std::cerr << "ggml_vk_mul_mat(" << src0 << ", " << src1 << ", " << dst << ")" << std::endl;
 #endif
-    if (src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && src1->ne[1] == 1) {
+    if (src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && dst->ne[1] == 1) {
         ggml_vk_mul_mat_vec_p021_f16_f32(ctx, subctx, src0, src1, dst);
-    } else if (src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && src1->ne[1] == 1) {
+    } else if (src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && dst->ne[1] == 1) {
         ggml_vk_mul_mat_vec_nc_f16_f32(ctx, subctx, src0, src1, dst);
-    } else if (src1->ne[1] == 1 && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type))) {
+    } else if (dst->ne[1] == 1 && (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type))) {
         ggml_vk_mul_mat_vec_q_f16(ctx, subctx, src0, src1, dst);
     } else {
         ggml_vk_mul_mat_q_f16(ctx, subctx, src0, src1, dst);
     }
 }
 
-/*static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * ids, ggml_tensor * dst) {
+static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * ids, ggml_tensor * dst) {
 #ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_id_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
-    std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
-    std::cerr << "), (" << ids << ", name=" << ids->name << ", type=" << ids->type << ", backend=" << ids->backend << ", ne0=" << ids->ne[0] << ", ne1=" << ids->ne[1] << ", ne2=" << ids->ne[2] << ", ne3=" << ids->ne[3] << ", nb0=" << ids->nb[0] << ", nb1=" << ids->nb[1] << ", nb2=" << ids->nb[2] << ", nb3=" << ids->nb[3];
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
+    std::cerr << "ggml_vk_mul_mat_id_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
+    std::cerr << "), (" << ids << ", name=" << ids->name << ", type=" << ids->type << ", ne0=" << ids->ne[0] << ", ne1=" << ids->ne[1] << ", ne2=" << ids->ne[2] << ", ne3=" << ids->ne[3] << ", nb0=" << ids->nb[0] << ", nb1=" << ids->nb[1] << ", nb2=" << ids->nb[2] << ", nb3=" << ids->nb[3];
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
 #endif
-    GGML_ASSERT(src0->type == GGML_TYPE_I32);
     GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16);  // NOLINT
+    GGML_ASSERT(ids->type == GGML_TYPE_I32);
 
     const uint64_t ne00 = src0->ne[0];
     const uint64_t ne01 = src0->ne[1];
@@ -3359,16 +3384,18 @@ static void ggml_vk_mul_mat(ggml_backend_vk_context * ctx, vk_context * subctx,
     const uint64_t ne12 = src1->ne[2];
     const uint64_t ne13 = src1->ne[3];
 
-    const uint32_t nb11 = src1->nb[1];
+    const uint64_t nei0 = ids->ne[0];
+    const uint64_t nei1 = ids->ne[1];
+    GGML_ASSERT(nei0 * nei1 <= 2048);
+
+    const uint32_t nbi1 = ids->nb[1];
+    const uint32_t nbi2 = ids->nb[2];
 
     const uint64_t ne20 = dst->ne[0];
     const uint64_t ne21 = dst->ne[1];
+    const uint64_t ne22 = dst->ne[2];
+    const uint64_t ne23 = dst->ne[3];
 
-    const uint64_t r2 = ne12 / ne02;
-    const uint64_t r3 = ne13 / ne03;
-
-    const uint32_t nbi1 = src0->nb[1];
-    const uint32_t idx = ((uint32_t *) dst->op_params)[0];
     const uint64_t n_as = ne02;
 
     GGML_ASSERT(n_as <= 8);
@@ -3382,15 +3409,20 @@ static void ggml_vk_mul_mat(ggml_backend_vk_context * ctx, vk_context * subctx,
     size_t qx_buf_offset = 0;
     vk_buffer d_Qy;
     size_t qy_buf_offset = 0;
+    vk_buffer d_ids;
+    size_t ids_buf_offset = 0;
 
     bool src0_uma = false;
     bool src1_uma = false;
+    bool ids_uma = false;
 
     if (ctx->device->uma) {
         ggml_vk_host_get(ctx, src0->data, d_Qx, qx_buf_offset);
         ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset);
+        ggml_vk_host_get(ctx, ids->data, d_ids, ids_buf_offset);
         src0_uma = d_Qx != nullptr;
         src1_uma = d_Qy != nullptr;
+        ids_uma = d_ids != nullptr;
     }
 
     const bool x_non_contig = !ggml_vk_dim01_contiguous(src0);
@@ -3410,27 +3442,25 @@ static void ggml_vk_mul_mat(ggml_backend_vk_context * ctx, vk_context * subctx,
     // Not implemented
     GGML_ASSERT(y_non_contig || !qy_needs_dequant);  // NOLINT
 
-    const int x_ne = ne01 * ne00;
-    const int y_ne = ne11 * ne10;
-    const int d_ne = ne11 * ne01;
+    const uint64_t x_ne = ne01 * ne00;
+    const uint64_t y_ne = ne11 * ne10;
+    const uint64_t d_ne = ne21 * ne20;
 
-    const uint32_t kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ctx, mmp, ne01, ne11));
-    const bool aligned = ne10 == kpad && ne01 > 8 && ne11 > 8;
+    const uint32_t kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ctx, mmp, ne01, nei1));
+    const bool aligned = ne10 == kpad && ne01 > 8 && nei1 > 8;
 
-    const uint32_t split_k = ggml_vk_guess_split_k(ne01, ne11, ne10);
-
-    vk_pipeline pipeline = ggml_vk_guess_matmul_pipeline(ctx, mmp, ne01, ne11, aligned);
+    vk_pipeline pipeline = ggml_vk_guess_matmul_pipeline(ctx, mmp, ne01, nei1, aligned);
 
     const uint64_t qx_sz = ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type);
     const uint64_t qy_sz = ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type);
     const uint64_t x_sz = !qx_needs_dequant ? qx_sz : sizeof(ggml_fp16_t) * x_ne;
     const uint64_t y_sz = y_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne;
+    const uint64_t ids_sz = nbi2;
     const uint64_t d_sz = sizeof(float) * d_ne;
 
     vk_buffer d_D = extra->buffer_gpu.lock();
     const uint64_t d_buf_offset = extra->offset;
     GGML_ASSERT(d_D != nullptr);
-    GGML_ASSERT(d_D->size >= d_buf_offset + d_sz * ne02 * ne03);
     vk_buffer d_X;
     uint64_t x_buf_offset = 0;
     vk_buffer d_Y;
@@ -3445,6 +3475,11 @@ static void ggml_vk_mul_mat(ggml_backend_vk_context * ctx, vk_context * subctx,
         qy_buf_offset = extra_src1->offset;
         GGML_ASSERT(d_Qy != nullptr);
     }
+    if (!ids_uma) {
+        d_ids = extra_ids->buffer_gpu.lock();
+        ids_buf_offset = extra_ids->offset;
+        GGML_ASSERT(d_ids != nullptr);
+    }
     if (qx_needs_dequant) {
         d_X = ctx->prealloc_x;
         GGML_ASSERT(d_X->size >= x_sz * ne02 * ne03);
@@ -3486,9 +3521,6 @@ static void ggml_vk_mul_mat(ggml_backend_vk_context * ctx, vk_context * subctx,
     if (qy_needs_dequant) {
         ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_1, 1);
     }
-    if (split_k > 1) {
-        ggml_pipeline_allocate_descriptor_sets(ctx, ctx->device->pipeline_matmul_split_k_reduce, 1);
-    }
 
     if (x_non_contig) {
         ggml_vk_cpy_to_contiguous(ctx, subctx, to_fp16_vk_0, src0, { d_Qx, qx_buf_offset, VK_WHOLE_SIZE }, { d_X, 0, VK_WHOLE_SIZE });
@@ -3513,23 +3545,26 @@ static void ggml_vk_mul_mat(ggml_backend_vk_context * ctx, vk_context * subctx,
     }
 
     // compute
-    ggml_vk_matmul(
+    ggml_vk_matmul_id(
         ctx, subctx, pipeline,
         { d_X, x_buf_offset, x_sz * ne02 * ne03 }, { d_Y, y_buf_offset, y_sz * ne12 * ne13 },
-        { d_D, d_buf_offset, d_sz * ne12 * ne13 }, { ctx->prealloc_split_k, 0, d_sz * ne12 * ne13 * split_k },
-        ne01, ne11, ne10, ne10, ne10, ne01, split_k, ne12*ne13, ne02, ne12, r2, r3, stride_batch_x, stride_batch_y, ne20*ne21,
-        nb11 / ggml_type_size(src1->type), ne20, idx, nbi1, n_as
+        { d_D, d_buf_offset, d_sz * ne22 * ne23 }, { d_ids, ids_buf_offset, ids_sz },
+        ne01, ne21, ne10, ne10, ne10, ne01,
+        stride_batch_x, stride_batch_y, ne20*ne21,
+        n_as, nei0, nei1, nbi1 / ggml_type_size(ids->type), ne11
     );  // NOLINT
 }
 
-static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * ids, ggml_tensor * dst) {
 #ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_vec_id_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ",  backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
-    std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ",  backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ",  backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
+    std::cerr << "ggml_vk_mul_mat_vec_id_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
+    std::cerr << "), (" << ids << ", name=" << ids->name << ", type=" << ids->type << ", ne0=" << ids->ne[0] << ", ne1=" << ids->ne[1] << ", ne2=" << ids->ne[2] << ", ne3=" << ids->ne[3] << ", nb0=" << ids->nb[0] << ", nb1=" << ids->nb[1] << ", nb2=" << ids->nb[2] << ", nb3=" << ids->nb[3];
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
 #endif
     GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);  // NOLINT
     GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16);  // NOLINT
+    GGML_ASSERT(ids->type == GGML_TYPE_I32);
 
     const uint64_t ne00 = src0->ne[0];
     const uint64_t ne01 = src0->ne[1];
@@ -3541,36 +3576,41 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
     const uint64_t ne12 = src1->ne[2];
     const uint64_t ne13 = src1->ne[3];
 
-    GGML_ASSERT(ne11 == 1);
+    const uint64_t nei0 = ids->ne[0];
+    const uint64_t nei1 = ids->ne[1];
+
+    const uint64_t nbi2 = ids->nb[2];
+
+    GGML_ASSERT(nei1 == 1);
 
     const uint64_t ne20 = dst->ne[0];
     const uint64_t ne21 = dst->ne[1];
     const uint64_t ne22 = dst->ne[2];
     const uint64_t ne23 = dst->ne[3];
 
-    const uint64_t nb22  = dst->nb[2];
-    const uint64_t nb23  = dst->nb[3];
-
-    const uint64_t r2 = ne12 / ne02;
-    const uint64_t r3 = ne13 / ne03;
-
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
     ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
     ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
+    ggml_tensor_extra_gpu * extra_ids = (ggml_tensor_extra_gpu *) ids->extra;
 
     vk_buffer d_Qx;
     size_t qx_buf_offset = 0;
     vk_buffer d_Qy;
     size_t qy_buf_offset = 0;
+    vk_buffer d_ids;
+    size_t ids_buf_offset = 0;
 
     bool src0_uma = false;
     bool src1_uma = false;
+    bool ids_uma = false;
 
     if (ctx->device->uma) {
         ggml_vk_host_get(ctx, src0->data, d_Qx, qx_buf_offset);
         ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset);
+        ggml_vk_host_get(ctx, ids->data, d_ids, ids_buf_offset);
         src0_uma = d_Qx != nullptr;
         src1_uma = d_Qy != nullptr;
+        ids_uma = d_ids != nullptr;
     }
 
     const bool x_non_contig = !ggml_vk_dim01_contiguous(src0);
@@ -3586,12 +3626,13 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
 
     const uint64_t x_ne = ne01 * ne00;
     const uint64_t y_ne = ne11 * ne10;
-    const uint64_t d_ne = ne11 * ne01;
+    const uint64_t d_ne = ne21 * ne20;
 
     const uint64_t qx_sz = ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), ctx->device->properties.limits.minStorageBufferOffsetAlignment);
     const uint64_t qy_sz = ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type);
     const uint64_t x_sz = x_non_contig ? ggml_vk_align_size(ggml_type_size(src0->type) * x_ne, ctx->device->properties.limits.minStorageBufferOffsetAlignment) : qx_sz;
     const uint64_t y_sz = f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne;
+    const uint64_t ids_sz = nbi2;
     const uint64_t d_sz = sizeof(float) * d_ne;
 
     vk_buffer d_D = extra->buffer_gpu.lock();
@@ -3611,6 +3652,11 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
         qy_buf_offset = extra_src1->offset;
         GGML_ASSERT(d_Qy != nullptr);
     }
+    if(!ids_uma) {
+        d_ids = extra_ids->buffer_gpu.lock();
+        ids_buf_offset = extra_ids->offset;
+        GGML_ASSERT(d_ids != nullptr);
+    }
     if (qx_needs_dequant) {
         d_X = ctx->prealloc_x;
     } else {
@@ -3636,7 +3682,7 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
     } else {
         to_fp16_vk_1 = ggml_vk_get_to_fp16(ctx, src1->type);
     }
-    vk_pipeline dmmv = ggml_vk_get_dequantize_mul_mat_vec(ctx, src0->type, src1->type);
+    vk_pipeline dmmv = ggml_vk_get_dequantize_mul_mat_vec_id(ctx, src0->type, src1->type);
     GGML_ASSERT(!qx_needs_dequant || to_fp16_vk_0 != nullptr);  // NOLINT
     GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr);  // NOLINT
     GGML_ASSERT(dmmv != nullptr);
@@ -3659,27 +3705,34 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
         ggml_vk_cpy_to_contiguous(ctx, subctx, to_fp16_vk_1, src1, { d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { d_Y, 0, VK_WHOLE_SIZE });
     }
 
-    uint32_t stride_batch_x = ne00*ne01;
     uint32_t stride_batch_y = ne10*ne11;
 
-    if (!ggml_vk_dim01_contiguous(src0) && !qx_needs_dequant) {
-        stride_batch_x = src0->nb[0] / ggml_type_size(src0->type);
-    }
-
     if (!ggml_vk_dim01_contiguous(src1) && !qy_needs_dequant) {
         stride_batch_y = src1->nb[0] / ggml_type_size(src1->type);
     }
 
     // compute
-    const vk_mat_vec_push_constants pc = {
+    const vk_mat_vec_id_push_constants pc = {
         (uint32_t)ne00, (uint32_t)ne10, (uint32_t)ne10, (uint32_t)ne01,
-        (uint32_t)ne02, (uint32_t)ne12, (uint32_t)r2, (uint32_t)r3,
-        stride_batch_x, stride_batch_y, (uint32_t)(ne20*ne21),
-        // 0, 0, 0, 0, 1
+        (uint32_t)x_ne, stride_batch_y, (uint32_t)(ne20*ne21),
+        (uint32_t)nei0, (uint32_t)ne11,
     };
     ggml_vk_sync_buffers(subctx);
-    ggml_vk_dispatch_pipeline(ctx, subctx, dmmv, { { d_X, x_buf_offset, x_sz * ne02 * ne03 }, { d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { d_D, d_buf_offset, d_sz * ne22 * ne23} }, sizeof(vk_mat_vec_push_constants), &pc, { (uint32_t)ne01, (uint32_t)(ne12 * ne13), 1});
-}*/
+    ggml_vk_dispatch_pipeline(ctx, subctx, dmmv,
+        { { d_X, x_buf_offset, x_sz * ne02 * ne03 }, { d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { d_D, d_buf_offset, d_sz * ne22 * ne23}, { d_ids, ids_buf_offset, ids_sz } },
+        sizeof(vk_mat_vec_id_push_constants), &pc, { (uint32_t)ne01, (uint32_t)nei0, 1 });
+}
+
+static void ggml_vk_mul_mat_id(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * src2, ggml_tensor * dst) {
+#ifdef GGML_VULKAN_DEBUG
+    std::cerr << "ggml_vk_mul_mat_id(" << src0 << ", " << src1 << ", " << src2 << ", " << dst << ")" << std::endl;
+#endif
+    if (src2->ne[1] == 1 && (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type))) {
+        ggml_vk_mul_mat_vec_id_q_f16(ctx, subctx, src0, src1, src2, dst);
+    } else {
+        ggml_vk_mul_mat_id_q_f16(ctx, subctx, src0, src1, src2, dst);
+    }
+}
 
 static void ggml_vk_op_repeat(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     // guaranteed to be an integer due to the check in ggml_can_repeat
@@ -3711,8 +3764,6 @@ static void ggml_vk_op_repeat(ggml_backend_vk_context * ctx, vk_context * subctx
     // TODO: support for transposed / permuted tensors
     GGML_ASSERT(nb0  == sizeof(float));
     GGML_ASSERT(nb00 == sizeof(float));
-    GGML_ASSERT(src0->backend == GGML_BACKEND_TYPE_GPU);
-    GGML_ASSERT(dst->backend == GGML_BACKEND_TYPE_GPU);
 
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
     ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
@@ -3773,6 +3824,11 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
             return ctx->device->pipeline_mul_f32;
         }
         return nullptr;
+    case GGML_OP_DIV:
+        if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
+            return ctx->device->pipeline_div_f32;
+        }
+        return nullptr;
     case GGML_OP_SCALE:
         if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
             return ctx->device->pipeline_scale_f32;
@@ -3834,7 +3890,7 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
         if (src0->type == GGML_TYPE_F32 && (src1 == nullptr || src1->type == GGML_TYPE_F32) && dst->type == GGML_TYPE_F32) {
             return ctx->device->pipeline_soft_max_f32;
         }
-        if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F16 && src2->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F32) {
+        if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F32) {
             return ctx->device->pipeline_soft_max_f32_f16;
         }
         return nullptr;
@@ -3842,11 +3898,6 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
         {
             const int mode = ((const int32_t *) dst->op_params)[2];
             const bool is_neox = mode & 2;
-            const bool is_glm  = mode & 4;
-
-            if (is_glm) {
-                return nullptr;
-            }
 
             if (is_neox) {
                 if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
@@ -3870,9 +3921,16 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
             return ctx->device->pipeline_argsort_f32;
         }
         return nullptr;
+    case GGML_OP_SUM_ROWS:
+        if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
+            return ctx->device->pipeline_sum_rows_f32;
+        }
+        return nullptr;
     default:
         return nullptr;
     }
+
+    GGML_UNUSED(src2);
 }
 
 static ggml_vk_func_t ggml_vk_op_get_func(ggml_op op) {
@@ -3890,6 +3948,7 @@ static bool ggml_vk_op_supports_incontiguous(ggml_op op) {
     case GGML_OP_GET_ROWS:
     case GGML_OP_ADD:
     case GGML_OP_MUL:
+    case GGML_OP_DIV:
     case GGML_OP_SCALE:
     case GGML_OP_SQR:
     case GGML_OP_CLAMP:
@@ -3902,23 +3961,24 @@ static bool ggml_vk_op_supports_incontiguous(ggml_op op) {
 template<typename PC>
 static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * src2, ggml_tensor * dst, ggml_op op, const PC&& pc) {
 #ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_op_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    std::cerr << "ggml_vk_op_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
     if (src1 != nullptr) {
-        std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
+        std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
     }
     if (src2 != nullptr) {
-        std::cerr << "), (" << src2 << ", name=" << src2->name << ", type=" << src2->type << ", backend=" << src2->backend << ", ne0=" << src2->ne[0] << ", ne1=" << src2->ne[1] << ", ne2=" << src2->ne[2] << ", ne3=" << src2->ne[3] << ", nb0=" << src2->nb[0] << ", nb1=" << src2->nb[1] << ", nb2=" << src2->nb[2] << ", nb3=" << src2->nb[3];
+        std::cerr << "), (" << src2 << ", name=" << src2->name << ", type=" << src2->type << ", ne0=" << src2->ne[0] << ", ne1=" << src2->ne[1] << ", ne2=" << src2->ne[2] << ", ne3=" << src2->ne[3] << ", nb0=" << src2->nb[0] << ", nb1=" << src2->nb[1] << ", nb2=" << src2->nb[2] << ", nb3=" << src2->nb[3];
     }
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "), " << ggml_op_name(op) << ")" << std::endl;
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "), " << ggml_op_name(op) << ")" << std::endl;
 #endif
     GGML_ASSERT(op == GGML_OP_GET_ROWS || (!ggml_is_quantized(src0->type) && (src1 == nullptr || !ggml_is_quantized(src1->type))));  // NOLINT
-    GGML_ASSERT(op == GGML_OP_CPY || ggml_vk_dim01_contiguous(src0));  // NOLINT
+    GGML_ASSERT(ggml_vk_op_supports_incontiguous(op) || ggml_vk_dim01_contiguous(src0));  // NOLINT
     GGML_ASSERT(dst->extra != nullptr);
     const uint64_t ne00 = src0->ne[0];
     const uint64_t ne01 = src0->ne[1];
     const uint64_t ne02 = src0->ne[2];
     const uint64_t ne03 = src0->ne[3];
     const uint64_t ne0 = ne00 * ne01;
+
     const bool use_src1 = src1 != nullptr;
     const uint64_t ne10 = use_src1 ? src1->ne[0] : 0;
     const uint64_t ne11 = use_src1 ? src1->ne[1] : 0;
@@ -3926,11 +3986,19 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
     const uint64_t ne13 = use_src1 ? src1->ne[3] : 0;
     const uint64_t ne1 = ne10 * ne11;
     // const uint64_t nb10 = use_src1 ? src1->nb[0] : 0;
-    const uint64_t nb2  = dst->nb[2];
-    const uint64_t nb3  = dst->nb[3];
 
     const bool use_src2 = src2 != nullptr;
-    const uint64_t ne2 = use_src2 ? src2->ne[0] * src2->ne[1] : 0;
+    const uint64_t ne20 = use_src2 ? src2->ne[0] : 0;
+    const uint64_t ne21 = use_src2 ? src2->ne[1] : 0;
+    const uint64_t ne22 = use_src2 ? src2->ne[2] : 0;
+    const uint64_t ne23 = use_src2 ? src2->ne[3] : 0;
+    const uint64_t ne2 = ne20 * ne21;
+
+    const uint64_t ned0 = dst->ne[0];
+    const uint64_t ned1 = dst->ne[1];
+    const uint64_t ned2 = dst->ne[2];
+    const uint64_t ned3 = dst->ne[3];
+    const uint64_t ned = ned0 * ned1;
 
     vk_pipeline pipeline = ggml_vk_op_get_pipeline(ctx, src0, src1, src2, dst, op);
     ggml_vk_func_t op_func;
@@ -3976,20 +4044,20 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
             src1_uma = d_Y != nullptr;
         }
         if (use_src2) {
-            ggml_vk_host_get(ctx, src1->data, d_Z, z_buf_offset);
+            ggml_vk_host_get(ctx, src2->data, d_Z, z_buf_offset);
             src2_uma = d_Z != nullptr;
         }
     }
 
-    uint64_t x_sz = ggml_vk_align_size(ggml_type_size(src0->type)/ggml_blck_size(src0->type) * ne0, ctx->device->properties.limits.minStorageBufferOffsetAlignment);
-    uint64_t y_sz = use_src1 ? ggml_vk_align_size(ggml_type_size(src1->type) * ne1, ctx->device->properties.limits.minStorageBufferOffsetAlignment) : 0;
-    uint64_t z_sz = use_src2 ? ggml_vk_align_size(ggml_type_size(src2->type) * ne2, ctx->device->properties.limits.minStorageBufferOffsetAlignment) : 0;
-    uint64_t d_sz = ggml_type_size(dst->type) * ne0;
+    uint64_t x_sz = ggml_type_size(src0->type)/ggml_blck_size(src0->type) * ne0;
+    uint64_t y_sz = use_src1 ? ggml_type_size(src1->type) * ne1 : 0;
+    uint64_t z_sz = use_src2 ? ggml_type_size(src2->type) * ne2 : 0;
+    uint64_t d_sz = ggml_type_size(dst->type) * ned;
 
     vk_buffer d_D = extra->buffer_gpu.lock();
 
     // Workaround for tiny tensor inputs on ROPE
-    if (use_src1 && src1->backend == GGML_BACKEND_TYPE_GPU && y_sz > d_D->size) {
+    if (use_src1 && y_sz > d_D->size) {
         y_sz = VK_WHOLE_SIZE;
     }
 
@@ -4006,7 +4074,6 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
         y_buf_offset = extra_src1->offset;
         GGML_ASSERT(d_Y != nullptr);
     }
-
     if (use_src2 && !src2_uma) {
         d_Z = extra_src2->buffer_gpu.lock();
         z_buf_offset = extra_src2->offset;
@@ -4016,6 +4083,7 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
     if (op_supports_incontiguous) {
         x_sz = ggml_nbytes(src0);
         y_sz = use_src1 ? ggml_nbytes(src1) : 0;
+        z_sz = use_src2 ? ggml_nbytes(src2) : 0;
         d_sz = ggml_nbytes(dst);
 
         if (x_buf_offset + x_sz >= d_X->size) {
@@ -4024,6 +4092,9 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
         if (use_src1 && y_buf_offset + y_sz >= d_Y->size) {
             y_sz = VK_WHOLE_SIZE;
         }
+        if (use_src2 && z_buf_offset + z_sz >= d_Z->size) {
+            z_sz = VK_WHOLE_SIZE;
+        }
         if (d_buf_offset + d_sz >= d_D->size) {
             d_sz = VK_WHOLE_SIZE;
         }
@@ -4039,6 +4110,7 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
         case GGML_OP_NORM:
         case GGML_OP_RMS_NORM:
         case GGML_OP_SOFT_MAX:
+        case GGML_OP_SUM_ROWS:
             elements = { (uint32_t)ggml_nrows(src0), 1, 1 };
             break;
         case GGML_OP_DIAG_MASK_INF:
@@ -4046,7 +4118,10 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
             elements = { (uint32_t)ggml_nrows(src0), (uint32_t)ne00, 1 };
             break;
         case GGML_OP_GET_ROWS:
-            elements = {  (uint32_t)ne00, (uint32_t)ne10, (uint32_t)(ne11 * ne12) };
+            elements = { (uint32_t)ne00, (uint32_t)ne10, (uint32_t)(ne11 * ne12) };
+            break;
+        case GGML_OP_ARGSORT:
+            elements = { (uint32_t)ne00, (uint32_t)ggml_nrows(src0), 1 };
             break;
         default:
             elements = { (uint32_t)ggml_nelements(src0), 1, 1 };
@@ -4060,13 +4135,16 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
             if (use_src1 && y_sz != VK_WHOLE_SIZE) {
                 y_sz *= ne12 * ne13;
             }
+            if (use_src2 && z_sz != VK_WHOLE_SIZE) {
+                z_sz *= ne22 * ne23;
+            }
             if (d_sz != VK_WHOLE_SIZE) {
-                d_sz *= ne02 * ne03;
+                d_sz *= ned2 * ned3;
             }
         }
 
         if (op == GGML_OP_SOFT_MAX) {
-            // Empty src1 and src2 are possible on soft_max, but the shader needs buffers
+            // Empty src1 is possible in soft_max, but the shader needs a buffer
             vk_subbuffer subbuf_y;
             if (use_src1) {
                 subbuf_y = { d_Y, y_buf_offset, y_sz };
@@ -4074,15 +4152,30 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
                 subbuf_y = { d_X, 0, d_X->size };
             }
 
-            vk_subbuffer subbuf_z;
-            if (use_src2) {
-                subbuf_z = { d_Z, z_buf_offset, z_sz };
-            } else {
-                subbuf_z = { d_X, 0, d_X->size };
-            }
-
             ggml_vk_sync_buffers(subctx);
-            ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset, x_sz }, subbuf_y, subbuf_z, { d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements);
+            ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset, x_sz }, subbuf_y, { d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements);
+        } else if (op == GGML_OP_ROPE) {
+            const int mode          = ((int32_t *) dst->op_params)[2];
+            const bool is_neox = mode & 2;
+
+            if (is_neox) {
+                // Empty src2 is possible in rope, but the shader needs a buffer
+                vk_subbuffer subbuf_z;
+                if (use_src2) {
+                    subbuf_z = { d_Z, z_buf_offset, z_sz };
+                } else {
+                    subbuf_z = { d_X, 0, d_X->size };
+                }
+
+                ggml_vk_sync_buffers(subctx);
+                ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset, x_sz }, { d_Y, y_buf_offset, y_sz }, subbuf_z, { d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements);
+            } else {
+                ggml_vk_sync_buffers(subctx);
+                ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset, x_sz }, { d_Y, y_buf_offset, y_sz }, { d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements);
+            }
+        } else if (use_src2) {
+            ggml_vk_sync_buffers(subctx);
+            ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset, x_sz }, { d_Y, y_buf_offset, y_sz }, { d_Z, z_buf_offset, z_sz }, { d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements);
         } else if (use_src1) {
             ggml_vk_sync_buffers(subctx);
             ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset, x_sz }, { d_Y, y_buf_offset, y_sz }, { d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements);
@@ -4090,22 +4183,16 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
             ggml_vk_sync_buffers(subctx);
             ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset, x_sz }, { d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements);
         }
-        if (dst->backend == GGML_BACKEND_TYPE_CPU && op == GGML_OP_CPY) {
-            ggml_vk_d2h_tensor_2d(ctx, subctx, d_D, 0, dst);
-        } else if(dst->backend == GGML_BACKEND_TYPE_CPU) {
-            // copy dst to host
-            float * d = (float *) dst->data;
-            ggml_vk_buffer_read_async(ctx, subctx, d_D, 0, d, d_sz);
-        }
     } else {
         GGML_ASSERT(op != GGML_OP_SOFT_MAX);
+        GGML_ASSERT(op != GGML_OP_ARGSORT);
+        GGML_ASSERT(!use_src2);
 
         ggml_pipeline_allocate_descriptor_sets(ctx, pipeline, ne02 * ne03);
 
         switch (dst->op) {
         case GGML_OP_NORM:
         case GGML_OP_RMS_NORM:
-        case GGML_OP_SOFT_MAX:
             elements = { (uint32_t)ne01, 1, 1 };
             break;
         case GGML_OP_DIAG_MASK_INF:
@@ -4135,10 +4222,6 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
                     ggml_vk_sync_buffers(subctx);
                     ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset + x_offset, x_sz }, { d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements);
                 }
-                if (dst->backend == GGML_BACKEND_TYPE_CPU) {
-                    // copy dst to host
-                    ggml_vk_buffer_read_async(ctx, subctx, d_D, d_buf_offset + d_offset, (char *) dst->data + i02*nb2 + i03*nb3, d_sz);
-                }
             }
         }
     }
@@ -4193,6 +4276,21 @@ static void ggml_vk_mul(ggml_backend_vk_context * ctx, vk_context * subctx, cons
     });
 }
 
+static void ggml_vk_div(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    const uint32_t src0_type_size = ggml_type_size(src0->type);
+    const uint32_t src1_type_size = ggml_type_size(src1->type);
+    const uint32_t dst_type_size = ggml_type_size(dst->type);
+
+    ggml_vk_op_f32<vk_op_binary_push_constants>(ctx, subctx, src0, src1, nullptr, dst, GGML_OP_DIV, {
+        (uint32_t)ggml_nelements(src0),
+        (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->ne[2],(uint32_t)src0->ne[3], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t)src0->nb[3] / src0_type_size,
+        (uint32_t)src1->ne[0], (uint32_t)src1->ne[1], (uint32_t)src1->ne[2],(uint32_t)src1->ne[3], (uint32_t)src1->nb[0] / src1_type_size, (uint32_t)src1->nb[1] / src1_type_size, (uint32_t)src1->nb[2] / src1_type_size, (uint32_t)src1->nb[3] / src1_type_size,
+        (uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2],(uint32_t) dst->ne[3], (uint32_t) dst->nb[0] /  dst_type_size, (uint32_t) dst->nb[1] /  dst_type_size, (uint32_t) dst->nb[2] /  dst_type_size, (uint32_t) dst->nb[3] /  dst_type_size,
+        0,
+        0.0f, 0.0f,
+    });
+}
+
 static void ggml_vk_scale(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, ggml_tensor * dst) {
     float * op_params = (float *)dst->op_params;
     const uint32_t src0_type_size = ggml_type_size(src0->type);
@@ -4269,7 +4367,7 @@ static void ggml_vk_diag_mask_inf(ggml_backend_vk_context * ctx, vk_context * su
     ggml_vk_op_f32<vk_op_diag_mask_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_DIAG_MASK_INF, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], op_params[0] });
 }
 
-static void ggml_vk_soft_max(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * src2, ggml_tensor * dst) {
+static void ggml_vk_soft_max(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     float * op_params = (float *)dst->op_params;
 
     float scale = op_params[0];
@@ -4285,24 +4383,20 @@ static void ggml_vk_soft_max(ggml_backend_vk_context * ctx, vk_context * subctx,
     const float m0 = powf(2.0f, -(max_bias       ) / n_head_log2);
     const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
 
-#pragma message("TODO: src2 is no longer used in soft_max - should be removed and ALiBi calculation should be updated")
-#pragma message("ref:  https://github.com/ggerganov/llama.cpp/pull/7192")
-
-    ggml_vk_op_f32<vk_op_soft_max_push_constants>(ctx, subctx, src0, src1, src2, dst, GGML_OP_SOFT_MAX, {
+    ggml_vk_op_f32<vk_op_soft_max_push_constants>(ctx, subctx, src0, src1, nullptr, dst, GGML_OP_SOFT_MAX, {
         ncols,
         src1 != nullptr ? nrows_y : (uint32_t)0,
-        src2 != nullptr ? (uint32_t)1 : (uint32_t)0,
         scale, max_bias,
         m0, m1,
         n_head_log2,
     });
 }
 
-static void ggml_vk_rope(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_vk_rope(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * src2, ggml_tensor * dst) {
     const int n_dims        = ((int32_t *) dst->op_params)[1];
     const int mode          = ((int32_t *) dst->op_params)[2];
     // const int n_ctx         = ((int32_t *) dst->op_params)[3];
-    const int n_orig_ctx    = ((int32_t *) dst->op_params)[4];
+    const int n_ctx_orig    = ((int32_t *) dst->op_params)[4];
     const float freq_base   = ((float *)   dst->op_params)[5];
     const float freq_scale  = ((float *)   dst->op_params)[6];
     const float ext_factor  = ((float *)   dst->op_params)[7];
@@ -4311,25 +4405,50 @@ static void ggml_vk_rope(ggml_backend_vk_context * ctx, vk_context * subctx, con
     const float beta_slow   = ((float *)   dst->op_params)[10];
 
     const bool is_neox = mode & 2;
-    const bool is_glm  = mode & 4;
 
-    GGML_ASSERT(!is_glm);
+#pragma message("TODO: update rope NORM mode to match NEOX mode")
+#pragma message("      https://github.com/ggerganov/llama.cpp/pull/7634")
 
     float corr_dims[2];
-    ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims);
+    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
 
     if (is_neox) {
         const float theta_scale = powf(freq_base, -2.0f/n_dims);
         const float inv_ndims = -1.0f / n_dims;
-        ggml_vk_op_f32<vk_op_rope_neox_push_constants>(ctx, subctx, src0, src1, nullptr, dst, GGML_OP_ROPE, { (uint32_t)src0->ne[0], (uint32_t)n_dims, freq_scale, (uint32_t)src0->ne[1], freq_base, ext_factor, attn_factor, {corr_dims[0], corr_dims[1], 0.0f, 0.0f}, theta_scale, inv_ndims });
+        ggml_vk_op_f32<vk_op_rope_neox_push_constants>(ctx, subctx, src0, src1, src2, dst, GGML_OP_ROPE, {
+            (uint32_t)src0->ne[0], (uint32_t)n_dims, freq_scale, (uint32_t)src0->ne[1],
+            freq_base, ext_factor, attn_factor, {corr_dims[0], corr_dims[1], 0.0f, 0.0f}, theta_scale, inv_ndims,
+            src2 != nullptr,
+        });
     } else {
-        ggml_vk_op_f32<vk_op_rope_push_constants>(ctx, subctx, src0, src1, nullptr, dst, GGML_OP_ROPE, { (uint32_t)src0->ne[0], freq_scale, (uint32_t)src0->ne[1], freq_base, ext_factor, attn_factor, {corr_dims[0], corr_dims[1], 0.0f, 0.0f} });
+        ggml_vk_op_f32<vk_op_rope_push_constants>(ctx, subctx, src0, src1, src2, dst, GGML_OP_ROPE, {
+            (uint32_t)src0->ne[0], freq_scale, (uint32_t)src0->ne[1],
+            freq_base, ext_factor, attn_factor, {corr_dims[0], corr_dims[1], 0.0f, 0.0f}
+        });
     }
 }
 
 static void ggml_vk_argsort(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, ggml_tensor * dst) {
     int32_t * op_params = (int32_t *)dst->op_params;
-    ggml_vk_op_f32<vk_op_argsort_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_ARGSORT, { (uint32_t)src0->ne[0], ((ggml_sort_order) op_params[0]) == GGML_SORT_ORDER_ASC });
+
+    uint32_t ncols = src0->ne[0];
+
+    uint32_t ncols_pad = 1;
+    while (ncols_pad < ncols) {
+        ncols_pad *= 2;
+    }
+
+    GGML_ASSERT(ncols_pad <= 1024);
+
+    ggml_vk_op_f32<vk_op_argsort_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_ARGSORT, {
+        ncols,
+        ncols_pad,
+        op_params[0],
+    });
+}
+
+static void ggml_vk_sum_rows(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, ggml_tensor * dst) {
+    ggml_vk_op_f32<vk_op_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_SUM_ROWS, { (uint32_t)src0->ne[0], 0, 0.0f, 0.0f });
 }
 
 #ifdef GGML_VULKAN_RUN_TESTS
@@ -4381,6 +4500,9 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
         if (std::is_same<float, X_TYPE>() && std::is_same<float, Y_TYPE>()) {
             p = ctx->device->pipeline_matmul_f32->a_s;
             shname = "F32_ALIGNED_S";
+        } else if (std::is_same<float, X_TYPE>() && std::is_same<ggml_fp16_t, Y_TYPE>()) {
+            p = ctx->device->pipeline_matmul_f32_f16->a_s;
+            shname = "F32_F16_ALIGNED_S";
         } else if (std::is_same<ggml_fp16_t, X_TYPE>() && std::is_same<float, Y_TYPE>()) {
             p = ctx->device->pipeline_matmul_f16_f32->a_s;
             shname = "F16_F32_ALIGNED_S";
@@ -4394,6 +4516,9 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
         if (std::is_same<float, X_TYPE>() && std::is_same<float, Y_TYPE>()) {
             p = ctx->device->pipeline_matmul_f32->a_m;
             shname = "F32_ALIGNED_M";
+        } else if (std::is_same<float, X_TYPE>() && std::is_same<ggml_fp16_t, Y_TYPE>()) {
+            p = ctx->device->pipeline_matmul_f32_f16->a_m;
+            shname = "F32_F16_ALIGNED_M";
         } else if (std::is_same<ggml_fp16_t, X_TYPE>() && std::is_same<float, Y_TYPE>()) {
             p = ctx->device->pipeline_matmul_f16_f32->a_m;
             shname = "F16_F32_ALIGNED_M";
@@ -4407,6 +4532,9 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
         if (std::is_same<float, X_TYPE>() && std::is_same<float, Y_TYPE>()) {
             p = ctx->device->pipeline_matmul_f32->a_l;
             shname = "F32_ALIGNED_L";
+        } else if (std::is_same<float, X_TYPE>() && std::is_same<ggml_fp16_t, Y_TYPE>()) {
+            p = ctx->device->pipeline_matmul_f32_f16->a_l;
+            shname = "F32_F16_ALIGNED_L";
         } else if (std::is_same<ggml_fp16_t, X_TYPE>() && std::is_same<float, Y_TYPE>()) {
             p = ctx->device->pipeline_matmul_f16_f32->a_l;
             shname = "F16_F32_ALIGNED_L";
@@ -4427,6 +4555,9 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
             if (std::is_same<float, X_TYPE>() && std::is_same<float, Y_TYPE>()) {
                 p = ctx->device->pipeline_matmul_f32->s;
                 shname = "F32_S";
+            } else if (std::is_same<float, X_TYPE>() && std::is_same<ggml_fp16_t, Y_TYPE>()) {
+                p = ctx->device->pipeline_matmul_f32_f16->s;
+                shname = "F32_F16_S";
             } else if (std::is_same<ggml_fp16_t, X_TYPE>() && std::is_same<float, Y_TYPE>()) {
                 p = ctx->device->pipeline_matmul_f16_f32->s;
                 shname = "F16_F32_S";
@@ -4438,6 +4569,9 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
             if (std::is_same<float, X_TYPE>() && std::is_same<float, Y_TYPE>()) {
                 p = ctx->device->pipeline_matmul_f32->m;
                 shname = "F32_M";
+            } else if (std::is_same<float, X_TYPE>() && std::is_same<ggml_fp16_t, Y_TYPE>()) {
+                p = ctx->device->pipeline_matmul_f32_f16->m;
+                shname = "F32_F16_M";
             } else if (std::is_same<ggml_fp16_t, X_TYPE>() && std::is_same<float, Y_TYPE>()) {
                 p = ctx->device->pipeline_matmul_f16_f32->m;
                 shname = "F16_F32_M";
@@ -4449,6 +4583,9 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
             if (std::is_same<float, X_TYPE>() && std::is_same<float, Y_TYPE>()) {
                 p = ctx->device->pipeline_matmul_f32->l;
                 shname = "F32_L";
+            } else if (std::is_same<float, X_TYPE>() && std::is_same<ggml_fp16_t, Y_TYPE>()) {
+                p = ctx->device->pipeline_matmul_f32_f16->l;
+                shname = "F32_F16_L";
             } else if (std::is_same<ggml_fp16_t, X_TYPE>() && std::is_same<float, Y_TYPE>()) {
                 p = ctx->device->pipeline_matmul_f16_f32->l;
                 shname = "F16_F32_L";
@@ -4509,7 +4646,9 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
         ggml_vk_ctx_begin(ctx, subctx);
         ggml_vk_matmul(
             ctx, subctx, p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), ggml_vk_subbuffer(ctx->prealloc_split_k),
-            m, n, k, k, k, m, split_k, batch, batch, batch, 1, 1, k*m, k*n, m*n, 0, 0, 0, 0, 1
+            m, n, k,
+            k, k, m, k*m, k*n, m*n,
+            split_k, batch, batch, batch, 1, 1
         );
         ggml_vk_ctx_end(subctx);
     }
@@ -4561,15 +4700,11 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
     src1_ggml->data = y;
     tensor_ggml->data = d_chk;
 
-    ctx->disable = true;
-
     ggml_cgraph * cgraph = ggml_new_graph(ggml_ctx);
     ggml_build_forward_expand(cgraph, tensor_ggml);
 
     ggml_graph_compute_with_ctx(ggml_ctx, cgraph, 1);
 
-    ctx->disable = false;
-
     ggml_free(ggml_ctx);
 
     double avg_err = 0.0;
@@ -5017,7 +5152,9 @@ static void ggml_vk_test_dequant_matmul(ggml_backend_vk_context * ctx, size_t m,
         ggml_vk_ctx_begin(ctx, subctx);
         ggml_vk_matmul(
             ctx, subctx, p, ggml_vk_subbuffer(qx_buf), ggml_vk_subbuffer(y_buf), ggml_vk_subbuffer(d_buf), ggml_vk_subbuffer(ctx->prealloc_split_k),
-            m, n, k, k, k, m, split_k, batch, batch, batch, 1, 1, k*m, k*n, m*n, 0, 0, 0, 0, 1
+            m, n, k,
+            k, k, m, k*m, k*n, m*n,
+            split_k, batch, batch, batch, 1, 1
         );
         ggml_vk_ctx_end(subctx);
     }
@@ -5049,15 +5186,11 @@ static void ggml_vk_test_dequant_matmul(ggml_backend_vk_context * ctx, size_t m,
     src1_ggml->data = y;
     tensor_ggml->data = d_chk;
 
-    ctx->disable = true;
-
     ggml_cgraph * cgraph = ggml_new_graph(ggml_ctx);
     ggml_build_forward_expand(cgraph, tensor_ggml);
 
     ggml_graph_compute_with_ctx(ggml_ctx, cgraph, 1);
 
-    ctx->disable = false;
-
     ggml_free(ggml_ctx);
 
     double avg_err = 0.0;
@@ -5134,12 +5267,12 @@ static void ggml_vk_preallocate_buffers_graph(ggml_backend_vk_context * ctx, ggm
 #ifdef GGML_VULKAN_DEBUG
     std::cerr << "ggml_vk_preallocate_buffers_graph(" << node << ")" << std::endl;
 #endif
-    if (ctx->disable || node->backend != GGML_BACKEND_TYPE_GPU) {
+    ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) node->extra;
+
+    if (extra == nullptr) {
         return;
     }
 
-    ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) node->extra;
-
     ggml_tensor * src0 = node->src[0];
     ggml_tensor * src1 = node->src[1];
 
@@ -5206,12 +5339,14 @@ static void ggml_vk_preallocate_buffers_graph(ggml_backend_vk_context * ctx, ggm
     case GGML_OP_CONT:
     case GGML_OP_DUP:
     case GGML_OP_MUL:
+    case GGML_OP_DIV:
     case GGML_OP_NORM:
     case GGML_OP_RMS_NORM:
     case GGML_OP_DIAG_MASK_INF:
     case GGML_OP_SOFT_MAX:
     case GGML_OP_ROPE:
     case GGML_OP_ARGSORT:
+    case GGML_OP_SUM_ROWS:
         break;
     case GGML_OP_UNARY:
         switch (ggml_get_unary_op(node)) {
@@ -5244,9 +5379,6 @@ static void ggml_vk_preallocate_buffers_graph(ggml_backend_vk_context * ctx, ggm
 }
 
 static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
-    if (ctx->disable) {
-        return;
-    }
 #ifdef GGML_VULKAN_DEBUG
     std::cerr << "ggml_vk_preallocate_buffers(x_size: " << ctx->prealloc_size_x << " y_size: " << ctx->prealloc_size_y << " split_k_size: " << ctx->prealloc_size_split_k << ")" << std::endl;
 #endif
@@ -5420,7 +5552,9 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
 }
 
 static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * node, bool last_node){
-    if (ctx->disable || node->backend != GGML_BACKEND_TYPE_GPU || ggml_is_empty(node)) {
+    ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) node->extra;
+
+    if (ggml_is_empty(node) || extra == nullptr) {
         return;
     }
 
@@ -5434,8 +5568,6 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
     const ggml_tensor * src1 = node->src[1];
     const ggml_tensor * src2 = node->src[2];
 
-    ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) node->extra;
-
     switch (node->op) {
     case GGML_OP_UNARY:
         switch (ggml_get_unary_op(node)) {
@@ -5451,6 +5583,7 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
     case GGML_OP_GET_ROWS:
     case GGML_OP_ADD:
     case GGML_OP_MUL:
+    case GGML_OP_DIV:
     case GGML_OP_SCALE:
     case GGML_OP_SQR:
     case GGML_OP_CLAMP:
@@ -5470,6 +5603,7 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
     case GGML_OP_MUL_MAT_ID:
     case GGML_OP_NONE:
     case GGML_OP_ARGSORT:
+    case GGML_OP_SUM_ROWS:
         break;
     default:
         std::cerr << "ggml_vulkan: Error: Missing op: " << ggml_op_name(node->op) << std::endl;
@@ -5498,6 +5632,10 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
     case GGML_OP_MUL:
         ggml_vk_mul(ctx, ctx->compute_ctx, src0, src1, node);
 
+        break;
+    case GGML_OP_DIV:
+        ggml_vk_div(ctx, ctx->compute_ctx, src0, src1, node);
+
         break;
     case GGML_OP_SCALE:
         ggml_vk_scale(ctx, ctx->compute_ctx, src0, node);
@@ -5547,24 +5685,27 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
 
         break;
     case GGML_OP_SOFT_MAX:
-        ggml_vk_soft_max(ctx, ctx->compute_ctx, src0, src1, src2, node);
+        ggml_vk_soft_max(ctx, ctx->compute_ctx, src0, src1, node);
 
         break;
     case GGML_OP_ROPE:
-        ggml_vk_rope(ctx, ctx->compute_ctx, src0, src1, node);
+        ggml_vk_rope(ctx, ctx->compute_ctx, src0, src1, src2, node);
 
         break;
     case GGML_OP_ARGSORT:
         ggml_vk_argsort(ctx, ctx->compute_ctx, src0, node);
+
+        break;
+    case GGML_OP_SUM_ROWS:
+        ggml_vk_sum_rows(ctx, ctx->compute_ctx, src0, node);
+
         break;
     case GGML_OP_MUL_MAT:
         ggml_vk_mul_mat(ctx, ctx->compute_ctx, src0, src1, node);
 
         break;
     case GGML_OP_MUL_MAT_ID:
-        //ggml_vk_mul_mat_id(ctx, ctx->compute_ctx, src0, src1, node);
-        std::cerr << "ggml_vulkan: GGML_OP_MUL_MAT_ID not implemented yet." << std::endl;
-        GGML_ASSERT(false);
+        ggml_vk_mul_mat_id(ctx, ctx->compute_ctx, src0, src1, src2, node);
 
         break;
     default:
@@ -5580,7 +5721,7 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
     last_node = true;
 #endif
 
-    if (node->backend == GGML_BACKEND_TYPE_CPU || last_node) {
+    if (last_node) {
         ggml_vk_ctx_end(ctx->compute_ctx);
         ctx->compute_ctx->exit_tensor = node;
         ctx->compute_ctx = nullptr;
@@ -5588,16 +5729,13 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
 }
 
 static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_compute_params * params, ggml_tensor * tensor){
-    if (ctx->disable) {
-        return false;
-    }
-
     ggml_tensor_extra_gpu * extra = nullptr;
 
     switch (tensor->op) {
     case GGML_OP_ADD:
     case GGML_OP_GET_ROWS:
     case GGML_OP_MUL:
+    case GGML_OP_DIV:
     case GGML_OP_SCALE:
     case GGML_OP_SQR:
     case GGML_OP_CLAMP:
@@ -5615,6 +5753,7 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_compute_
     case GGML_OP_TRANSPOSE:
     case GGML_OP_NONE:
     case GGML_OP_ARGSORT:
+    case GGML_OP_SUM_ROWS:
         extra = (ggml_tensor_extra_gpu *) tensor->extra;
 
         break;
@@ -5650,7 +5789,7 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_compute_
     }
 
 #ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_compute_forward(" << tensor << ", name=" << tensor->name << ", op=" << ggml_op_name(tensor->op) << ", type=" << tensor->type << ", backend=" << tensor->backend << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << ", view_src=" << tensor->view_src << ", view_offs=" << tensor->view_offs << ")" << std::endl;
+    std::cerr << "ggml_vk_compute_forward(" << tensor << ", name=" << tensor->name << ", op=" << ggml_op_name(tensor->op) << ", type=" << tensor->type << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << ", view_src=" << tensor->view_src << ", view_offs=" << tensor->view_offs << ")" << std::endl;
 #endif
 
 #ifdef GGML_VULKAN_CHECK_RESULTS
@@ -5690,9 +5829,6 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_compute_
 
 // Clean up after graph processing is done
 static void ggml_vk_graph_cleanup(ggml_backend_vk_context * ctx) {
-    if (ctx->disable) {
-        return;
-    }
 #ifdef GGML_VULKAN_DEBUG
     std::cerr << "ggml_vk_graph_cleanup()" << std::endl;
 #endif
@@ -5865,7 +6001,6 @@ GGML_CALL static void ggml_backend_vk_buffer_init_tensor(ggml_backend_buffer_t b
         extra->offset = (uint8_t *) tensor->data - (uint8_t *) vk_ptr_base;
     }
 
-    tensor->backend = GGML_BACKEND_TYPE_GPU;
     tensor->extra = extra;
 }
 
@@ -5873,8 +6008,6 @@ GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t bu
 #ifdef GGML_VULKAN_DEBUG
     std::cerr << "ggml_backend_vk_buffer_set_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")" << std::endl;
 #endif
-    GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU);
-
     ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context;
 
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
@@ -5888,8 +6021,6 @@ GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t bu
 #ifdef GGML_VULKAN_DEBUG
     std::cerr << "ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")" << std::endl;
 #endif
-    GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU);
-
     ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context;
 
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
@@ -5996,6 +6127,8 @@ static ggml_backend_buffer_type_i ggml_backend_vk_buffer_type_interface = {
 };
 
 GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_buffer_type(size_t dev_num) {
+    ggml_vk_instance_init();
+
 #ifdef GGML_VULKAN_DEBUG
     std::cerr << "ggml_backend_vk_buffer_type(" << dev_num << ")" << std::endl;
 #endif
@@ -6032,6 +6165,7 @@ GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_host_buffer_type_alloc_bu
 #ifdef GGML_VULKAN_DEBUG
     std::cerr << "ggml_backend_vk_host_buffer_type_alloc_buffer(" << size << ")" << std::endl;
 #endif
+    size += 32;  // Behave like the CPU buffer type
     void * ptr = nullptr;
     try {
         ptr = ggml_vk_host_malloc(&vk_instance.contexts[0], size);
@@ -6119,7 +6253,6 @@ GGML_CALL static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, g
 #endif
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
-    GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU);
 
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
 
@@ -6140,7 +6273,6 @@ GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, c
 #endif
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
-    GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU);
 
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
 
@@ -6206,6 +6338,10 @@ GGML_CALL static void ggml_backend_vk_synchronize(ggml_backend_t backend) {
     ctx->transfer_ctx = nullptr;
 }
 
+static bool ggml_vk_is_empty(ggml_tensor * node) {
+    return ggml_is_empty(node) || node->op == GGML_OP_NONE || node->op == GGML_OP_RESHAPE || node->op == GGML_OP_TRANSPOSE || node->op == GGML_OP_VIEW || node->op == GGML_OP_PERMUTE;
+}
+
 GGML_CALL static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cgraph * cgraph) {
 #ifdef GGML_VULKAN_DEBUG
     std::cerr << "ggml_backend_vk_graph_compute(" << cgraph->n_nodes << " nodes)" << std::endl;
@@ -6220,7 +6356,7 @@ GGML_CALL static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backen
     int last_node = cgraph->n_nodes - 1;
 
     // If the last op in the cgraph isn't backend GPU, the command buffer doesn't get closed properly
-    while (last_node > 0 && (cgraph->nodes[last_node]->backend != GGML_BACKEND_TYPE_GPU || ggml_is_empty(cgraph->nodes[last_node]))) {
+    while (last_node > 0 && ggml_vk_is_empty(cgraph->nodes[last_node])) {
         last_node -= 1;
     }
 
@@ -6234,7 +6370,7 @@ GGML_CALL static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backen
     for (int i = 0; i < cgraph->n_nodes; i++) {
         ggml_tensor * node = cgraph->nodes[i];
 
-        if (ggml_is_empty(node) || node->op == GGML_OP_RESHAPE || node->op == GGML_OP_TRANSPOSE || node->op == GGML_OP_VIEW || node->op == GGML_OP_PERMUTE || node->op == GGML_OP_NONE) {
+        if (ggml_vk_is_empty(node)) {
             continue;
         }
 
@@ -6272,7 +6408,7 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const
             }
             break;
         case GGML_OP_MUL_MAT:
-        // case GGML_OP_MUL_MAT_ID:
+        case GGML_OP_MUL_MAT_ID:
             {
                 switch (op->src[0]->type) {
                     case GGML_TYPE_F32:
@@ -6344,9 +6480,8 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const
         case GGML_OP_ROPE:
             {
                 const int mode = ((const int32_t *) op->op_params)[2];
-                const bool is_glm  = mode & 4;
 
-                return !is_glm;
+                return true;
             } break;
         case GGML_OP_NONE:
         case GGML_OP_RESHAPE:
@@ -6356,6 +6491,7 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const
         case GGML_OP_NORM:
         case GGML_OP_ADD:
         case GGML_OP_MUL:
+        case GGML_OP_DIV:
         case GGML_OP_RMS_NORM:
         case GGML_OP_SCALE:
         case GGML_OP_SQR:
@@ -6364,6 +6500,7 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const
         case GGML_OP_DIAG_MASK_INF:
         case GGML_OP_SOFT_MAX:
         case GGML_OP_ARGSORT:
+        case GGML_OP_SUM_ROWS:
             return true;
         default:
             return false;
@@ -6373,15 +6510,10 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const
 }
 
 GGML_CALL static bool ggml_backend_vk_offload_op(ggml_backend_t backend, const ggml_tensor * op) {
-    const ggml_tensor * dst = op;
-
     const int min_batch_size = 32;
 
-    if (dst->ne[1] > min_batch_size && dst->op != GGML_OP_GET_ROWS) {
-        return true;
-    }
-
-    return false;
+    return (op->ne[1] >= min_batch_size && op->op != GGML_OP_GET_ROWS) ||
+           (op->ne[2] >= min_batch_size && op->op == GGML_OP_MUL_MAT_ID);
 
     UNUSED(backend);
 }
@@ -6536,7 +6668,7 @@ static void ggml_vk_print_graph_origin(const ggml_tensor * tensor, std::vector<c
     for (int j = 0; j < level; j++) {
         std::cerr << " ";
     }
-    std::cerr << ggml_op_name(tensor->op) << " gpu=" << (tensor->extra != nullptr) << " backend=" << tensor->backend << std::endl;
+    std::cerr << ggml_op_name(tensor->op) << " gpu=" << (tensor->extra != nullptr) << std::endl;
 
     done.push_back(tensor);
 
@@ -6548,7 +6680,7 @@ static void ggml_vk_print_graph_origin(const ggml_tensor * tensor, std::vector<c
 }
 
 static void ggml_vk_print_tensor_area(const ggml_tensor * tensor, const void * data, int i0, int i1, int i2, int i3) {
-    if (tensor->type != GGML_TYPE_F32 && tensor->type != GGML_TYPE_F16) {
+    if (tensor->type != GGML_TYPE_F32 && tensor->type != GGML_TYPE_F16 && tensor->type != GGML_TYPE_I32) {
         return;
     }
     i0 = std::max(i0, 5);
@@ -6569,6 +6701,8 @@ static void ggml_vk_print_tensor_area(const ggml_tensor * tensor, const void * d
                     val = *(const float *) ((const char *) data + i3*tensor->nb[3] + i2*tensor->nb[2] + idx1*tensor->nb[1] + idx0*tensor->nb[0]);
                 } else if (tensor->type == GGML_TYPE_F16) {
                     val = ggml_fp16_to_fp32(*(const ggml_fp16_t *) ((const char *) data + i3*tensor->nb[3] + i2*tensor->nb[2] + idx1*tensor->nb[1] + idx0*tensor->nb[0]));
+                } else if (tensor->type == GGML_TYPE_I32) {
+                    val = *(const int32_t *) ((const char *) data + i3*tensor->nb[3] + i2*tensor->nb[2] + idx1*tensor->nb[1] + idx0*tensor->nb[0]);
                 } else {
                     GGML_ASSERT(false);
                 }
@@ -6584,7 +6718,7 @@ static void ggml_vk_print_tensor_area(const ggml_tensor * tensor, const void * d
 static void ggml_vk_print_tensor(ggml_backend_vk_context * ctx, const ggml_tensor * tensor, const char * name) {
     void * tensor_data = tensor->data;
 
-    if (tensor->backend == GGML_BACKEND_TYPE_GPU) {
+    if (ggml_backend_buffer_is_vk(tensor->buffer)) {
         const size_t tensor_size = ggml_nbytes(tensor);
         tensor_data = malloc(tensor_size);
 
@@ -6595,12 +6729,12 @@ static void ggml_vk_print_tensor(ggml_backend_vk_context * ctx, const ggml_tenso
     }
 
     std::cerr << "TENSOR CHECK " << name << " (" << tensor->name << "): " << ggml_op_name(tensor->op) << std::endl;
-    std::cerr << "tensor=" << tensor << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl;
+    std::cerr << "tensor=" << tensor << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl;
     if (tensor->src[0] != nullptr) {
-        std::cerr << "tensor->src[0]=" << tensor->src[0] << " name=" << tensor->src[0]->name << " op=" << ggml_op_name(tensor->src[0]->op) << " type=" << ggml_type_name(tensor->src[0]->type) << " backend=" << tensor->src[0]->backend << " ne0=" << tensor->src[0]->ne[0] << " nb0=" << tensor->src[0]->nb[0] << " ne1=" << tensor->src[0]->ne[1] << " nb1=" << tensor->src[0]->nb[1] << " ne2=" << tensor->src[0]->ne[2] << " nb2=" << tensor->src[0]->nb[2] << " ne3=" << tensor->src[0]->ne[3] << " nb3=" << tensor->src[0]->nb[3] << std::endl;
+        std::cerr << "tensor->src[0]=" << tensor->src[0] << " name=" << tensor->src[0]->name << " op=" << ggml_op_name(tensor->src[0]->op) << " type=" << ggml_type_name(tensor->src[0]->type) << " ne0=" << tensor->src[0]->ne[0] << " nb0=" << tensor->src[0]->nb[0] << " ne1=" << tensor->src[0]->ne[1] << " nb1=" << tensor->src[0]->nb[1] << " ne2=" << tensor->src[0]->ne[2] << " nb2=" << tensor->src[0]->nb[2] << " ne3=" << tensor->src[0]->ne[3] << " nb3=" << tensor->src[0]->nb[3] << std::endl;
     }
     if (tensor->src[1] != nullptr) {
-        std::cerr << "tensor->src[1]=" << tensor->src[1] << " name=" << tensor->src[1]->name << " op=" << ggml_op_name(tensor->src[1]->op) << " type=" << ggml_type_name(tensor->src[1]->type) << " backend=" << tensor->src[1]->backend << " ne0=" << tensor->src[1]->ne[0] << " nb0=" << tensor->src[1]->nb[0] << " ne1=" << tensor->src[1]->ne[1] << " nb1=" << tensor->src[1]->nb[1] << " ne2=" << tensor->src[1]->ne[2] << " nb2=" << tensor->src[1]->nb[2] << " ne3=" << tensor->src[1]->ne[3] << " nb3=" << tensor->src[1]->nb[3] << std::endl;
+        std::cerr << "tensor->src[1]=" << tensor->src[1] << " name=" << tensor->src[1]->name << " op=" << ggml_op_name(tensor->src[1]->op) << " type=" << ggml_type_name(tensor->src[1]->type) << " ne0=" << tensor->src[1]->ne[0] << " nb0=" << tensor->src[1]->nb[0] << " ne1=" << tensor->src[1]->ne[1] << " nb1=" << tensor->src[1]->nb[1] << " ne2=" << tensor->src[1]->ne[2] << " nb2=" << tensor->src[1]->nb[2] << " ne3=" << tensor->src[1]->ne[3] << " nb3=" << tensor->src[1]->nb[3] << std::endl;
     }
     std::cerr << std::endl << "Result:" << std::endl;
     ggml_vk_print_tensor_area(tensor, tensor_data, 5, 5, 0, 0);
@@ -6611,43 +6745,11 @@ static void ggml_vk_print_tensor(ggml_backend_vk_context * ctx, const ggml_tenso
     std::vector<const ggml_tensor *> done;
     ggml_vk_print_graph_origin(tensor, done);
 
-    if (tensor->backend == GGML_BACKEND_TYPE_GPU) {
+    if (ggml_backend_buffer_is_vk(tensor->buffer)) {
         free(tensor_data);
     }
 }
 
-static void ggml_vk_check_tensor(const std::string& name, const ggml_tensor * tensor) {
-    return;
-    GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_CPU);
-    if (tensor->type != GGML_TYPE_F32 && tensor->type != GGML_TYPE_F16) {
-        return;
-    }
-    for (int i3 = 0; i3 < tensor->ne[3]; i3++) {
-        for (int i2 = 0; i2 < tensor->ne[2]; i2++) {
-            for (int i1 = 0; i1 < tensor->ne[1]; i1++) {
-                for (int i0 = 0; i0 < tensor->ne[0]; i0++) {
-                    float val = 0.0f;
-                    if (tensor->type == GGML_TYPE_F32) {
-                        val = *(float *) ((char *) tensor->data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]);
-                    } else if (tensor->type == GGML_TYPE_F16) {
-                        val = ggml_fp16_to_fp32(*(ggml_fp16_t *) ((char *) tensor->data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]));
-                    }
-                    if (std::isnan(val)) {
-                        std::cerr << "ERROR: TENSOR CHECK " << name << ": Invalid value in " << ggml_op_name(tensor->op) << " i3=" << i3 << " i2=" << i2 << " i1=" << i1 << " i0=" << i0 << " val=" << val << std::endl;
-                        std::cerr << "tensor=" << tensor << " tensor->type=" << ggml_type_name(tensor->type) << " tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl;
-                        std::cerr << std::endl;
-                        ggml_vk_print_tensor_area(tensor, tensor->data, i0, i1, i2, i3);
-                        std::cerr << std::endl;
-                        std::vector<const ggml_tensor *> done;
-                        ggml_vk_print_graph_origin(tensor, done);
-                        GGML_ASSERT(false);
-                    }
-                }
-            }
-        }
-    }
-}
-
 void * comp_result;
 size_t comp_size;
 size_t comp_nb[GGML_MAX_DIMS];
@@ -6690,9 +6792,9 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
     size_t src1_size;
     size_t src2_size;
 
-    void * src0_buffer;
-    void * src1_buffer;
-    void * src2_buffer;
+    void * src0_buffer = nullptr;
+    void * src1_buffer = nullptr;
+    void * src2_buffer = nullptr;
 
     if (src0 != nullptr) {
         src0_clone = ggml_dup_tensor(ggml_ctx, src0);
@@ -6701,10 +6803,10 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
 
         src0_buffer = malloc(src0_size);
         src0_clone->data = src0_buffer;
-        if (src0->backend == GGML_BACKEND_TYPE_CPU) {
+        if (ggml_backend_buffer_is_host(src0->buffer)) {
             memcpy(src0_clone->data, src0->data, src0_size);
             memcpy(src0_clone->nb, src0->nb, sizeof(size_t) * GGML_MAX_DIMS);
-        } else if (src0->backend == GGML_BACKEND_TYPE_GPU) {
+        } else if (ggml_backend_buffer_is_vk(src0->buffer)) {
             ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) src0->extra;
             vk_buffer buffer_gpu = extra->buffer_gpu.lock();
             uint64_t offset = extra->offset;
@@ -6735,8 +6837,6 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
         if (vk_output_tensor > 0 && vk_output_tensor == check_counter) {
             ggml_vk_print_tensor(ctx, src0, "src0");
         }
-
-        ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src0", src0_clone);
     }
     if (src1 != nullptr) {
         src1_clone = ggml_dup_tensor(ggml_ctx, src1);
@@ -6745,10 +6845,10 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
 
         src1_buffer = malloc(src1_size);
         src1_clone->data = src1_buffer;
-        if (src1->backend == GGML_BACKEND_TYPE_CPU) {
+        if (ggml_backend_buffer_is_host(src1->buffer)) {
             memcpy(src1_clone->data, src1->data, src1_size);
             memcpy(src1_clone->nb, src1->nb, sizeof(size_t) * GGML_MAX_DIMS);
-        } else if (src1->backend == GGML_BACKEND_TYPE_GPU) {
+        } else if (ggml_backend_buffer_is_vk(src1->buffer)) {
             ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) src1->extra;
             vk_buffer buffer_gpu = extra->buffer_gpu.lock();
             uint64_t offset = extra->offset;
@@ -6779,12 +6879,12 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
         if (vk_output_tensor > 0 && vk_output_tensor == check_counter) {
             ggml_vk_print_tensor(ctx, src1, "src1");
             std::cerr << "TENSOR CHECK: " << ggml_op_name(src1_clone->op) << " (check " << check_counter << ")" << std::endl;
-            std::cerr << "src1_clone=" << tensor << " src1_clone->backend: " << src1_clone->backend << " src1_clone->type: " << ggml_type_name(src1_clone->type) << " ne0=" << src1_clone->ne[0] << " nb0=" << src1_clone->nb[0] << " ne1=" << src1_clone->ne[1] << " nb1=" << src1_clone->nb[1] << " ne2=" << src1_clone->ne[2] << " nb2=" << src1_clone->nb[2] << " ne3=" << src1_clone->ne[3] << " nb3=" << src1_clone->nb[3] << std::endl;
+            std::cerr << "src1_clone=" << tensor << " src1_clone->type: " << ggml_type_name(src1_clone->type) << " ne0=" << src1_clone->ne[0] << " nb0=" << src1_clone->nb[0] << " ne1=" << src1_clone->ne[1] << " nb1=" << src1_clone->nb[1] << " ne2=" << src1_clone->ne[2] << " nb2=" << src1_clone->nb[2] << " ne3=" << src1_clone->ne[3] << " nb3=" << src1_clone->nb[3] << std::endl;
             if (src1->src[0] != nullptr) {
-                std::cerr << "src1->src[0]=" << src1->src[0] << " op=" << ggml_op_name(src1->src[0]->op) << " type=" << ggml_type_name(src1->src[0]->type) << " backend=" << src1->src[0]->backend << " ne0=" << src1->src[0]->ne[0] << " nb0=" << src1->src[0]->nb[0] << " ne1=" << src1->src[0]->ne[1] << " nb1=" << src1->src[0]->nb[1] << " ne2=" << src1->src[0]->ne[2] << " nb2=" << src1->src[0]->nb[2] << " ne3=" << src1->src[0]->ne[3] << " nb3=" << src1->src[0]->nb[3] << std::endl;
+                std::cerr << "src1->src[0]=" << src1->src[0] << " op=" << ggml_op_name(src1->src[0]->op) << " type=" << ggml_type_name(src1->src[0]->type) << " ne0=" << src1->src[0]->ne[0] << " nb0=" << src1->src[0]->nb[0] << " ne1=" << src1->src[0]->ne[1] << " nb1=" << src1->src[0]->nb[1] << " ne2=" << src1->src[0]->ne[2] << " nb2=" << src1->src[0]->nb[2] << " ne3=" << src1->src[0]->ne[3] << " nb3=" << src1->src[0]->nb[3] << std::endl;
             }
             if (src1->src[1] != nullptr) {
-                std::cerr << "src1->src[1]=" << src1->src[1] << " op=" << ggml_op_name(src1->src[1]->op) << " type=" << ggml_type_name(src1->src[1]->type) << " backend=" << src1->src[1]->backend << " ne0=" << src1->src[1]->ne[0] << " nb0=" << src1->src[1]->nb[0] << " ne1=" << src1->src[1]->ne[1] << " nb1=" << src1->src[1]->nb[1] << " ne2=" << src1->src[1]->ne[2] << " nb2=" << src1->src[1]->nb[2] << " ne3=" << src1->src[1]->ne[3] << " nb3=" << src1->src[1]->nb[3] << std::endl;
+                std::cerr << "src1->src[1]=" << src1->src[1] << " op=" << ggml_op_name(src1->src[1]->op) << " type=" << ggml_type_name(src1->src[1]->type) << " ne0=" << src1->src[1]->ne[0] << " nb0=" << src1->src[1]->nb[0] << " ne1=" << src1->src[1]->ne[1] << " nb1=" << src1->src[1]->nb[1] << " ne2=" << src1->src[1]->ne[2] << " nb2=" << src1->src[1]->nb[2] << " ne3=" << src1->src[1]->ne[3] << " nb3=" << src1->src[1]->nb[3] << std::endl;
             }
             std::cerr << std::endl << "Result:" << std::endl;
             ggml_vk_print_tensor_area(src1_clone, src1_clone->data, 5, 5, 0, 0);
@@ -6795,8 +6895,6 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
             std::vector<const ggml_tensor *> done;
             ggml_vk_print_graph_origin(src1_clone, done);
         }
-
-        ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src1", src1_clone);
     }
     if (src2 != nullptr) {
         src2_clone = ggml_dup_tensor(ggml_ctx, src2);
@@ -6805,18 +6903,18 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
 
         src2_buffer = malloc(src2_size);
         src2_clone->data = src2_buffer;
-        if (src2->backend == GGML_BACKEND_TYPE_CPU) {
+        if (ggml_backend_buffer_is_host(src2->buffer)) {
             memcpy(src2_clone->data, src2->data, src2_size);
             memcpy(src2_clone->nb, src2->nb, sizeof(size_t) * GGML_MAX_DIMS);
-        } else if (src2->backend == GGML_BACKEND_TYPE_GPU) {
+        } else if (ggml_backend_buffer_is_vk(src2->buffer)) {
             ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) src2->extra;
-            vk_buffer buf = extra->buffer_gpu.lock();
+            vk_buffer buffer_gpu = extra->buffer_gpu.lock();
             uint64_t offset = extra->offset;
             if (!ggml_is_contiguous(src2) && ggml_vk_dim01_contiguous(src2)) {
                 for (int i3 = 0; i3 < src2->ne[3]; i3++) {
                     for (int i2 = 0; i2 < src2->ne[2]; i2++) {
                         const int idx = i3*src2->ne[2] + i2;
-                        ggml_vk_buffer_read(ctx, buf, offset + idx * src2->nb[2], ((char *)src2_clone->data + idx * src2_clone->nb[2]), src2->ne[1] * src2->nb[1]);
+                        ggml_vk_buffer_read(ctx, buffer_gpu, offset + idx * src2->nb[2], ((char *)src2_clone->data + idx * src2_clone->nb[2]), src2->ne[1] * src2->nb[1]);
                     }
                 }
 
@@ -6826,10 +6924,10 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
                     src2_clone->nb[i] = src2_clone->nb[i - 1]*src2_clone->ne[i - 1];
                 }
             } else {
-                if (offset + src2_size >= buf->size) {
-                    src2_size = buf->size - offset;
+                if (offset + src2_size >= buffer_gpu->size) {
+                    src2_size = buffer_gpu->size - offset;
                 }
-                ggml_vk_buffer_read(ctx, buf, offset, src2_clone->data, src2_size);
+                ggml_vk_buffer_read(ctx, buffer_gpu, offset, src2_clone->data, src2_size);
                 memcpy(src2_clone->nb, src2->nb, sizeof(size_t) * GGML_MAX_DIMS);
             }
         } else {
@@ -6839,12 +6937,12 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
         if (vk_output_tensor > 0 && vk_output_tensor == check_counter) {
             ggml_vk_print_tensor(ctx, src2, "src2");
             std::cerr << "TENSOR CHECK: " << ggml_op_name(src2_clone->op) << " (check " << check_counter << ")" << std::endl;
-            std::cerr << "src2_clone=" << tensor << " src2_clone->backend: " << src2_clone->backend << " src2_clone->type: " << ggml_type_name(src2_clone->type) << " ne0=" << src2_clone->ne[0] << " nb0=" << src2_clone->nb[0] << " ne1=" << src2_clone->ne[1] << " nb1=" << src2_clone->nb[1] << " ne2=" << src2_clone->ne[2] << " nb2=" << src2_clone->nb[2] << " ne3=" << src2_clone->ne[3] << " nb3=" << src2_clone->nb[3] << std::endl;
+            std::cerr << "src2_clone=" << tensor << " src2_clone->type: " << ggml_type_name(src2_clone->type) << " ne0=" << src2_clone->ne[0] << " nb0=" << src2_clone->nb[0] << " ne1=" << src2_clone->ne[1] << " nb1=" << src2_clone->nb[1] << " ne2=" << src2_clone->ne[2] << " nb2=" << src2_clone->nb[2] << " ne3=" << src2_clone->ne[3] << " nb3=" << src2_clone->nb[3] << std::endl;
             if (src2->src[0] != nullptr) {
-                std::cerr << "src2->src[0]=" << src2->src[0] << " op=" << ggml_op_name(src2->src[0]->op) << " type=" << ggml_type_name(src2->src[0]->type) << " backend=" << src2->src[0]->backend << " ne0=" << src2->src[0]->ne[0] << " nb0=" << src2->src[0]->nb[0] << " ne1=" << src2->src[0]->ne[1] << " nb1=" << src2->src[0]->nb[1] << " ne2=" << src2->src[0]->ne[2] << " nb2=" << src2->src[0]->nb[2] << " ne3=" << src2->src[0]->ne[3] << " nb3=" << src2->src[0]->nb[3] << std::endl;
+                std::cerr << "src2->src[0]=" << src2->src[0] << " op=" << ggml_op_name(src2->src[0]->op) << " type=" << ggml_type_name(src2->src[0]->type) << " ne0=" << src2->src[0]->ne[0] << " nb0=" << src2->src[0]->nb[0] << " ne1=" << src2->src[0]->ne[1] << " nb1=" << src2->src[0]->nb[1] << " ne2=" << src2->src[0]->ne[2] << " nb2=" << src2->src[0]->nb[2] << " ne3=" << src2->src[0]->ne[3] << " nb3=" << src2->src[0]->nb[3] << std::endl;
             }
             if (src2->src[1] != nullptr) {
-                std::cerr << "src2->src[1]=" << src2->src[1] << " op=" << ggml_op_name(src2->src[1]->op) << " type=" << ggml_type_name(src2->src[1]->type) << " backend=" << src2->src[1]->backend << " ne0=" << src2->src[1]->ne[0] << " nb0=" << src2->src[1]->nb[0] << " ne1=" << src2->src[1]->ne[1] << " nb1=" << src2->src[1]->nb[1] << " ne2=" << src2->src[1]->ne[2] << " nb2=" << src2->src[1]->nb[2] << " ne3=" << src2->src[1]->ne[3] << " nb3=" << src2->src[1]->nb[3] << std::endl;
+                std::cerr << "src2->src[1]=" << src2->src[1] << " op=" << ggml_op_name(src2->src[1]->op) << " type=" << ggml_type_name(src2->src[1]->type) << " ne0=" << src2->src[1]->ne[0] << " nb0=" << src2->src[1]->nb[0] << " ne1=" << src2->src[1]->ne[1] << " nb1=" << src2->src[1]->nb[1] << " ne2=" << src2->src[1]->ne[2] << " nb2=" << src2->src[1]->nb[2] << " ne3=" << src2->src[1]->ne[3] << " nb3=" << src2->src[1]->nb[3] << std::endl;
             }
             std::cerr << std::endl << "Result:" << std::endl;
             ggml_vk_print_tensor_area(src2_clone, src2_clone->data, 5, 5, 0, 0);
@@ -6855,14 +6953,16 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
             std::vector<const ggml_tensor *> done;
             ggml_vk_print_graph_origin(src2_clone, done);
         }
-
-        ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src2", src2_clone);
     }
 
     if (tensor->op == GGML_OP_MUL_MAT) {
         tensor_clone = ggml_mul_mat(ggml_ctx, src0_clone, src1_clone);
+    } else if (tensor->op == GGML_OP_MUL_MAT_ID) {
+        tensor_clone = ggml_mul_mat_id(ggml_ctx, src0_clone, src1_clone, src2_clone);
     } else if (tensor->op == GGML_OP_MUL) {
         tensor_clone = ggml_mul(ggml_ctx, src0_clone, src1_clone);
+    } else if (tensor->op == GGML_OP_DIV) {
+        tensor_clone = ggml_div(ggml_ctx, src0_clone, src1_clone);
     } else if (tensor->op == GGML_OP_SCALE) {
         tensor_clone = ggml_scale(ggml_ctx, src0_clone, ((float *)tensor->op_params)[0]);
     } else if (tensor->op == GGML_OP_SQR) {
@@ -6877,7 +6977,7 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
         tensor_clone = ggml_rms_norm(ggml_ctx, src0_clone, *(float *)tensor->op_params);
     } else if (tensor->op == GGML_OP_SOFT_MAX) {
         if (src1 != nullptr) {
-            tensor_clone = ggml_soft_max_ext(ggml_ctx, src0_clone, src1_clone, src2_clone, ((float *)tensor->op_params)[0], ((float *)tensor->op_params)[1]);
+            tensor_clone = ggml_soft_max_ext(ggml_ctx, src0_clone, src1_clone, ((float *)tensor->op_params)[0], ((float *)tensor->op_params)[1]);
         } else {
             tensor_clone = ggml_soft_max(ggml_ctx, src0_clone);
         }
@@ -6886,15 +6986,15 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
     } else if (tensor->op == GGML_OP_ROPE) {
         const int n_dims      = ((int32_t *) tensor->op_params)[1];
         const int mode        = ((int32_t *) tensor->op_params)[2];
-        const int n_ggml_ctx       = ((int32_t *) tensor->op_params)[3];
-        const int n_orig_ggml_ctx  = ((int32_t *) tensor->op_params)[4];
+        //const int n_ctx_ggml       = ((int32_t *) tensor->op_params)[3];
+        const int n_ctx_orig_ggml  = ((int32_t *) tensor->op_params)[4];
         float freq_base       = ((float *)   tensor->op_params)[5];
         float freq_scale      = ((float *)   tensor->op_params)[6];
         float ext_factor      = ((float *)   tensor->op_params)[7];
         float attn_factor     = ((float *)   tensor->op_params)[8];
         float beta_fast       = ((float *)   tensor->op_params)[9];
         float beta_slow       = ((float *)   tensor->op_params)[10];
-        tensor_clone = ggml_rope_custom(ggml_ctx, src0_clone, src1_clone, n_dims, mode, n_ggml_ctx, n_orig_ggml_ctx, freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow);
+        tensor_clone = ggml_rope_ext(ggml_ctx, src0_clone, src1_clone, src2_clone, n_dims, mode, n_ctx_orig_ggml, freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow);
     } else if (tensor->op == GGML_OP_UNARY) {
         switch (ggml_get_unary_op(tensor)) {
         case GGML_UNARY_OP_SILU:
@@ -6932,22 +7032,18 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
         tensor_clone = ggml_get_rows(ggml_ctx, src0_clone, src1_clone);
     } else if (tensor->op == GGML_OP_ARGSORT) {
         tensor_clone = ggml_argsort(ggml_ctx, src0_clone, (ggml_sort_order) *(int *)tensor->op_params);
+    } else if (tensor->op == GGML_OP_SUM_ROWS) {
+        tensor_clone = ggml_sum_rows(ggml_ctx, src0_clone);
     } else {
         std::cerr << "Missing vk_check_results OP: " << ggml_op_name(tensor->op) << std::endl;
         GGML_ASSERT(false);
     }
 
-    // Disable vulkan here to avoid the hooks in ggml.c
-    ctx->disable = true;
-
     ggml_cgraph * cgraph = ggml_new_graph(ggml_ctx);
     ggml_build_forward_expand(cgraph, tensor_clone);
 
     ggml_graph_compute_with_ctx(ggml_ctx, cgraph, 8);
 
-    ctx->disable = false;
-
-    ggml_vk_check_tensor(ggml_op_name(tensor->op), tensor_clone);
     if (vk_output_tensor > 0 && vk_output_tensor == check_counter) {
         ggml_vk_print_tensor(ctx, tensor_clone, "tensor_clone");
     }
@@ -6964,9 +7060,6 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
     if (src1 != nullptr) {
         free(src1_buffer);
     }
-    if (src2 != nullptr) {
-        free(src2_buffer);
-    }
 
     ggml_free(ggml_ctx);
 }
@@ -6988,10 +7081,11 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_
 
     ggml_tensor * src0 = tensor->src[0];
     ggml_tensor * src1 = tensor->src[1];
+    ggml_tensor * src2 = tensor->src[2];
 
     void * tensor_data = tensor->data;
 
-    if (tensor->backend == GGML_BACKEND_TYPE_GPU) {
+    if (ggml_backend_buffer_is_vk(tensor->buffer)) {
         size_t tensor_size = ggml_nbytes(tensor);
         tensor_data = malloc(tensor_size);
 
@@ -7026,8 +7120,11 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_
                         } else if (tensor->type == GGML_TYPE_F16) {
                             correct = ggml_fp16_to_fp32(*(ggml_fp16_t *) ((char *) comp_result + i3*comp_nb[3] + i2*comp_nb[2] + i1*comp_nb[1] + i0*comp_nb[0]));
                             result  = ggml_fp16_to_fp32(*(ggml_fp16_t *) ((char *) tensor_data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]));
+                        } else if (tensor->type == GGML_TYPE_I32) {
+                            correct = *(int32_t *) ((char *) comp_result + i3*comp_nb[3] + i2*comp_nb[2] + i1*comp_nb[1] + i0*comp_nb[0]);
+                            result  = *(int32_t *) ((char *) tensor_data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]);
                         } else {
-                            std::cerr << "comp_size=" << comp_size << " but required is " << (i3*comp_nb[3] + i2*comp_nb[2] + i1*comp_nb[1] + i0*comp_nb[0]) << std::endl;
+                            std::cerr << "Results check not implemented for type " << ggml_type_name(tensor->type) << std::endl;
                         }
                     } else {
                         std::cerr << "Missing debug code for type " << ggml_type_name(tensor->type) << std::endl;
@@ -7036,12 +7133,15 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_
 
                     if ((std::isnan(correct) != std::isnan(result)) || (std::isinf(correct) != std::isinf(result)) || !buffer_size_fit) {
                         std::cerr << "ERROR: Invalid value in " << ggml_op_name(tensor->op) << " i3=" << i3 << " i2=" << i2 << " i1=" << i1 << " i0=" << i0 << " result=" << result << " correct=" << correct << " avg_err=" << (avg_err / counter) << std::endl;
-                        std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << " offset=" << tensor->view_offs << std::endl;
+                        std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << " offset=" << tensor->view_offs << std::endl;
                         if (src0 != nullptr) {
-                            std::cerr << "src0=" << src0 << " src0->name=" << src0->name << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << " offset=" << src0->view_offs << std::endl;
+                            std::cerr << "src0=" << src0 << " src0->name=" << src0->name << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << " offset=" << src0->view_offs << std::endl;
                         }
                         if (src1 != nullptr) {
-                            std::cerr << "src1=" << src1 << " src1->name=" << src1->name << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << " offset=" << src1->view_offs << std::endl;
+                            std::cerr << "src1=" << src1 << " src1->name=" << src1->name << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << " offset=" << src1->view_offs << std::endl;
+                        }
+                        if (src2 != nullptr) {
+                            std::cerr << "src2=" << src2 << " src2->name=" << src2->name << " op=" << ggml_op_name(src2->op) << " type=" << ggml_type_name(src2->type) << " ne0=" << src2->ne[0] << " nb0=" << src2->nb[0] << " ne1=" << src2->ne[1] << " nb1=" << src2->nb[1] << " ne2=" << src2->ne[2] << " nb2=" << src2->nb[2] << " ne3=" << src2->ne[3] << " nb3=" << src2->nb[3] << " offset=" << src2->view_offs << std::endl;
                         }
                         std::cerr << "First error: result=" << first_error_result << " correct=" << first_error_correct  << " i3=" << first_error[3] << " i2=" << first_error[2] << " i1=" << first_error[1] << " i0=" << first_error[0] << std::endl;
                         std::cerr << std::endl << "Result:" << std::endl;
@@ -7077,12 +7177,15 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_
 
     if (vk_output_tensor > 0 && vk_output_tensor == check_counter) {
         std::cerr << "TENSOR CHECK: avg_err=" << avg_err << " in " << ggml_op_name(tensor->op) << " (check " << check_counter << ")" << std::endl;
-        std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << " offset=" << tensor->view_offs << std::endl;
+        std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << " offset=" << tensor->view_offs << std::endl;
         if (src0 != nullptr) {
-            std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << " offset=" << src0->view_offs << std::endl;
+            std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << " offset=" << src0->view_offs << std::endl;
         }
         if (src1 != nullptr) {
-            std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << " offset=" << src1->view_offs << std::endl;
+            std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << " offset=" << src1->view_offs << std::endl;
+        }
+        if (src2 != nullptr) {
+            std::cerr << "src2=" << src2 << " op=" << ggml_op_name(src2->op) << " type=" << ggml_type_name(src2->type) << " ne0=" << src2->ne[0] << " nb0=" << src2->nb[0] << " ne1=" << src2->ne[1] << " nb1=" << src2->nb[1] << " ne2=" << src2->ne[2] << " nb2=" << src2->nb[2] << " ne3=" << src2->ne[3] << " nb3=" << src2->nb[3] << " offset=" << src2->view_offs << std::endl;
         }
         std::cerr << "First error: result=" << first_error_result << " correct=" << first_error_correct  << " i3=" << first_error[3] << " i2=" << first_error[2] << " i1=" << first_error[1] << " i0=" << first_error[0] << std::endl;
         std::cerr << std::endl << "Result:" << std::endl;
@@ -7101,12 +7204,15 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_
 
     if (avg_err > 0.05 || std::isnan(avg_err)) {
         std::cerr << "ERROR: avg_err=" << avg_err << " in " << ggml_op_name(tensor->op) << " (check " << check_counter << ")" << std::endl;
-        std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << " offset=" << tensor->view_offs << std::endl;
+        std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << " offset=" << tensor->view_offs << std::endl;
         if (src0 != nullptr) {
-            std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << " offset=" << src0->view_offs << std::endl;
+            std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << " offset=" << src0->view_offs << std::endl;
         }
         if (src1 != nullptr) {
-            std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << " offset=" << src1->view_offs << std::endl;
+            std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << " offset=" << src1->view_offs << std::endl;
+        }
+        if (src2 != nullptr) {
+            std::cerr << "src2=" << src2 << " op=" << ggml_op_name(src2->op) << " type=" << ggml_type_name(src2->type) << " ne0=" << src2->ne[0] << " nb0=" << src2->nb[0] << " ne1=" << src2->ne[1] << " nb1=" << src2->nb[1] << " ne2=" << src2->ne[2] << " nb2=" << src2->nb[2] << " ne3=" << src2->ne[3] << " nb3=" << src2->nb[3] << " offset=" << src2->view_offs << std::endl;
         }
         std::cerr << "First error: result=" << first_error_result << " correct=" << first_error_correct  << " i3=" << first_error[3] << " i2=" << first_error[2] << " i1=" << first_error[1] << " i0=" << first_error[0] << std::endl;
         std::cerr << std::endl << "Result:" << std::endl;
@@ -7118,14 +7224,14 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_
         ggml_vk_print_graph_origin(tensor, done);
         GGML_ASSERT(false);
     } else {
-        std::cerr << check_counter << " " << tensor->name << " op=" << ggml_op_name(tensor->op) << " backend=" << tensor->backend << " avg_err=" << avg_err << std::endl;
+        std::cerr << check_counter << " " << tensor->name << " op=" << ggml_op_name(tensor->op) << " avg_err=" << avg_err << std::endl;
     }
 
     free(comp_result);
     comp_result = nullptr;
     comp_size = 0;
 
-    if (tensor->backend == GGML_BACKEND_TYPE_GPU) {
+    if (ggml_backend_buffer_is_vk(tensor->buffer)) {
         free(tensor_data);
     }
 }
diff --git a/ggml.c b/ggml.c
index b96a82a41..1fc77743b 100644
--- a/ggml.c
+++ b/ggml.c
@@ -5,6 +5,7 @@
 #include "ggml-quants.h"
 #include "ggml.h"
 
+
 #if defined(_MSC_VER) || defined(__MINGW32__)
 #include <malloc.h> // using malloc.h with MSC/MINGW
 #elif !defined(__FreeBSD__) && !defined(__NetBSD__) && !defined(__OpenBSD__)
@@ -28,6 +29,10 @@
 #include <syscall.h>
 #endif
 
+#ifdef GGML_USE_OPENMP
+#include <omp.h>
+#endif
+
 #ifdef GGML_USE_METAL
 #include <unistd.h>
 #endif
@@ -60,6 +65,9 @@
 
 typedef volatile LONG atomic_int;
 typedef atomic_int atomic_bool;
+typedef atomic_int atomic_flag;
+
+#define ATOMIC_FLAG_INIT 0
 
 static void atomic_store(atomic_int * ptr, LONG val) {
     InterlockedExchange(ptr, val);
@@ -73,6 +81,12 @@ static LONG atomic_fetch_add(atomic_int * ptr, LONG inc) {
 static LONG atomic_fetch_sub(atomic_int * ptr, LONG dec) {
     return atomic_fetch_add(ptr, -(dec));
 }
+static atomic_bool atomic_flag_test_and_set(atomic_flag * ptr) {
+    return InterlockedExchange(ptr, 1);
+}
+static void atomic_flag_clear(atomic_flag * ptr) {
+    InterlockedExchange(ptr, 0);
+}
 
 typedef HANDLE pthread_t;
 
@@ -112,6 +126,8 @@ typedef void * thread_ret_t;
 
 #endif
 
+typedef pthread_t ggml_thread_t;
+
 #ifdef GGML_USE_CPU_HBM
 #include <hbwmalloc.h>
 #endif
@@ -163,9 +179,6 @@ void ggml_print_backtrace(void) {
 #define GGML_DEBUG 0
 #define GGML_GELU_FP16
 #define GGML_GELU_QUICK_FP16
-#define GGML_SILU_FP16
-// #define GGML_CROSS_ENTROPY_EXP_FP16
-// #define GGML_FLASH_ATTN_EXP_FP16
 
 #define GGML_SOFT_MAX_UNROLL 4
 #define GGML_VEC_DOT_UNROLL  2
@@ -284,17 +297,12 @@ inline static void * ggml_calloc(size_t num, size_t size) {
 
 #if defined(GGML_USE_ACCELERATE)
 #include <Accelerate/Accelerate.h>
-#if defined(GGML_USE_CLBLAST) // allow usage of CLBlast alongside Accelerate functions
-#include "ggml-opencl.h"
-#endif
 #elif defined(GGML_USE_OPENBLAS)
 #if defined(GGML_BLAS_USE_MKL)
 #include <mkl.h>
 #else
 #include <cblas.h>
 #endif
-#elif defined(GGML_USE_CLBLAST)
-#include "ggml-opencl.h"
 #endif
 
 // floating point type used to accumulate sums
@@ -316,12 +324,6 @@ static ggml_fp16_t ggml_table_gelu_f16[1 << 16];
 // precomputed quick gelu table for f16 (128 KB)
 static ggml_fp16_t ggml_table_gelu_quick_f16[1 << 16];
 
-// precomputed silu table for f16 (128 KB)
-static ggml_fp16_t ggml_table_silu_f16[1 << 16];
-
-// precomputed exp table for f16 (128 KB)
-static ggml_fp16_t ggml_table_exp_f16[1 << 16];
-
 // precomputed f32 table for f16 (256 KB) (ggml-impl.h)
 float ggml_table_f32_f16[1 << 16];
 
@@ -413,10 +415,10 @@ void ggml_fp32_to_bf16_row(const float * x, ggml_bf16_t * y, int64_t n) {
   int i = 0;
 #if defined(__AVX512BF16__)
   for (; i + 32 <= n; i += 32) {
-        _mm512_storeu_ps(
-            (__m512 *)(y + i),
-            (__m512)_mm512_cvtne2ps_pbh(_mm512_loadu_ps(x + i + 16),
-                                        _mm512_loadu_ps(x + i)));
+        _mm512_storeu_si512(
+            (__m512i *)(y + i),
+            m512i(_mm512_cvtne2ps_pbh(_mm512_loadu_ps(x + i + 16),
+                                _mm512_loadu_ps(x + i))));
   }
 #endif
     for (; i < n; i++) {
@@ -878,22 +880,14 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
     },
     [GGML_TYPE_IQ4_XS] = {
         .type_name                = "iq4_xs",
-#if QK_K == 64
-        .blck_size                = QK4_NL,
-#else
         .blck_size                = QK_K,
-#endif
         .type_size                = sizeof(block_iq4_xs),
         .is_quantized             = true,
         .to_float                 = (ggml_to_float_t) dequantize_row_iq4_xs,
         .from_float               = quantize_row_iq4_xs,
         .from_float_reference     = (ggml_from_float_t)quantize_row_iq4_xs_reference,
         .vec_dot                  = ggml_vec_dot_iq4_xs_q8_K,
-#if QK_K == 64
-        .vec_dot_type             = GGML_TYPE_Q8_0,
-#else
         .vec_dot_type             = GGML_TYPE_Q8_K,
-#endif
         .nrows                    = 1,
     },
     [GGML_TYPE_Q8_K] = {
@@ -1306,6 +1300,8 @@ static inline void __avx_f32cx8_store(ggml_fp16_t *x, __m256 y) {
 #define GGML_F16_VEC_ZERO   GGML_F32x4_ZERO
 #define GGML_F16_VEC_SET1   GGML_F32x4_SET1
 #define GGML_F16_VEC_FMA    GGML_F32x4_FMA
+#define GGML_F16_VEC_ADD    GGML_F32x4_ADD
+#define GGML_F16_VEC_MUL    GGML_F32x4_MUL
 #define GGML_F16_VEC_REDUCE GGML_F32x4_REDUCE
 // Use vec_xl, not vec_ld, in case the load address is not aligned.
 #define GGML_F16_VEC_LOAD(p, i) (i & 0x1) ?                   \
@@ -1528,6 +1524,196 @@ static inline void __sse_f16x4_store(ggml_fp16_t *x, __m128 y) {
 #define GGML_F16_VEC_MUL             GGML_F32Cx4_MUL
 #define GGML_F16_VEC_REDUCE          GGML_F32Cx4_REDUCE
 
+#elif defined(__loongarch_asx)
+
+#define GGML_SIMD
+
+// F32 LASX
+#define GGML_F32_STEP 32
+#define GGML_F32_EPR  8
+
+#define GGML_F32x8         __m256
+#define GGML_F32x8_ZERO    (__m256)__lasx_xvldi(0)
+#define GGML_F32x8_SET1(x) (__m256)__lasx_xvreplfr2vr_s((x))
+#define GGML_F32x8_LOAD(x) (__m256)__lasx_xvld((x), 0)
+#define GGML_F32x8_STORE(x,y)   __lasx_xvst((y), (x), 0)
+#define GGML_F32x8_FMA(a, b, c) __lasx_xvfmadd_s(b, c, a)
+#define GGML_F32x8_ADD     __lasx_xvfadd_s
+#define GGML_F32x8_MUL     __lasx_xvfmul_s
+#define GGML_F32x8_REDUCE(res, x)                                 \
+do {                                                              \
+    int offset = GGML_F32_ARR >> 1;                               \
+    for (int i = 0; i < offset; ++i) {                            \
+        x[i] = __lasx_xvfadd_s(x[i], x[offset+i]);                  \
+    }                                                             \
+    offset >>= 1;                                                 \
+    for (int i = 0; i < offset; ++i) {                            \
+        x[i] = __lasx_xvfadd_s(x[i], x[offset+i]);                  \
+    }                                                             \
+    offset >>= 1;                                                 \
+    for (int i = 0; i < offset; ++i) {                            \
+        x[i] = __lasx_xvfadd_s(x[i], x[offset+i]);                  \
+    }                                                             \
+    float *tmp_p = (float *)&x[0]; \
+    res = tmp_p[0] + tmp_p[1] + tmp_p[2] + tmp_p[3] + tmp_p[4] + tmp_p[5] + tmp_p[6] + tmp_p[7];  \
+} while (0)
+// TODO: is this optimal ?
+
+#define GGML_F32_VEC        GGML_F32x8
+#define GGML_F32_VEC_ZERO   GGML_F32x8_ZERO
+#define GGML_F32_VEC_SET1   GGML_F32x8_SET1
+#define GGML_F32_VEC_LOAD   GGML_F32x8_LOAD
+#define GGML_F32_VEC_STORE  GGML_F32x8_STORE
+#define GGML_F32_VEC_FMA    GGML_F32x8_FMA
+#define GGML_F32_VEC_ADD    GGML_F32x8_ADD
+#define GGML_F32_VEC_MUL    GGML_F32x8_MUL
+#define GGML_F32_VEC_REDUCE GGML_F32x8_REDUCE
+
+// F16 LASX
+
+#define GGML_F16_STEP 32
+#define GGML_F16_EPR  8
+
+// F16 arithmetic is not supported by AVX, so we use F32 instead
+
+#define GGML_F32Cx8          __m256
+#define GGML_F32Cx8_ZERO    (__m256)__lasx_xvldi(0)
+#define GGML_F32Cx8_SET1(x) (__m256)__lasx_xvreplgr2vr_w((x))
+
+static inline __m256 __lasx_f32cx8_load(const ggml_fp16_t * x) {
+    float tmp[8];
+
+    for (int i = 0; i < 8; i++) {
+        tmp[i] = GGML_FP16_TO_FP32(x[i]);
+    }
+
+    return (__m256)__lasx_xvld(tmp, 0);
+}
+static inline void __lasx_f32cx8_store(ggml_fp16_t * x, __m256 y) {
+    float arr[8];
+
+    __lasx_xvst(y, arr, 0);
+
+    for (int i = 0; i < 8; i++) {
+        x[i] = GGML_FP32_TO_FP16(arr[i]);
+    }
+}
+#define GGML_F32Cx8_LOAD(x)     __lasx_f32cx8_load(x)
+#define GGML_F32Cx8_STORE(x, y) __lasx_f32cx8_store(x, y)
+
+#define GGML_F32Cx8_FMA         GGML_F32x8_FMA
+#define GGML_F32Cx8_ADD         __lasx_xvfadd_s
+#define GGML_F32Cx8_MUL         __lasx_xvfmul_s
+#define GGML_F32Cx8_REDUCE      GGML_F32x8_REDUCE
+
+#define GGML_F16_VEC                GGML_F32Cx8
+#define GGML_F16_VEC_ZERO           GGML_F32Cx8_ZERO
+#define GGML_F16_VEC_SET1           GGML_F32Cx8_SET1
+#define GGML_F16_VEC_LOAD(p, i)     GGML_F32Cx8_LOAD(p)
+#define GGML_F16_VEC_STORE(p, r, i) GGML_F32Cx8_STORE(p, r[i])
+#define GGML_F16_VEC_FMA            GGML_F32Cx8_FMA
+#define GGML_F16_VEC_ADD            GGML_F32Cx8_ADD
+#define GGML_F16_VEC_MUL            GGML_F32Cx8_MUL
+#define GGML_F16_VEC_REDUCE         GGML_F32Cx8_REDUCE
+
+#elif defined(__loongarch_sx)
+
+#define GGML_SIMD
+
+// F32 LSX
+
+#define GGML_F32_STEP 32
+#define GGML_F32_EPR  4
+
+#define GGML_F32x4         __m128
+#define GGML_F32x4_ZERO    __lsx_vldi(0)
+#define GGML_F32x4_SET1(x) __lsx_vinsgr2vr_w(__lsx_vldi(0),(x), 0)
+#define GGML_F32x4_LOAD(x) __lsx_vld((x), 0)
+#define GGML_F32x4_STORE((x),(y))   __lsx_vst((y), (x), 0)
+#define GGML_F32x4_FMA(a, b, c) __lsx_vfmadd_s(b, c, a)
+#define GGML_F32x4_ADD     __lsx_vfadd_s
+#define GGML_F32x4_MUL     __lsx_vfmul_s
+#define GGML_F32x4_REDUCE(res, x)                                 \
+{                                                                 \
+    int offset = GGML_F32_ARR >> 1;                               \
+    for (int i = 0; i < offset; ++i) {                            \
+        x[i] = __lsx_vfadd_s(x[i], x[offset+i]);                     \
+    }                                                             \
+    offset >>= 1;                                                 \
+    for (int i = 0; i < offset; ++i) {                            \
+        x[i] = __lsx_vfadd_s(x[i], x[offset+i]);                     \
+    }                                                             \
+    offset >>= 1;                                                 \
+    for (int i = 0; i < offset; ++i) {                            \
+        x[i] = __lsx_vfadd_s(x[i], x[offset+i]);                     \
+    }                                                             \
+    __m128i tmp = __lsx_vsrli_d((__m128i)x[0], 32); \
+    tmp = (__m128i)__lsx_vfadd_s((__m128)tmp, x[0]); \
+    tmp = __lsx_vpickev_w(__lsx_vldi(0), tmp); \
+    const __m128 t0 = __lsx_vshuf4i_w(tmp, 0x88); \
+    tmp = __lsx_vsrli_d((__m128i)t0, 32); \
+    tmp = (__m128i)__lsx_vfadd_s((__m128)tmp, t0); \
+    tmp = __lsx_vpickev_w(__lsx_vldi(0), tmp); \
+    res = (ggml_float) __lsx_vpickve2gr_w(__lsx_vshuf4i_w(tmp, 0x88), 0);        \
+}
+
+#define GGML_F32_VEC        GGML_F32x4
+#define GGML_F32_VEC_ZERO   GGML_F32x4_ZERO
+#define GGML_F32_VEC_SET1   GGML_F32x4_SET1
+#define GGML_F32_VEC_LOAD   GGML_F32x4_LOAD
+#define GGML_F32_VEC_STORE  GGML_F32x4_STORE
+#define GGML_F32_VEC_FMA    GGML_F32x4_FMA
+#define GGML_F32_VEC_ADD    GGML_F32x4_ADD
+#define GGML_F32_VEC_MUL    GGML_F32x4_MUL
+#define GGML_F32_VEC_REDUCE GGML_F32x4_REDUCE
+
+// F16 LSX
+
+#define GGML_F16_STEP 32
+#define GGML_F16_EPR  4
+
+static inline __m128 __lsx_f16x4_load(const ggml_fp16_t * x) {
+    float tmp[4];
+
+    tmp[0] = GGML_FP16_TO_FP32(x[0]);
+    tmp[1] = GGML_FP16_TO_FP32(x[1]);
+    tmp[2] = GGML_FP16_TO_FP32(x[2]);
+    tmp[3] = GGML_FP16_TO_FP32(x[3]);
+
+    return __lsx_vld(tmp, 0);
+}
+
+static inline void __lsx_f16x4_store(ggml_fp16_t * x, __m128 y) {
+    float arr[4];
+
+    __lsx_vst(y, arr, 0);
+
+    x[0] = GGML_FP32_TO_FP16(arr[0]);
+    x[1] = GGML_FP32_TO_FP16(arr[1]);
+    x[2] = GGML_FP32_TO_FP16(arr[2]);
+    x[3] = GGML_FP32_TO_FP16(arr[3]);
+}
+
+#define GGML_F32Cx4             __m128
+#define GGML_F32Cx4_ZERO        __lsx_vldi(0)
+#define GGML_F32Cx4_SET1(x)     __lsx_vinsgr2vr_w(__lsx_vldi(0),(x), 0)
+#define GGML_F32Cx4_LOAD(x)     __lsx_f16x4_load(x)
+#define GGML_F32Cx4_STORE(x, y) __lsx_f16x4_store(x, y)
+#define GGML_F32Cx4_FMA         GGML_F32x4_FMA
+#define GGML_F32Cx4_ADD         __lsx_vfadd_s
+#define GGML_F32Cx4_MUL         __lsx_vfmul_s
+#define GGML_F32Cx4_REDUCE      GGML_F32x4_REDUCE
+
+#define GGML_F16_VEC                 GGML_F32Cx4
+#define GGML_F16_VEC_ZERO            GGML_F32Cx4_ZERO
+#define GGML_F16_VEC_SET1            GGML_F32Cx4_SET1
+#define GGML_F16_VEC_LOAD(p, i)      GGML_F32Cx4_LOAD(p)
+#define GGML_F16_VEC_STORE(p, r, i)  GGML_F32Cx4_STORE(p, r[i])
+#define GGML_F16_VEC_FMA             GGML_F32Cx4_FMA
+#define GGML_F16_VEC_ADD             GGML_F32Cx4_ADD
+#define GGML_F16_VEC_MUL             GGML_F32Cx4_MUL
+#define GGML_F16_VEC_REDUCE          GGML_F32Cx4_REDUCE
+
 #endif
 
 // GGML_F32_ARR / GGML_F16_ARR
@@ -1537,6 +1723,59 @@ static inline void __sse_f16x4_store(ggml_fp16_t *x, __m128 y) {
 #define GGML_F16_ARR (GGML_F16_STEP/GGML_F16_EPR)
 #endif
 
+//
+// ggml context
+//
+
+struct ggml_context {
+    size_t mem_size;
+    void* mem_buffer;
+    bool   mem_buffer_owned;
+    bool   no_alloc;
+    bool   no_alloc_save; // this is used to save the no_alloc state when using scratch buffers
+
+    int    n_objects;
+
+    struct ggml_object* objects_begin;
+    struct ggml_object* objects_end;
+
+    struct ggml_scratch scratch;
+    struct ggml_scratch scratch_save;
+};
+
+struct ggml_context_container {
+    bool used;
+
+    struct ggml_context context;
+};
+
+struct ggml_compute_state_shared {
+    const struct ggml_cgraph* cgraph;
+    const struct ggml_cplan* cplan;
+
+    int64_t perf_node_start_cycles;
+    int64_t perf_node_start_time_us;
+
+    int n_threads;
+
+    // synchronization primitives
+    atomic_int n_active;  // num active threads
+    atomic_int node_n;    // active graph node
+    atomic_int node_task; // active graph node task phase
+
+    ggml_abort_callback abort_callback; // abort ggml_graph_compute when true
+    void* abort_callback_data;
+
+    atomic_int current_chunk; // currently processing chunk during Mat_Mul, shared between all the threads.
+};
+
+struct ggml_compute_state {
+    ggml_thread_t thrd;
+    int ith;
+    struct ggml_compute_state_shared* shared;
+    enum ggml_status ec;
+};
+
 //
 // fundamental operations
 //
@@ -1618,10 +1857,10 @@ static void ggml_vec_dot_bf16(int n, float * restrict s, size_t bs, ggml_bf16_t
     __m512 c1 = _mm512_setzero_ps();
     __m512 c2 = _mm512_setzero_ps();
     for (; i + 64 <= n; i += 64) {
-        c1 = _mm512_dpbf16_ps(c1, (__m512bh)_mm512_loadu_ps((const float *)(x + i)),
-                              (__m512bh)_mm512_loadu_ps((const float *)(y + i)));
-        c2 = _mm512_dpbf16_ps(c2, (__m512bh)_mm512_loadu_ps((const float *)(x + i + 32)),
-                              (__m512bh)_mm512_loadu_ps((const float *)(y + i + 32)));
+        c1 = _mm512_dpbf16_ps(c1, m512bh(_mm512_loadu_si512((x + i))),
+                             m512bh(_mm512_loadu_si512((y + i))));
+        c2 = _mm512_dpbf16_ps(c2, m512bh(_mm512_loadu_si512((x + i + 32))),
+                             m512bh(_mm512_loadu_si512((y + i + 32))));
     }
     sumf += (ggml_float)_mm512_reduce_add_ps(c1);
     sumf += (ggml_float)_mm512_reduce_add_ps(c2);
@@ -2028,52 +2267,291 @@ inline static float ggml_silu_f32(float x) {
     return x/(1.0f + expf(-x));
 }
 
-//inline static void ggml_vec_silu_f16(const int n, ggml_fp16_t * y, const ggml_fp16_t * x) {
-//    const uint16_t * i16 = (const uint16_t *) x;
-//    for (int i = 0; i < n; ++i) {
-//        y[i] = ggml_table_silu_f16[i16[i]];
-//    }
-//}
+#if __FINITE_MATH_ONLY__
+#error "some routines in ggml.c require non-finite math arithmetics -- pass -fno-finite-math-only to the compiler to fix"
+#error "ref: https://github.com/ggerganov/llama.cpp/pull/7154#issuecomment-2143844461"
+#endif
 
-#ifdef GGML_SILU_FP16
-inline static void ggml_vec_silu_f32(const int n, float * y, const float * x) {
-    uint16_t t;
-    for (int i = 0; i < n; ++i) {
-        ggml_fp16_t fp16 = GGML_FP32_TO_FP16(x[i]);
-        memcpy(&t, &fp16, sizeof(uint16_t));
-        y[i] = GGML_FP16_TO_FP32(ggml_table_silu_f16[t]);
-    }
+#if defined(__ARM_NEON) && defined(__aarch64__)
+
+// adapted from arm limited optimized routine
+// the maximum error is 1.45358 plus 0.5 ulps
+// numbers above 88.38 will flush to infinity
+// numbers beneath -103.97 will flush to zero
+inline static float32x4_t ggml_v_expf(float32x4_t x) {
+    const float32x4_t r = vdupq_n_f32(0x1.8p23f);
+    const float32x4_t z = vfmaq_f32(r, x, vdupq_n_f32(0x1.715476p+0f));
+    const float32x4_t n = vsubq_f32(z, r);
+    const float32x4_t b = vfmsq_f32(vfmsq_f32(x, n, vdupq_n_f32(0x1.62e4p-1f)), n,
+                                    vdupq_n_f32(0x1.7f7d1cp-20f));
+    const uint32x4_t e = vshlq_n_u32(vreinterpretq_u32_f32(z), 23);
+    const float32x4_t k = vreinterpretq_f32_u32(vaddq_u32(e, vreinterpretq_u32_f32(vdupq_n_f32(1))));
+    const uint32x4_t c = vcagtq_f32(n, vdupq_n_f32(126));
+    const float32x4_t u = vmulq_f32(b, b);
+    const float32x4_t j = vfmaq_f32(
+        vmulq_f32(vdupq_n_f32(0x1.ffffecp-1f), b),
+        vfmaq_f32(vfmaq_f32(vdupq_n_f32(0x1.fffdb6p-2f), vdupq_n_f32(0x1.555e66p-3f), b),
+                  vfmaq_f32(vdupq_n_f32(0x1.573e2ep-5f), vdupq_n_f32(0x1.0e4020p-7f), b), u), u);
+    if (!vpaddd_u64(vreinterpretq_u64_u32(c)))
+        return vfmaq_f32(k, j, k);
+    const uint32x4_t d = vandq_u32(vclezq_f32(n), vdupq_n_u32(0x82000000));
+    const float32x4_t s1 = vreinterpretq_f32_u32(vaddq_u32(d, vdupq_n_u32(0x7f000000)));
+    const float32x4_t s2 = vreinterpretq_f32_u32(vsubq_u32(e, d));
+    return vbslq_f32(vcagtq_f32(n, vdupq_n_f32(192)), vmulq_f32(s1, s1),
+                     vbslq_f32(c, vmulq_f32(vfmaq_f32(s2, s2, j), s1), vfmaq_f32(k, k, j)));
 }
+
+// computes silu x/(1+exp(-x)) in single precision vector
+inline static float32x4_t ggml_v_silu(float32x4_t x) {
+    const float32x4_t one = vdupq_n_f32(1.0f);
+    const float32x4_t zero = vdupq_n_f32(0.0f);
+    const float32x4_t neg_x = vsubq_f32(zero, x);
+    const float32x4_t exp_neg_x = ggml_v_expf(neg_x);
+    const float32x4_t one_plus_exp_neg_x = vaddq_f32(one, exp_neg_x);
+    return vdivq_f32(x, one_plus_exp_neg_x);
+}
+
+#elif defined(__AVX512F__) && defined(__AVX512DQ__)
+
+// adapted from arm limited optimized routine
+// the maximum error is 1.45358 plus 0.5 ulps
+// numbers above 88.38 will flush to infinity
+// numbers beneath -103.97 will flush to zero
+inline static __m512 ggml_v_expf(__m512 x) {
+  const __m512 r = _mm512_set1_ps(0x1.8p23f);
+  const __m512 z = _mm512_fmadd_ps(x, _mm512_set1_ps(0x1.715476p+0f), r);
+  const __m512 n = _mm512_sub_ps(z, r);
+  const __m512 b =
+      _mm512_fnmadd_ps(n, _mm512_set1_ps(0x1.7f7d1cp-20f),
+                       _mm512_fnmadd_ps(n, _mm512_set1_ps(0x1.62e4p-1f), x));
+  const __mmask16 d =
+      _mm512_cmp_ps_mask(_mm512_abs_ps(n), _mm512_set1_ps(192), _CMP_GT_OQ);
+  const __m512 u = _mm512_mul_ps(b, b);
+  const __m512 j = _mm512_fmadd_ps(
+      _mm512_fmadd_ps(_mm512_fmadd_ps(_mm512_set1_ps(0x1.0e4020p-7f), b,
+                                      _mm512_set1_ps(0x1.573e2ep-5f)),
+                      u,
+                      _mm512_fmadd_ps(_mm512_set1_ps(0x1.555e66p-3f), b,
+                                      _mm512_set1_ps(0x1.fffdb6p-2f))),
+      u,
+      _mm512_fmadd_ps(_mm512_set1_ps(0x1.ffffecp-1f), b, _mm512_set1_ps(1.0F)));
+  const __m512 res = _mm512_scalef_ps(j, n);
+  if (_mm512_kortestz(d, d))
+    return res;
+  const __m512 zero = _mm512_setzero_ps();
+  const __m512 alt = _mm512_mask_blend_ps(
+      _mm512_cmp_ps_mask(n, zero, _CMP_LE_OQ), _mm512_set1_ps(INFINITY), zero);
+  return _mm512_mask_blend_ps(d, res, alt);
+}
+
+// computes silu x/(1+exp(-x)) in single precision vector
+inline static __m512 ggml_v_silu(__m512 x) {
+    const __m512 one = _mm512_set1_ps(1);
+    const __m512 zero = _mm512_setzero_ps();
+    const __m512 neg_x = _mm512_sub_ps(zero, x);
+    const __m512 exp_neg_x = ggml_v_expf(neg_x);
+    const __m512 one_plus_exp_neg_x = _mm512_add_ps(one, exp_neg_x);
+    return _mm512_div_ps(x, one_plus_exp_neg_x);
+}
+
+#elif defined(__AVX2__) && defined(__FMA__)
+
+// adapted from arm limited optimized routine
+// the maximum error is 1.45358 plus 0.5 ulps
+// numbers above 88.38 will flush to infinity
+// numbers beneath -103.97 will flush to zero
+inline static __m256 ggml_v_expf(__m256 x) {
+  const __m256 r = _mm256_set1_ps(0x1.8p23f);
+  const __m256 z = _mm256_fmadd_ps(x, _mm256_set1_ps(0x1.715476p+0f), r);
+  const __m256 n = _mm256_sub_ps(z, r);
+  const __m256 b = _mm256_fnmadd_ps(n, _mm256_set1_ps(0x1.7f7d1cp-20f),
+                                    _mm256_fnmadd_ps(n, _mm256_set1_ps(0x1.62e4p-1f), x));
+  const __m256i e = _mm256_slli_epi32(_mm256_castps_si256(z), 23);
+  const __m256 k = _mm256_castsi256_ps(
+      _mm256_add_epi32(e, _mm256_castps_si256(_mm256_set1_ps(1))));
+  const __m256i c = _mm256_castps_si256(
+      _mm256_cmp_ps(_mm256_andnot_ps(_mm256_set1_ps(-0.f), n),
+                    _mm256_set1_ps(126), _CMP_GT_OQ));
+  const __m256 u = _mm256_mul_ps(b, b);
+  const __m256 j = _mm256_fmadd_ps(_mm256_fmadd_ps(_mm256_fmadd_ps(_mm256_set1_ps(0x1.0e4020p-7f), b,
+                                                                   _mm256_set1_ps(0x1.573e2ep-5f)), u,
+                                                   _mm256_fmadd_ps(_mm256_set1_ps(0x1.555e66p-3f), b,
+                                                                   _mm256_set1_ps(0x1.fffdb6p-2f))),
+                                   u, _mm256_mul_ps(_mm256_set1_ps(0x1.ffffecp-1f), b));
+  if (!_mm256_movemask_ps(_mm256_castsi256_ps(c)))
+    return _mm256_fmadd_ps(j, k, k);
+  const __m256i g = _mm256_and_si256(
+      _mm256_castps_si256(_mm256_cmp_ps(n, _mm256_setzero_ps(), _CMP_LE_OQ)),
+      _mm256_set1_epi32(0x82000000u));
+  const __m256 s1 =
+      _mm256_castsi256_ps(_mm256_add_epi32(g, _mm256_set1_epi32(0x7f000000u)));
+  const __m256 s2 = _mm256_castsi256_ps(_mm256_sub_epi32(e, g));
+  const __m256i d = _mm256_castps_si256(
+      _mm256_cmp_ps(_mm256_andnot_ps(_mm256_set1_ps(-0.f), n),
+                    _mm256_set1_ps(192), _CMP_GT_OQ));
+  return _mm256_or_ps(
+      _mm256_and_ps(_mm256_castsi256_ps(d), _mm256_mul_ps(s1, s1)),
+      _mm256_andnot_ps(
+          _mm256_castsi256_ps(d),
+          _mm256_or_ps(
+              _mm256_and_ps(_mm256_castsi256_ps(c),
+                            _mm256_mul_ps(_mm256_fmadd_ps(s2, j, s2), s1)),
+              _mm256_andnot_ps(_mm256_castsi256_ps(c), _mm256_fmadd_ps(k, j, k)))));
+}
+
+// computes silu x/(1+exp(-x)) in single precision vector
+inline static __m256 ggml_v_silu(__m256 x) {
+    const __m256 one = _mm256_set1_ps(1);
+    const __m256 zero = _mm256_setzero_ps();
+    const __m256 neg_x = _mm256_sub_ps(zero, x);
+    const __m256 exp_neg_x = ggml_v_expf(neg_x);
+    const __m256 one_plus_exp_neg_x = _mm256_add_ps(one, exp_neg_x);
+    return _mm256_div_ps(x, one_plus_exp_neg_x);
+}
+
+#elif defined(__SSE2__) // __AVX2__ / __ARM_NEON
+
+#if defined(__FMA__)
+#define MADD128(x, y, z) _mm_fmadd_ps(x, y, z)
+#define NMADD128(x, y, z) _mm_fnmadd_ps(x, y, z)
 #else
-inline static void ggml_vec_silu_f32(const int n, float * y, const float * x) {
-    for (int i = 0; i < n; ++i) {
+#define MADD128(x, y, z) _mm_add_ps(_mm_mul_ps(x, y), z)
+#define NMADD128(x, y, z) _mm_sub_ps(z, _mm_mul_ps(x, y))
+#endif
+
+// adapted from arm limited optimized routine
+// the maximum error is 1.45358 plus 0.5 ulps
+// numbers above 88.38 will flush to infinity
+// numbers beneath -103.97 will flush to zero
+inline static __m128 ggml_v_expf(__m128 x) {
+    const __m128 r = _mm_set1_ps(0x1.8p23f);
+    const __m128 z = MADD128(x, _mm_set1_ps(0x1.715476p+0f), r);
+    const __m128 n = _mm_sub_ps(z, r);
+    const __m128 b =
+        NMADD128(n, _mm_set1_ps(0x1.7f7d1cp-20f), NMADD128(n, _mm_set1_ps(0x1.62e4p-1f), x));
+    const __m128i e = _mm_slli_epi32(_mm_castps_si128(z), 23);
+    const __m128 k = _mm_castsi128_ps(_mm_add_epi32(e, _mm_castps_si128(_mm_set1_ps(1))));
+    const __m128i c =
+        _mm_castps_si128(_mm_cmpgt_ps(_mm_andnot_ps(_mm_set1_ps(-0.f), n), _mm_set1_ps(126)));
+    const __m128 u = _mm_mul_ps(b, b);
+    const __m128 j =
+        MADD128(MADD128(MADD128(_mm_set1_ps(0x1.0e4020p-7f), b, _mm_set1_ps(0x1.573e2ep-5f)), u,
+                        MADD128(_mm_set1_ps(0x1.555e66p-3f), b, _mm_set1_ps(0x1.fffdb6p-2f))),
+                u, _mm_mul_ps(_mm_set1_ps(0x1.ffffecp-1f), b));
+    if (!_mm_movemask_epi8(c))
+        return MADD128(j, k, k);
+    const __m128i g = _mm_and_si128(_mm_castps_si128(_mm_cmple_ps(n, _mm_setzero_ps())),
+                                    _mm_set1_epi32(0x82000000u));
+    const __m128 s1 = _mm_castsi128_ps(_mm_add_epi32(g, _mm_set1_epi32(0x7f000000u)));
+    const __m128 s2 = _mm_castsi128_ps(_mm_sub_epi32(e, g));
+    const __m128i d =
+        _mm_castps_si128(_mm_cmpgt_ps(_mm_andnot_ps(_mm_set1_ps(-0.f), n), _mm_set1_ps(192)));
+    return _mm_or_ps(
+        _mm_and_ps(_mm_castsi128_ps(d), _mm_mul_ps(s1, s1)),
+        _mm_andnot_ps(_mm_castsi128_ps(d),
+                      _mm_or_ps(_mm_and_ps(_mm_castsi128_ps(c), _mm_mul_ps(MADD128(s2, j, s2), s1)),
+                                _mm_andnot_ps(_mm_castsi128_ps(c), MADD128(k, j, k)))));
+}
+
+// computes silu x/(1+exp(-x)) in single precision vector
+inline static __m128 ggml_v_silu(__m128 x) {
+    const __m128 one = _mm_set1_ps(1);
+    const __m128 zero = _mm_setzero_ps();
+    const __m128 neg_x = _mm_sub_ps(zero, x);
+    const __m128 exp_neg_x = ggml_v_expf(neg_x);
+    const __m128 one_plus_exp_neg_x = _mm_add_ps(one, exp_neg_x);
+    return _mm_div_ps(x, one_plus_exp_neg_x);
+}
+
+#endif // __ARM_NEON / __AVX2__ / __SSE2__
+
+static void ggml_vec_silu_f32(const int n, float * y, const float * x) {
+    int i = 0;
+#if defined(__AVX512F__) && defined(__AVX512DQ__)
+    for (; i + 15 < n; i += 16) {
+        _mm512_storeu_ps(y + i, ggml_v_silu(_mm512_loadu_ps(x + i)));
+    }
+#elif defined(__AVX2__) && defined(__FMA__)
+    for (; i + 7 < n; i += 8) {
+        _mm256_storeu_ps(y + i, ggml_v_silu(_mm256_loadu_ps(x + i)));
+    }
+#elif defined(__SSE2__)
+    for (; i + 3 < n; i += 4) {
+        _mm_storeu_ps(y + i, ggml_v_silu(_mm_loadu_ps(x + i)));
+    }
+#elif defined(__ARM_NEON) && defined(__aarch64__)
+    for (; i + 3 < n; i += 4) {
+        vst1q_f32(y + i, ggml_v_silu(vld1q_f32(x + i)));
+    }
+#endif
+    for (; i < n; ++i) {
         y[i] = ggml_silu_f32(x[i]);
     }
 }
+
+static ggml_float ggml_vec_soft_max_f32(const int n, float * y, const float * x, float max) {
+    int i = 0;
+    ggml_float sum = 0;
+#if defined(__AVX512F__) && defined(__AVX512DQ__)
+    for (; i + 15 < n; i += 16) {
+        __m512 val = ggml_v_expf(_mm512_sub_ps(_mm512_loadu_ps(x + i),
+                                               _mm512_set1_ps(max)));
+        _mm512_storeu_ps(y + i, val);
+        sum += (ggml_float)_mm512_reduce_add_ps(val);
+    }
+#elif defined(__AVX2__) && defined(__FMA__)
+    for (; i + 7 < n; i += 8) {
+        __m256 val = ggml_v_expf(_mm256_sub_ps(_mm256_loadu_ps(x + i),
+                                               _mm256_set1_ps(max)));
+        _mm256_storeu_ps(y + i, val);
+        __m128 val2 = _mm_add_ps(_mm256_extractf128_ps(val, 1),
+                                 _mm256_castps256_ps128(val));
+        val2 = _mm_add_ps(val2, _mm_movehl_ps(val2, val2));
+        val2 = _mm_add_ss(val2, _mm_movehdup_ps(val2));
+        sum += (ggml_float)_mm_cvtss_f32(val2);
+    }
+#elif defined(__SSE2__)
+    for (; i + 3 < n; i += 4) {
+        __m128 val = ggml_v_expf(_mm_sub_ps(_mm_loadu_ps(x + i),
+                                            _mm_set1_ps(max)));
+        _mm_storeu_ps(y + i, val);
+#if defined(__AVX__) || defined(__AVX2__) || defined(__AVX512F__)
+        val = _mm_add_ps(val, _mm_movehl_ps(val, val));
+        val = _mm_add_ss(val, _mm_movehdup_ps(val));
+#else
+        __m128 tmp = _mm_shuffle_ps(val, val, _MM_SHUFFLE(2, 3, 0, 1));
+        val = _mm_add_ps(val, tmp);
+        tmp = _mm_movehl_ps(tmp, val);
+        val = _mm_add_ss(val, tmp);
 #endif
+        sum += (ggml_float)_mm_cvtss_f32(val);
+    }
+#elif defined(__ARM_NEON) && defined(__aarch64__)
+    for (; i + 3 < n; i += 4) {
+        float32x4_t val = ggml_v_expf(vsubq_f32(vld1q_f32(x + i),
+                                                vdupq_n_f32(max)));
+        vst1q_f32(y + i, val);
+        sum += (ggml_float)vaddvq_f32(val);
+    }
+#endif
+    for (; i < n; ++i) {
+        float val = expf(x[i] - max);
+        sum += (ggml_float)val;
+        y[i] = val;
+    }
+    return sum;
+}
 
 inline static float ggml_silu_backward_f32(float x, float dy) {
     const float s = 1.0f/(1.0f + expf(-x));
     return dy*s*(1.0f + x*(1.0f - s));
 }
 
-#ifdef GGML_SILU_FP16
-inline static void ggml_vec_silu_backward_f32(const int n, float * dx, const float * x, const float * dy) {
-    for (int i = 0; i < n; ++i) {
-        // we did not use x[i] to compute forward silu but its f16 equivalent
-        // take derivative at f16 of x[i]:
-        ggml_fp16_t fp16 = GGML_FP32_TO_FP16(x[i]);
-        float usedx = GGML_FP16_TO_FP32(fp16);
-        dx[i] = ggml_silu_backward_f32(usedx, dy[i]);
-    }
-}
-#else
 inline static void ggml_vec_silu_backward_f32(const int n, float * dx, const float * x, const float * dy) {
     for (int i = 0; i < n; ++i) {
         dx[i] = ggml_silu_backward_f32(x[i], dy[i]);
     }
 }
-#endif
 
 inline static void ggml_vec_sum_f32(const int n, float * s, const float * x) {
 #ifndef GGML_USE_ACCELERATE
@@ -2202,9 +2680,7 @@ static const char * GGML_OP_NAME[GGML_OP_COUNT] = {
     "ARGSORT",
     "LEAKY_RELU",
 
-    "FLASH_ATTN",
     "FLASH_ATTN_EXT",
-    "FLASH_FF",
     "FLASH_ATTN_BACK",
     "SSM_CONV",
     "SSM_SCAN",
@@ -2230,7 +2706,7 @@ static const char * GGML_OP_NAME[GGML_OP_COUNT] = {
     "CROSS_ENTROPY_LOSS_BACK",
 };
 
-static_assert(GGML_OP_COUNT == 76, "GGML_OP_COUNT != 76");
+static_assert(GGML_OP_COUNT == 74, "GGML_OP_COUNT != 74");
 
 static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = {
     "none",
@@ -2292,9 +2768,7 @@ static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = {
     "argsort(x)",
     "leaky_relu(x)",
 
-    "flash_attn(x)",
     "flash_attn_ext(x)",
-    "flash_ff(x)",
     "flash_attn_back(x)",
     "ssm_conv(x)",
     "ssm_scan(x)",
@@ -2320,7 +2794,7 @@ static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = {
     "cross_entropy_loss_back(x,y)",
 };
 
-static_assert(GGML_OP_COUNT == 76, "GGML_OP_COUNT != 76");
+static_assert(GGML_OP_COUNT == 74, "GGML_OP_COUNT != 74");
 
 static_assert(GGML_OP_POOL_COUNT == 2, "GGML_OP_POOL_COUNT != 2");
 
@@ -2383,32 +2857,6 @@ static void ggml_setup_op_has_task_pass(void) {
     }
 }
 
-//
-// ggml context
-//
-
-struct ggml_context {
-    size_t mem_size;
-    void * mem_buffer;
-    bool   mem_buffer_owned;
-    bool   no_alloc;
-    bool   no_alloc_save; // this is used to save the no_alloc state when using scratch buffers
-
-    int    n_objects;
-
-    struct ggml_object * objects_begin;
-    struct ggml_object * objects_end;
-
-    struct ggml_scratch scratch;
-    struct ggml_scratch scratch_save;
-};
-
-struct ggml_context_container {
-    bool used;
-
-    struct ggml_context context;
-};
-
 //
 // NUMA support
 //
@@ -2445,24 +2893,20 @@ struct ggml_state {
 
 // global state
 static struct ggml_state g_state;
-static atomic_int g_state_barrier = 0;
+static atomic_flag g_state_critical = ATOMIC_FLAG_INIT;
 
 // barrier via spin lock
 inline static void ggml_critical_section_start(void) {
-    int processing = atomic_fetch_add(&g_state_barrier, 1);
-
-    while (processing > 0) {
-        // wait for other threads to finish
-        atomic_fetch_sub(&g_state_barrier, 1);
-        sched_yield(); // TODO: reconsider this
-        processing = atomic_fetch_add(&g_state_barrier, 1);
+    while (atomic_flag_test_and_set(&g_state_critical)) {
+        // spin
+        sched_yield();
     }
 }
 
 // TODO: make this somehow automatically executed
 //       some sort of "sentry" mechanism
 inline static void ggml_critical_section_end(void) {
-    atomic_fetch_sub(&g_state_barrier, 1);
+    atomic_flag_clear(&g_state_critical);
 }
 
 #if defined(__gnu_linux__)
@@ -2778,7 +3222,11 @@ GGML_CALL bool ggml_is_contiguous(const struct ggml_tensor * tensor) {
         tensor->nb[3] == tensor->nb[2]*tensor->ne[2];
 }
 
-static inline bool ggml_is_contiguous_except_dim_1(const struct ggml_tensor * tensor) {
+GGML_CALL bool ggml_is_contiguous_0(const struct ggml_tensor * tensor) {
+    return ggml_is_contiguous(tensor);
+}
+
+GGML_CALL bool ggml_is_contiguous_1(const struct ggml_tensor * tensor) {
     static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
 
     return
@@ -2787,6 +3235,14 @@ static inline bool ggml_is_contiguous_except_dim_1(const struct ggml_tensor * te
         tensor->nb[3] == tensor->nb[2]*tensor->ne[2];
 }
 
+GGML_CALL bool ggml_is_contiguous_2(const struct ggml_tensor * tensor) {
+    static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
+
+    return
+        tensor->nb[0] == ggml_type_size(tensor->type) &&
+        tensor->nb[3] == tensor->nb[2]*tensor->ne[2];
+}
+
 GGML_CALL bool ggml_is_permuted(const struct ggml_tensor * tensor) {
     static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
 
@@ -2822,6 +3278,16 @@ bool ggml_are_same_shape(const struct ggml_tensor * t0, const struct ggml_tensor
         (t0->ne[3] == t1->ne[3] );
 }
 
+bool ggml_are_same_stride(const struct ggml_tensor * t0, const struct ggml_tensor * t1) {
+    static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
+
+    return
+        (t0->nb[0] == t1->nb[0] ) &&
+        (t0->nb[1] == t1->nb[1] ) &&
+        (t0->nb[2] == t1->nb[2] ) &&
+        (t0->nb[3] == t1->nb[3] );
+}
+
 // check if t1 can be represented as a repeatition of t0
 static inline bool ggml_can_repeat(const struct ggml_tensor * t0, const struct ggml_tensor * t1) {
     static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
@@ -2881,8 +3347,6 @@ struct ggml_context * ggml_init(struct ggml_init_params params) {
                 float f = ggml_table_f32_f16[i] = GGML_COMPUTE_FP16_TO_FP32(u.fp16);
                 ggml_table_gelu_f16[i] = GGML_FP32_TO_FP16(ggml_gelu_f32(f));
                 ggml_table_gelu_quick_f16[i] = GGML_FP32_TO_FP16(ggml_gelu_quick_f32(f));
-                ggml_table_silu_f16[i] = GGML_FP32_TO_FP16(ggml_silu_f32(f));
-                ggml_table_exp_f16[i] = GGML_FP32_TO_FP16(expf(f));
             }
 
             const uint64_t t_end = ggml_time_us(); UNUSED(t_end);
@@ -2911,10 +3375,6 @@ struct ggml_context * ggml_init(struct ggml_init_params params) {
             GGML_PRINT_DEBUG("%s: g_state initialized in %f ms\n", __func__, (t_end - t_start)/1000.0f);
         }
 
-#if defined(GGML_USE_CLBLAST)
-        ggml_cl_init();
-#endif
-
         ggml_setup_op_has_task_pass();
 
         is_first_call = false;
@@ -3166,6 +3626,12 @@ static struct ggml_tensor * ggml_new_tensor_impl(
 
     struct ggml_tensor * const result = (struct ggml_tensor *)((char *)ctx->mem_buffer + obj_new->offs);
 
+#ifdef __clang__
+    // temporary until ggml_tensor::backend is removed
+    #pragma clang diagnostic push
+    #pragma clang diagnostic ignored "-Wdeprecated-declarations"
+#endif
+
     *result = (struct ggml_tensor) {
         /*.type         =*/ type,
         /*.backend      =*/ GGML_BACKEND_TYPE_CPU,
@@ -3188,6 +3654,10 @@ static struct ggml_tensor * ggml_new_tensor_impl(
         /*.padding      =*/ { 0 },
     };
 
+#ifdef __clang__
+    #pragma clang diagnostic pop
+#endif
+
     // TODO: this should not be needed as long as we don't rely on aligned SIMD loads
     //ggml_assert_aligned(result->data);
 
@@ -4426,10 +4896,21 @@ struct ggml_tensor * ggml_repeat_back(
 // ggml_concat
 
 struct ggml_tensor * ggml_concat(
-    struct ggml_context* ctx,
-    struct ggml_tensor* a,
-    struct ggml_tensor* b) {
-    GGML_ASSERT(a->ne[0] == b->ne[0] && a->ne[1] == b->ne[1] && a->ne[3] == b->ne[3]);
+    struct ggml_context * ctx,
+    struct ggml_tensor * a,
+    struct ggml_tensor * b,
+    int dim) {
+    GGML_ASSERT(dim >= 0 && dim < GGML_MAX_DIMS);
+
+    int64_t ne[GGML_MAX_DIMS];
+    for (int d = 0; d < GGML_MAX_DIMS; ++d) {
+        if (d == dim) {
+            ne[d] = a->ne[d] + b->ne[d];
+            continue;
+        }
+        GGML_ASSERT(a->ne[d] == b->ne[d]);
+        ne[d] = a->ne[d];
+    }
 
     bool is_node = false;
 
@@ -4437,7 +4918,9 @@ struct ggml_tensor * ggml_concat(
         is_node = true;
     }
 
-    struct ggml_tensor * result = ggml_new_tensor_4d(ctx, a->type, a->ne[0], a->ne[1], a->ne[2] + b->ne[2], a->ne[3]);
+    struct ggml_tensor * result = ggml_new_tensor(ctx, a->type, GGML_MAX_DIMS, ne);
+
+    ggml_set_op_params_i32(result, 0, dim);
 
     result->op = GGML_OP_CONCAT;
     result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
@@ -4557,6 +5040,7 @@ struct ggml_tensor * ggml_leaky_relu(
     }
 
     struct ggml_tensor * result = inplace ? ggml_view_tensor(ctx, a) : ggml_dup_tensor(ctx, a);
+
     ggml_set_op_params(result, &negative_slope, sizeof(negative_slope));
 
     result->op   = GGML_OP_LEAKY_RELU;
@@ -5763,23 +6247,28 @@ static struct ggml_tensor * ggml_rope_impl(
         struct ggml_context * ctx,
         struct ggml_tensor  * a,
         struct ggml_tensor  * b,
+        struct ggml_tensor  * c,
         int                   n_dims,
         int                   mode,
-        int                   n_ctx,
-        int                   n_orig_ctx,
+        int                   n_ctx_orig,
         float                 freq_base,
         float                 freq_scale,
         float                 ext_factor,
         float                 attn_factor,
         float                 beta_fast,
         float                 beta_slow,
-        float                 xpos_base,
-        bool                  xpos_down,
         bool                  inplace) {
+    GGML_ASSERT((mode & 1) == 0 && "mode & 1 == 1 is no longer supported");
+
     GGML_ASSERT(ggml_is_vector(b));
     GGML_ASSERT(b->type == GGML_TYPE_I32);
     GGML_ASSERT(a->ne[2] == b->ne[0]);
 
+    if (c) {
+        GGML_ASSERT(c->type == GGML_TYPE_F32);
+        GGML_ASSERT(c->ne[0] >= n_dims / 2);
+    }
+
     bool is_node = false;
 
     if (a->grad) {
@@ -5788,21 +6277,20 @@ static struct ggml_tensor * ggml_rope_impl(
 
     struct ggml_tensor * result = inplace ? ggml_view_tensor(ctx, a) : ggml_dup_tensor(ctx, a);
 
-    int32_t params[13] = { /*n_past*/ 0, n_dims, mode, n_ctx, n_orig_ctx };
+    int32_t params[11] = { /*n_past*/ 0, n_dims, mode, /*n_ctx*/ 0, n_ctx_orig };
     memcpy(params +  5, &freq_base,    sizeof(float));
     memcpy(params +  6, &freq_scale,   sizeof(float));
     memcpy(params +  7, &ext_factor,   sizeof(float));
     memcpy(params +  8, &attn_factor,  sizeof(float));
     memcpy(params +  9, &beta_fast,    sizeof(float));
     memcpy(params + 10, &beta_slow,    sizeof(float));
-    memcpy(params + 11, &xpos_base,    sizeof(float));
-    memcpy(params + 12, &xpos_down,    sizeof(bool));
     ggml_set_op_params(result, params, sizeof(params));
 
     result->op   = GGML_OP_ROPE;
     result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
     result->src[0] = a;
     result->src[1] = b;
+    result->src[2] = c;
 
     return result;
 }
@@ -5812,10 +6300,9 @@ struct ggml_tensor * ggml_rope(
         struct ggml_tensor  * a,
         struct ggml_tensor  * b,
         int                   n_dims,
-        int                   mode,
-        int                   n_ctx) {
+        int                   mode) {
     return ggml_rope_impl(
-        ctx, a, b, n_dims, mode, n_ctx, 0, 10000.0f, 1.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, false, false
+        ctx, a, b, NULL, n_dims, mode, 0, 10000.0f, 1.0f, 0.0f, 1.0f, 0.0f, 0.0f, false
     );
 }
 
@@ -5824,10 +6311,49 @@ struct ggml_tensor * ggml_rope_inplace(
         struct ggml_tensor  * a,
         struct ggml_tensor  * b,
         int                   n_dims,
-        int                   mode,
-        int                   n_ctx) {
+        int                   mode) {
     return ggml_rope_impl(
-        ctx, a, b, n_dims, mode, n_ctx, 0, 10000.0f, 1.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, false, true
+        ctx, a, b, NULL, n_dims, mode, 0, 10000.0f, 1.0f, 0.0f, 1.0f, 0.0f, 0.0f, true
+    );
+}
+
+struct ggml_tensor * ggml_rope_ext(
+        struct ggml_context * ctx,
+        struct ggml_tensor  * a,
+        struct ggml_tensor  * b,
+        struct ggml_tensor  * c,
+        int                   n_dims,
+        int                   mode,
+        int                   n_ctx_orig,
+        float                 freq_base,
+        float                 freq_scale,
+        float                 ext_factor,
+        float                 attn_factor,
+        float                 beta_fast,
+        float                 beta_slow) {
+    return ggml_rope_impl(
+        ctx, a, b, c, n_dims, mode, n_ctx_orig, freq_base, freq_scale,
+        ext_factor, attn_factor, beta_fast, beta_slow, false
+    );
+}
+
+struct ggml_tensor * ggml_rope_ext_inplace(
+        struct ggml_context * ctx,
+        struct ggml_tensor  * a,
+        struct ggml_tensor  * b,
+        struct ggml_tensor  * c,
+        int                   n_dims,
+        int                   mode,
+        int                   n_ctx_orig,
+        float                 freq_base,
+        float                 freq_scale,
+        float                 ext_factor,
+        float                 attn_factor,
+        float                 beta_fast,
+        float                 beta_slow) {
+    return ggml_rope_impl(
+        ctx, a, b, c, n_dims, mode, n_ctx_orig, freq_base, freq_scale,
+        ext_factor, attn_factor, beta_fast, beta_slow, true
     );
 }
 
@@ -5837,8 +6363,7 @@ struct ggml_tensor * ggml_rope_custom(
         struct ggml_tensor  * b,
         int                   n_dims,
         int                   mode,
-        int                   n_ctx,
-        int                   n_orig_ctx,
+        int                   n_ctx_orig,
         float                 freq_base,
         float                 freq_scale,
         float                 ext_factor,
@@ -5846,8 +6371,8 @@ struct ggml_tensor * ggml_rope_custom(
         float                 beta_fast,
         float                 beta_slow) {
     return ggml_rope_impl(
-        ctx, a, b, n_dims, mode, n_ctx, n_orig_ctx, freq_base, freq_scale,
-        ext_factor, attn_factor, beta_fast, beta_slow, 0.0f, false, false
+        ctx, a, b, NULL, n_dims, mode, n_ctx_orig, freq_base, freq_scale,
+        ext_factor, attn_factor, beta_fast, beta_slow, false
     );
 }
 
@@ -5857,8 +6382,7 @@ struct ggml_tensor * ggml_rope_custom_inplace(
         struct ggml_tensor  * b,
         int                   n_dims,
         int                   mode,
-        int                   n_ctx,
-        int                   n_orig_ctx,
+        int                   n_ctx_orig,
         float                 freq_base,
         float                 freq_scale,
         float                 ext_factor,
@@ -5866,42 +6390,31 @@ struct ggml_tensor * ggml_rope_custom_inplace(
         float                 beta_fast,
         float                 beta_slow) {
     return ggml_rope_impl(
-        ctx, a, b, n_dims, mode, n_ctx, n_orig_ctx, freq_base, freq_scale,
-        ext_factor, attn_factor, beta_fast, beta_slow, 0.0f, false, true
+        ctx, a, b, NULL, n_dims, mode, n_ctx_orig, freq_base, freq_scale,
+        ext_factor, attn_factor, beta_fast, beta_slow, true
     );
 }
 
-struct ggml_tensor * ggml_rope_xpos_inplace(
-        struct ggml_context * ctx,
-        struct ggml_tensor  * a,
-        struct ggml_tensor  * b,
-        int                   n_dims,
-        float                 base,
-        bool                  down) {
-    return ggml_rope_impl(ctx, a, b, n_dims, 0, 0, 0, 10000.0f, 1.0f, 0.0f, 1.0f, 0.0f, 0.0f, base, down, true);
-}
-
 // ggml_rope_back
 
 struct ggml_tensor * ggml_rope_back(
         struct ggml_context * ctx,
         struct ggml_tensor  * a,
         struct ggml_tensor  * b,
+        struct ggml_tensor  * c,
         int                   n_dims,
         int                   mode,
-        int                   n_ctx,
-        int                   n_orig_ctx,
+        int                   n_ctx_orig,
         float                 freq_base,
         float                 freq_scale,
         float                 ext_factor,
         float                 attn_factor,
         float                 beta_fast,
-        float                 beta_slow,
-        float                 xpos_base,
-        bool                  xpos_down) {
+        float                 beta_slow) {
     GGML_ASSERT(ggml_is_vector(b));
     GGML_ASSERT(b->type == GGML_TYPE_I32);
     GGML_ASSERT(a->ne[2] == b->ne[0]);
+    GGML_ASSERT(c == NULL && "freq factors not implemented yet");
 
     GGML_ASSERT((mode & 4) == 0 && "ggml_rope_back() for ChatGLM not implemented yet");
 
@@ -5913,15 +6426,13 @@ struct ggml_tensor * ggml_rope_back(
 
     struct ggml_tensor * result = ggml_dup_tensor(ctx, a);
 
-    int32_t params[13] = { /*n_past*/ 0, n_dims, mode, n_ctx, n_orig_ctx };
+    int32_t params[11] = { /*n_past*/ 0, n_dims, mode, /*n_ctx*/ 0, n_ctx_orig };
     memcpy(params +  5, &freq_base,    sizeof(float));
     memcpy(params +  6, &freq_scale,   sizeof(float));
     memcpy(params +  7, &ext_factor,   sizeof(float));
     memcpy(params +  8, &attn_factor,  sizeof(float));
     memcpy(params +  9, &beta_fast,    sizeof(float));
     memcpy(params + 10, &beta_slow,    sizeof(float));
-    memcpy(params + 11, &xpos_base,    sizeof(float));
-    memcpy(params + 12, &xpos_down,    sizeof(bool));
     ggml_set_op_params(result, params, sizeof(params));
 
     result->op   = GGML_OP_ROPE_BACK;
@@ -6281,7 +6792,10 @@ struct ggml_tensor * ggml_pool_2d(
 static struct ggml_tensor * ggml_upscale_impl(
     struct ggml_context * ctx,
     struct ggml_tensor * a,
-    int scale_factor) {
+    int ne0,
+    int ne1,
+    int ne2,
+    int ne3) {
     bool is_node = false;
 
     if (a->grad) {
@@ -6289,19 +6803,45 @@ static struct ggml_tensor * ggml_upscale_impl(
         is_node = true;
     }
 
+    GGML_ASSERT(a->ne[0] <= ne0);
+    GGML_ASSERT(a->ne[1] <= ne1);
+    GGML_ASSERT(a->ne[2] <= ne2);
+    GGML_ASSERT(a->ne[3] <= ne3);
+
     struct ggml_tensor * result = ggml_new_tensor_4d(ctx, a->type,
-            a->ne[0] * scale_factor,
-            a->ne[1] * scale_factor,
-            a->ne[2], a->ne[3]);
+            ne0,
+            ne1,
+            ne2,
+            ne3
+            );
 
     result->op = GGML_OP_UPSCALE;
-    result->op_params[0] = scale_factor;
+
     result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
     result->src[0] = a;
 
     return result;
 }
 
+struct ggml_tensor * ggml_upscale(
+    struct ggml_context * ctx,
+    struct ggml_tensor * a,
+    int scale_factor) {
+    return ggml_upscale_impl(ctx, a, a->ne[0] * scale_factor, a->ne[1] * scale_factor, a->ne[2], a->ne[3]);
+}
+
+struct ggml_tensor * ggml_upscale_ext(
+    struct ggml_context * ctx,
+    struct ggml_tensor * a,
+    int ne0,
+    int ne1,
+    int ne2,
+    int ne3) {
+    return ggml_upscale_impl(ctx, a, ne0, ne1, ne2, ne3);
+}
+
+// ggml_pad
+
 struct ggml_tensor * ggml_pad(
     struct ggml_context * ctx,
     struct ggml_tensor  * a,
@@ -6326,12 +6866,7 @@ struct ggml_tensor * ggml_pad(
     return result;
 }
 
-struct ggml_tensor * ggml_upscale(
-    struct ggml_context * ctx,
-    struct ggml_tensor * a,
-    int scale_factor) {
-    return ggml_upscale_impl(ctx, a, scale_factor);
-}
+// ggml_arange
 
 struct ggml_tensor * ggml_arange(
     struct ggml_context * ctx,
@@ -6353,6 +6888,8 @@ struct ggml_tensor * ggml_arange(
     return result;
 }
 
+// ggml_timestep_embedding
+
 struct ggml_tensor * ggml_timestep_embedding(
             struct ggml_context * ctx,
             struct ggml_tensor  * timesteps,
@@ -6419,38 +6956,6 @@ struct ggml_tensor * ggml_top_k(
     return result;
 }
 
-// ggml_flash_attn
-
-struct ggml_tensor * ggml_flash_attn(
-        struct ggml_context * ctx,
-        struct ggml_tensor  * q,
-        struct ggml_tensor  * k,
-        struct ggml_tensor  * v,
-        bool                  masked) {
-    GGML_ASSERT(ggml_can_mul_mat(k, q));
-    // TODO: check if vT can be multiplied by (k*qT)
-
-    bool is_node = false;
-
-    if (q->grad || k->grad || v->grad) {
-        is_node = true;
-    }
-
-    //struct ggml_tensor * result = ggml_dup_tensor(ctx, q);
-    struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, GGML_MAX_DIMS, q->ne);
-
-    int32_t t = masked ? 1 : 0;
-    ggml_set_op_params(result, &t, sizeof(t));
-
-    result->op   = GGML_OP_FLASH_ATTN;
-    result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
-    result->src[0] = q;
-    result->src[1] = k;
-    result->src[2] = v;
-
-    return result;
-}
-
 // ggml_flash_attn_ext
 
 struct ggml_tensor * ggml_flash_attn_ext(
@@ -6510,38 +7015,6 @@ void ggml_flash_attn_ext_set_prec(
     ggml_set_op_params_i32(a, 2, prec_i32); // scale is on first pos, max_bias on second
 }
 
-// ggml_flash_ff
-
-struct ggml_tensor * ggml_flash_ff(
-        struct ggml_context * ctx,
-        struct ggml_tensor  * a,
-        struct ggml_tensor  * b0,
-        struct ggml_tensor  * b1,
-        struct ggml_tensor  * c0,
-        struct ggml_tensor  * c1) {
-    GGML_ASSERT(ggml_can_mul_mat(b0, a));
-    // TODO: more checks
-
-    bool is_node = false;
-
-    if (a->grad || b0->grad || b1->grad || c0->grad || c1->grad) {
-        is_node = true;
-    }
-
-    //struct ggml_tensor * result = ggml_dup_tensor(ctx, a);
-    struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, GGML_MAX_DIMS, a->ne);
-
-    result->op   = GGML_OP_FLASH_FF;
-    result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
-    result->src[0] = a;
-    result->src[1] = b0;
-    result->src[2] = b1;
-    result->src[3] = c0;
-    result->src[4] = c1;
-
-    return result;
-}
-
 // ggml_flash_attn_back
 
 struct ggml_tensor * ggml_flash_attn_back(
@@ -6551,6 +7024,8 @@ struct ggml_tensor * ggml_flash_attn_back(
         struct ggml_tensor  * v,
         struct ggml_tensor  * d,
         bool                  masked) {
+    GGML_ASSERT(false && "TODO: adapt to ggml_flash_attn_ext() changes");
+
     GGML_ASSERT(ggml_can_mul_mat(k, q));
     // TODO: check if vT can be multiplied by (k*qT)
 
@@ -8543,17 +9018,6 @@ static void ggml_compute_forward_add_f32(
     const int ith = params->ith;
     const int nth = params->nth;
 
-#ifdef GGML_USE_CLBLAST
-    if (src1->backend == GGML_BACKEND_TYPE_GPU) {
-        // TODO: OpenCL kernel support full broadcast
-        GGML_ASSERT(ggml_can_repeat_rows(src1, src0));
-        if (ith == 0) {
-            ggml_cl_add(src0, src1, dst);
-        }
-        return;
-    }
-#endif
-
     const int nr  = ggml_nrows(src0);
 
     GGML_TENSOR_BINARY_OP_LOCALS
@@ -9661,17 +10125,6 @@ static void ggml_compute_forward_mul_f32(
     const int ith = params->ith;
     const int nth = params->nth;
 
-#if defined(GGML_USE_CLBLAST)
-    if (src1->backend == GGML_BACKEND_TYPE_GPU) {
-        // TODO: OpenCL kernel support full broadcast
-        GGML_ASSERT(ggml_can_repeat_rows(src1, src0));
-        if (ith == 0) {
-            ggml_cl_mul(src0, src1, dst);
-        }
-        return;
-    }
-#endif
-
     const int64_t nr = ggml_nrows(src0);
 
     GGML_TENSOR_BINARY_OP_LOCALS
@@ -10504,26 +10957,29 @@ static void ggml_compute_forward_concat_f32(
     GGML_ASSERT(nb00 == sizeof(float));
     GGML_ASSERT(nb10 == sizeof(float));
 
+    const int32_t dim = ggml_get_op_params_i32(dst, 0);
+
+    GGML_ASSERT(dim >= 0 && dim < 4);
+
+    int64_t o[4] = {0, 0, 0, 0};
+    o[dim] = src0->ne[dim];
+
+    const float * x;
+
+    // TODO: smarter multi-theading
     for (int i3 = 0; i3 < ne3; i3++) {
         for (int i2 = ith; i2 < ne2; i2 += nth) {
-            if (i2 < ne02) { // src0
-                for (int i1 = 0; i1 < ne1; i1++) {
-                    for (int i0 = 0; i0 < ne0; i0++) {
-                        const float * x = (float *)((char *) src0->data + i0 * nb00 + i1 * nb01 + i2 * nb02 + i3 * nb03);
-
-                        float * y = (float *)((char *)dst->data + i0 * nb0 + i1 * nb1 + i2 * nb2 + i3 * nb3);
-                        *y = *x;
+            for (int i1 = 0; i1 < ne1; i1++) {
+                for (int i0 = 0; i0 < ne0; i0++) {
+                    if (i0 < ne00 && i1 < ne01 && i2 < ne02 && i3 < ne03) {
+                        x = (const float *) ((const char *)src0->data + (i0       )*nb00 + (i1       )*nb01 + (i2       )*nb02 + (i3       )*nb03);
+                    } else {
+                        x = (const float *) ((const char *)src1->data + (i0 - o[0])*nb10 + (i1 - o[1])*nb11 + (i2 - o[2])*nb12 + (i3 - o[3])*nb13);
                     }
-                }
-            } // src1
-            else {
-                for (int i1 = 0; i1 < ne1; i1++) {
-                    for (int i0 = 0; i0 < ne0; i0++) {
-                        const float * x = (float *)((char *) src1->data + i0 * nb10 + i1 * nb11 + (i2 - ne02) * nb12 + i3 * nb13);
 
-                        float * y = (float *)((char *)dst->data + i0 * nb0 + i1 * nb1 + i2 * nb2 + i3 * nb3);
-                        *y = *x;
-                    }
+                    float * y = (float *)((char *)dst->data + i0*nb0 + i1*nb1 + i2*nb2 + i3*nb3);
+
+                    *y = *x;
                 }
             }
         }
@@ -10531,8 +10987,8 @@ static void ggml_compute_forward_concat_f32(
 }
 
 static void ggml_compute_forward_concat(
-    const struct ggml_compute_params* params,
-    struct ggml_tensor* dst) {
+    const struct ggml_compute_params * params,
+    struct ggml_tensor * dst) {
 
     const struct ggml_tensor * src0 = dst->src[0];
 
@@ -10925,8 +11381,8 @@ static void ggml_compute_forward_gelu_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(ggml_is_contiguous_except_dim_1(src0));
-    GGML_ASSERT(ggml_is_contiguous_except_dim_1(dst));
+    GGML_ASSERT(ggml_is_contiguous_1(src0));
+    GGML_ASSERT(ggml_is_contiguous_1(dst));
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -10988,8 +11444,8 @@ static void ggml_compute_forward_gelu_quick_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(ggml_is_contiguous_except_dim_1(src0));
-    GGML_ASSERT(ggml_is_contiguous_except_dim_1(dst));
+    GGML_ASSERT(ggml_is_contiguous_1(src0));
+    GGML_ASSERT(ggml_is_contiguous_1(dst));
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11051,8 +11507,8 @@ static void ggml_compute_forward_silu_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(ggml_is_contiguous_except_dim_1(src0));
-    GGML_ASSERT(ggml_is_contiguous_except_dim_1(dst));
+    GGML_ASSERT(ggml_is_contiguous_1(src0));
+    GGML_ASSERT(ggml_is_contiguous_1(dst));
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11163,9 +11619,9 @@ static void ggml_compute_forward_silu_back_f32(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * grad = dst->src[1];
 
-    GGML_ASSERT(ggml_is_contiguous_except_dim_1(grad));
-    GGML_ASSERT(ggml_is_contiguous_except_dim_1(src0));
-    GGML_ASSERT(ggml_is_contiguous_except_dim_1(dst));
+    GGML_ASSERT(ggml_is_contiguous_1(grad));
+    GGML_ASSERT(ggml_is_contiguous_1(src0));
+    GGML_ASSERT(ggml_is_contiguous_1(dst));
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
     GGML_ASSERT(ggml_are_same_shape(src0, grad));
 
@@ -11767,9 +12223,101 @@ static bool ggml_compute_forward_mul_mat_use_blas(struct ggml_tensor * dst) {
 }
 #endif
 
+static void ggml_compute_forward_mul_mat_one_chunk(
+    const struct ggml_compute_params * params,
+    struct ggml_tensor * dst,
+    const int64_t num_rows_per_vec_dot,
+    const int64_t ir0_start,
+    const int64_t ir0_end,
+    const int64_t ir1_start,
+    const int64_t ir1_end) {
+
+    const struct ggml_tensor * src0 = dst->src[0];
+    const struct ggml_tensor * src1 = dst->src[1];
+
+    GGML_TENSOR_BINARY_OP_LOCALS
+
+    const enum ggml_type type = src0->type;
+
+    const bool src1_cont = ggml_is_contiguous(src1);
+
+    ggml_vec_dot_t    const vec_dot = type_traits[type].vec_dot;
+    enum ggml_type    const vec_dot_type = type_traits[type].vec_dot_type;
+
+    // broadcast factors
+    const int64_t r2 = ne12 / ne02;
+    const int64_t r3 = ne13 / ne03;
+
+    //printf("ir0_start = %6lld, ir0_end = %6lld, ir1_start = %6lld, ir1_end = %6lld\n", ir0_start, ir0_end, ir1_start, ir1_end);
+
+    // threads with no work simply yield (not sure if it helps)
+    if (ir0_start >= ir0_end || ir1_start >= ir1_end) {
+        return;
+    }
+
+    const void * wdata = (src1->type == vec_dot_type) ? src1->data : params->wdata;
+    const size_t row_size = ggml_row_size(vec_dot_type, ne10);
+
+    assert(ne12 % ne02 == 0);
+    assert(ne13 % ne03 == 0);
+
+    // block-tiling attempt
+    const int64_t blck_0 = 16;
+    const int64_t blck_1 = 16;
+
+    const size_t src1_col_stride = src1_cont || src1->type != vec_dot_type ? row_size : nb11;
+
+    // attempt to reduce false-sharing (does not seem to make a difference)
+    // 16 * 2, accounting for mmla kernels
+    float tmp[32];
+
+    for (int64_t iir1 = ir1_start; iir1 < ir1_end; iir1 += blck_1) {
+        for (int64_t iir0 = ir0_start; iir0 < ir0_end; iir0 += blck_0) {
+            for (int64_t ir1 = iir1; ir1 < iir1 + blck_1 && ir1 < ir1_end; ir1 += num_rows_per_vec_dot) {
+                const int64_t i13 = (ir1 / (ne12 * ne1));
+                const int64_t i12 = (ir1 - i13 * ne12 * ne1) / ne1;
+                const int64_t i11 = (ir1 - i13 * ne12 * ne1 - i12 * ne1);
+
+                // broadcast src0 into src1
+                const int64_t i03 = i13 / r3;
+                const int64_t i02 = i12 / r2;
+
+                const int64_t i1 = i11;
+                const int64_t i2 = i12;
+                const int64_t i3 = i13;
+
+                const char * src0_row = (const char*)src0->data + (0 + i02 * nb02 + i03 * nb03);
+
+                // desc: when src1 is not a contiguous memory block we have to calculate the offset using the strides
+                //       if it is, then we have either copied the data to params->wdata and made it contiguous or we are using
+                //       the original src1 data pointer, so we should index using the indices directly
+                // TODO: this is a bit of a hack, we should probably have a better way to handle this
+                const char * src1_col = (const char*)wdata +
+                    (src1_cont || src1->type != vec_dot_type
+                        ? (i11 + i12 * ne11 + i13 * ne12 * ne11) * row_size
+                        : (i11 * nb11 + i12 * nb12 + i13 * nb13));
+                float * dst_col = (float*)((char*)dst->data + (i1 * nb1 + i2 * nb2 + i3 * nb3));
+
+                //for (int64_t ir0 = iir0; ir0 < iir0 + blck_0 && ir0 < ir0_end; ++ir0) {
+                //    vec_dot(ne00, &dst_col[ir0], src0_row + ir0*nb01, src1_col);
+                //}
+
+                for (int64_t ir0 = iir0; ir0 < iir0 + blck_0 && ir0 < ir0_end; ir0 += num_rows_per_vec_dot) {
+                    vec_dot(ne00, &tmp[ir0 - iir0], (num_rows_per_vec_dot > 1 ? 16 : 0), src0_row + ir0 * nb01, (num_rows_per_vec_dot > 1 ? nb01 : 0), src1_col, (num_rows_per_vec_dot > 1 ? src1_col_stride : 0), num_rows_per_vec_dot);
+                }
+
+                for (int cn = 0; cn < num_rows_per_vec_dot; ++cn) {
+                    memcpy(&dst_col[iir0 + cn * nb1 / nb0], tmp + (cn * 16), (MIN(iir0 + blck_0, ir0_end) - iir0) * sizeof(float));
+                }
+            }
+        }
+    }
+}
+
 static void ggml_compute_forward_mul_mat(
         const struct ggml_compute_params * params,
-              struct ggml_tensor * dst) {
+              struct ggml_tensor * dst,
+              struct ggml_compute_state * state) {
 
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
@@ -11784,9 +12332,6 @@ static void ggml_compute_forward_mul_mat(
 
     const enum ggml_type type = src0->type;
 
-    const bool src1_cont = ggml_is_contiguous(src1);
-
-    ggml_vec_dot_t    const vec_dot               = type_traits[type].vec_dot;
     enum ggml_type    const vec_dot_type          = type_traits[type].vec_dot_type;
     ggml_from_float_t const from_float_to_vec_dot = type_traits[vec_dot_type].from_float;
     int64_t           const vec_dot_num_rows      = type_traits[type].nrows;
@@ -11807,21 +12352,14 @@ static void ggml_compute_forward_mul_mat(
     GGML_ASSERT(nb2 <= nb3);
 
     // broadcast factors
-    const int64_t r2 = ne12/ne02;
-    const int64_t r3 = ne13/ne03;
+    const int64_t r2 = ne12 / ne02;
+    const int64_t r3 = ne13 / ne03;
+    UNUSED(r2);
+    UNUSED(r3);
 
     // nb01 >= nb00 - src0 is not transposed
     //   compute by src0 rows
 
-#if defined(GGML_USE_CLBLAST)
-    if (ggml_cl_can_mul_mat(src0, src1, dst)) {
-        if (params->ith == 0 && params->type == GGML_TASK_TYPE_COMPUTE) {
-            ggml_cl_mul_mat(src0, src1, dst, params->wdata, params->wsize);
-        }
-        return;
-    }
-#endif
-
 #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
     if (ggml_compute_forward_mul_mat_use_blas(dst)) {
         const int64_t ne_plane      = ne01*ne00;
@@ -11890,6 +12428,8 @@ static void ggml_compute_forward_mul_mat(
 #endif
 
 #if GGML_USE_LLAMAFILE
+    const bool src1_cont = ggml_is_contiguous(src1);
+
     if (src1_cont) {
         for (int64_t i13 = 0; i13 < ne13; i13++)
             for (int64_t i12 = 0; i12 < ne12; i12++)
@@ -11915,6 +12455,8 @@ UseGgmlGemm1:;
         if (ith != 0) {
             return;
         }
+        // Every thread starts at ith, so the first unprocessed chunk is nth.  This save a bit of coordination right at the start.
+        atomic_store(&state->shared->current_chunk, nth);
         if (src1->type != vec_dot_type) {
             char * wdata = params->wdata;
             const size_t row_size = ggml_row_size(vec_dot_type, ne10);
@@ -11939,11 +12481,11 @@ UseGgmlGemm1:;
         return;
     }
 
-    const void * wdata    = (src1->type == vec_dot_type) ? src1->data : params->wdata;
-    const size_t row_size = ggml_row_size(vec_dot_type, ne10);
-
 #if GGML_USE_LLAMAFILE
     if (src1->type != vec_dot_type) {
+        const void* wdata = (src1->type == vec_dot_type) ? src1->data : params->wdata;
+        const size_t row_size = ggml_row_size(vec_dot_type, ne10);
+
         for (int64_t i13 = 0; i13 < ne13; i13++)
             for (int64_t i12 = 0; i12 < ne12; i12++)
                 if (!llamafile_sgemm(ne01, ne11, ne00/ggml_blck_size(src0->type),
@@ -11964,98 +12506,87 @@ UseGgmlGemm1:;
 UseGgmlGemm2:;
 #endif
 
-    const int64_t nr0 = ne01;          // src0 rows
-    const int64_t nr1 = ne1*ne12*ne13; // src1 rows
+#ifdef GGML_PERF
+    int chunks_executed = 0;
+    UNUSED(chunks_executed);
+#endif
 
-    //printf("nr0 = %lld, nr1 = %lld\n", nr0, nr1);
+    // This is the size of the first dimension of the result, so we can iterate that way. (see the ASSERT above, these are the same numbers)
+    const int64_t nr0 = ne0;
 
-    // distribute the thread work across the inner or outer loop based on which one is larger
-
-    const int64_t nth0 = nr0 > nr1 ? nth : 1; // parallelize by src0 rows
-    const int64_t nth1 = nr0 > nr1 ? 1 : nth; // parallelize by src1 rows
-
-    const int64_t ith0 = ith % nth0;
-    const int64_t ith1 = ith / nth0;
-
-    const int64_t dr0 = (nr0 + nth0 - 1)/nth0;
-    const int64_t dr1 = (nr1 + nth1 - 1)/nth1;
-
-    const int64_t ir010 = dr0*ith0;
-    const int64_t ir011 = MIN(ir010 + dr0, nr0);
-
-    const int64_t ir110 = dr1*ith1;
-    const int64_t ir111 = MIN(ir110 + dr1, nr1);
-
-    //printf("ir010 = %6lld, ir011 = %6lld, ir110 = %6lld, ir111 = %6lld\n", ir010, ir011, ir110, ir111);
-
-    // threads with no work simply yield (not sure if it helps)
-    if (ir010 >= ir011 || ir110 >= ir111) {
-        sched_yield();
-        return;
-    }
-
-    assert(ne12 % ne02 == 0);
-    assert(ne13 % ne03 == 0);
-
-    // block-tiling attempt
-    const int64_t blck_0 = 16;
-    const int64_t blck_1 = 16;
+    // This is the size of the rest of the dimensions of the result
+    const int64_t nr1 = ne1 * ne2 * ne3;
 
     // dot kernels can handle 1 row and col at a time, but mmla kernels can process 2 rows and cols
-    int64_t nrc = vec_dot_num_rows;
+    int64_t num_rows_per_vec_dot = vec_dot_num_rows;
     // TODO: currently the mmla kernels support only even numbered rows/cols.
     // this check can be removed once they are extended to support odd numbered rows/cols too
     if ((nr0 % 2 != 0) || (ne11 % 2 != 0)) {
-        nrc = 1;
+        num_rows_per_vec_dot = 1;
     }
 
-    const size_t src1_col_stride = src1_cont || src1->type != vec_dot_type ? row_size : nb11;
+    // Now select a reasonable chunk size.
+    int chunk_size = 16;
 
-    // attempt to reduce false-sharing (does not seem to make a difference)
-    // 16 * 2, accounting for mmla kernels
-    float tmp[32];
+    // We need to step up the size if it's small
+    if (nr0 == 1 || nr1 == 1) {
+        chunk_size = 64;
+    }
 
-    for (int64_t iir1 = ir110; iir1 < ir111; iir1 += blck_1) {
-        for (int64_t iir0 = ir010; iir0 < ir011; iir0 += blck_0) {
-            for (int64_t ir1 = iir1; ir1 < iir1 + blck_1 && ir1 < ir111; ir1 += nrc) {
-                const int64_t i13 = (ir1/(ne12*ne1));
-                const int64_t i12 = (ir1 - i13*ne12*ne1)/ne1;
-                const int64_t i11 = (ir1 - i13*ne12*ne1 - i12*ne1);
+    // distribute the work across the inner or outer loop based on which one is larger
+    // The number of chunks in the 0/1 dim.
+    // CEIL(nr0/chunk_size)
+    int64_t nchunk0 = (nr0 + chunk_size - 1) / chunk_size;
+    int64_t nchunk1 = (nr1 + chunk_size - 1) / chunk_size;
 
-                // broadcast src0 into src1
-                const int64_t i03 = i13/r3;
-                const int64_t i02 = i12/r2;
+    // If the chunking is poor for the number of threads on this setup, scrap the whole plan.  Re-chunk it by thread.
+    //   Also, chunking by thread was measured to have perform better on NUMA systems.  See https://github.com/ggerganov/llama.cpp/pull/6915
+    //   In theory, chunking should be just as useful on NUMA and non NUMA systems, but testing disagreed with that.
+    if (nchunk0 * nchunk1 < nth * 4 || ggml_is_numa()) {
+        // distribute the thread work across the inner or outer loop based on which one is larger
+        nchunk0 = nr0 > nr1 ? nth : 1; // parallelize by src0 rows
+        nchunk1 = nr0 > nr1 ? 1 : nth; // parallelize by src1 rows
+    }
 
-                const int64_t i1 = i11;
-                const int64_t i2 = i12;
-                const int64_t i3 = i13;
+    // The number of elements in each chunk
+    const int64_t dr0 = (nr0 + nchunk0 - 1) / nchunk0;
+    const int64_t dr1 = (nr1 + nchunk1 - 1) / nchunk1;
 
-                const char * src0_row = (const char *) src0->data + (0 + i02*nb02 + i03*nb03);
+    //if (ith == 0)
+    //    printf("MUL_MAT = [%d, %d, %d, %d] x [%d, %d, %d, %d] = %d x %d = %d.  Fp Ops/Ch %d\n", ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, nchunk0, nchunk1, nchunk0 * nchunk1, ne00 * nr0 * nr1 / nchunk0 / nchunk1);
 
-                // desc: when src1 is not a contiguous memory block we have to calculate the offset using the strides
-                //       if it is, then we have either copied the data to params->wdata and made it contiguous or we are using
-                //       the original src1 data pointer, so we should index using the indices directly
-                // TODO: this is a bit of a hack, we should probably have a better way to handle this
-                const char * src1_col = (const char *) wdata +
-                    (src1_cont || src1->type != vec_dot_type
-                     ? (i11      + i12*ne11 + i13*ne12*ne11)*row_size
-                     : (i11*nb11 + i12*nb12 + i13*nb13));
-                float * dst_col = (float *) ((char *) dst->data + (i1*nb1 + i2*nb2 + i3*nb3));
+    // The first chunk comes from our thread_id, the rest will get auto-assigned.
+    int current_chunk = ith;
 
-                //for (int64_t ir0 = iir0; ir0 < iir0 + blck_0 && ir0 < ir011; ++ir0) {
-                //    vec_dot(ne00, &dst_col[ir0], src0_row + ir0*nb01, src1_col);
-                //}
+    while (current_chunk < nchunk0 * nchunk1) {
+        const int64_t ith0 = current_chunk % nchunk0;
+        const int64_t ith1 = current_chunk / nchunk0;
 
-                for (int64_t ir0 = iir0; ir0 < iir0 + blck_0 && ir0 < ir011; ir0 += nrc) {
-                    vec_dot(ne00, &tmp[ir0 - iir0], (nrc>1 ? 16 : 0), src0_row + ir0*nb01, (nrc>1 ? nb01 : 0), src1_col, (nrc>1 ? src1_col_stride : 0), nrc);
-                }
+        const int64_t ir0_start = dr0 * ith0;
+        const int64_t ir0_end = MIN(ir0_start + dr0, nr0);
 
-                for (int cn = 0; cn < nrc; ++cn) {
-                    memcpy(&dst_col[iir0 + cn*nb1/nb0], tmp + (cn*16), (MIN(iir0 + blck_0, ir011) - iir0)*sizeof(float));
-                }
-            }
+        const int64_t ir1_start = dr1 * ith1;
+        const int64_t ir1_end = MIN(ir1_start + dr1, nr1);
+
+        ggml_compute_forward_mul_mat_one_chunk(params, dst, num_rows_per_vec_dot, ir0_start, ir0_end, ir1_start, ir1_end);
+
+#ifdef GGML_PERF
+        chunks_executed++;
+#endif
+
+        if (nth >= nchunk0 * nchunk1) {
+            break;
         }
+
+        current_chunk = atomic_fetch_add(&state->shared->current_chunk, 1);
     }
+
+#ifdef GGML_PERF
+    // These numbers are useful when trying to measure how well the threading scheduling works.
+    //int64_t workSize = (ne01 * ne11 * ne12 * ne13 * ne00) / nchunk0 / nchunk1;
+    //float time = (ggml_perf_time_us() - t0);
+    //printf("MUL_MAT = %f ms, [%d, %d, %d, %d] x [%d, %d, %d, %d] = %I64u, %f ops/usec in %d chunks.\n", time / 1000.0, ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, workSize, (float)workSize/time, chunks_executed);
+#endif
 }
 
 // ggml_compute_forward_mul_mat_id
@@ -12276,8 +12807,6 @@ static void ggml_compute_forward_out_prod_f32(
     // nb01 >= nb00 - src0 is not transposed
     //   compute by src0 rows
 
-    // TODO: #if defined(GGML_USE_CLBLAST)
-
 #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
     bool use_blas = ggml_is_matrix(src0) &&
         ggml_is_matrix(src1) &&
@@ -12475,7 +13004,7 @@ static void ggml_compute_forward_out_prod_q_f32(
     // nb01 >= nb00 - src0 is not transposed
     //   compute by src0 rows
 
-    // TODO: #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) || defined(GGML_USE_CLBLAST)
+    // TODO: #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
 
     if (params->type == GGML_TASK_TYPE_INIT) {
         if (ith != 0) {
@@ -13439,22 +13968,7 @@ static void ggml_compute_forward_soft_max_f32(
         float max = -INFINITY;
         ggml_vec_max_f32(nc, &max, wp);
 
-        ggml_float sum = 0.0;
-
-        uint16_t scvt;
-        for (int i = 0; i < nc; i++) {
-            if (wp[i] == -INFINITY) {
-                dp[i] = 0.0f;
-            } else {
-                // const float val = (wp[i] == -INFINITY) ? 0.0 : exp(wp[i] - max);
-                ggml_fp16_t s = GGML_FP32_TO_FP16(wp[i] - max);
-                memcpy(&scvt, &s, sizeof(scvt));
-                const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt]);
-                sum += (ggml_float)val;
-                dp[i] = val;
-            }
-        }
-
+        ggml_float sum = ggml_vec_soft_max_f32(nc, dp, wp, max);
         assert(sum > 0.0);
 
         sum = 1.0/sum;
@@ -13687,8 +14201,7 @@ static float rope_yarn_ramp(const float low, const float high, const int i0) {
 // MIT licensed. Copyright (c) 2023 Jeffrey Quesnelle and Bowen Peng.
 static void rope_yarn(
     float theta_extrap, float freq_scale, float corr_dims[2], int64_t i0, float ext_factor, float mscale,
-    float * cos_theta, float * sin_theta
-) {
+    float * cos_theta, float * sin_theta) {
     // Get n-d rotational scaling corrected for extrapolation
     float theta_interp = freq_scale * theta_extrap;
     float theta = theta_interp;
@@ -13705,18 +14218,19 @@ static void rope_yarn(
 
 // Apparently solving `n_rot = 2pi * x * base^((2 * max_pos_emb) / n_dims)` for x, we get
 // `corr_dim(n_rot) = n_dims * log(max_pos_emb / (n_rot * 2pi)) / (2 * log(base))`
-static float ggml_rope_yarn_corr_dim(int n_dims, int n_orig_ctx, float n_rot, float base) {
-    return n_dims * logf(n_orig_ctx / (n_rot * 2 * (float)M_PI)) / (2 * logf(base));
+static float ggml_rope_yarn_corr_dim(int n_dims, int n_ctx_orig, float n_rot, float base) {
+    return n_dims * logf(n_ctx_orig / (n_rot * 2 * (float)M_PI)) / (2 * logf(base));
 }
 
 static void ggml_rope_cache_init(
-     float theta_base, float freq_scale, float corr_dims[2], int64_t ne0, float ext_factor, float mscale,
-     float * cache, float sin_sign, float theta_scale
-) {
+     float theta_base, float freq_scale, const float * freq_factors, float corr_dims[2], int64_t ne0, float ext_factor, float mscale,
+     float * cache, float sin_sign, float theta_scale) {
+    // ref: https://github.com/jquesnelle/yarn/blob/master/scaled_rope/LlamaYaRNScaledRotaryEmbedding.py
     float theta = theta_base;
     for (int64_t i0 = 0; i0 < ne0; i0 += 2) {
+        const float ff = freq_factors ? freq_factors[i0/2] : 1.0f;
         rope_yarn(
-            theta, freq_scale, corr_dims, i0, ext_factor, mscale, &cache[i0 + 0], &cache[i0 + 1]
+            theta/ff, freq_scale, corr_dims, i0, ext_factor, mscale, &cache[i0 + 0], &cache[i0 + 1]
         );
         cache[i0 + 1] *= sin_sign;
 
@@ -13725,11 +14239,11 @@ static void ggml_rope_cache_init(
 }
 
 GGML_CALL void ggml_rope_yarn_corr_dims(
-    int n_dims, int n_orig_ctx, float freq_base, float beta_fast, float beta_slow, float dims[2]
+    int n_dims, int n_ctx_orig, float freq_base, float beta_fast, float beta_slow, float dims[2]
 ) {
     // start and end correction dims
-    float start = floorf(ggml_rope_yarn_corr_dim(n_dims, n_orig_ctx, beta_fast, freq_base));
-    float end   =  ceilf(ggml_rope_yarn_corr_dim(n_dims, n_orig_ctx, beta_slow, freq_base));
+    float start = floorf(ggml_rope_yarn_corr_dim(n_dims, n_ctx_orig, beta_fast, freq_base));
+    float end   =  ceilf(ggml_rope_yarn_corr_dim(n_dims, n_ctx_orig, beta_slow, freq_base));
     dims[0] = MAX(0, start);
     dims[1] = MIN(n_dims - 1, end);
 }
@@ -13741,6 +14255,7 @@ static void ggml_compute_forward_rope_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
+    const struct ggml_tensor * src2 = dst->src[2];
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
         return;
@@ -13748,15 +14263,11 @@ static void ggml_compute_forward_rope_f32(
 
     float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
 
-    // these two only relevant for xPos RoPE:
-    float xpos_base;
-    bool  xpos_down;
-
     //const int n_past     = ((int32_t *) dst->op_params)[0];
     const int n_dims     = ((int32_t *) dst->op_params)[1];
     const int mode       = ((int32_t *) dst->op_params)[2];
-    const int n_ctx      = ((int32_t *) dst->op_params)[3];
-    const int n_orig_ctx = ((int32_t *) dst->op_params)[4];
+    //const int n_ctx      = ((int32_t *) dst->op_params)[3];
+    const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
 
     memcpy(&freq_base,   (int32_t *) dst->op_params +  5, sizeof(float));
     memcpy(&freq_scale,  (int32_t *) dst->op_params +  6, sizeof(float));
@@ -13764,8 +14275,6 @@ static void ggml_compute_forward_rope_f32(
     memcpy(&attn_factor, (int32_t *) dst->op_params +  8, sizeof(float));
     memcpy(&beta_fast,   (int32_t *) dst->op_params +  9, sizeof(float));
     memcpy(&beta_slow,   (int32_t *) dst->op_params + 10, sizeof(float));
-    memcpy(&xpos_base,   (int32_t *) dst->op_params + 11, sizeof(float));
-    memcpy(&xpos_down,   (int32_t *) dst->op_params + 12, sizeof(bool));
 
     GGML_TENSOR_UNARY_OP_LOCALS
 
@@ -13793,12 +14302,18 @@ static void ggml_compute_forward_rope_f32(
     int ir = 0;
 
     const float theta_scale = powf(freq_base, -2.0f/n_dims);
-    const float inv_ndims = -1.f/n_dims;
+
     float corr_dims[2];
-    ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims);
+    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
 
     const bool is_neox = mode & 2;
-    const bool is_glm  = mode & 4;
+
+    const float * freq_factors = NULL;
+    if (src2 != NULL) {
+        GGML_ASSERT(src2->type == GGML_TYPE_F32);
+        GGML_ASSERT(src2->ne[0] >= n_dims / 2);
+        freq_factors = (const float *) src2->data;
+    }
 
     // backward process uses inverse rotation by cos and sin.
     // cos and sin build a rotation matrix, where the inverse is the transpose.
@@ -13812,106 +14327,57 @@ static void ggml_compute_forward_rope_f32(
             const int64_t p = pos[i2];
 
             float * cache = (float *) params->wdata + (ne0 + CACHE_LINE_SIZE_F32)*ith;
-            if (!is_glm && !is_neox) { // TODO: cache sin/cos for glm, neox
-                ggml_rope_cache_init(p, freq_scale, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
-            }
+            ggml_rope_cache_init(p, freq_scale, freq_factors, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
 
             for (int64_t i1 = 0; i1 < ne1; i1++) {
                 if (ir++ < ir0) continue;
                 if (ir   > ir1) break;
 
-                float theta_base = (float)p;
-
-                if (is_glm) {
-                    theta_base = MIN(p, n_ctx - 2);
-                    float block_theta = MAX(p - (n_ctx - 2), 0);
-                    for (int64_t i0 = 0; i0 < ne0 / 4; i0++) {
-                        const float cos_theta = cosf(theta_base);
-                        const float sin_theta = sinf(theta_base) * sin_sign;
-                        const float cos_block_theta = cosf(block_theta);
-                        const float sin_block_theta = sinf(block_theta) * sin_sign;
-
-                        theta_base *= theta_scale;
-                        block_theta *= theta_scale;
-
-                        const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                              float * dst_data  = (float *)((char *)  dst->data +  i3*nb3 + i2*nb2  + i1*nb1  + i0*nb0);
-
-                        const float x0 = src[0];
-                        const float x1 = src[n_dims/2];
-                        const float x2 = src[n_dims];
-                        const float x3 = src[n_dims/2*3];
-
-                        dst_data[0]          = x0*cos_theta - x1*sin_theta;
-                        dst_data[n_dims/2]   = x0*sin_theta + x1*cos_theta;
-                        dst_data[n_dims]     = x2*cos_block_theta - x3*sin_block_theta;
-                        dst_data[n_dims/2*3] = x2*sin_block_theta + x3*cos_block_theta;
-                    }
-                } else if (!is_neox) {
-                    for (int64_t i0 = 0; i0 < ne0; i0 += 2) {
+                if (!is_neox) {
+                    for (int64_t i0 = 0; i0 < n_dims; i0 += 2) {
                         const float cos_theta = cache[i0 + 0];
                         const float sin_theta = cache[i0 + 1];
 
-                        // zeta scaling for xPos only:
-                        float zeta = xpos_base != 0.0f ? powf((i0 + 0.4f * ne0) / (1.4f * ne0), p / xpos_base) : 1.0f;
-                        if (xpos_down) zeta = 1.0f / zeta;
-
                         const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
                               float * dst_data  = (float *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
 
                         const float x0 = src[0];
                         const float x1 = src[1];
 
-                        dst_data[0] = x0*cos_theta*zeta - x1*sin_theta*zeta;
-                        dst_data[1] = x0*sin_theta*zeta + x1*cos_theta*zeta;
+                        dst_data[0] = x0*cos_theta - x1*sin_theta;
+                        dst_data[1] = x0*sin_theta + x1*cos_theta;
                     }
                 } else {
-                    // TODO: this might be wrong for ne0 != n_dims - need double check
-                    //       it seems we have to rope just the first n_dims elements and do nothing with the rest
-                    // ref:  https://github.com/ml-explore/mlx/blob/dc2edc762c797e3b8de50b1dad4dc0a131691033/benchmarks/python/llama_jax_bench.py#L11-L26
-                    theta_base *= freq_scale;
-                    for (int64_t ic = 0; ic < ne0; ic += 2) {
-                        if (ic < n_dims) {
-                            const int64_t ib = 0;
+                    for (int64_t i0 = 0; i0 < n_dims; i0 += 2) {
+                        const int64_t ic = i0/2;
 
-                            // simplified from `(ib * n_dims + ic) * inv_ndims`
-                            float cur_rot = inv_ndims * ic - ib;
+                        const float cos_theta = cache[i0 + 0];
+                        const float sin_theta = cache[i0 + 1];
 
-                            float cos_theta, sin_theta;
-                            rope_yarn(
-                                theta_base, freq_scale, corr_dims, cur_rot, ext_factor, attn_factor,
-                                &cos_theta, &sin_theta
-                            );
-                            sin_theta *= sin_sign;
+                        const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + ic*nb00);
+                        float * dst_data  = (float *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + ic*nb0);
 
-                            theta_base *= theta_scale;
+                        const float x0 = src[0];
+                        const float x1 = src[n_dims/2];
 
-                            const int64_t i0 = ib*n_dims + ic/2;
-
-                            const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                                  float * dst_data  = (float *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
-
-                            const float x0 = src[0];
-                            const float x1 = src[n_dims/2];
-
-                            dst_data[0]        = x0*cos_theta - x1*sin_theta;
-                            dst_data[n_dims/2] = x0*sin_theta + x1*cos_theta;
-                        } else {
-                            const int64_t i0 = ic;
-
-                            const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                                  float * dst_data  = (float *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
-
-                            dst_data[0] = src[0];
-                            dst_data[1] = src[1];
-                        }
+                        dst_data[0]        = x0*cos_theta - x1*sin_theta;
+                        dst_data[n_dims/2] = x0*sin_theta + x1*cos_theta;
                     }
                 }
+
+                for (int64_t i0 = n_dims; i0 < ne0; i0 += 2) {
+                    const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+                    float * dst_data  = (float *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
+
+                    dst_data[0] = src[0];
+                    dst_data[1] = src[1];
+                }
             }
         }
     }
 }
 
+// TODO: deduplicate f16/f32 code
 static void ggml_compute_forward_rope_f16(
         const struct ggml_compute_params * params,
         struct ggml_tensor * dst,
@@ -13919,6 +14385,7 @@ static void ggml_compute_forward_rope_f16(
 
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
+    const struct ggml_tensor * src2 = dst->src[2];
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
         return;
@@ -13929,8 +14396,8 @@ static void ggml_compute_forward_rope_f16(
     //const int n_past     = ((int32_t *) dst->op_params)[0];
     const int n_dims     = ((int32_t *) dst->op_params)[1];
     const int mode       = ((int32_t *) dst->op_params)[2];
-    const int n_ctx      = ((int32_t *) dst->op_params)[3];
-    const int n_orig_ctx = ((int32_t *) dst->op_params)[4];
+    //const int n_ctx      = ((int32_t *) dst->op_params)[3];
+    const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
     memcpy(&freq_base,   (int32_t *) dst->op_params +  5, sizeof(float));
     memcpy(&freq_scale,  (int32_t *) dst->op_params +  6, sizeof(float));
     memcpy(&ext_factor,  (int32_t *) dst->op_params +  7, sizeof(float));
@@ -13964,12 +14431,18 @@ static void ggml_compute_forward_rope_f16(
     int ir = 0;
 
     const float theta_scale = powf(freq_base, -2.0f/n_dims);
-    const float inv_ndims = -1.f/n_dims;
+
     float corr_dims[2];
-    ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims);
+    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
 
     const bool is_neox = mode & 2;
-    const bool is_glm  = mode & 4;
+
+    const float * freq_factors = NULL;
+    if (src2 != NULL) {
+        GGML_ASSERT(src2->type == GGML_TYPE_F32);
+        GGML_ASSERT(src2->ne[0] >= n_dims / 2);
+        freq_factors = (const float *) src2->data;
+    }
 
     // backward process uses inverse rotation by cos and sin.
     // cos and sin build a rotation matrix, where the inverse is the transpose.
@@ -13983,43 +14456,14 @@ static void ggml_compute_forward_rope_f16(
             const int64_t p = pos[i2];
 
             float * cache = (float *) params->wdata + (ne0 + CACHE_LINE_SIZE_F32)*ith;
-            if (!is_glm && !is_neox) { // TODO: cache sin/cos for glm, neox
-                ggml_rope_cache_init(p, freq_scale, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
-            }
+            ggml_rope_cache_init(p, freq_scale, freq_factors, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
 
             for (int64_t i1 = 0; i1 < ne1; i1++) {
                 if (ir++ < ir0) continue;
                 if (ir   > ir1) break;
 
-                float theta_base = (float)p;
-
-                if (is_glm) {
-                    theta_base = MIN(p, n_ctx - 2);
-                    float block_theta = MAX(p - (n_ctx - 2), 0);
-                    for (int64_t i0 = 0; i0 < ne0 / 4; i0++) {
-                        const float cos_theta = cosf(theta_base);
-                        const float sin_theta = sinf(theta_base) * sin_sign;
-                        const float cos_block_theta = cosf(block_theta);
-                        const float sin_block_theta = sinf(block_theta) * sin_sign;
-
-                        theta_base *= theta_scale;
-                        block_theta *= theta_scale;
-
-                        const ggml_fp16_t * const src = (ggml_fp16_t *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                              ggml_fp16_t * dst_data  = (ggml_fp16_t *)((char *)  dst->data +  i3*nb3 + i2*nb2  + i1*nb1  + i0*nb0);
-
-                        const float x0 = GGML_FP16_TO_FP32(src[0]);
-                        const float x1 = GGML_FP16_TO_FP32(src[n_dims/2]);
-                        const float x2 = GGML_FP16_TO_FP32(src[n_dims]);
-                        const float x3 = GGML_FP16_TO_FP32(src[n_dims/2*3]);
-
-                        dst_data[0]          = GGML_FP32_TO_FP16(x0*cos_theta - x1*sin_theta);
-                        dst_data[n_dims/2]   = GGML_FP32_TO_FP16(x0*sin_theta + x1*cos_theta);
-                        dst_data[n_dims]     = GGML_FP32_TO_FP16(x2*cos_block_theta - x3*sin_block_theta);
-                        dst_data[n_dims/2*3] = GGML_FP32_TO_FP16(x2*sin_block_theta + x3*cos_block_theta);
-                    }
-                } else if (!is_neox) {
-                    for (int64_t i0 = 0; i0 < ne0; i0 += 2) {
+                if (!is_neox) {
+                    for (int64_t i0 = 0; i0 < n_dims; i0 += 2) {
                         const float cos_theta = cache[i0 + 0];
                         const float sin_theta = cache[i0 + 1];
 
@@ -14033,47 +14477,30 @@ static void ggml_compute_forward_rope_f16(
                         dst_data[1] = GGML_FP32_TO_FP16(x0*sin_theta + x1*cos_theta);
                     }
                 } else {
-                    // TODO: this might be wrong for ne0 != n_dims - need double check
-                    //       it seems we have to rope just the first n_dims elements and do nothing with the rest
-                    // ref:  https://github.com/ml-explore/mlx/blob/dc2edc762c797e3b8de50b1dad4dc0a131691033/benchmarks/python/llama_jax_bench.py#L11-L26
-                    theta_base *= freq_scale;
-                    for (int64_t ic = 0; ic < ne0; ic += 2) {
-                        if (ic < n_dims) {
-                            const int64_t ib = 0;
+                    for (int64_t i0 = 0; i0 < n_dims; i0 += 2) {
+                        const int64_t ic = i0/2;
 
-                            // simplified from `(ib * n_dims + ic) * inv_ndims`
-                            float cur_rot = inv_ndims * ic - ib;
+                        const float cos_theta = cache[i0 + 0];
+                        const float sin_theta = cache[i0 + 1];
 
-                            float cos_theta, sin_theta;
-                            rope_yarn(
-                                theta_base, freq_scale, corr_dims, cur_rot, ext_factor, attn_factor,
-                                &cos_theta, &sin_theta
-                            );
-                            sin_theta *= sin_sign;
+                        const ggml_fp16_t * const src = (ggml_fp16_t *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + ic*nb00);
+                        ggml_fp16_t * dst_data  = (ggml_fp16_t *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + ic*nb0);
 
-                            theta_base *= theta_scale;
+                        const float x0 = GGML_FP16_TO_FP32(src[0]);
+                        const float x1 = GGML_FP16_TO_FP32(src[n_dims/2]);
 
-                            const int64_t i0 = ib*n_dims + ic/2;
-
-                            const ggml_fp16_t * const src = (ggml_fp16_t *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                                  ggml_fp16_t * dst_data  = (ggml_fp16_t *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
-
-                            const float x0 = GGML_FP16_TO_FP32(src[0]);
-                            const float x1 = GGML_FP16_TO_FP32(src[n_dims/2]);
-
-                            dst_data[0]        = GGML_FP32_TO_FP16(x0*cos_theta - x1*sin_theta);
-                            dst_data[n_dims/2] = GGML_FP32_TO_FP16(x0*sin_theta + x1*cos_theta);
-                        } else {
-                            const int64_t i0 = ic;
-
-                            const ggml_fp16_t * const src = (ggml_fp16_t *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                                  ggml_fp16_t * dst_data  = (ggml_fp16_t *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
-
-                            dst_data[0] = src[0];
-                            dst_data[1] = src[1];
-                        }
+                        dst_data[0]        = GGML_FP32_TO_FP16(x0*cos_theta - x1*sin_theta);
+                        dst_data[n_dims/2] = GGML_FP32_TO_FP16(x0*sin_theta + x1*cos_theta);
                     }
                 }
+
+                for (int64_t i0 = n_dims; i0 < ne0; i0 += 2) {
+                    const ggml_fp16_t * const src = (ggml_fp16_t *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+                    ggml_fp16_t * dst_data  = (ggml_fp16_t *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
+
+                    dst_data[0] = src[0];
+                    dst_data[1] = src[1];
+                }
             }
         }
     }
@@ -14808,25 +15235,28 @@ static void ggml_compute_forward_upscale_f32(
         return;
     }
 
-    GGML_ASSERT(src0->nb[0] == sizeof(float));
+    GGML_ASSERT(src0->type == GGML_TYPE_F32);
 
     const int ith = params->ith;
     const int nth = params->nth;
 
     GGML_TENSOR_UNARY_OP_LOCALS
 
-    const int scale_factor = dst->op_params[0];
+    const float sf0 = (float)ne0/src0->ne[0];
+    const float sf1 = (float)ne1/src0->ne[1];
+    const float sf2 = (float)ne2/src0->ne[2];
+    const float sf3 = (float)ne3/src0->ne[3];
 
     // TODO: optimize
 
     for (int64_t i3 = 0; i3 < ne3; i3++) {
-        const int64_t i03 = i3;
+        const int64_t i03 = i3 / sf3;
         for (int64_t i2 = ith; i2 < ne2; i2 += nth) {
-            const int64_t i02 = i2;
+            const int64_t i02 = i2 / sf2;
             for (int64_t i1 = 0; i1 < ne1; i1++) {
-                const int64_t i01 = i1 / scale_factor;
+                const int64_t i01 = i1 / sf1;
                 for (int64_t i0 = 0; i0 < ne0; i0++) {
-                    const int64_t i00 = i0 / scale_factor;
+                    const int64_t i00 = i0 / sf0;
 
                     const float * x = (float *)((char *) src0->data + i00*nb00 + i01*nb01 + i02*nb02 + i03*nb03);
                           float * y = (float *)((char *)  dst->data +  i0*nb0  +  i1*nb1  +  i2*nb2  +  i3*nb3);
@@ -14856,6 +15286,7 @@ static void ggml_compute_forward_upscale(
     }
 }
 
+
 // ggml_compute_forward_pad
 
 static void ggml_compute_forward_pad_f32(
@@ -15080,451 +15511,6 @@ static void ggml_compute_forward_argsort(
     }
 }
 
-// ggml_compute_forward_flash_attn
-
-static void ggml_compute_forward_flash_attn_f32(
-        const struct ggml_compute_params * params,
-        const bool masked,
-        struct ggml_tensor * dst) {
-
-    const struct ggml_tensor * q = dst->src[0];
-    const struct ggml_tensor * k = dst->src[1];
-    const struct ggml_tensor * v = dst->src[2];
-
-    int64_t t0 = ggml_perf_time_us();
-    UNUSED(t0);
-
-    GGML_TENSOR_LOCALS(int64_t, neq, q,   ne)
-    GGML_TENSOR_LOCALS(size_t,  nbq, q,   nb)
-    GGML_TENSOR_LOCALS(int64_t, nek, k,   ne)
-    GGML_TENSOR_LOCALS(size_t,  nbk, k,   nb)
-    GGML_TENSOR_LOCALS(int64_t, nev, v,   ne)
-    GGML_TENSOR_LOCALS(size_t,  nbv, v,   nb)
-    GGML_TENSOR_LOCALS(int64_t, ne,  dst, ne)
-    GGML_TENSOR_LOCALS(size_t,  nb,  dst, nb)
-
-    const int ith = params->ith;
-    const int nth = params->nth;
-
-    const int64_t D = neq0;
-    const int64_t N = neq1;
-    const int64_t P = nek1 - N;
-    const int64_t M = P + N;
-
-    const int Mup = ggml_up(M, GGML_SOFT_MAX_UNROLL);
-
-    GGML_ASSERT(ne0 == D);
-    GGML_ASSERT(ne1 == N);
-    GGML_ASSERT(P >= 0);
-
-    GGML_ASSERT(nbq0 == sizeof(float));
-    GGML_ASSERT(nbk0 == sizeof(float));
-    GGML_ASSERT(nbv0 == sizeof(float));
-
-    GGML_ASSERT(neq0 == D);
-    GGML_ASSERT(nek0 == D);
-    GGML_ASSERT(nev1 == D);
-
-    GGML_ASSERT(neq1 == N);
-    GGML_ASSERT(nek1 == N + P);
-    GGML_ASSERT(nev1 == D);
-
-    // dst cannot be transposed or permuted
-    GGML_ASSERT(nb0 == sizeof(float));
-    GGML_ASSERT(nb0 <= nb1);
-    GGML_ASSERT(nb1 <= nb2);
-    GGML_ASSERT(nb2 <= nb3);
-
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
-    // parallelize by q rows using ggml_vec_dot_f32
-
-    // total rows in q
-    const int nr = neq1*neq2*neq3;
-
-    // rows per thread
-    const int dr = (nr + nth - 1)/nth;
-
-    // row range for this thread
-    const int ir0 = dr*ith;
-    const int ir1 = MIN(ir0 + dr, nr);
-
-    const float scale = 1.0f/sqrtf(D);
-
-    //printf("P=%d N=%d D=%d ir0=%d ir1=%d scale = %f\n", P, N, D, ir0, ir1, scale);
-
-    for (int ir = ir0; ir < ir1; ++ir) {
-        // q indices
-        const int iq3 = ir/(neq2*neq1);
-        const int iq2 = (ir - iq3*neq2*neq1)/neq1;
-        const int iq1 = (ir - iq3*neq2*neq1 - iq2*neq1);
-
-        float * S = (float *) params->wdata + ith*(Mup + CACHE_LINE_SIZE_F32);
-
-        for (int i = M; i < Mup; ++i) {
-            S[i] = -INFINITY;
-        }
-
-        const int64_t masked_begin = masked ? (P + iq1 + 1) : M;
-        for (int64_t ic = 0; ic < masked_begin; ++ic) {
-            // k indices
-            const int ik3 = iq3;
-            const int ik2 = iq2 % nek2;
-            const int ik1 = ic;
-
-            // S indices
-            const int i1 = ik1;
-
-            ggml_vec_dot_f32(neq0,
-                    S + i1, 0,
-                    (float *) ((char *) k->data + (ik1*nbk1 + ik2*nbk2 + ik3*nbk3)), 0,
-                    (float *) ((char *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3)), 0, 1);
-        }
-
-        // scale
-        ggml_vec_scale_f32(masked_begin, S, scale);
-
-        for (int64_t i = masked_begin; i < M; i++) {
-            S[i] = -INFINITY;
-        }
-
-        // softmax
-        // exclude known -INF S[..] values from max and loop
-        // dont forget to set their SW values to zero
-        {
-            float max = -INFINITY;
-            ggml_vec_max_f32(masked_begin, &max, S);
-
-            ggml_float sum = 0.0;
-            {
-#ifdef GGML_SOFT_MAX_ACCELERATE
-                max = -max;
-                vDSP_vsadd(S, 1, &max, S, 1, Mup);
-                vvexpf(S, S, &Mup);
-                ggml_vec_sum_f32(Mup, &sum, S);
-#else
-                uint16_t   scvt[GGML_SOFT_MAX_UNROLL]; UNUSED(scvt);
-                ggml_float sump[GGML_SOFT_MAX_UNROLL] = { 0.0 };
-
-                for (int i = 0; i < Mup; i += GGML_SOFT_MAX_UNROLL) {
-                    if (i >= masked_begin) {
-                        break;
-                    }
-                    float * SS = S + i;
-
-                    for (int j = 0; j < GGML_SOFT_MAX_UNROLL; ++j) {
-                        if (i + j >= masked_begin) {
-                            break;
-                        } else if (SS[j] == -INFINITY) {
-                            SS[j] = 0.0f;
-                        } else {
-#ifndef GGML_FLASH_ATTN_EXP_FP16
-                            const float val = expf(SS[j] - max);
-#else
-                            ggml_fp16_t s = GGML_FP32_TO_FP16(SS[j] - max);
-                            memcpy(&scvt[j], &s, sizeof(uint16_t));
-                            const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt[j]]);
-#endif
-                            sump[j] += (ggml_float)val;
-                            SS[j] = val;
-                        }
-                    }
-                }
-
-                for (int i = 0; i < GGML_SOFT_MAX_UNROLL; i++) {
-                    sum += sump[i];
-                }
-#endif
-            }
-
-            assert(sum > 0.0);
-
-            sum = 1.0/sum;
-            ggml_vec_scale_f32(masked_begin, S, sum);
-
-#ifndef NDEBUG
-            for (int i = 0; i < masked_begin; ++i) {
-                assert(!isnan(S[i]));
-                assert(!isinf(S[i]));
-            }
-#endif
-        }
-
-        for (int64_t ic = 0; ic < nev1; ++ic) {
-            // dst indices
-            const int i1 = iq1;
-            const int i2 = iq2;
-            const int i3 = iq3;
-
-            // v indices
-            const int iv2 = iq2 % nev2;
-            const int iv3 = iq3;
-
-            ggml_vec_dot_f32(masked_begin,
-                    (float *) ((char *) dst->data + (ic*nb0 + i1*nb1  + i2*nb2   + i3*nb3)), 0,
-                    (float *) ((char *) v->data   + (         ic*nbv1 + iv2*nbv2 + iv3*nbv3)), 0,
-                    S, 0, 1);
-        }
-    }
-}
-
-static void ggml_compute_forward_flash_attn_f16(
-        const struct ggml_compute_params * params,
-        const bool masked,
-        struct ggml_tensor * dst) {
-
-    const struct ggml_tensor * q = dst->src[0];
-    const struct ggml_tensor * k = dst->src[1];
-    const struct ggml_tensor * v = dst->src[2];
-
-    int64_t t0 = ggml_perf_time_us();
-    UNUSED(t0);
-
-    GGML_TENSOR_LOCALS(int64_t, neq, q,   ne)
-    GGML_TENSOR_LOCALS(size_t,  nbq, q,   nb)
-    GGML_TENSOR_LOCALS(int64_t, nek, k,   ne)
-    GGML_TENSOR_LOCALS(size_t,  nbk, k,   nb)
-    GGML_TENSOR_LOCALS(int64_t, nev, v,   ne)
-    GGML_TENSOR_LOCALS(size_t,  nbv, v,   nb)
-    GGML_TENSOR_LOCALS(int64_t, ne,  dst, ne)
-    GGML_TENSOR_LOCALS(size_t,  nb,  dst, nb)
-
-    const int ith = params->ith;
-    const int nth = params->nth;
-
-    const int64_t D = neq0;
-    const int64_t N = neq1;
-    const int64_t P = nek1 - N;
-    const int64_t M = P + N;
-
-    const int Mup = ggml_up(M, GGML_SOFT_MAX_UNROLL);
-
-    GGML_ASSERT(ne0 == D);
-    GGML_ASSERT(ne1 == N);
-    GGML_ASSERT(P >= 0);
-
-    GGML_ASSERT(nbq0 == sizeof(ggml_fp16_t));
-    GGML_ASSERT(nbk0 == sizeof(ggml_fp16_t));
-    GGML_ASSERT(nbv0 == sizeof(ggml_fp16_t));
-
-    GGML_ASSERT(neq0 == D);
-    GGML_ASSERT(nek0 == D);
-    GGML_ASSERT(nev1 == D);
-
-    GGML_ASSERT(neq1 == N);
-    GGML_ASSERT(nek1 == N + P);
-    GGML_ASSERT(nev1 == D);
-
-    // dst cannot be transposed or permuted
-    GGML_ASSERT(nb0 == sizeof(float));
-    GGML_ASSERT(nb0 <= nb1);
-    GGML_ASSERT(nb1 <= nb2);
-    GGML_ASSERT(nb2 <= nb3);
-
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
-    // parallelize by q rows using ggml_vec_dot_f32
-
-    // total rows in q
-    const int nr = neq1*neq2*neq3;
-
-    // rows per thread
-    const int dr = (nr + nth - 1)/nth;
-
-    // row range for this thread
-    const int ir0 = dr*ith;
-    const int ir1 = MIN(ir0 + dr, nr);
-
-    const float scale = 1.0f/sqrtf(D);
-
-    //printf("P=%d N=%d D=%d ir0=%d ir1=%d scale = %f\n", P, N, D, ir0, ir1, scale);
-
-    for (int ir = ir0; ir < ir1; ++ir) {
-        // q indices
-        const int iq3 = ir/(neq2*neq1);
-        const int iq2 = (ir - iq3*neq2*neq1)/neq1;
-        const int iq1 = (ir - iq3*neq2*neq1 - iq2*neq1);
-
-        float * S = (float *) params->wdata + ith*(2*Mup + CACHE_LINE_SIZE_F32);
-
-        for (int i = M; i < Mup; ++i) {
-            S[i] = -INFINITY;
-        }
-
-        if (GGML_VEC_DOT_UNROLL > 2 || nek1 % GGML_VEC_DOT_UNROLL != 0) {
-            for (int64_t ic = 0; ic < nek1; ++ic) {
-                // k indices
-                const int ik3 = iq3;
-                const int ik2 = iq2 % nek2;
-                const int ik1 = ic;
-
-                // S indices
-                const int i1 = ik1;
-
-                ggml_vec_dot_f16(neq0,
-                        S + i1, 0,
-                        (ggml_fp16_t *) ((char *) k->data + (ik1*nbk1 + ik2*nbk2 + ik3*nbk3)), 0,
-                        (ggml_fp16_t *) ((char *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3)), 0, 1);
-            }
-        } else {
-            for (int64_t ic = 0; ic < nek1; ic += GGML_VEC_DOT_UNROLL) {
-                // k indices
-                const int ik3 = iq3;
-                const int ik2 = iq2 % nek2;
-                const int ik1 = ic;
-
-                // S indices
-                const int i1 = ik1;
-
-                ggml_vec_dot_f16_unroll(neq0, nbk1,
-                        S + i1,
-                        ((char *) k->data + (ik1*nbk1 + ik2*nbk2 + ik3*nbk3)),
-                        (ggml_fp16_t *) ((char *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3)));
-            }
-        }
-
-        // scale
-        ggml_vec_scale_f32(nek1, S, scale);
-
-        if (masked) {
-            for (int64_t i = P; i < M; i++) {
-                if (i > P + iq1) {
-                    S[i] = -INFINITY;
-                }
-            }
-        }
-
-        // softmax
-        // todo: exclude known -INF S[..] values from max and loop, assuming their results to be zero.
-        // dont forget to set their S values to zero
-        {
-            float max = -INFINITY;
-            ggml_vec_max_f32(M, &max, S);
-
-            ggml_float sum = 0.0;
-            {
-#ifdef GGML_SOFT_MAX_ACCELERATE
-                max = -max;
-                vDSP_vsadd(S, 1, &max, S, 1, Mup);
-                vvexpf(S, S, &Mup);
-                ggml_vec_sum_f32(Mup, &sum, S);
-#else
-                uint16_t   scvt[GGML_SOFT_MAX_UNROLL];
-                ggml_float sump[GGML_SOFT_MAX_UNROLL] = { 0.0 };
-
-                for (int i = 0; i < Mup; i += GGML_SOFT_MAX_UNROLL) {
-                    float * SS = S + i;
-
-                    for (int j = 0; j < GGML_SOFT_MAX_UNROLL; ++j) {
-                        if (SS[j] == -INFINITY) {
-                            SS[j] = 0.0f;
-                        } else {
-                            ggml_fp16_t s = GGML_FP32_TO_FP16(SS[j] - max);
-                            memcpy(&scvt[j], &s, sizeof(uint16_t));
-                            const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt[j]]);
-                            sump[j] += (ggml_float)val;
-                            SS[j] = val;
-                        }
-                    }
-                }
-
-                for (int i = 0; i < GGML_SOFT_MAX_UNROLL; i++) {
-                    sum += sump[i];
-                }
-#endif
-            }
-
-            assert(sum > 0.0);
-
-            sum = 1.0/sum;
-            ggml_vec_scale_f32(M, S, sum);
-
-#ifndef NDEBUG
-            for (int i = 0; i < M; ++i) {
-                assert(!isnan(S[i]));
-                assert(!isinf(S[i]));
-            }
-#endif
-        }
-
-        ggml_fp16_t * S16 = (ggml_fp16_t *) ((float *) params->wdata + ith*(2*Mup + CACHE_LINE_SIZE_F32) + Mup);
-
-        for (int64_t i = 0; i < M; i++) {
-            S16[i] = GGML_FP32_TO_FP16(S[i]);
-        }
-
-        // todo: exclude known zero S[..] values from dot (reducing nev0 and increasing begin of v and S16).
-        if (GGML_VEC_DOT_UNROLL == 1 || (nev1 % GGML_VEC_DOT_UNROLL != 0)) {
-            for (int64_t ic = 0; ic < nev1; ++ic) {
-                // dst indices
-                const int i1 = iq1;
-                const int i2 = iq2;
-                const int i3 = iq3;
-
-                // v indices
-                const int iv2 = iq2 % nev2;
-                const int iv3 = iq3;
-
-                ggml_vec_dot_f16(nev0,
-                        (float *)       ((char *) dst->data + (ic*nb0 + i1*nb1  + i2*nb2   + i3*nb3)), 0,
-                        (ggml_fp16_t *) ((char *) v->data   + (         ic*nbv1 + iv2*nbv2 + iv3*nbv3)), 0,
-                        S16, 0, 1);
-            }
-        } else {
-            for (int64_t ic = 0; ic < nev1; ic += GGML_VEC_DOT_UNROLL) {
-                // dst indices
-                const int i1 = iq1;
-                const int i2 = iq2;
-                const int i3 = iq3;
-
-                // v indices
-                const int iv2 = iq2 % nev2;
-                const int iv3 = iq3;
-
-                ggml_vec_dot_f16_unroll(nev0, nbv1,
-                        (float *) ((char *) dst->data + (ic*nb0 + i1*nb1  + i2*nb2   + i3*nb3)),
-                        ((char *)             v->data + (         ic*nbv1 + iv2*nbv2 + iv3*nbv3)),
-                        S16);
-            }
-        }
-    }
-}
-
-static void ggml_compute_forward_flash_attn(
-        const struct ggml_compute_params * params,
-        const bool masked,
-        struct ggml_tensor * dst) {
-
-    const struct ggml_tensor * q = dst->src[0];
-
-    switch (q->type) {
-        case GGML_TYPE_F16:
-            {
-                ggml_compute_forward_flash_attn_f16(params, masked, dst);
-            } break;
-        case GGML_TYPE_F32:
-            {
-                ggml_compute_forward_flash_attn_f32(params, masked, dst);
-            } break;
-        default:
-            {
-                GGML_ASSERT(false);
-            } break;
-    }
-}
-
 // ggml_compute_forward_flash_attn_ext
 
 static void ggml_compute_forward_flash_attn_ext_f16(
@@ -15555,9 +15541,10 @@ static void ggml_compute_forward_flash_attn_ext_f16(
     GGML_ASSERT(ne0 == D);
     GGML_ASSERT(ne2 == N);
 
-    GGML_ASSERT(nbq0 == sizeof(float));
-    GGML_ASSERT(nbk0 == sizeof(ggml_fp16_t));
-    GGML_ASSERT(nbv0 == sizeof(ggml_fp16_t));
+    // input tensor rows must be contiguous
+    GGML_ASSERT(nbq0 == ggml_type_size(q->type));
+    GGML_ASSERT(nbk0 == ggml_type_size(k->type));
+    GGML_ASSERT(nbv0 == ggml_type_size(v->type));
 
     GGML_ASSERT(neq0 == D);
     GGML_ASSERT(nek0 == D);
@@ -15611,6 +15598,11 @@ static void ggml_compute_forward_flash_attn_ext_f16(
     const float m0 = powf(2.0f, -(max_bias       ) / n_head_log2);
     const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
 
+    enum ggml_type    const k_vec_dot_type = type_traits[k->type].vec_dot_type;
+    ggml_from_float_t const q_to_vec_dot   = type_traits[k_vec_dot_type].from_float;
+    ggml_vec_dot_t    const kq_vec_dot     = type_traits[k->type].vec_dot;
+    ggml_to_float_t   const v_to_float     = type_traits[v->type].to_float;
+
     // loop over n_batch and n_head
     for (int ir = ir0; ir < ir1; ++ir) {
         // q indices
@@ -15618,17 +15610,22 @@ static void ggml_compute_forward_flash_attn_ext_f16(
         const int iq2 = (ir - iq3*neq2*neq1)/neq1;
         const int iq1 = (ir - iq3*neq2*neq1 - iq2*neq1);
 
-        const uint32_t h = iq2; // head
+        const uint32_t h = iq2; // head index
         const float slope = (max_bias > 0.0f) ? h < n_head_log2 ? powf(m0, h + 1) : powf(m1, 2*(h - n_head_log2) + 1) : 1.0f;
 
-        float S = 0.0f;
-        float M = -INFINITY;
+        float S = 0.0f;      // sum
+        float M = -INFINITY; // maximum KQ value
 
-        float       * V32 = (float       *) params->wdata + ith*(2*D + CACHE_LINE_SIZE_F32);
-        ggml_fp16_t * Q16 = (ggml_fp16_t *) (V32); // reuse memory
-        ggml_fp16_t * V16 = (ggml_fp16_t *) (V32 + D);
+        float       * VKQ32 = (float       *) params->wdata + ith*(3*D + CACHE_LINE_SIZE_F32); // FP32 VKQ accumulator
+        float       * V32   =                 (VKQ32 + 1*D); // (temporary) FP32 V buffer
+        ggml_fp16_t * VKQ16 = (ggml_fp16_t *) (VKQ32 + 1*D); // (temporary) FP16 VKQ accumulator
+        ggml_fp16_t * Q_q   = (ggml_fp16_t *) (VKQ32 + 2*D); // (temporary) buffer for Q converted to quantized/FP16
 
-        memset(V16, 0, D*sizeof(ggml_fp16_t));
+        if (v->type == GGML_TYPE_F16) {
+            memset(VKQ16, 0, D*sizeof(ggml_fp16_t));
+        } else {
+            memset(VKQ32, 0, D*sizeof(float));
+        }
 
         const ggml_fp16_t * mp = mask ? (ggml_fp16_t *)((char *) mask->data + iq1*mask->nb[1]) : NULL;
 
@@ -15640,6 +15637,9 @@ static void ggml_compute_forward_flash_attn_ext_f16(
         const int iv3 = iq3 / rv3;
         const int iv2 = iq2 / rv2;
 
+        const float * pq = (const float *) ((char *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3));
+        q_to_vec_dot(pq, Q_q, D);
+
         // online softmax / attention
         // loop over n_kv and n_head_kv
         // ref: https://arxiv.org/pdf/2112.05682.pdf
@@ -15649,51 +15649,66 @@ static void ggml_compute_forward_flash_attn_ext_f16(
                 continue;
             }
 
-            float s;
+            float s; // KQ value
 
-            // convert Q to F16 in V32
-            {
-                const float * pq = (const float *) ((char *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3));
+            const char * k_data = (const char *) k->data + ( ic*nbk1 + ik2*nbk2 + ik3*nbk3);
+            kq_vec_dot(D, &s, 0, k_data, 0, Q_q, 0, 1);
 
-                for (int64_t d = 0; d < D; ++d) {
-                    Q16[d] = GGML_FP32_TO_FP16(pq[d]);
-                }
-            }
-
-            ggml_vec_dot_f16(D,
-                    &s, 0,
-                    (ggml_fp16_t *) ((char *) k->data + ( ic*nbk1 + ik2*nbk2 + ik3*nbk3)), 0,
-                    Q16, 0, 1);
-
-            s = s*scale + mv;
+            s = s*scale + mv; // scale KQ value and apply mask
 
             const float Mold = M;
 
-            float ms = 1.0f;
-            float vs = 1.0f;
+            float ms = 1.0f; // upon new higher max val, scale VKQ and KQ sum with this value
+            float vs = 1.0f; // post-softmax KQ value, expf(s - M)
 
-            if (s > M) {
-                M = s;
-                ms = expf(Mold - M);
+            const char * v_data = ((const char *) v->data + (ic*nbv1 + iv2*nbv2 + iv3*nbv3));
 
-                // V = V*expf(Mold - M)
-                ggml_vec_scale_f16(D, V16, ms);
+            if (v->type== GGML_TYPE_F16) {
+                if (s > M) {
+                    // s is new maximum, ms < 1.0f, vs == expf(s - s) == 1.0f
+                    M = s;
+                    ms = expf(Mold - M);
+
+                    // V = V*expf(Mold - M)
+                    ggml_vec_scale_f16(D, VKQ16, ms);
+                } else {
+                    // no new maximum, ms == 1.0f, vs != 1.0f
+                    vs = expf(s - M);
+                }
+
+                // V += v*expf(s - M)
+                ggml_vec_mad_f16(D, VKQ16, (const ggml_fp16_t *) v_data, vs);
             } else {
-                vs = expf(s - M);
+                if (s > M) {
+                    // s is new maximum, ms < 1.0f, vs == expf(s - s) == 1.0f
+                    M = s;
+                    ms = expf(Mold - M);
+
+                    // V = V*expf(Mold - M)
+                    ggml_vec_scale_f32(D, VKQ32, ms);
+                } else {
+                    // no new maximum, ms == 1.0f, vs != 1.0f
+                    vs = expf(s - M);
+                }
+
+                v_to_float(v_data, V32, D);
+
+                // V += v*expf(s - M)
+                ggml_vec_mad_f32(D, VKQ32, V32, vs);
             }
 
-            const ggml_fp16_t * v16 = (const ggml_fp16_t *) ((char *) v->data + (ic*nbv1 + iv2*nbv2 + iv3*nbv3));
+            S = S*ms + vs; // scale and increment sum with partial sum
+        }
 
-            // V += v*expf(s - M)
-            ggml_vec_mad_f16(D, V16, v16, vs);
-
-            S = S*ms + vs;
+        if (v->type == GGML_TYPE_F16) {
+            for (int64_t d = 0; d < D; ++d) {
+                VKQ32[d] = GGML_FP16_TO_FP32(VKQ16[d]);
+            }
         }
 
         // V /= S
-        for (int64_t d = 0; d < D; ++d) {
-            V32[d] = GGML_FP16_TO_FP32(V16[d])/S;
-        }
+        const float S_inv = 1.0f/S;
+        ggml_vec_scale_f32(D, VKQ32, S_inv);
 
         // dst indices
         const int i1 = iq1;
@@ -15704,7 +15719,7 @@ static void ggml_compute_forward_flash_attn_ext_f16(
         //memcpy((char *) dst->data + (i1*nb1 + i2*nb2 + i3*nb3), V, nev0*sizeof(float));
 
         // permute(0, 2, 1, 3)
-        memcpy((char *) dst->data + (i3*ne2*ne1 + i2 + i1*ne1)*nb1, V32, nb1);
+        memcpy((char *) dst->data + (i3*ne2*ne1 + i2 + i1*ne1)*nb1, VKQ32, nb1);
     }
 }
 
@@ -15729,165 +15744,6 @@ static void ggml_compute_forward_flash_attn_ext(
     }
 }
 
-// ggml_compute_forward_flash_ff
-
-static void ggml_compute_forward_flash_ff_f16(
-        const struct ggml_compute_params * params,
-        struct ggml_tensor * dst) {
-
-    const struct ggml_tensor * a = dst->src[0];  // F16
-    const struct ggml_tensor * b0 = dst->src[1]; // F16 fc_w
-    const struct ggml_tensor * b1 = dst->src[2]; // F32 fc_b
-    const struct ggml_tensor * c0 = dst->src[3]; // F16 proj_w
-    const struct ggml_tensor * c1 = dst->src[4]; // F32 proj_b
-
-    int64_t t0 = ggml_perf_time_us();
-    UNUSED(t0);
-
-    GGML_TENSOR_LOCALS(int64_t, nea,  a,   ne)
-    GGML_TENSOR_LOCALS(size_t,  nba,  a,   nb)
-    GGML_TENSOR_LOCALS(int64_t, neb0, b0,  ne)
-    GGML_TENSOR_LOCALS(size_t,  nbb0, b0,  nb)
-    GGML_TENSOR_LOCALS(int64_t, neb1, b1,  ne)
-    GGML_TENSOR_LOCALS(size_t,  nbb1, b1,  nb)
-    GGML_TENSOR_LOCALS(int64_t, nec0, c0,  ne)
-    GGML_TENSOR_LOCALS(size_t,  nbc0, c0,  nb)
-    GGML_TENSOR_LOCALS(int64_t, nec1, c1,  ne)
-    GGML_TENSOR_LOCALS(size_t,  nbc1, c1,  nb)
-    GGML_TENSOR_LOCALS(int64_t, ne,   dst, ne)
-    GGML_TENSOR_LOCALS(size_t,  nb,   dst, nb)
-
-    const int ith = params->ith;
-    const int nth = params->nth;
-
-    const int64_t D = nea0;
-    //const int64_t N = nea1;
-    const int64_t M = neb01;
-
-    GGML_ASSERT(ne0 == nea0);
-    GGML_ASSERT(ne1 == nea1);
-    GGML_ASSERT(ne2 == nea2);
-
-    GGML_ASSERT(nba0  == sizeof(ggml_fp16_t));
-    GGML_ASSERT(nbb00 == sizeof(ggml_fp16_t));
-    GGML_ASSERT(nbb10 == sizeof(float));
-    GGML_ASSERT(nbc00 == sizeof(ggml_fp16_t));
-    GGML_ASSERT(nbc10 == sizeof(float));
-
-    GGML_ASSERT(neb00 == D);
-    GGML_ASSERT(neb01 == M);
-    GGML_ASSERT(neb10 == M);
-    GGML_ASSERT(neb11 == 1);
-
-    GGML_ASSERT(nec00 == M);
-    GGML_ASSERT(nec01 == D);
-    GGML_ASSERT(nec10 == D);
-    GGML_ASSERT(nec11 == 1);
-
-    // dst cannot be transposed or permuted
-    GGML_ASSERT(nb0 == sizeof(float));
-    GGML_ASSERT(nb0 <= nb1);
-    GGML_ASSERT(nb1 <= nb2);
-    GGML_ASSERT(nb2 <= nb3);
-
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
-    // parallelize by a rows using ggml_vec_dot_f32
-
-    // total rows in a
-    const int nr = nea1*nea2*nea3;
-
-    // rows per thread
-    const int dr = (nr + nth - 1)/nth;
-
-    // row range for this thread
-    const int ir0 = dr*ith;
-    const int ir1 = MIN(ir0 + dr, nr);
-
-    for (int ir = ir0; ir < ir1; ++ir) {
-        // a indices
-        const int ia3 = ir/(nea2*nea1);
-        const int ia2 = (ir - ia3*nea2*nea1)/nea1;
-        const int ia1 = (ir - ia3*nea2*nea1 - ia2*nea1);
-
-        float * S = (float *) params->wdata + ith*(2*M + CACHE_LINE_SIZE_F32);
-
-        for (int64_t ic = 0; ic < neb01; ++ic) {
-            // b0 indices
-            const int ib03 = ia3;
-            const int ib02 = ia2;
-            const int ib01 = ic;
-
-            // S indices
-            const int i1 = ib01;
-
-            ggml_vec_dot_f16(nea0,
-                    S + i1, 0,
-                    (ggml_fp16_t *) ((char *) b0->data + (ib01*nbb01 + ib02*nbb02 + ib03*nbb03)), 0,
-                    (ggml_fp16_t *) ((char *)  a->data + ( ia1*nba1  +  ia2*nba2  +  ia3*nba3)), 0, 1);
-        }
-
-        ggml_vec_add_f32(neb01, S, S, (float *) b1->data);
-        //ggml_vec_gelu_f32(neb01, S, S);
-
-        ggml_fp16_t * S16 = (ggml_fp16_t *) ((float *) params->wdata + ith*(2*M + CACHE_LINE_SIZE_F32) + M);
-
-        for (int64_t i = 0; i < M; i++) {
-            S16[i] = GGML_FP32_TO_FP16(S[i]);
-        }
-
-        ggml_vec_gelu_f16(neb01, S16, S16);
-
-        {
-            // dst indices
-            const int i1 = ia1;
-            const int i2 = ia2;
-            const int i3 = ia3;
-
-            for (int64_t ic = 0; ic < nec01; ++ic) {
-
-                ggml_vec_dot_f16(neb01,
-                        (float *)       ((char *) dst->data + (ic*nb0 + i1*nb1   + i2*nb2   + i3*nb3)), 0,
-                        (ggml_fp16_t *) ((char *) c0->data  + (         ic*nbc01 + i2*nbc02 + i3*nbc03)), 0,
-                        S16, 0, 1);
-            }
-
-            ggml_vec_add_f32(nec01,
-                    (float *) ((char *) dst->data + (i1*nb1 + i2*nb2 + i3*nb3)),
-                    (float *) ((char *) dst->data + (i1*nb1 + i2*nb2 + i3*nb3)),
-                    (float *) c1->data);
-        }
-    }
-}
-
-static void ggml_compute_forward_flash_ff(
-        const struct ggml_compute_params * params,
-        struct ggml_tensor * dst) {
-
-    const struct ggml_tensor * b0 = dst->src[1];
-
-    switch (b0->type) {
-        case GGML_TYPE_F16:
-            {
-                ggml_compute_forward_flash_ff_f16(params, dst);
-            } break;
-        case GGML_TYPE_F32:
-            {
-                GGML_ASSERT(false); // TODO
-            } break;
-        default:
-            {
-                GGML_ASSERT(false);
-            } break;
-    }
-}
-
 // ggml_compute_forward_flash_attn_back
 
 static void ggml_compute_forward_flash_attn_back_f32(
@@ -16069,38 +15925,7 @@ static void ggml_compute_forward_flash_attn_back_f32(
                         vvexpf(SM, SM, &Mup);
                         ggml_vec_sum_f32(Mup, &sum, SM);
 #else
-                        uint16_t   scvt[GGML_SOFT_MAX_UNROLL]; UNUSED(scvt);
-                        ggml_float sump[GGML_SOFT_MAX_UNROLL] = { 0.0 };
-
-                        for (int i = 0; i < Mup; i += GGML_SOFT_MAX_UNROLL) {
-                            if (i >= masked_begin) {
-                                break;
-                            }
-                            float * SR =  S + i;
-                            float * SW = SM + i;
-
-                            for (int j = 0; j < GGML_SOFT_MAX_UNROLL; ++j) {
-                                if (i + j >= masked_begin) {
-                                    break;
-                                } else if (SR[j] == -INFINITY) {
-                                    SW[j] = 0.0f;
-                                } else {
-#ifndef GGML_FLASH_ATTN_EXP_FP16
-                                    const float val = expf(SR[j] - max);
-#else
-                                    ggml_fp16_t s = GGML_FP32_TO_FP16(SR[j] - max);
-                                    memcpy(&scvt[j], &s, sizeof(uint16_t));
-                                    const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt[j]]);
-#endif
-                                    sump[j] += (ggml_float)val;
-                                    SW[j] = val;
-                                }
-                            }
-                        }
-
-                        for (int i = 0; i < GGML_SOFT_MAX_UNROLL; i++) {
-                            sum += sump[i];
-                        }
+                        sum = ggml_vec_soft_max_f32(Mup, SM, S, max);
 #endif
                     }
 
@@ -17126,35 +16951,15 @@ static void ggml_compute_forward_cross_entropy_loss_f32(
             assert(!isnan(s1[i]));
         }
 #endif
+
         // soft_max
-        ggml_float sum = 0.0;
-        {
-            float max = -INFINITY;
-            ggml_vec_max_f32(nc, &max, s0);
-
-            uint16_t scvt; UNUSED(scvt);
-            for (int i = 0; i < nc; i++) {
-                if (s0[i] == -INFINITY) {
-                    st[i] = 0.0f;
-                } else {
-#ifndef GGML_CROSS_ENTROPY_EXP_FP16
-                    const float s = s0[i] - max;
-                    const float val = expf(s);
-#else
-                    ggml_fp16_t s = GGML_FP32_TO_FP16(s0[i] - max);
-                    memcpy(&scvt, &s, sizeof(scvt));
-                    const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt]);
-#endif
-                    sum += (ggml_float)val;
-                    st[i] = val;
-                }
-            }
-
-            assert(sum > 0.0);
-            // sum = 1.0/sum;
-        }
-        // avoid log(0) by rescaling from [0..1] to [eps..1]
+        float max = -INFINITY;
+        ggml_vec_max_f32(nc, &max, s0);
+        ggml_float sum = ggml_vec_soft_max_f32(nc, st, s0, max);
+        assert(sum > 0.0);
         sum = (1.0 - eps) / sum;
+
+        // avoid log(0) by rescaling from [0..1] to [eps..1]
         ggml_vec_scale_f32(nc, st, sum);
         ggml_vec_add1_f32(nc, st, st, eps);
         ggml_vec_log_f32(nc, st, st);
@@ -17244,32 +17049,11 @@ static void ggml_compute_forward_cross_entropy_loss_back_f32(
 #endif
 
         // soft_max
-        ggml_float sum = 0.0;
-        {
-            float max = -INFINITY;
-            ggml_vec_max_f32(nc, &max, s0);
-
-            uint16_t scvt; UNUSED(scvt);
-            for (int i = 0; i < nc; i++) {
-                if (s0[i] == -INFINITY) {
-                    ds0[i] = 0.0f;
-                } else {
-#ifndef GGML_CROSS_ENTROPY_EXP_FP16
-                    const float s = s0[i] - max;
-                    const float val = expf(s);
-#else
-                    ggml_fp16_t s = GGML_FP32_TO_FP16(s0[i] - max);
-                    memcpy(&scvt, &s, sizeof(scvt));
-                    const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt]);
-#endif
-                    sum += (ggml_float)val;
-                    ds0[i] = val;
-                }
-            }
-
-            assert(sum > 0.0);
-            sum = (1.0 - eps)/sum;
-        }
+        float max = -INFINITY;
+        ggml_vec_max_f32(nc, &max, s0);
+        ggml_float sum = ggml_vec_soft_max_f32(nc, ds0, s0, max);
+        assert(sum > 0.0);
+        sum = (1.0 - eps) / sum;
 
         // grad(src0) = (softmax(src0) - src1) * grad(cross_entropy_loss(src0, src1)) / nr
         ggml_vec_scale_f32(nc, ds0, sum);
@@ -17306,7 +17090,7 @@ static void ggml_compute_forward_cross_entropy_loss_back(
 
 /////////////////////////////////
 
-static void ggml_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor) {
+static void ggml_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor, struct ggml_compute_state * state) {
     GGML_ASSERT(params);
 
     if (tensor->op == GGML_OP_NONE || ggml_is_empty(tensor)) {
@@ -17404,7 +17188,7 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm
             } break;
         case GGML_OP_MUL_MAT:
             {
-                ggml_compute_forward_mul_mat(params, tensor);
+                ggml_compute_forward_mul_mat(params, tensor, state);
             } break;
         case GGML_OP_MUL_MAT_ID:
             {
@@ -17530,21 +17314,10 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm
             {
                 ggml_compute_forward_leaky_relu(params, tensor);
             } break;
-        case GGML_OP_FLASH_ATTN:
-            {
-                const int32_t t = ggml_get_op_params_i32(tensor, 0);
-                GGML_ASSERT(t == 0 || t == 1);
-                const bool masked = t != 0;
-                ggml_compute_forward_flash_attn(params, masked, tensor);
-            } break;
         case GGML_OP_FLASH_ATTN_EXT:
             {
                 ggml_compute_forward_flash_attn_ext(params, tensor->src[0], tensor->src[1], tensor->src[2], tensor->src[3], tensor);
             } break;
-        case GGML_OP_FLASH_FF:
-            {
-                ggml_compute_forward_flash_ff(params, tensor);
-            } break;
         case GGML_OP_FLASH_ATTN_BACK:
             {
                 int32_t t = ggml_get_op_params_i32(tensor, 0);
@@ -17914,6 +17687,7 @@ static struct ggml_tensor * ggml_sub_or_set(struct ggml_context * ctx, struct gg
 static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor * tensor, struct ggml_hash_set zero_table) {
     struct ggml_tensor * src0 = tensor->src[0];
     struct ggml_tensor * src1 = tensor->src[1];
+    struct ggml_tensor * src2 = tensor->src[2];
 
     switch (tensor->op) {
         case GGML_OP_DUP:
@@ -18427,9 +18201,9 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                     //const int n_past = ((int32_t *) tensor->op_params)[0];
                     const int n_dims     = ((int32_t *) tensor->op_params)[1];
                     const int mode       = ((int32_t *) tensor->op_params)[2];
-                    const int n_ctx      = ((int32_t *) tensor->op_params)[3];
-                    const int n_orig_ctx = ((int32_t *) tensor->op_params)[4];
-                    float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow, xpos_base, xpos_down;
+                    //const int n_ctx      = ((int32_t *) tensor->op_params)[3];
+                    const int n_ctx_orig = ((int32_t *) tensor->op_params)[4];
+                    float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
 
                     memcpy(&freq_base,   (int32_t *) tensor->op_params +  5, sizeof(float));
                     memcpy(&freq_scale,  (int32_t *) tensor->op_params +  6, sizeof(float));
@@ -18437,26 +18211,22 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                     memcpy(&attn_factor, (int32_t *) tensor->op_params +  8, sizeof(float));
                     memcpy(&beta_fast,   (int32_t *) tensor->op_params +  9, sizeof(float));
                     memcpy(&beta_slow,   (int32_t *) tensor->op_params + 10, sizeof(float));
-                    memcpy(&xpos_base,   (int32_t *) tensor->op_params + 11, sizeof(float));
-                    memcpy(&xpos_down,   (int32_t *) tensor->op_params + 12, sizeof(bool));
 
                     src0->grad = ggml_add_or_set(ctx,
                             src0->grad,
                             ggml_rope_back(ctx,
                                 tensor->grad,
                                 src1,
+                                src2,
                                 n_dims,
                                 mode,
-                                n_ctx,
-                                n_orig_ctx,
+                                n_ctx_orig,
                                 freq_base,
                                 freq_scale,
                                 ext_factor,
                                 attn_factor,
                                 beta_fast,
-                                beta_slow,
-                                xpos_base,
-                                xpos_down),
+                                beta_slow),
                             zero_table);
                 }
             } break;
@@ -18466,9 +18236,9 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                     //const int n_past = ((int32_t *) tensor->op_params)[0];
                     const int n_dims     = ((int32_t *) tensor->op_params)[1];
                     const int mode       = ((int32_t *) tensor->op_params)[2];
-                    const int n_ctx      = ((int32_t *) tensor->op_params)[3];
-                    const int n_orig_ctx = ((int32_t *) tensor->op_params)[4];
-                    float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow, xpos_base, xpos_down;
+                    //const int n_ctx      = ((int32_t *) tensor->op_params)[3];
+                    const int n_ctx_orig = ((int32_t *) tensor->op_params)[4];
+                    float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
 
                     memcpy(&freq_base,   (int32_t *) tensor->op_params +  5, sizeof(float));
                     memcpy(&freq_scale,  (int32_t *) tensor->op_params +  6, sizeof(float));
@@ -18476,26 +18246,22 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                     memcpy(&attn_factor, (int32_t *) tensor->op_params +  8, sizeof(float));
                     memcpy(&beta_fast,   (int32_t *) tensor->op_params +  9, sizeof(float));
                     memcpy(&beta_slow,   (int32_t *) tensor->op_params + 10, sizeof(float));
-                    memcpy(&xpos_base,   (int32_t *) tensor->op_params + 11, sizeof(float));
-                    memcpy(&xpos_down,   (int32_t *) tensor->op_params + 12, sizeof(bool));
 
                     src0->grad = ggml_add_or_set(ctx,
                             src0->grad,
                             ggml_rope_impl(ctx,
                                 tensor->grad,
                                 src1,
+                                src2,
                                 n_dims,
                                 mode,
-                                n_ctx,
-                                n_orig_ctx,
+                                n_ctx_orig,
                                 freq_base,
                                 freq_scale,
                                 ext_factor,
                                 attn_factor,
                                 beta_fast,
                                 beta_slow,
-                                xpos_base,
-                                xpos_down,
                                 false),
                             zero_table);
                 }
@@ -18548,7 +18314,6 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
             {
                 GGML_ASSERT(false); // TODO: not implemented
             } break;
-        case GGML_OP_FLASH_ATTN:
         case GGML_OP_FLASH_ATTN_EXT:
             {
                 struct ggml_tensor * flash_grad = NULL;
@@ -18565,7 +18330,6 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                             masked);
                 }
 
-                struct ggml_tensor * src2 = tensor->src[2];
                 const int64_t elem_q = ggml_nelements(src0);
                 const int64_t elem_k = ggml_nelements(src1);
                 const int64_t elem_v = ggml_nelements(src2);
@@ -18603,10 +18367,6 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                             zero_table);
                 }
             } break;
-        case GGML_OP_FLASH_FF:
-            {
-                GGML_ASSERT(false); // not supported
-            } break;
         case GGML_OP_FLASH_ATTN_BACK:
             {
                 GGML_ASSERT(false); // not supported
@@ -19020,8 +18780,6 @@ typedef int ggml_lock_t;
 
 #define GGML_LOCK_INITIALIZER 0
 
-typedef pthread_t ggml_thread_t;
-
 #define ggml_thread_create pthread_create
 #define ggml_thread_join   pthread_join
 
@@ -19047,8 +18805,6 @@ typedef int ggml_lock_t;
 
 #define GGML_LOCK_INITIALIZER 0
 
-typedef pthread_t ggml_thread_t;
-
 #define ggml_thread_create pthread_create
 #define ggml_thread_join   pthread_join
 
@@ -19128,31 +18884,6 @@ static void set_numa_thread_affinity(int thread_n) { UNUSED(thread_n);  }
 static void clear_numa_thread_affinity(void) {}
 #endif
 
-struct ggml_compute_state_shared {
-    const struct ggml_cgraph * cgraph;
-    const struct ggml_cplan  * cplan;
-
-    int64_t perf_node_start_cycles;
-    int64_t perf_node_start_time_us;
-
-    const int n_threads;
-
-    // synchronization primitives
-    atomic_int n_active;  // num active threads
-    atomic_int node_n;    // active graph node
-    atomic_int node_task; // active graph node task phase
-
-    ggml_abort_callback abort_callback; // abort ggml_graph_compute when true
-    void * abort_callback_data;
-};
-
-struct ggml_compute_state {
-    ggml_thread_t thrd;
-    int ith;
-    struct ggml_compute_state_shared * shared;
-    enum ggml_status ec;
-};
-
 static void ggml_graph_compute_perf_stats_node(struct ggml_tensor * node, const struct ggml_compute_state_shared * st) {
     int64_t cycles_cur  = ggml_perf_cycles()  - st->perf_node_start_cycles;
     int64_t time_us_cur = ggml_perf_time_us() - st->perf_node_start_time_us;
@@ -19322,15 +19053,10 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads, int n_cur_
             {
                 n_tasks = n_threads;
             } break;
-        case GGML_OP_FLASH_ATTN:
         case GGML_OP_FLASH_ATTN_EXT:
             {
                 n_tasks = n_threads;
             } break;
-        case GGML_OP_FLASH_FF:
-            {
-                n_tasks = n_threads;
-            } break;
         case GGML_OP_FLASH_ATTN_BACK:
             {
                 n_tasks = n_threads;
@@ -19425,6 +19151,10 @@ static void ggml_graph_compute_thread_sync_node(int * node_n, struct ggml_comput
 
         * node_n = atomic_load(&state->shared->node_n);
         if (* node_n != last_node_n) break;
+#if defined(__SSE3__)
+        // Tell the processor we're spinning.  It's a processor hint for spinlocks.
+        _mm_pause();
+#endif
     }
 }
 
@@ -19439,6 +19169,10 @@ static void ggml_graph_compute_thread_sync_task(int * task_phase, struct ggml_co
 
         * task_phase = atomic_load(&state->shared->node_task);
         if (* task_phase != last_task_phase) break;
+#if defined(__SSE3__)
+        // Tell the processor we're spinning.  It's a processor hint for spinlocks.
+        _mm_pause();
+#endif
     }
 }
 
@@ -19478,7 +19212,7 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
                 struct ggml_tensor * node = cgraph->nodes[node_n];
                 if (GGML_OP_HAS_FINALIZE[node->op]) {
                     params.nth = ggml_get_n_tasks(node, n_threads, state->shared->n_threads);
-                    ggml_compute_forward(&params, node);
+                    ggml_compute_forward(&params, node, state);
                 }
                 ggml_graph_compute_perf_stats_node(node, state->shared);
             }
@@ -19498,17 +19232,17 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
                     /* INIT */
                     if (GGML_OP_HAS_INIT[node->op]) {
                         params.type = GGML_TASK_TYPE_INIT;
-                        ggml_compute_forward(&params, node);
+                        ggml_compute_forward(&params, node, state);
                     }
 
                     // TODO: maybe push node_n to the atomic but if other threads see n_tasks is 1,
                     // they do something more efficient than spinning (?)
                     params.type = GGML_TASK_TYPE_COMPUTE;
-                    ggml_compute_forward(&params, node);
+                    ggml_compute_forward(&params, node, state);
 
                     if (GGML_OP_HAS_FINALIZE[node->op]) {
                         params.type = GGML_TASK_TYPE_FINALIZE;
-                        ggml_compute_forward(&params, node);
+                        ggml_compute_forward(&params, node, state);
                     }
 
                     ggml_graph_compute_perf_stats_node(node, state->shared);
@@ -19547,7 +19281,7 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
 
         if (state->ith < n_tasks) {
             if (GGML_OP_HAS_INIT[node->op]) {
-                ggml_compute_forward(&params, node);
+                ggml_compute_forward(&params, node, state);
             }
         }
 
@@ -19568,7 +19302,7 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
 
         if (state->ith < n_tasks) {
             params.type = GGML_TASK_TYPE_COMPUTE;
-            ggml_compute_forward(&params, node);
+            ggml_compute_forward(&params, node, state);
         }
 
         if (atomic_fetch_sub(&state->shared->n_active, 1) == 1) {
@@ -19634,11 +19368,6 @@ struct ggml_cplan ggml_graph_plan(const struct ggml_cgraph * cgraph, int n_threa
                 {
                     const enum ggml_type vec_dot_type = type_traits[node->src[0]->type].vec_dot_type;
 
-#if defined(GGML_USE_CLBLAST)
-                    if (ggml_cl_can_mul_mat(node->src[0], node->src[1], node)) {
-                        cur = ggml_cl_mul_mat_get_wsize(node->src[0], node->src[1], node);
-                    } else
-#endif
 #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
                     if (ggml_compute_forward_mul_mat_use_blas(node)) {
                         if (node->src[0]->type != GGML_TYPE_F32) {
@@ -19719,39 +19448,11 @@ struct ggml_cplan ggml_graph_plan(const struct ggml_cgraph * cgraph, int n_threa
                     cur += sizeof(ggml_fp16_t)*ne00*ne01*ne02*ne03;
                     cur += sizeof(ggml_fp16_t)*ne10*ne11*ne12;
                 } break;
-            case GGML_OP_FLASH_ATTN:
-                {
-                    const int64_t ne11 = ggml_up(node->src[1]->ne[1], GGML_SOFT_MAX_UNROLL);
-
-                    if (node->src[1]->type == GGML_TYPE_F32) {
-                        cur  = sizeof(float)*ne11*n_tasks; // TODO: this can become (n_tasks-1)
-                        cur += sizeof(float)*ne11*n_tasks; // this is overestimated by x2
-                    } else if (node->src[1]->type == GGML_TYPE_F16) {
-                        cur  = sizeof(float)*ne11*n_tasks; // TODO: this can become (n_tasks-1)
-                        cur += sizeof(float)*ne11*n_tasks; // this is overestimated by x2
-                    } else if (node->src[1]->type == GGML_TYPE_BF16) {
-                        cur  = sizeof(float)*ne11*n_tasks; // TODO: this can become (n_tasks-1)
-                        cur += sizeof(float)*ne11*n_tasks; // this is overestimated by x2
-                    }
-                } break;
             case GGML_OP_FLASH_ATTN_EXT:
                 {
                     const int64_t ne00 = node->src[0]->ne[0]; // D
 
-                    cur = 2*sizeof(float)*ne00*n_tasks; // 2x head size
-                } break;
-            case GGML_OP_FLASH_FF:
-                {
-                    if (node->src[1]->type == GGML_TYPE_F32) {
-                        cur  = sizeof(float)*node->src[1]->ne[1]*n_tasks; // TODO: this can become (n_tasks-1)
-                        cur += sizeof(float)*node->src[1]->ne[1]*n_tasks; // this is overestimated by x2
-                    } else if (node->src[1]->type == GGML_TYPE_F16) {
-                        cur  = sizeof(float)*node->src[1]->ne[1]*n_tasks; // TODO: this can become (n_tasks-1)
-                        cur += sizeof(float)*node->src[1]->ne[1]*n_tasks; // this is overestimated by x2
-                    } else if (node->src[1]->type == GGML_TYPE_BF16) {
-                        cur  = sizeof(float)*node->src[1]->ne[1]*n_tasks; // TODO: this can become (n_tasks-1)
-                        cur += sizeof(float)*node->src[1]->ne[1]*n_tasks; // this is overestimated by x2
-                    }
+                    cur = 3*sizeof(float)*ne00*n_tasks; // 3x head size/thread
                 } break;
             case GGML_OP_FLASH_ATTN_BACK:
                 {
@@ -19796,6 +19497,59 @@ struct ggml_cplan ggml_graph_plan(const struct ggml_cgraph * cgraph, int n_threa
     return cplan;
 }
 
+static enum ggml_status ggml_graph_compute_parallel(struct ggml_compute_state * workers, int n_threads) {
+    enum ggml_status compute_status = GGML_STATUS_SUCCESS;
+
+#ifdef GGML_USE_OPENMP
+    if (n_threads > 1) {
+        #pragma omp parallel num_threads(n_threads)
+        {
+            #pragma omp single
+            {
+                // update the number of threads from the actual number of threads that we got from OpenMP
+                n_threads = omp_get_num_threads();
+                workers[0].shared->n_threads = n_threads;
+                workers[0].shared->n_active  = n_threads;
+            }
+            ggml_graph_compute_thread(&workers[omp_get_thread_num()]);
+        }
+    } else {
+        ggml_graph_compute_thread(&workers[0]);
+    }
+#else
+    // create thread pool
+    if (n_threads > 1) {
+        for (int j = 1; j < n_threads; ++j) {
+            const int rc = ggml_thread_create(&workers[j].thrd, NULL, ggml_graph_compute_thread, &workers[j]);
+            GGML_ASSERT(rc == 0);
+            UNUSED(rc);
+        }
+    }
+
+    // this is a work thread too
+    ggml_graph_compute_thread(&workers[0]);
+
+    // join or kill thread pool
+    if (n_threads > 1) {
+        for (int j = 1; j < n_threads; j++) {
+            const int rc = ggml_thread_join(workers[j].thrd, NULL);
+            GGML_ASSERT(rc == 0);
+            UNUSED(rc);
+        }
+    }
+#endif
+    // don't leave affinity set on the main thread
+    clear_numa_thread_affinity();
+
+    for (int j = 0; j < n_threads; j++) {
+        if (workers[j].ec != GGML_STATUS_SUCCESS) {
+            compute_status = workers[j].ec;
+            break;
+        }
+    }
+    return compute_status;
+}
+
 enum ggml_status ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cplan * cplan) {
     {
         GGML_ASSERT(cplan);
@@ -19806,7 +19560,11 @@ enum ggml_status ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cpl
         }
     }
 
-    const int n_threads = cplan->n_threads;
+    int n_threads = cplan->n_threads;
+
+#if defined(GGML_USE_OPENMP)
+    n_threads = MIN(n_threads, omp_get_max_threads());
+#endif
 
     struct ggml_compute_state_shared state_shared = {
         /*.cgraph                  =*/ cgraph,
@@ -19819,49 +19577,23 @@ enum ggml_status ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cpl
         /*.node_task               =*/ GGML_TASK_TYPE_FINALIZE,
         /*.abort_callback          =*/ NULL,
         /*.abort_callback_data     =*/ NULL,
+        /*.current_chunk;          =*/ 0,
     };
     struct ggml_compute_state * workers = alloca(sizeof(struct ggml_compute_state)*n_threads);
-
-    // create thread pool
-    if (n_threads > 1) {
-        for (int j = 1; j < n_threads; ++j) {
-            workers[j] = (struct ggml_compute_state) {
-                .thrd   = 0,
-                .ith = j,
-                .shared = &state_shared,
-                .ec = GGML_STATUS_SUCCESS,
-            };
-
-            const int rc = ggml_thread_create(&workers[j].thrd, NULL, ggml_graph_compute_thread, &workers[j]);
-            GGML_ASSERT(rc == 0);
-            UNUSED(rc);
-        }
-    }
-
-    workers[0].ith = 0;
-    workers[0].shared = &state_shared;
-    workers[0].ec = GGML_STATUS_SUCCESS;
-
     const int64_t perf_start_cycles  = ggml_perf_cycles();
     const int64_t perf_start_time_us = ggml_perf_time_us();
 
-    // this is a work thread too
-    ggml_graph_compute_thread(&workers[0]);
-    enum ggml_status compute_status = workers[0].ec;
-
-    // don't leave affinity set on the main thread
-    clear_numa_thread_affinity();
-
-    // join or kill thread pool
-    if (n_threads > 1) {
-        for (int j = 1; j < n_threads; j++) {
-            const int rc = ggml_thread_join(workers[j].thrd, NULL);
-            GGML_ASSERT(rc == 0);
-            if (workers[j].ec != GGML_STATUS_SUCCESS)
-                compute_status = workers[j].ec;
-        }
+    for (int j = 0; j < n_threads; ++j) {
+        workers[j] = (struct ggml_compute_state) {
+            .thrd   = 0,
+            .ith    = j,
+            .shared = &state_shared,
+            .ec     = GGML_STATUS_SUCCESS,
+        };
     }
 
+    enum ggml_status compute_status = ggml_graph_compute_parallel(workers, n_threads);
+
     // performance stats (graph)
     {
         int64_t perf_cycles_cur  = ggml_perf_cycles()  - perf_start_cycles;
@@ -21592,11 +21324,7 @@ size_t ggml_quantize_chunk(
         case GGML_TYPE_IQ1_S:   result = quantize_iq1_s  (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_IQ1_M:   result = quantize_iq1_m  (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_IQ4_NL:  result = quantize_iq4_nl (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-#if QK_K == 64
-        case GGML_TYPE_IQ4_XS:  result = quantize_iq4_nl (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-#else
         case GGML_TYPE_IQ4_XS:  result = quantize_iq4_xs (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-#endif
         case GGML_TYPE_F16:
             {
                 size_t elemsize = sizeof(ggml_fp16_t);
@@ -22873,6 +22601,14 @@ int ggml_cpu_has_avx512_vnni(void) {
 #endif
 }
 
+int ggml_cpu_has_avx512_bf16(void) {
+#if defined(__AVX512BF16__)
+    return 1;
+#else
+    return 0;
+#endif
+}
+
 int ggml_cpu_has_fma(void) {
 #if defined(__FMA__)
     return 1;
@@ -22889,6 +22625,16 @@ int ggml_cpu_has_neon(void) {
 #endif
 }
 
+int ggml_cpu_has_sve(void) {
+#if defined(__ARM_FEATURE_SVE)
+    // TODO: Currently, SVE 256 bit is only supported.
+    GGML_ASSERT(svcntb() == QK8_0);
+    return 1;
+#else
+    return 0;
+#endif
+}
+
 int ggml_cpu_has_arm_fma(void) {
 #if defined(__ARM_FEATURE_FMA)
     return 1;
@@ -22930,7 +22676,7 @@ int ggml_cpu_has_wasm_simd(void) {
 }
 
 int ggml_cpu_has_blas(void) {
-#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) || defined(GGML_USE_CUDA) || defined(GGML_USE_VULKAN) || defined(GGML_USE_CLBLAST) || defined(GGML_USE_SYCL)
+#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) || defined(GGML_USE_CUDA) || defined(GGML_USE_VULKAN) || defined(GGML_USE_SYCL)
     return 1;
 #else
     return 0;
@@ -22945,14 +22691,6 @@ int ggml_cpu_has_cuda(void) {
 #endif
 }
 
-int ggml_cpu_has_clblast(void) {
-#if defined(GGML_USE_CLBLAST)
-    return 1;
-#else
-    return 0;
-#endif
-}
-
 int ggml_cpu_has_vulkan(void) {
 #if defined(GGML_USE_VULKAN)
     return 1;
@@ -22977,9 +22715,16 @@ int ggml_cpu_has_sycl(void) {
 #endif
 }
 
+int ggml_cpu_has_rpc(void) {
+#if defined(GGML_USE_RPC)
+    return 1;
+#else
+    return 0;
+#endif
+}
+
 int ggml_cpu_has_gpublas(void) {
-    return ggml_cpu_has_cuda() || ggml_cpu_has_clblast() || ggml_cpu_has_vulkan() || ggml_cpu_has_kompute() ||
-           ggml_cpu_has_sycl();
+    return ggml_cpu_has_cuda() || ggml_cpu_has_vulkan() || ggml_cpu_has_kompute() || ggml_cpu_has_sycl();
 }
 
 int ggml_cpu_has_sse3(void) {
diff --git a/ggml.h b/ggml.h
index 3fe95ed57..13502a362 100644
--- a/ggml.h
+++ b/ggml.h
@@ -481,9 +481,7 @@ extern "C" {
         GGML_OP_ARGSORT,
         GGML_OP_LEAKY_RELU,
 
-        GGML_OP_FLASH_ATTN,
         GGML_OP_FLASH_ATTN_EXT,
-        GGML_OP_FLASH_FF,
         GGML_OP_FLASH_ATTN_BACK,
         GGML_OP_SSM_CONV,
         GGML_OP_SSM_SCAN,
@@ -565,7 +563,8 @@ extern "C" {
     // n-dimensional tensor
     struct ggml_tensor {
         enum ggml_type         type;
-        enum ggml_backend_type backend;
+
+        GGML_DEPRECATED(enum ggml_backend_type backend, "use the buffer type to find the storage location of the tensor");
 
         struct ggml_backend_buffer * buffer;
 
@@ -757,7 +756,6 @@ extern "C" {
     GGML_API enum ggml_type ggml_ftype_to_ggml_type(enum ggml_ftype ftype);
 
     GGML_API GGML_CALL bool ggml_is_transposed(const struct ggml_tensor * tensor);
-    GGML_API GGML_CALL bool ggml_is_contiguous(const struct ggml_tensor * tensor);
     GGML_API GGML_CALL bool ggml_is_permuted  (const struct ggml_tensor * tensor);
     GGML_API GGML_CALL bool ggml_is_empty     (const struct ggml_tensor * tensor);
     GGML_API           bool ggml_is_scalar    (const struct ggml_tensor * tensor);
@@ -766,7 +764,13 @@ extern "C" {
     GGML_API           bool ggml_is_3d        (const struct ggml_tensor * tensor);
     GGML_API           int  ggml_n_dims       (const struct ggml_tensor * tensor); // returns 1 for scalars
 
-    GGML_API bool ggml_are_same_shape(const struct ggml_tensor * t0, const struct ggml_tensor * t1);
+    GGML_API GGML_CALL bool ggml_is_contiguous  (const struct ggml_tensor * tensor);
+    GGML_API GGML_CALL bool ggml_is_contiguous_0(const struct ggml_tensor * tensor); // same as ggml_is_contiguous()
+    GGML_API GGML_CALL bool ggml_is_contiguous_1(const struct ggml_tensor * tensor); // contiguous for dims >= 1
+    GGML_API GGML_CALL bool ggml_is_contiguous_2(const struct ggml_tensor * tensor); // contiguous for dims >= 2
+
+    GGML_API bool ggml_are_same_shape (const struct ggml_tensor * t0, const struct ggml_tensor * t1);
+    GGML_API bool ggml_are_same_stride(const struct ggml_tensor * t0, const struct ggml_tensor * t1);
 
     // use this to compute the memory overhead of a tensor
     GGML_API size_t ggml_tensor_overhead(void);
@@ -1007,12 +1011,13 @@ extern "C" {
             struct ggml_tensor  * a,
             struct ggml_tensor  * b);
 
-    // concat a and b on dim 2
+    // concat a and b along dim
     // used in stable-diffusion
     GGML_API struct ggml_tensor * ggml_concat(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
-            struct ggml_tensor  * b);
+            struct ggml_tensor  * b,
+            int                   dim);
 
     GGML_API struct ggml_tensor * ggml_abs(
             struct ggml_context * ctx,
@@ -1458,18 +1463,17 @@ extern "C" {
             struct ggml_tensor  * b);
 
     // rotary position embedding
-    // if mode & 1 == 1, skip n_past elements (DEPRECATED)
+    // if mode & 1 == 1, skip n_past elements (NOT SUPPORTED)
     // if mode & 2 == 1, GPT-NeoX style
-    // if mode & 4 == 1, ChatGLM style
     //
     // b is an int32 vector with size a->ne[2], it contains the positions
+    // c is freq factors (e.g. phi3-128k), (optional)
     GGML_API struct ggml_tensor * ggml_rope(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
             struct ggml_tensor  * b,
             int                   n_dims,
-            int                   mode,
-            int                   n_ctx);
+            int                   mode);
 
     // in-place, returns view(a)
     GGML_API struct ggml_tensor * ggml_rope_inplace(
@@ -1477,18 +1481,17 @@ extern "C" {
             struct ggml_tensor  * a,
             struct ggml_tensor  * b,
             int                   n_dims,
-            int                   mode,
-            int                   n_ctx);
+            int                   mode);
 
     // custom RoPE
-    GGML_API struct ggml_tensor * ggml_rope_custom(
+    GGML_API struct ggml_tensor * ggml_rope_ext(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
             struct ggml_tensor  * b,
+            struct ggml_tensor  * c,
             int                   n_dims,
             int                   mode,
-            int                   n_ctx,
-            int                   n_orig_ctx,
+            int                   n_ctx_orig,
             float                 freq_base,
             float                 freq_scale,
             float                 ext_factor,
@@ -1497,14 +1500,14 @@ extern "C" {
             float                 beta_slow);
 
     // in-place, returns view(a)
-    GGML_API struct ggml_tensor * ggml_rope_custom_inplace(
+    GGML_API struct ggml_tensor * ggml_rope_ext_inplace(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
             struct ggml_tensor  * b,
+            struct ggml_tensor  * c,
             int                   n_dims,
             int                   mode,
-            int                   n_ctx,
-            int                   n_orig_ctx,
+            int                   n_ctx_orig,
             float                 freq_base,
             float                 freq_scale,
             float                 ext_factor,
@@ -1512,18 +1515,39 @@ extern "C" {
             float                 beta_fast,
             float                 beta_slow);
 
-    // compute correction dims for YaRN RoPE scaling
-    GGML_CALL void ggml_rope_yarn_corr_dims(
-        int n_dims, int n_orig_ctx, float freq_base, float beta_fast, float beta_slow, float dims[2]);
-
-    // xPos RoPE, in-place, returns view(a)
-    GGML_API struct ggml_tensor * ggml_rope_xpos_inplace(
+    GGML_DEPRECATED(GGML_API struct ggml_tensor * ggml_rope_custom(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
             struct ggml_tensor  * b,
             int                   n_dims,
-            float                 base,
-            bool                  down);
+            int                   mode,
+            int                   n_ctx_orig,
+            float                 freq_base,
+            float                 freq_scale,
+            float                 ext_factor,
+            float                 attn_factor,
+            float                 beta_fast,
+            float                 beta_slow),
+        "use ggml_rope_ext instead");
+
+    GGML_DEPRECATED(GGML_API struct ggml_tensor * ggml_rope_custom_inplace(
+            struct ggml_context * ctx,
+            struct ggml_tensor  * a,
+            struct ggml_tensor  * b,
+            int                   n_dims,
+            int                   mode,
+            int                   n_ctx_orig,
+            float                 freq_base,
+            float                 freq_scale,
+            float                 ext_factor,
+            float                 attn_factor,
+            float                 beta_fast,
+            float                 beta_slow),
+        "use ggml_rope_ext_inplace instead");
+
+    // compute correction dims for YaRN RoPE scaling
+    GGML_CALL void ggml_rope_yarn_corr_dims(
+        int n_dims, int n_ctx_orig, float freq_base, float beta_fast, float beta_slow, float dims[2]);
 
     // rotary position embedding backward, i.e compute dx from dy
     // a - dy
@@ -1531,18 +1555,16 @@ extern "C" {
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
             struct ggml_tensor  * b,
+            struct ggml_tensor  * c,
             int                   n_dims,
             int                   mode,
-            int                   n_ctx,
-            int                   n_orig_ctx,
+            int                   n_ctx_orig,
             float                 freq_base,
             float                 freq_scale,
             float                 ext_factor,
             float                 attn_factor,
             float                 beta_fast,
-            float                 beta_slow,
-            float                 xpos_base,
-            bool                  xpos_down);
+            float                 beta_slow);
 
     // clamp
     // in-place, returns view(a)
@@ -1673,12 +1695,24 @@ extern "C" {
             float                 p1);
 
     // nearest interpolate
+    // multiplies ne0 and ne1 by scale factor
     // used in stable-diffusion
     GGML_API struct ggml_tensor * ggml_upscale(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
             int                   scale_factor);
 
+    // nearest interpolate
+    // nearest interpolate to specified dimensions
+    // used in tortoise.cpp
+    GGML_API struct ggml_tensor * ggml_upscale_ext(
+            struct ggml_context * ctx,
+            struct ggml_tensor  * a,
+            int                   ne0,
+            int                   ne1,
+            int                   ne2,
+            int                   ne3);
+
     // pad each dimension with zeros: [x, ..., x] -> [x, ..., x, 0, ..., 0]
     GGML_API struct ggml_tensor * ggml_pad(
             struct ggml_context * ctx,
@@ -1720,13 +1754,6 @@ extern "C" {
             struct ggml_tensor  * a,
             int                   k);
 
-    GGML_API struct ggml_tensor * ggml_flash_attn(
-            struct ggml_context * ctx,
-            struct ggml_tensor  * q,
-            struct ggml_tensor  * k,
-            struct ggml_tensor  * v,
-            bool                  masked);
-
 #define GGML_KQ_MASK_PAD 32
 
     // q:    [n_embd, n_batch,     n_head,    1]
@@ -1747,6 +1774,7 @@ extern "C" {
             struct ggml_tensor * a,
             enum ggml_prec       prec);
 
+    // TODO: needs to be adapted to ggml_flash_attn_ext
     GGML_API struct ggml_tensor * ggml_flash_attn_back(
            struct ggml_context * ctx,
            struct ggml_tensor  * q,
@@ -1755,14 +1783,6 @@ extern "C" {
            struct ggml_tensor  * d,
            bool                  masked);
 
-    GGML_API struct ggml_tensor * ggml_flash_ff(
-            struct ggml_context * ctx,
-            struct ggml_tensor  * a,
-            struct ggml_tensor  * b0,
-            struct ggml_tensor  * b1,
-            struct ggml_tensor  * c0,
-            struct ggml_tensor  * c1);
-
     GGML_API struct ggml_tensor * ggml_ssm_conv(
             struct ggml_context * ctx,
             struct ggml_tensor  * s,
@@ -2376,8 +2396,10 @@ extern "C" {
     GGML_API int ggml_cpu_has_avx512     (void);
     GGML_API int ggml_cpu_has_avx512_vbmi(void);
     GGML_API int ggml_cpu_has_avx512_vnni(void);
+    GGML_API int ggml_cpu_has_avx512_bf16(void);
     GGML_API int ggml_cpu_has_fma        (void);
     GGML_API int ggml_cpu_has_neon       (void);
+    GGML_API int ggml_cpu_has_sve        (void);
     GGML_API int ggml_cpu_has_arm_fma    (void);
     GGML_API int ggml_cpu_has_metal      (void);
     GGML_API int ggml_cpu_has_f16c       (void);
@@ -2385,13 +2407,13 @@ extern "C" {
     GGML_API int ggml_cpu_has_wasm_simd  (void);
     GGML_API int ggml_cpu_has_blas       (void);
     GGML_API int ggml_cpu_has_cuda       (void);
-    GGML_API int ggml_cpu_has_clblast    (void);
     GGML_API int ggml_cpu_has_vulkan     (void);
     GGML_API int ggml_cpu_has_kompute    (void);
     GGML_API int ggml_cpu_has_gpublas    (void);
     GGML_API int ggml_cpu_has_sse3       (void);
     GGML_API int ggml_cpu_has_ssse3      (void);
     GGML_API int ggml_cpu_has_sycl       (void);
+    GGML_API int ggml_cpu_has_rpc        (void);
     GGML_API int ggml_cpu_has_vsx        (void);
     GGML_API int ggml_cpu_has_matmul_int8(void);
 
diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py
index 162cf5c6e..a905f570c 100644
--- a/ggml_vk_generate_shaders.py
+++ b/ggml_vk_generate_shaders.py
@@ -225,10 +225,7 @@ mulmat_head = """#version 450
 #extension GL_EXT_shader_16bit_storage : require
 
 #ifdef MUL_MAT_ID
-#extension GL_EXT_buffer_reference2 : require
-#extension GL_EXT_nonuniform_qualifier : require
-#extension GL_EXT_scalar_block_layout : require
-#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require
+#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require
 
 #define EXPERT_COUNT 8
 #endif
@@ -260,30 +257,22 @@ layout (push_constant) uniform parameter
     uint stride_a;
     uint stride_b;
     uint stride_d;
-    uint k_split;
-
-    uint ne02;
-    uint ne12;
-    uint broadcast2;
-    uint broadcast3;
 
     uint batch_stride_a;
     uint batch_stride_b;
     uint batch_stride_d;
 
 #ifdef MUL_MAT_ID
-    uint expert_stride_a;
-    uint expert_stride_b0;
-    uint expert_stride_b1;
-    uint expert_stride_d;
-
-    uint ids_stride;
-
-    uint n_as;
     uint nei0;
     uint nei1;
     uint nbi1;
     uint ne11;
+#else
+    uint k_split;
+    uint ne02;
+    uint ne12;
+    uint broadcast2;
+    uint broadcast3;
 #endif
 } p;
 
@@ -301,16 +290,14 @@ shared FLOAT_TYPE buf_a[BM * (BK+1)];
 shared FLOAT_TYPE buf_b[BN * (BK+1)];
 
 #ifdef MUL_MAT_ID
-shared u8vec2 rowids[2048];
+shared u16vec2 row_ids[2048];
 #endif
 
 void main() {
 #ifdef MUL_MAT_ID
-    const uint batch_idx = gl_GlobalInvocationID.z / p.n_as;
-    const uint expert_idx = gl_GlobalInvocationID.z % p.n_as;
+    const uint expert_idx = gl_GlobalInvocationID.z;
 #else
     const uint batch_idx = gl_GlobalInvocationID.z;
-#endif
 
     const uint i13 = batch_idx / p.ne12;
     const uint i12 = batch_idx % p.ne12;
@@ -319,6 +306,7 @@ void main() {
     const uint i02 = i12 / p.broadcast2;
 
     const uint batch_idx_a = i03 * p.ne02 + i02;
+#endif
 
     const uint blocks_m = (p.M + BM - 1) / BM;
     const uint ir = gl_WorkGroupID.x % blocks_m;
@@ -350,30 +338,38 @@ void main() {
     for (uint ii1 = 0; ii1 < p.nei1; ii1++) {
         for (uint ii0 = 0; ii0 < p.nei0; ii0++) {
             if (data_ids[ii1*p.nbi1 + ii0] == expert_idx) {
-                rowids[_ne1] = u8vec2(ii0, ii1);
+                row_ids[_ne1] = u16vec2(ii0, ii1);
                 _ne1++;
             }
         }
     }
 
-    const u8vec2 id = rowids[ir * BN + ic];
+    barrier();
+
+    // Workgroup has no work
+    if (ic * BN >= _ne1) return;
 #endif
 
+#ifdef MUL_MAT_ID
+    const uint start_k = 0;
+    const uint end_k = p.K;
+#else
     const uint start_k = ik * p.k_split;
     const uint end_k = min(p.K, (ik + 1) * p.k_split);
+#endif
 
     uint pos_a = (
 #ifdef MUL_MAT_ID
-        expert_idx * p.expert_stride_a +
+        expert_idx * p.batch_stride_a +
+#else
+        batch_idx_a * p.batch_stride_a +
 #endif
-        batch_idx_a * p.batch_stride_a + ir * BM * p.stride_a + start_k) / LOAD_VEC_A;
-    uint pos_b = (
+        ir * BM * p.stride_a + start_k) / LOAD_VEC_A;
 #ifdef MUL_MAT_ID
-        id.y * p.expert_stride_b1 +
-        (id.x % p.ne11) * p.expert_stride_b0 +
+    uint pos_b = 0;
+#else
+    uint pos_b = (batch_idx * p.batch_stride_b + ic * BN * p.stride_b + start_k) / LOAD_VEC_B;
 #endif
-        batch_idx * p.batch_stride_b +
-        ic * BN * p.stride_b + start_k) / LOAD_VEC_B;
 
     float sums[WMITER * TM * WNITER * TN];
     FLOAT_TYPE cache_a[WMITER * TM];
@@ -620,7 +616,12 @@ mulmat_body2 = """
         }
         [[unroll]] for (uint l = 0; l < BN; l += loadstride_b) {
 #if LOAD_VEC_B == 8
+#ifdef MUL_MAT_ID
+            const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l];
+            const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b;
+#else
             const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b;
+#endif
             const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B;
             buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx][0].x);
             buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx][0].y);
@@ -631,18 +632,31 @@ mulmat_body2 = """
             buf_b[buf_idx + 6] = FLOAT_TYPE(data_b[idx][1].z);
             buf_b[buf_idx + 7] = FLOAT_TYPE(data_b[idx][1].w);
 #elif LOAD_VEC_B == 4
+#ifdef MUL_MAT_ID
+            const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l];
+            const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b;
+#else
             const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b;
+#endif
             const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B;
             buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx].x);
             buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx].y);
             buf_b[buf_idx + 2] = FLOAT_TYPE(data_b[idx].z);
             buf_b[buf_idx + 3] = FLOAT_TYPE(data_b[idx].w);
-#else
+#elif !MUL_MAT_ID
             if (ic * BN + loadc_b + l < p.N && block + loadr_b < end_k) {
                 buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + (loadc_b + l) * p.stride_b + loadr_b]);
             } else {
                 buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f);
             }
+#else
+            const uint row_i = ic * BN + loadc_b + l;
+            if (row_i < _ne1) {
+                const u16vec2 row_idx = row_ids[row_i];
+                buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + loadr_b]);
+            } else {
+                buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f);
+            }
 #endif
         }
 
@@ -681,11 +695,9 @@ mulmat_body2 = """
     const uint dr = ir * BM + warp_r * WM;
     const uint dc = ic * BN + warp_c * WN;
 
-    const uint offsets =
-#ifdef MUL_MAT_ID
-            expert_idx * p.expert_stride_d +
+#ifndef MUL_MAT_ID
+    const uint offsets = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z;
 #endif
-            batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z;
 
     [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) {
         [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) {
@@ -693,10 +705,20 @@ mulmat_body2 = """
             const uint dr_warp = dr + wsir * WSUBM + tiwr * TM;
             const uint dc_warp = dc + wsic * WSUBN + tiwc * TN;
             [[unroll]] for (uint cc = 0; cc < TN; cc++) {
+#ifdef MUL_MAT_ID
+                const uint row_i = dc_warp + cc;
+                if (row_i >= _ne1) break;
+
+                const u16vec2 row_idx = row_ids[row_i];
+#endif
                 [[unroll]] for (uint cr = 0; cr < TM; cr++) {
+#ifdef MUL_MAT_ID
+                    data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]);
+#else
                     if (dr_warp + cr < p.M && dc_warp + cc < p.N) {
                         data_d[offsets + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]);
                     }
+#endif
                 }
             }
         }
@@ -1172,28 +1194,59 @@ layout (push_constant) uniform parameter
     uint stride_b;
     uint stride_d;
 
-    uint ne02;
-    uint ne12;
-    uint broadcast2;
-    uint broadcast3;
-
     uint batch_stride_a;
     uint batch_stride_b;
     uint batch_stride_d;
 
 #ifdef MUL_MAT_ID
-    uint expert_stride_a;
-    uint expert_stride_b0;
-    uint expert_stride_b1;
-    uint expert_stride_d0;
-    uint expert_stride_d1;
-
-    uint ne11;
     uint nei0;
-    uint nbi1;
-    uint n_as;
+    uint ne11;
+#else
+    uint ne02;
+    uint ne12;
+    uint broadcast2;
+    uint broadcast3;
 #endif
 } p;
+
+void get_offsets(out uint a_offset, out uint b_offset, out uint d_offset) {
+#ifdef MUL_MAT_ID
+    const uint expert_idx = gl_GlobalInvocationID.y;
+#else
+    const uint batch_idx = gl_GlobalInvocationID.y;
+#endif
+
+#ifndef MUL_MAT_ID
+    const uint i13 = batch_idx / p.ne12;
+    const uint i12 = batch_idx % p.ne12;
+
+    const uint i03 = i13 / p.broadcast3;
+    const uint i02 = i12 / p.broadcast2;
+
+    const uint batch_idx_a = i03 * p.ne02 + i02;
+#else
+    const uint expert_id = data_ids[expert_idx];
+#endif
+
+    a_offset =
+#ifdef MUL_MAT_ID
+            expert_id * p.batch_stride_a;
+#else
+            batch_idx_a * p.batch_stride_a;
+#endif
+    b_offset =
+#ifdef MUL_MAT_ID
+            (expert_idx % p.ne11) * p.stride_b;
+#else
+            batch_idx * p.batch_stride_b;
+#endif
+    d_offset =
+#ifdef MUL_MAT_ID
+            expert_idx * p.stride_d;
+#else
+            batch_idx * p.batch_stride_d;
+#endif
+}
 """
 
 mul_mat_vec_body = """
@@ -1206,41 +1259,9 @@ shared FLOAT_TYPE tmp[BLOCK_SIZE];
 void main() {
     const uint row = gl_WorkGroupID.x;
     const uint tid = gl_LocalInvocationID.x;
-    const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
-    const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
-    const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
 
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
-
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
-
-    const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
-    const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
-    const uint a_offset =
-#ifdef MUL_MAT_ID
-            expert_id * p.expert_stride_a +
-#endif
-            batch_idx_a * p.batch_stride_a;
-    const uint b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx0 % p.ne11) * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_b;
-    const uint d_offset =
-#ifdef MUL_MAT_ID
-            expert_idx0 * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_d;
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
 
     const uint y_offset = QUANT_R == 1 ? 1 : QUANT_K/2;
 
@@ -1281,41 +1302,9 @@ shared FLOAT_TYPE tmp[32];
 
 void main() {
     const uint row = gl_WorkGroupID.x;
-    const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
-    const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
-    const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
 
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
-
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
-
-    const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
-    const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
-    const uint a_offset =
-#ifdef MUL_MAT_ID
-            expert_id * p.expert_stride_a +
-#endif
-            batch_idx_a * p.batch_stride_a;
-    const uint b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx0 % p.ne11) * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_b;
-    const uint d_offset =
-#ifdef MUL_MAT_ID
-            expert_idx0 * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_d;
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
 
     const uint num_blocks_per_row = p.ncols / QUANT_K;
     const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -1384,41 +1373,9 @@ shared FLOAT_TYPE tmp[32];
 
 void main() {
     const uint row = gl_WorkGroupID.x;
-    const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
-    const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
-    const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
 
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
-
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
-
-    const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
-    const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
-    const uint a_offset =
-#ifdef MUL_MAT_ID
-            expert_id * p.expert_stride_a +
-#endif
-            batch_idx_a * p.batch_stride_a;
-    const uint b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx0 % p.ne11) * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_b;
-    const uint d_offset =
-#ifdef MUL_MAT_ID
-            expert_idx0 * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_d;
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
 
     const uint num_blocks_per_row = p.ncols / QUANT_K;
     const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -1480,41 +1437,9 @@ shared FLOAT_TYPE tmp[32];
 
 void main() {
     const uint row = gl_WorkGroupID.x;
-    const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
-    const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
-    const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
 
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
-
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
-
-    const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
-    const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
-    const uint a_offset =
-#ifdef MUL_MAT_ID
-            expert_id * p.expert_stride_a +
-#endif
-            batch_idx_a * p.batch_stride_a;
-    const uint b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx0 % p.ne11) * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_b;
-    const uint d_offset =
-#ifdef MUL_MAT_ID
-            expert_idx0 * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_d;
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
 
     const uint num_blocks_per_row = p.ncols / QUANT_K;
     const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -1625,41 +1550,9 @@ shared FLOAT_TYPE tmp[32];
 
 void main() {
     const uint row = gl_WorkGroupID.x;
-    const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
-    const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
-    const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
 
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
-
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
-
-    const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
-    const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
-    const uint a_offset =
-#ifdef MUL_MAT_ID
-            expert_id * p.expert_stride_a +
-#endif
-            batch_idx_a * p.batch_stride_a;
-    const uint b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx0 % p.ne11) * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_b;
-    const uint d_offset =
-#ifdef MUL_MAT_ID
-            expert_idx0 * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_d;
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
 
     const uint num_blocks_per_row = p.ncols / QUANT_K;
     const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -1766,41 +1659,9 @@ shared FLOAT_TYPE tmp[32];
 
 void main() {
     const uint row = gl_WorkGroupID.x;
-    const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
-    const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
-    const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
 
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
-
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
-
-    const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
-    const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
-    const uint a_offset =
-#ifdef MUL_MAT_ID
-            expert_id * p.expert_stride_a +
-#endif
-            batch_idx_a * p.batch_stride_a;
-    const uint b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx0 % p.ne11) * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_b;
-    const uint d_offset =
-#ifdef MUL_MAT_ID
-            expert_idx0 * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_d;
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
 
     const uint num_blocks_per_row = p.ncols / QUANT_K;
     const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -2143,12 +2004,18 @@ void main() {
 
 generic_binary_op_combined = f"{generic_binary_op_head}\n{generic_binary_op_layout}\n{generic_binary_op_funcs}\n{generic_binary_op_main}"
 
-# MUL F32
+# MUL
 mul_body = """
     data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) * FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
 }
 """
 
+# DIV
+div_body = """
+    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) / FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
+}
+"""
+
 # ADD
 add_body = """
     data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) + FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
@@ -2432,7 +2299,6 @@ layout (push_constant) uniform parameter
 {
     uint KX;
     uint KY;
-    uint KZ;
     float scale;
     float max_bias;
     float m0;
@@ -2449,8 +2315,7 @@ layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
 
 layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
 layout (binding = 1) readonly buffer Y {B_TYPE data_b[];};
-layout (binding = 2) readonly buffer Z {C_TYPE data_c[];};
-layout (binding = 3) buffer D {D_TYPE data_d[];};
+layout (binding = 2) buffer D {D_TYPE data_d[];};
 
 shared FLOAT_TYPE vals[BLOCK_SIZE];
 
@@ -2459,7 +2324,7 @@ void main() {
     const uint rowx = gl_WorkGroupID.x;
     const uint rowy = rowx % p.KY;
 
-    float slope = 0.0f;
+    float slope = 1.0f;
 
     // ALiBi
     if (p.max_bias > 0.0f) {
@@ -2472,11 +2337,18 @@ void main() {
     }
 
     // Find max
-    vals[tid] = uintBitsToFloat(0xFF800000);
+    FLOAT_TYPE max_val = uintBitsToFloat(0xFF800000);
 
-    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
-        vals[tid] = max(vals[tid], FLOAT_TYPE(data_a[rowx * p.KX + col]) * p.scale + (p.KY > 0 ? FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f)) + (p.KZ > 0 ? slope * FLOAT_TYPE(data_c[col]) : 0.0f));
+    [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) {
+        const uint col = col0 + tid;
+
+        if (col >= p.KX) {
+            break;
+        }
+
+        max_val = max(max_val, FLOAT_TYPE(data_a[rowx * p.KX + col]) * p.scale + (p.KY > 0 ? slope * FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f)));
     }
+    vals[tid] = max_val;
 
     barrier();
     [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
@@ -2486,15 +2358,21 @@ void main() {
         barrier();
     }
 
-    const FLOAT_TYPE max_val = vals[0];
+    max_val = vals[0];
     barrier();
 
     // Sum up values
     vals[tid] = FLOAT_TYPE(0.0f);
 
-    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
+    [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) {
+        const uint col = col0 + tid;
+
+        if (col >= p.KX) {
+            break;
+        }
+
         const uint i = rowx * p.KX + col;
-        const FLOAT_TYPE val = exp(FLOAT_TYPE(data_a[i]) * p.scale + (p.KY > 0 ? FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f)) - max_val);
+        const FLOAT_TYPE val = exp(FLOAT_TYPE(data_a[i]) * p.scale + (p.KY > 0 ? slope * FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f)) - max_val);
         vals[tid] += val;
         data_d[i] = D_TYPE(val);
     }
@@ -2509,7 +2387,13 @@ void main() {
 
     const D_TYPE divisor = D_TYPE(vals[0]);
 
-    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
+    [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) {
+        const uint col = col0 + tid;
+
+        if (col >= p.KX) {
+            break;
+        }
+
         data_d[rowx*p.KX + col] /= divisor;
     }
 }
@@ -2592,7 +2476,8 @@ layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in;
 
 layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
 layout (binding = 1) readonly buffer Y {int data_b[];};
-layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
+layout (binding = 2) readonly buffer Z {float data_freq_factors[];};
+layout (binding = 3) writeonly buffer D {D_TYPE data_d[];};
 
 layout (push_constant) uniform parameter {
     uint ncols;
@@ -2605,6 +2490,7 @@ layout (push_constant) uniform parameter {
     float corr_dims[4];
     float theta_scale;
     float inv_ndims;
+    uint has_freq_facs;
 } p;
 
 float rope_yarn_ramp(const float low, const float high, const uint i0) {
@@ -2651,13 +2537,12 @@ void main() {
     const uint i  = row*p.ncols + ib*p.ndims + ic/2;
     const uint i2 = row/p.p_delta_rows;
 
-    const float cur_rot = p.inv_ndims * ic - ib;
-
     const int pos = data_b[i2];
-    const float theta_base = pos*p.freq_scale*pow(p.theta_scale, col/2.0f);
+    const float freq_factor = p.has_freq_facs != 0 ? data_freq_factors[ic/2] : 1.0f;
+    const float theta_base = pos*p.freq_scale*pow(p.theta_scale, col/2.0f) / freq_factor;
 
     float cos_theta, sin_theta;
-    rope_yarn(theta_base, uint(cur_rot), cos_theta, sin_theta);
+    rope_yarn(theta_base, ic, cos_theta, sin_theta);
 
     const float x0 = float(data_a[i + 0]);
     const float x1 = float(data_a[i + p.ndims/2]);
@@ -2672,20 +2557,26 @@ argsort_src = """
 
 #extension GL_EXT_shader_16bit_storage : require
 
-layout(local_size_x = 1024, local_size_y = 1, local_size_z = 1) in;
+#define BLOCK_SIZE 1024
+#define ASC 0
+
+layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
 
 layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
 layout (binding = 1)          buffer D {int data_d[];};
 
 layout (push_constant) uniform parameter {
     uint ncols;
-    bool ascending;
+    uint ncols_pad;
+    uint order;
 } p;
 
+shared int dst_row[BLOCK_SIZE];
+
 void swap(uint idx0, uint idx1) {
-    int tmp = data_d[idx0];
-    data_d[idx0] = data_d[idx1];
-    data_d[idx1] = tmp;
+    int tmp = dst_row[idx0];
+    dst_row[idx0] = dst_row[idx1];
+    dst_row[idx1] = tmp;
 }
 
 void main() {
@@ -2693,36 +2584,80 @@ void main() {
     const int col = int(gl_LocalInvocationID.x);
     const uint row = gl_WorkGroupID.y;
 
-    if (col >= p.ncols) {
+    if (col >= p.ncols_pad) {
         return;
     }
 
-    const uint a_idx = row * p.ncols;
-    const uint d_idx = row * p.ncols;
+    const uint row_offset = row * p.ncols;
 
     // initialize indices
-    if (col < p.ncols) {
-        data_d[col] = col;
-    }
+    dst_row[col] = col;
     barrier();
 
-    for (uint k = 2; k <= p.ncols; k *= 2) {
+    for (uint k = 2; k <= p.ncols_pad; k *= 2) {
         for (uint j = k / 2; j > 0; j /= 2) {
             const uint ixj = col ^ j;
             if (ixj > col) {
                 if ((col & k) == 0) {
-                    if (p.ascending ? data_a[a_idx + data_d[d_idx + col]] > data_a[a_idx + data_d[d_idx + ixj]] : data_a[a_idx + data_d[d_idx + col]] < data_a[a_idx + data_d[d_idx + ixj]]) {
-                        swap(d_idx + col, d_idx + ixj);
+                    if (dst_row[col] >= p.ncols ||
+                        (dst_row[ixj] < p.ncols && (p.order == ASC ?
+                            data_a[row_offset + dst_row[col]] > data_a[row_offset + dst_row[ixj]] :
+                            data_a[row_offset + dst_row[col]] < data_a[row_offset + dst_row[ixj]]))
+                    ) {
+                        swap(col, ixj);
                     }
                 } else {
-                    if (p.ascending ? data_a[a_idx + data_d[d_idx + col]] < data_a[a_idx + data_d[d_idx + ixj]] : data_a[a_idx + data_d[d_idx + col]] > data_a[a_idx + data_d[d_idx + ixj]]) {
-                        swap(d_idx + col, d_idx + ixj);
+                    if (dst_row[ixj] >= p.ncols ||
+                        (dst_row[col] < p.ncols && (p.order == ASC ?
+                            data_a[row_offset + dst_row[col]] < data_a[row_offset + dst_row[ixj]] :
+                            data_a[row_offset + dst_row[col]] > data_a[row_offset + dst_row[ixj]]))
+                    ) {
+                        swap(col, ixj);
                     }
                 }
             }
             barrier();
         }
     }
+
+    if (col < p.ncols) {
+        data_d[row_offset + col] = dst_row[col];
+    }
+}
+"""
+
+sum_rows_src = """
+#extension GL_EXT_control_flow_attributes : enable
+layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
+
+layout (constant_id = 0) const uint BLOCK_SIZE = 32;
+
+shared FLOAT_TYPE tmp[BLOCK_SIZE];
+
+void main() {
+    const uint row = gl_WorkGroupID.x;
+    const uint col = gl_LocalInvocationID.x;
+
+    tmp[col] = FLOAT_TYPE(0.0f);
+
+    for (uint i = col; i < p.KX; i += BLOCK_SIZE) {
+        tmp[col] += FLOAT_TYPE(data_a[row*p.KX + i]);
+    }
+
+    barrier();
+    [[unroll]] for (int s = int(BLOCK_SIZE) / 2; s > 0; s >>= 1) {
+        if (col < s) {
+            tmp[col] += tmp[col + s];
+        }
+        barrier();
+    }
+
+    if (col == 0) {
+        data_d[row] = D_TYPE(tmp[0]);
+    }
 }
 """
 
@@ -2845,13 +2780,16 @@ async def main():
         stream.clear()
         stream.extend((mulmat_head, shader_float_type, mulmat_body1, mulmat_load_scalar, mulmat_body2))
         tasks.append(string_to_spv("matmul_f32", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_f32_aligned", "".join(stream), {"LOAD_VEC_A": 1, "LOAD_VEC_B": load_vec, "A_TYPE": "float", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_f32_aligned", "".join(stream), {"LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+        tasks.append(string_to_spv("matmul_f32_f16", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_f32_f16_aligned", "".join(stream), {"LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16))
 
         tasks.append(string_to_spv("matmul_f16", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_f16_aligned", "".join(stream), {"LOAD_VEC_A": 1, "LOAD_VEC_B": load_vec, "A_TYPE": "float16_t", "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_f16_aligned", "".join(stream), {"LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16))
 
         tasks.append(string_to_spv("matmul_f16_f32", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_f16_f32_aligned", "".join(stream), {"LOAD_VEC_A": 1, "LOAD_VEC_B": load_vec, "A_TYPE": "float16_t", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_f16_f32_aligned", "".join(stream), {"LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
         stream.clear()
         stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_0_defines, mulmat_body1, mulmat_load_q4_0, mulmat_body2))
@@ -2904,66 +2842,66 @@ async def main():
         tasks.append(string_to_spv("matmul_q6_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
         # MUL_MAT_ID
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_float_type, mulmat_body1, mulmat_load_scalar, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        stream.clear()
+        stream.extend((mulmat_head, shader_float_type, mulmat_body1, mulmat_load_scalar, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
-        # tasks.append(string_to_spv("matmul_id_f16", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_f16_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_f16", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_f16_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16))
 
-        # tasks.append(string_to_spv("matmul_id_f16_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_f16_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_f16_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_f16_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_0_defines, mulmat_body1, mulmat_load_q4_0, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q4_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q4_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_0_defines, mulmat_body1, mulmat_load_q4_0, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q4_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q4_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_1_defines, mulmat_body1, mulmat_load_q4_1, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q4_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q4_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_1_defines, mulmat_body1, mulmat_load_q4_1, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q4_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q4_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_0_defines, mulmat_body1, mulmat_load_q5_0, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q5_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q5_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_0_defines, mulmat_body1, mulmat_load_q5_0, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q5_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q5_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_1_defines, mulmat_body1, mulmat_load_q5_1, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q5_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q5_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_1_defines, mulmat_body1, mulmat_load_q5_1, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q5_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q5_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q8_0_defines, mulmat_body1, mulmat_load_q8_0, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q8_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q8_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q8_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q8_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q8_0_defines, mulmat_body1, mulmat_load_q8_0, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q8_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q8_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q8_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q8_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q2_K_defines, mulmat_body1, mulmat_load_q2_K, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q2_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q2_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q2_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q2_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q2_K_defines, mulmat_body1, mulmat_load_q2_K, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q2_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q2_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q2_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q2_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q3_K_defines, mulmat_body1, mulmat_load_q3_K, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q3_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q3_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q3_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q3_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q3_K_defines, mulmat_body1, mulmat_load_q3_K, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q3_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q3_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q3_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q3_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_K_defines, mulmat_body1, mulmat_load_q4_K, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q4_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q4_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_K_defines, mulmat_body1, mulmat_load_q4_K, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q4_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q4_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_K_defines, mulmat_body1, mulmat_load_q5_K, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q5_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q5_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_K_defines, mulmat_body1, mulmat_load_q5_K, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q5_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q5_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q6_K_defines, mulmat_body1, mulmat_load_q6_K, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q6_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q6_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q6_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q6_K_defines, mulmat_body1, mulmat_load_q6_K, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q6_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q6_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q6_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
     # Shaders where precision is needed, so no fp16 version
 
@@ -2972,7 +2910,9 @@ async def main():
         stream.clear()
         stream.extend((mul_mat_vec_head, shader_int8_ext, shader_f32))
 
-        if i == GGML_TYPE_F16:
+        if i == GGML_TYPE_F32:
+            stream.extend((shader_f32_defines, mul_mat_vec_layout, shader_float_dequant_func, mul_mat_vec_body))
+        elif i == GGML_TYPE_F16:
             stream.extend((shader_f16_defines, mul_mat_vec_layout, shader_float_dequant_func, mul_mat_vec_body))
         elif i == GGML_TYPE_Q4_0:
             stream.extend((shader_q4_0_defines, mul_mat_vec_layout, shader_q4_0_dequant_func, mul_mat_vec_body))
@@ -3000,7 +2940,7 @@ async def main():
         tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
         tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f16_f32", "".join(stream), {"B_TYPE": "float16_t", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
 
-        # tasks.append(string_to_spv(f"mul_mat_vec_id_{type_names[i]}_f32", "".join(stream), {"MUL_MAT_ID": "1", "B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
+        tasks.append(string_to_spv(f"mul_mat_vec_id_{type_names[i]}_f32", "".join(stream), {"MUL_MAT_ID": "1", "B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
 
     # Dequant shaders
     for i in range(0, VK_NUM_TYPES):
@@ -3079,8 +3019,11 @@ async def main():
     tasks.append(string_to_spv("add_f32", f"{generic_binary_op_combined}\n{add_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
 
     tasks.append(string_to_spv("split_k_reduce", mulmat_split_k_reduce_src, {}))
+
     tasks.append(string_to_spv("mul_f32", f"{generic_binary_op_combined}\n{mul_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
 
+    tasks.append(string_to_spv("div_f32", f"{generic_binary_op_combined}\n{div_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
+
     tasks.append(string_to_spv("scale_f32", f"{generic_unary_op_combined}\n{scale_body}", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
 
     tasks.append(string_to_spv("sqr_f32", f"{generic_unary_op_combined}\n{sqr_body}", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
@@ -3104,6 +3047,8 @@ async def main():
 
     tasks.append(string_to_spv("argsort_f32", argsort_src, {"A_TYPE": "float"}))
 
+    tasks.append(string_to_spv("sum_rows_f32", f"{generic_head}\n{shader_f32}\n{sum_rows_src}", {"A_TYPE": "float", "D_TYPE": "float"}))
+
     # Helper to decorate tasks with semaphore acquisition.
     async def withSemaphore(sem, task):
         async with sem:
diff --git a/gguf-py/gguf/__init__.py b/gguf-py/gguf/__init__.py
index e5d5806c8..ea5146b16 100644
--- a/gguf-py/gguf/__init__.py
+++ b/gguf-py/gguf/__init__.py
@@ -2,5 +2,6 @@ from .constants import *
 from .lazy import *
 from .gguf_reader import *
 from .gguf_writer import *
+from .quants import *
 from .tensor_mapping import *
 from .vocab import *
diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py
index 978fcada3..547cc5505 100644
--- a/gguf-py/gguf/constants.py
+++ b/gguf-py/gguf/constants.py
@@ -33,17 +33,21 @@ class Keys:
         FILE_TYPE            = "general.file_type"
 
     class LLM:
-        VOCAB_SIZE            = "{arch}.vocab_size"
-        CONTEXT_LENGTH        = "{arch}.context_length"
-        EMBEDDING_LENGTH      = "{arch}.embedding_length"
-        BLOCK_COUNT           = "{arch}.block_count"
-        FEED_FORWARD_LENGTH   = "{arch}.feed_forward_length"
-        USE_PARALLEL_RESIDUAL = "{arch}.use_parallel_residual"
-        TENSOR_DATA_LAYOUT    = "{arch}.tensor_data_layout"
-        EXPERT_COUNT          = "{arch}.expert_count"
-        EXPERT_USED_COUNT     = "{arch}.expert_used_count"
-        POOLING_TYPE          = "{arch}.pooling_type"
-        LOGIT_SCALE           = "{arch}.logit_scale"
+        VOCAB_SIZE                 = "{arch}.vocab_size"
+        CONTEXT_LENGTH             = "{arch}.context_length"
+        EMBEDDING_LENGTH           = "{arch}.embedding_length"
+        BLOCK_COUNT                = "{arch}.block_count"
+        LEADING_DENSE_BLOCK_COUNT  = "{arch}.leading_dense_block_count"
+        FEED_FORWARD_LENGTH        = "{arch}.feed_forward_length"
+        EXPERT_FEED_FORWARD_LENGTH = "{arch}.expert_feed_forward_length"
+        USE_PARALLEL_RESIDUAL      = "{arch}.use_parallel_residual"
+        TENSOR_DATA_LAYOUT         = "{arch}.tensor_data_layout"
+        EXPERT_COUNT               = "{arch}.expert_count"
+        EXPERT_USED_COUNT          = "{arch}.expert_used_count"
+        EXPERT_SHARED_COUNT        = "{arch}.expert_shared_count"
+        EXPERT_WEIGHTS_SCALE       = "{arch}.expert_weights_scale"
+        POOLING_TYPE               = "{arch}.pooling_type"
+        LOGIT_SCALE                = "{arch}.logit_scale"
 
     class Attention:
         HEAD_COUNT        = "{arch}.attention.head_count"
@@ -55,14 +59,18 @@ class Keys:
         LAYERNORM_EPS     = "{arch}.attention.layer_norm_epsilon"
         LAYERNORM_RMS_EPS = "{arch}.attention.layer_norm_rms_epsilon"
         CAUSAL            = "{arch}.attention.causal"
+        Q_LORA_RANK       = "{arch}.attention.q_lora_rank"
+        KV_LORA_RANK      = "{arch}.attention.kv_lora_rank"
 
     class Rope:
-        DIMENSION_COUNT      = "{arch}.rope.dimension_count"
-        FREQ_BASE            = "{arch}.rope.freq_base"
-        SCALING_TYPE         = "{arch}.rope.scaling.type"
-        SCALING_FACTOR       = "{arch}.rope.scaling.factor"
-        SCALING_ORIG_CTX_LEN = "{arch}.rope.scaling.original_context_length"
-        SCALING_FINETUNED    = "{arch}.rope.scaling.finetuned"
+        DIMENSION_COUNT         = "{arch}.rope.dimension_count"
+        FREQ_BASE               = "{arch}.rope.freq_base"
+        SCALING_TYPE            = "{arch}.rope.scaling.type"
+        SCALING_FACTOR          = "{arch}.rope.scaling.factor"
+        SCALING_ATTN_FACTOR     = "{arch}.rope.scaling.attn_factor"
+        SCALING_ORIG_CTX_LEN    = "{arch}.rope.scaling.original_context_length"
+        SCALING_FINETUNED       = "{arch}.rope.scaling.finetuned"
+        SCALING_YARN_LOG_MUL    = "{arch}.rope.scaling.yarn_log_multiplier"
 
     class SSM:
         CONV_KERNEL    = "{arch}.ssm.conv_kernel"
@@ -115,7 +123,6 @@ class MODEL_ARCH(IntEnum):
     GPTNEOX    = auto()
     MPT        = auto()
     STARCODER  = auto()
-    PERSIMMON  = auto()
     REFACT     = auto()
     BERT       = auto()
     NOMIC_BERT = auto()
@@ -139,6 +146,8 @@ class MODEL_ARCH(IntEnum):
     COMMAND_R  = auto()
     DBRX       = auto()
     OLMO       = auto()
+    ARCTIC     = auto()
+    DEEPSEEK2  = auto()
 
 
 class MODEL_TENSOR(IntEnum):
@@ -149,6 +158,8 @@ class MODEL_TENSOR(IntEnum):
     OUTPUT             = auto()
     OUTPUT_NORM        = auto()
     ROPE_FREQS         = auto()
+    ROPE_FACTORS_LONG  = auto()
+    ROPE_FACTORS_SHORT = auto()
     ATTN_Q             = auto()
     ATTN_K             = auto()
     ATTN_V             = auto()
@@ -165,6 +176,7 @@ class MODEL_TENSOR(IntEnum):
     FFN_DOWN           = auto()
     FFN_UP             = auto()
     FFN_ACT            = auto()
+    FFN_NORM_EXP       = auto()
     FFN_GATE_EXP       = auto()
     FFN_DOWN_EXP       = auto()
     FFN_UP_EXP         = auto()
@@ -181,6 +193,12 @@ class MODEL_TENSOR(IntEnum):
     SSM_A              = auto()
     SSM_D              = auto()
     SSM_OUT            = auto()
+    ATTN_Q_A           = auto()
+    ATTN_Q_B           = auto()
+    ATTN_KV_A_MQA      = auto()
+    ATTN_KV_B          = auto()
+    ATTN_Q_A_NORM      = auto()
+    ATTN_KV_A_NORM     = auto()
 
 
 MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
@@ -193,7 +211,6 @@ MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
     MODEL_ARCH.GPTNEOX:        "gptneox",
     MODEL_ARCH.MPT:            "mpt",
     MODEL_ARCH.STARCODER:      "starcoder",
-    MODEL_ARCH.PERSIMMON:      "persimmon",
     MODEL_ARCH.REFACT:         "refact",
     MODEL_ARCH.BERT:           "bert",
     MODEL_ARCH.NOMIC_BERT:     "nomic-bert",
@@ -217,6 +234,8 @@ MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
     MODEL_ARCH.COMMAND_R:      "command-r",
     MODEL_ARCH.DBRX:           "dbrx",
     MODEL_ARCH.OLMO:           "olmo",
+    MODEL_ARCH.ARCTIC:         "arctic",
+    MODEL_ARCH.DEEPSEEK2:      "deepseek2",
 }
 
 TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
@@ -227,6 +246,8 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
     MODEL_TENSOR.OUTPUT_NORM:        "output_norm",
     MODEL_TENSOR.OUTPUT:             "output",
     MODEL_TENSOR.ROPE_FREQS:         "rope_freqs",
+    MODEL_TENSOR.ROPE_FACTORS_LONG:  "rope_factors_long",
+    MODEL_TENSOR.ROPE_FACTORS_SHORT: "rope_factors_short",
     MODEL_TENSOR.ATTN_NORM:          "blk.{bid}.attn_norm",
     MODEL_TENSOR.ATTN_NORM_2:        "blk.{bid}.attn_norm_2",
     MODEL_TENSOR.ATTN_QKV:           "blk.{bid}.attn_qkv",
@@ -248,6 +269,7 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
     MODEL_TENSOR.FFN_DOWN_SHEXP:     "blk.{bid}.ffn_down_shexp",
     MODEL_TENSOR.FFN_UP_SHEXP:       "blk.{bid}.ffn_up_shexp",
     MODEL_TENSOR.FFN_ACT:            "blk.{bid}.ffn",
+    MODEL_TENSOR.FFN_NORM_EXP:       "blk.{bid}.ffn_norm_exps",
     MODEL_TENSOR.FFN_GATE_EXP:       "blk.{bid}.ffn_gate_exps",
     MODEL_TENSOR.FFN_DOWN_EXP:       "blk.{bid}.ffn_down_exps",
     MODEL_TENSOR.FFN_UP_EXP:         "blk.{bid}.ffn_up_exps",
@@ -259,6 +281,12 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
     MODEL_TENSOR.SSM_A:              "blk.{bid}.ssm_a",
     MODEL_TENSOR.SSM_D:              "blk.{bid}.ssm_d",
     MODEL_TENSOR.SSM_OUT:            "blk.{bid}.ssm_out",
+    MODEL_TENSOR.ATTN_Q_A:           "blk.{bid}.attn_q_a",
+    MODEL_TENSOR.ATTN_Q_B:           "blk.{bid}.attn_q_b",
+    MODEL_TENSOR.ATTN_KV_A_MQA:      "blk.{bid}.attn_kv_a_mqa",
+    MODEL_TENSOR.ATTN_KV_B:          "blk.{bid}.attn_kv_b",
+    MODEL_TENSOR.ATTN_Q_A_NORM:      "blk.{bid}.attn_q_a_norm",
+    MODEL_TENSOR.ATTN_KV_A_NORM:     "blk.{bid}.attn_kv_a_norm",
 }
 
 MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
@@ -398,6 +426,7 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.FFN_GATE,
         MODEL_TENSOR.FFN_DOWN,
         MODEL_TENSOR.LAYER_OUT_NORM,
+        MODEL_TENSOR.ATTN_NORM_2,
     ],
     MODEL_ARCH.MPT: [
         MODEL_TENSOR.TOKEN_EMBD,
@@ -426,20 +455,6 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.FFN_DOWN,
         MODEL_TENSOR.FFN_UP,
     ],
-    MODEL_ARCH.PERSIMMON: [
-        MODEL_TENSOR.TOKEN_EMBD,
-        MODEL_TENSOR.OUTPUT,
-        MODEL_TENSOR.OUTPUT_NORM,
-        MODEL_TENSOR.ATTN_NORM,
-        MODEL_TENSOR.ATTN_QKV,
-        MODEL_TENSOR.ATTN_OUT,
-        MODEL_TENSOR.FFN_NORM,
-        MODEL_TENSOR.FFN_DOWN,
-        MODEL_TENSOR.FFN_UP,
-        MODEL_TENSOR.ATTN_Q_NORM,
-        MODEL_TENSOR.ATTN_K_NORM,
-        MODEL_TENSOR.ATTN_ROT_EMBD,
-    ],
     MODEL_ARCH.REFACT: [
         MODEL_TENSOR.TOKEN_EMBD,
         MODEL_TENSOR.OUTPUT_NORM,
@@ -631,6 +646,7 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
     ],
     MODEL_ARCH.MINICPM: [
         MODEL_TENSOR.TOKEN_EMBD,
+        MODEL_TENSOR.OUTPUT,
         MODEL_TENSOR.OUTPUT_NORM,
         MODEL_TENSOR.ROPE_FREQS,
         MODEL_TENSOR.ATTN_NORM,
@@ -743,6 +759,54 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.FFN_DOWN,
         MODEL_TENSOR.FFN_UP,
     ],
+    MODEL_ARCH.ARCTIC: [
+        MODEL_TENSOR.TOKEN_EMBD,
+        MODEL_TENSOR.OUTPUT_NORM,
+        MODEL_TENSOR.OUTPUT,
+        MODEL_TENSOR.ROPE_FREQS,
+        MODEL_TENSOR.ATTN_NORM,
+        MODEL_TENSOR.ATTN_Q,
+        MODEL_TENSOR.ATTN_K,
+        MODEL_TENSOR.ATTN_V,
+        MODEL_TENSOR.ATTN_OUT,
+        MODEL_TENSOR.ATTN_ROT_EMBD,
+        MODEL_TENSOR.FFN_GATE_INP,
+        MODEL_TENSOR.FFN_NORM,
+        MODEL_TENSOR.FFN_GATE,
+        MODEL_TENSOR.FFN_DOWN,
+        MODEL_TENSOR.FFN_UP,
+        MODEL_TENSOR.FFN_NORM_EXP,
+        MODEL_TENSOR.FFN_GATE_EXP,
+        MODEL_TENSOR.FFN_DOWN_EXP,
+        MODEL_TENSOR.FFN_UP_EXP,
+    ],
+    MODEL_ARCH.DEEPSEEK2: [
+        MODEL_TENSOR.TOKEN_EMBD,
+        MODEL_TENSOR.OUTPUT_NORM,
+        MODEL_TENSOR.OUTPUT,
+        MODEL_TENSOR.ROPE_FREQS,
+        MODEL_TENSOR.ATTN_NORM,
+        MODEL_TENSOR.ATTN_Q,
+        MODEL_TENSOR.ATTN_Q_A,
+        MODEL_TENSOR.ATTN_Q_B,
+        MODEL_TENSOR.ATTN_KV_A_MQA,
+        MODEL_TENSOR.ATTN_KV_B,
+        MODEL_TENSOR.ATTN_Q_A_NORM,
+        MODEL_TENSOR.ATTN_KV_A_NORM,
+        MODEL_TENSOR.ATTN_OUT,
+        MODEL_TENSOR.ATTN_ROT_EMBD,
+        MODEL_TENSOR.FFN_GATE_INP,
+        MODEL_TENSOR.FFN_NORM,
+        MODEL_TENSOR.FFN_GATE,
+        MODEL_TENSOR.FFN_DOWN,
+        MODEL_TENSOR.FFN_UP,
+        MODEL_TENSOR.FFN_GATE_EXP,
+        MODEL_TENSOR.FFN_DOWN_EXP,
+        MODEL_TENSOR.FFN_UP_EXP,
+        MODEL_TENSOR.FFN_GATE_SHEXP,
+        MODEL_TENSOR.FFN_DOWN_SHEXP,
+        MODEL_TENSOR.FFN_UP_SHEXP,
+    ],
     # TODO
 }
 
@@ -756,9 +820,6 @@ MODEL_TENSOR_SKIP: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.ROPE_FREQS,
         MODEL_TENSOR.ATTN_ROT_EMBD,
     ],
-    MODEL_ARCH.PERSIMMON: [
-        MODEL_TENSOR.ROPE_FREQS,
-    ],
     MODEL_ARCH.QWEN: [
         MODEL_TENSOR.ROPE_FREQS,
         MODEL_TENSOR.ATTN_ROT_EMBD,
@@ -779,6 +840,10 @@ MODEL_TENSOR_SKIP: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.ROPE_FREQS,
         MODEL_TENSOR.ATTN_ROT_EMBD,
     ],
+    MODEL_ARCH.DEEPSEEK2: [
+        MODEL_TENSOR.ROPE_FREQS,
+        MODEL_TENSOR.ATTN_ROT_EMBD,
+    ],
 }
 
 #
@@ -919,9 +984,8 @@ class GGUFValueType(IntEnum):
             raise ValueError(f"Unknown type: {type(val)}")
 
 
-# Note: Does not support GGML_QKK_64
-QK_K = 256
 # Items here are (block size, type size)
+QK_K = 256
 GGML_QUANT_SIZES: dict[GGMLQuantizationType, tuple[int, int]] = {
     GGMLQuantizationType.F32:     (1, 4),
     GGMLQuantizationType.F16:     (1, 2),
diff --git a/gguf-py/gguf/gguf_reader.py b/gguf-py/gguf/gguf_reader.py
index 21b089f8a..e48bc00c3 100644
--- a/gguf-py/gguf/gguf_reader.py
+++ b/gguf-py/gguf/gguf_reader.py
@@ -12,6 +12,8 @@ from typing import Any, Literal, NamedTuple, TypeVar, Union
 import numpy as np
 import numpy.typing as npt
 
+from .quants import quant_shape_to_byte_shape
+
 if __name__ == "__main__":
     import sys
     from pathlib import Path
@@ -251,6 +253,7 @@ class GGUFReader:
             tensor_names.add(tensor_name)
             ggml_type = GGMLQuantizationType(raw_dtype[0])
             n_elems = int(np.prod(dims))
+            np_dims = tuple(reversed(dims.tolist()))
             block_size, type_size = GGML_QUANT_SIZES[ggml_type]
             n_bytes = n_elems * type_size // block_size
             data_offs = int(start_offs + offset_tensor[0])
@@ -279,6 +282,7 @@ class GGUFReader:
             else:
                 item_count = n_bytes
                 item_type = np.uint8
+                np_dims = quant_shape_to_byte_shape(np_dims, ggml_type)
             tensors.append(ReaderTensor(
                 name = tensor_name,
                 tensor_type = ggml_type,
@@ -286,7 +290,7 @@ class GGUFReader:
                 n_elements = n_elems,
                 n_bytes = n_bytes,
                 data_offset = data_offs,
-                data = self._get(data_offs, item_type, item_count),
+                data = self._get(data_offs, item_type, item_count).reshape(np_dims),
                 field = field,
             ))
         self.tensors = tensors
diff --git a/gguf-py/gguf/gguf_writer.py b/gguf-py/gguf/gguf_writer.py
index 96574358d..b93747aff 100644
--- a/gguf-py/gguf/gguf_writer.py
+++ b/gguf-py/gguf/gguf_writer.py
@@ -25,6 +25,8 @@ from .constants import (
     TokenType,
 )
 
+from .quants import quant_shape_from_byte_shape
+
 logger = logging.getLogger(__name__)
 
 
@@ -195,7 +197,7 @@ class GGUFWriter:
         return ((x + n - 1) // n) * n
 
     def add_tensor_info(
-        self, name: str, tensor_shape: Sequence[int], tensor_dtype: np.dtype[np.float16] | np.dtype[np.float32],
+        self, name: str, tensor_shape: Sequence[int], tensor_dtype: np.dtype,
         tensor_nbytes: int, raw_dtype: GGMLQuantizationType | None = None,
     ) -> None:
         if self.state is not WriterState.EMPTY:
@@ -208,10 +210,6 @@ class GGUFWriter:
         encoded_name = name.encode("utf-8")
         self.ti_data += self._pack("Q", len(encoded_name))
         self.ti_data += encoded_name
-        n_dims = len(tensor_shape)
-        self.ti_data += self._pack("I", n_dims)
-        for i in range(n_dims):
-            self.ti_data += self._pack("Q", tensor_shape[n_dims - 1 - i])
         if raw_dtype is None:
             if tensor_dtype == np.float16:
                 dtype = GGMLQuantizationType.F16
@@ -231,6 +229,12 @@ class GGUFWriter:
                 raise ValueError("Only F16, F32, F64, I8, I16, I32, I64 tensors are supported for now")
         else:
             dtype = raw_dtype
+            if tensor_dtype == np.uint8:
+                tensor_shape = quant_shape_from_byte_shape(tensor_shape, raw_dtype)
+        n_dims = len(tensor_shape)
+        self.ti_data += self._pack("I", n_dims)
+        for i in range(n_dims):
+            self.ti_data += self._pack("Q", tensor_shape[n_dims - 1 - i])
         self.ti_data += self._pack("I", dtype)
         self.ti_data += self._pack("Q", self.offset_tensor)
         self.offset_tensor += GGUFWriter.ggml_pad(tensor_nbytes, self.data_alignment)
@@ -370,9 +374,15 @@ class GGUFWriter:
     def add_block_count(self, length: int) -> None:
         self.add_uint32(Keys.LLM.BLOCK_COUNT.format(arch=self.arch), length)
 
+    def add_leading_dense_block_count(self, length: int) -> None:
+        self.add_uint32(Keys.LLM.LEADING_DENSE_BLOCK_COUNT.format(arch=self.arch), length)
+
     def add_feed_forward_length(self, length: int) -> None:
         self.add_uint32(Keys.LLM.FEED_FORWARD_LENGTH.format(arch=self.arch), length)
 
+    def add_expert_feed_forward_length(self, length: int) -> None:
+        self.add_uint32(Keys.LLM.EXPERT_FEED_FORWARD_LENGTH.format(arch=self.arch), length)
+
     def add_parallel_residual(self, use: bool) -> None:
         self.add_bool(Keys.LLM.USE_PARALLEL_RESIDUAL.format(arch=self.arch), use)
 
@@ -403,6 +413,12 @@ class GGUFWriter:
     def add_expert_used_count(self, count: int) -> None:
         self.add_uint32(Keys.LLM.EXPERT_USED_COUNT.format(arch=self.arch), count)
 
+    def add_expert_shared_count(self, count: int) -> None:
+        self.add_uint32(Keys.LLM.EXPERT_SHARED_COUNT.format(arch=self.arch), count)
+
+    def add_expert_weights_scale(self, value: float) -> None:
+        self.add_float32(Keys.LLM.EXPERT_WEIGHTS_SCALE.format(arch=self.arch), value)
+
     def add_layer_norm_eps(self, value: float) -> None:
         self.add_float32(Keys.Attention.LAYERNORM_EPS.format(arch=self.arch), value)
 
@@ -412,6 +428,12 @@ class GGUFWriter:
     def add_causal_attention(self, value: bool) -> None:
         self.add_bool(Keys.Attention.CAUSAL.format(arch=self.arch), value)
 
+    def add_q_lora_rank(self, length: int) -> None:
+        self.add_uint32(Keys.Attention.Q_LORA_RANK.format(arch=self.arch), length)
+
+    def add_kv_lora_rank(self, length: int) -> None:
+        self.add_uint32(Keys.Attention.KV_LORA_RANK.format(arch=self.arch), length)
+
     def add_pooling_type(self, value: PoolingType) -> None:
         self.add_uint32(Keys.LLM.POOLING_TYPE.format(arch=self.arch), value.value)
 
@@ -427,12 +449,18 @@ class GGUFWriter:
     def add_rope_scaling_factor(self, value: float) -> None:
         self.add_float32(Keys.Rope.SCALING_FACTOR.format(arch=self.arch), value)
 
+    def add_rope_scaling_attn_factors(self, value: Sequence[float]) -> None:
+        self.add_float32(Keys.Rope.SCALING_ATTN_FACTOR.format(arch=self.arch), value)
+
     def add_rope_scaling_orig_ctx_len(self, value: int) -> None:
         self.add_uint32(Keys.Rope.SCALING_ORIG_CTX_LEN.format(arch=self.arch), value)
 
     def add_rope_scaling_finetuned(self, value: bool) -> None:
         self.add_bool(Keys.Rope.SCALING_FINETUNED.format(arch=self.arch), value)
 
+    def add_rope_scaling_yarn_log_mul(self, value: float) -> None:
+        self.add_float32(Keys.Rope.SCALING_YARN_LOG_MUL.format(arch=self.arch), value)
+
     def add_ssm_conv_kernel(self, value: int) -> None:
         self.add_uint32(Keys.SSM.CONV_KERNEL.format(arch=self.arch), value)
 
diff --git a/gguf-py/gguf/lazy.py b/gguf-py/gguf/lazy.py
index 650bea11c..1167335b8 100644
--- a/gguf-py/gguf/lazy.py
+++ b/gguf-py/gguf/lazy.py
@@ -6,6 +6,7 @@ from typing import Any, Callable
 from collections import deque
 
 import numpy as np
+from numpy._typing import _Shape
 from numpy.typing import DTypeLike
 
 
@@ -110,7 +111,7 @@ class LazyBase(ABC, metaclass=LazyMeta):
             return o
 
     @classmethod
-    def _wrap_fn(cls, fn: Callable, *, use_self: LazyBase | None = None, meta_noop: bool | DTypeLike = False) -> Callable[[Any], Any]:
+    def _wrap_fn(cls, fn: Callable, *, use_self: LazyBase | None = None, meta_noop: bool | DTypeLike | tuple[DTypeLike, Callable[[tuple[int, ...]], tuple[int, ...]]] = False) -> Callable[[Any], Any]:
         def wrapped_fn(*args, **kwargs):
             if kwargs is None:
                 kwargs = {}
@@ -130,9 +131,14 @@ class LazyBase(ABC, metaclass=LazyMeta):
                 res = args[0]
                 assert isinstance(res, cls)
                 res = res._meta
-                # allow operations to override the dtype
+                # allow operations to override the dtype and shape
                 if meta_noop is not True:
-                    res = cls.meta_with_dtype(res, meta_noop)
+                    if isinstance(meta_noop, tuple):
+                        dtype, shape = meta_noop
+                        assert callable(shape)
+                        res = cls.meta_with_dtype_and_shape(dtype, shape(res.shape))
+                    else:
+                        res = cls.meta_with_dtype_and_shape(meta_noop, res.shape)
 
             if isinstance(res, cls._tensor_type):
                 def collect_replace(t: LazyBase):
@@ -168,7 +174,12 @@ class LazyBase(ABC, metaclass=LazyMeta):
             while _t._data is None:
                 lt = _t._lazy.popleft()
                 if lt._data is not None:
-                    raise ValueError(f"{lt} did not belong in the lazy queue")
+                    # Lazy tensor did not belong in the lazy queue.
+                    # Weirdly only happens with Bloom models...
+                    # likely because tensors aren't unique in the queue.
+                    # The final output is still the same as in eager mode,
+                    # so it's safe to ignore this.
+                    continue
                 assert lt._func is not None
                 lt._args = cls._recurse_apply(lt._args, already_eager_to_eager)
                 lt._data = lt._func(lt._args)
@@ -183,12 +194,12 @@ class LazyBase(ABC, metaclass=LazyMeta):
 
     @classmethod
     def eager_to_meta(cls, t: Any) -> Any:
-        return cls.meta_with_dtype(t, t.dtype)
+        return cls.meta_with_dtype_and_shape(t.dtype, t.shape)
 
     # must be overridden, meta tensor init is backend-specific
     @classmethod
     @abstractmethod
-    def meta_with_dtype(cls, m: Any, dtype: Any) -> Any: pass
+    def meta_with_dtype_and_shape(cls, dtype: Any, shape: Any) -> Any: pass
 
     @classmethod
     def from_eager(cls, t: Any) -> Any:
@@ -205,15 +216,15 @@ class LazyNumpyTensor(LazyBase):
     _tensor_type = np.ndarray
 
     @classmethod
-    def meta_with_dtype(cls, m: np.ndarray[Any, Any], dtype: DTypeLike) -> np.ndarray[Any, Any]:
+    def meta_with_dtype_and_shape(cls, dtype: DTypeLike, shape: _Shape) -> np.ndarray[Any, Any]:
         # The initial idea was to use np.nan as the fill value,
         # but non-float types like np.int16 can't use that.
         # So zero it is.
         cheat = np.zeros(1, dtype)
-        return np.lib.stride_tricks.as_strided(cheat, m.shape, (0 for _ in m.shape))
+        return np.lib.stride_tricks.as_strided(cheat, shape, (0 for _ in shape))
 
     def astype(self, dtype, *args, **kwargs):
-        meta = type(self).meta_with_dtype(self._meta, dtype)
+        meta = type(self).meta_with_dtype_and_shape(dtype, self._meta.shape)
         full_args = (self, dtype,) + args
         # very important to pass the shared _lazy deque, or else there's an infinite loop somewhere.
         return type(self)(meta=meta, args=full_args, lazy=self._lazy, func=(lambda a: a[0].astype(*a[1:], **kwargs)))
diff --git a/gguf-py/gguf/quants.py b/gguf-py/gguf/quants.py
new file mode 100644
index 000000000..b22eec166
--- /dev/null
+++ b/gguf-py/gguf/quants.py
@@ -0,0 +1,123 @@
+from __future__ import annotations
+from typing import Callable, Sequence
+
+from numpy.typing import DTypeLike
+
+from .constants import GGML_QUANT_SIZES, GGMLQuantizationType
+from .lazy import LazyNumpyTensor
+
+import numpy as np
+
+
+def quant_shape_to_byte_shape(shape: Sequence[int], quant_type: GGMLQuantizationType):
+    block_size, type_size = GGML_QUANT_SIZES[quant_type]
+    if shape[-1] % block_size != 0:
+        raise ValueError(f"Quantized tensor row size ({shape[-1]}) is not a multiple of {quant_type.name} block size ({block_size})")
+    return (*shape[:-1], shape[-1] // block_size * type_size)
+
+
+def quant_shape_from_byte_shape(shape: Sequence[int], quant_type: GGMLQuantizationType):
+    block_size, type_size = GGML_QUANT_SIZES[quant_type]
+    if shape[-1] % type_size != 0:
+        raise ValueError(f"Quantized tensor bytes per row ({shape[-1]}) is not a multiple of {quant_type.name} type size ({type_size})")
+    return (*shape[:-1], shape[-1] // type_size * block_size)
+
+
+# same as ggml_compute_fp32_to_bf16 in ggml-impl.h
+def __compute_fp32_to_bf16(n: np.ndarray) -> np.ndarray:
+    n = n.astype(np.float32, copy=False).view(np.int32)
+    # force nan to quiet
+    n = np.where((n & 0x7fffffff) > 0x7f800000, (n & 0xffff0000) | (64 << 16), n)
+    # flush subnormals to zero
+    n = np.where((n & 0x7f800000) == 0, n & 0x80000000, n)
+    # round to nearest even
+    n = (n + (0x7fff + ((n >> 16) & 1))) >> 16
+    return n.astype(np.int16)
+
+
+# This is faster than np.vectorize and np.apply_along_axis because it works on more than one row at a time
+def __apply_over_grouped_rows(func: Callable[[np.ndarray], np.ndarray], arr: np.ndarray, otype: DTypeLike, oshape: tuple[int, ...]) -> np.ndarray:
+    rows = arr.reshape((-1, arr.shape[-1]))
+    osize = 1
+    for dim in oshape:
+        osize *= dim
+    out = np.empty(shape=osize, dtype=otype)
+    # compute over groups of 16 rows (arbitrary, but seems good for performance)
+    n_groups = rows.shape[0] // 16
+    np.concatenate([func(group).ravel() for group in np.array_split(rows, n_groups)], axis=0, out=out)
+    return out.reshape(oshape)
+
+
+def __quantize_bf16_array(n: np.ndarray) -> np.ndarray:
+    return __apply_over_grouped_rows(__compute_fp32_to_bf16, arr=n, otype=np.int16, oshape=n.shape)
+
+
+__quantize_bf16_lazy = LazyNumpyTensor._wrap_fn(__quantize_bf16_array, meta_noop=np.int16)
+
+
+def quantize_bf16(n: np.ndarray):
+    if type(n) is LazyNumpyTensor:
+        return __quantize_bf16_lazy(n)
+    else:
+        return __quantize_bf16_array(n)
+
+
+__q8_block_size, __q8_type_size = GGML_QUANT_SIZES[GGMLQuantizationType.Q8_0]
+
+
+def can_quantize_to_q8_0(n: np.ndarray) -> bool:
+    return n.shape[-1] % __q8_block_size == 0
+
+
+# round away from zero
+# ref: https://stackoverflow.com/a/59143326/22827863
+def np_roundf(n: np.ndarray) -> np.ndarray:
+    a = abs(n)
+    floored = np.floor(a)
+    b = floored + np.floor(2 * (a - floored))
+    return np.sign(n) * b
+
+
+def __quantize_q8_0_shape_change(s: tuple[int, ...]) -> tuple[int, ...]:
+    return (*s[:-1], s[-1] // __q8_block_size * __q8_type_size)
+
+
+# Implementation of Q8_0 with bit-exact same results as reference implementation in ggml-quants.c
+def __quantize_q8_0_rows(n: np.ndarray) -> np.ndarray:
+    shape = n.shape
+    assert shape[-1] % __q8_block_size == 0
+
+    n_blocks = n.size // __q8_block_size
+
+    blocks = n.reshape((n_blocks, __q8_block_size)).astype(np.float32, copy=False)
+
+    d = abs(blocks).max(axis=1, keepdims=True) / 127
+    with np.errstate(divide="ignore"):
+        id = np.where(d == 0, 0, 1 / d)
+    qs = np_roundf(blocks * id)
+
+    # (n_blocks, 2)
+    d = d.astype(np.float16).view(np.uint8)
+    # (n_blocks, block_size)
+    qs = qs.astype(np.int8).view(np.uint8)
+
+    assert d.shape[1] + qs.shape[1] == __q8_type_size
+
+    return np.concatenate([d, qs], axis=1).reshape(__quantize_q8_0_shape_change(shape))
+
+
+def __quantize_q8_0_array(n: np.ndarray) -> np.ndarray:
+    return __apply_over_grouped_rows(__quantize_q8_0_rows, arr=n, otype=np.uint8, oshape=__quantize_q8_0_shape_change(n.shape))
+
+
+__quantize_q8_0_lazy = LazyNumpyTensor._wrap_fn(
+    __quantize_q8_0_array,
+    meta_noop=(np.uint8, __quantize_q8_0_shape_change),
+)
+
+
+def quantize_q8_0(data: np.ndarray):
+    if type(data) is LazyNumpyTensor:
+        return __quantize_q8_0_lazy(data)
+    else:
+        return __quantize_q8_0_array(data)
diff --git a/gguf-py/gguf/tensor_mapping.py b/gguf-py/gguf/tensor_mapping.py
index 8e1cac915..81b4992a5 100644
--- a/gguf-py/gguf/tensor_mapping.py
+++ b/gguf-py/gguf/tensor_mapping.py
@@ -102,6 +102,7 @@ class TensorNameMap:
         # Attention norm 2
         MODEL_TENSOR.ATTN_NORM_2: (
             "transformer.h.{bid}.ln_attn",  # falcon40b
+            "encoder.layer.{bid}.layer_norm_1",             # jina-v2-code
         ),
 
         # Attention query-key-value
@@ -244,6 +245,7 @@ class TensorNameMap:
             "encoder.layers.{bid}.mlp.fc11",                          # nomic-bert
             "model.layers.{bid}.mlp.c_fc",                            # starcoder2
             "encoder.layer.{bid}.mlp.gated_layers_v",                 # jina-bert-v2
+            "model.layers.{bid}.residual_mlp.w3",                     # arctic
         ),
 
         MODEL_TENSOR.FFN_UP_EXP: (
@@ -255,6 +257,7 @@ class TensorNameMap:
 
         MODEL_TENSOR.FFN_UP_SHEXP: (
             "model.layers.{bid}.mlp.shared_expert.up_proj",  # qwen2moe
+            "model.layers.{bid}.mlp.shared_experts.up_proj", # deepseek2
         ),
 
         # AWQ-activation gate
@@ -272,6 +275,7 @@ class TensorNameMap:
             "encoder.layers.{bid}.mlp.fc12",              # nomic-bert
             "encoder.layer.{bid}.mlp.gated_layers_w",     # jina-bert-v2
             "transformer.h.{bid}.mlp.linear_1",           # refact
+            "model.layers.{bid}.residual_mlp.w1",         # arctic
         ),
 
         MODEL_TENSOR.FFN_GATE_EXP: (
@@ -283,6 +287,7 @@ class TensorNameMap:
 
         MODEL_TENSOR.FFN_GATE_SHEXP: (
             "model.layers.{bid}.mlp.shared_expert.gate_proj",  # qwen2moe
+            "model.layers.{bid}.mlp.shared_experts.gate_proj", # deepseek2
         ),
 
         # Feed-forward down
@@ -306,6 +311,8 @@ class TensorNameMap:
             "encoder.layers.{bid}.mlp.fc2",                           # nomic-bert
             "model.layers.{bid}.mlp.c_proj",                          # starcoder2
             "encoder.layer.{bid}.mlp.wo",                             # jina-bert-v2
+            "model.layers.{bid}.residual_mlp.w2",                     # arctic
+            "encoder.layer.{bid}.mlp.down_layer",                     # jina-bert-v2
         ),
 
         MODEL_TENSOR.FFN_DOWN_EXP: (
@@ -317,6 +324,7 @@ class TensorNameMap:
 
         MODEL_TENSOR.FFN_DOWN_SHEXP: (
             "model.layers.{bid}.mlp.shared_expert.down_proj",  # qwen2moe
+            "model.layers.{bid}.mlp.shared_experts.down_proj", # deepseek2
         ),
 
         MODEL_TENSOR.ATTN_Q_NORM: (
@@ -344,6 +352,7 @@ class TensorNameMap:
             "encoder.layers.{bid}.norm2",                   # nomic-bert
             "transformer.decoder_layer.{bid}.rms_norm_3",   # Grok
             "encoder.layer.{bid}.mlp.layernorm",            # jina-bert-v2
+            "encoder.layer.{bid}.layer_norm_2"              # jina-v2-code
         ),
 
         MODEL_TENSOR.SSM_IN: (
@@ -380,6 +389,42 @@ class TensorNameMap:
             "model.layers.{bid}.out_proj",
             "backbone.layers.{bid}.mixer.out_proj",
         ),
+
+        MODEL_TENSOR.ATTN_Q_A: (
+            "model.layers.{bid}.self_attn.q_a_proj", # deepseek2
+        ),
+
+        MODEL_TENSOR.ATTN_Q_B: (
+            "model.layers.{bid}.self_attn.q_b_proj", # deepseek2
+        ),
+
+        MODEL_TENSOR.ATTN_KV_A_MQA: (
+            "model.layers.{bid}.self_attn.kv_a_proj_with_mqa", # deepseek2
+        ),
+
+        MODEL_TENSOR.ATTN_KV_B: (
+            "model.layers.{bid}.self_attn.kv_b_proj", # deepseek2
+        ),
+
+        MODEL_TENSOR.ATTN_Q_A_NORM: (
+            "model.layers.{bid}.self_attn.q_a_layernorm", # deepseek2
+        ),
+
+        MODEL_TENSOR.ATTN_KV_A_NORM: (
+            "model.layers.{bid}.self_attn.kv_a_layernorm", # deepseek2
+        ),
+    }
+
+    # architecture-specific block mappings
+    arch_block_mappings_cfg: dict[MODEL_ARCH, dict[MODEL_TENSOR, tuple[str, ...]]] = {
+        MODEL_ARCH.ARCTIC: {
+            MODEL_TENSOR.FFN_NORM: (
+                "model.layers.{bid}.residual_layernorm",
+            ),
+            MODEL_TENSOR.FFN_NORM_EXP: (
+                "model.layers.{bid}.post_attention_layernorm",
+            ),
+        },
     }
 
     mapping: dict[str, tuple[MODEL_TENSOR, str]]
@@ -393,12 +438,14 @@ class TensorNameMap:
             self.mapping[tensor_name] = (tensor, tensor_name)
             for key in keys:
                 self.mapping[key] = (tensor, tensor_name)
+        if arch in self.arch_block_mappings_cfg:
+            self.block_mappings_cfg.update(self.arch_block_mappings_cfg[arch])
         for bid in range(n_blocks):
             for tensor, keys in self.block_mappings_cfg.items():
                 if tensor not in MODEL_TENSORS[arch]:
                     continue
                 # TODO: make this configurable
-                n_experts = 60
+                n_experts = 160
                 for xid in range(n_experts):
                     tensor_name = TENSOR_NAMES[tensor].format(bid = bid, xid = xid)
                     self.mapping[tensor_name] = (tensor, tensor_name)
diff --git a/gguf-py/gguf/vocab.py b/gguf-py/gguf/vocab.py
index 3ba99be4f..dc5749913 100644
--- a/gguf-py/gguf/vocab.py
+++ b/gguf-py/gguf/vocab.py
@@ -1,10 +1,15 @@
 from __future__ import annotations
 
+import re
 import logging
 import json
 import os
 from pathlib import Path
-from typing import Any, Callable, Sequence, Mapping, Iterable
+from typing import Any, Callable, Sequence, Mapping, Iterable, Protocol, ClassVar, runtime_checkable
+
+from sentencepiece import SentencePieceProcessor
+
+import gguf
 
 from .gguf_writer import GGUFWriter
 
@@ -163,3 +168,298 @@ class SpecialVocab:
         for typ in self.special_token_types:
             self._set_special_token(typ, config.get(f'{typ}_token_id'))
         return True
+
+
+@runtime_checkable
+class BaseVocab(Protocol):
+    tokenizer_model: ClassVar[str]
+    name: ClassVar[str]
+
+
+@runtime_checkable
+class Vocab(BaseVocab, Protocol):
+    vocab_size: int
+    added_tokens_dict: dict[str, int]
+    added_tokens_list: list[str]
+    fname_tokenizer: Path
+
+    def __init__(self, base_path: Path): ...
+    def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]: ...
+
+
+class NoVocab(BaseVocab):
+    tokenizer_model = "no_vocab"
+    name = "no_vocab"
+
+    def __repr__(self) -> str:
+        return "<NoVocab for a model without integrated vocabulary>"
+
+
+class BpeVocab(Vocab):
+    tokenizer_model = "gpt2"
+    name = "bpe"
+
+    def __init__(self, base_path: Path):
+        added_tokens: dict[str, int] = {}
+
+        if (fname_tokenizer := base_path / 'vocab.json').exists():
+            # "slow" tokenizer
+            with open(fname_tokenizer, encoding="utf-8") as f:
+                self.vocab = json.load(f)
+
+            try:
+                # FIXME: Verify that added tokens here _cannot_ overlap with the main vocab.
+                with open(base_path / 'added_tokens.json', encoding="utf-8") as f:
+                    added_tokens = json.load(f)
+            except FileNotFoundError:
+                pass
+        else:
+            # "fast" tokenizer
+            fname_tokenizer = base_path / 'tokenizer.json'
+
+            # if this fails, FileNotFoundError propagates to caller
+            with open(fname_tokenizer, encoding="utf-8") as f:
+                tokenizer_json = json.load(f)
+
+            tokenizer_model: dict[str, Any] = tokenizer_json['model']
+            if (
+                tokenizer_model['type'] != 'BPE' or tokenizer_model.get('byte_fallback', False)
+                or tokenizer_json['decoder']['type'] != 'ByteLevel'
+            ):
+                raise FileNotFoundError('Cannot find GPT-2 BPE tokenizer')
+
+            self.vocab = tokenizer_model["vocab"]
+
+            if (added := tokenizer_json.get('added_tokens')) is not None:
+                # Added tokens here can be duplicates of the main vocabulary.
+                added_tokens = {item['content']: item['id']
+                                for item in added
+                                if item['content'] not in self.vocab}
+
+        vocab_size   = len(self.vocab)
+        expected_ids = list(range(vocab_size, vocab_size + len(added_tokens)))
+        actual_ids   = sorted(added_tokens.values())
+        if expected_ids != actual_ids:
+            expected_end_id = vocab_size + len(actual_ids) - 1
+            raise ValueError(f"Expected the {len(actual_ids)} added token ID(s) to be sequential in the range "
+                             f"{vocab_size} - {expected_end_id}; got {actual_ids}")
+
+        items = sorted(added_tokens.items(), key=lambda text_idx: text_idx[1])
+        self.added_tokens_dict    = added_tokens
+        self.added_tokens_list    = [text for (text, idx) in items]
+        self.vocab_size_base      = vocab_size
+        self.vocab_size           = self.vocab_size_base + len(self.added_tokens_list)
+        self.fname_tokenizer      = fname_tokenizer
+
+    def bpe_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
+        reverse_vocab = {id: encoded_tok for encoded_tok, id in self.vocab.items()}
+
+        for i, _ in enumerate(self.vocab):
+            yield reverse_vocab[i], 0.0, gguf.TokenType.NORMAL
+
+    def added_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
+        for text in self.added_tokens_list:
+            score = -1000.0
+            yield text.encode("utf-8"), score, gguf.TokenType.CONTROL
+
+    def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
+        yield from self.bpe_tokens()
+        yield from self.added_tokens()
+
+    def __repr__(self) -> str:
+        return f"<BpeVocab with {self.vocab_size_base} base tokens and {len(self.added_tokens_list)} added tokens>"
+
+
+class SentencePieceVocab(Vocab):
+    tokenizer_model = "llama"
+    name = "spm"
+
+    def __init__(self, base_path: Path):
+        added_tokens: dict[str, int] = {}
+        if (fname_tokenizer := base_path / 'tokenizer.model').exists():
+            # normal location
+            try:
+                with open(base_path / 'added_tokens.json', encoding="utf-8") as f:
+                    added_tokens = json.load(f)
+            except FileNotFoundError:
+                pass
+        elif not (fname_tokenizer := base_path.parent / 'tokenizer.model').exists():
+            # not found in alternate location either
+            raise FileNotFoundError('Cannot find tokenizer.model')
+
+        self.sentencepiece_tokenizer = SentencePieceProcessor()
+        self.sentencepiece_tokenizer.LoadFromFile(str(fname_tokenizer))
+        vocab_size = self.sentencepiece_tokenizer.vocab_size()
+
+        new_tokens       = {id: piece for piece, id in added_tokens.items() if id >= vocab_size}
+        expected_new_ids = list(range(vocab_size, vocab_size + len(new_tokens)))
+        actual_new_ids   = sorted(new_tokens.keys())
+
+        if expected_new_ids != actual_new_ids:
+            raise ValueError(f"Expected new token IDs {expected_new_ids} to be sequential; got {actual_new_ids}")
+
+        # Token pieces that were added to the base vocabulary.
+        self.added_tokens_dict  = added_tokens
+        self.added_tokens_list  = [new_tokens[id] for id in actual_new_ids]
+        self.vocab_size_base    = vocab_size
+        self.vocab_size         = self.vocab_size_base + len(self.added_tokens_list)
+        self.fname_tokenizer    = fname_tokenizer
+
+    def sentencepiece_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
+        tokenizer = self.sentencepiece_tokenizer
+        for i in range(tokenizer.vocab_size()):
+            piece = tokenizer.IdToPiece(i)
+            text         = piece.encode("utf-8")
+            score: float = tokenizer.GetScore(i)
+
+            toktype = gguf.TokenType.NORMAL
+            if tokenizer.IsUnknown(i):
+                toktype = gguf.TokenType.UNKNOWN
+            if tokenizer.IsControl(i):
+                toktype = gguf.TokenType.CONTROL
+
+            # NOTE: I think added_tokens are user defined.
+            # ref: https://github.com/google/sentencepiece/blob/master/src/sentencepiece_model.proto
+            # if tokenizer.is_user_defined(i): toktype = gguf.TokenType.USER_DEFINED
+
+            if tokenizer.IsUnused(i):
+                toktype = gguf.TokenType.UNUSED
+            if tokenizer.IsByte(i):
+                toktype = gguf.TokenType.BYTE
+
+            yield text, score, toktype
+
+    def added_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
+        for text in self.added_tokens_list:
+            score = -1000.0
+            yield text.encode("utf-8"), score, gguf.TokenType.USER_DEFINED
+
+    def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
+        yield from self.sentencepiece_tokens()
+        yield from self.added_tokens()
+
+    def __repr__(self) -> str:
+        return f"<SentencePieceVocab with {self.vocab_size_base} base tokens and {len(self.added_tokens_list)} added tokens>"
+
+
+class LlamaHfVocab(Vocab):
+    tokenizer_model = "llama"
+    name = "hfft"
+
+    def __init__(self, base_path: Path):
+        fname_tokenizer = base_path / 'tokenizer.json'
+        # if this fails, FileNotFoundError propagates to caller
+        with open(fname_tokenizer, encoding='utf-8') as f:
+            tokenizer_json = json.load(f)
+
+        # pre-check so we know if we need transformers
+        tokenizer_model: dict[str, Any] = tokenizer_json['model']
+        is_llama3 = (
+            tokenizer_model['type'] == 'BPE' and tokenizer_model.get('ignore_merges', False)
+            and not tokenizer_model.get('byte_fallback', True)
+        )
+        if is_llama3:
+            raise TypeError('Llama 3 must be converted with BpeVocab')
+
+        if not is_llama3 and (
+            tokenizer_model['type'] != 'BPE' or not tokenizer_model.get('byte_fallback', False)
+            or tokenizer_json['decoder']['type'] != 'Sequence'
+        ):
+            raise FileNotFoundError('Cannot find Llama BPE tokenizer')
+
+        try:
+            from transformers import AutoTokenizer
+        except ImportError as e:
+            raise ImportError(
+                "To use LlamaHfVocab, please install the `transformers` package. "
+                "You can install it with `pip install transformers`."
+            ) from e
+
+        # Allow the tokenizer to default to slow or fast versions.
+        # Explicitly set tokenizer to use local paths.
+        self.tokenizer = AutoTokenizer.from_pretrained(
+            base_path,
+            cache_dir=base_path,
+            local_files_only=True,
+        )
+        assert self.tokenizer.is_fast  # assume tokenizer.json is used
+
+        # Initialize lists and dictionaries for added tokens
+        self.added_tokens_list = []
+        self.added_tokens_dict = dict()
+        self.added_tokens_ids  = set()
+
+        # Process added tokens
+        for tok, tokidx in sorted(
+            self.tokenizer.get_added_vocab().items(), key=lambda x: x[1]
+        ):
+            # Only consider added tokens that are not in the base vocabulary
+            if tokidx >= self.tokenizer.vocab_size:
+                self.added_tokens_list.append(tok)
+                self.added_tokens_dict[tok] = tokidx
+                self.added_tokens_ids.add(tokidx)
+
+        # Store special tokens and their IDs
+        self.specials = {
+            tok: self.tokenizer.get_vocab()[tok]
+            for tok in self.tokenizer.all_special_tokens
+        }
+        self.special_ids = set(self.tokenizer.all_special_ids)
+
+        # Set vocabulary sizes
+        self.vocab_size_base = self.tokenizer.vocab_size
+        self.vocab_size      = self.vocab_size_base + len(self.added_tokens_list)
+
+        self.fname_tokenizer = fname_tokenizer
+
+    def hf_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
+        reverse_vocab = {
+            id: encoded_tok for encoded_tok, id in self.tokenizer.get_vocab().items()
+        }
+
+        for token_id in range(self.vocab_size_base):
+            # Skip processing added tokens here
+            if token_id in self.added_tokens_ids:
+                continue
+
+            # Convert token text to bytes
+            token_text = reverse_vocab[token_id].encode("utf-8")
+
+            # Yield token text, score, and type
+            yield token_text, self.get_token_score(token_id), self.get_token_type(
+                token_id, token_text, self.special_ids  # Reuse already stored special IDs
+            )
+
+    def get_token_type(self, token_id: int, token_text: bytes, special_ids: set[int]) -> gguf.TokenType:
+        # Special case for byte tokens
+        if re.fullmatch(br"<0x[0-9A-Fa-f]{2}>", token_text):
+            return gguf.TokenType.BYTE
+
+        # Determine token type based on whether it's a special token
+        return gguf.TokenType.CONTROL if token_id in special_ids else gguf.TokenType.NORMAL
+
+    def get_token_score(self, token_id: int) -> float:
+        # Placeholder for actual logic to determine the token's score
+        # This needs to be implemented based on specific requirements
+        return -1000.0  # Default score
+
+    def added_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
+        for text in self.added_tokens_list:
+            if text in self.specials:
+                toktype = self.get_token_type(self.specials[text], b'', self.special_ids)
+                score = self.get_token_score(self.specials[text])
+            else:
+                toktype = gguf.TokenType.USER_DEFINED
+                score = -1000.0
+
+            yield text.encode("utf-8"), score, toktype
+
+    def has_newline_token(self):
+        return "<0x0A>" in self.tokenizer.vocab or "\n" in self.tokenizer.vocab
+
+    def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
+        yield from self.hf_tokens()
+        yield from self.added_tokens()
+
+    def __repr__(self) -> str:
+        return f"<LlamaHfVocab with {self.vocab_size_base} base tokens and {len(self.added_tokens_list)} added tokens>"
diff --git a/gguf-py/scripts/gguf-new-metadata.py b/gguf-py/scripts/gguf-new-metadata.py
index 63d3c5d8f..21e91180c 100755
--- a/gguf-py/scripts/gguf-new-metadata.py
+++ b/gguf-py/scripts/gguf-new-metadata.py
@@ -118,9 +118,7 @@ def copy_with_new_metadata(reader: gguf.GGUFReader, writer: gguf.GGUFWriter, new
 
     for tensor in reader.tensors:
         total_bytes += tensor.n_bytes
-        # Dimensions are written in reverse order, so flip them first
-        shape = np.flipud(tensor.shape).tolist()
-        writer.add_tensor_info(tensor.name, shape, tensor.data.dtype, tensor.data.nbytes, tensor.tensor_type)
+        writer.add_tensor_info(tensor.name, tensor.data.shape, tensor.data.dtype, tensor.data.nbytes, tensor.tensor_type)
 
     bar = tqdm(desc="Writing", total=total_bytes, unit="byte", unit_scale=True)
 
@@ -146,6 +144,7 @@ def main() -> None:
     parser.add_argument("--general-description",                       type=str,  help="The models general.description", metavar='"Description ..."')
     parser.add_argument("--chat-template",                             type=str,  help="Chat template string (or JSON string containing templates)", metavar='"{% ... %} ..."')
     parser.add_argument("--chat-template-config",                      type=Path, help="Config file containing chat template(s)", metavar='tokenizer_config.json')
+    parser.add_argument("--pre-tokenizer",                             type=str,  help="The models tokenizer.ggml.pre", metavar='"pre tokenizer"')
     parser.add_argument("--remove-metadata",      action="append",     type=str,  help="Remove metadata (by key name) from output model", metavar='general.url')
     parser.add_argument("--special-token",        action="append",     type=str,  help="Special token by value", nargs=2, metavar=(' | '.join(token_names.keys()), '"<token>"'))
     parser.add_argument("--special-token-by-id",  action="append",     type=str,  help="Special token by id", nargs=2, metavar=(' | '.join(token_names.keys()), '0'))
@@ -174,6 +173,9 @@ def main() -> None:
             if template:
                 new_metadata[gguf.Keys.Tokenizer.CHAT_TEMPLATE] = MetadataDetails(gguf.GGUFValueType.STRING, template)
 
+    if args.pre_tokenizer:
+        new_metadata[gguf.Keys.Tokenizer.PRE] = MetadataDetails(gguf.GGUFValueType.STRING, args.pre_tokenizer)
+
     if remove_metadata:
         logger.warning('*** Warning *** Warning *** Warning **')
         logger.warning('* Most metadata is required for a fully functional GGUF file,')
diff --git a/kompute-shaders/op_getrows_f32.comp b/kompute-shaders/op_getrows_f32.comp
new file mode 100644
index 000000000..9d7acdaf8
--- /dev/null
+++ b/kompute-shaders/op_getrows_f32.comp
@@ -0,0 +1,31 @@
+#version 450
+
+#include "common.comp"
+
+layout(local_size_x = 1) in;
+
+layout (binding = 0) readonly buffer tensorInA { float inA[]; };
+layout (binding = 1) readonly buffer tensorInB { int inB[]; };
+layout (binding = 2) writeonly buffer tensorOut { float out_[]; };
+
+layout (push_constant) uniform parameter {
+    uint inAOff;
+    uint inBOff;
+    uint outOff;
+    int ne00;
+    int nb01;
+    int nb1;
+} pcs;
+
+void dequantize_row_f32(uint x /*Based from inA unaligned*/, uint y /*Based from out_*/, int k) {
+    for (int j = 0; j < k; j++) {
+        out_[y + j] = inA[x + j];
+    }
+}
+
+void main() {
+    const uint i = gl_WorkGroupID.x;
+    const int r = inB[i + pcs.inBOff];
+
+    dequantize_row_f32(r*pcs.nb01/4 + pcs.inAOff, i*pcs.nb1/4 + pcs.outOff, pcs.ne00);
+}
diff --git a/kompute-shaders/op_rope_f16.comp b/kompute-shaders/op_rope_f16.comp
index b44622584..1a4058b3f 100644
--- a/kompute-shaders/op_rope_f16.comp
+++ b/kompute-shaders/op_rope_f16.comp
@@ -14,7 +14,7 @@ void main() {
     const bool is_neox = (pcs.mode & 2) != 0;
 
     float corr_dims[2];
-    rope_yarn_corr_dims(pcs.n_dims, pcs.n_orig_ctx, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
+    rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
 
     const float theta_scale = pow(pcs.freq_base, -2.0/pcs.n_dims);
 
diff --git a/kompute-shaders/op_rope_f32.comp b/kompute-shaders/op_rope_f32.comp
index 2c0235d75..65e03827a 100644
--- a/kompute-shaders/op_rope_f32.comp
+++ b/kompute-shaders/op_rope_f32.comp
@@ -14,7 +14,7 @@ void main() {
     const bool is_neox = (pcs.mode & 2) != 0;
 
     float corr_dims[2];
-    rope_yarn_corr_dims(pcs.n_dims, pcs.n_orig_ctx, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
+    rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
 
     const float theta_scale = pow(pcs.freq_base, -2.0/pcs.n_dims);
 
diff --git a/kompute-shaders/rope_common.comp b/kompute-shaders/rope_common.comp
index 57ba6597a..7b9394cb2 100644
--- a/kompute-shaders/rope_common.comp
+++ b/kompute-shaders/rope_common.comp
@@ -9,7 +9,7 @@ layout (push_constant) uniform parameter {
     uint outOff;
     int n_dims;
     int mode;
-    int n_orig_ctx;
+    int n_ctx_orig;
     float freq_base;
     float freq_scale;
     float ext_factor;
@@ -54,14 +54,14 @@ void rope_yarn(
 
 // Apparently solving `n_rot = 2pi * x * base^((2 * max_pos_emb) / n_dims)` for x, we get
 // `corr_fac(n_rot) = n_dims * log(max_pos_emb / (n_rot * 2pi)) / (2 * log(base))`
-float rope_yarn_corr_factor(int n_dims, int n_orig_ctx, float n_rot, float base) {
-    return n_dims * log(n_orig_ctx / (n_rot * TWOPI_F)) / (2 * log(base));
+float rope_yarn_corr_factor(int n_dims, int n_ctx_orig, float n_rot, float base) {
+    return n_dims * log(n_ctx_orig / (n_rot * TWOPI_F)) / (2 * log(base));
 }
 
 void rope_yarn_corr_dims(
-    int n_dims, int n_orig_ctx, float freq_base, float beta_fast, float beta_slow, out float dims[2]
+    int n_dims, int n_ctx_orig, float freq_base, float beta_fast, float beta_slow, out float dims[2]
 ) {
     // start and end correction dims
-    dims[0] = max(0.0f,         floor(rope_yarn_corr_factor(n_dims, n_orig_ctx, beta_fast, freq_base)));
-    dims[1] = min(n_dims - 1.0f, ceil(rope_yarn_corr_factor(n_dims, n_orig_ctx, beta_slow, freq_base)));
+    dims[0] = max(0.0f,         floor(rope_yarn_corr_factor(n_dims, n_ctx_orig, beta_fast, freq_base)));
+    dims[1] = min(n_dims - 1.0f, ceil(rope_yarn_corr_factor(n_dims, n_ctx_orig, beta_slow, freq_base)));
 }
diff --git a/llama.cpp b/llama.cpp
index 360d7eb90..20ac0f916 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -7,10 +7,12 @@
 #include "ggml-alloc.h"
 #include "ggml-backend.h"
 
+#ifdef GGML_USE_RPC
+#  include "ggml-rpc.h"
+#endif
+
 #ifdef GGML_USE_CUDA
 #  include "ggml-cuda.h"
-#elif defined(GGML_USE_CLBLAST)
-#  include "ggml-opencl.h"
 #elif defined(GGML_USE_VULKAN)
 #  include "ggml-vulkan.h"
 #elif defined(GGML_USE_SYCL)
@@ -22,16 +24,9 @@
 #ifdef GGML_USE_METAL
 #  include "ggml-metal.h"
 #endif
-#ifdef GGML_USE_MPI
-#  include "ggml-mpi.h"
-#endif
-#ifndef QK_K
-#  ifdef GGML_QKK_64
-#    define QK_K 64
-#  else
-#    define QK_K 256
-#  endif
-#endif
+
+// TODO: replace with ggml API call
+#define QK_K 256
 
 #ifdef __has_include
     #if __has_include(<unistd.h>)
@@ -106,14 +101,14 @@
 #endif
 
 #define LLAMA_MAX_NODES   8192
-#define LLAMA_MAX_EXPERTS 60
+#define LLAMA_MAX_EXPERTS 160
 
 //
 // logging
 //
 
 LLAMA_ATTRIBUTE_FORMAT(2, 3)
-static void llama_log_internal        (ggml_log_level level, const char* format, ...);
+static void llama_log_internal        (ggml_log_level level, const char * format, ...);
 static void llama_log_callback_default(ggml_log_level level, const char * text, void * user_data);
 
 #define LLAMA_LOG_INFO(...)  llama_log_internal(GGML_LOG_LEVEL_INFO , __VA_ARGS__)
@@ -201,7 +196,6 @@ enum llm_arch {
     LLM_ARCH_GPTNEOX,
     LLM_ARCH_MPT,
     LLM_ARCH_STARCODER,
-    LLM_ARCH_PERSIMMON,
     LLM_ARCH_REFACT,
     LLM_ARCH_BERT,
     LLM_ARCH_NOMIC_BERT,
@@ -225,6 +219,8 @@ enum llm_arch {
     LLM_ARCH_COMMAND_R,
     LLM_ARCH_DBRX,
     LLM_ARCH_OLMO,
+    LLM_ARCH_ARCTIC,
+    LLM_ARCH_DEEPSEEK2,
     LLM_ARCH_UNKNOWN,
 };
 
@@ -238,7 +234,6 @@ static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
     { LLM_ARCH_MPT,             "mpt"          },
     { LLM_ARCH_BAICHUAN,        "baichuan"     },
     { LLM_ARCH_STARCODER,       "starcoder"    },
-    { LLM_ARCH_PERSIMMON,       "persimmon"    },
     { LLM_ARCH_REFACT,          "refact"       },
     { LLM_ARCH_BERT,            "bert"         },
     { LLM_ARCH_NOMIC_BERT,      "nomic-bert"   },
@@ -262,6 +257,8 @@ static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
     { LLM_ARCH_COMMAND_R,       "command-r"    },
     { LLM_ARCH_DBRX,            "dbrx"         },
     { LLM_ARCH_OLMO,            "olmo"         },
+    { LLM_ARCH_ARCTIC,          "arctic"       },
+    { LLM_ARCH_DEEPSEEK2,       "deepseek2"    },
     { LLM_ARCH_UNKNOWN,         "(unknown)"    },
 };
 
@@ -282,11 +279,15 @@ enum llm_kv {
     LLM_KV_CONTEXT_LENGTH,
     LLM_KV_EMBEDDING_LENGTH,
     LLM_KV_BLOCK_COUNT,
+    LLM_KV_LEADING_DENSE_BLOCK_COUNT,
     LLM_KV_FEED_FORWARD_LENGTH,
+    LLM_KV_EXPERT_FEED_FORWARD_LENGTH,
     LLM_KV_USE_PARALLEL_RESIDUAL,
     LLM_KV_TENSOR_DATA_LAYOUT,
     LLM_KV_EXPERT_COUNT,
     LLM_KV_EXPERT_USED_COUNT,
+    LLM_KV_EXPERT_SHARED_COUNT,
+    LLM_KV_EXPERT_WEIGHTS_SCALE,
     LLM_KV_POOLING_TYPE,
     LLM_KV_LOGIT_SCALE,
 
@@ -299,14 +300,18 @@ enum llm_kv {
     LLM_KV_ATTENTION_LAYERNORM_EPS,
     LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,
     LLM_KV_ATTENTION_CAUSAL,
+    LLM_KV_ATTENTION_Q_LORA_RANK,
+    LLM_KV_ATTENTION_KV_LORA_RANK,
 
     LLM_KV_ROPE_DIMENSION_COUNT,
     LLM_KV_ROPE_FREQ_BASE,
     LLM_KV_ROPE_SCALE_LINEAR,
     LLM_KV_ROPE_SCALING_TYPE,
     LLM_KV_ROPE_SCALING_FACTOR,
+    LLM_KV_ROPE_SCALING_ATTN_FACTOR,
     LLM_KV_ROPE_SCALING_ORIG_CTX_LEN,
     LLM_KV_ROPE_SCALING_FINETUNED,
+    LLM_KV_ROPE_SCALING_YARN_LOG_MUL,
 
     LLM_KV_SPLIT_NO,
     LLM_KV_SPLIT_COUNT,
@@ -355,17 +360,21 @@ static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
     { LLM_KV_GENERAL_SOURCE_URL,            "general.source.url"                    },
     { LLM_KV_GENERAL_SOURCE_HF_REPO,        "general.source.huggingface.repository" },
 
-    { LLM_KV_VOCAB_SIZE,                    "%s.vocab_size"            },
-    { LLM_KV_CONTEXT_LENGTH,                "%s.context_length"        },
-    { LLM_KV_EMBEDDING_LENGTH,              "%s.embedding_length"      },
-    { LLM_KV_BLOCK_COUNT,                   "%s.block_count"           },
-    { LLM_KV_FEED_FORWARD_LENGTH,           "%s.feed_forward_length"   },
-    { LLM_KV_USE_PARALLEL_RESIDUAL,         "%s.use_parallel_residual" },
-    { LLM_KV_TENSOR_DATA_LAYOUT,            "%s.tensor_data_layout"    },
-    { LLM_KV_EXPERT_COUNT,                  "%s.expert_count"          },
-    { LLM_KV_EXPERT_USED_COUNT,             "%s.expert_used_count"     },
-    { LLM_KV_POOLING_TYPE ,                 "%s.pooling_type"          },
-    { LLM_KV_LOGIT_SCALE,                   "%s.logit_scale"           },
+    { LLM_KV_VOCAB_SIZE,                    "%s.vocab_size"                 },
+    { LLM_KV_CONTEXT_LENGTH,                "%s.context_length"             },
+    { LLM_KV_EMBEDDING_LENGTH,              "%s.embedding_length"           },
+    { LLM_KV_BLOCK_COUNT,                   "%s.block_count"                },
+    { LLM_KV_LEADING_DENSE_BLOCK_COUNT,     "%s.leading_dense_block_count"  },
+    { LLM_KV_FEED_FORWARD_LENGTH,           "%s.feed_forward_length"        },
+    { LLM_KV_EXPERT_FEED_FORWARD_LENGTH,    "%s.expert_feed_forward_length" },
+    { LLM_KV_USE_PARALLEL_RESIDUAL,         "%s.use_parallel_residual"      },
+    { LLM_KV_TENSOR_DATA_LAYOUT,            "%s.tensor_data_layout"         },
+    { LLM_KV_EXPERT_COUNT,                  "%s.expert_count"               },
+    { LLM_KV_EXPERT_USED_COUNT,             "%s.expert_used_count"          },
+    { LLM_KV_EXPERT_SHARED_COUNT,           "%s.expert_shared_count"        },
+    { LLM_KV_EXPERT_WEIGHTS_SCALE,          "%s.expert_weights_scale"       },
+    { LLM_KV_POOLING_TYPE ,                 "%s.pooling_type"               },
+    { LLM_KV_LOGIT_SCALE,                   "%s.logit_scale"                },
 
     { LLM_KV_ATTENTION_HEAD_COUNT,          "%s.attention.head_count"             },
     { LLM_KV_ATTENTION_HEAD_COUNT_KV,       "%s.attention.head_count_kv"          },
@@ -376,14 +385,18 @@ static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
     { LLM_KV_ATTENTION_LAYERNORM_EPS,       "%s.attention.layer_norm_epsilon"     },
     { LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,   "%s.attention.layer_norm_rms_epsilon" },
     { LLM_KV_ATTENTION_CAUSAL,              "%s.attention.causal"                 },
+    { LLM_KV_ATTENTION_Q_LORA_RANK,         "%s.attention.q_lora_rank"            },
+    { LLM_KV_ATTENTION_KV_LORA_RANK,        "%s.attention.kv_lora_rank"           },
 
     { LLM_KV_ROPE_DIMENSION_COUNT,          "%s.rope.dimension_count"                 },
     { LLM_KV_ROPE_FREQ_BASE,                "%s.rope.freq_base"                       },
     { LLM_KV_ROPE_SCALE_LINEAR,             "%s.rope.scale_linear"                    },
     { LLM_KV_ROPE_SCALING_TYPE,             "%s.rope.scaling.type"                    },
     { LLM_KV_ROPE_SCALING_FACTOR,           "%s.rope.scaling.factor"                  },
+    { LLM_KV_ROPE_SCALING_ATTN_FACTOR,      "%s.rope.scaling.attn_factor"             },
     { LLM_KV_ROPE_SCALING_ORIG_CTX_LEN,     "%s.rope.scaling.original_context_length" },
     { LLM_KV_ROPE_SCALING_FINETUNED,        "%s.rope.scaling.finetuned"               },
+    { LLM_KV_ROPE_SCALING_YARN_LOG_MUL,     "%s.rope.scaling.yarn_log_multiplier"     },
 
     { LLM_KV_SPLIT_NO,                      "split.no"            },
     { LLM_KV_SPLIT_COUNT,                   "split.count"         },
@@ -437,6 +450,8 @@ enum llm_tensor {
     LLM_TENSOR_OUTPUT,
     LLM_TENSOR_OUTPUT_NORM,
     LLM_TENSOR_ROPE_FREQS,
+    LLM_TENSOR_ROPE_FACTORS_LONG,
+    LLM_TENSOR_ROPE_FACTORS_SHORT,
     LLM_TENSOR_ATTN_Q,
     LLM_TENSOR_ATTN_K,
     LLM_TENSOR_ATTN_V,
@@ -456,6 +471,7 @@ enum llm_tensor {
     LLM_TENSOR_FFN_DOWN_EXP,  // split experts for backward compatibility
     LLM_TENSOR_FFN_GATE_EXP,
     LLM_TENSOR_FFN_UP_EXP,
+    LLM_TENSOR_FFN_NORM_EXPS,
     LLM_TENSOR_FFN_DOWN_EXPS, // merged experts
     LLM_TENSOR_FFN_GATE_EXPS,
     LLM_TENSOR_FFN_UP_EXPS,
@@ -472,6 +488,12 @@ enum llm_tensor {
     LLM_TENSOR_SSM_A,
     LLM_TENSOR_SSM_D,
     LLM_TENSOR_SSM_OUT,
+    LLM_TENSOR_ATTN_Q_A,
+    LLM_TENSOR_ATTN_Q_B,
+    LLM_TENSOR_ATTN_KV_A_MQA,
+    LLM_TENSOR_ATTN_KV_B,
+    LLM_TENSOR_ATTN_Q_A_NORM,
+    LLM_TENSOR_ATTN_KV_A_NORM,
 };
 
 static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NAMES = {
@@ -594,23 +616,6 @@ static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NA
             { LLM_TENSOR_FFN_UP,          "blk.%d.ffn_up" },
         },
     },
-    {
-        LLM_ARCH_PERSIMMON,
-        {
-            { LLM_TENSOR_TOKEN_EMBD,      "token_embd"},
-            { LLM_TENSOR_OUTPUT_NORM,     "output_norm"},
-            { LLM_TENSOR_OUTPUT,          "output"},
-            { LLM_TENSOR_ATTN_NORM,       "blk.%d.attn_norm"},
-            { LLM_TENSOR_ATTN_QKV,        "blk.%d.attn_qkv"},
-            { LLM_TENSOR_ATTN_OUT,        "blk.%d.attn_output"},
-            { LLM_TENSOR_ATTN_Q_NORM,     "blk.%d.attn_q_norm"},
-            { LLM_TENSOR_ATTN_K_NORM,     "blk.%d.attn_k_norm"},
-            { LLM_TENSOR_FFN_NORM,        "blk.%d.ffn_norm"},
-            { LLM_TENSOR_FFN_DOWN,        "blk.%d.ffn_down"},
-            { LLM_TENSOR_FFN_UP,          "blk.%d.ffn_up"},
-            { LLM_TENSOR_ATTN_ROT_EMBD,   "blk.%d.attn_rot_embd"},
-        },
-    },
     {
         LLM_ARCH_MPT,
         {
@@ -710,6 +715,7 @@ static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NA
             { LLM_TENSOR_FFN_DOWN,        "blk.%d.ffn_down" },
             { LLM_TENSOR_FFN_GATE,        "blk.%d.ffn_gate" },
             { LLM_TENSOR_FFN_UP,          "blk.%d.ffn_up" },
+            { LLM_TENSOR_ATTN_NORM_2,     "blk.%d.attn_norm_2" },
         },
     },
     {
@@ -821,18 +827,20 @@ static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NA
     {
         LLM_ARCH_PHI3,
         {
-            { LLM_TENSOR_TOKEN_EMBD,      "token_embd" },
-            { LLM_TENSOR_OUTPUT_NORM,     "output_norm" },
-            { LLM_TENSOR_OUTPUT,          "output" },
-            { LLM_TENSOR_ATTN_NORM,       "blk.%d.attn_norm" },
-            { LLM_TENSOR_ATTN_QKV,        "blk.%d.attn_qkv" },
-            { LLM_TENSOR_ATTN_Q,          "blk.%d.attn_q" },
-            { LLM_TENSOR_ATTN_K,          "blk.%d.attn_k" },
-            { LLM_TENSOR_ATTN_V,          "blk.%d.attn_v" },
-            { LLM_TENSOR_ATTN_OUT,        "blk.%d.attn_output" },
-            { LLM_TENSOR_FFN_NORM,        "blk.%d.ffn_norm" },
-            { LLM_TENSOR_FFN_DOWN,        "blk.%d.ffn_down" },
-            { LLM_TENSOR_FFN_UP,          "blk.%d.ffn_up" },
+            { LLM_TENSOR_TOKEN_EMBD,         "token_embd" },
+            { LLM_TENSOR_OUTPUT_NORM,        "output_norm" },
+            { LLM_TENSOR_OUTPUT,             "output" },
+            { LLM_TENSOR_ROPE_FACTORS_LONG,  "rope_factors_long" },
+            { LLM_TENSOR_ROPE_FACTORS_SHORT, "rope_factors_short" },
+            { LLM_TENSOR_ATTN_NORM,          "blk.%d.attn_norm" },
+            { LLM_TENSOR_ATTN_QKV,           "blk.%d.attn_qkv" },
+            { LLM_TENSOR_ATTN_Q,             "blk.%d.attn_q" },
+            { LLM_TENSOR_ATTN_K,             "blk.%d.attn_k" },
+            { LLM_TENSOR_ATTN_V,             "blk.%d.attn_v" },
+            { LLM_TENSOR_ATTN_OUT,           "blk.%d.attn_output" },
+            { LLM_TENSOR_FFN_NORM,           "blk.%d.ffn_norm" },
+            { LLM_TENSOR_FFN_DOWN,           "blk.%d.ffn_down" },
+            { LLM_TENSOR_FFN_UP,             "blk.%d.ffn_up" },
         },
     },
     {
@@ -1048,6 +1056,57 @@ static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NA
             { LLM_TENSOR_FFN_UP,          "blk.%d.ffn_up" },
         },
     },
+    {
+        LLM_ARCH_ARCTIC,
+        {
+            { LLM_TENSOR_TOKEN_EMBD,      "token_embd" },
+            { LLM_TENSOR_OUTPUT_NORM,     "output_norm" },
+            { LLM_TENSOR_OUTPUT,          "output" },
+            { LLM_TENSOR_ATTN_NORM,       "blk.%d.attn_norm" },
+            { LLM_TENSOR_ATTN_Q,          "blk.%d.attn_q" },
+            { LLM_TENSOR_ATTN_K,          "blk.%d.attn_k" },
+            { LLM_TENSOR_ATTN_V,          "blk.%d.attn_v" },
+            { LLM_TENSOR_ATTN_OUT,        "blk.%d.attn_output" },
+            { LLM_TENSOR_FFN_GATE_INP,    "blk.%d.ffn_gate_inp" },
+            { LLM_TENSOR_FFN_NORM,        "blk.%d.ffn_norm" },
+            { LLM_TENSOR_FFN_GATE,        "blk.%d.ffn_gate" },
+            { LLM_TENSOR_FFN_DOWN,        "blk.%d.ffn_down" },
+            { LLM_TENSOR_FFN_UP,          "blk.%d.ffn_up" },
+            { LLM_TENSOR_FFN_NORM_EXPS,   "blk.%d.ffn_norm_exps" },
+            { LLM_TENSOR_FFN_GATE_EXPS,   "blk.%d.ffn_gate_exps" },
+            { LLM_TENSOR_FFN_DOWN_EXPS,   "blk.%d.ffn_down_exps" },
+            { LLM_TENSOR_FFN_UP_EXPS,     "blk.%d.ffn_up_exps" },
+        },
+    },
+    {
+        LLM_ARCH_DEEPSEEK2,
+        {
+            { LLM_TENSOR_TOKEN_EMBD,         "token_embd" },
+            { LLM_TENSOR_OUTPUT_NORM,        "output_norm" },
+            { LLM_TENSOR_OUTPUT,             "output" },
+            { LLM_TENSOR_ATTN_NORM,          "blk.%d.attn_norm" },
+            { LLM_TENSOR_ATTN_Q_A_NORM,      "blk.%d.attn_q_a_norm" },
+            { LLM_TENSOR_ATTN_KV_A_NORM,     "blk.%d.attn_kv_a_norm" },
+            { LLM_TENSOR_ATTN_Q,             "blk.%d.attn_q" },
+            { LLM_TENSOR_ATTN_Q_A,           "blk.%d.attn_q_a" },
+            { LLM_TENSOR_ATTN_Q_B,           "blk.%d.attn_q_b" },
+            { LLM_TENSOR_ATTN_KV_A_MQA,      "blk.%d.attn_kv_a_mqa" },
+            { LLM_TENSOR_ATTN_KV_B,          "blk.%d.attn_kv_b" },
+            { LLM_TENSOR_ATTN_OUT,           "blk.%d.attn_output" },
+            { LLM_TENSOR_FFN_NORM,           "blk.%d.ffn_norm" },
+            { LLM_TENSOR_FFN_GATE,           "blk.%d.ffn_gate" },
+            { LLM_TENSOR_FFN_UP,             "blk.%d.ffn_up" },
+            { LLM_TENSOR_FFN_DOWN,           "blk.%d.ffn_down" },
+            { LLM_TENSOR_FFN_GATE_INP,       "blk.%d.ffn_gate_inp" },
+            { LLM_TENSOR_FFN_GATE_EXPS,      "blk.%d.ffn_gate_exps" },
+            { LLM_TENSOR_FFN_DOWN_EXPS,      "blk.%d.ffn_down_exps" },
+            { LLM_TENSOR_FFN_UP_EXPS,        "blk.%d.ffn_up_exps" },
+            { LLM_TENSOR_FFN_GATE_INP_SHEXP, "blk.%d.ffn_gate_inp_shexp" },
+            { LLM_TENSOR_FFN_GATE_SHEXP,     "blk.%d.ffn_gate_shexp" },
+            { LLM_TENSOR_FFN_DOWN_SHEXP,     "blk.%d.ffn_down_shexp" },
+            { LLM_TENSOR_FFN_UP_SHEXP,       "blk.%d.ffn_up_shexp" },
+        },
+    },
     {
         LLM_ARCH_UNKNOWN,
         {
@@ -1642,12 +1701,13 @@ struct llama_mlock {
 };
 using llama_mlocks = std::vector<std::unique_ptr<llama_mlock>>;
 
-static std::string llama_token_to_piece(const struct llama_context * ctx, llama_token token, bool special) {
+// NOTE: avoid ever using this except for building the token_to_piece caches
+static std::string llama_token_to_piece(const struct llama_model * model, llama_token token, bool special) {
     std::vector<char> result(8, 0);
-    const int n_tokens = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), special);
+    const int n_tokens = llama_token_to_piece(model, token, result.data(), result.size(), special);
     if (n_tokens < 0) {
         result.resize(-n_tokens);
-        int check = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), special);
+        int check = llama_token_to_piece(model, token, result.data(), result.size(), special);
         GGML_ASSERT(check == -n_tokens);
     }
     else {
@@ -1685,91 +1745,6 @@ static ggml_backend_buffer_type_t llama_default_buffer_type_cpu(bool host_buffer
     GGML_UNUSED(host_buffer);
 }
 
-static ggml_backend_buffer_type_t llama_default_buffer_type_offload(int gpu) {
-    ggml_backend_buffer_type_t buft = nullptr;
-
-#ifdef GGML_USE_METAL
-    buft = ggml_backend_metal_buffer_type();
-#elif defined(GGML_USE_CUDA)
-    buft = ggml_backend_cuda_buffer_type(gpu);
-#elif defined(GGML_USE_VULKAN)
-    buft = ggml_backend_vk_buffer_type(gpu);
-#elif defined(GGML_USE_SYCL)
-    buft = ggml_backend_sycl_buffer_type(gpu);
-#elif defined(GGML_USE_CLBLAST)
-    buft = ggml_backend_opencl_buffer_type();
-#elif defined(GGML_USE_KOMPUTE)
-    buft = ggml_backend_kompute_buffer_type(gpu);
-    if (buft == nullptr) {
-        LLAMA_LOG_WARN("%s: cannot use GPU %d, check `vulkaninfo --summary`\n", __func__, gpu);
-    }
-#endif
-
-    if (buft == nullptr) {
-        buft = llama_default_buffer_type_cpu(true);
-    }
-    return buft;
-
-    GGML_UNUSED(gpu);
-}
-
-static ggml_backend_buffer_type_t llama_default_buffer_type_split(int fallback_gpu, const float * tensor_split) {
-    ggml_backend_buffer_type_t buft = nullptr;
-
-#ifdef GGML_USE_CUDA
-    if (ggml_backend_cuda_get_device_count() > 1) {
-        buft = ggml_backend_cuda_split_buffer_type(tensor_split);
-    }
-#endif
-
-#ifdef GGML_USE_SYCL
-    if (ggml_backend_sycl_get_device_count() > 1) {
-        buft = ggml_backend_sycl_split_buffer_type(tensor_split);
-    }
-#endif
-
-    if (buft == nullptr) {
-        buft = llama_default_buffer_type_offload(fallback_gpu);
-    }
-    return buft;
-
-    GGML_UNUSED(tensor_split);
-}
-
-static size_t llama_get_device_count() {
-#if defined(GGML_USE_CUDA)
-    return ggml_backend_cuda_get_device_count();
-#elif defined(GGML_USE_SYCL)
-    return ggml_backend_sycl_get_device_count();
-#elif defined(GGML_USE_VULKAN)
-    return ggml_backend_vk_get_device_count();
-#else
-    return 1;
-#endif
-}
-
-static size_t llama_get_device_memory(int device) {
-#if defined(GGML_USE_CUDA)
-    size_t total;
-    size_t free;
-    ggml_backend_cuda_get_device_memory(device, &free, &total);
-    return free;
-#elif defined(GGML_USE_SYCL)
-    size_t total;
-    size_t free;
-    ggml_backend_sycl_get_device_memory(device, &free, &total);
-    return free;
-#elif defined(GGML_USE_VULKAN)
-    size_t total;
-    size_t free;
-    ggml_backend_vk_get_device_memory(device, &free, &total);
-    return free;
-#else
-    return 1;
-    GGML_UNUSED(device);
-#endif
-}
-
 //
 // globals
 //
@@ -1778,6 +1753,8 @@ struct llama_state {
     llama_state() {
 #ifdef GGML_USE_METAL
         ggml_backend_metal_log_set_callback(log_callback, log_callback_user_data);
+#elif defined(GGML_USE_CUDA)
+        ggml_backend_cuda_log_set_callback(log_callback, log_callback_user_data);
 #endif
     }
 
@@ -1791,23 +1768,31 @@ static llama_state g_state;
 // available llama models
 enum e_model {
     MODEL_UNKNOWN,
+    MODEL_14M,
     MODEL_17M,
     MODEL_22M,
     MODEL_33M,
+    MODEL_70M,
     MODEL_109M,
     MODEL_137M,
+    MODEL_160M,
     MODEL_335M,
+    MODEL_410M,
     MODEL_0_5B,
     MODEL_1B,
+    MODEL_1_4B,
     MODEL_2B,
+    MODEL_2_8B,
     MODEL_3B,
     MODEL_4B,
+    MODEL_6_9B,
     MODEL_7B,
     MODEL_8B,
     MODEL_12B,
     MODEL_13B,
     MODEL_14B,
     MODEL_15B,
+    MODEL_16B,
     MODEL_20B,
     MODEL_30B,
     MODEL_34B,
@@ -1815,6 +1800,7 @@ enum e_model {
     MODEL_40B,
     MODEL_65B,
     MODEL_70B,
+    MODEL_236B,
     MODEL_314B,
     MODEL_SMALL,
     MODEL_MEDIUM,
@@ -1824,6 +1810,7 @@ enum e_model {
     MODEL_8x7B,
     MODEL_8x22B,
     MODEL_16x12B,
+    MODEL_10B_128x3_66B,
 };
 
 static const size_t kiB = 1024;
@@ -1833,6 +1820,7 @@ static const size_t GiB = 1024*MiB;
 struct llama_hparams {
     bool vocab_only;
     bool rope_finetuned;
+    bool use_par_res;
 
     uint32_t n_vocab;
     uint32_t n_ctx_train; // context size the model was trained on
@@ -1848,12 +1836,21 @@ struct llama_hparams {
     uint32_t n_expert_used = 0;
     uint32_t n_vocab_type = 0; // for BERT-style token types
 
+    uint32_t n_layer_dense_lead = 0;
+    uint32_t n_lora_q = 0;
+    uint32_t n_lora_kv = 0;
+    uint32_t n_ff_exp = 0;
+    uint32_t n_expert_shared = 0;
+    float    expert_weights_scale = 0.0;
+
     float f_norm_eps;
     float f_norm_rms_eps;
 
+    float    rope_attn_factor = 1.0f;
     float    rope_freq_base_train;
     float    rope_freq_scale_train;
-    uint32_t n_yarn_orig_ctx;
+    uint32_t n_ctx_orig_yarn;
+    float    rope_yarn_log_mul;
 
     // for State Space Models
     uint32_t ssm_d_conv  = 0;
@@ -1887,8 +1884,14 @@ struct llama_hparams {
         if (this->n_expert      != other.n_expert)      return true;
         if (this->n_expert_used != other.n_expert_used) return true;
 
+        if (this->n_layer_dense_lead != other.n_layer_dense_lead) return true;
+        if (this->n_lora_q           != other.n_lora_q)           return true;
+        if (this->n_lora_kv          != other.n_lora_kv)          return true;
+        if (this->n_ff_exp           != other.n_ff_exp)           return true;
+        if (this->n_expert_shared    != other.n_expert_shared)    return true;
+
         if (this->rope_finetuned  != other.rope_finetuned)  return true;
-        if (this->n_yarn_orig_ctx != other.n_yarn_orig_ctx) return true;
+        if (this->n_ctx_orig_yarn != other.n_ctx_orig_yarn) return true;
 
         if (this->ssm_d_conv  != other.ssm_d_conv)  return true;
         if (this->ssm_d_inner != other.ssm_d_inner) return true;
@@ -1899,8 +1902,11 @@ struct llama_hparams {
 
         if (!is_float_close(this->f_norm_eps,            other.f_norm_eps,            EPSILON)) return true;
         if (!is_float_close(this->f_norm_rms_eps,        other.f_norm_rms_eps,        EPSILON)) return true;
+        if (!is_float_close(this->rope_attn_factor,      other.rope_attn_factor,      EPSILON)) return true;
         if (!is_float_close(this->rope_freq_base_train,  other.rope_freq_base_train,  EPSILON)) return true;
         if (!is_float_close(this->rope_freq_scale_train, other.rope_freq_scale_train, EPSILON)) return true;
+        if (!is_float_close(this->expert_weights_scale,  other.expert_weights_scale,  EPSILON)) return true;
+        if (!is_float_close(this->rope_yarn_log_mul,     other.rope_yarn_log_mul,     EPSILON)) return true;
 
         return false;
     }
@@ -1944,7 +1950,7 @@ struct llama_cparams {
     float rope_freq_base;
     float rope_freq_scale;
 
-    uint32_t n_yarn_orig_ctx;
+    uint32_t n_ctx_orig_yarn;
     // These hyperparameters are not exposed in GGUF, because all
     // existing YaRN models use the same values for them.
     float yarn_ext_factor;
@@ -1976,6 +1982,8 @@ struct llama_layer {
     struct ggml_tensor * attn_k_norm_b;
     struct ggml_tensor * attn_out_norm;
     struct ggml_tensor * attn_out_norm_b;
+    struct ggml_tensor * attn_q_a_norm;
+    struct ggml_tensor * attn_kv_a_norm;
 
     // attention
     struct ggml_tensor * wq;
@@ -1983,6 +1991,10 @@ struct llama_layer {
     struct ggml_tensor * wv;
     struct ggml_tensor * wo;
     struct ggml_tensor * wqkv;
+    struct ggml_tensor * wq_a;
+    struct ggml_tensor * wq_b;
+    struct ggml_tensor * wkv_a_mqa;
+    struct ggml_tensor * wkv_b;
 
     // attention bias
     struct ggml_tensor * bq;
@@ -1996,6 +2008,7 @@ struct llama_layer {
     struct ggml_tensor * ffn_norm_b;
     struct ggml_tensor * layer_out_norm;
     struct ggml_tensor * layer_out_norm_b;
+    struct ggml_tensor * ffn_norm_exps;
 
     // ff
     struct ggml_tensor * ffn_gate; // w1
@@ -2015,8 +2028,9 @@ struct llama_layer {
     struct ggml_tensor * ffn_up_shexp;
 
     // ff bias
-    struct ggml_tensor * ffn_down_b; // b2
-    struct ggml_tensor * ffn_up_b;   // b3
+    struct ggml_tensor * ffn_gate_b = nullptr;
+    struct ggml_tensor * ffn_down_b = nullptr; // b2
+    struct ggml_tensor * ffn_up_b   = nullptr; // b3
     struct ggml_tensor * ffn_act;
 
     // mamba proj
@@ -2033,6 +2047,10 @@ struct llama_layer {
     // mamba bias
     struct ggml_tensor * ssm_conv1d_b;
     struct ggml_tensor * ssm_dt_b;
+
+    // long rope factors
+    struct ggml_tensor * rope_long  = nullptr;
+    struct ggml_tensor * rope_short = nullptr;
 };
 
 struct llama_kv_cell {
@@ -2130,12 +2148,12 @@ struct llama_control_vector {
 struct llama_vocab {
     using id    = int32_t;
     using token = std::string;
-    using ttype = llama_token_type;
+    using tattr = llama_token_attr;
 
     struct token_data {
         token text;
         float score;
-        ttype type;
+        tattr attr;
     };
 
     enum llama_vocab_type     type     = LLAMA_VOCAB_TYPE_SPM;
@@ -2144,7 +2162,8 @@ struct llama_vocab {
     std::unordered_map<token, id> token_to_id;
     std::vector<token_data>       id_to_token;
 
-    std::unordered_map<token, id> special_tokens_cache;
+    std::vector<id>    cache_special_tokens;
+    std::vector<token> cache_token_to_piece; // llama_token_to_piece(special = true);
 
     std::map<std::pair<std::string, std::string>, int> bpe_ranks;
 
@@ -2210,6 +2229,8 @@ struct llama_model {
     int main_gpu;
     int n_gpu_layers;
 
+    std::vector<std::string> rpc_servers;
+
     // gguf metadata
     std::unordered_map<std::string, std::string> gguf_kv;
 
@@ -2347,12 +2368,115 @@ struct llama_context {
 
     // control vectors
     struct llama_control_vector cvec;
-
-#ifdef GGML_USE_MPI
-    ggml_mpi_context * ctx_mpi = NULL;
-#endif
 };
 
+static size_t llama_get_device_count(const llama_model & model) {
+    size_t count = 1;
+#if defined(GGML_USE_CUDA)
+    count = ggml_backend_cuda_get_device_count();
+#elif defined(GGML_USE_SYCL)
+    count = ggml_backend_sycl_get_device_count();
+#elif defined(GGML_USE_VULKAN)
+    count = ggml_backend_vk_get_device_count();
+#endif
+#if defined(GGML_USE_RPC)
+    count += model.rpc_servers.size();
+#endif
+    return count;
+    GGML_UNUSED(model);
+}
+
+static ggml_backend_buffer_type_t llama_default_buffer_type_offload(const llama_model & model, int gpu) {
+    ggml_backend_buffer_type_t buft = nullptr;
+
+#if defined(GGML_USE_RPC)
+    int dev_count = (int)llama_get_device_count(model);
+    int rpc_count = (int)model.rpc_servers.size();
+    if (gpu >= dev_count - rpc_count) {
+        const char * endpoint = model.rpc_servers[gpu - dev_count + rpc_count].c_str();
+        return ggml_backend_rpc_buffer_type(endpoint);
+    }
+#endif
+#if defined(GGML_USE_METAL)
+    buft = ggml_backend_metal_buffer_type();
+#elif defined(GGML_USE_CUDA)
+    buft = ggml_backend_cuda_buffer_type(gpu);
+#elif defined(GGML_USE_VULKAN)
+    buft = ggml_backend_vk_buffer_type(gpu);
+#elif defined(GGML_USE_SYCL)
+    buft = ggml_backend_sycl_buffer_type(gpu);
+#elif defined(GGML_USE_KOMPUTE)
+    buft = ggml_backend_kompute_buffer_type(gpu);
+    if (buft == nullptr) {
+        LLAMA_LOG_WARN("%s: cannot use GPU %d, check `vulkaninfo --summary`\n", __func__, gpu);
+    }
+#endif
+
+    if (buft == nullptr) {
+        buft = llama_default_buffer_type_cpu(true);
+    }
+    return buft;
+    GGML_UNUSED(model);
+    GGML_UNUSED(gpu);
+}
+
+static ggml_backend_buffer_type_t llama_default_buffer_type_split(const llama_model & model, int fallback_gpu, const float * tensor_split) {
+    ggml_backend_buffer_type_t buft = nullptr;
+
+#ifdef GGML_USE_CUDA
+    if (ggml_backend_cuda_get_device_count() > 1) {
+        buft = ggml_backend_cuda_split_buffer_type(tensor_split);
+    }
+#endif
+
+#ifdef GGML_USE_SYCL
+    if (ggml_backend_sycl_get_device_count() > 1) {
+        buft = ggml_backend_sycl_split_buffer_type(tensor_split);
+    }
+#endif
+
+    if (buft == nullptr) {
+        buft = llama_default_buffer_type_offload(model, fallback_gpu);
+    }
+    return buft;
+
+    GGML_UNUSED(tensor_split);
+}
+
+static size_t llama_get_device_memory(const llama_model & model, int device) {
+#if defined(GGML_USE_RPC)
+    int dev_count = (int)llama_get_device_count(model);
+    int rpc_count = (int)model.rpc_servers.size();
+    if (device >= dev_count - rpc_count) {
+        size_t total;
+        size_t free;
+        const char * endpoint = model.rpc_servers[device - dev_count + rpc_count].c_str();
+        ggml_backend_rpc_get_device_memory(endpoint, &free, &total);
+        return free;
+    }
+#endif
+#if defined(GGML_USE_CUDA)
+    size_t total;
+    size_t free;
+    ggml_backend_cuda_get_device_memory(device, &free, &total);
+    return free;
+#elif defined(GGML_USE_SYCL)
+    size_t total;
+    size_t free;
+    ggml_backend_sycl_get_device_memory(device, &free, &total);
+    return free;
+#elif defined(GGML_USE_VULKAN)
+    size_t total;
+    size_t free;
+    ggml_backend_vk_get_device_memory(device, &free, &total);
+    return free;
+#else
+    return 1;
+#endif
+    GGML_UNUSED(model);
+    GGML_UNUSED(device);
+}
+
 //
 // kv cache helpers
 //
@@ -2403,10 +2527,6 @@ static bool llama_kv_cache_init(
         }
     }
 
-#ifdef GGML_USE_CLBLAST
-    offload = false;
-#endif
-
     // count used buffer types
     std::map<ggml_backend_buffer_type_t, int> buft_layer_count;
     if (offload) {
@@ -2472,7 +2592,6 @@ static bool llama_kv_cache_init(
 static bool llama_kv_cache_find_slot(
            struct llama_kv_cache & cache,
         const struct llama_batch & batch) {
-    const uint32_t n_ctx    = cache.size;
     const uint32_t n_tokens = batch.n_tokens;
 
     if (cache.recurrent) {
@@ -2523,16 +2642,16 @@ static bool llama_kv_cache_find_slot(
     }
     // otherwise, one cell per token.
 
-    if (n_tokens > n_ctx) {
-        LLAMA_LOG_ERROR("%s: n_tokens=%d > n_ctx=%d\n", __func__, n_tokens, n_ctx);
+    if (n_tokens > cache.size) {
+        LLAMA_LOG_ERROR("%s: n_tokens=%d > cache.size=%d\n", __func__, n_tokens, cache.size);
         return false;
     }
 
     uint32_t n_tested = 0;
 
     while (true) {
-        if (cache.head + n_tokens > n_ctx) {
-            n_tested += n_ctx - cache.head;
+        if (cache.head + n_tokens > cache.size) {
+            n_tested += cache.size - cache.head;
             cache.head = 0;
             continue;
         }
@@ -2551,7 +2670,7 @@ static bool llama_kv_cache_find_slot(
             break;
         }
 
-        if (n_tested >= n_ctx) {
+        if (n_tested >= cache.size) {
             //LLAMA_LOG_ERROR("%s: failed to find a slot for %d tokens\n", __func__, n_tokens);
             return false;
         }
@@ -2805,6 +2924,11 @@ static void llama_kv_cache_defrag(struct llama_kv_cache & cache) {
     cache.do_defrag = true;
 }
 
+static uint32_t llama_kv_cache_get_padding(const struct llama_cparams & cparams) {
+    // the FA kernels require padding to avoid extra runtime boundary checks
+    return cparams.flash_attn ? 256u : 32u;
+}
+
 //
 // model loading and saving
 //
@@ -3306,6 +3430,39 @@ struct llama_model_loader {
         return get_arr_n(llm_kv(kid), result, required);
     }
 
+    template<typename T>
+    bool get_arr(const std::string & key, std::vector<T> & result, const bool required = true) {
+        const int kid = gguf_find_key(meta, key.c_str());
+
+        if (kid < 0) {
+            if (required) {
+                throw std::runtime_error(format("key not found in model: %s", key.c_str()));
+            }
+            return false;
+        }
+
+        struct GGUFMeta::ArrayInfo arr_info =
+            GGUFMeta::GKV<GGUFMeta::ArrayInfo>::get_kv(meta, kid);
+
+        if (arr_info.gt != GGUF_TYPE_FLOAT32 && arr_info.gt != GGUF_TYPE_INT32) {
+            throw std::runtime_error(format("%s is not a float32 or int32 array", key.c_str()));
+        }
+
+        // GGML_ASSERT(gguf_type_size(arr_info.gt) == sizeof(T));
+        GGML_ASSERT((arr_info.gt != GGUF_TYPE_FLOAT32 || std::is_same<T, float>::value));
+        GGML_ASSERT((arr_info.gt != GGUF_TYPE_INT32   || std::is_same<T, int>::value));
+
+        result.resize(arr_info.length);
+        result.assign((const T*)arr_info.data, (const T *)arr_info.data + arr_info.length);
+
+        return true;
+    }
+
+    template<typename T>
+    bool get_arr(const enum llm_kv kid, T& result, const bool required = true) {
+        return get_arr(llm_kv(kid), result, required);
+    }
+
     template<typename T>
     bool get_key(const std::string & key, T & result, const bool required = true) {
         auto it = kv_overrides.find(key);
@@ -3380,11 +3537,15 @@ struct llama_model_loader {
         return get_tensor_meta(get_tensor_name(i));
     }
 
-    struct ggml_tensor * create_tensor_for(struct ggml_context * ctx, const struct ggml_tensor * cur) {
+    struct ggml_tensor * create_tensor_for(struct ggml_context * ctx, const struct ggml_tensor * cur, bool duplicated) {
         struct ggml_tensor * tensor = ggml_dup_tensor(ctx, cur);
         ggml_set_name(tensor, ggml_get_name(cur));
 
-        n_created++;
+        if (duplicated) {
+            size_data += ggml_nbytes(cur);
+        } else {
+            n_created++;
+        }
 
         return tensor;
     }
@@ -3419,14 +3580,17 @@ struct llama_model_loader {
         return cur;
     }
 
-    struct ggml_tensor * create_tensor(struct ggml_context * ctx, const std::string & name, const std::vector<int64_t> & ne, bool required = true) {
-        const struct ggml_tensor * cur = check_tensor_dims(name, ne, required);
+    static const int TENSOR_NOT_REQUIRED = 1;
+    static const int TENSOR_DUPLICATED   = 2;
+
+    struct ggml_tensor * create_tensor(struct ggml_context * ctx, const std::string & name, const std::vector<int64_t> & ne, int flags = 0) {
+        const struct ggml_tensor * cur = check_tensor_dims(name, ne, !(flags & TENSOR_NOT_REQUIRED));
 
         if (cur == NULL) {
             return NULL;
         }
 
-        return create_tensor_for(ctx, cur);
+        return create_tensor_for(ctx, cur, flags & TENSOR_DUPLICATED);
     }
 
     struct ggml_tensor * create_tensor_as_view(struct ggml_context * ctx, struct ggml_tensor * base, const std::string & name, const std::vector<int64_t> & ne, size_t offset, bool required = true) {
@@ -3726,37 +3890,50 @@ static std::string llama_model_ftype_name(llama_ftype ftype) {
 
 static const char * llama_model_type_name(e_model type) {
     switch (type) {
-        case MODEL_22M:    return "22M";
-        case MODEL_33M:    return "33M";
-        case MODEL_109M:   return "109M";
-        case MODEL_137M:   return "137M";
-        case MODEL_0_5B:   return "0.5B";
-        case MODEL_1B:     return "1B";
-        case MODEL_2B:     return "2B";
-        case MODEL_3B:     return "3B";
-        case MODEL_7B:     return "7B";
-        case MODEL_8B:     return "8B";
-        case MODEL_12B:    return "12B";
-        case MODEL_13B:    return "13B";
-        case MODEL_14B:    return "14B";
-        case MODEL_15B:    return "15B";
-        case MODEL_20B:    return "20B";
-        case MODEL_30B:    return "30B";
-        case MODEL_34B:    return "34B";
-        case MODEL_35B:    return "35B";
-        case MODEL_40B:    return "40B";
-        case MODEL_65B:    return "65B";
-        case MODEL_70B:    return "70B";
-        case MODEL_314B:   return "314B";
-        case MODEL_SMALL:  return "0.1B";
-        case MODEL_MEDIUM: return "0.4B";
-        case MODEL_LARGE:  return "0.8B";
-        case MODEL_XL:     return "1.5B";
-        case MODEL_A2_7B:  return "A2.7B";
-        case MODEL_8x7B:   return "8x7B";
-        case MODEL_8x22B:  return "8x22B";
-        case MODEL_16x12B: return "16x12B";
-        default:           return "?B";
+        case MODEL_14M:           return "14M";
+        case MODEL_17M:           return "17M";
+        case MODEL_22M:           return "22M";
+        case MODEL_33M:           return "33M";
+        case MODEL_70M:           return "70M";
+        case MODEL_109M:          return "109M";
+        case MODEL_137M:          return "137M";
+        case MODEL_160M:          return "160M";
+        case MODEL_335M:          return "335M";
+        case MODEL_410M:          return "410M";
+        case MODEL_0_5B:          return "0.5B";
+        case MODEL_1B:            return "1B";
+        case MODEL_1_4B:          return "1.4B";
+        case MODEL_2B:            return "2B";
+        case MODEL_2_8B:          return "2.8B";
+        case MODEL_3B:            return "3B";
+        case MODEL_4B:            return "4B";
+        case MODEL_6_9B:          return "6.9B";
+        case MODEL_7B:            return "7B";
+        case MODEL_8B:            return "8B";
+        case MODEL_12B:           return "12B";
+        case MODEL_13B:           return "13B";
+        case MODEL_14B:           return "14B";
+        case MODEL_15B:           return "15B";
+        case MODEL_16B:           return "16B";
+        case MODEL_20B:           return "20B";
+        case MODEL_30B:           return "30B";
+        case MODEL_34B:           return "34B";
+        case MODEL_35B:           return "35B";
+        case MODEL_40B:           return "40B";
+        case MODEL_65B:           return "65B";
+        case MODEL_70B:           return "70B";
+        case MODEL_236B:          return "236B";
+        case MODEL_314B:          return "314B";
+        case MODEL_SMALL:         return "0.1B";
+        case MODEL_MEDIUM:        return "0.4B";
+        case MODEL_LARGE:         return "0.8B";
+        case MODEL_XL:            return "1.5B";
+        case MODEL_A2_7B:         return "A2.7B";
+        case MODEL_8x7B:          return "8x7B";
+        case MODEL_8x22B:         return "8x22B";
+        case MODEL_16x12B:        return "16x12B";
+        case MODEL_10B_128x3_66B: return "10B+128x3.66B";
+        default:                  return "?B";
     }
 }
 
@@ -3829,8 +4006,8 @@ static void llm_load_hparams(
     ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false);
     hparams.rope_finetuned = rope_finetuned;
 
-    hparams.n_yarn_orig_ctx = hparams.n_ctx_train;
-    ml.get_key(LLM_KV_ROPE_SCALING_ORIG_CTX_LEN, hparams.n_yarn_orig_ctx, false);
+    hparams.n_ctx_orig_yarn = hparams.n_ctx_train;
+    ml.get_key(LLM_KV_ROPE_SCALING_ORIG_CTX_LEN, hparams.n_ctx_orig_yarn, false);
 
     // rope_freq_base (optional)
     hparams.rope_freq_base_train = 10000.0f;
@@ -3849,6 +4026,8 @@ static void llm_load_hparams(
     }
     hparams.rope_freq_scale_train = ropescale == 0.0f ? 1.0f : 1.0f/ropescale;
 
+    ml.get_key(LLM_KV_ROPE_SCALING_ATTN_FACTOR, hparams.rope_attn_factor, false);
+
     // sanity check for n_rot (optional)
     {
         hparams.n_rot = (hparams.n_head == 0) ? 0 : hparams.n_embd / hparams.n_head;
@@ -3886,7 +4065,9 @@ static void llm_load_hparams(
                     switch (hparams.n_layer) {
                         case 22: model.type = e_model::MODEL_1B; break;
                         case 26: model.type = e_model::MODEL_3B; break;
-                        case 32: model.type = hparams.n_vocab < 40000 ? e_model::MODEL_7B : e_model::MODEL_8B; break;
+                        // granite uses a vocab with len 49152
+                        case 32: model.type = hparams.n_vocab == 49152 ? e_model::MODEL_3B : (hparams.n_vocab < 40000 ? e_model::MODEL_7B : e_model::MODEL_8B); break;
+                        case 36: model.type = e_model::MODEL_8B; break; // granite
                         case 40: model.type = e_model::MODEL_13B; break;
                         case 48: model.type = e_model::MODEL_34B; break;
                         case 60: model.type = e_model::MODEL_30B; break;
@@ -3948,14 +4129,6 @@ static void llm_load_hparams(
                     default: model.type = e_model::MODEL_UNKNOWN;
                 }
             } break;
-        case LLM_ARCH_PERSIMMON:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                switch (hparams.n_layer) {
-                    case 36: model.type = e_model::MODEL_8B; break;
-                    default: model.type = e_model::MODEL_UNKNOWN;
-                }
-            } break;
         case LLM_ARCH_REFACT:
             {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
@@ -4097,6 +4270,7 @@ static void llm_load_hparams(
                 switch (hparams.n_layer) {
                     case 24: model.type = e_model::MODEL_1B; break;
                     case 32: model.type = e_model::MODEL_3B; break;
+                    case 40: model.type = e_model::MODEL_14B; break;
                     default: model.type = e_model::MODEL_UNKNOWN;
                 }
             } break;
@@ -4163,6 +4337,8 @@ static void llm_load_hparams(
                     case 30: model.type = e_model::MODEL_3B; break;
                     case 32: model.type = e_model::MODEL_7B; break;
                     case 40: model.type = e_model::MODEL_15B; break;
+                    case 52: model.type = e_model::MODEL_20B; break; // granite
+                    case 88: model.type = e_model::MODEL_34B; break; // granite
                     default: model.type = e_model::MODEL_UNKNOWN;
                 }
             } break;
@@ -4237,6 +4413,85 @@ static void llm_load_hparams(
                     default: model.type = e_model::MODEL_UNKNOWN;
                 }
             } break;
+        case LLM_ARCH_GPTNEOX:
+            {
+                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+                ml.get_key(LLM_KV_USE_PARALLEL_RESIDUAL, hparams.use_par_res);
+                switch (hparams.n_layer) {
+                    case 6:
+                        switch (hparams.n_ff) {
+                            case 512: model.type = e_model::MODEL_14M; break;
+                            case 2048: model.type = e_model::MODEL_70M; break;
+                            default: model.type = e_model::MODEL_UNKNOWN;
+                        } break;
+                    case 12:
+                        switch (hparams.n_ff) {
+                            case 3072: model.type = e_model::MODEL_160M; break;
+                            default: model.type = e_model::MODEL_UNKNOWN;
+                        } break;
+                    case 16:
+                        switch (hparams.n_ff) {
+                            case 8192: model.type = e_model::MODEL_1B; break;
+                            default: model.type = e_model::MODEL_UNKNOWN;
+                        } break;
+                    case 24:
+                        switch (hparams.n_ff) {
+                            case 4096: model.type = e_model::MODEL_410M; break;
+                            case 8192: model.type = e_model::MODEL_1_4B; break;
+                            default: model.type = e_model::MODEL_UNKNOWN;
+                        } break;
+                    case 32:
+                        switch (hparams.n_ff) {
+                            case 10240: model.type = e_model::MODEL_2_8B; break;
+                            case 16384: model.type = e_model::MODEL_6_9B; break;
+                            default: model.type = e_model::MODEL_UNKNOWN;
+                        } break;
+                    case 36:
+                        switch (hparams.n_ff) {
+                            case 20480: model.type = e_model::MODEL_12B; break;
+                            default: model.type = e_model::MODEL_UNKNOWN;
+                        } break;
+                    case 44:
+                        switch (hparams.n_ff) {
+                            case 24576: model.type = e_model::MODEL_20B; break;
+                            default: model.type = e_model::MODEL_UNKNOWN;
+                        } break;
+                    default: model.type = e_model::MODEL_UNKNOWN;
+                }
+            } break;
+        case LLM_ARCH_ARCTIC:
+            {
+                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+                if (hparams.n_expert == 128) {
+                    switch (hparams.n_layer) {
+                        case 35: model.type = e_model::MODEL_10B_128x3_66B; break;
+                        default: model.type = e_model::MODEL_UNKNOWN;
+                    }
+                } else {
+                    model.type = e_model::MODEL_UNKNOWN;
+                }
+            } break;
+        case LLM_ARCH_DEEPSEEK2:
+            {
+                bool is_lite = (hparams.n_layer == 27);
+                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead);
+                if (!is_lite) {
+                    ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK, hparams.n_lora_q);
+                }
+                ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv);
+                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp);
+                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared);
+                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale);
+                ml.get_key(LLM_KV_ROPE_SCALING_YARN_LOG_MUL, hparams.rope_yarn_log_mul);
+
+                switch (hparams.n_layer) {
+                    case 27: model.type = e_model::MODEL_16B; break;
+                    case 60: model.type = e_model::MODEL_236B; break;
+                    default: model.type = e_model::MODEL_UNKNOWN;
+                }
+            } break;
         default: (void)0;
     }
 
@@ -4343,15 +4598,14 @@ static void llm_load_vocab(
             vocab.special_cls_id  = 101;
             vocab.special_mask_id = 103;
             vocab.add_space_prefix = false;
-        } else {
-            if (tokenizer_model == "gpt2") {
-                vocab.type = LLAMA_VOCAB_TYPE_BPE;
-            } else {
-                LLAMA_LOG_WARN("%s: unknown tokenizer: '%s'", __func__, tokenizer_model.c_str());
-                LLAMA_LOG_WARN("%s: using default tokenizer: 'llama'", __func__);
-                vocab.type = LLAMA_VOCAB_TYPE_SPM;
-                return;
+        } else if (tokenizer_model == "gpt2") {
+            vocab.type = LLAMA_VOCAB_TYPE_BPE;
+
+            const int add_space_prefix_keyidx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_ADD_PREFIX).c_str());
+            if (add_space_prefix_keyidx != -1) {
+                vocab.add_space_prefix = gguf_get_val_bool(ctx, add_space_prefix_keyidx);
             }
+
             // read bpe merges and populate bpe ranks
             const int merges_keyidx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_MERGES).c_str());
             if (merges_keyidx == -1) {
@@ -4385,6 +4639,8 @@ static void llm_load_vocab(
             vocab.special_pad_id  = -1;
             vocab.special_cls_id  = -1;
             vocab.special_mask_id = -1;
+        } else {
+            throw std::runtime_error(format("unknown tokenizer: '%s'", tokenizer_model.c_str()));
         }
 
         // for now, only BPE models have pre-tokenizers
@@ -4398,8 +4654,7 @@ static void llm_load_vocab(
                 LLAMA_LOG_WARN("%s: ************************************        \n", __func__);
                 LLAMA_LOG_WARN("%s:                                             \n", __func__);
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
-            } else if (
-                    tokenizer_pre == "default") {
+            } else if (tokenizer_pre == "default") {
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
             } else if (
                     tokenizer_pre == "llama3"   ||
@@ -4426,7 +4681,8 @@ static void llm_load_vocab(
                     tokenizer_pre == "jina-es" ||
                     tokenizer_pre == "jina-de" ||
                     tokenizer_pre == "jina-v2-es" ||
-                    tokenizer_pre == "jina-v2-de") {
+                    tokenizer_pre == "jina-v2-de" ||
+                    tokenizer_pre == "jina-v2-code") {
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_GPT2;
 
             } else if (tokenizer_pre == "refact") {
@@ -4437,6 +4693,9 @@ static void llm_load_vocab(
             } else if (
                 tokenizer_pre == "qwen2") {
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_QWEN2;
+            } else if (
+                tokenizer_pre == "stablelm2") {
+                vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_STABLELM2;
             } else if (
                 tokenizer_pre == "olmo") {
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_OLMO;
@@ -4444,7 +4703,10 @@ static void llm_load_vocab(
                 tokenizer_pre == "dbrx") {
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DBRX;
             } else if (
-                    tokenizer_pre == "jina-v2-zh") {
+                tokenizer_pre == "smaug-bpe") {
+                vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_SMAUG;
+            } else if (
+                tokenizer_pre == "jina-v2-zh") {
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_JINA_V2_ZH;
             } else {
                 throw std::runtime_error(format("unknown pre-tokenizer type: '%s'", tokenizer_pre.c_str()));
@@ -4483,7 +4745,20 @@ static void llm_load_vocab(
         auto & token_data = vocab.id_to_token[i];
         token_data.text  = std::move(word);
         token_data.score = scores ? scores[i] : 0.0f;
-        token_data.type  = toktypes ? (llama_token_type) toktypes[i] : LLAMA_TOKEN_TYPE_NORMAL;
+        token_data.attr  = LLAMA_TOKEN_ATTR_NORMAL;
+
+        if (toktypes) {  //TODO: remove, required until per token attributes are available from GGUF file
+            switch(toktypes[i]) {
+                case LLAMA_TOKEN_TYPE_UNKNOWN:      token_data.attr = LLAMA_TOKEN_ATTR_UNKNOWN;      break;
+                case LLAMA_TOKEN_TYPE_UNUSED:       token_data.attr = LLAMA_TOKEN_ATTR_UNUSED;       break;
+                case LLAMA_TOKEN_TYPE_NORMAL:       token_data.attr = LLAMA_TOKEN_ATTR_NORMAL;       break;
+                case LLAMA_TOKEN_TYPE_CONTROL:      token_data.attr = LLAMA_TOKEN_ATTR_CONTROL;      break;
+                case LLAMA_TOKEN_TYPE_USER_DEFINED: token_data.attr = LLAMA_TOKEN_ATTR_USER_DEFINED; break;
+                case LLAMA_TOKEN_TYPE_BYTE:         token_data.attr = LLAMA_TOKEN_ATTR_BYTE;         break;
+                case LLAMA_TOKEN_TYPE_UNDEFINED:    token_data.attr = LLAMA_TOKEN_ATTR_UNDEFINED;    break;
+                default:                            token_data.attr = LLAMA_TOKEN_ATTR_UNDEFINED;    break;
+            }
+        }
     }
     GGML_ASSERT(vocab.id_to_token.size() == vocab.token_to_id.size());
 
@@ -4569,7 +4844,8 @@ static void llm_load_vocab(
                         (t.first == "<|eot_id|>" ||
                          t.first == "<|im_end|>" ||
                          t.first == "<|end|>" ||
-                         t.first == "<end_of_turn>"
+                         t.first == "<end_of_turn>" ||
+                         t.first == "<|endoftext|>"
                         )
                    ) {
                     vocab.special_eot_id = t.second;
@@ -4581,96 +4857,88 @@ static void llm_load_vocab(
 
     // build special tokens cache
     {
-        // TODO: It is unclear (to me) at this point, whether special tokes are guaranteed to be of a deterministic type,
-        //  and will always be correctly labeled in 'added_tokens.json' etc.
-        // The assumption is, since special tokens aren't meant to be exposed to end user, they are designed
-        //  to be unmatchable by the tokenizer, therefore tokens from the vocab, which are unmatchable by the tokenizer
-        //  are special tokens.
-        // From testing, this appears to correlate 1:1 with special tokens.
-        //
-
-        // Counting special tokens and verifying in only one direction
-        //  is sufficient to detect difference in those two sets.
-        //
-        uint32_t special_tokens_count_by_type = 0;
-        uint32_t special_tokens_count_from_verification = 0;
-
-        bool special_tokens_definition_mismatch = false;
-
-        for (const auto & t : vocab.token_to_id) {
-            const auto & token = t.first;
-            const auto & id    = t.second;
-
-            // Count all non-normal tokens in the vocab while iterating
-            if (vocab.id_to_token[id].type != LLAMA_TOKEN_TYPE_NORMAL) {
-                special_tokens_count_by_type++;
-            }
-
-            // Skip single character tokens
-            if (token.length() > 1) {
-                bool is_tokenizable = false;
-
-                // Split token string representation in two, in all possible ways
-                //  and check if both halves can be matched to a valid token
-                for (unsigned i = 1; i < token.length();) {
-                    const auto left  = token.substr(0, i);
-                    const auto right = token.substr(i);
-
-                    // check if we didnt partition in the middle of a utf sequence
-                    auto utf = utf8_len(left.at(left.length() - 1));
-
-                    if (utf == 1) {
-                        if (vocab.token_to_id.find(left)  != vocab.token_to_id.end() &&
-                            vocab.token_to_id.find(right) != vocab.token_to_id.end() ) {
-                            is_tokenizable = true;
-                            break;
-                        }
-                        i++;
-                    } else {
-                        // skip over the rest of multibyte utf sequence
-                        i += utf - 1;
-                    }
-                }
-
-                if (!is_tokenizable) {
-                    // Some tokens are multibyte, but they are utf sequences with equivalent text length of 1
-                    //  it's faster to re-filter them here, since there are way less candidates now
-
-                    // Calculate a total "utf" length of a token string representation
-                    size_t utf8_str_len = 0;
-                    for (unsigned i = 0; i < token.length();) {
-                        utf8_str_len++;
-                        i += utf8_len(token.at(i));
-                    }
-
-                    // And skip the ones which are one character
-                    if (utf8_str_len > 1) {
-                        // At this point what we have left are special tokens only
-                        vocab.special_tokens_cache[token] = id;
-
-                        // Count manually found special tokens
-                        special_tokens_count_from_verification++;
-
-                        // If this manually found special token is not marked as such, flag a mismatch
-                        if (vocab.id_to_token[id].type == LLAMA_TOKEN_TYPE_NORMAL) {
-                            special_tokens_definition_mismatch = true;
-                        }
-                    }
-                }
+        for (llama_vocab::id id = 0; id < (llama_vocab::id)n_vocab; ++id) {
+            if (!(vocab.id_to_token[id].attr & LLAMA_TOKEN_ATTR_NORMAL)) {
+                vocab.cache_special_tokens.push_back(id);
             }
         }
 
-        if (special_tokens_definition_mismatch || special_tokens_count_from_verification != special_tokens_count_by_type) {
-            LLAMA_LOG_WARN("%s: mismatch in special tokens definition ( %u/%zu vs %u/%zu ).\n",
-                __func__,
-                special_tokens_count_from_verification, vocab.id_to_token.size(),
-                special_tokens_count_by_type, vocab.id_to_token.size()
-            );
-        } else {
-            LLAMA_LOG_INFO("%s: special tokens definition check successful ( %u/%zu ).\n",
-                __func__,
-                special_tokens_count_from_verification, vocab.id_to_token.size()
-            );
+        std::sort( vocab.cache_special_tokens.begin(), vocab.cache_special_tokens.end(),
+            [&] (const llama_vocab::id a, const llama_vocab::id b) {
+                return vocab.id_to_token[a].text.size() > vocab.id_to_token[b].text.size();
+            }
+        );
+
+        LLAMA_LOG_INFO("%s: special tokens cache size = %u\n", __func__, (uint32_t)vocab.cache_special_tokens.size());
+    }
+
+    // build token to piece cache
+    {
+        size_t size_cache = 0;
+
+        std::vector<llama_vocab::token> cache_token_to_piece(n_vocab);
+
+        for (uint32_t id = 0; id < n_vocab; ++id) {
+            cache_token_to_piece[id] = llama_token_to_piece(&model, id, true);
+
+            size_cache += cache_token_to_piece[id].size();
+        }
+
+        std::swap(vocab.cache_token_to_piece, cache_token_to_piece);
+
+        LLAMA_LOG_INFO("%s: token to piece cache size = %.4f MB\n", __func__, size_cache / 1024.0 / 1024.0);
+    }
+
+    // Handle per token attributes
+    //NOTE: Each model customizes per token attributes.
+    //NOTE: Per token attributes are missing from the GGUF file.
+    //TODO: Extract attributes from GGUF file.
+    {
+        auto _contains_any = [] (const std::string &str, const std::vector<std::string> &substrs) -> bool {
+            for (auto substr : substrs) {
+                if (str.find(substr) < std::string::npos) {
+                    return true;
+                }
+            }
+            return false;
+        };
+
+        auto _set_tokenid_attr = [&] (const llama_vocab::id id, llama_token_attr attr, bool value) {
+            uint32_t current = vocab.id_to_token.at(id).attr;
+            current = value ? (current | attr) : (current & ~attr);
+            vocab.id_to_token[id].attr = (llama_token_attr) current;
+        };
+
+        auto _set_token_attr = [&] (const std::string & token, llama_token_attr attr, bool value) {
+            _set_tokenid_attr(vocab.token_to_id.at(token), attr, value);
+        };
+
+        std::string model_name;
+        std::string tokenizer_pre;
+
+        ml.get_key(LLM_KV_GENERAL_NAME, model_name, false);
+        ml.get_key(LLM_KV_TOKENIZER_PRE, tokenizer_pre, false);
+
+        // model name to lowercase
+        std::transform(model_name.begin(), model_name.end(), model_name.begin(),
+            [] (const std::string::value_type x) {
+                return std::tolower(x);
+            }
+        );
+
+        // set attributes by model/tokenizer name
+        if (_contains_any(tokenizer_pre, {"jina-v2-es", "jina-v2-de"})) {
+            _set_token_attr("<mask>", LLAMA_TOKEN_ATTR_LSTRIP, true);
+        } else if (_contains_any(model_name, {"phi-3", "phi3"})) {
+            for (auto id : vocab.cache_special_tokens) {
+                _set_tokenid_attr(id, LLAMA_TOKEN_ATTR_RSTRIP, true);
+            }
+            for (auto token : {"</s>"}) {
+                _set_token_attr(token, LLAMA_TOKEN_ATTR_RSTRIP, true);
+            }
+            for (auto token : {"<unk>", "<s>", "<|endoftext|>"}) {
+                _set_token_attr(token, LLAMA_TOKEN_ATTR_RSTRIP, false);
+            }
         }
     }
 }
@@ -4712,7 +4980,7 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) {
     LLAMA_LOG_INFO("%s: rope scaling     = %s\n",     __func__, rope_scaling_type);
     LLAMA_LOG_INFO("%s: freq_base_train  = %.1f\n",   __func__, hparams.rope_freq_base_train);
     LLAMA_LOG_INFO("%s: freq_scale_train = %g\n",     __func__, hparams.rope_freq_scale_train);
-    LLAMA_LOG_INFO("%s: n_yarn_orig_ctx  = %u\n",     __func__, hparams.n_yarn_orig_ctx);
+    LLAMA_LOG_INFO("%s: n_ctx_orig_yarn  = %u\n",     __func__, hparams.n_ctx_orig_yarn);
     LLAMA_LOG_INFO("%s: rope_finetuned   = %s\n",     __func__, hparams.rope_finetuned ? "yes" : "unknown");
     LLAMA_LOG_INFO("%s: ssm_d_conv       = %u\n",     __func__, hparams.ssm_d_conv);
     LLAMA_LOG_INFO("%s: ssm_d_inner      = %u\n",     __func__, hparams.ssm_d_inner);
@@ -4752,6 +5020,16 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) {
     if (vocab.special_suffix_id != -1) { LLAMA_LOG_INFO( "%s: SUF token        = %d '%s'\n", __func__, vocab.special_suffix_id, vocab.id_to_token[vocab.special_suffix_id].text.c_str() ); }
     if (vocab.special_middle_id != -1) { LLAMA_LOG_INFO( "%s: MID token        = %d '%s'\n", __func__, vocab.special_middle_id, vocab.id_to_token[vocab.special_middle_id].text.c_str() ); }
     if (vocab.special_eot_id    != -1) { LLAMA_LOG_INFO( "%s: EOT token        = %d '%s'\n", __func__, vocab.special_eot_id,    vocab.id_to_token[vocab.special_eot_id].text.c_str() );    }
+
+    if (model.arch == LLM_ARCH_DEEPSEEK2) {
+        LLAMA_LOG_INFO("%s: n_layer_dense_lead   = %d\n",     __func__, hparams.n_layer_dense_lead);
+        LLAMA_LOG_INFO("%s: n_lora_q             = %d\n",     __func__, hparams.n_lora_q);
+        LLAMA_LOG_INFO("%s: n_lora_kv            = %d\n",     __func__, hparams.n_lora_kv);
+        LLAMA_LOG_INFO("%s: n_ff_exp             = %d\n",     __func__, hparams.n_ff_exp);
+        LLAMA_LOG_INFO("%s: n_expert_shared      = %d\n",     __func__, hparams.n_expert_shared);
+        LLAMA_LOG_INFO("%s: expert_weights_scale = %.1f\n",   __func__, hparams.expert_weights_scale);
+        LLAMA_LOG_INFO("%s: rope_yarn_log_mul    = %.4f\n",   __func__, hparams.rope_yarn_log_mul);
+    }
 }
 
 // Returns false if cancelled by progress_callback
@@ -4797,13 +5075,13 @@ static bool llm_load_tensors(
 
     if (split_mode == LLAMA_SPLIT_MODE_LAYER) {
         // calculate the split points
-        int device_count = llama_get_device_count();
+        int device_count = llama_get_device_count(model);
         bool all_zero = tensor_split == nullptr || std::all_of(tensor_split, tensor_split + device_count, [](float x) { return x == 0.0f; });
         std::vector<float> splits(device_count);
         if (all_zero) {
             // default split, by free memory
             for (int i = 0; i < device_count; ++i) {
-                splits[i] = llama_get_device_memory(i);
+                splits[i] = llama_get_device_memory(model, i);
             }
         } else {
             std::copy(tensor_split, tensor_split + device_count, splits.begin());
@@ -4823,35 +5101,35 @@ static bool llm_load_tensors(
         int act_gpu_layers = std::min(n_gpu_layers, (int)n_layer + 1);
         for (int64_t i = i_gpu_start; i < n_layer; ++i) {
             int layer_gpu = std::upper_bound(splits.begin(), splits.begin() + device_count, float(i - i_gpu_start)/act_gpu_layers) - splits.begin();
-            model.buft_layer[i] = llama_default_buffer_type_offload(layer_gpu);
+            model.buft_layer[i] = llama_default_buffer_type_offload(model, layer_gpu);
         }
         // assign the output layer
         if (n_gpu_layers > n_layer) {
             int layer_gpu = std::upper_bound(splits.begin(), splits.begin() + device_count, float(act_gpu_layers - 1)/act_gpu_layers) - splits.begin();
-            model.buft_output = llama_default_buffer_type_offload(layer_gpu);
+            model.buft_output = llama_default_buffer_type_offload(model, layer_gpu);
         } else {
             model.buft_output = llama_default_buffer_type_cpu(true);
         }
     } else {
         ggml_backend_buffer_type_t split_buft;
         if (split_mode == LLAMA_SPLIT_MODE_ROW) {
-            split_buft = llama_default_buffer_type_split(main_gpu, tensor_split);
+            split_buft = llama_default_buffer_type_split(model, main_gpu, tensor_split);
         } else {
             // LLAMA_SPLIT_MODE_NONE or LLAMA_SPLIT_MODE_LAYER in backends where it is not supported
-            split_buft = llama_default_buffer_type_offload(main_gpu);
+            split_buft = llama_default_buffer_type_offload(model, main_gpu);
         }
         // assign the repeating layers
         for (int64_t i = i_gpu_start; i < n_layer; ++i) {
             model.buft_layer[i] = {
                 split_buft,
-                llama_default_buffer_type_offload(main_gpu)
+                llama_default_buffer_type_offload(model, main_gpu)
             };
         }
         // assign the output layer
         if (n_gpu_layers > n_layer) {
             model.buft_output = {
                 split_buft,
-                llama_default_buffer_type_offload(main_gpu)
+                llama_default_buffer_type_offload(model, main_gpu)
             };
         } else {
             model.buft_output = llama_default_buffer_type_cpu(true);
@@ -4895,6 +5173,7 @@ static bool llm_load_tensors(
     // create tensors for the weights
     {
         const int64_t n_embd       = hparams.n_embd;
+        const int64_t n_embd_head  = n_embd / hparams.n_head;
         const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa();
         const int64_t n_embd_v_gqa = hparams.n_embd_v_gqa();
         const int64_t n_embd_gqa   = n_embd_v_gqa;
@@ -4907,8 +5186,6 @@ static bool llm_load_tensors(
             throw std::runtime_error("model has expert layers but no expert layers are used");
         }
 
-        GGML_ASSERT(n_embd_gqa == n_embd_k_gqa);
-
         ggml_context * ctx_input        = ctx_map.at(model.buft_input.buft);
         ggml_context * ctx_output       = ctx_map.at(model.buft_output.buft);
         ggml_context * ctx_output_split = ctx_map.at(model.buft_output.buft_matrix);
@@ -4928,14 +5205,10 @@ static bool llm_load_tensors(
                     // output
                     {
                         model.output_norm = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
-                        if (model.arch != LLM_ARCH_MINICPM){
-                            model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, false);
-                            // if output is NULL, init from the input tok embed
-                            if (model.output == NULL) {
-                                model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
-                                ml.n_created--; // artificial tensor
-                                ml.size_data += ggml_nbytes(model.output);
-                            }
+                        model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        // if output is NULL, init from the input tok embed
+                        if (model.output == NULL) {
+                            model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_DUPLICATED);
                         }
                     }
 
@@ -4953,10 +5226,10 @@ static bool llm_load_tensors(
                         layer.wo = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd});
 
                         // optional bias tensors
-                        layer.bq = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     false);
-                        layer.bk = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, false);
-                        layer.bv = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, false);
-                        layer.bo = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd},     false);
+                        layer.bq = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.bk = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.bv = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.bo = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd},     llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         layer.ffn_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd});
 
@@ -4964,10 +5237,15 @@ static bool llm_load_tensors(
                             layer.ffn_gate = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff});
                             layer.ffn_down = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd});
                             layer.ffn_up   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff});
+
+                            // optional MLP bias
+                            layer.ffn_gate_b = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                            layer.ffn_down_b = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                            layer.ffn_up_b   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, llama_model_loader::TENSOR_NOT_REQUIRED);
                         } else {
                             layer.ffn_gate_inp = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert});
 
-                            layer.ffn_gate_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, false);
+                            layer.ffn_gate_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, llama_model_loader::TENSOR_NOT_REQUIRED);
                             if (layer.ffn_gate_exps) {
                                 layer.ffn_down_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert});
                                 layer.ffn_up_exps   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert});
@@ -5009,12 +5287,10 @@ static bool llm_load_tensors(
                     // output
                     {
                         model.output_norm = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
-                        model.output      = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, false);
+                        model.output      = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_NOT_REQUIRED);
                         // if output is NULL, init from the input tok embed
                         if (model.output == NULL) {
-                            model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
-                            ml.n_created--; // artificial tensor
-                            ml.size_data += ggml_nbytes(model.output);
+                            model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_DUPLICATED);
                         }
                     }
 
@@ -5037,7 +5313,7 @@ static bool llm_load_tensors(
 
                         layer.ffn_gate_inp = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert});
 
-                        layer.ffn_gate_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, false);
+                        layer.ffn_gate_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, llama_model_loader::TENSOR_NOT_REQUIRED);
                         if (layer.ffn_gate_exps) {
                             layer.ffn_down_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert});
                             layer.ffn_up_exps   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert});
@@ -5139,11 +5415,9 @@ static bool llm_load_tensors(
                         model.output_norm   = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
                         model.output_norm_b = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd});
 
-                        model.output        = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, false);
+                        model.output        = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_NOT_REQUIRED);
                         if (!model.output) {
-                            model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}); // needs to be on GPU
-                            ml.n_created--; // artificial tensor
-                            ml.size_data += ggml_nbytes(model.output);
+                            model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_DUPLICATED); // needs to be on GPU
                         }
                     }
 
@@ -5156,8 +5430,8 @@ static bool llm_load_tensors(
                         layer.attn_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd});
                         layer.attn_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd});
 
-                        layer.attn_norm_2   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, false);
-                        layer.attn_norm_2_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM_2, "bias", i),   {n_embd}, false);
+                        layer.attn_norm_2   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.attn_norm_2_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM_2, "bias", i),   {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         layer.wqkv = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa});
                         layer.wo   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd});
@@ -5175,7 +5449,12 @@ static bool llm_load_tensors(
                     {
                         model.output_norm   = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
                         model.output_norm_b = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd});
-                        model.output        = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab});
+                        model.output        = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        if (!model.output) {
+                            // needs to be on GPU
+                            model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_DUPLICATED);
+                        }
+
                     }
 
                     for (int i = 0; i < n_layer; ++i) {
@@ -5203,47 +5482,6 @@ static bool llm_load_tensors(
                         layer.ffn_up_b   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_UP, "bias", i),     {n_ff});
                     }
                 } break;
-            case LLM_ARCH_PERSIMMON:
-                {
-                    model.tok_embd = ml.create_tensor(ctx_input, tn(LLM_TENSOR_TOKEN_EMBD, "weight"),  {n_embd, n_vocab});
-
-                    {
-                        model.output_norm    = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
-                        model.output_norm_b  = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd});
-                        model.output         = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab});
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        ggml_context * ctx_layer = ctx_for_layer(i);
-                        ggml_context * ctx_split = ctx_for_layer_split(i);
-
-                        auto & layer = model.layers[i];
-
-                        layer.attn_norm     = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM,   "weight", i), {n_embd});
-                        layer.attn_norm_b   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM,   "bias",   i), {n_embd});
-
-                        layer.wqkv          = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_QKV,    "weight", i), {n_embd, n_embd + 2*n_embd_gqa});
-                        layer.bqkv          = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_QKV,    "bias",   i), {n_embd + 2*n_embd_gqa});
-
-                        layer.wo            = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_OUT,    "weight", i), {n_embd, n_embd});
-                        layer.bo            = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_OUT,    "bias",   i), {n_embd});
-
-                        layer.ffn_down      = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN,    "weight", i), {n_ff, n_embd});
-                        layer.ffn_down_b    = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_DOWN,    "bias",   i), {n_embd});
-
-                        layer.ffn_up        = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP,      "weight", i), {n_embd, n_ff});
-                        layer.ffn_up_b      = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_UP,      "bias",   i), {n_ff});
-
-                        layer.ffn_norm      = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM,    "weight", i), {n_embd});
-                        layer.ffn_norm_b    = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM,    "bias",   i), {n_embd});
-
-                        layer.attn_q_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {64});
-                        layer.attn_q_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_NORM, "bias",   i), {64});
-
-                        layer.attn_k_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {64});
-                        layer.attn_k_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K_NORM, "bias",   i), {64});
-                    }
-                } break;
             case LLM_ARCH_BERT:
             case LLM_ARCH_NOMIC_BERT:
                 {
@@ -5289,7 +5527,7 @@ static bool llm_load_tensors(
 
                             layer.ffn_down_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd});
                         } else {
-                            layer.ffn_gate   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff});
+                            layer.ffn_gate = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff});
                         }
 
                         layer.layer_out_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd});
@@ -5312,14 +5550,14 @@ static bool llm_load_tensors(
                         layer.wq   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd});
                         layer.bq   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q,   "bias", i),   {n_embd});
 
-                        layer.attn_q_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, false);
-                        layer.attn_q_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), {n_embd}, false);
+                        layer.attn_q_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.attn_q_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         layer.wk   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa});
                         layer.bk   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K,   "bias", i),   {n_embd_gqa});
 
-                        layer.attn_k_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, false);
-                        layer.attn_k_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K_NORM, "bias", i), {n_embd}, false);
+                        layer.attn_k_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.attn_k_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K_NORM, "bias", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         layer.wv   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa});
                         layer.bv   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_V,   "bias", i),   {n_embd_gqa});
@@ -5330,6 +5568,9 @@ static bool llm_load_tensors(
                         layer.attn_out_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}); //output_norm
                         layer.attn_out_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i),   {n_embd});
 
+                        layer.attn_norm_2   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.attn_norm_2_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM_2, "bias", i),   {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
+
                         layer.ffn_up = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP,        "weight", i), {n_embd, n_ff});
                         layer.ffn_gate = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE,    "weight", i), {n_embd, n_ff});
 
@@ -5381,18 +5622,16 @@ static bool llm_load_tensors(
             case LLM_ARCH_MPT:
                 {
                     model.tok_embd = ml.create_tensor(ctx_input, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
-                    model.pos_embd = ml.create_tensor(ctx_input, tn(LLM_TENSOR_POS_EMBD,   "weight"), {n_embd, hparams.n_ctx_train}, false);
+                    model.pos_embd = ml.create_tensor(ctx_input, tn(LLM_TENSOR_POS_EMBD,   "weight"), {n_embd, hparams.n_ctx_train}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                     // output
                     {
                         model.output_norm   = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
-                        model.output_norm_b = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, false);
+                        model.output_norm_b = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
-                        model.output        = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, false);
+                        model.output        = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_NOT_REQUIRED);
                         if (!model.output) {
-                            model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}); // needs to be on GPU
-                            ml.n_created--; // artificial tensor
-                            ml.size_data += ggml_nbytes(model.output);
+                            model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_DUPLICATED); // needs to be on GPU
                         }
                     }
 
@@ -5403,31 +5642,31 @@ static bool llm_load_tensors(
                         auto & layer = model.layers[i];
 
                         layer.attn_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd});
-                        layer.attn_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, false);
+                        layer.attn_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         layer.wqkv = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa});
-                        layer.bqkv = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, false);
+                        layer.bqkv = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         layer.wo   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd});
-                        layer.bo   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, false);
+                        layer.bo   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         layer.ffn_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd});
-                        layer.ffn_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, false);
+                        layer.ffn_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         layer.ffn_down   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd});
-                        layer.ffn_down_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, false);
+                        layer.ffn_down_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         layer.ffn_up     = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff});
-                        layer.ffn_up_b   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, false);
+                        layer.ffn_up_b   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
-                        layer.attn_q_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, false);
-                        layer.attn_q_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_NORM, "bias",   i), {n_embd}, false);
+                        layer.attn_q_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.attn_q_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_NORM, "bias",   i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
-                        layer.attn_k_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, false);
-                        layer.attn_k_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K_NORM, "bias",   i), {n_embd}, false);
+                        layer.attn_k_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.attn_k_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K_NORM, "bias",   i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         // AWQ ScaleActivation layer
-                        layer.ffn_act = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_ACT, "scales", i), {n_ff}, false);
+                        layer.ffn_act = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_ACT, "scales", i), {n_ff}, llama_model_loader::TENSOR_NOT_REQUIRED);
                     }
                 } break;
             case LLM_ARCH_STABLELM:
@@ -5456,17 +5695,17 @@ static bool llm_load_tensors(
                         layer.wo = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd});
 
                         // optional bias tensors, present in Stable LM 2 1.6B
-                        layer.bq = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     false);
-                        layer.bk = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, false);
-                        layer.bv = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, false);
+                        layer.bq = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.bk = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.bv = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         // optional q and k layernorms, present in StableLM 2 12B
-                        layer.attn_q_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {hparams.n_embd_head_k, hparams.n_head}, false);
-                        layer.attn_k_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {hparams.n_embd_head_k, hparams.n_head_kv}, false);
+                        layer.attn_q_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {hparams.n_embd_head_k, hparams.n_head}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.attn_k_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {hparams.n_embd_head_k, hparams.n_head_kv}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         // optional FFN norm, not present in StableLM 2 12B which uses parallel residual
-                        layer.ffn_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, false);
-                        layer.ffn_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, false);
+                        layer.ffn_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.ffn_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         layer.ffn_gate = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff});
                         layer.ffn_down = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd});
@@ -5509,12 +5748,10 @@ static bool llm_load_tensors(
                     // output
                     {
                         model.output_norm = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
-                        model.output      = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, false);
+                        model.output      = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_NOT_REQUIRED);
                         // if output is NULL, init from the input tok embed
                         if (model.output == NULL) {
-                            model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
-                            ml.n_created--; // artificial tensor
-                            ml.size_data += ggml_nbytes(model.output);
+                            model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_DUPLICATED);
                         }
                     }
 
@@ -5612,8 +5849,8 @@ static bool llm_load_tensors(
                         layer.attn_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd});
                         layer.attn_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd});
 
-                        layer.wqkv = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, false);
-                        layer.bqkv = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, false);
+                        layer.wqkv = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.bqkv = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
                         if (layer.wqkv == nullptr) {
                             layer.wq = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd});
@@ -5650,17 +5887,20 @@ static bool llm_load_tensors(
                         ggml_context* ctx_layer = ctx_for_layer(i);
                         ggml_context* ctx_split = ctx_for_layer_split(i);
 
-                        auto& layer = model.layers[i];
+                        auto & layer = model.layers[i];
 
                         layer.attn_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd });
 
-                        layer.wqkv = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_QKV, "weight", i), { n_embd, n_embd + 2 * n_embd_gqa }, false);
-                        layer.wo = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd });
+                        layer.wqkv = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_QKV, "weight", i), { n_embd, n_embd + 2 * n_embd_gqa }, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.wo   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd });
 
                         layer.ffn_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd });
 
                         layer.ffn_down = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd });
                         layer.ffn_up = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, 2 * n_ff });
+
+                        layer.rope_long  = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight"), { n_embd_head/2 }, llama_model_loader::TENSOR_NOT_REQUIRED | (i != 0 ? llama_model_loader::TENSOR_DUPLICATED : 0));
+                        layer.rope_short = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight"), { n_embd_head/2 }, llama_model_loader::TENSOR_NOT_REQUIRED | (i != 0 ? llama_model_loader::TENSOR_DUPLICATED : 0));
                     }
                 } break;
             case LLM_ARCH_PLAMO:
@@ -5829,9 +6069,7 @@ static bool llm_load_tensors(
 
                     // output
                     model.output_norm = ml.create_tensor(ctx_output, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
-                    model.output      = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}); // same as tok_embd, duplicated to allow offloading
-                    ml.n_created--; // artificial tensor
-                    ml.size_data += ggml_nbytes(model.output);
+                    model.output      = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_DUPLICATED); // same as tok_embd, duplicated to allow offloading
 
                     const int64_t n_ff          = hparams.n_ff;
                     const int64_t n_embd_head_k = hparams.n_embd_head_k;
@@ -5866,12 +6104,10 @@ static bool llm_load_tensors(
                         model.output_norm   = ml.create_tensor(ctx_output, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
                         model.output_norm_b = ml.create_tensor(ctx_output, tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd});
 
-                        model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, false);
+                        model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_NOT_REQUIRED);
                         // if output is NULL, init from the input tok embed
                         if (model.output == NULL) {
-                            model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
-                            ml.n_created--; // artificial tensor
-                            ml.size_data += ggml_nbytes(model.output);
+                            model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_DUPLICATED);
                         }
 
                     }
@@ -5922,12 +6158,10 @@ static bool llm_load_tensors(
                     {
                         model.output_norm = ml.create_tensor(ctx_output, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
 
-                        model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, false);
+                        model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_NOT_REQUIRED);
                         // if output is NULL, init from the input tok embed, duplicated to allow offloading
                         if (model.output == NULL) {
-                            model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
-                            ml.n_created--; // artificial tensor
-                            ml.size_data += ggml_nbytes(model.output);
+                            model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_DUPLICATED);
                         }
                     }
 
@@ -5988,9 +6222,7 @@ static bool llm_load_tensors(
                     {
                         model.output_norm = ml.create_tensor(ctx_output, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
                         // init output from the input tok embed
-                        model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
-                        ml.n_created--; // artificial tensor
-                        ml.size_data += ggml_nbytes(model.output);
+                        model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_DUPLICATED);
                     }
 
                     for (int i = 0; i < n_layer; ++i) {
@@ -6022,12 +6254,10 @@ static bool llm_load_tensors(
 
                     // output
                     {
-                        model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, false);
+                        model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_NOT_REQUIRED);
                         // if output is NULL, init from the input tok embed
                         if (model.output == NULL) {
-                            model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
-                            ml.n_created--; // artificial tensor
-                            ml.size_data += ggml_nbytes(model.output);
+                            model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_DUPLICATED);
                         }
                     }
 
@@ -6047,6 +6277,145 @@ static bool llm_load_tensors(
                         layer.ffn_up   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff});
                     }
                 } break;
+            case LLM_ARCH_GPTNEOX:
+                {
+                    model.tok_embd   = ml.create_tensor(ctx_input,  tn(LLM_TENSOR_TOKEN_EMBD,      "weight"), {n_embd, n_vocab});
+                    // output
+                    {
+                        model.output_norm   = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
+                        model.output_norm_b = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd});
+                        model.output        = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab});
+                    }
+
+                    for (int i = 0; i < n_layer; ++i) {
+                        ggml_context * ctx_layer = ctx_for_layer(i);
+                        ggml_context * ctx_split = ctx_for_layer_split(i);
+
+                        auto & layer = model.layers[i];
+
+                        layer.attn_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd});
+                        layer.attn_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd});
+
+                        layer.wqkv = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa});
+                        layer.bqkv = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa});
+
+                        layer.wo   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd});
+                        layer.bo   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd});
+
+                        layer.ffn_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd});
+                        layer.ffn_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd});
+
+                        layer.ffn_down   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd});
+                        layer.ffn_down_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd});
+
+                        layer.ffn_up     = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff});
+                        layer.ffn_up_b   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff});
+                    }
+                } break;
+            case LLM_ARCH_ARCTIC:
+                {
+                    model.tok_embd = ml.create_tensor(ctx_input, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
+
+                    // output
+                    {
+                        model.output_norm = ml.create_tensor(ctx_output, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
+                        model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        // if output is NULL, init from the input tok embed
+                        if (model.output == NULL) {
+                            model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, llama_model_loader::TENSOR_DUPLICATED);
+                        }
+                    }
+
+                    for (int i = 0; i < n_layer; ++i) {
+                        ggml_context * ctx_layer = ctx_for_layer(i);
+                        ggml_context * ctx_split = ctx_for_layer_split(i);
+
+                        auto & layer = model.layers[i];
+
+                        layer.attn_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd});
+
+                        layer.wq = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd});
+                        layer.wk = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa});
+                        layer.wv = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa});
+                        layer.wo = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd});
+
+                        layer.ffn_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd});
+
+                        layer.ffn_gate = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_embd});
+                        layer.ffn_down = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_embd, n_embd});
+                        layer.ffn_up   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_embd});
+
+                        layer.ffn_gate_inp = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert});
+                        layer.ffn_norm_exps = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM_EXPS, "weight", i), {n_embd});
+                        layer.ffn_gate_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, false);
+                        layer.ffn_down_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert});
+                        layer.ffn_up_exps   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert});
+                    }
+                } break;
+            case LLM_ARCH_DEEPSEEK2:
+                {
+                    bool is_lite = (hparams.n_layer == 27);
+
+                    const uint32_t n_embd_head_qk_rope = hparams.n_rot;
+                    const uint32_t n_embd_head_qk_nope = hparams.n_embd_head_k - hparams.n_rot;
+                    const uint32_t q_lora_rank = hparams.n_lora_q;
+                    const uint32_t kv_lora_rank = hparams.n_lora_kv;
+                    const uint32_t n_ff_exp = hparams.n_ff_exp;
+
+                    model.tok_embd = ml.create_tensor(ctx_input, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
+
+                    // output
+                    {
+                        model.output_norm = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
+                        model.output      = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab});
+                    }
+
+                    for (int i = 0; i < n_layer; ++i) {
+                        ggml_context * ctx_layer = ctx_for_layer(i);
+                        ggml_context * ctx_split = ctx_for_layer_split(i);
+
+                        auto & layer = model.layers[i];
+
+                        layer.attn_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd});
+                        if (!is_lite) {
+                            layer.attn_q_a_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank});
+                        }
+                        layer.attn_kv_a_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank});
+
+                        if (!is_lite) {
+                            layer.wq_a = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_Q_A,   "weight", i), {n_embd, q_lora_rank});
+                            layer.wq_b = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_Q_B,   "weight", i), {q_lora_rank, hparams.n_head * hparams.n_embd_head_k});
+                        } else {
+                            layer.wq = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_k_gqa});
+                        }
+                        layer.wkv_a_mqa = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_KV_A_MQA,   "weight", i), {n_embd, kv_lora_rank + n_embd_head_qk_rope});
+                        layer.wkv_b = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_KV_B,   "weight", i), {kv_lora_rank, hparams.n_head * (n_embd_head_qk_nope + hparams.n_embd_head_v)});
+                        layer.wo = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_OUT, "weight", i), {hparams.n_head * hparams.n_embd_head_v, n_embd});
+
+                        layer.ffn_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd});
+
+                        if ((uint32_t) i < hparams.n_layer_dense_lead) {
+                            layer.ffn_gate = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff});
+                            layer.ffn_down = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd});
+                            layer.ffn_up   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff});
+                        } else {
+                            layer.ffn_gate_inp = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert});
+
+                            GGML_ASSERT(hparams.n_expert      > 0);
+                            GGML_ASSERT(hparams.n_expert_used > 0);
+
+                            // MoE branch
+                            layer.ffn_gate_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert});
+                            layer.ffn_down_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert});
+                            layer.ffn_up_exps   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert});
+
+                            // Shared expert branch
+                            layer.ffn_gate_shexp = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd,   n_ff_exp * hparams.n_expert_shared});
+                            layer.ffn_down_shexp = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {  n_ff_exp * hparams.n_expert_shared, n_embd});
+                            layer.ffn_up_shexp   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd,   n_ff_exp * hparams.n_expert_shared});
+                        }
+                    }
+                } break;
             default:
                 throw std::runtime_error("unknown architecture");
         }
@@ -6311,10 +6680,7 @@ static struct ggml_tensor * llm_build_inp_embd(
 
         inpL = ggml_get_rows(ctx, tok_embd, lctx.inp_tokens);
     } else {
-#ifdef GGML_USE_MPI
-        GGML_ASSERT(false && "not implemented");
-#endif
-        lctx.inp_embd = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, batch.n_tokens);
+       lctx.inp_embd = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, batch.n_tokens);
         inpL = lctx.inp_embd;
         ggml_set_input(lctx.inp_embd);
     }
@@ -6504,6 +6870,8 @@ static struct ggml_tensor * llm_build_moe_ffn(
                     int64_t   n_expert_used,
             llm_ffn_op_type   type_op,
                        bool   norm_w,
+                       bool   scale_w,
+                      float   w_scale,
          const llm_build_cb & cb,
                         int   il) {
     int64_t n_embd = cur->ne[0];
@@ -6535,6 +6903,10 @@ static struct ggml_tensor * llm_build_moe_ffn(
 
         weights = ggml_reshape_3d(ctx, weights, 1, n_expert_used, n_tokens);
     }
+    if (scale_w) {
+        weights = ggml_scale(ctx, weights, w_scale);
+        cb(weights, "ffn_moe_weights_scaled", il);
+    }
 
     cur = ggml_reshape_3d(ctx, cur, n_embd, 1, n_tokens);
     ggml_tensor * up = ggml_mul_mat_id(ctx, up_exps, cur, selected_experts); // [n_ff, n_expert_used, n_tokens]
@@ -6609,6 +6981,7 @@ static struct ggml_tensor * llm_build_kqv(
     const int64_t n_embd_head_k = hparams.n_embd_head_k;
     const int64_t n_embd_k_gqa  = hparams.n_embd_k_gqa();
     const int64_t n_embd_head_v = hparams.n_embd_head_v;
+    const int64_t n_embd_v_gqa  = hparams.n_embd_v_gqa();
 
     struct ggml_tensor * q = ggml_permute(ctx, q_cur, 0, 2, 1, 3);
     cb(q, "q", il);
@@ -6631,23 +7004,23 @@ static struct ggml_tensor * llm_build_kqv(
         struct ggml_tensor * v =
             ggml_view_3d(ctx, kv.v_l[il],
                     n_embd_head_v, n_kv, n_head_kv,
-                    ggml_row_size(kv.v_l[il]->type, n_embd_k_gqa),
-                    ggml_row_size(kv.v_l[il]->type, n_embd_head_k),
+                    ggml_row_size(kv.v_l[il]->type, n_embd_v_gqa),
+                    ggml_row_size(kv.v_l[il]->type, n_embd_head_v),
                     0);
         cb(v, "v", il);
 
         cur = ggml_flash_attn_ext(ctx, q, k, v, kq_mask, kq_scale, hparams.f_max_alibi_bias);
 
-        if (model.arch == LLM_ARCH_PHI2 || model.arch == LLM_ARCH_PHI3) {
+        if (model.arch == LLM_ARCH_PHI2 || model.arch == LLM_ARCH_PHI3 || model.arch == LLM_ARCH_GPTNEOX) {
             ggml_flash_attn_ext_set_prec(cur, GGML_PREC_F32);
         }
 
-        cur = ggml_reshape_2d(ctx, cur, n_embd_head_k*n_head, n_tokens);
+        cur = ggml_reshape_2d(ctx, cur, n_embd_head_v*n_head, n_tokens);
     } else {
         struct ggml_tensor * kq = ggml_mul_mat(ctx, k, q);
         cb(kq, "kq", il);
 
-        if (model.arch == LLM_ARCH_PHI2 || model.arch == LLM_ARCH_PHI3) {
+        if (model.arch == LLM_ARCH_PHI2 || model.arch == LLM_ARCH_PHI3 || model.arch == LLM_ARCH_GPTNEOX) {
             // for this arch, we need to perform the KQ multiplication with F32 precision, otherwise we get NaNs
             // ref: https://github.com/ggerganov/llama.cpp/pull/4490#issuecomment-1859055847
             ggml_mul_mat_set_prec(kq, GGML_PREC_F32);
@@ -6687,7 +7060,7 @@ static struct ggml_tensor * llm_build_kqv(
         struct ggml_tensor * kqv_merged = ggml_permute(ctx, kqv, 0, 2, 1, 3);
         cb(kqv_merged, "kqv_merged", il);
 
-        cur = ggml_cont_2d(ctx, kqv_merged, n_embd_head_k*n_head, n_tokens);
+        cur = ggml_cont_2d(ctx, kqv_merged, n_embd_head_v*n_head, n_tokens);
         cb(cur, "kqv_merged_cont", il);
     }
 
@@ -6776,7 +7149,7 @@ struct llm_build_context {
     const int32_t n_kv;     // size of KV cache to consider (n_kv <= kv_self.size)
     const int32_t n_outputs;
     const int32_t kv_head;  // index of where we store new KV data in the cache
-    const int32_t n_orig_ctx;
+    const int32_t n_ctx_orig;
 
     const bool flash_attn;
 
@@ -6825,7 +7198,7 @@ struct llm_build_context {
         n_kv             (worst_case ? kv_self.size : kv_self.n),
         n_outputs        (worst_case ? n_tokens : lctx.n_outputs),
         kv_head          (worst_case ? (kv_self.recurrent ? 0 : kv_self.size - n_tokens) : kv_self.head),
-        n_orig_ctx       (cparams.n_yarn_orig_ctx),
+        n_ctx_orig       (cparams.n_ctx_orig_yarn),
         flash_attn       (cparams.flash_attn),
         pooling_type     (cparams.pooling_type),
         rope_type        (hparams.rope_type),
@@ -6872,17 +7245,20 @@ struct llm_build_context {
         cb(lctx.inp_K_shift, "K_shift", -1);
         ggml_set_input(lctx.inp_K_shift);
 
+
         for (int il = 0; il < n_layer; ++il) {
+            struct ggml_tensor * rope_factors = build_rope_factors(il);
             struct ggml_tensor * tmp =
                 // we rotate only the first n_rot dimensions
-                ggml_rope_custom_inplace(ctx0,
+                ggml_rope_ext_inplace(ctx0,
                         ggml_view_3d(ctx0, kv_self.k_l[il],
                             n_embd_head_k, n_head_kv, n_ctx,
                             ggml_row_size(kv_self.k_l[il]->type, n_embd_head_k),
                             ggml_row_size(kv_self.k_l[il]->type, n_embd_k_gqa),
                             0),
-                        lctx.inp_K_shift, n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                        lctx.inp_K_shift, rope_factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                         ext_factor, attn_factor, beta_fast, beta_slow);
+
             cb(tmp, "K_shifted", il);
             ggml_build_forward_expand(gf, tmp);
         }
@@ -6985,6 +7361,17 @@ struct llm_build_context {
         return lctx.inp_pos;
     }
 
+    struct ggml_tensor * build_rope_factors(int il) {
+        // choose long/short freq factors based on the context size
+        const auto n_ctx_pre_seq = cparams.n_ctx / cparams.n_seq_max;
+
+        if (n_ctx_pre_seq > hparams.n_ctx_orig_yarn) {
+            return model.layers[il].rope_long;
+        }
+
+        return model.layers[il].rope_short;
+    }
+
     struct ggml_tensor * build_inp_out_ids() {
         lctx.inp_out_ids = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_outputs);
         cb(lctx.inp_out_ids, "inp_out_ids", -1);
@@ -7092,16 +7479,16 @@ struct llm_build_context {
                     cb(Vcur, "Vcur", il);
                 }
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -7130,9 +7517,9 @@ struct llm_build_context {
                 cb(cur, "ffn_norm", il);
 
                 cur = llm_build_ffn(ctx0, cur,
-                        model.layers[il].ffn_up,   NULL,
-                        model.layers[il].ffn_gate, NULL,
-                        model.layers[il].ffn_down, NULL,
+                        model.layers[il].ffn_up,   model.layers[il].ffn_up_b,
+                        model.layers[il].ffn_gate, model.layers[il].ffn_gate_b,
+                        model.layers[il].ffn_down, model.layers[il].ffn_down_b,
                         NULL,
                         LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
                 cb(cur, "ffn_out", il);
@@ -7150,6 +7537,7 @@ struct llm_build_context {
                         model.layers[il].ffn_down_exps,
                         n_expert, n_expert_used,
                         LLM_FFN_SILU, true,
+                        false, 0.0,
                         cb, il);
                 cb(cur, "ffn_moe_out", il);
             }
@@ -7222,14 +7610,14 @@ struct llm_build_context {
 
                 switch (model.type) {
                     case MODEL_7B:
-                        Qcur = ggml_rope_custom(
-                            ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos,
-                            n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                        Qcur = ggml_rope_ext(
+                            ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
+                            n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                             ext_factor, attn_factor, beta_fast, beta_slow
                         );
-                        Kcur = ggml_rope_custom(
-                            ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                            n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                        Kcur = ggml_rope_ext(
+                            ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                            n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                             ext_factor, attn_factor, beta_fast, beta_slow
                         );
                         break;
@@ -7334,16 +7722,16 @@ struct llm_build_context {
                 struct ggml_tensor * Vcur = ggml_mul_mat(ctx0, model.layers[il].wv, cur);
                 cb(Vcur, "Vcur", il);
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -7455,14 +7843,14 @@ struct llm_build_context {
                 Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
 
                 // using mode = 2 for neox mode
-                Qcur = ggml_rope_custom(
-                    ctx0, Qcur, inp_pos, n_rot, rope_type, 0, n_orig_ctx,
+                Qcur = ggml_rope_ext(
+                    ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, Kcur, inp_pos, n_rot, rope_type, 0, n_orig_ctx,
+                Kcur = ggml_rope_ext(
+                    ctx0, Kcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -7578,16 +7966,16 @@ struct llm_build_context {
                     cb(Vcur, "Vcur", il);
                 }
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -7631,6 +8019,7 @@ struct llm_build_context {
                     model.layers[il].ffn_down_exps,
                     n_expert, n_expert_used,
                     LLM_FFN_GELU, true,
+                    false, 0.0,
                     cb, il);
             cb(cur, "ffn_moe_out", il);
 
@@ -7730,16 +8119,16 @@ struct llm_build_context {
                 cb(Kcur, "Kcur", il);
                 cb(Vcur, "Vcur", il);
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -7774,6 +8163,7 @@ struct llm_build_context {
                     model.layers[il].ffn_down_exps,
                     n_expert, n_expert_used,
                     LLM_FFN_SILU, true,
+                    false, 0.0,
                     cb, il);
             cb(cur, "ffn_moe_out", il);
 
@@ -7907,213 +8297,6 @@ struct llm_build_context {
         return gf;
     }
 
-    struct ggml_cgraph * build_persimmon() {
-        struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
-
-        const int64_t n_embd_head = hparams.n_embd_head_v;
-        GGML_ASSERT(n_embd_head   == hparams.n_embd_head_k);
-        GGML_ASSERT(n_embd_head/2 == hparams.n_rot);
-
-        struct ggml_tensor * cur;
-        struct ggml_tensor * inpL;
-
-        inpL = llm_build_inp_embd(ctx0, lctx, hparams, batch, model.tok_embd, cb);
-
-        // inp_pos - contains the positions
-        struct ggml_tensor * inp_pos = build_inp_pos();
-
-        // KQ_mask (mask for 1 head, it will be broadcasted to all heads)
-        struct ggml_tensor * KQ_mask = build_inp_KQ_mask();
-
-        for (int il = 0; il < n_layer; ++il) {
-            struct ggml_tensor * residual = inpL;
-
-            cur = llm_build_norm(ctx0, inpL, hparams,
-                    model.layers[il].attn_norm,
-                    model.layers[il].attn_norm_b,
-                    LLM_NORM, cb, il);
-            cb(cur, "attn_norm", il);
-
-            // self attention
-            {
-                cur = ggml_mul_mat(ctx0, model.layers[il].wqkv, cur);
-                cb(cur, "wqkv", il);
-
-                cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-                cb(cur, "bqkv", il);
-
-                // split qkv
-                GGML_ASSERT(n_head_kv == n_head);
-
-                struct ggml_tensor * tmpqkv = ggml_reshape_4d(ctx0, cur, n_embd_head, 3, n_head, n_tokens);
-                cb(tmpqkv, "tmpqkv", il);
-
-                struct ggml_tensor * tmpqkv_perm = ggml_cont(ctx0, ggml_permute(ctx0, tmpqkv, 0, 3, 1, 2));
-                cb(tmpqkv_perm, "tmpqkv", il);
-
-                struct ggml_tensor * tmpq = ggml_view_3d(
-                        ctx0, tmpqkv_perm, n_embd_head, n_head, n_tokens,
-                        ggml_element_size(tmpqkv_perm) * n_embd_head,
-                        ggml_element_size(tmpqkv_perm) * n_embd_head * n_head,
-                        0
-                        );
-                cb(tmpq, "tmpq", il);
-
-                struct ggml_tensor * tmpk = ggml_view_3d(
-                        ctx0, tmpqkv_perm, n_embd_head, n_head, n_tokens,
-                        ggml_element_size(tmpqkv_perm) * n_embd_head,
-                        ggml_element_size(tmpqkv_perm) * n_embd_head * n_head,
-                        ggml_element_size(tmpqkv_perm) * n_embd_head * n_head * n_tokens
-                        );
-                cb(tmpk, "tmpk", il);
-
-                // Q/K Layernorm
-                tmpq = llm_build_norm(ctx0, tmpq, hparams,
-                        model.layers[il].attn_q_norm,
-                        model.layers[il].attn_q_norm_b,
-                        LLM_NORM, cb, il);
-                cb(tmpq, "tmpq", il);
-
-                tmpk = llm_build_norm(ctx0, tmpk, hparams,
-                        model.layers[il].attn_k_norm,
-                        model.layers[il].attn_k_norm_b,
-                        LLM_NORM, cb, il);
-                cb(tmpk, "tmpk", il);
-
-                // RoPE the first n_rot of q/k, pass the other half, and concat.
-                struct ggml_tensor * qrot = ggml_view_3d(
-                        ctx0, tmpq, n_rot, n_head, n_tokens,
-                        ggml_element_size(tmpq) * n_embd_head,
-                        ggml_element_size(tmpq) * n_embd_head * n_head,
-                        0
-                        );
-                cb(qrot, "qrot", il);
-
-                struct ggml_tensor * krot = ggml_view_3d(
-                        ctx0, tmpk, n_rot, n_head, n_tokens,
-                        ggml_element_size(tmpk) * n_embd_head,
-                        ggml_element_size(tmpk) * n_embd_head * n_head,
-                        0
-                        );
-                cb(krot, "krot", il);
-
-                // get the second half of tmpq, e.g tmpq[n_rot:, :, :]
-                struct ggml_tensor * qpass = ggml_view_3d(
-                        ctx0, tmpq, n_rot, n_head, n_tokens,
-                        ggml_element_size(tmpq) * n_embd_head,
-                        ggml_element_size(tmpq) * n_embd_head * n_head,
-                        ggml_element_size(tmpq) * n_rot
-                        );
-                cb(qpass, "qpass", il);
-
-                struct ggml_tensor * kpass = ggml_view_3d(
-                        ctx0, tmpk, n_rot, n_head, n_tokens,
-                        ggml_element_size(tmpk) * n_embd_head,
-                        ggml_element_size(tmpk) * n_embd_head * n_head,
-                        ggml_element_size(tmpk) * n_rot
-                        );
-                cb(kpass, "kpass", il);
-
-                struct ggml_tensor * qrotated = ggml_rope_custom(
-                    ctx0, qrot, inp_pos, n_rot, rope_type, 0, n_orig_ctx,
-                    freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
-                );
-                cb(qrotated, "qrotated", il);
-
-                struct ggml_tensor * krotated = ggml_rope_custom(
-                    ctx0, krot, inp_pos, n_rot, rope_type, 0, n_orig_ctx,
-                    freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
-                );
-                cb(krotated, "krotated", il);
-
-                // ggml currently only supports concatenation on dim=2
-                // so we need to permute qrot, qpass, concat, then permute back.
-                qrotated = ggml_cont(ctx0, ggml_permute(ctx0, qrotated, 2, 1, 0, 3));
-                cb(qrotated, "qrotated", il);
-
-                krotated = ggml_cont(ctx0, ggml_permute(ctx0, krotated, 2, 1, 0, 3));
-                cb(krotated, "krotated", il);
-
-                qpass = ggml_cont(ctx0, ggml_permute(ctx0, qpass, 2, 1, 0, 3));
-                cb(qpass, "qpass", il);
-
-                kpass = ggml_cont(ctx0, ggml_permute(ctx0, kpass, 2, 1, 0, 3));
-                cb(kpass, "kpass", il);
-
-                struct ggml_tensor * Qcur = ggml_concat(ctx0, qrotated, qpass);
-                cb(Qcur, "Qcur", il);
-
-                struct ggml_tensor * Kcur = ggml_concat(ctx0, krotated, kpass);
-                cb(Kcur, "Kcur", il);
-
-                struct ggml_tensor * Q = ggml_cont(ctx0, ggml_permute(ctx0, Qcur, 2, 1, 0, 3));
-                cb(Q, "Q", il);
-
-                Kcur = ggml_cont(ctx0, ggml_permute(ctx0, Kcur, 2, 1, 0, 3));
-                cb(Kcur, "Kcur", il);
-
-                struct ggml_tensor * Vcur = ggml_view_3d(
-                        ctx0, tmpqkv_perm, n_embd_head, n_head, n_tokens,
-                        ggml_element_size(tmpqkv_perm) * n_embd_head,
-                        ggml_element_size(tmpqkv_perm) * n_embd_head * n_head,
-                        ggml_element_size(tmpqkv_perm) * n_embd_head * n_head * n_tokens * 2
-                        );
-                cb(Vcur, "Vcur", il);
-
-                cur = llm_build_kv(ctx0, model, hparams, cparams, kv_self, gf,
-                        model.layers[il].wo, model.layers[il].bo,
-                        Kcur, Vcur, Q, KQ_mask, n_tokens, kv_head, n_kv, 1.0f/sqrtf(float(n_embd_head)), cb, il);
-            }
-
-            if (il == n_layer - 1) {
-                // skip computing output for unused tokens
-                struct ggml_tensor * inp_out_ids = build_inp_out_ids();
-                cur      = ggml_get_rows(ctx0,      cur, inp_out_ids);
-                residual = ggml_get_rows(ctx0, residual, inp_out_ids);
-            }
-
-            struct ggml_tensor * ffn_inp = ggml_add(ctx0, residual, cur);
-            cb(ffn_inp, "ffn_inp", il);
-
-            // feed-forward network
-            {
-                cur = llm_build_norm(ctx0, ffn_inp, hparams,
-                        model.layers[il].ffn_norm,
-                        model.layers[il].ffn_norm_b,
-                        LLM_NORM, cb, il);
-                cb(cur, "ffn_norm", il);
-
-                cur = llm_build_ffn(ctx0, cur,
-                        model.layers[il].ffn_up,   model.layers[il].ffn_up_b,
-                        NULL,                      NULL,
-                        model.layers[il].ffn_down, model.layers[il].ffn_down_b,
-                        NULL,
-                        LLM_FFN_RELU_SQR, LLM_FFN_SEQ, cb, il);
-                cb(cur, "ffn_out", il);
-            }
-
-            cur = ggml_add(ctx0, cur, ffn_inp);
-            cb(cur, "l_out", il);
-
-            inpL = cur;
-        }
-
-        cur = inpL;
-
-        cur = llm_build_norm(ctx0, cur, hparams,
-                model.output_norm,
-                model.output_norm_b,
-                LLM_NORM, cb, -1);
-        cb(cur, "result_norm", -1);
-
-        cur = ggml_mul_mat(ctx0, model.output, cur);
-        cb(cur, "result_output", -1);
-
-        ggml_build_forward_expand(gf, cur);
-
-        return gf;
-    }
-
     struct ggml_cgraph * build_refact() {
         struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
 
@@ -8290,16 +8473,16 @@ struct llm_build_context {
                 cb(Kcur, "Kcur", il);
                 cb(Vcur, "Vcur", il);
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -8351,6 +8534,12 @@ struct llm_build_context {
             // attention layer norm
             cur = llm_build_norm(ctx0, cur, hparams, model.layers[il].attn_out_norm, model.layers[il].attn_out_norm_b, LLM_NORM, cb, il);
 
+            if (model.layers[il].attn_norm_2 != nullptr) {
+                            // re-add the layer input
+                cur = ggml_add(ctx0, cur, inpL);
+                cur = llm_build_norm(ctx0, cur, hparams, model.layers[il].attn_norm_2, model.layers[il].attn_norm_2_b, LLM_NORM, cb, il);
+            }
+
             struct ggml_tensor * ffn_inp = cur;
             cb(ffn_inp, "ffn_inp", il);
 
@@ -8730,16 +8919,16 @@ struct llm_build_context {
                 }
 
 
-                Qcur = ggml_rope_custom(
-                    ctx0, Qcur, inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, Qcur, inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, Kcur, inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, Kcur, inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -8850,14 +9039,14 @@ struct llm_build_context {
                 Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
 
                 // using mode = 2 for neox mode
-                Qcur = ggml_rope_custom(
-                    ctx0, Qcur, inp_pos, n_rot, rope_type, 0, n_orig_ctx,
+                Qcur = ggml_rope_ext(
+                    ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, Kcur, inp_pos, n_rot, rope_type, 0, n_orig_ctx,
+                Kcur = ggml_rope_ext(
+                    ctx0, Kcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -8961,16 +9150,16 @@ struct llm_build_context {
                 Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
                 cb(Vcur, "Vcur", il);
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9075,16 +9264,16 @@ struct llm_build_context {
                 Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
                 cb(Vcur, "Vcur", il);
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9119,6 +9308,7 @@ struct llm_build_context {
                         model.layers[il].ffn_down_exps,
                         n_expert, n_expert_used,
                         LLM_FFN_SILU, false,
+                        false, 0.0,
                         cb, il);
             cb(cur, "ffn_moe_out", il);
 
@@ -9227,8 +9417,8 @@ struct llm_build_context {
                 Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
                 Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
 
-                Qcur = ggml_rope_custom(
-                    ctx0, Qcur, inp_pos, n_rot, rope_type, 0, n_orig_ctx,
+                Qcur = ggml_rope_ext(
+                    ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
@@ -9238,8 +9428,8 @@ struct llm_build_context {
                 Qcur = ggml_scale(ctx0, Qcur, 1.0f/sqrtf(float(n_embd_head)));
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, Kcur, inp_pos, n_rot, rope_type, 0, n_orig_ctx,
+                Kcur = ggml_rope_ext(
+                    ctx0, Kcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9315,6 +9505,9 @@ struct llm_build_context {
 
             // self-attention
             {
+                // rope freq factors for 128k context
+                struct ggml_tensor * rope_factors = build_rope_factors(il);
+
                 struct ggml_tensor* attn_norm_output = llm_build_norm(ctx0, inpL, hparams,
                     model.layers[il].attn_norm,
                     NULL,
@@ -9346,8 +9539,8 @@ struct llm_build_context {
                 Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
                 Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
 
-                Qcur = ggml_rope_custom(
-                    ctx0, Qcur, inp_pos, n_rot, rope_type, 0, n_orig_ctx,
+                Qcur = ggml_rope_ext(
+                    ctx0, Qcur, inp_pos, rope_factors, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
@@ -9355,8 +9548,8 @@ struct llm_build_context {
                 Qcur = ggml_scale(ctx0, Qcur, 1.0f / sqrtf(float(n_embd_head)));
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, Kcur, inp_pos, n_rot, rope_type, 0, n_orig_ctx,
+                Kcur = ggml_rope_ext(
+                    ctx0, Kcur, inp_pos, rope_factors, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9462,15 +9655,15 @@ struct llm_build_context {
                 struct ggml_tensor * Vcur = ggml_mul_mat(ctx0, model.layers[il].wv, cur);
                 cb(Vcur, "Vcur", il);
 
-                Qcur = ggml_rope_custom(
-                        ctx0, ggml_reshape_3d(ctx0, Qcur, n_rot, n_head,    n_tokens), inp_pos,
-                        n_embd_head, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                        ctx0, ggml_reshape_3d(ctx0, Qcur, n_rot, n_head,    n_tokens), inp_pos, nullptr,
+                        n_embd_head, rope_type, n_ctx_orig, freq_base, freq_scale,
                         ext_factor, attn_factor, beta_fast, beta_slow);
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                        ctx0, ggml_reshape_3d(ctx0, Kcur, n_rot, n_head_kv, n_tokens), inp_pos,
-                        n_embd_head, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                        ctx0, ggml_reshape_3d(ctx0, Kcur, n_rot, n_head_kv, n_tokens), inp_pos, nullptr,
+                        n_embd_head, rope_type, n_ctx_orig, freq_base, freq_scale,
                         ext_factor, attn_factor, beta_fast, beta_slow);
                 cb(Kcur, "Kcur", il);
 
@@ -9670,16 +9863,16 @@ struct llm_build_context {
                 cb(tmpk, "tmpk", il);
                 cb(Vcur, "Vcur", il);
 
-                struct ggml_tensor * Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, tmpq, n_embd_head, n_head,    n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                struct ggml_tensor * Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, tmpq, n_embd_head, n_head,    n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                struct ggml_tensor * Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, tmpk, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                struct ggml_tensor * Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, tmpk, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9786,16 +9979,16 @@ struct llm_build_context {
                 //     cb(Vcur, "Vcur", il);
                 // }
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9903,16 +10096,16 @@ struct llm_build_context {
                     cb(Vcur, "Vcur", il);
                 }
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -10033,16 +10226,16 @@ struct llm_build_context {
                     cb(Vcur, "Vcur", il);
                 }
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -10107,7 +10300,7 @@ struct llm_build_context {
         cb(cur, "lmhead_scaling", -1);
 
         // lm_head
-        cur = ggml_mul_mat(ctx0, model.tok_embd, cur);
+        cur = ggml_mul_mat(ctx0, model.output, cur);
         cb(cur, "result_output", -1);
 
         ggml_build_forward_expand(gf, cur);
@@ -10153,18 +10346,18 @@ struct llm_build_context {
                 struct ggml_tensor * Vcur = ggml_mul_mat(ctx0, model.layers[il].wv, cur);
                 cb(Vcur, "Vcur", il);
 
-                Qcur = ggml_rope_custom(
-                        ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head_k, n_head,    n_tokens), inp_pos,
-                        n_embd_head_k, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                        ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head_k, n_head,    n_tokens), inp_pos, nullptr,
+                        n_embd_head_k, rope_type, n_ctx_orig, freq_base, freq_scale,
                         ext_factor, attn_factor, beta_fast, beta_slow);
                 cb(Qcur, "Qcur", il);
 
                 Qcur = ggml_scale(ctx0, Qcur, 1.0f / sqrtf(float(n_embd_head_k)));
                 cb(Qcur, "Qcur_scaled", il);
 
-                Kcur = ggml_rope_custom(
-                        ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head_k, n_head_kv, n_tokens), inp_pos,
-                        n_embd_head_k, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                        ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head_k, n_head_kv, n_tokens), inp_pos, nullptr,
+                        n_embd_head_k, rope_type, n_ctx_orig, freq_base, freq_scale,
                         ext_factor, attn_factor, beta_fast, beta_slow);
                 cb(Kcur, "Kcur", il);
 
@@ -10273,16 +10466,16 @@ struct llm_build_context {
                     cb(Vcur, "Vcur", il);
                 }
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -10563,16 +10756,16 @@ struct llm_build_context {
                     cb(Kcur, "Kcur", il);
                 }
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -10694,16 +10887,16 @@ struct llm_build_context {
                     cb(Vcur, "Vcur", il);
                 }
 
-                Qcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
-                Kcur = ggml_rope_custom(
-                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -10766,6 +10959,508 @@ struct llm_build_context {
 
         return gf;
     }
+
+    struct ggml_cgraph * build_gptneox() {
+        struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
+
+        const int64_t n_embd_head = hparams.n_embd_head_v;
+        const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
+        GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+
+        struct ggml_tensor * cur;
+        struct ggml_tensor * inpL;
+
+        inpL = llm_build_inp_embd(ctx0, lctx, hparams, batch, model.tok_embd, cb);
+
+        // inp_pos - contains the positions
+        struct ggml_tensor * inp_pos = build_inp_pos();
+
+        // KQ_mask (mask for 1 head, it will be broadcasted to all heads)
+        struct ggml_tensor * KQ_mask = build_inp_KQ_mask();
+
+        for (int il = 0; il < n_layer; ++il) {
+            cur = llm_build_norm(ctx0, inpL, hparams,
+                    model.layers[il].attn_norm,
+                    model.layers[il].attn_norm_b,
+                    LLM_NORM, cb, il);
+            cb(cur, "attn_norm", il);
+
+            // self-attention
+            {
+                cur = ggml_mul_mat(ctx0, model.layers[il].wqkv, cur);
+                cb(cur, "wqkv", il);
+
+                cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
+                cb(cur, "bqkv", il);
+
+                struct ggml_tensor * Qcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd,     n_tokens, cur->nb[1], 0*sizeof(float)*(n_embd)));
+                struct ggml_tensor * Kcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd_gqa, n_tokens, cur->nb[1], 1*sizeof(float)*(n_embd)));
+                struct ggml_tensor * Vcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd_gqa, n_tokens, cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa)));
+
+                cb(Qcur, "Qcur", il);
+                cb(Kcur, "Kcur", il);
+                cb(Vcur, "Vcur", il);
+
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                );
+                cb(Qcur, "Qcur", il);
+
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                );
+                cb(Kcur, "Kcur", il);
+
+                cur = llm_build_kv(ctx0, model, hparams, cparams, kv_self, gf,
+                        model.layers[il].wo, model.layers[il].bo,
+                        Kcur, Vcur, Qcur, KQ_mask, n_tokens, kv_head, n_kv, 1.0f/sqrtf(float(n_embd_head)), cb, il);
+            }
+
+            if (il == n_layer - 1) {
+                // skip computing output for unused tokens
+                struct ggml_tensor * inp_out_ids = build_inp_out_ids();
+                cur  = ggml_get_rows(ctx0,  cur, inp_out_ids);
+                inpL = ggml_get_rows(ctx0, inpL, inp_out_ids);
+            }
+
+            // ffn
+            if (hparams.use_par_res) {
+                // attention and ffn are computed in parallel
+                // x = x + attn(ln1(x)) + ffn(ln2(x))
+
+                struct ggml_tensor * attn_out = cur;
+
+                cur = llm_build_norm(ctx0, inpL, hparams,
+                        model.layers[il].ffn_norm,
+                        model.layers[il].ffn_norm_b,
+                        LLM_NORM, cb, il);
+                cb(cur, "ffn_norm", il);
+
+                cur = llm_build_ffn(ctx0, cur,
+                        model.layers[il].ffn_up,   model.layers[il].ffn_up_b,
+                        NULL,                      NULL,
+                        model.layers[il].ffn_down, model.layers[il].ffn_down_b,
+                        NULL,
+                        LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
+                cb(cur, "ffn_out", il);
+
+                cur = ggml_add(ctx0, cur, inpL);
+                cb(cur, "ffn_out", il);
+
+                inpL = ggml_add(ctx0, cur, attn_out);
+                cb(inpL, "l_out", il);
+            } else {
+                // attention and ffn are computed sequentially
+                // x = x + attn(ln1(x))
+                // x = x + ffn(ln2(x))
+
+                struct ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpL);
+                cb(ffn_inp, "ffn_inp", il);
+
+                cur = llm_build_norm(ctx0, ffn_inp, hparams,
+                        model.layers[il].ffn_norm,
+                        model.layers[il].ffn_norm_b,
+                        LLM_NORM, cb, il);
+                cb(cur, "ffn_norm", il);
+
+                cur = llm_build_ffn(ctx0, cur,
+                        model.layers[il].ffn_up,   model.layers[il].ffn_up_b,
+                        NULL,                      NULL,
+                        model.layers[il].ffn_down, model.layers[il].ffn_down_b,
+                        NULL,
+                        LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
+                cb(cur, "ffn_out", il);
+
+                inpL = ggml_add(ctx0, cur, ffn_inp);
+                cb(inpL, "l_out", il);
+            }
+        }
+
+        cur = llm_build_norm(ctx0, inpL, hparams,
+                model.output_norm,
+                model.output_norm_b,
+                LLM_NORM, cb, -1);
+        cb(cur, "result_norm", -1);
+
+        cur = ggml_mul_mat(ctx0, model.output, cur);
+        cb(cur, "result_output", -1);
+
+        ggml_build_forward_expand(gf, cur);
+
+        return gf;
+    }
+
+    struct ggml_cgraph * build_arctic() {
+        struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
+
+        // mutable variable, needed during the last layer of the computation to skip unused tokens
+        int32_t n_tokens = this->n_tokens;
+
+        const int64_t n_embd_head = hparams.n_embd_head_v;
+        GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+        GGML_ASSERT(n_embd_head == hparams.n_rot);
+
+        struct ggml_tensor * cur;
+        struct ggml_tensor * inpL;
+
+        inpL = llm_build_inp_embd(ctx0, lctx, hparams, batch, model.tok_embd, cb);
+
+        // inp_pos - contains the positions
+        struct ggml_tensor * inp_pos = build_inp_pos();
+
+        // KQ_mask (mask for 1 head, it will be broadcasted to all heads)
+        struct ggml_tensor * KQ_mask = build_inp_KQ_mask();
+
+        for (int il = 0; il < n_layer; ++il) {
+            struct ggml_tensor * inpSA = inpL;
+
+            // norm
+            cur = llm_build_norm(ctx0, inpL, hparams,
+                    model.layers[il].attn_norm, NULL,
+                    LLM_NORM_RMS, cb, il);
+            cb(cur, "attn_norm", il);
+
+            // self-attention
+            {
+                // compute Q and K and RoPE them
+                struct ggml_tensor * Qcur = ggml_mul_mat(ctx0, model.layers[il].wq, cur);
+                cb(Qcur, "Qcur", il);
+
+                struct ggml_tensor * Kcur = ggml_mul_mat(ctx0, model.layers[il].wk, cur);
+                cb(Kcur, "Kcur", il);
+
+                struct ggml_tensor * Vcur = ggml_mul_mat(ctx0, model.layers[il].wv, cur);
+                cb(Vcur, "Vcur", il);
+
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                );
+                cb(Qcur, "Qcur", il);
+
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                );
+                cb(Kcur, "Kcur", il);
+
+                cur = llm_build_kv(ctx0, model, hparams, cparams, kv_self, gf,
+                        model.layers[il].wo, NULL,
+                        Kcur, Vcur, Qcur, KQ_mask, n_tokens, kv_head, n_kv, 1.0f/sqrtf(float(n_embd_head)), cb, il);
+            }
+
+            if (il == n_layer - 1) {
+                // skip computing output for unused tokens
+                struct ggml_tensor * inp_out_ids = build_inp_out_ids();
+                n_tokens = n_outputs;
+                cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
+                inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
+            }
+
+            struct ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
+            cb(ffn_inp, "ffn_inp", il);
+
+            // feed-forward network
+            cur = llm_build_norm(ctx0, ffn_inp, hparams,
+                    model.layers[il].ffn_norm, NULL,
+                    LLM_NORM_RMS, cb, il);
+            cb(cur, "ffn_norm", il);
+
+            cur = llm_build_ffn(ctx0, cur,
+                    model.layers[il].ffn_up,   NULL,
+                    model.layers[il].ffn_gate, NULL,
+                    model.layers[il].ffn_down, NULL,
+                    NULL,
+                    LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
+            cb(cur, "ffn_out", il);
+
+            struct ggml_tensor * ffn_out = ggml_add(ctx0, cur, ffn_inp);
+            cb(ffn_out, "ffn_out", il);
+
+            // MoE
+            cur = llm_build_norm(ctx0, inpSA, hparams,
+                    model.layers[il].ffn_norm_exps, NULL,
+                    LLM_NORM_RMS, cb, il);
+            cb(cur, "ffn_norm_exps", il);
+
+            cur = llm_build_moe_ffn(ctx0, cur,
+                    model.layers[il].ffn_gate_inp,
+                    model.layers[il].ffn_up_exps,
+                    model.layers[il].ffn_gate_exps,
+                    model.layers[il].ffn_down_exps,
+                    n_expert, n_expert_used,
+                    LLM_FFN_SILU, true,
+                    false, 0.0,
+                    cb, il);
+            cb(cur, "ffn_moe_out", il);
+
+            cur = ggml_add(ctx0, cur, ffn_out);
+            cb(cur, "ffn_out", il);
+
+            ggml_tensor * layer_dir = lctx.cvec.tensor_for(il);
+            if (layer_dir != nullptr) {
+                cur = ggml_add(ctx0, cur, layer_dir);
+            }
+            cb(cur, "l_out", il);
+
+            // input for next layer
+            inpL = cur;
+        }
+
+        cur = inpL;
+
+        cur = llm_build_norm(ctx0, cur, hparams,
+                model.output_norm, NULL,
+                LLM_NORM_RMS, cb, -1);
+        cb(cur, "result_norm", -1);
+
+        // lm_head
+        cur = ggml_mul_mat(ctx0, model.output, cur);
+        cb(cur, "result_output", -1);
+
+        ggml_build_forward_expand(gf, cur);
+
+        return gf;
+    }
+
+    struct ggml_cgraph * build_deepseek2() {
+        struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
+
+        // mutable variable, needed during the last layer of the computation to skip unused tokens
+        int32_t n_tokens = this->n_tokens;
+
+        bool is_lite = (hparams.n_layer == 27);
+
+        // We have to pre-scale kq_scale and attn_factor to make the YaRN RoPE work correctly.
+        // See https://github.com/ggerganov/llama.cpp/discussions/7416 for detailed explanation.
+        const float mscale = attn_factor * (1.0f + hparams.rope_yarn_log_mul * logf(1.0f / freq_scale));
+        const float kq_scale = 1.0f*mscale*mscale/sqrtf(float(hparams.n_embd_head_k));
+        const float attn_factor_scaled = 1.0f / (1.0f + 0.1f * logf(1.0f / freq_scale));
+
+        const uint32_t n_embd_head_qk_rope = hparams.n_rot;
+        const uint32_t n_embd_head_qk_nope = hparams.n_embd_head_k - hparams.n_rot;
+        const uint32_t kv_lora_rank = hparams.n_lora_kv;
+
+        struct ggml_tensor * cur;
+        struct ggml_tensor * inpL;
+
+        // {n_embd, n_tokens}
+        inpL = llm_build_inp_embd(ctx0, lctx, hparams, batch, model.tok_embd, cb);
+
+        // inp_pos - contains the positions
+        struct ggml_tensor * inp_pos = build_inp_pos();
+
+        // KQ_mask (mask for 1 head, it will be broadcasted to all heads)
+        struct ggml_tensor * KQ_mask = build_inp_KQ_mask();
+
+        for (int il = 0; il < n_layer; ++il) {
+            struct ggml_tensor * inpSA = inpL;
+
+            // norm
+            cur = llm_build_norm(ctx0, inpL, hparams,
+                    model.layers[il].attn_norm, NULL,
+                    LLM_NORM_RMS, cb, il);
+            cb(cur, "attn_norm", il);
+
+            // self_attention
+            {
+                struct ggml_tensor * q = NULL;
+                if (!is_lite) {
+                    // {n_embd, q_lora_rank} * {n_embd, n_tokens} -> {q_lora_rank, n_tokens}
+                    q = ggml_mul_mat(ctx0, model.layers[il].wq_a, cur);
+                    cb(q, "q", il);
+
+                    q = llm_build_norm(ctx0, q, hparams,
+                            model.layers[il].attn_q_a_norm, NULL,
+                            LLM_NORM_RMS, cb, il);
+                    cb(q, "q", il);
+
+                    // {q_lora_rank, n_head * hparams.n_embd_head_k} * {q_lora_rank, n_tokens} -> {n_head * hparams.n_embd_head_k, n_tokens}
+                    q = ggml_mul_mat(ctx0, model.layers[il].wq_b, q);
+                    cb(q, "q", il);
+                } else {
+                    q = ggml_mul_mat(ctx0, model.layers[il].wq, cur);
+                    cb(q, "q", il);
+                }
+
+                // split into {n_head * n_embd_head_qk_nope, n_tokens}
+                struct ggml_tensor * q_nope = ggml_view_3d(ctx0, q, n_embd_head_qk_nope, n_head, n_tokens,
+                        ggml_row_size(q->type, hparams.n_embd_head_k),
+                        ggml_row_size(q->type, hparams.n_embd_head_k * n_head),
+                        0);
+                cb(q_nope, "q_nope", il);
+
+                // and {n_head * n_embd_head_qk_rope, n_tokens}
+                struct ggml_tensor * q_pe = ggml_view_3d(ctx0, q, n_embd_head_qk_rope, n_head, n_tokens,
+                        ggml_row_size(q->type, hparams.n_embd_head_k),
+                        ggml_row_size(q->type, hparams.n_embd_head_k * n_head),
+                        ggml_row_size(q->type, n_embd_head_qk_nope));
+                cb(q_pe, "q_pe", il);
+
+                // {n_embd, kv_lora_rank + n_embd_head_qk_rope} * {n_embd, n_tokens} -> {kv_lora_rank + n_embd_head_qk_rope, n_tokens}
+                struct ggml_tensor * kv_pe_compresseed = ggml_mul_mat(ctx0, model.layers[il].wkv_a_mqa, cur);
+                cb(kv_pe_compresseed, "kv_pe_compresseed", il);
+
+                // split into {kv_lora_rank, n_tokens}
+                struct ggml_tensor * kv_compressed = ggml_view_2d(ctx0, kv_pe_compresseed, kv_lora_rank, n_tokens,
+                        kv_pe_compresseed->nb[1],
+                        0);
+                cb(kv_compressed, "kv_compressed", il);
+
+                // and {n_embd_head_qk_rope, n_tokens}
+                struct ggml_tensor * k_pe = ggml_view_3d(ctx0, kv_pe_compresseed, n_embd_head_qk_rope, 1, n_tokens,
+                        kv_pe_compresseed->nb[1],
+                        kv_pe_compresseed->nb[1],
+                        ggml_row_size(kv_pe_compresseed->type, kv_lora_rank));
+                cb(k_pe, "k_pe", il);
+
+                kv_compressed = ggml_cont(ctx0, kv_compressed); // TODO: the CUDA backend does not support non-contiguous norm
+                kv_compressed = llm_build_norm(ctx0, kv_compressed, hparams,
+                        model.layers[il].attn_kv_a_norm, NULL,
+                        LLM_NORM_RMS, cb, il);
+                cb(kv_compressed, "kv_compressed", il);
+
+                // {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v)} * {kv_lora_rank, n_tokens} -> {n_head * (n_embd_head_qk_nope + n_embd_head_v), n_tokens}
+                struct ggml_tensor * kv = ggml_mul_mat(ctx0, model.layers[il].wkv_b, kv_compressed);
+                cb(kv, "kv", il);
+
+                // split into {n_head * n_embd_head_qk_nope, n_tokens}
+                struct ggml_tensor * k_nope = ggml_view_3d(ctx0, kv, n_embd_head_qk_nope, n_head, n_tokens,
+                        ggml_row_size(kv->type, n_embd_head_qk_nope + hparams.n_embd_head_v),
+                        ggml_row_size(kv->type, n_head * (n_embd_head_qk_nope + hparams.n_embd_head_v)),
+                        0);
+                cb(k_nope, "k_nope", il);
+
+                // and {n_head * n_embd_head_v, n_tokens}
+                struct ggml_tensor * v_states = ggml_view_3d(ctx0, kv, hparams.n_embd_head_v, n_head, n_tokens,
+                        ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v)),
+                        ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v)*n_head),
+                        ggml_row_size(kv->type, (n_embd_head_qk_nope)));
+                cb(v_states, "v_states", il);
+
+                v_states = ggml_cont(ctx0, v_states);
+                cb(v_states, "v_states", il);
+
+                v_states = ggml_view_2d(ctx0, v_states, hparams.n_embd_head_v * n_head, n_tokens,
+                    ggml_row_size(kv->type, hparams.n_embd_head_v * n_head),
+                    0);
+                cb(v_states, "v_states", il);
+
+                q_pe = ggml_cont(ctx0, q_pe); // TODO: the CUDA backend does not support non-contiguous RoPE
+                q_pe = ggml_rope_ext(
+                    ctx0, q_pe, inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor_scaled, beta_fast, beta_slow
+                );
+                cb(q_pe, "q_pe", il);
+
+                // shared RoPE key
+                k_pe = ggml_cont(ctx0, k_pe); // TODO: the CUDA backend does not support non-contiguous RoPE
+                k_pe = ggml_rope_ext(
+                    ctx0, k_pe, inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor_scaled, beta_fast, beta_slow
+                );
+                cb(k_pe, "k_pe", il);
+
+                struct ggml_tensor * q_states = ggml_concat(ctx0, q_nope, q_pe, 0);
+                cb(q_states, "q_states", il);
+
+                struct ggml_tensor * k_states = ggml_concat(ctx0, k_nope, ggml_repeat(ctx0, k_pe, q_pe), 0);
+                cb(k_states, "k_states", il);
+
+                cur = llm_build_kv(ctx0, model, hparams, cparams, kv_self, gf,
+                        model.layers[il].wo, NULL,
+                        k_states, v_states, q_states, KQ_mask, n_tokens, kv_head, n_kv, kq_scale, cb, il);
+            }
+
+            if (il == n_layer - 1) {
+                // skip computing output for unused tokens
+                struct ggml_tensor * inp_out_ids = build_inp_out_ids();
+                n_tokens = n_outputs;
+                cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
+                inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
+            }
+
+            struct ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
+            cb(ffn_inp, "ffn_inp", il);
+
+            if ((uint32_t) il < hparams.n_layer_dense_lead) {
+                cur = llm_build_norm(ctx0, ffn_inp, hparams,
+                        model.layers[il].ffn_norm, NULL,
+                        LLM_NORM_RMS, cb, il);
+                cb(cur, "ffn_norm", il);
+
+                cur = llm_build_ffn(ctx0, cur,
+                        model.layers[il].ffn_up,   NULL,
+                        model.layers[il].ffn_gate, NULL,
+                        model.layers[il].ffn_down, NULL,
+                        NULL,
+                        LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
+                cb(cur, "ffn_out", il);
+            } else {
+                // MoE branch
+                cur = llm_build_norm(ctx0, ffn_inp, hparams,
+                        model.layers[il].ffn_norm, NULL,
+                        LLM_NORM_RMS, cb, il);
+                cb(cur, "ffn_norm", il);
+
+                ggml_tensor * moe_out =
+                        llm_build_moe_ffn(ctx0, cur,
+                            model.layers[il].ffn_gate_inp,
+                            model.layers[il].ffn_up_exps,
+                            model.layers[il].ffn_gate_exps,
+                            model.layers[il].ffn_down_exps,
+                            n_expert, n_expert_used,
+                            LLM_FFN_SILU, false,
+                            true, hparams.expert_weights_scale,
+                            cb, il);
+                cb(moe_out, "ffn_moe_out", il);
+
+                // FFN shared expert
+                {
+                    ggml_tensor * ffn_shexp = llm_build_ffn(ctx0, cur,
+                            model.layers[il].ffn_up_shexp,   NULL,
+                            model.layers[il].ffn_gate_shexp, NULL,
+                            model.layers[il].ffn_down_shexp, NULL,
+                            NULL,
+                            LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
+                    cb(ffn_shexp, "ffn_shexp", il);
+
+                    cur = ggml_add(ctx0, moe_out, ffn_shexp);
+                    cb(cur, "ffn_out", il);
+                }
+            }
+
+            cur = ggml_add(ctx0, cur, ffn_inp);
+            cb(cur, "l_out", il);
+
+            // input for next layer
+            inpL = cur;
+        }
+
+        cur = inpL;
+
+        cur = llm_build_norm(ctx0, cur, hparams,
+                model.output_norm, NULL,
+                LLM_NORM_RMS, cb, -1);
+        cb(cur, "result_norm", -1);
+
+        // lm_head
+        cur = ggml_mul_mat(ctx0, model.output, cur);
+        cb(cur, "result_output", -1);
+
+        ggml_build_forward_expand(gf, cur);
+
+        return gf;
+    }
+
 };
 
 static struct ggml_cgraph * llama_build_graph_defrag(llama_context & lctx, const std::vector<uint32_t> & ids) {
@@ -10882,10 +11577,6 @@ static struct ggml_cgraph * llama_build_graph(
             {
                 result = llm.build_starcoder();
             } break;
-        case LLM_ARCH_PERSIMMON:
-            {
-                result = llm.build_persimmon();
-            } break;
         case LLM_ARCH_REFACT:
             {
                 result = llm.build_refact();
@@ -10980,6 +11671,18 @@ static struct ggml_cgraph * llama_build_graph(
             {
                 result = llm.build_olmo();
             } break;
+        case LLM_ARCH_GPTNEOX:
+            {
+                result = llm.build_gptneox();
+            } break;
+        case LLM_ARCH_ARCTIC:
+            {
+                result = llm.build_arctic();
+            } break;
+        case LLM_ARCH_DEEPSEEK2:
+            {
+                result = llm.build_deepseek2();
+            } break;
         default:
             GGML_ASSERT(false);
     }
@@ -11325,11 +12028,6 @@ static void llama_graph_compute(
         llama_context & lctx,
           ggml_cgraph * gf,
                   int   n_threads) {
-#ifdef GGML_USE_MPI
-    const int64_t n_layer = lctx.model.hparams.n_layer;
-    ggml_mpi_graph_compute_pre(lctx.ctx_mpi, gf, n_layer);
-#endif
-
 #ifdef GGML_USE_METAL
     if (ggml_backend_is_metal(lctx.backend_metal)) {
         ggml_backend_metal_set_n_cb(lctx.backend_metal, n_threads);
@@ -11344,10 +12042,6 @@ static void llama_graph_compute(
     ggml_backend_sched_graph_compute_async(lctx.sched, gf);
 
     // fprintf(stderr, "splits: %d\n", ggml_backend_sched_get_n_splits(lctx.sched));
-
-#ifdef GGML_USE_MPI
-    ggml_mpi_graph_compute_post(lctx.ctx_mpi, gf, n_layer);
-#endif
 }
 
 // decode a batch of tokens by evaluating the transformer
@@ -11385,12 +12079,6 @@ static int llama_decode_internal(
     }
     lctx.n_queued_tokens += n_tokens_all;
 
-#ifdef GGML_USE_MPI
-    // TODO: needs fix after #3228
-    GGML_ASSERT(false && "not implemented");
-    //ggml_mpi_eval_init(lctx.ctx_mpi, &n_tokens, &n_past, &n_threads);
-#endif
-
     auto & kv_self = lctx.kv_self;
 
     const int64_t n_embd  = hparams.n_embd;
@@ -11521,7 +12209,8 @@ static int llama_decode_internal(
                 // a heuristic, to avoid attending the full cache if it is not yet utilized
                 // after enough generations, the benefit from this heuristic disappears
                 // if we start defragmenting the cache, the benefit from this will be more important
-                kv_self.n = std::min(kv_self.size, std::max(256u, GGML_PAD(llama_kv_cache_cell_max(kv_self), 256)));
+                const uint32_t pad = llama_kv_cache_get_padding(cparams);
+                kv_self.n = std::min(kv_self.size, std::max(pad, GGML_PAD(llama_kv_cache_cell_max(kv_self), pad)));
                 //kv_self.n = llama_kv_cache_cell_max(kv_self);
             }
         }
@@ -12010,27 +12699,27 @@ static enum llama_vocab_type llama_vocab_get_type(const llama_vocab & vocab) {
 
 static bool llama_is_normal_token(const llama_vocab & vocab, llama_token id) {
     GGML_ASSERT(vocab.type != LLAMA_VOCAB_TYPE_NONE);
-    return vocab.id_to_token[id].type == LLAMA_TOKEN_TYPE_NORMAL;
+    return vocab.id_to_token[id].attr & LLAMA_TOKEN_ATTR_NORMAL;
 }
 
 static bool llama_is_unknown_token(const llama_vocab & vocab, llama_token id) {
     GGML_ASSERT(vocab.type != LLAMA_VOCAB_TYPE_NONE);
-    return vocab.id_to_token[id].type == LLAMA_TOKEN_TYPE_UNKNOWN;
+    return vocab.id_to_token[id].attr & LLAMA_TOKEN_ATTR_UNKNOWN;
 }
 
 static bool llama_is_control_token(const llama_vocab & vocab, llama_token id) {
     GGML_ASSERT(vocab.type != LLAMA_VOCAB_TYPE_NONE);
-    return vocab.id_to_token[id].type == LLAMA_TOKEN_TYPE_CONTROL;
+    return vocab.id_to_token[id].attr & LLAMA_TOKEN_ATTR_CONTROL;
 }
 
 static bool llama_is_byte_token(const llama_vocab & vocab, llama_token id) {
     GGML_ASSERT(vocab.type != LLAMA_VOCAB_TYPE_NONE);
-    return vocab.id_to_token[id].type == LLAMA_TOKEN_TYPE_BYTE;
+    return vocab.id_to_token[id].attr & LLAMA_TOKEN_ATTR_BYTE;
 }
 
 static bool llama_is_user_defined_token(const llama_vocab& vocab, llama_token id) {
     GGML_ASSERT(vocab.type != LLAMA_VOCAB_TYPE_NONE);
-    return vocab.id_to_token[id].type == LLAMA_TOKEN_TYPE_USER_DEFINED;
+    return vocab.id_to_token[id].attr & LLAMA_TOKEN_ATTR_USER_DEFINED;
 }
 
 static uint8_t llama_token_to_byte(const llama_vocab& vocab, llama_token id) {
@@ -12283,6 +12972,7 @@ struct llm_tokenizer_bpe {
                         });
                         break;
                     case LLAMA_VOCAB_PRE_TYPE_DBRX:
+                    case LLAMA_VOCAB_PRE_TYPE_SMAUG:
                         word_collection = unicode_regex_split(text, {
                             // same as llama3
                             "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
@@ -12339,6 +13029,7 @@ struct llm_tokenizer_bpe {
                             "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
                         });
                         break;
+                    case LLAMA_VOCAB_PRE_TYPE_STABLELM2:
                     case LLAMA_VOCAB_PRE_TYPE_QWEN2:
                         word_collection = unicode_regex_split(text, {
                             // original regex from tokenizer.json
@@ -12514,7 +13205,7 @@ struct llm_tokenizer_wpm {
     llm_tokenizer_wpm(const llama_vocab & vocab): vocab(vocab) {}
 
     void tokenize(const std::string & text, std::vector<llama_vocab::id> & output) {
-        auto * token_map = &vocab.token_to_id;
+        const auto & token_map = vocab.token_to_id;
 
         // normalize and split by whitespace
         std::vector<std::string> words = preprocess(text);
@@ -12529,108 +13220,89 @@ struct llm_tokenizer_wpm {
             }
 
             // prepend phantom space
-            std::string word1 = "\xe2\x96\x81" + word;
-            int n = word1.size();
+            const std::string word1 = "\xe2\x96\x81" + word;
+            const int n = word1.size();
+
+            const size_t current_tokens = output.size();
 
             // we're at the start of a new word
-            int i = 0;
-            bool match_any = false;
-
             // move through character position in word
-            while (i < n) {
+            for (int i = 0; i < n; ++i) {
                 // loop through possible match length
                 bool match = false;
                 for (int j = n; j > i; j--) {
-                    auto it = token_map->find(word1.substr(i, j - i));
-                    if (it != token_map->end()) {
+                    auto it = token_map.find(word1.substr(i, j - i));
+                    if (it != token_map.end()) {
                         output.push_back(it->second);
                         match = true;
-                        match_any = true;
-                        i = j;
+                        i = j - 1;
                         break;
                     }
                 }
 
-                // must be an unknown character
-                if (!match) {
-                    i++;
+                if (!match) { // discard all
+                    output.resize(current_tokens);
+                    break;  // and discard next tokens
                 }
             }
 
             // we didn't find any matches for this word
-            if (!match_any) {
+            if (current_tokens == output.size()) {
                 output.push_back(vocab.special_unk_id);
             }
         }
     }
 
     std::vector<std::string> preprocess(const std::string & text) {
-        std::vector<uint32_t> cpts_nfd = unicode_cpts_normalize_nfd(unicode_cpts_from_utf8(text));
+        const std::vector<uint32_t> cpts_nfd = unicode_cpts_normalize_nfd(unicode_cpts_from_utf8(text));
+        std::vector<std::string> words(1, "");
 
-        // strip accents, strip control, uniformize whitespace,
-        // to lowercase, pad chinese characters, pad punctuation
-        std::string new_str = "";
-        for (uint32_t code : cpts_nfd) {
-            int type = unicode_cpt_type(code);
-            if (type == CODEPOINT_TYPE_ACCENT_MARK || type == CODEPOINT_TYPE_CONTROL) {
+        for (const char32_t cpt : cpts_nfd) {
+            const auto flags = unicode_cpt_flags(cpt);
+
+            if (flags.is_whitespace) {
+                if (words.back().size()) {  // finish previous word if any
+                    words.emplace_back();
+                }
                 continue;
             }
-            code = unicode_tolower(code);
-            if (type == CODEPOINT_TYPE_SEPARATOR) {
-                code = ' ';
+
+            assert (!flags.is_separator);
+            if (cpt == 0 || cpt == 0xFFFD || flags.is_control) {
+                continue;
             }
-            std::string s = unicode_cpt_to_utf8(code);
-            if (type == CODEPOINT_TYPE_PUNCTUATION || is_ascii_punct(code) || is_chinese_char(code)) {
-                new_str += " ";
-                new_str += s;
-                new_str += " ";
+
+            const std::string s = unicode_cpt_to_utf8(unicode_tolower(cpt));
+            if (flags.is_punctuation || ( cpt < 0x7F && flags.is_symbol ) || is_chinese_char(cpt)) {
+                if (words.back().size()) {  // finish previous word if any
+                    words.emplace_back();
+                }
+                words.back() = s;       // single char word
+                words.emplace_back();   // start a new word
             } else {
-                new_str += s;
+                words.back() += s;  // append char to word
             }
         }
 
-        // split by whitespace
-        uint64_t l = 0;
-        uint64_t r = 0;
-        std::vector<std::string> words;
-        while (r < new_str.size()) {
-            // if is whitespace
-            if (isspace(new_str[r], std::locale::classic())) {
-                if (r > l) words.push_back(new_str.substr(l, (r - l)));
-                l = r + 1;
-                r = l;
-            } else {
-                r += 1;
-            }
-        }
-        if (r > l) {
-            words.push_back(new_str.substr(l, (r - l)));
+        if (!words.back().size()) {
+            words.pop_back();
         }
+
         return words;
     }
 
-    bool is_ascii_punct(uint32_t code) {
-        if (code > 0xFF) {
-            return false;
-        }
-        auto c = char(static_cast<unsigned char>(code));
-        return ispunct(c, std::locale::classic());
-    }
-
-    bool is_chinese_char(uint32_t cpt) {
-        if ((cpt >= 0x4E00  && cpt <= 0x9FFF)  ||
-            (cpt >= 0x3400  && cpt <= 0x4DBF)  ||
+    static bool is_chinese_char(uint32_t cpt) {
+        return
+            (cpt >= 0x04E00 && cpt <= 0x09FFF) ||
+            (cpt >= 0x03400 && cpt <= 0x04DBF) ||
             (cpt >= 0x20000 && cpt <= 0x2A6DF) ||
             (cpt >= 0x2A700 && cpt <= 0x2B73F) ||
             (cpt >= 0x2B740 && cpt <= 0x2B81F) ||
             (cpt >= 0x2B920 && cpt <= 0x2CEAF) || // this should be 0x2B820 but in hf rust code it is 0x2B920
-            (cpt >= 0xF900  && cpt <= 0xFAFF)  ||
-            (cpt >= 0x2F800 && cpt <= 0x2FA1F) ||
-            (cpt >= 0x3000  && cpt <= 0x303F)  ||
-            (cpt >= 0xFF00  && cpt <= 0xFFEF)) {
-            return true; // NOLINT
-        }
-        return false;
+            (cpt >= 0x0F900 && cpt <= 0x0FAFF) ||
+            (cpt >= 0x2F800 && cpt <= 0x2FA1F);
+            //(cpt >= 0x3000  && cpt <= 0x303F)  ||
+            //(cpt >= 0xFF00  && cpt <= 0xFFEF);
     }
 
     const llama_vocab & vocab;
@@ -12674,9 +13346,9 @@ struct fragment_buffer_variant {
 
 static void tokenizer_st_partition(const llama_vocab & vocab, std::forward_list<fragment_buffer_variant> & buffer) {
     // for each special token
-    for (const auto & st: vocab.special_tokens_cache) {
-        const auto & special_token = st.first;
-        const auto & special_id    = st.second;
+    for (const llama_vocab::id special_id : vocab.cache_special_tokens) {
+        const auto & data = vocab.id_to_token[special_id];
+        const auto & special_token = data.text;
 
         // for each text fragment
         std::forward_list<fragment_buffer_variant>::iterator it = buffer.begin();
@@ -12685,7 +13357,7 @@ static void tokenizer_st_partition(const llama_vocab & vocab, std::forward_list<
 
             // if a fragment is text ( not yet processed )
             if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_RAW_TEXT) {
-                auto * raw_text = &(fragment.raw_text);
+                auto & raw_text = fragment.raw_text;
 
                 auto raw_text_base_offset = fragment.offset;
                 auto raw_text_base_length = fragment.length;
@@ -12695,7 +13367,7 @@ static void tokenizer_st_partition(const llama_vocab & vocab, std::forward_list<
                     // find the first occurrence of a given special token in this fragment
                     //  passing offset argument only limit the "search area" but match coordinates
                     //  are still relative to the source full raw_text
-                    auto match = raw_text->find(special_token, raw_text_base_offset);
+                    auto match = raw_text.find(special_token, raw_text_base_offset);
 
                     // no occurrences found, stop processing this fragment for a given special token
                     if (match == std::string::npos) break;
@@ -12713,13 +13385,22 @@ static void tokenizer_st_partition(const llama_vocab & vocab, std::forward_list<
                     if (match > raw_text_base_offset) {
                         // left
                         const int64_t left_reminder_offset = raw_text_base_offset + 0;
-                        const int64_t left_reminder_length = match - raw_text_base_offset;
-                        buffer.emplace_after(it, (*raw_text), left_reminder_offset, left_reminder_length);
+                        int64_t left_reminder_length = match - raw_text_base_offset;
+
+                        if (data.attr & LLAMA_TOKEN_ATTR_LSTRIP) {
+                            while (left_reminder_length > 0 && isspace(raw_text[left_reminder_offset + left_reminder_length - 1])) {
+                                left_reminder_length--;
+                            }
+                        }
+
+                        if (left_reminder_length > 0) {
+                            buffer.emplace_after(it, raw_text, left_reminder_offset, left_reminder_length);
+                            it++;
+                        }
 
 #ifdef PRETOKENIZERDEBUG
                         LLAMA_LOG_WARN("FL: (%ld %ld) '%s'\n", left_reminder_offset, left_reminder_length, raw_text->substr(left_reminder_offset, left_reminder_length).c_str());
 #endif
-                        it++;
                     }
 
                     // special token
@@ -12728,16 +13409,25 @@ static void tokenizer_st_partition(const llama_vocab & vocab, std::forward_list<
 
                     // right
                     if (match + special_token.length() < raw_text_base_offset + raw_text_base_length) {
-                        const int64_t right_reminder_offset = match + special_token.length();
-                        const int64_t right_reminder_length = raw_text_base_length - ((match - raw_text_base_offset) + special_token.length());
-                        buffer.emplace_after(it, (*raw_text), right_reminder_offset, right_reminder_length);
+                        int64_t right_reminder_offset = match + special_token.length();
+                        int64_t right_reminder_length = raw_text_base_length - ((match - raw_text_base_offset) + special_token.length());
+
+                        if (data.attr & LLAMA_TOKEN_ATTR_RSTRIP) {
+                            while (right_reminder_length > 0 && isspace(raw_text[right_reminder_offset])) {
+                                right_reminder_offset++;
+                                right_reminder_length--;
+                            }
+                        }
+
+                        if (right_reminder_length > 0) {
+                            buffer.emplace_after(it, raw_text, right_reminder_offset, right_reminder_length);
+                            it++;
+                        }
 
 #ifdef PRETOKENIZERDEBUG
                         LLAMA_LOG_WARN("FR: (%ld %ld) '%s'\n", right_reminder_offset, right_reminder_length, raw_text->substr(right_reminder_offset, right_reminder_length).c_str());
 #endif
 
-                        it++;
-
                         if (source == 0) {
                             buffer.erase_after(buffer.before_begin());
                         } else {
@@ -12783,23 +13473,21 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
                 // tokenizer.encode('', add_special_tokens=True)  returns [1]
                 // tokenizer.encode('', add_special_tokens=False) returns []
 
+                bool is_prev_special = false;
+
                 if (add_special && vocab.special_add_bos != 0) {
                     GGML_ASSERT(vocab.special_bos_id != -1);
                     output.push_back(vocab.special_bos_id);
+                    is_prev_special = true;
                 }
 
                 for (const auto & fragment : fragment_buffer) {
                     if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_RAW_TEXT) {
-                        // without adding this leading whitespace, we do not get the same results as the original tokenizer
-
-                        // TODO: It's likely possible to get rid of this string copy entirely
-                        //  by modifying llm_tokenizer_x to operate with string offsets like pre-tokenizer
-                        //  and passing 'add space prefix' as bool argument
-                        //
                         auto raw_text = fragment.raw_text.substr(fragment.offset, fragment.length);
-                        if (&fragment == &fragment_buffer.front()) {
-                            if (vocab.add_space_prefix) {
-                                raw_text = " " + raw_text; // prefix with space if the first token is not special
+
+                        if (vocab.add_space_prefix) {
+                            if (!output.size() || is_prev_special) {  // prefix with space if first token
+                                raw_text = " " + raw_text;
                             }
                         }
 
@@ -12811,9 +13499,17 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
                         tokenizer.tokenize(raw_text, output);
                     } else { // if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_TOKEN)
                         output.push_back(fragment.token);
+                        is_prev_special = true;
                     }
                 }
 
+                if (add_special && vocab.special_add_bos != 0 && output.size() >= 2 && output[1] == vocab.special_bos_id) {
+                    LLAMA_LOG_WARN(
+                        "%s: Added a BOS token to the prompt as specified by the model but the prompt "
+                        "also starts with a BOS token. So now the final prompt starts with 2 BOS tokens. "
+                        "Are you sure this is what you want?\n", __FUNCTION__);
+                }
+
                 if (add_special && vocab.special_add_eos == 1) {
                     GGML_ASSERT(vocab.special_eos_id != -1);
                     output.push_back(vocab.special_eos_id);
@@ -12840,6 +13536,13 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
                     }
                 }
 
+                if (add_special && vocab.special_add_bos != 0 && output.size() >= 2 && output[1] == vocab.special_bos_id) {
+                    LLAMA_LOG_WARN(
+                        "%s: Added a BOS token to the prompt as specified by the model but the prompt "
+                        "also starts with a BOS token. So now the final prompt starts with 2 BOS tokens. "
+                        "Are you sure this is what you want?\n", __FUNCTION__);
+                }
+
                 if (add_special && vocab.special_add_eos == 1) {
                     GGML_ASSERT(vocab.special_add_eos != -1);
                     output.push_back(vocab.special_eos_id);
@@ -13197,6 +13900,58 @@ static std::vector<llama_grammar_candidate> llama_grammar_reject_candidates(
     return rejects;
 }
 
+static bool llama_grammar_detect_left_recursion(
+        const std::vector<std::vector<llama_grammar_element>> & rules,
+        size_t                                                  rule_index,
+        std::vector<bool>                                     * rules_visited,
+        std::vector<bool>                                     * rules_in_progress,
+        std::vector<bool>                                     * rules_may_be_empty) {
+    if ((*rules_in_progress)[rule_index]) {
+        return true;
+    }
+
+    (*rules_in_progress)[rule_index] = true;
+
+    const std::vector<llama_grammar_element> & rule = rules[rule_index];
+
+    // First check if the rule might produce the empty string. This could be done combined with the second
+    // step but it's more readable as two steps.
+    bool at_rule_start = true;
+    for (size_t i = 0; i < rule.size(); i++) {
+        if (llama_grammar_is_end_of_sequence(&rule[i])) {
+            if (at_rule_start) {
+                (*rules_may_be_empty)[rule_index] = true;
+                break;
+            }
+            at_rule_start = true;
+        } else {
+            at_rule_start = false;
+        }
+    }
+
+    // Second, recurse into leftmost nonterminals (or next-leftmost as long as the previous nonterminal may
+    // be empty)
+    bool recurse_into_nonterminal = true;
+    for (size_t i = 0; i < rule.size(); i++) {
+        if (rule[i].type == LLAMA_GRETYPE_RULE_REF && recurse_into_nonterminal) {
+            if (llama_grammar_detect_left_recursion(rules, (size_t)rule[i].value, rules_visited, rules_in_progress, rules_may_be_empty)) {
+                return true;
+            }
+            if (!((*rules_may_be_empty)[(size_t)rule[i].value])) {
+                recurse_into_nonterminal = false;
+            }
+        } else if (llama_grammar_is_end_of_sequence(&rule[i])) {
+            recurse_into_nonterminal = true;
+        } else {
+            recurse_into_nonterminal = false;
+        }
+    }
+
+    (*rules_in_progress)[rule_index] = false;
+    (*rules_visited)[rule_index] = true;
+    return false;
+}
+
 //
 // grammar - external
 //
@@ -13216,6 +13971,19 @@ struct llama_grammar * llama_grammar_init(
         vec_rules[i].push_back({LLAMA_GRETYPE_END, 0});
     }
 
+    // Check for left recursion
+    std::vector<bool> rules_visited(n_rules);
+    std::vector<bool> rules_in_progress(n_rules);
+    std::vector<bool> rules_may_be_empty(n_rules);
+    for (size_t i = 0; i < n_rules; i++) {
+        if (rules_visited[i]) {
+            continue;
+        }
+        if (llama_grammar_detect_left_recursion(vec_rules, i, &rules_visited, &rules_in_progress, &rules_may_be_empty)) {
+            throw std::runtime_error(format("unsupported grammar, left recursion detected for nonterminal at index %zu", i));
+        }
+    }
+
     // loop over alternates of start rule to build initial stacks
     std::vector<std::vector<const llama_grammar_element *>> stacks;
     pos = vec_rules[start_rule_index].data();
@@ -13238,6 +14006,9 @@ struct llama_grammar * llama_grammar_init(
         }
     } while (true);
 
+    // Important: vec_rules has to be moved here, not copied, because stacks contains
+    // pointers to elements of vec_rules. If vec_rules were copied into llama_grammar
+    // then the pointers would be invalidated when the local vec_rules goes out of scope.
     return new llama_grammar{ std::move(vec_rules), std::move(stacks), {} };
 }
 
@@ -13729,7 +14500,7 @@ void llama_sample_repetition_penalties(
 
 void llama_sample_grammar(struct llama_context * ctx, llama_token_data_array * candidates, const struct llama_grammar * grammar) {
     GGML_ASSERT(ctx);
-    const int64_t t_start_sample_us = ggml_time_us();
+    int64_t t_start_sample_us = ggml_time_us();
 
     bool allow_eog = false;
     for (const auto & stack : grammar->stacks) {
@@ -13741,12 +14512,13 @@ void llama_sample_grammar(struct llama_context * ctx, llama_token_data_array * c
 
     std::vector<std::pair<std::vector<uint32_t>, llama_partial_utf8>> candidates_decoded;
     candidates_decoded.reserve(candidates->size);
-    std::vector<llama_grammar_candidate>                              candidates_grammar;
+
+    std::vector<llama_grammar_candidate> candidates_grammar;
     candidates_grammar.reserve(candidates->size);
 
     for (size_t i = 0; i < candidates->size; ++i) {
-        const llama_token id    = candidates->data[i].id;
-        const std::string piece = llama_token_to_piece(ctx, id, false);
+        const llama_token id      = candidates->data[i].id;
+        const std::string & piece = ctx->model.vocab.cache_token_to_piece.at(id);
 
         if (llama_token_is_eog(&ctx->model, id)) {
             if (!allow_eog) {
@@ -13832,9 +14604,7 @@ llama_token llama_sample_token_mirostat(struct llama_context * ctx, llama_token_
 
     // Sample the next word X using top-k sampling
     llama_sample_top_k(nullptr, candidates, int(k), 1);
-    if (ctx) {
-        ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
-    }
+    ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
     llama_token X = llama_sample_token(ctx, candidates);
     t_start_sample_us = ggml_time_us();
 
@@ -13848,9 +14618,7 @@ llama_token llama_sample_token_mirostat(struct llama_context * ctx, llama_token_
     // Update mu using the learning rate and error
     *mu = *mu - eta * e;
 
-    if (ctx) {
-        ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
-    }
+    ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
     return X;
 }
 
@@ -13950,7 +14718,7 @@ void llama_grammar_accept_token(struct llama_context * ctx, struct llama_grammar
         GGML_ASSERT(false);
     }
 
-    const std::string piece = llama_token_to_piece(ctx, token, false);
+    const std::string & piece = ctx->model.vocab.cache_token_to_piece.at(token);
 
     // Note terminating 0 in decoded string
     const auto   decoded     = decode_utf8(piece, grammar->partial_utf8);
@@ -13966,260 +14734,6 @@ void llama_grammar_accept_token(struct llama_context * ctx, struct llama_grammar
     ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
 }
 
-//
-// Beam search
-//
-
-struct llama_beam {
-    std::vector<llama_token> tokens;
-    float p;  // Cumulative beam probability (renormalized relative to all beams)
-    bool eob; // Initialize end-of-beam to false. Callback sets this to true.
-    // Sort beams by probability. In case of ties, prefer beams at eob.
-    bool operator<(const llama_beam & rhs) const {
-        return std::make_pair(p, eob) < std::make_pair(rhs.p, rhs.eob);
-    }
-    // Shift off first n tokens and discard them.
-    void shift_tokens(const size_t n) {
-        if (n) {
-            std::copy(tokens.begin() + n, tokens.end(), tokens.begin());
-            tokens.resize(tokens.size() - n);
-        }
-    }
-    llama_beam_view view() const { return {tokens.data(), tokens.size(), p, eob}; }
-};
-
-// A struct for calculating logit-related info.
-struct llama_logit_info {
-    const float * const logits;
-    const int n_vocab;
-    const float max_l;
-    const float normalizer;
-    struct sum_exp {
-        float max_l;
-        float operator()(float sum, float l) const { return sum + std::exp(l - max_l); }
-    };
-    llama_logit_info(llama_context * ctx)
-      : logits(llama_get_logits(ctx))
-      , n_vocab(llama_n_vocab(llama_get_model(ctx)))
-      , max_l(*std::max_element(logits, logits + n_vocab))
-      , normalizer(1.0f / std::accumulate(logits, logits + n_vocab, 0.0f, sum_exp{max_l}))
-      { }
-    llama_token_data get_token_data(const llama_token token_id) const {
-        constexpr auto p = std::numeric_limits<float>::quiet_NaN();  // never used
-        return {token_id, logits[token_id], p};
-    }
-    // Return top k token_data by logit.
-    std::vector<llama_token_data> top_k(size_t k) {
-        std::vector<llama_token_data> min_heap;  // min-heap by logit
-        const llama_token k_min = std::min(static_cast<llama_token>(k), n_vocab);
-        min_heap.reserve(k_min);
-        for (llama_token token_id = 0 ; token_id < k_min ; ++token_id) {
-            min_heap.push_back(get_token_data(token_id));
-        }
-        auto comp = [](const llama_token_data & a, const llama_token_data & b) { return a.logit > b.logit; };
-        std::make_heap(min_heap.begin(), min_heap.end(), comp);
-        for (llama_token token_id = k_min ; token_id < n_vocab ; ++token_id) {
-            if (min_heap.front().logit < logits[token_id]) {
-                std::pop_heap(min_heap.begin(), min_heap.end(), comp);
-                min_heap.back().id = token_id;
-                min_heap.back().logit = logits[token_id];
-                std::push_heap(min_heap.begin(), min_heap.end(), comp);
-            }
-        }
-        return min_heap;
-    }
-    float probability_from_logit(float logit) const {
-        return normalizer * std::exp(logit - max_l);
-    }
-};
-
-struct llama_beam_search_data {
-    llama_context * ctx;
-    size_t n_beams;
-    int n_past;
-    int n_predict;
-    std::vector<llama_beam> beams;
-    std::vector<llama_beam> next_beams;
-
-    // Re-calculated on each loop iteration
-    size_t common_prefix_length;
-
-    // Used to communicate to/from callback on beams state.
-    std::vector<llama_beam_view> beam_views;
-
-    llama_beam_search_data(llama_context * ctx, size_t n_beams, int n_past, int n_predict)
-      : ctx(ctx)
-      , n_beams(n_beams)
-      , n_past(n_past)
-      , n_predict(n_predict)
-      , beam_views(n_beams) {
-        beams.reserve(n_beams);
-        next_beams.reserve(n_beams);
-    }
-
-    // Collapse beams to a single beam given by index.
-    void collapse_beams(const size_t beam_idx) {
-        if (0u < beam_idx) {
-            std::swap(beams[0], beams[beam_idx]);
-        }
-        beams.resize(1);
-    }
-
-    // Min-heaps are used to efficiently collect the top-k elements (k=n_beams).
-    // The repetitive patterns below reflect the 2 stages of heaps:
-    //  * Gather elements until the vector is full, then call std::make_heap() on it.
-    //  * If the heap is full and a new element is found that should be included, pop the
-    //    least element to the back(), replace it with the new, then push it into the heap.
-    void fill_next_beams_by_top_probabilities(llama_beam & beam) {
-        // Min-heaps use a greater-than comparator.
-        const auto comp = [](const llama_beam & a, const llama_beam & b) { return a.p > b.p; };
-        if (beam.eob) {
-            // beam is at end-of-sentence, so just copy it to next_beams if its probability is high enough.
-            if (next_beams.size() < n_beams) {
-                next_beams.push_back(std::move(beam));
-                if (next_beams.size() == n_beams) {
-                    std::make_heap(next_beams.begin(), next_beams.end(), comp);
-                }
-            } else if (next_beams.front().p < beam.p) {
-                std::pop_heap(next_beams.begin(), next_beams.end(), comp);
-                next_beams.back() = std::move(beam);
-                std::push_heap(next_beams.begin(), next_beams.end(), comp);
-            }
-        } else {
-            // beam is not at end-of-sentence, so branch with next top_k tokens.
-            if (!beam.tokens.empty()) {
-                llama_decode(ctx, llama_batch_get_one(beam.tokens.data(), beam.tokens.size(), n_past, 0));
-            }
-            llama_logit_info logit_info(ctx);
-            std::vector<llama_token_data> next_tokens = logit_info.top_k(n_beams);
-
-            // Clear the kv slot so that other beams may try different tokens at this position. The llama_decode()
-            // call in loop() will conclusively fill in the kv slot once the beams converge at this position.
-            llama_kv_cache_seq_rm(ctx, 0, n_past, -1);
-
-            size_t i=0;
-            if (next_beams.size() < n_beams) {
-                for (; next_beams.size() < n_beams ; ++i) {
-                    llama_beam next_beam = beam;
-                    next_beam.tokens.push_back(next_tokens[i].id);
-                    next_beam.p *= logit_info.probability_from_logit(next_tokens[i].logit);
-                    next_beams.push_back(std::move(next_beam));
-                }
-                std::make_heap(next_beams.begin(), next_beams.end(), comp);
-            } else {
-                for (; next_beams.front().p == 0.0f ; ++i) {
-                    std::pop_heap(next_beams.begin(), next_beams.end(), comp);
-                    next_beams.back() = beam;
-                    next_beams.back().tokens.push_back(next_tokens[i].id);
-                    next_beams.back().p *= logit_info.probability_from_logit(next_tokens[i].logit);
-                    std::push_heap(next_beams.begin(), next_beams.end(), comp);
-                }
-            }
-            for (; i < n_beams ; ++i) {
-                const float next_p = beam.p * logit_info.probability_from_logit(next_tokens[i].logit);
-                if (next_beams.front().p < next_p) {
-                    std::pop_heap(next_beams.begin(), next_beams.end(), comp);
-                    next_beams.back() = beam;
-                    next_beams.back().tokens.push_back(next_tokens[i].id);
-                    next_beams.back().p = next_p;
-                    std::push_heap(next_beams.begin(), next_beams.end(), comp);
-                }
-            }
-        }
-    }
-
-    // Find common_prefix_length based on beams.
-    // Requires beams is not empty.
-    size_t find_common_prefix_length() {
-        size_t common_prefix_length = beams[0].tokens.size();
-        for (size_t i = 1 ; i < beams.size() ; ++i) {
-            common_prefix_length = std::min(common_prefix_length, beams[i].tokens.size());
-            for (size_t j = 0 ; j < common_prefix_length ; ++j) {
-                if (beams[0].tokens[j] != beams[i].tokens[j]) {
-                    common_prefix_length = j;
-                    break;
-                }
-            }
-        }
-        return common_prefix_length;
-    }
-
-    // Construct beams_state to send back to caller via the callback function.
-    // Side effect: set common_prefix_length = find_common_prefix_length();
-    llama_beams_state get_beams_state(const bool last_call) {
-        for (size_t i = 0 ; i < beams.size() ; ++i) {
-            beam_views[i] = beams[i].view();
-        }
-        common_prefix_length = find_common_prefix_length();
-        return {beam_views.data(), beams.size(), common_prefix_length, last_call};
-    }
-
-    // Loop:
-    //  * while i < n_predict, AND
-    //  * any of the beams have not yet reached end-of-beam (eob), AND
-    //  * the highest probability beam(s) (plural in case of ties) are not at end-of-sentence
-    //    (since all other beam probabilities can only decrease)
-    void loop(const llama_beam_search_callback_fn_t callback, void * const callback_data) {
-        beams.push_back({{}, 1.0f, false});  // Start with one empty beam w/ probability = 1.0 and !eob.
-        const auto not_eob = [](const llama_beam & beam) { return !beam.eob; };
-        for (int i = 0 ; i < n_predict && std::any_of(beams.begin(),beams.end(),not_eob) &&
-                       !beams[top_beam_index()].eob ; ++i) {
-            callback(callback_data, get_beams_state(false));  // Sets common_prefix_length
-            update_beams_from_beam_views();   // Update values (p,eob) that callback may have changed.
-            if (common_prefix_length) {
-                llama_decode(ctx, llama_batch_get_one(beams[0].tokens.data(), common_prefix_length, n_past, 0));
-                n_past += common_prefix_length;
-            }
-            // Zero-out next_beam probabilities to place them last in following min-heap.
-            std::for_each(next_beams.begin(), next_beams.end(), [](llama_beam & beam) { beam.p = 0.0f; });
-            for (llama_beam & beam : beams) {
-                beam.shift_tokens(common_prefix_length);
-                fill_next_beams_by_top_probabilities(beam);
-            }
-            // next_beams become the beams of next/final iteration. Swap them to re-use memory.
-            beams.swap(next_beams);
-            renormalize_beam_probabilities(beams);
-        }
-        collapse_beams(top_beam_index());
-        callback(callback_data, get_beams_state(true));
-    }
-
-    // As beams grow, the cumulative probabilities decrease.
-    // Renormalize them to avoid floating point underflow.
-    static void renormalize_beam_probabilities(std::vector<llama_beam> & beams) {
-        const auto sum_p = [](float sum, llama_beam & beam) { return sum + beam.p; };
-        const float inv_sum = 1.0f / std::accumulate(beams.begin(), beams.end(), 0.0f, sum_p);
-        std::for_each(beams.begin(), beams.end(), [=](llama_beam & beam) { beam.p *= inv_sum; });
-    }
-
-    // Assumes beams is non-empty.  Uses llama_beam::operator<() for ordering.
-    size_t top_beam_index() {
-        return std::max_element(beams.begin(), beams.end()) - beams.begin();
-    }
-
-    // Copy (p,eob) for each beam which may have been changed by the callback.
-    void update_beams_from_beam_views() {
-        for (size_t i = 0 ; i < beams.size() ; ++i) {
-            beams[i].p = beam_views[i].p;
-            beams[i].eob = beam_views[i].eob;
-        }
-    }
-};
-
-void llama_beam_search(llama_context * ctx,
-                       llama_beam_search_callback_fn_t callback, void * callback_data,
-                       size_t n_beams, int n_past, int n_predict) {
-    assert(ctx);
-    const int64_t t_start_sample_us = ggml_time_us();
-
-    llama_beam_search_data beam_search_data(ctx, n_beams, n_past, n_predict);
-
-    beam_search_data.loop(callback, callback_data);
-
-    ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
-    ctx->n_sample++;
-}
-
 //
 // quantization
 //
@@ -14435,8 +14949,6 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n
         else if ((ftype == LLAMA_FTYPE_MOSTLY_Q4_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q5_K_M) &&
                 use_more_bits(qs.i_attention_wv, qs.n_attention_wv)) new_type = GGML_TYPE_Q6_K;
         else if (ftype == LLAMA_FTYPE_MOSTLY_Q4_K_S && qs.i_attention_wv < 4) new_type = GGML_TYPE_Q5_K;
-        else if (QK_K == 64 && (ftype == LLAMA_FTYPE_MOSTLY_Q4_K_S || ftype == LLAMA_FTYPE_MOSTLY_Q3_K_S) &&
-                (qs.i_attention_wv < qs.n_attention_wv/8 || qs.i_attention_wv >= 7*qs.n_attention_wv/8)) new_type = GGML_TYPE_Q6_K;
         if (qs.model.type == MODEL_70B) {
             // In the 70B model we have 8 heads sharing the same attn_v weights. As a result, the attn_v.weight tensor is
             // 8x smaller compared to attn_q.weight. Hence, we can get a nice boost in quantization accuracy with
@@ -15337,6 +15849,7 @@ struct llama_model_params llama_model_default_params() {
         /*.split_mode                  =*/ LLAMA_SPLIT_MODE_LAYER,
         /*.main_gpu                    =*/ 0,
         /*.tensor_split                =*/ nullptr,
+        /*.rpc_servers                 =*/ nullptr,
         /*.progress_callback           =*/ nullptr,
         /*.progress_callback_user_data =*/ nullptr,
         /*.kv_overrides                =*/ nullptr,
@@ -15407,7 +15920,9 @@ struct llama_model_quantize_params llama_model_quantize_default_params() {
 }
 
 size_t llama_max_devices(void) {
-#if defined(GGML_USE_METAL)
+#if defined(GGML_USE_RPC)
+    return GGML_RPC_MAX_SERVERS;
+#elif defined(GGML_USE_METAL)
     return 1;
 #elif defined(GGML_USE_CUDA)
     return GGML_CUDA_MAX_DEVICES;
@@ -15429,8 +15944,8 @@ bool llama_supports_mlock(void) {
 }
 
 bool llama_supports_gpu_offload(void) {
-#if defined(GGML_USE_CUDA) || defined(GGML_USE_CLBLAST) || defined(GGML_USE_METAL) || defined(GGML_USE_VULKAN) || \
-    defined(GGML_USE_SYCL) || defined(GGML_USE_KOMPUTE)
+#if defined(GGML_USE_CUDA) || defined(GGML_USE_METAL)   || defined(GGML_USE_VULKAN) || \
+    defined(GGML_USE_SYCL) || defined(GGML_USE_KOMPUTE) || defined(GGML_USE_RPC)
     // Defined when llama.cpp is compiled with support for offloading model layers to GPU.
     return true;
 #else
@@ -15447,10 +15962,6 @@ void llama_backend_init(void) {
         struct ggml_context * ctx = ggml_init(params);
         ggml_free(ctx);
     }
-
-#ifdef GGML_USE_MPI
-    ggml_mpi_backend_init();
-#endif
 }
 
 void llama_numa_init(enum ggml_numa_strategy numa) {
@@ -15460,9 +15971,6 @@ void llama_numa_init(enum ggml_numa_strategy numa) {
 }
 
 void llama_backend_free(void) {
-#ifdef GGML_USE_MPI
-    ggml_mpi_backend_free();
-#endif
     ggml_quantize_free();
 }
 
@@ -15493,7 +16001,17 @@ struct llama_model * llama_load_model_from_file(
             return true;
         };
     }
-
+    if (params.rpc_servers != nullptr && params.rpc_servers[0] != '\0') {
+        // split the servers set them into model->rpc_servers
+        std::string servers(params.rpc_servers);
+        size_t pos = 0;
+        while ((pos = servers.find(",")) != std::string::npos) {
+            std::string server = servers.substr(0, pos);
+            model->rpc_servers.push_back(server);
+            servers.erase(0, pos + 1);
+        }
+        model->rpc_servers.push_back(servers);
+    }
     int status = llama_model_load(path_model, *model, params);
     GGML_ASSERT(status <= 0);
     if (status < 0) {
@@ -15532,6 +16050,16 @@ struct llama_context * llama_new_context_with_model(
         return nullptr;
     }
 
+    if (params.flash_attn && model->arch == LLM_ARCH_GROK) {
+        LLAMA_LOG_WARN("%s: flash_attn is not compatible with Grok - forcing off\n", __func__);
+        params.flash_attn = false;
+    }
+
+    if (params.type_v != GGML_TYPE_F16 && !params.flash_attn) {
+        LLAMA_LOG_ERROR("%s: V cache quantization requires flash_attn\n", __func__);
+        return nullptr;
+    }
+
     llama_context * ctx = new llama_context(*model);
 
     const auto & hparams = model->hparams;
@@ -15555,7 +16083,7 @@ struct llama_context * llama_new_context_with_model(
     cparams.rope_freq_scale  = params.rope_freq_scale == 0.0f ? hparams.rope_freq_scale_train : params.rope_freq_scale;
 
     // this is necessary due to kv_self.n being padded later during inference
-    cparams.n_ctx            = GGML_PAD(cparams.n_ctx, 256);
+    cparams.n_ctx            = GGML_PAD(cparams.n_ctx, llama_kv_cache_get_padding(cparams));
 
     // with causal attention, the batch size is limited by the context size
     cparams.n_batch          = hparams.causal_attn ? std::min(cparams.n_ctx, params.n_batch) : params.n_batch;
@@ -15570,8 +16098,8 @@ struct llama_context * llama_new_context_with_model(
 
     cparams.n_ubatch         = std::min(cparams.n_batch, params.n_ubatch == 0 ? params.n_batch : params.n_ubatch);
 
-    cparams.n_yarn_orig_ctx  = params.yarn_orig_ctx    != 0 ? params.yarn_orig_ctx    :
-                               hparams.n_yarn_orig_ctx != 0 ? hparams.n_yarn_orig_ctx :
+    cparams.n_ctx_orig_yarn  = params.yarn_orig_ctx    != 0 ? params.yarn_orig_ctx    :
+                               hparams.n_ctx_orig_yarn != 0 ? hparams.n_ctx_orig_yarn :
                                                               hparams.n_ctx_train;
 
     cparams.cb_eval           = params.cb_eval;
@@ -15590,6 +16118,7 @@ struct llama_context * llama_new_context_with_model(
         cparams.yarn_ext_factor = rope_scaling_type == LLAMA_ROPE_SCALING_TYPE_YARN ? 1.0f : 0.0f;
     }
 
+    cparams.yarn_attn_factor *= hparams.rope_attn_factor;
     cparams.causal_attn = hparams.causal_attn;
 
     if (cparams.pooling_type == LLAMA_POOLING_TYPE_UNSPECIFIED) {
@@ -15600,11 +16129,6 @@ struct llama_context * llama_new_context_with_model(
         }
     }
 
-    if (cparams.flash_attn && model->arch == LLM_ARCH_GROK) {
-        LLAMA_LOG_WARN("%s: flash_attn is not compatible with Grok - forcing off\n", __func__);
-        cparams.flash_attn = false;
-    }
-
     if (params.seed == LLAMA_DEFAULT_SEED) {
         params.seed = time(NULL);
     }
@@ -15640,7 +16164,7 @@ struct llama_context * llama_new_context_with_model(
 
     if (!hparams.vocab_only) {
         // initialize backends
-#ifdef GGML_USE_METAL
+#if defined(GGML_USE_METAL)
         if (model->n_gpu_layers > 0) {
             ctx->backend_metal = ggml_backend_metal_init();
             if (ctx->backend_metal == nullptr) {
@@ -15679,7 +16203,7 @@ struct llama_context * llama_new_context_with_model(
             return nullptr;
         }
         if (model->split_mode == LLAMA_SPLIT_MODE_NONE) {
-            ggml_backend_t backend = ggml_backend_vk_init(0);
+            ggml_backend_t backend = ggml_backend_vk_init(model->main_gpu);
             if (backend == nullptr) {
                 LLAMA_LOG_ERROR("%s: failed to initialize Vulkan backend\n", __func__);
                 llama_free(ctx);
@@ -15732,6 +16256,19 @@ struct llama_context * llama_new_context_with_model(
             }
             ctx->backends.push_back(backend);
         }
+#endif
+#if defined(GGML_USE_RPC)
+        if (model->n_gpu_layers > 0) {
+            for (const auto & endpoint : model->rpc_servers) {
+                ggml_backend_t backend = ggml_backend_rpc_init(endpoint.c_str());
+                if (backend == nullptr) {
+                    LLAMA_LOG_ERROR("%s: failed to initialize RPC to '%s'\n", __func__, endpoint.c_str());
+                    llama_free(ctx);
+                    return nullptr;
+                }
+                ctx->backends.push_back(backend);
+            }
+        }
 #endif
         ctx->backend_cpu = ggml_backend_cpu_init();
         if (ctx->backend_cpu == nullptr) {
@@ -15796,7 +16333,11 @@ struct llama_context * llama_new_context_with_model(
             ctx->buf_compute_meta.resize(ggml_tensor_overhead()*LLAMA_MAX_NODES + ggml_graph_overhead_custom(LLAMA_MAX_NODES, false));
 
             // enabling pipeline parallelism in the scheduler increases memory usage, so it is only done when necessary
-            bool pipeline_parallel = llama_get_device_count() > 1 && model->n_gpu_layers > (int)model->hparams.n_layer && model->split_mode == LLAMA_SPLIT_MODE_LAYER;
+            bool pipeline_parallel =
+                llama_get_device_count(*model) > 1 &&
+                model->n_gpu_layers > (int)model->hparams.n_layer &&
+                model->split_mode == LLAMA_SPLIT_MODE_LAYER &&
+                params.offload_kqv;
 #ifndef GGML_USE_CUDA
             // pipeline parallelism requires support for async compute and events
             // currently this is only implemented in the CUDA backend
@@ -15839,20 +16380,6 @@ struct llama_context * llama_new_context_with_model(
         }
     }
 
-#ifdef GGML_USE_MPI
-    ctx->ctx_mpi = ggml_mpi_init();
-
-    if (ggml_mpi_rank(ctx->ctx_mpi) > 0) {
-        // Enter a blocking eval loop with dummy input, letting rank=0 drive the process
-        // TODO: needs fix after #3228
-        GGML_ASSERT(false && "not implemented");
-        //const std::vector<llama_token> tmp(ctx->model.hparams.n_ctx, llama_token_bos(ctx));
-        //while (!llama_eval(ctx, tmp.data(), tmp.size(), 0, 0)) {};
-        llama_backend_free();
-        exit(1);
-    }
-#endif
-
     return ctx;
 }
 
@@ -15889,7 +16416,6 @@ enum llama_rope_type llama_rope_type(const struct llama_model * model) {
         // these models do not use RoPE
         case LLM_ARCH_GPT2:
         case LLM_ARCH_GPTJ:
-        case LLM_ARCH_GPTNEOX:
         case LLM_ARCH_MPT:
         case LLM_ARCH_REFACT:
         case LLM_ARCH_BLOOM:
@@ -15909,13 +16435,14 @@ enum llama_rope_type llama_rope_type(const struct llama_model * model) {
         case LLM_ARCH_XVERSE:
         case LLM_ARCH_COMMAND_R:
         case LLM_ARCH_OLMO:
+        case LLM_ARCH_ARCTIC:
+        case LLM_ARCH_DEEPSEEK2:
             return LLAMA_ROPE_TYPE_NORM;
 
         // the pairs of head values are offset by n_rot/2
         case LLM_ARCH_FALCON:
         case LLM_ARCH_GROK:
         case LLM_ARCH_DBRX:
-        case LLM_ARCH_PERSIMMON:
         case LLM_ARCH_BERT:
         case LLM_ARCH_NOMIC_BERT:
         case LLM_ARCH_STABLELM:
@@ -15926,6 +16453,7 @@ enum llama_rope_type llama_rope_type(const struct llama_model * model) {
         case LLM_ARCH_PHI3:
         case LLM_ARCH_GEMMA:
         case LLM_ARCH_STARCODER2:
+        case LLM_ARCH_GPTNEOX:
             return LLAMA_ROPE_TYPE_NEOX;
 
         // all model arches should be listed explicitly here
@@ -16085,6 +16613,7 @@ static bool llama_control_vector_init(struct llama_control_vector & cvec, const
     }
 
     // make tensors
+    cvec.tensors.reserve(model.hparams.n_layer);
     cvec.tensors.push_back(nullptr); // there's never a tensor for layer 0
     for (size_t il = 1; il < model.hparams.n_layer; il++) {
         struct ggml_context * ctx = ctx_map.at(model.buft_layer[il].buft);
@@ -16093,6 +16622,8 @@ static bool llama_control_vector_init(struct llama_control_vector & cvec, const
     }
 
     // allocate tensors / buffers and zero
+    cvec.ctxs.reserve(ctx_map.size());
+    cvec.bufs.reserve(ctx_map.size());
     for (auto it : ctx_map) {
         ggml_backend_buffer_type_t buft = it.first;
         ggml_context * ctx = it.second;
@@ -16916,13 +17447,13 @@ static size_t llama_state_seq_get_data_internal(struct llama_context * ctx, llam
             }
             else {
                 if (cell_range_begin != kv_self.size) {
-                    cell_ranges.push_back({ cell_range_begin, i });
+                    cell_ranges.emplace_back(cell_range_begin, i);
                     cell_range_begin = kv_self.size;
                 }
             }
         }
         if (cell_range_begin != kv_self.size) {
-            cell_ranges.push_back({ cell_range_begin, kv_self.size });
+            cell_ranges.emplace_back(cell_range_begin, kv_self.size);
         }
 
         // DEBUG CHECK: Sum of cell counts in ranges should equal the total cell count
@@ -17301,6 +17832,14 @@ void llama_set_n_threads(struct llama_context * ctx, uint32_t n_threads, uint32_
     ctx->cparams.n_threads_batch = n_threads_batch;
 }
 
+uint32_t llama_n_threads(struct llama_context * ctx) {
+    return ctx->cparams.n_threads;
+}
+
+uint32_t llama_n_threads_batch(struct llama_context * ctx) {
+    return ctx->cparams.n_threads_batch;
+}
+
 void llama_set_abort_callback(struct llama_context * ctx, bool (*abort_callback)(void * data), void * abort_callback_data) {
     ctx->abort_callback      = abort_callback;
     ctx->abort_callback_data = abort_callback_data;
@@ -17512,9 +18051,9 @@ float llama_token_get_score(const struct llama_model * model, llama_token token)
     return model->vocab.id_to_token[token].score;
 }
 
-llama_token_type llama_token_get_type(const struct llama_model * model, llama_token token) {
+llama_token_attr llama_token_get_attr(const struct llama_model * model, llama_token token) {
     GGML_ASSERT(model->vocab.type != LLAMA_VOCAB_TYPE_NONE);
-    return model->vocab.id_to_token[token].type;
+    return model->vocab.id_to_token[token].attr;
 }
 
 bool llama_token_is_eog(const struct llama_model * model, llama_token token) {
@@ -17524,6 +18063,10 @@ bool llama_token_is_eog(const struct llama_model * model, llama_token token) {
     );
 }
 
+bool llama_token_is_control(const struct llama_model * model, llama_token token) {
+    return llama_is_control_token(model->vocab, token);
+}
+
 llama_token llama_token_bos(const struct llama_model * model) {
     return model->vocab.special_bos_id;
 }
@@ -17595,7 +18138,16 @@ static std::string llama_decode_text(const std::string & text) {
 
     const auto cpts = unicode_cpts_from_utf8(text);
     for (const auto cpt : cpts) {
-        decoded_text += unicode_utf8_to_byte(unicode_cpt_to_utf8(cpt));
+        const auto utf8 = unicode_cpt_to_utf8(cpt);
+        try {
+            decoded_text += unicode_utf8_to_byte(utf8);
+        } catch (const std::out_of_range & e) {
+            decoded_text += "[UNK_BYTE_0x";
+            for (const auto c : utf8) {
+                decoded_text += format("%02x", (uint8_t) c);
+            }
+            decoded_text += text + "]";
+        }
     }
 
     return decoded_text;
@@ -17603,69 +18155,88 @@ static std::string llama_decode_text(const std::string & text) {
 
 // does not write null-terminator to buf
 int32_t llama_token_to_piece(const struct llama_model * model, llama_token token, char * buf, int32_t length, bool special) {
+    // ref: https://github.com/ggerganov/llama.cpp/pull/7587#discussion_r1620983843
+    if (!special && llama_is_control_token(model->vocab, token)) {
+        return 0;
+    }
+
+    // if we have a cache - use it
+    {
+        const auto & cache = model->vocab.cache_token_to_piece;
+
+        if (!cache.empty()) {
+            const auto & res = cache.at(token);
+            if (length < (int) res.size()) {
+                return -(int) res.size();
+            }
+            memcpy(buf, res.c_str(), res.size());
+            return res.size();
+        }
+    }
+
     if (0 <= token && token < llama_n_vocab(model)) {
         switch (llama_vocab_get_type(model->vocab)) {
-        case LLAMA_VOCAB_TYPE_WPM:
-        case LLAMA_VOCAB_TYPE_SPM: {
-            // NOTE: we accept all unsupported token types,
-            // suppressing them like CONTROL tokens.
-            if (llama_is_normal_token(model->vocab, token)) {
-                std::string result = model->vocab.id_to_token[token].text;
-                llama_unescape_whitespace(result);
-                if (length < (int) result.length()) {
-                    return -(int) result.length();
+            case LLAMA_VOCAB_TYPE_WPM:
+            case LLAMA_VOCAB_TYPE_SPM: {
+                // NOTE: we accept all unsupported token types,
+                // suppressing them like CONTROL tokens.
+                if (llama_is_normal_token(model->vocab, token)) {
+                    std::string result = model->vocab.id_to_token[token].text;
+                    llama_unescape_whitespace(result);
+                    if (length < (int) result.length()) {
+                        return -(int) result.length();
+                    }
+                    memcpy(buf, result.c_str(), result.length());
+                    return result.length();
+                } else if (
+                        (llama_is_user_defined_token(model->vocab, token)) ||
+                        (llama_is_control_token     (model->vocab, token) && special)) {
+                    std::string result = model->vocab.id_to_token[token].text;
+                    if (length < (int) result.length()) {
+                        return -(int) result.length();
+                    }
+                    memcpy(buf, result.c_str(), result.length());
+                    return result.length();
+                } else if (llama_is_unknown_token(model->vocab, token)) { // NOLINT
+                    if (length < 3) {
+                        return -3;
+                    }
+                    memcpy(buf, "\xe2\x96\x85", 3);
+                    return 3;
+                } else if (llama_is_byte_token(model->vocab, token)) {
+                    if (length < 1) {
+                        return -1;
+                    }
+                    buf[0] = llama_token_to_byte(model->vocab, token);
+                    return 1;
                 }
-                memcpy(buf, result.c_str(), result.length());
-                return result.length();
-            } else if (
-                    (llama_is_user_defined_token(model->vocab, token)) ||
-                    (llama_is_control_token     (model->vocab, token) && special)) {
-                std::string result = model->vocab.id_to_token[token].text;
-                if (length < (int) result.length()) {
-                    return -(int) result.length();
-                }
-                memcpy(buf, result.c_str(), result.length());
-                return result.length();
-            } else if (llama_is_unknown_token(model->vocab, token)) { // NOLINT
-                if (length < 3) {
-                    return -3;
-                }
-                memcpy(buf, "\xe2\x96\x85", 3);
-                return 3;
-            } else if (llama_is_byte_token(model->vocab, token)) {
-                if (length < 1) {
-                    return -1;
-                }
-                buf[0] = llama_token_to_byte(model->vocab, token);
-                return 1;
+                break;
             }
-            break;
-        }
-        case LLAMA_VOCAB_TYPE_BPE: {
-            // NOTE: we accept all unsupported token types,
-            // suppressing them like CONTROL tokens.
-            if (llama_is_normal_token(model->vocab, token)) {
-                std::string result = model->vocab.id_to_token[token].text;
-                result = llama_decode_text(result);
-                if (length < (int) result.length()) {
-                    return -(int) result.length();
+            case LLAMA_VOCAB_TYPE_BPE: {
+                // NOTE: we accept all unsupported token types,
+                // suppressing them like CONTROL tokens.
+                if (llama_is_normal_token(model->vocab, token)) {
+                    std::string result = model->vocab.id_to_token[token].text;
+                    result = llama_decode_text(result);
+                    if (length < (int) result.length()) {
+                        return -(int) result.length();
+                    }
+                    memcpy(buf, result.c_str(), result.length());
+                    return result.length();
+                } else if (
+                        (llama_is_user_defined_token(model->vocab, token)) ||
+                        (llama_is_control_token     (model->vocab, token) && special)) {
+                    std::string result = model->vocab.id_to_token[token].text;
+                    if (length < (int) result.length()) {
+                        return -(int) result.length();
+                    }
+                    memcpy(buf, result.c_str(), result.length());
+                    return result.length();
                 }
-                memcpy(buf, result.c_str(), result.length());
-                return result.length();
-            } else if (
-                    (llama_is_user_defined_token(model->vocab, token)) ||
-                    (llama_is_control_token     (model->vocab, token) && special)) {
-                std::string result = model->vocab.id_to_token[token].text;
-                if (length < (int) result.length()) {
-                    return -(int) result.length();
-                }
-                memcpy(buf, result.c_str(), result.length());
-                return result.length();
+                break;
             }
-            break;
-        }
-        default:
-            GGML_ASSERT(false);
+            default:
+                GGML_ASSERT(false);
         }
     }
     return 0;
@@ -17735,6 +18306,15 @@ static int32_t llama_chat_apply_template_internal(
             }
         }
         // llama2 templates seem to not care about "add_generation_prompt"
+    } else if (tmpl == "phi3" || (tmpl.find("<|assistant|>") != std::string::npos && tmpl.find("<|end|>") != std::string::npos)) {
+        // Phi 3
+        for (auto message : chat) {
+            std::string role(message->role);
+            ss << "<|" << role << "|>\n" << message->content << "<|end|>\n";
+        }
+        if (add_ass) {
+            ss << "<|assistant|>\n";
+        }
     } else if (tmpl == "zephyr" || tmpl.find("<|user|>") != std::string::npos) {
         // zephyr template
         for (auto message : chat) {
@@ -17867,15 +18447,6 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "<|start_header_id|>assistant<|end_header_id|>\n\n";
         }
-    } else if (tmpl == "phi3" || (tmpl.find("<|assistant|>") != std::string::npos && tmpl.find("<|end|>") != std::string::npos )) {
-        // Phi 3
-        for (auto message : chat) {
-            std::string role(message->role);
-            ss << "<|" << role << "|>\n" << trim(message->content) << "<|end|>\n";
-        }
-        if (add_ass) {
-            ss << "<|assistant|>\n";
-        }
     } else {
         // template not supported
         return -1;
@@ -17997,8 +18568,10 @@ const char * llama_print_system_info(void) {
     s += "AVX512 = "      + std::to_string(ggml_cpu_has_avx512())      + " | ";
     s += "AVX512_VBMI = " + std::to_string(ggml_cpu_has_avx512_vbmi()) + " | ";
     s += "AVX512_VNNI = " + std::to_string(ggml_cpu_has_avx512_vnni()) + " | ";
+    s += "AVX512_BF16 = " + std::to_string(ggml_cpu_has_avx512_bf16()) + " | ";
     s += "FMA = "         + std::to_string(ggml_cpu_has_fma())         + " | ";
     s += "NEON = "        + std::to_string(ggml_cpu_has_neon())        + " | ";
+    s += "SVE = "         + std::to_string(ggml_cpu_has_sve())         + " | ";
     s += "ARM_FMA = "     + std::to_string(ggml_cpu_has_arm_fma())     + " | ";
     s += "F16C = "        + std::to_string(ggml_cpu_has_f16c())        + " | ";
     s += "FP16_VA = "     + std::to_string(ggml_cpu_has_fp16_va())     + " | ";
@@ -18057,6 +18630,8 @@ void llama_log_set(ggml_log_callback log_callback, void * user_data) {
     g_state.log_callback_user_data = user_data;
 #ifdef GGML_USE_METAL
     ggml_backend_metal_log_set_callback(g_state.log_callback, g_state.log_callback_user_data);
+#elif defined(GGML_USE_CUDA)
+    ggml_backend_cuda_log_set_callback(g_state.log_callback, g_state.log_callback_user_data);
 #endif
 }
 
diff --git a/llama.h b/llama.h
index 5c9fc9a2f..93ec94a67 100644
--- a/llama.h
+++ b/llama.h
@@ -81,10 +81,12 @@ extern "C" {
         LLAMA_VOCAB_PRE_TYPE_GPT2           = 7,
         LLAMA_VOCAB_PRE_TYPE_REFACT         = 8,
         LLAMA_VOCAB_PRE_TYPE_COMMAND_R      = 9,
-        LLAMA_VOCAB_PRE_TYPE_QWEN2          = 10,
-        LLAMA_VOCAB_PRE_TYPE_OLMO           = 11,
-        LLAMA_VOCAB_PRE_TYPE_DBRX           = 12,
-        LLAMA_VOCAB_PRE_TYPE_JINA_V2_ZH     = 13,
+        LLAMA_VOCAB_PRE_TYPE_STABLELM2      = 10,
+        LLAMA_VOCAB_PRE_TYPE_QWEN2          = 11,
+        LLAMA_VOCAB_PRE_TYPE_OLMO           = 12,
+        LLAMA_VOCAB_PRE_TYPE_DBRX           = 13,
+        LLAMA_VOCAB_PRE_TYPE_SMAUG          = 14,
+        LLAMA_VOCAB_PRE_TYPE_JINA_V2_ZH     = 15,
     };
 
     // note: these values should be synchronized with ggml_rope
@@ -96,7 +98,7 @@ extern "C" {
         LLAMA_ROPE_TYPE_GLM  =  4,
     };
 
-    enum llama_token_type {
+    enum llama_token_type { //TODO: remove, required until per token attributes are available from GGUF file
         LLAMA_TOKEN_TYPE_UNDEFINED    = 0,
         LLAMA_TOKEN_TYPE_NORMAL       = 1,
         LLAMA_TOKEN_TYPE_UNKNOWN      = 2,
@@ -106,6 +108,20 @@ extern "C" {
         LLAMA_TOKEN_TYPE_BYTE         = 6,
     };
 
+    enum llama_token_attr {
+        LLAMA_TOKEN_ATTR_UNDEFINED    = 0,
+        LLAMA_TOKEN_ATTR_UNKNOWN      = 1 << 0,
+        LLAMA_TOKEN_ATTR_UNUSED       = 1 << 1,
+        LLAMA_TOKEN_ATTR_NORMAL       = 1 << 2,
+        LLAMA_TOKEN_ATTR_CONTROL      = 1 << 3,  // SPECIAL?
+        LLAMA_TOKEN_ATTR_USER_DEFINED = 1 << 4,
+        LLAMA_TOKEN_ATTR_BYTE         = 1 << 5,
+        LLAMA_TOKEN_ATTR_NORMALIZED   = 1 << 6,
+        LLAMA_TOKEN_ATTR_LSTRIP       = 1 << 7,
+        LLAMA_TOKEN_ATTR_RSTRIP       = 1 << 8,
+        LLAMA_TOKEN_ATTR_SINGLE_WORD  = 1 << 9,
+    };
+
     // model file types
     enum llama_ftype {
         LLAMA_FTYPE_ALL_F32              = 0,
@@ -243,6 +259,9 @@ extern "C" {
         // proportion of the model (layers or rows) to offload to each GPU, size: llama_max_devices()
         const float * tensor_split;
 
+        // comma separated list of RPC servers to use for offloading
+        const char * rpc_servers;
+
         // Called with a progress value between 0.0 and 1.0. Pass NULL to disable.
         // If the provided progress_callback returns true, model loading continues.
         // If it returns false, model loading is immediately aborted.
@@ -261,6 +280,8 @@ extern "C" {
         bool check_tensors; // validate model tensor data
     };
 
+    // NOTE: changing the default values of parameters marked as [EXPERIMENTAL] may cause crashes or incorrect results in certain configurations
+    //       https://github.com/ggerganov/llama.cpp/pull/7544
     struct llama_context_params {
         uint32_t seed;              // RNG seed, -1 for random
         uint32_t n_ctx;             // text context, 0 = from model
@@ -287,14 +308,14 @@ extern "C" {
         ggml_backend_sched_eval_callback cb_eval;
         void * cb_eval_user_data;
 
-        enum ggml_type type_k; // data type for K cache
-        enum ggml_type type_v; // data type for V cache
+        enum ggml_type type_k; // data type for K cache [EXPERIMENTAL]
+        enum ggml_type type_v; // data type for V cache [EXPERIMENTAL]
 
         // Keep the booleans together to avoid misalignment during copy-by-value.
         bool logits_all;  // the llama_decode() call computes all logits, not just the last one (DEPRECATED - set llama_batch.logits instead)
         bool embeddings;  // if true, extract embeddings (together with logits)
         bool offload_kqv; // whether to offload the KQV ops (including the KV cache) to GPU
-        bool flash_attn;  // whether to use flash attention
+        bool flash_attn;  // whether to use flash attention [EXPERIMENTAL]
 
         // Abort callback
         // if it returns true, execution of llama_decode() will be aborted
@@ -418,8 +439,8 @@ extern "C" {
 
     LLAMA_API enum llama_pooling_type llama_pooling_type(const struct llama_context * ctx);
 
-    LLAMA_API enum llama_vocab_type   llama_vocab_type  (const struct llama_model   * model);
-    LLAMA_API enum llama_rope_type    llama_rope_type   (const struct llama_model   * model);
+    LLAMA_API enum llama_vocab_type   llama_vocab_type  (const struct llama_model * model);
+    LLAMA_API enum llama_rope_type    llama_rope_type   (const struct llama_model * model);
 
     LLAMA_API int32_t llama_n_vocab    (const struct llama_model * model);
     LLAMA_API int32_t llama_n_ctx_train(const struct llama_model * model);
@@ -756,6 +777,12 @@ extern "C" {
     // n_threads_batch is the number of threads used for prompt and batch processing (multiple tokens)
     LLAMA_API void llama_set_n_threads(struct llama_context * ctx, uint32_t n_threads, uint32_t n_threads_batch);
 
+    // Get the number of threads used for generation of a single token.
+    LLAMA_API uint32_t llama_n_threads(struct llama_context * ctx);
+
+    // Get the number of threads used for prompt and batch processing (multiple token).
+    LLAMA_API uint32_t llama_n_threads_batch(struct llama_context * ctx);
+
     // Set whether to use causal attention or not
     // If set to true, the model will only attend to the past tokens
     LLAMA_API void llama_set_causal_attn(struct llama_context * ctx, bool causal_attn);
@@ -809,11 +836,14 @@ extern "C" {
 
     LLAMA_API float llama_token_get_score(const struct llama_model * model, llama_token token);
 
-    LLAMA_API enum llama_token_type llama_token_get_type(const struct llama_model * model, llama_token token);
+    LLAMA_API enum llama_token_attr llama_token_get_attr(const struct llama_model * model, llama_token token);
 
     // Check if the token is supposed to end generation (end-of-generation, eg. EOS, EOT, etc.)
     LLAMA_API bool llama_token_is_eog(const struct llama_model * model, llama_token token);
 
+    // Identify if Token Id is a control token or a render-able token
+    LLAMA_API bool llama_token_is_control(const struct llama_model * model, llama_token token);
+
     // Special tokens
     LLAMA_API llama_token llama_token_bos(const struct llama_model * model); // beginning-of-sentence
     LLAMA_API llama_token llama_token_eos(const struct llama_model * model); // end-of-sentence
@@ -1027,49 +1057,9 @@ extern "C" {
                      llama_token   token);
 
     //
-    // Beam search
+    // Model split
     //
 
-    struct llama_beam_view {
-        const llama_token * tokens;
-
-        size_t n_tokens;
-        float  p;        // Cumulative beam probability (renormalized relative to all beams)
-        bool   eob;      // Callback should set this to true when a beam is at end-of-beam.
-    };
-
-    // Passed to beam_search_callback function.
-    // Whenever 0 < common_prefix_length, this number of tokens should be copied from any of the beams
-    // (e.g. beams[0]) as they will be removed (shifted) from all beams in all subsequent callbacks.
-    // These pointers are valid only during the synchronous callback, so should not be saved.
-    struct llama_beams_state {
-        struct llama_beam_view * beam_views;
-
-        size_t n_beams;               // Number of elements in beam_views[].
-        size_t common_prefix_length;  // Current max length of prefix tokens shared by all beams.
-        bool   last_call;             // True iff this is the last callback invocation.
-    };
-
-    // Type of pointer to the beam_search_callback function.
-    // void* callback_data is any custom data passed to llama_beam_search, that is subsequently
-    // passed back to beam_search_callback. This avoids having to use global variables in the callback.
-    typedef void (*llama_beam_search_callback_fn_t)(void * callback_data, struct llama_beams_state);
-
-    /// @details Deterministically returns entire sentence constructed by a beam search.
-    /// @param ctx Pointer to the llama_context.
-    /// @param callback Invoked for each iteration of the beam_search loop, passing in beams_state.
-    /// @param callback_data A pointer that is simply passed back to callback.
-    /// @param n_beams Number of beams to use.
-    /// @param n_past Number of tokens already evaluated.
-    /// @param n_predict Maximum number of tokens to predict. EOS may occur earlier.
-    LLAMA_API void llama_beam_search(
-                   struct llama_context * ctx,
-        llama_beam_search_callback_fn_t   callback,
-                                   void * callback_data,
-                                 size_t   n_beams,
-                                int32_t   n_past,
-                                int32_t   n_predict);
-
     /// @details Build a split GGUF final path for this chunk.
     ///          llama_split_path(split_path, sizeof(split_path), "/models/ggml-model-q4_0", 2, 4) => split_path = "/models/ggml-model-q4_0-00002-of-00004.gguf"
     //  Returns the split_path length.
diff --git a/models/ggml-vocab-phi-3.gguf b/models/ggml-vocab-phi-3.gguf
index f8022a385..745be416a 100644
Binary files a/models/ggml-vocab-phi-3.gguf and b/models/ggml-vocab-phi-3.gguf differ
diff --git a/requirements.txt b/requirements.txt
index e7d14e16a..e5cfbf10b 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,9 +4,8 @@
 # Package versions must stay compatible across all top-level python scripts.
 #
 
--r ./requirements/requirements-convert.txt
+-r ./requirements/requirements-convert-legacy-llama.txt
 
 -r ./requirements/requirements-convert-hf-to-gguf.txt
 -r ./requirements/requirements-convert-hf-to-gguf-update.txt
 -r ./requirements/requirements-convert-llama-ggml-to-gguf.txt
--r ./requirements/requirements-convert-persimmon-to-gguf.txt
diff --git a/requirements/requirements-convert-hf-to-gguf-update.txt b/requirements/requirements-convert-hf-to-gguf-update.txt
index 6ac402610..6eacaf429 100644
--- a/requirements/requirements-convert-hf-to-gguf-update.txt
+++ b/requirements/requirements-convert-hf-to-gguf-update.txt
@@ -1,2 +1,2 @@
--r ./requirements-convert.txt
+-r ./requirements-convert-legacy-llama.txt
 torch~=2.1.1
diff --git a/requirements/requirements-convert-hf-to-gguf.txt b/requirements/requirements-convert-hf-to-gguf.txt
index 6ac402610..6eacaf429 100644
--- a/requirements/requirements-convert-hf-to-gguf.txt
+++ b/requirements/requirements-convert-hf-to-gguf.txt
@@ -1,2 +1,2 @@
--r ./requirements-convert.txt
+-r ./requirements-convert-legacy-llama.txt
 torch~=2.1.1
diff --git a/requirements/requirements-convert.txt b/requirements/requirements-convert-legacy-llama.txt
similarity index 100%
rename from requirements/requirements-convert.txt
rename to requirements/requirements-convert-legacy-llama.txt
diff --git a/requirements/requirements-convert-llama-ggml-to-gguf.txt b/requirements/requirements-convert-llama-ggml-to-gguf.txt
index a0f37cd1c..e80c29012 100644
--- a/requirements/requirements-convert-llama-ggml-to-gguf.txt
+++ b/requirements/requirements-convert-llama-ggml-to-gguf.txt
@@ -1 +1 @@
--r ./requirements-convert.txt
+-r ./requirements-convert-legacy-llama.txt
diff --git a/requirements/requirements-convert-persimmon-to-gguf.txt b/requirements/requirements-convert-persimmon-to-gguf.txt
deleted file mode 100644
index 6ac402610..000000000
--- a/requirements/requirements-convert-persimmon-to-gguf.txt
+++ /dev/null
@@ -1,2 +0,0 @@
--r ./requirements-convert.txt
-torch~=2.1.1
diff --git a/scripts/LlamaConfig.cmake.in b/scripts/LlamaConfig.cmake.in
index f842c7137..9311055d9 100644
--- a/scripts/LlamaConfig.cmake.in
+++ b/scripts/LlamaConfig.cmake.in
@@ -5,8 +5,6 @@ set(LLAMA_SHARED_LIB @BUILD_SHARED_LIBS@)
 set(LLAMA_BLAS @LLAMA_BLAS@)
 set(LLAMA_CUDA @LLAMA_CUDA@)
 set(LLAMA_METAL @LLAMA_METAL@)
-set(LLAMA_MPI @LLAMA_MPI@)
-set(LLAMA_CLBLAST @LLAMA_CLBLAST@)
 set(LLAMA_HIPBLAS @LLAMA_HIPBLAS@)
 set(LLAMA_ACCELERATE @LLAMA_ACCELERATE@)
 
@@ -37,14 +35,6 @@ if (LLAMA_METAL)
     find_library(METALKIT_FRAMEWORK MetalKit REQUIRED)
 endif()
 
-if (LLAMA_MPI)
-    find_package(MPI REQUIRED)
-endif()
-
-if (LLAMA_CLBLAST)
-    find_package(CLBlast REQUIRED)
-endif()
-
 if (LLAMA_HIPBLAS)
     find_package(hip REQUIRED)
     find_package(hipblas REQUIRED)
diff --git a/scripts/check-requirements.sh b/scripts/check-requirements.sh
index 6a7400d3c..0c6afdd59 100755
--- a/scripts/check-requirements.sh
+++ b/scripts/check-requirements.sh
@@ -166,7 +166,7 @@ if (( do_cleanup )); then
     rm -rf -- "$all_venv"
 fi
 
-check_convert_script convert.py
+check_convert_script examples/convert-legacy-llama.py
 for py in convert-*.py; do
     # skip convert-hf-to-gguf-update.py
     # TODO: the check is failing for some reason:
diff --git a/scripts/compare-commits.sh b/scripts/compare-commits.sh
index fd0ee88b2..a45cd3962 100755
--- a/scripts/compare-commits.sh
+++ b/scripts/compare-commits.sh
@@ -10,16 +10,18 @@ set -x
 
 bench_args="${@:3}"
 
-rm -f llama-bench.sqlite
+rm -f llama-bench.sqlite > /dev/null
 
 # to test a backend, call the script with the corresponding environment variable (e.g. LLAMA_CUDA=1 ./scripts/compare-commits.sh ...)
 
-git checkout $1
-make clean && make -j32 $make_opts llama-bench
-./llama-bench -o sql $bench_args | tee /dev/tty | sqlite3 llama-bench.sqlite
+git checkout $1 > /dev/null
+make clean > /dev/null
+make -j$(nproc) $make_opts llama-bench > /dev/null
+./llama-bench -o sql -oe md $bench_args | sqlite3 llama-bench.sqlite
 
-git checkout $2
-make clean && make -j32 $make_opts llama-bench
-./llama-bench -o sql $bench_args | tee /dev/tty | sqlite3 llama-bench.sqlite
+git checkout $2 > /dev/null
+make clean > /dev/null
+make -j$(nproc) $make_opts llama-bench > /dev/null
+./llama-bench -o sql -oe md $bench_args | sqlite3 llama-bench.sqlite
 
 ./scripts/compare-llama-bench.py -b $1 -c $2
diff --git a/scripts/compare-llama-bench.py b/scripts/compare-llama-bench.py
index 0ede9e67c..513dde5e1 100755
--- a/scripts/compare-llama-bench.py
+++ b/scripts/compare-llama-bench.py
@@ -19,22 +19,22 @@ logger = logging.getLogger("compare-llama-bench")
 
 # Properties by which to differentiate results per commit:
 KEY_PROPERTIES = [
-    "cpu_info", "gpu_info", "n_gpu_layers", "main_gpu", "cuda", "opencl", "metal", "gpu_blas",
-    "blas", "model_filename", "model_type", "model_size", "model_n_params", "n_batch", "n_threads",
-    "type_k", "type_v", "no_kv_offload", "tensor_split", "n_prompt", "n_gen"
+    "cpu_info", "gpu_info", "n_gpu_layers", "cuda", "vulkan", "kompute", "metal", "sycl", "rpc", "gpu_blas",
+    "blas", "model_filename", "model_type", "model_size", "model_n_params", "n_batch", "n_ubatch", "embeddings", "n_threads",
+    "type_k", "type_v", "use_mmap", "no_kv_offload", "split_mode", "main_gpu", "tensor_split", "flash_attn", "n_prompt", "n_gen"
 ]
 
 # Properties that are boolean and are converted to Yes/No for the table:
-BOOL_PROPERTIES = ["cuda", "opencl", "metal", "gpu_blas", "blas"]
+BOOL_PROPERTIES = ["cuda", "vulkan", "kompute", "metal", "sycl", "gpu_blas", "blas", "embeddings", "use_mmap", "no_kv_offload", "flash_attn"]
 
 # Header names for the table:
 PRETTY_NAMES = {
-    "cuda": "CUDA", "opencl": "OpenCL", "metal": "Metal", "gpu_blas": "GPU BLAS", "blas": "BLAS",
-    "cpu_info": "CPU", "gpu_info": "GPU", "model_filename": "File", "model_type": "Model",
-    "model_size": "Model Size [GiB]", "model_n_params": "Num. of Parameters",
-    "n_batch": "Batch size", "n_threads": "Threads", "type_k": "K type", "type_v": "V type",
-    "n_gpu_layers": "GPU layers", "main_gpu": "Main GPU", "no_kv_offload": "NKVO",
-    "tensor_split": "Tensor split"
+    "cuda": "CUDA", "vulkan": "Vulkan", "kompute": "Kompute", "metal": "Metal", "sycl": "SYCL", "rpc": "RPC",
+    "gpu_blas": "GPU BLAS", "blas": "BLAS", "cpu_info": "CPU", "gpu_info": "GPU", "model_filename": "File", "model_type": "Model",
+    "model_size": "Model Size [GiB]", "model_n_params": "Num. of Par.", "n_batch": "Batch size", "n_ubatch": "Microbatch size",
+    "n_threads": "Threads", "type_k": "K type", "type_v": "V type", "n_gpu_layers": "GPU layers", "split_mode": "Split mode",
+    "main_gpu": "Main GPU", "no_kv_offload": "NKVO", "flash_attn": "FlashAttention", "tensor_split": "Tensor split",
+    "use_mmap": "Use mmap", "embeddings": "Embeddings",
 }
 
 DEFAULT_SHOW = ["model_type"]  # Always show these properties by default.
diff --git a/scripts/convert-gg.sh b/scripts/convert-gg.sh
index 01fda16fd..8a0168432 100755
--- a/scripts/convert-gg.sh
+++ b/scripts/convert-gg.sh
@@ -3,20 +3,20 @@
 set -e
 
 # LLaMA v1
-python3 convert.py ../llama1/7B  --outfile models/llama-7b/ggml-model-f16.gguf  --outtype f16
-python3 convert.py ../llama1/13B --outfile models/llama-13b/ggml-model-f16.gguf --outtype f16
-python3 convert.py ../llama1/30B --outfile models/llama-30b/ggml-model-f16.gguf --outtype f16
-python3 convert.py ../llama1/65B --outfile models/llama-65b/ggml-model-f16.gguf --outtype f16
+python3 examples/convert-legacy-llama.py ../llama1/7B  --outfile models/llama-7b/ggml-model-f16.gguf  --outtype f16
+python3 examples/convert-legacy-llama.py ../llama1/13B --outfile models/llama-13b/ggml-model-f16.gguf --outtype f16
+python3 examples/convert-legacy-llama.py ../llama1/30B --outfile models/llama-30b/ggml-model-f16.gguf --outtype f16
+python3 examples/convert-legacy-llama.py ../llama1/65B --outfile models/llama-65b/ggml-model-f16.gguf --outtype f16
 
 # LLaMA v2
-python3 convert.py ../llama2/llama-2-7b  --outfile models/llama-7b-v2/ggml-model-f16.gguf  --outtype f16
-python3 convert.py ../llama2/llama-2-13b --outfile models/llama-13b-v2/ggml-model-f16.gguf --outtype f16
-python3 convert.py ../llama2/llama-2-70b --outfile models/llama-70b-v2/ggml-model-f16.gguf --outtype f16
+python3 examples/convert-legacy-llama.py ../llama2/llama-2-7b  --outfile models/llama-7b-v2/ggml-model-f16.gguf  --outtype f16
+python3 examples/convert-legacy-llama.py ../llama2/llama-2-13b --outfile models/llama-13b-v2/ggml-model-f16.gguf --outtype f16
+python3 examples/convert-legacy-llama.py ../llama2/llama-2-70b --outfile models/llama-70b-v2/ggml-model-f16.gguf --outtype f16
 
 # Code Llama
-python3 convert.py ../codellama/CodeLlama-7b/  --outfile models/codellama-7b/ggml-model-f16.gguf  --outtype f16
-python3 convert.py ../codellama/CodeLlama-13b/ --outfile models/codellama-13b/ggml-model-f16.gguf --outtype f16
-python3 convert.py ../codellama/CodeLlama-34b/ --outfile models/codellama-34b/ggml-model-f16.gguf --outtype f16
+python3 examples/convert-legacy-llama.py ../codellama/CodeLlama-7b/  --outfile models/codellama-7b/ggml-model-f16.gguf  --outtype f16
+python3 examples/convert-legacy-llama.py ../codellama/CodeLlama-13b/ --outfile models/codellama-13b/ggml-model-f16.gguf --outtype f16
+python3 examples/convert-legacy-llama.py ../codellama/CodeLlama-34b/ --outfile models/codellama-34b/ggml-model-f16.gguf --outtype f16
 
 # Falcon
 python3 convert-falcon-hf-to-gguf.py ../falcon/falcon-7b  1
diff --git a/scripts/debug-test.sh b/scripts/debug-test.sh
index 231a23d69..7b2b601a9 100755
--- a/scripts/debug-test.sh
+++ b/scripts/debug-test.sh
@@ -1,117 +1,203 @@
 #!/bin/bash
-test_suite=${1:-}
-test_number=${2:-}
 
 PROG=${0##*/}
 build_dir="build-ci-debug"
 
-if [ x"$1" = x"-h" ] || [ x"$1" = x"--help" ]; then
-    echo "Usage: $PROG [OPTION]... <test_regex> (test_number)"
-    echo "Debug specific ctest program."
-    echo
-    echo "Options:"
-    echo "  -h, --help       Display this help and exit"
-    echo
-    echo "Arguments:"
-    echo "  <test_regex>     (Mandatory) Supply one regex to the script to filter tests"
-    echo "  (test_number)    (Optional) Test number to run a specific test"
-    echo
-    echo "Example:"
-    echo "  $PROG test-tokenizer"
-    echo "  $PROG test-tokenizer 3"
-    echo
-    exit 0
-fi
+# Print Color Commands
+red=$(tput setaf 1)
+green=$(tput setaf 2)
+yellow=$(tput setaf 3)
+blue=$(tput setaf 4)
+magenta=$(tput setaf 5)
+cyan=$(tput setaf 6)
+normal=$(tput sgr0)
 
-# Function to select and debug a test
-function select_test() {
-    test_suite=${1:-test}
-    test_number=${2:-}
 
-    # Sanity Check If Tests Is Detected
-    printf "\n\nGathering tests that fit REGEX: ${test_suite} ...\n"
-    tests=($(ctest -R ${test_suite} -V -N | grep -E " +Test +#[0-9]+*" | cut -d':' -f2 | awk '{$1=$1};1'))
-    if [ ${#tests[@]} -eq 0 ]
-    then
-        echo "No tests avaliable... check your compliation process..."
-        echo "Exiting."
-        exit 1
-    fi
+# Print Help Message
+####################
 
-    if [ -z $test_number ]
-    then
-        # List out avaliable tests
-        printf "Which test would you like to debug?\n"
-        id=0
-        for s in "${tests[@]}"
-        do
-            echo "Test# ${id}"
-            echo "  $s"
-            ((id++))
-        done
+print_full_help() {
+  cat << EOF
+Usage: $PROG [OPTION]... <test_regex> (test_number)
+Debug specific ctest program.
 
-        # Prompt user which test they wanted to run
-        printf "\nRun test#? "
-        read test_number
-    else
-        printf "\nUser Already Requested #${test_number}"
-    fi
+Options:
+  -h, --help            display this help and exit
+  -g                    run in gdb mode
 
-    # Start GDB with the requested test binary and arguments
-    printf "Debugging(GDB) test: ${tests[test_number]}\n"
-    # Change IFS (Internal Field Separator)
-    sIFS=$IFS
-    IFS=$'\n'
+Arguments:
+  <test_regex>     (Mandatory) Supply one regex to the script to filter tests
+  (test_number)    (Optional) Test number to run a specific test
 
-    # Get test args
-    gdb_args=($(ctest -R ${test_suite} -V -N | grep "Test command" | cut -d':' -f3 | awk '{$1=$1};1' ))
-    IFS=$sIFS
-    printf "Debug arguments: ${gdb_args[test_number]}\n\n"
-
-    # Expand paths if needed
-    args=()
-    for x in $(echo ${gdb_args[test_number]} | sed -e 's/"\/\<//' -e 's/\>"//')
-    do
-        args+=($(echo $x | sed -e 's/.*\/..\//..\//'))
-    done
-
-    # Execute debugger
-    echo "gdb args: ${args[@]}"
-    gdb --args ${args[@]}
+Example:
+  $PROG test-tokenizer
+  $PROG test-tokenizer 3
+EOF
 }
 
+abort() {
+  echo "Error: $1" >&2
+  cat << EOF >&2
+Usage: $PROG [OPTION]... <test_regex> (test_number)
+Debug specific ctest program.
+Refer to --help for full instructions.
+EOF
+  exit 1
+}
+
+
+# Dependency Sanity Check
+#########################
+
+check_dependency() {
+  command -v "$1" >/dev/null 2>&1 || {
+    abort "$1 is required but not found. Please install it and try again."
+  }
+}
+
+check_dependency ctest
+check_dependency cmake
+
+
 # Step 0: Check the args
-if [ -z "$test_suite" ]
-then
-    echo "Usage: $PROG [OPTION]... <test_regex> (test_number)"
-    echo "Supply one regex to the script to filter tests,"
-    echo "and optionally a test number to run a specific test."
-    echo "Use --help flag for full instructions"
-    exit 1
+########################
+
+if [ x"$1" = x"-h" ] || [ x"$1" = x"--help" ]; then
+  print_full_help >&2
+  exit 0
 fi
 
+# Parse command-line options
+gdb_mode=false
+while getopts "g" opt; do
+    case $opt in
+        g)
+            gdb_mode=true
+            echo "gdb_mode Mode Enabled"
+            ;;
+    esac
+done
+
+# Shift the option parameters
+shift $((OPTIND - 1))
+
+# Positionial Argument Processing : <test_regex>
+if [ -z "${1}" ]; then
+    abort "Test regex is required"
+else
+    test_suite=${1:-}
+fi
+
+# Positionial Argument Processing : (test_number)
+test_number=${2:-}
+
+
 # Step 1: Reset and Setup folder context
+########################################
+
 ## Sanity check that we are actually in a git repo
 repo_root=$(git rev-parse --show-toplevel)
 if [ ! -d "$repo_root" ]; then
-    echo "Error: Not in a Git repository."
-    exit 1
+    abort "Not in a Git repository."
 fi
 
-## Reset folder to root context of git repo
-pushd "$repo_root" || exit 1
+## Reset folder to root context of git repo and Create and enter build directory
+pushd "$repo_root"
+rm -rf "$build_dir" && mkdir "$build_dir" || abort "Failed to make $build_dir"
 
-## Create and enter build directory
-rm -rf "$build_dir" && mkdir "$build_dir" || exit 1
 
 # Step 2: Setup Build Environment and Compile Test Binaries
-cmake -B "./$build_dir" -DCMAKE_BUILD_TYPE=Debug -DLLAMA_CUDA=1 -DLLAMA_FATAL_WARNINGS=ON || exit 1
-pushd "$build_dir" && make -j || exit 1
+###########################################################
 
-# Step 3: Debug the Test
-select_test "$test_suite" "$test_number"
+# Note: test-eval-callback requires -DLLAMA_CURL
+cmake -B "./$build_dir" -DCMAKE_BUILD_TYPE=Debug -DLLAMA_CUDA=1 -DLLAMA_CURL=1 || abort "Failed to build enviroment"
+pushd "$build_dir"
+make -j || abort "Failed to compile"
+popd > /dev/null || exit 1
 
-# Step 4: Return to the directory from which the user ran the command.
-popd || exit 1
-popd || exit 1
-popd || exit 1
+
+# Step 3: Find all tests available that matches REGEX
+####################################################
+
+# Ctest Gather Tests
+# `-R test-tokenizer` : looks for all the test files named `test-tokenizer*` (R=Regex)
+# `-N` : "show-only" disables test execution & shows test commands that you can feed to GDB.
+# `-V` : Verbose Mode
+printf "\n\nGathering tests that fit REGEX: ${test_suite} ...\n"
+pushd "$build_dir"
+tests=($(ctest -R ${test_suite} -V -N | grep -E " +Test +#[0-9]+*" | cut -d':' -f2 | awk '{$1=$1};1'))
+if [ ${#tests[@]} -eq 0 ]; then
+    abort "No tests avaliable... check your compliation process..."
+fi
+popd > /dev/null || exit 1
+
+
+# Step 4: Identify Test Command for Debugging
+#############################################
+
+# Select test number
+if [ -z $test_number ]; then
+    # List out avaliable tests
+    printf "Which test would you like to debug?\n"
+    id=0
+    for s in "${tests[@]}"
+    do
+        echo "Test# ${id}"
+        echo "  $s"
+        ((id++))
+    done
+
+    # Prompt user which test they wanted to run
+    printf "\nRun test#? "
+    read test_number
+
+else
+    printf "\nUser Already Requested #${test_number}\n"
+
+fi
+
+# Grab all tests commands
+pushd "$build_dir"
+sIFS=$IFS # Save Initial IFS (Internal Field Separator)
+IFS=$'\n' # Change IFS (Internal Field Separator) (So we split ctest output by newline rather than by spaces)
+test_args=($(ctest -R ${test_suite} -V -N | grep "Test command" | cut -d':' -f3 | awk '{$1=$1};1' )) # Get test args
+IFS=$sIFS # Reset IFS (Internal Field Separator)
+popd > /dev/null || exit 1
+
+# Grab specific test command
+single_test_name="${tests[test_number]}"
+single_test_command="${test_args[test_number]}"
+
+
+# Step 5: Execute or GDB Debug
+##############################
+
+printf "${magenta}Running Test #${test_number}: ${single_test_name}${normal}\n"
+printf "${cyan}single_test_command: ${single_test_command}${normal}\n"
+
+if [ "$gdb_mode" = "true" ]; then
+    # Execute debugger
+    pushd "$repo_root" || exit 1
+    eval "gdb --args ${single_test_command}"
+    popd > /dev/null || exit 1
+
+else
+    # Execute Test
+    pushd "$repo_root" || exit 1
+    eval "${single_test_command}"
+    exit_code=$?
+    popd > /dev/null || exit 1
+
+    # Print Result
+    printf "${blue}Ran Test #${test_number}: ${single_test_name}${normal}\n"
+    printf "${yellow}Command: ${single_test_command}${normal}\n"
+    if [ $exit_code -eq 0 ]; then
+        printf "${green}TEST PASS${normal}\n"
+    else
+        printf "${red}TEST FAIL${normal}\n"
+    fi
+
+fi
+
+# Return to the directory from which the user ran the command.
+popd > /dev/null || exit 1
diff --git a/scripts/gen-unicode-data.py b/scripts/gen-unicode-data.py
index 37d1e396c..744873c2a 100644
--- a/scripts/gen-unicode-data.py
+++ b/scripts/gen-unicode-data.py
@@ -1,64 +1,134 @@
 import regex
+import ctypes
+import unicodedata
 
 
-def get_matches(regex_expr):
-    regex_expr_compiled = regex.compile(regex_expr)
-    unicode_ranges = []
-    current_range = None
-
-    for codepoint in range(0x110000):
-        char = chr(codepoint)
-        if regex_expr_compiled.match(char):
-            if current_range is None:
-                current_range = [codepoint, codepoint]
-            else:
-                current_range[1] = codepoint
-        elif current_range is not None:
-            unicode_ranges.append(tuple(current_range))
-            current_range = None
-
-    if current_range is not None:
-        unicode_ranges.append(tuple(current_range))
-
-    return unicode_ranges
+class CoodepointFlags (ctypes.Structure):
+    _fields_ = [  # see definition in unicode.h
+        ("is_undefined",   ctypes.c_uint16, 1),
+        ("is_number",      ctypes.c_uint16, 1),  # regex: \p{N}
+        ("is_letter",      ctypes.c_uint16, 1),  # regex: \p{L}
+        ("is_separator",   ctypes.c_uint16, 1),  # regex: \p{Z}
+        ("is_accent_mark", ctypes.c_uint16, 1),  # regex: \p{M}
+        ("is_punctuation", ctypes.c_uint16, 1),  # regex: \p{P}
+        ("is_symbol",      ctypes.c_uint16, 1),  # regex: \p{S}
+        ("is_control",     ctypes.c_uint16, 1),  # regex: \p{C}
+    ]
 
 
-def print_cat(mode, cat, ranges):
-    if mode == "range":
-        print("const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_{} = {{".format(cat)) # noqa: NP100
-    if mode == "map":
-        print("const std::map<uint32_t, uint32_t> unicode_map_{} = {{".format(cat)) # noqa: NP100
-    for i, values in enumerate(ranges):
-        end = ",\n" if (i % 4 == 3 or i + 1 == len(ranges)) else ", "
-        values = ["0x%08X" % value for value in values]
-        print("{" + ", ".join(values) + "}", end=end) # noqa: NP100
-    print("};") # noqa: NP100
-    print("") # noqa: NP100
+assert (ctypes.sizeof(CoodepointFlags) == 2)
 
 
-print_cat("range", "number",      get_matches(r'\p{N}'))
-print_cat("range", "letter",      get_matches(r'\p{L}'))
-print_cat("range", "separator",   get_matches(r'\p{Z}'))
-print_cat("range", "accent_mark", get_matches(r'\p{M}'))
-print_cat("range", "punctuation", get_matches(r'\p{P}'))
-print_cat("range", "symbol",      get_matches(r'\p{S}'))
-print_cat("range", "control",     get_matches(r'\p{C}'))
+MAX_CODEPOINTS = 0x110000
 
-print_cat("range", "whitespace",  get_matches(r'\s'))
+regex_number      = regex.compile(r'\p{N}')
+regex_letter      = regex.compile(r'\p{L}')
+regex_separator   = regex.compile(r'\p{Z}')
+regex_accent_mark = regex.compile(r'\p{M}')
+regex_punctuation = regex.compile(r'\p{P}')
+regex_symbol      = regex.compile(r'\p{S}')
+regex_control     = regex.compile(r'\p{C}')
+regex_whitespace  = regex.compile(r'\s')
 
+codepoint_flags = (CoodepointFlags * MAX_CODEPOINTS)()
+table_whitespace = []
+table_lowercase = []
+table_uppercase = []
+table_nfd = []
 
-map_lowercase = []
-map_uppercase = []
-for codepoint in range(0x110000):
+for codepoint in range(MAX_CODEPOINTS):
+    # convert codepoint to unicode character
     char = chr(codepoint)
+
+    # regex categories
+    flags = codepoint_flags[codepoint]
+    flags.is_number      = bool(regex_number.match(char))
+    flags.is_letter      = bool(regex_letter.match(char))
+    flags.is_separator   = bool(regex_separator.match(char))
+    flags.is_accent_mark = bool(regex_accent_mark.match(char))
+    flags.is_punctuation = bool(regex_punctuation.match(char))
+    flags.is_symbol      = bool(regex_symbol.match(char))
+    flags.is_control     = bool(regex_control.match(char))
+    flags.is_undefined   = bytes(flags)[0] == 0
+    assert (not flags.is_undefined)
+
+    # whitespaces
+    if bool(regex_whitespace.match(char)):
+        table_whitespace.append(codepoint)
+
+    # lowercase conversion
     lower = ord(char.lower()[0])
-    upper = ord(char.upper()[0])
     if codepoint != lower:
-        map_lowercase.append((codepoint, lower))
+        table_lowercase.append((codepoint, lower))
+
+    # uppercase conversion
+    upper = ord(char.upper()[0])
     if codepoint != upper:
-        map_uppercase.append((codepoint, upper))
-print_cat("map", "lowercase", map_lowercase)
-print_cat("map", "uppercase", map_uppercase)
+        table_uppercase.append((codepoint, upper))
+
+    # NFD normalization
+    norm = ord(unicodedata.normalize('NFD', char)[0])
+    if codepoint != norm:
+        table_nfd.append((codepoint, norm))
 
 
-# TODO: generate unicode_map_nfd
+# group ranges with same flags
+ranges_flags = [(0, codepoint_flags[0])]  # start, flags
+for codepoint, flags in enumerate(codepoint_flags):
+    if bytes(flags) != bytes(ranges_flags[-1][1]):
+        ranges_flags.append((codepoint, flags))
+ranges_flags.append((MAX_CODEPOINTS, CoodepointFlags()))
+
+
+# group ranges with same nfd
+ranges_nfd = [(0, 0, 0)]  # start, last, nfd
+for codepoint, norm in table_nfd:
+    start = ranges_nfd[-1][0]
+    if ranges_nfd[-1] != (start, codepoint - 1, norm):
+        ranges_nfd.append(None)
+        start = codepoint
+    ranges_nfd[-1] = (start, codepoint, norm)
+
+
+# Generate 'unicode-data.cpp'
+
+
+def out(line=""):
+    print(line, end='\n')  # noqa
+
+
+out("""\
+// generated with scripts/gen-unicode-data.py
+
+#include "unicode-data.h"
+
+#include <cstdint>
+#include <vector>
+#include <unordered_map>
+#include <unordered_set>
+""")
+
+out("const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // start, flags // last=next_start-1")
+for codepoint, flags in ranges_flags:
+    flags = int.from_bytes(bytes(flags), "little")
+    out("{0x%06X, 0x%04X}," % (codepoint, flags))
+out("};\n")
+
+out("const std::unordered_set<uint32_t> unicode_set_whitespace = {")
+out(", ".join("0x%06X" % cpt for cpt in table_whitespace))
+out("};\n")
+
+out("const std::unordered_map<uint32_t, uint32_t> unicode_map_lowercase = {")
+for tuple in table_lowercase:
+    out("{0x%06X, 0x%06X}," % tuple)
+out("};\n")
+
+out("const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {")
+for tuple in table_uppercase:
+    out("{0x%06X, 0x%06X}," % tuple)
+out("};\n")
+
+out("const std::vector<range_nfd> unicode_ranges_nfd = {  // start, last, nfd")
+for triple in ranges_nfd:
+    out("{0x%06X, 0x%06X, 0x%06X}," % triple)
+out("};\n")
diff --git a/scripts/pod-llama.sh b/scripts/pod-llama.sh
index 2058ceabf..5dabbf60e 100644
--- a/scripts/pod-llama.sh
+++ b/scripts/pod-llama.sh
@@ -75,7 +75,7 @@ if [ "$1" -eq "1" ]; then
 
     cd /workspace/llama.cpp
 
-    python3 convert.py ./models/tinyllama-1b  --outfile ./models/tinyllama-1b/ggml-model-f16.gguf  --outtype f16
+    python3 examples/convert-legacy-llama.py ./models/tinyllama-1b  --outfile ./models/tinyllama-1b/ggml-model-f16.gguf  --outtype f16
 
     ./quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q4_0.gguf q4_0
     ./quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q4_k.gguf q4_k
@@ -90,7 +90,7 @@ if [ "$1" -eq "2" ]; then
 
     cd /workspace/llama.cpp
 
-    python3 convert.py ./models/codellama-7b  --outfile ./models/codellama-7b/ggml-model-f16.gguf  --outtype f16
+    python3 examples/convert-legacy-llama.py ./models/codellama-7b  --outfile ./models/codellama-7b/ggml-model-f16.gguf  --outtype f16
 
     ./quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q4_0.gguf q4_0
     ./quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q4_k.gguf q4_k
@@ -105,7 +105,7 @@ if [ "$1" -eq "3" ]; then
 
     cd /workspace/llama.cpp
 
-    python3 convert.py ./models/codellama-13b --outfile ./models/codellama-13b/ggml-model-f16.gguf --outtype f16
+    python3 examples/convert-legacy-llama.py ./models/codellama-13b --outfile ./models/codellama-13b/ggml-model-f16.gguf --outtype f16
 
     ./quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q4_0.gguf q4_0
     ./quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q4_k.gguf q4_k
@@ -120,7 +120,7 @@ if [ "$1" -eq "4" ]; then
 
     cd /workspace/llama.cpp
 
-    python3 convert.py ./models/codellama-34b --outfile ./models/codellama-34b/ggml-model-f16.gguf --outtype f16
+    python3 examples/convert-legacy-llama.py ./models/codellama-34b --outfile ./models/codellama-34b/ggml-model-f16.gguf --outtype f16
 
     ./quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q4_0.gguf q4_0
     ./quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q4_k.gguf q4_k
@@ -135,7 +135,7 @@ if [ "$1" -eq "5" ]; then
 
     cd /workspace/llama.cpp
 
-    python3 convert.py ./models/codellama-7b-instruct  --outfile ./models/codellama-7b-instruct/ggml-model-f16.gguf  --outtype f16
+    python3 examples/convert-legacy-llama.py ./models/codellama-7b-instruct  --outfile ./models/codellama-7b-instruct/ggml-model-f16.gguf  --outtype f16
 
     ./quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q4_0.gguf q4_0
     ./quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q4_k.gguf q4_k
@@ -150,7 +150,7 @@ if [ "$1" -eq "6" ]; then
 
     cd /workspace/llama.cpp
 
-    python3 convert.py ./models/codellama-13b-instruct --outfile ./models/codellama-13b-instruct/ggml-model-f16.gguf --outtype f16
+    python3 examples/convert-legacy-llama.py ./models/codellama-13b-instruct --outfile ./models/codellama-13b-instruct/ggml-model-f16.gguf --outtype f16
 
     ./quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q4_0.gguf q4_0
     ./quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q4_k.gguf q4_k
@@ -165,7 +165,7 @@ if [ "$1" -eq "7" ]; then
 
     cd /workspace/llama.cpp
 
-    python3 convert.py ./models/codellama-34b-instruct --outfile ./models/codellama-34b-instruct/ggml-model-f16.gguf --outtype f16
+    python3 examples/convert-legacy-llama.py ./models/codellama-34b-instruct --outfile ./models/codellama-34b-instruct/ggml-model-f16.gguf --outtype f16
 
     ./quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q4_0.gguf q4_0
     ./quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q4_k.gguf q4_k
diff --git a/scripts/run-with-preset.py b/scripts/run-with-preset.py
index e986a3604..0d7219113 100755
--- a/scripts/run-with-preset.py
+++ b/scripts/run-with-preset.py
@@ -13,12 +13,12 @@ logger = logging.getLogger("run-with-preset")
 CLI_ARGS_MAIN_PERPLEXITY = [
     "batch-size", "cfg-negative-prompt", "cfg-scale", "chunks", "color", "ctx-size", "escape",
     "export", "file", "frequency-penalty", "grammar", "grammar-file", "hellaswag",
-    "hellaswag-tasks", "ignore-eos", "in-prefix", "in-prefix-bos", "in-suffix", "instruct",
+    "hellaswag-tasks", "ignore-eos", "in-prefix", "in-prefix-bos", "in-suffix",
     "interactive", "interactive-first", "keep", "logdir", "logit-bias", "lora", "lora-base",
     "low-vram", "main-gpu", "memory-f32", "mirostat", "mirostat-ent", "mirostat-lr", "mlock",
     "model", "multiline-input", "n-gpu-layers", "n-predict", "no-mmap", "no-mul-mat-q",
     "np-penalize-nl", "numa", "ppl-output-type", "ppl-stride", "presence-penalty", "prompt",
-    "prompt-cache", "prompt-cache-all", "prompt-cache-ro", "random-prompt", "repeat-last-n",
+    "prompt-cache", "prompt-cache-all", "prompt-cache-ro", "repeat-last-n",
     "repeat-penalty", "reverse-prompt", "rope-freq-base", "rope-freq-scale", "rope-scale", "seed",
     "simple-io", "tensor-split", "threads", "temp", "tfs", "top-k", "top-p", "typical",
     "verbose-prompt"
diff --git a/scripts/server-llm.sh b/scripts/server-llm.sh
index eb6ce458e..b3715e204 100644
--- a/scripts/server-llm.sh
+++ b/scripts/server-llm.sh
@@ -3,7 +3,7 @@
 # Helper script for deploying llama.cpp server with a single Bash command
 #
 # - Works on Linux and macOS
-# - Supports: CPU, CUDA, Metal, OpenCL
+# - Supports: CPU, CUDA, Metal
 # - Can run all GGUF models from HuggingFace
 # - Can serve requests in parallel
 # - Always builds latest llama.cpp from GitHub
@@ -19,7 +19,7 @@
 #   --port:            port number, default is 8888
 #   --repo:            path to a repo containing GGUF model files
 #   --wtype:           weights type (f16, q8_0, q4_0, q4_1), default is user-input
-#   --backend:         cpu, cuda, metal, opencl, depends on the OS
+#   --backend:         cpu, cuda, metal, depends on the OS
 #   --gpu-id:          gpu id, default is 0
 #   --n-parallel:      number of parallel requests, default is 8
 #   --n-kv:            KV cache size, default is 4096
@@ -72,7 +72,7 @@ function print_usage {
     printf "  --port:             port number, default is 8888\n"
     printf "  --repo:             path to a repo containing GGUF model files\n"
     printf "  --wtype:            weights type (f16, q8_0, q4_0, q4_1), default is user-input\n"
-    printf "  --backend:          cpu, cuda, metal, opencl, depends on the OS\n"
+    printf "  --backend:          cpu, cuda, metal, depends on the OS\n"
     printf "  --gpu-id:           gpu id, default is 0\n"
     printf "  --n-parallel:       number of parallel requests, default is 8\n"
     printf "  --n-kv:             KV cache size, default is 4096\n"
@@ -387,9 +387,6 @@ elif [[ "$backend" == "cpu" ]]; then
 elif [[ "$backend" == "metal" ]]; then
     printf "[+] Building with Metal backend\n"
     make -j server $log
-elif [[ "$backend" == "opencl" ]]; then
-    printf "[+] Building with OpenCL backend\n"
-    LLAMA_CLBLAST=1 make -j server $log
 else
     printf "[-] Unknown backend: %s\n" "$backend"
     exit 1
@@ -407,8 +404,6 @@ elif [[ "$backend" == "cpu" ]]; then
     args="-ngl 0"
 elif [[ "$backend" == "metal" ]]; then
     args="-ngl 999"
-elif [[ "$backend" == "opencl" ]]; then
-    args="-ngl 999"
 else
     printf "[-] Unknown backend: %s\n" "$backend"
     exit 1
diff --git a/scripts/sync-ggml-am.sh b/scripts/sync-ggml-am.sh
index 7c157eb4c..9e34dc8b9 100755
--- a/scripts/sync-ggml-am.sh
+++ b/scripts/sync-ggml-am.sh
@@ -106,12 +106,10 @@ if [ -f $SRC_LLAMA/ggml-src.patch ]; then
     # src/ggml-kompute.h          -> ggml-kompute.h
     # src/ggml-metal.h            -> ggml-metal.h
     # src/ggml-metal.m            -> ggml-metal.m
-    # src/ggml-mpi.h              -> ggml-mpi.h
-    # src/ggml-mpi.c              -> ggml-mpi.c
-    # src/ggml-opencl.cpp         -> ggml-opencl.cpp
-    # src/ggml-opencl.h           -> ggml-opencl.h
     # src/ggml-quants.c           -> ggml-quants.c
     # src/ggml-quants.h           -> ggml-quants.h
+    # src/ggml-rpc.cpp            -> ggml-rpc.cpp
+    # src/ggml-rpc.h              -> ggml-rpc.h
     # src/ggml-sycl.cpp           -> ggml-sycl.cpp
     # src/ggml-sycl.h             -> ggml-sycl.h
     # src/ggml-vulkan.cpp         -> ggml-vulkan.cpp
@@ -143,12 +141,10 @@ if [ -f $SRC_LLAMA/ggml-src.patch ]; then
         -e 's/src\/ggml-kompute\.h/ggml-kompute.h/g' \
         -e 's/src\/ggml-metal\.h/ggml-metal.h/g' \
         -e 's/src\/ggml-metal\.m/ggml-metal.m/g' \
-        -e 's/src\/ggml-mpi\.h/ggml-mpi.h/g' \
-        -e 's/src\/ggml-mpi\.c/ggml-mpi.c/g' \
-        -e 's/src\/ggml-opencl\.cpp/ggml-opencl.cpp/g' \
-        -e 's/src\/ggml-opencl\.h/ggml-opencl.h/g' \
         -e 's/src\/ggml-quants\.c/ggml-quants.c/g' \
         -e 's/src\/ggml-quants\.h/ggml-quants.h/g' \
+        -e 's/src\/ggml-rpc\.cpp/ggml-rpc.cpp/g' \
+        -e 's/src\/ggml-rpc\.h/ggml-rpc.h/g' \
         -e 's/src\/ggml-sycl\.cpp/ggml-sycl.cpp/g' \
         -e 's/src\/ggml-sycl\.h/ggml-sycl.h/g' \
         -e 's/src\/ggml-vulkan\.cpp/ggml-vulkan.cpp/g' \
diff --git a/scripts/sync-ggml.last b/scripts/sync-ggml.last
index 1ea320429..5042f82ae 100644
--- a/scripts/sync-ggml.last
+++ b/scripts/sync-ggml.last
@@ -1 +1 @@
-30f54cbb3ada3e4c5bc6924de3e5918e5be4ff11
+2aae01fd9b8f9399f343cf18f46f38996ef52e2c
diff --git a/scripts/sync-ggml.sh b/scripts/sync-ggml.sh
index 80c43976f..4843f8a4a 100755
--- a/scripts/sync-ggml.sh
+++ b/scripts/sync-ggml.sh
@@ -14,12 +14,10 @@ cp -rpv ../ggml/src/ggml-kompute.h          ./ggml-kompute.h
 cp -rpv ../ggml/src/ggml-metal.h            ./ggml-metal.h
 cp -rpv ../ggml/src/ggml-metal.m            ./ggml-metal.m
 cp -rpv ../ggml/src/ggml-metal.metal        ./ggml-metal.metal
-cp -rpv ../ggml/src/ggml-mpi.h              ./ggml-mpi.h
-cp -rpv ../ggml/src/ggml-mpi.c              ./ggml-mpi.c
-cp -rpv ../ggml/src/ggml-opencl.cpp         ./ggml-opencl.cpp
-cp -rpv ../ggml/src/ggml-opencl.h           ./ggml-opencl.h
 cp -rpv ../ggml/src/ggml-quants.c           ./ggml-quants.c
 cp -rpv ../ggml/src/ggml-quants.h           ./ggml-quants.h
+cp -rpv ../ggml/src/ggml-rpc.cpp            ./ggml-rpc.cpp
+cp -rpv ../ggml/src/ggml-rpc.h              ./ggml-rpc.h
 cp -rpv ../ggml/src/ggml-sycl.cpp           ./ggml-sycl.cpp
 cp -rpv ../ggml/src/ggml-sycl.h             ./ggml-sycl.h
 cp -rpv ../ggml/src/ggml-vulkan.cpp         ./ggml-vulkan.cpp
diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index 766a01752..cfa707315 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -129,8 +129,11 @@ llama_target_and_test(test-rope.cpp)
 llama_target_and_test(test-model-load-cancel.cpp  LABEL "model")
 llama_target_and_test(test-autorelease.cpp        LABEL "model")
 
-llama_target_and_test(test-json-schema-to-grammar.cpp   WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/..)
-target_include_directories(test-json-schema-to-grammar PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}/../examples/server)
+# TODO: disabled on loongarch64 because the ggml-ci node lacks Python 3.8
+if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "loongarch64")
+    llama_target_and_test(test-json-schema-to-grammar.cpp   WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/..)
+    target_include_directories(test-json-schema-to-grammar PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}/../examples/server)
+endif()
 
 # dummy executable - not installed
 get_filename_component(TEST_TARGET test-c.c NAME_WE)
diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp
index 45a2cb85a..ce406a8af 100644
--- a/tests/test-backend-ops.cpp
+++ b/tests/test-backend-ops.cpp
@@ -16,6 +16,7 @@
 #include <thread>
 #include <vector>
 
+
 static void init_tensor_uniform(ggml_tensor * tensor, float min = -1.0f, float max = 1.0f) {
     // static RNG initialization (revisit if n_threads stops being constant)
     static const size_t n_threads = std::thread::hardware_concurrency();
@@ -49,6 +50,22 @@ static void init_tensor_uniform(ggml_tensor * tensor, float min = -1.0f, float m
         t.join();
     }
 
+#if 0
+    const char * val_str = getenv("GGML_TEST_EPS");
+    float val = 1e-9f;
+    if (val_str != nullptr) {
+        val = std::stof(val_str);
+        printf("GGML_TEST_EPS=%e\n", val);
+    }
+
+    // test quantization with very small values that may result in nan scales due to division by zero
+    if (ggml_is_quantized(tensor->type)) {
+        for (int i = 0; i < 256; i++) {
+            data[i] = val;
+        }
+    }
+#endif
+
     if (tensor->type == GGML_TYPE_F32 || tensor->type == GGML_TYPE_I32) {
         ggml_backend_tensor_set(tensor, data.data(), 0, size * sizeof(float));
     } else if (ggml_is_quantized(tensor->type) || tensor->type == GGML_TYPE_F16 || tensor->type == GGML_TYPE_BF16) {
@@ -64,6 +81,7 @@ static void init_tensor_uniform(ggml_tensor * tensor, float min = -1.0f, float m
             }
         }
         ggml_quantize_chunk(tensor->type, data.data(), dataq.data(), 0, size/tensor->ne[0], tensor->ne[0], im);
+        GGML_ASSERT(ggml_validate_row_data(tensor->type, dataq.data(), dataq.size()));
         ggml_backend_tensor_set(tensor, dataq.data(), 0, dataq.size());
     } else if (tensor->type == GGML_TYPE_I8 || tensor->type == GGML_TYPE_I16 || tensor->type == GGML_TYPE_I32) {
         // This is going to create some weird integers though.
@@ -1120,24 +1138,37 @@ struct test_soft_max : public test_case {
 // GGML_OP_ROPE
 struct test_rope : public test_case {
     const ggml_type type;
-    const std::array<int64_t, 4> ne;
+    const std::array<int64_t, 4> ne_a;
     int n_dims;
     int mode;
-    int n_ctx;
+    int n_ctx; // used to generate positions
+    float fs; // freq_scale
+    float ef; // ext_factor
+    float af; // attn_factor
+    bool ff;
+    int v; // view (1 : non-contiguous a)
 
     std::string vars() override {
-        return VARS_TO_STR5(type, ne, n_dims, mode, n_ctx);
+        return VARS_TO_STR10(type, ne_a, n_dims, mode, n_ctx, fs, ef, af, ff, v);
     }
 
     test_rope(ggml_type type = GGML_TYPE_F32,
-            std::array<int64_t, 4> ne = {10, 10, 10, 1},
-            int n_dims = 10, int mode = 0, int n_ctx = 512)
-        : type(type), ne(ne), n_dims(n_dims), mode(mode), n_ctx(n_ctx) {}
+            std::array<int64_t, 4> ne_a = {10, 10, 10, 1},
+            int n_dims = 10, int mode = 0, int n_ctx = 512, float fs = 1.0f, float ef = 0.0f, float af = 0.0f, bool ff = false, int v = 0)
+        : type(type), ne_a(ne_a), n_dims(n_dims), mode(mode), n_ctx(n_ctx), fs(fs), ef(ef), af(af), ff(ff), v(v) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
-        ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data());
-        ggml_tensor * pos = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, ne[2]);
-        ggml_tensor * out = ggml_rope(ctx, a, pos, n_dims, mode, n_ctx);
+        ggml_tensor * a;
+        if (v & 1) {
+            auto ne = ne_a; ne[0] *= 2; ne[1] *= 4; ne[2] *= 3;
+            a = ggml_new_tensor(ctx, type, 4, ne.data());
+            a = ggml_view_4d(ctx, a, ne_a[0], ne_a[1], ne_a[2], ne_a[3], a->nb[1], a->nb[2], a->nb[3], 0);
+        } else {
+            a = ggml_new_tensor(ctx, type, 4, ne_a.data());
+        }
+        ggml_tensor * pos = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, ne_a[2]);
+        ggml_tensor * freq = ff ? ggml_new_tensor_1d(ctx, GGML_TYPE_F32, n_dims/2) : nullptr;
+        ggml_tensor * out = ggml_rope_ext(ctx, a, pos, freq, n_dims, mode, 0, 10000.0f, fs, ef, af, 1.0f, 1.0f);
         return out;
     }
 
@@ -1145,13 +1176,18 @@ struct test_rope : public test_case {
         for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) {
             if (t->type == GGML_TYPE_I32) {
                 // pos
-                std::vector<int> data(ne[2]);
-                for (int i = 0; i < ne[2]; i++) {
+                std::vector<int> data(ne_a[2]);
+                for (int i = 0; i < ne_a[2]; i++) {
                     data[i] = rand() % n_ctx;
                 }
-                ggml_backend_tensor_set(t, data.data(), 0, ne[2] * sizeof(int));
+                ggml_backend_tensor_set(t, data.data(), 0, ne_a[2] * sizeof(int));
             } else {
-                init_tensor_uniform(t);
+                if (t->ne[0] == n_dims/2) {
+                    // frequency factors in the range [0.9f, 1.1f]
+                    init_tensor_uniform(t, 0.9f, 1.1f);
+                } else {
+                    init_tensor_uniform(t);
+                }
             }
         }
     }
@@ -1234,22 +1270,41 @@ struct test_im2col : public test_case {
 // GGML_OP_CONCAT
 struct test_concat : public test_case {
     const ggml_type type;
-    const std::array<int64_t, 4> ne;
-    const int64_t b_ne2;
+    const std::array<int64_t, 4> ne_a;
+    const int64_t ne_b_d;
+    const int dim;
+    const int v; // view (1 << 0: non-cont a, 1 << 1: non-cont b)
 
     std::string vars() override {
-        return VARS_TO_STR3(type, ne, b_ne2);
+        return VARS_TO_STR5(type, ne_a, ne_b_d, dim, v);
     }
 
     test_concat(ggml_type type = GGML_TYPE_F32,
-            std::array<int64_t, 4> ne = {10, 10, 10, 10},
-            int64_t b_ne2 = 10)
-        : type(type), ne(ne), b_ne2(b_ne2) {}
+            std::array<int64_t, 4> ne_a = {10, 10, 10, 10},
+            int64_t ne_b_d = 10,
+            int dim = 2, int v = 0)
+        : type(type), ne_a(ne_a), ne_b_d(ne_b_d), dim(dim), v(v) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
-        ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data());
-        ggml_tensor * b = ggml_new_tensor_4d(ctx, type, ne[0], ne[1], b_ne2, ne[3]);
-        ggml_tensor * out = ggml_concat(ctx, a, b);
+        auto ne_b = ne_a;
+        ne_b[dim] = ne_b_d;
+        ggml_tensor * a;
+        if (v & 1) {
+            auto ne = ne_a; ne[0] *= 2; ne[1] *= 4; ne[2] *= 3;
+            a = ggml_new_tensor(ctx, type, 4, ne.data());
+            a = ggml_view_4d(ctx, a, ne_a[0], ne_a[1], ne_a[2], ne_a[3], a->nb[1], a->nb[2], a->nb[3], 0);
+        } else {
+            a = ggml_new_tensor(ctx, type, 4, ne_a.data());
+        }
+        ggml_tensor * b;
+        if (v & 2) {
+            auto ne = ne_b; ne[0] *= 3; ne[1] *= 2; ne[2] *= 4;
+            b = ggml_new_tensor(ctx, type, 4, ne.data());
+            b = ggml_view_4d(ctx, b, ne_b[0], ne_b[1], ne_b[2], ne_b[3], b->nb[1], b->nb[2], b->nb[3], 0);
+        } else {
+            b = ggml_new_tensor(ctx, type, 4, ne_b.data());
+        }
+        ggml_tensor * out = ggml_concat(ctx, a, b, dim);
         return out;
     }
 };
@@ -1329,23 +1384,47 @@ struct test_upscale : public test_case {
     const ggml_type type;
     const std::array<int64_t, 4> ne;
     const int32_t scale_factor;
+    const bool transpose;
 
     std::string vars() override {
-        return VARS_TO_STR3(type, ne, scale_factor);
+        return VARS_TO_STR4(type, ne, scale_factor, transpose);
     }
 
     test_upscale(ggml_type type = GGML_TYPE_F32,
             std::array<int64_t, 4> ne = {512, 512, 3, 1},
-            int32_t scale_factor = 2)
-        : type(type), ne(ne), scale_factor(scale_factor) {}
+            int32_t scale_factor = 2, bool transpose = false)
+        : type(type), ne(ne), scale_factor(scale_factor), transpose(transpose) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
         ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data());
+        if (transpose) a = ggml_transpose(ctx, a);
         ggml_tensor * out = ggml_upscale(ctx, a, scale_factor);
         return out;
     }
 };
 
+// GGML_OP_UPSCALE (ext)
+struct test_upscale_ext : public test_case {
+    const ggml_type type;
+    const std::array<int64_t, 4> ne;
+    const std::array<int64_t, 4> ne_tgt;
+
+    std::string vars() override {
+        return VARS_TO_STR3(type, ne, ne_tgt);
+    }
+
+    test_upscale_ext(ggml_type type = GGML_TYPE_F32,
+            std::array<int64_t, 4> ne     = {2, 5,  7, 11},
+            std::array<int64_t, 4> ne_tgt = {5, 7, 11, 13})
+        : type(type), ne(ne), ne_tgt(ne_tgt) {}
+
+    ggml_tensor * build_graph(ggml_context * ctx) override {
+        ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data());
+        ggml_tensor * out = ggml_upscale_ext(ctx, a, ne_tgt[0], ne_tgt[1],ne_tgt[2], ne_tgt[3]);
+        return out;
+    }
+};
+
 // GGML_OP_GROUP_NORM
 struct test_group_norm : public test_case {
     const ggml_type type;
@@ -1487,25 +1566,31 @@ struct test_flash_attn_ext : public test_case {
     const int64_t kv; // kv size
     const int64_t nb; // batch size
 
+    const bool mask; // use mask
+
     const float max_bias; // ALiBi
 
+    const ggml_type type_KV;
+
     std::string vars() override {
-        return VARS_TO_STR5(hs, nh, kv, nb, max_bias);
+        return VARS_TO_STR7(hs, nh, kv, nb, mask, max_bias, type_KV);
     }
 
     double max_nmse_err() override {
         return 5e-4;
     }
 
-    test_flash_attn_ext(int64_t hs = 128, int64_t nh = 32, int64_t kv = 96, int64_t nb = 8, float max_bias = 0.0f)
-        : hs(hs), nh(nh), kv(kv), nb(nb), max_bias(max_bias) {}
+    test_flash_attn_ext(int64_t hs = 128, int64_t nh = 32, int64_t kv = 96, int64_t nb = 8, bool mask = true, float max_bias = 0.0f, ggml_type type_KV = GGML_TYPE_F16)
+        : hs(hs), nh(nh), kv(kv), nb(nb), mask(mask), max_bias(max_bias), type_KV(type_KV) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
-        ggml_tensor * q = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, hs, nb, nh, 1);
-        ggml_tensor * k = ggml_new_tensor_4d(ctx, GGML_TYPE_F16, hs, kv, nh, 1);
-        ggml_tensor * v = ggml_new_tensor_4d(ctx, GGML_TYPE_F16, hs, kv, nh, 1);
-        ggml_tensor * mask = ggml_new_tensor_4d(ctx, GGML_TYPE_F16, kv, GGML_PAD(nb, GGML_KQ_MASK_PAD), 1, 1);
-        ggml_tensor * out = ggml_flash_attn_ext(ctx, q, k, v, mask, 1.0f/sqrtf(hs), max_bias);
+        const int64_t hs_padded = GGML_PAD(hs, ggml_blck_size(type_KV));
+
+        ggml_tensor * q = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, hs_padded, nb, nh, 1);
+        ggml_tensor * k = ggml_new_tensor_4d(ctx, type_KV,       hs_padded, kv, nh, 1);
+        ggml_tensor * v = ggml_new_tensor_4d(ctx, type_KV,       hs_padded, kv, nh, 1);
+        ggml_tensor * m = mask ? ggml_new_tensor_4d(ctx, GGML_TYPE_F16, kv, GGML_PAD(nb, GGML_KQ_MASK_PAD), 1, 1) : nullptr;
+        ggml_tensor * out = ggml_flash_attn_ext(ctx, q, k, v, m, 1.0f/sqrtf(hs), max_bias);
         return out;
     }
 };
@@ -1530,7 +1615,7 @@ struct llama_hparams {
 
     // cparams
     static constexpr uint32_t n_ctx = 512; // user-specified context size
-    static constexpr uint32_t n_orig_ctx = n_ctx;
+    static constexpr uint32_t n_ctx_orig = n_ctx;
 
     // batch
     int32_t n_tokens;
@@ -1719,15 +1804,15 @@ struct test_llama : public test_llm {
                 struct ggml_tensor * Kcur = ggml_mul_mat(ctx, wk, cur);
                 struct ggml_tensor * Vcur = ggml_mul_mat(ctx, wv, cur);
 
-                Qcur = ggml_rope_custom(
-                    ctx, ggml_reshape_3d(ctx, Qcur, hp.n_embd_head, hp.n_head,    hp.n_tokens), inp_pos,
-                    hp.n_rot, 0, 0, hp.n_orig_ctx, freq_base, freq_scale,
+                Qcur = ggml_rope_ext(
+                    ctx, ggml_reshape_3d(ctx, Qcur, hp.n_embd_head, hp.n_head,    hp.n_tokens), inp_pos, nullptr,
+                    hp.n_rot, 0, hp.n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
 
-                Kcur = ggml_rope_custom(
-                    ctx, ggml_reshape_3d(ctx, Kcur, hp.n_embd_head, hp.n_head_kv, hp.n_tokens), inp_pos,
-                    hp.n_rot, 0, 0, hp.n_orig_ctx, freq_base, freq_scale,
+                Kcur = ggml_rope_ext(
+                    ctx, ggml_reshape_3d(ctx, Kcur, hp.n_embd_head, hp.n_head_kv, hp.n_tokens), inp_pos, nullptr,
+                    hp.n_rot, 0, hp.n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
 
@@ -1845,13 +1930,13 @@ struct test_falcon : public test_llm {
                 Kcur = ggml_reshape_3d(ctx, Kcur, hp.n_embd_head, hp.n_head_kv, hp.n_tokens);
 
                 // using mode = 2 for neox mode
-                Qcur = ggml_rope_custom(
-                    ctx, Qcur, inp_pos, hp.n_rot, 2, 0, hp.n_orig_ctx,
+                Qcur = ggml_rope_ext(
+                    ctx, Qcur, inp_pos, nullptr, hp.n_rot, 2, hp.n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
 
-                Kcur = ggml_rope_custom(
-                    ctx, Kcur, inp_pos, hp.n_rot, 2, 0, hp.n_orig_ctx,
+                Kcur = ggml_rope_ext(
+                    ctx, Kcur, inp_pos, nullptr, hp.n_rot, 2, hp.n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
 
@@ -2143,21 +2228,48 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
     test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {32, 2, 32, 1}, true,  0.1f, 0.0f));
     test_cases.emplace_back(new test_soft_max(GGML_TYPE_F32, {32, 2, 32, 1}, true,  0.1f, 8.0f));
 
-    for (ggml_type type : {GGML_TYPE_F32, GGML_TYPE_F16}) {
-        test_cases.emplace_back(new test_rope(type, {128,  32, 10, 1}, 128, 0, 512)); // llama 7B
-        test_cases.emplace_back(new test_rope(type, {128,  40, 10, 1}, 128, 0, 512)); // llama 13B
-        test_cases.emplace_back(new test_rope(type, {128,  52, 10, 1}, 128, 0, 512)); // llama 30B
-        test_cases.emplace_back(new test_rope(type, {128,  64, 10, 1}, 128, 0, 512)); // llama 65B
-        test_cases.emplace_back(new test_rope(type, { 64,   1, 10, 1},  64, 2, 512)); // neox (falcon 7B)
-        test_cases.emplace_back(new test_rope(type, { 64,  71, 10, 1},  64, 2, 512)); // neox (falcon 7B)
-        test_cases.emplace_back(new test_rope(type, { 64,   8, 10, 1},  64, 2, 512)); // neox (falcon 40B)
-        test_cases.emplace_back(new test_rope(type, { 64, 128, 10, 1},  64, 2, 512)); // neox (falcon 40B)
-        test_cases.emplace_back(new test_rope(type, { 80,  32, 10, 1},  20, 2, 512)); // neox (stablelm)
-        test_cases.emplace_back(new test_rope(type, { 80,  32, 10, 1},  32, 2, 512)); // neox (phi-2)
+    {
+        bool all = true;
+
+        for (float v : { 0, 1 }) {
+            for (float fs : { 1.0f, 1.4245f }) {
+                for (float ef : { 0.0f, 0.7465f }) {
+                    for (float af : { 1.0f, 1.4245f }) {
+                        for (ggml_type type : {GGML_TYPE_F32, GGML_TYPE_F16}) {
+                            for (bool ff : {false, true}) { // freq_factors
+                                test_cases.emplace_back(new test_rope(type, {128,  32, 10, 1}, 128, 0, 512, fs, ef, af, ff, v)); // llama 7B
+
+                                if (all) {
+                                    test_cases.emplace_back(new test_rope(type, {128,  40, 10, 1}, 128, 0, 512, fs, ef, af, ff, v)); // llama 13B
+                                    test_cases.emplace_back(new test_rope(type, {128,  52, 10, 1}, 128, 0, 512, fs, ef, af, ff, v)); // llama 30B
+                                    test_cases.emplace_back(new test_rope(type, {128,  64, 10, 1}, 128, 0, 512, fs, ef, af, ff, v)); // llama 65B
+                                }
+
+                                if (all) {
+                                    test_cases.emplace_back(new test_rope(type, { 64,   1, 10, 1},  64, 2, 512, fs, ef, af, ff, v)); // neox (falcon 7B)
+                                    test_cases.emplace_back(new test_rope(type, { 64,  71, 10, 1},  64, 2, 512, fs, ef, af, ff, v)); // neox (falcon 7B)
+                                    test_cases.emplace_back(new test_rope(type, { 64,   8, 10, 1},  64, 2, 512, fs, ef, af, ff, v)); // neox (falcon 40B)
+                                    test_cases.emplace_back(new test_rope(type, { 80,  32, 10, 1},  20, 2, 512, fs, ef, af, ff, v)); // neox (stablelm)
+                                    test_cases.emplace_back(new test_rope(type, { 80,  32, 10, 1},  32, 2, 512, fs, ef, af, ff, v)); // neox (phi-2)
+                                }
+
+                                test_cases.emplace_back(new test_rope(type, { 64, 128, 10, 1},  64, 2, 512, fs, ef, af, ff, v)); // neox (falcon 40B)
+                            }
+                        }
+
+                        all = false;
+                    }
+                }
+            }
+        }
     }
 
-    test_cases.emplace_back(new test_concat(GGML_TYPE_F32));
-    test_cases.emplace_back(new test_concat(GGML_TYPE_I32));
+    for (int v : { 0, 1, 2, 3 }) {
+        for (int dim : { 0, 1, 2, 3, }) {
+            test_cases.emplace_back(new test_concat(GGML_TYPE_F32, {11, 12, 13, 14}, 7, dim, v));
+            test_cases.emplace_back(new test_concat(GGML_TYPE_I32, {11, 12, 13, 14}, 7, dim, v));
+        }
+    }
 
     for (ggml_sort_order order : {GGML_SORT_ORDER_ASC, GGML_SORT_ORDER_DESC}) {
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {8, 1, 1, 1}, order));
@@ -2167,6 +2279,8 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
 
     test_cases.emplace_back(new test_sum_rows());
     test_cases.emplace_back(new test_upscale());
+    test_cases.emplace_back(new test_upscale(GGML_TYPE_F32, { 512, 512, 3, 1 }, 2, true));
+    test_cases.emplace_back(new test_upscale_ext());
     test_cases.emplace_back(new test_group_norm());
     test_cases.emplace_back(new test_acc());
     test_cases.emplace_back(new test_pad());
@@ -2175,11 +2289,16 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
     test_cases.emplace_back(new test_leaky_relu());
 
     for (int hs : { 64, 80, 128, 256, }) {
-        for (float max_bias : {0.0f, 8.0f}) {
-            for (int nh : { 32, }) {
-                for (int kv : { 512, 1024, }) {
-                    for (int nb : { 1, 2, 4, 8, }) {
-                        test_cases.emplace_back(new test_flash_attn_ext(hs, nh, kv, nb, max_bias));
+        for (bool mask : { true, false } ) {
+            for (float max_bias : { 0.0f, 8.0f }) {
+                if (!mask && max_bias > 0.0f) continue;
+                for (int nh : { 32, }) {
+                    for (int kv : { 512, 1024, }) {
+                        for (int nb : { 1, 2, 4, 8, }) {
+                            for (ggml_type type_KV : {GGML_TYPE_F16, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0}) {
+                                test_cases.emplace_back(new test_flash_attn_ext(hs, nh, kv, nb, mask, max_bias, type_KV));
+                            }
+                        }
                     }
                 }
             }
diff --git a/tests/test-chat-template.cpp b/tests/test-chat-template.cpp
index 4fe9183b9..cef9a650b 100644
--- a/tests/test-chat-template.cpp
+++ b/tests/test-chat-template.cpp
@@ -49,8 +49,14 @@ int main(void) {
         "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% elif false == true %}{% set loop_messages = messages %}{% set system_message = 'You are Command-R, a brilliant, sophisticated, AI-assistant trained to assist human users by providing thorough responses. You are trained by Cohere.' %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% if system_message != false %}{{ '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' + system_message + '<|END_OF_TURN_TOKEN|>' }}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|START_OF_TURN_TOKEN|><|USER_TOKEN|>' + content.strip() + '<|END_OF_TURN_TOKEN|>' }}{% elif message['role'] == 'assistant' %}{{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>'  + content.strip() + '<|END_OF_TURN_TOKEN|>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}{% endif %}",
         // Llama-3
         "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
-        // Phi-3
-        "{{ bos_token }}{% for message in messages %}{{'<|' + message['role'] + '|>' + ' ' + message['content'] + '<|end|> ' }}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|> ' }}{% else %}{{ eos_token }}{% endif %}"
+        //Phi-3-mini
+        "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
+        //Phi-3-small
+        "{{ bos_token }}{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
+        //Phi-3-medium
+        "{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
+        //Phi-3-vision
+        "{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}{{- '<|assistant|>\n' -}}{% endif %}"
     };
     std::vector<std::string> expected_output = {
         // teknium/OpenHermes-2.5-Mistral-7B
@@ -79,8 +85,14 @@ int main(void) {
         "<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>You are a helpful assistant<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Hello<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>Hi there<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Who are you<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>I am an assistant<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Another question<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>",
         // Llama 3
         "<|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nHello<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nHi there<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWho are you<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nI am an assistant<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nAnother question<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
-        // Phi 3
-        "<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\nI am an assistant<|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n",
+        //Phi-3-mini
+        "<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n   I am an assistant   <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n",
+        //Phi-3-small
+        "<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n   I am an assistant   <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n",
+        //Phi-3-medium
+        "<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n   I am an assistant   <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n",
+        //Phi-3-vision
+        "<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n   I am an assistant   <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n",
     };
     std::vector<char> formatted_chat(1024);
     int32_t res;
diff --git a/tests/test-grad0.cpp b/tests/test-grad0.cpp
index 8ff76c891..a35327645 100644
--- a/tests/test-grad0.cpp
+++ b/tests/test-grad0.cpp
@@ -1465,7 +1465,7 @@ int main(int argc, const char ** argv) {
                             continue;
                         }
 
-                        struct ggml_tensor * f = ggml_sum(ctx0, ggml_rope(ctx0, x[0], p, n_rot, mode, 0));
+                        struct ggml_tensor * f = ggml_sum(ctx0, ggml_rope(ctx0, x[0], p, n_rot, mode));
 
                         GGML_PRINT_DEBUG("rope f32: n_past: %d n_rot: %d mode: %d\n", n_past, n_rot, mode);
                         check_gradient("rope f32", ctx0, x, f, ndims, nargs, 1e-2f, 1e-3f, INFINITY);
@@ -1505,7 +1505,7 @@ int main(int argc, const char ** argv) {
                             continue;
                         }
 
-                        struct ggml_tensor * f = ggml_sum(ctx0, ggml_rope(ctx0, x[0], p, n_rot, mode, 0));
+                        struct ggml_tensor * f = ggml_sum(ctx0, ggml_rope(ctx0, x[0], p, n_rot, mode));
 
                         GGML_PRINT_DEBUG("rope f16: n_past: %d n_rot: %d mode: %d\n", n_past, n_rot, mode);
                         check_gradient("rope f16", ctx0, x, f, ndims, nargs, 1e-1f, 1e-1f, INFINITY);
@@ -1515,90 +1515,50 @@ int main(int argc, const char ** argv) {
         }
 
         // flash_attn f32
-        {
-            srand(seed);
-            const int nargs = 3;
+        // TODO: adapt to ggml_flash_attn_ext() changes
+        //{
+        //    srand(seed);
+        //    const int nargs = 3;
 
-            int64_t ne2[4];
+        //    int64_t ne2[4];
 
-            get_random_dims(ne2, 4);
-            int64_t D = ne2[0];
-            int64_t N = ne2[1];
-            int64_t M = ne2[2] + N;
-            int64_t B = ne2[3];
+        //    get_random_dims(ne2, 4);
+        //    int64_t D = ne2[0];
+        //    int64_t N = ne2[1];
+        //    int64_t M = ne2[2] + N;
+        //    int64_t B = ne2[3];
 
-            for (int masked = 0; masked <= 1; ++masked) {
-                for (int ndims = 2; ndims <= 4; ++ndims) {
-                    int max_nrep = (ndims >= 3) ? 2 : 1;
-                    for (int nrep = 1; nrep < max_nrep; ++nrep) {
-                        int64_t neq[4] = { D, N, B*nrep, ne[3] };
-                        int64_t nek[4] = { D, M, B, ne[3] };
-                        int64_t nev[4] = { M, D, B, ne[3] };
-                        if (ndims == 2) {
-                            neq[2] = 1; neq[3] = 1;
-                            nek[2] = 1; nek[3] = 1;
-                            nev[2] = 1; nev[3] = 1;
-                        } else if (ndims == 3) {
-                            neq[3] = 1;
-                            nek[3] = 1;
-                            nev[3] = 1;
-                        }
-                        x[0] = get_random_tensor_f32(ctx0, ndims, neq, -0.1250f, 0.1250f);
-                        x[1] = get_random_tensor_f32(ctx0, ndims, nek, -0.1250f, 0.1250f);
-                        x[2] = get_random_tensor_f32(ctx0, ndims, nev, -0.1250f, 0.1250f);
-                        ggml_set_param(ctx0, x[0]);
-                        ggml_set_param(ctx0, x[1]);
-                        ggml_set_param(ctx0, x[2]);
+        //    for (int masked = 0; masked <= 1; ++masked) {
+        //        for (int ndims = 2; ndims <= 4; ++ndims) {
+        //            int max_nrep = (ndims >= 3) ? 2 : 1;
+        //            for (int nrep = 1; nrep < max_nrep; ++nrep) {
+        //                int64_t neq[4] = { D, N, B*nrep, ne[3] };
+        //                int64_t nek[4] = { D, M, B, ne[3] };
+        //                int64_t nev[4] = { M, D, B, ne[3] };
+        //                if (ndims == 2) {
+        //                    neq[2] = 1; neq[3] = 1;
+        //                    nek[2] = 1; nek[3] = 1;
+        //                    nev[2] = 1; nev[3] = 1;
+        //                } else if (ndims == 3) {
+        //                    neq[3] = 1;
+        //                    nek[3] = 1;
+        //                    nev[3] = 1;
+        //                }
+        //                x[0] = get_random_tensor_f32(ctx0, ndims, neq, -0.1250f, 0.1250f);
+        //                x[1] = get_random_tensor_f32(ctx0, ndims, nek, -0.1250f, 0.1250f);
+        //                x[2] = get_random_tensor_f32(ctx0, ndims, nev, -0.1250f, 0.1250f);
+        //                ggml_set_param(ctx0, x[0]);
+        //                ggml_set_param(ctx0, x[1]);
+        //                ggml_set_param(ctx0, x[2]);
 
-                        struct ggml_tensor * f = ggml_sum(ctx0, ggml_flash_attn(ctx0, x[0], x[1], x[2], (masked == 0)));
+        //                struct ggml_tensor * f = ggml_sum(ctx0, ggml_flash_attn(ctx0, x[0], x[1], x[2], (masked == 0)));
 
-                        check_gradient("flash_attn f32", ctx0, x, f, ndims, nargs, 1.5e-4f, 1e-3f, INFINITY);
-                    }
-                }
-            }
-        }
+        //                check_gradient("flash_attn f32", ctx0, x, f, ndims, nargs, 1.5e-4f, 1e-3f, INFINITY);
+        //            }
+        //        }
+        //    }
+        //}
 
-        // flash_attn f16, not yet fully implemented
-        if(0)
-        {
-            srand(seed);
-            const int nargs = 3;
-
-            int64_t ne2[4];
-
-            get_random_dims(ne2, 4);
-            int64_t D = ne2[0];
-            int64_t N = ne2[1];
-            int64_t M = ne2[2] + N;
-            int64_t B = ne2[3];
-
-            for (int masked = 0; masked <= 1; ++masked) {
-                for (int ndims = 2; ndims <= 4; ++ndims) {
-                    int64_t neq[4] = { D, N, B, ne[3] };
-                    int64_t nek[4] = { D, M, B, ne[3] };
-                    int64_t nev[4] = { M, D, B, ne[3] };
-                    if (ndims == 2) {
-                        neq[2] = 1; neq[3] = 1;
-                        nek[2] = 1; nek[3] = 1;
-                        nev[2] = 1; nev[3] = 1;
-                    } else if (ndims == 3) {
-                        neq[3] = 1;
-                        nek[3] = 1;
-                        nev[3] = 1;
-                    }
-                    x[0] = get_random_tensor_f16(ctx0, ndims, neq, -0.1250f, 0.1250f);
-                    x[1] = get_random_tensor_f16(ctx0, ndims, nek, -0.1250f, 0.1250f);
-                    x[2] = get_random_tensor_f16(ctx0, ndims, nev, -0.1250f, 0.1250f);
-                    ggml_set_param(ctx0, x[0]);
-                    ggml_set_param(ctx0, x[1]);
-                    ggml_set_param(ctx0, x[2]);
-
-                    struct ggml_tensor * f = ggml_sum(ctx0, ggml_flash_attn(ctx0, x[0], x[1], x[2], (masked == 0)));
-
-                    check_gradient("flash_attn f16", ctx0, x, f, ndims, nargs, 1.5e-4f, 1e-3f, INFINITY);
-                }
-            }
-        }
         ggml_free(ctx0);
     }
 
diff --git a/tests/test-grammar-integration.cpp b/tests/test-grammar-integration.cpp
index 1a4004e2a..01c5bb27a 100644
--- a/tests/test-grammar-integration.cpp
+++ b/tests/test-grammar-integration.cpp
@@ -28,6 +28,19 @@ static llama_grammar* build_grammar(const std::string & grammar_str) {
     return grammar;
 }
 
+static bool test_build_grammar_fails(const std::string & grammar_str) {
+    fprintf(stderr, "⚫ Testing failure for grammar: %s\n", grammar_str.c_str());
+    bool grammar_fails = false;
+    try {
+        build_grammar(grammar_str);
+        fprintf(stderr, "  ❌ Expected build failure, but succeeded\n");
+    } catch (const std::exception & err) {
+        grammar_fails = true;
+        fprintf(stdout, "  ✅︎\n");
+    }
+    return grammar_fails;
+}
+
 static bool match_string(const std::string & input, llama_grammar* grammar) {
     auto decoded = decode_utf8(input, {});
 
@@ -320,6 +333,38 @@ number ::= [0-9]+)""";
     fprintf(stderr, "  ✅︎ Passed\n");
 }
 
+static void test_failure_left_recursion() {
+    fprintf(stderr, "⚫ Testing left recursion detection:\n");
+
+    // Test simple left recursion detection
+    const std::string simple_str = R"""(root ::= "a" | root "a")""";
+    assert(test_build_grammar_fails(simple_str));
+
+    // Test more complicated left recursion detection
+    const std::string medium_str = R"""(
+root ::= asdf
+asdf ::= "a" | asdf "a"
+)""";
+    assert(test_build_grammar_fails(medium_str));
+
+    // Test even more complicated left recursion detection
+    const std::string hard_str = R"""(
+root ::= asdf
+asdf ::= "a" | foo "b"
+foo ::= "c" | asdf "d" | "e")""";
+    assert(test_build_grammar_fails(hard_str));
+
+    // Test yet even more complicated left recursion detection
+    const std::string hardest_str = R"""(
+root ::= asdf
+asdf ::= "a" | foo "b"
+foo ::= "c" | empty asdf "d" | "e"
+empty ::= "blah" | )""";
+    assert(test_build_grammar_fails(hardest_str));
+
+    fprintf(stderr, "  ✅︎ Passed\n");
+}
+
 int main() {
     fprintf(stdout, "Running grammar integration tests...\n");
     test_simple_grammar();
@@ -327,6 +372,7 @@ int main() {
     test_quantifiers();
     test_failure_missing_root();
     test_failure_missing_reference();
+    test_failure_left_recursion();
     fprintf(stdout, "All tests passed.\n");
     return 0;
 }
diff --git a/tests/test-rope.cpp b/tests/test-rope.cpp
index 26c1f42dc..f0895ffaa 100644
--- a/tests/test-rope.cpp
+++ b/tests/test-rope.cpp
@@ -162,12 +162,12 @@ int main(int /*argc*/, const char ** /*argv*/) {
         x = get_random_tensor_f32(ctx0, ndims, ne, -1.0f, 1.0f);
 
         // 100, 101, 102, ..., 172
-        struct ggml_tensor * r0 = ggml_rope(ctx0, x,  p0, n_rot, mode, 1024);
+        struct ggml_tensor * r0 = ggml_rope(ctx0, x,  p0, n_rot, mode);
         // -67, -67, -67, ..., -67
-        struct ggml_tensor * r1 = ggml_rope(ctx0, r0, p1, n_rot, mode, 1024); // "context swap", i.e. forget n_past_0 - n_past_2 tokens
+        struct ggml_tensor * r1 = ggml_rope(ctx0, r0, p1, n_rot, mode); // "context swap", i.e. forget n_past_0 - n_past_2 tokens
 
         //  33,  34,  35, ..., 105
-        struct ggml_tensor * r2 = ggml_rope(ctx0, x,  p2, n_rot, mode, 1024);
+        struct ggml_tensor * r2 = ggml_rope(ctx0, x,  p2, n_rot, mode);
 
         ggml_cgraph * gf = ggml_new_graph(ctx0);
 
diff --git a/tests/test-tokenizer-0.sh b/tests/test-tokenizer-0.sh
index 2fb8632d8..4d2b83655 100755
--- a/tests/test-tokenizer-0.sh
+++ b/tests/test-tokenizer-0.sh
@@ -17,12 +17,19 @@ make -j tests/test-tokenizer-0
 
 printf "Testing %s on %s ...\n" $name $input
 
-python3 ./tests/test-tokenizer-0.py ./models/tokenizers/$name --fname-tok $input > /tmp/test-tokenizer-0-$name-py.log 2>&1
-cat /tmp/test-tokenizer-0-$name-py.log | grep "tokenized in"
+set -e
 
+printf "Tokenizing using (py)  Python AutoTokenizer ...\n"
+python3 ./tests/test-tokenizer-0.py ./models/tokenizers/$name --fname-tok $input > /tmp/test-tokenizer-0-$name-py.log 2>&1
+
+printf "Tokenizing using (cpp) llama.cpp ...\n"
 ./tests/test-tokenizer-0 ./models/ggml-vocab-$name.gguf $input > /tmp/test-tokenizer-0-$name-cpp.log 2>&1
+
+cat /tmp/test-tokenizer-0-$name-py.log | grep "tokenized in"
 cat /tmp/test-tokenizer-0-$name-cpp.log | grep "tokenized in"
 
+set +e
+
 diff $input.tok $input.tokcpp > /dev/null 2>&1
 
 if [ $? -eq 0 ]; then
diff --git a/tests/test-tokenizer-random.py b/tests/test-tokenizer-random.py
index 5b2ab8ef7..52f589511 100644
--- a/tests/test-tokenizer-random.py
+++ b/tests/test-tokenizer-random.py
@@ -1,5 +1,5 @@
 # Test libllama tokenizer == AutoTokenizer.
-# Brute force random tokens/text generation.
+# Brute force random words/text generation.
 #
 # Sample usage:
 #
@@ -12,10 +12,10 @@ import argparse
 import subprocess
 import random
 
-from typing import Iterator
+from typing import Callable, Iterator
 
 import cffi
-from transformers import AutoTokenizer, PreTrainedTokenizerBase
+from transformers import AutoTokenizer
 
 logger = logging.getLogger("test-tokenizer-random-bpe")
 
@@ -145,28 +145,69 @@ def generator_custom_text() -> Iterator[str]:
 def generator_custom_text_edge_cases() -> Iterator[str]:
     """Edge cases found while debugging"""
     yield from [
-        '\x1f-a',   # unicode_ranges_control, {0x00001C, 0x00001F}
-        '¼-a',      # unicode_ranges_digit, 0x00BC
-        '½-a',      # unicode_ranges_digit, 0x00BD
-        '¾-a',      # unicode_ranges_digit, 0x00BE
-        'a 〇b',    # unicode_ranges_digit, 0x3007
-        'Ⅵ-a',     # unicode_ranges_digit, {0x00002150, 0x0000218F} // Number Forms
-        '\uFEFF//', # unicode_ranges_control, 0xFEFF (BOM)
-        '<s>a'      # TODO: Phi-3 fail
+        '\x1f-a',     # unicode_ranges_control, {0x00001C, 0x00001F}
+        '¼-a',        # unicode_ranges_digit, 0x00BC
+        '½-a',        # unicode_ranges_digit, 0x00BD
+        '¾-a',        # unicode_ranges_digit, 0x00BE
+        'a 〇b',      # unicode_ranges_digit, 0x3007
+        'Ⅵ-a',       # unicode_ranges_digit, {0x00002150, 0x0000218F} // Number Forms
+        '\uFEFF//',   # unicode_ranges_control, 0xFEFF (BOM)
+        'Cửa Việt',   # llama-3, ignore_merges = true
+        '<s>a',       # Phi-3 fail
+        '<unk><|endoftext|><s>',  # Phi-3 fail
+        'a\na',       # TODO: Bert fail
+        'a </s> b',   # rstrip phi-3
+        'a <mask> b', # lstrip jina-v2
     ]
 
 
-def generator_random_chars(iterations = 100) -> Iterator[str]:
+def generator_vocab_words(vocab: list[str]) -> Iterator[str]:
+    """Brute force check all vocab words"""
+    yield from vocab
+
+
+def generator_added_lr_strip(tokenizer) -> Iterator[str]:
+    WHITESPACES = ["", " ", "  ", "    "]
+    special_tokens = list(tokenizer.all_special_tokens)
+    added_tokens   = list(tokenizer.added_tokens_encoder)
+    all_tokens     = list(sorted(set(special_tokens + added_tokens)))
+    for token in all_tokens:
+        for lstrip in WHITESPACES:
+            for rstrip in WHITESPACES:
+                yield lstrip + token + rstrip
+                yield "a" + lstrip + token + rstrip
+                yield lstrip + token + rstrip + "z"
+                yield "a" + lstrip + token + rstrip + "z"
+
+
+def generator_random_added_tokens(tokenizer, iterations=100) -> Iterator[str]:
+    special_tokens = list(tokenizer.all_special_tokens)
+    added_tokens   = list(tokenizer.added_tokens_encoder)
+    separations    = [" ", "\n", "\t", "-", "!", "one", "1", "<s>", "</s>"]
+    all_tokens     = list(sorted(set(special_tokens + added_tokens + separations)))
+    rand = random.Random()
+    for m in range(iterations):
+        rand.seed(m)
+        words = rand.choices(all_tokens, k=500)
+        if words[0] == tokenizer.bos_token:  # skip spam warning of double BOS
+            while len(words) > 1 and words[1] == tokenizer.bos_token:  # leave one starting BOS
+                words.pop(0)
+            if tokenizer.add_bos_token:  # drop all starting BOS
+                words.pop(0)
+        yield "".join(words)
+
+
+def generator_random_chars(iterations=100) -> Iterator[str]:
     """Brute force random text with simple characters"""
 
     WHITESPACES = list(" " * 20 + "\n" * 5 + "\r\n" * 5 + "\t" * 5)
-    CHARS = list(set("""
+    CHARS = list(sorted(set("""
         ABCDEFGHIJKLMNOPQRSTUVWXYZ
         abcdefghijklmnopqrstuvwxyz
         ÁÉÍÓÚÀÈÌÒÙÂÊÎÔÛÄËÏÖÜ
         áéíóúàèìòùâêîôûäëïöü
         .-,*/-+ª!"·$%&/()=?¿[]{}<>\\|@#~½¬~;:_
-    """))
+    """)))
 
     rand = random.Random()
     for m in range(iterations):
@@ -181,13 +222,13 @@ def generator_random_chars(iterations = 100) -> Iterator[str]:
         yield "".join(text)
 
 
-def generator_random_vocab_chars(tokenizer: PreTrainedTokenizerBase, iterations = 100) -> Iterator[str]:
+def generator_random_vocab_chars(vocab: list[str], iterations=100) -> Iterator[str]:
     """Brute force random text with vocab characters"""
 
-    vocab_ids = list(tokenizer.vocab.values())
-    vocab_text = tokenizer.decode(vocab_ids, skip_special_tokens=True)
-    vocab_chars = list(set(vocab_text))
-    del vocab_ids, vocab_text
+    vocab_chars = set()
+    for word in vocab:
+        vocab_chars.update(word)
+    vocab_chars = list(sorted(vocab_chars))
 
     rand = random.Random()
     for m in range(iterations):
@@ -196,19 +237,11 @@ def generator_random_vocab_chars(tokenizer: PreTrainedTokenizerBase, iterations
         yield "".join(text)
 
 
-def generator_random_vocab_tokens(tokenizer: PreTrainedTokenizerBase, iterations = 100) -> Iterator[str]:
-    """Brute force random text from vocab tokens"""
+def generator_random_vocab_words(vocab: list[str], iterations=100) -> Iterator[str]:
+    """Brute force random text from vocab words"""
 
-    space_id = tokenizer.encode(" ", add_special_tokens=False)[0]
-    vocab_ids = list(tokenizer.vocab.values())
-    vocab_ids = list(sorted(vocab_ids + vocab_ids))
-    for i in range(1, len(vocab_ids), 2):
-        vocab_ids[i] = space_id
-    vocab_tokens = tokenizer.decode(vocab_ids, skip_special_tokens=True)
-    vocab_tokens = vocab_tokens.split(" ")
-    del vocab_ids
-
-    yield from vocab_tokens
+    vocab = [w.strip() for w in vocab]
+    yield from vocab
 
     rand = random.Random()
     for m in range(iterations):
@@ -217,14 +250,13 @@ def generator_random_vocab_tokens(tokenizer: PreTrainedTokenizerBase, iterations
         num_words = rand.randint(300, 400)
         for i in range(num_words):
             k = rand.randint(1, 3)
-            tokens = rand.choices(vocab_tokens, k=k)
-            tokens = [t.strip(" \n\r\t") for t in tokens]
+            words = rand.choices(vocab, k=k)
             sep = rand.choice("     \n\r\t")
-            text.append("".join(tokens) + sep)
+            text.append("".join(words) + sep)
         yield "".join(text)
 
 
-def generator_random_bytes(iterations = 100) -> Iterator[str]:
+def generator_random_bytes(iterations=100) -> Iterator[str]:
     """Brute force random bytes"""
 
     WHITESPACES = list(" " * 20 + "\n" * 5 + "\r\n" * 5 + "\t" * 5)
@@ -242,10 +274,10 @@ def generator_random_bytes(iterations = 100) -> Iterator[str]:
         yield "".join(text)
 
 
-def test_compare_tokenizer(model: LibLlamaModel, tokenizer: PreTrainedTokenizerBase, generator: Iterator[str]):
+def test_compare_tokenizer(func_tokenize1: Callable, func_tokenize2: Callable, generator: Iterator[str]):
 
     def find_first_mismatch(ids1: list[int], ids2: list[int]):
-        for i, (a,b) in enumerate(zip(ids1, ids2)):
+        for i, (a, b) in enumerate(zip(ids1, ids2)):
             if a != b:
                 return i
         if len(ids1) == len(ids2):
@@ -255,15 +287,12 @@ def test_compare_tokenizer(model: LibLlamaModel, tokenizer: PreTrainedTokenizerB
     t0 = time.perf_counter()
     logger.info("%s: %s" % (generator.__name__, "ini"))
     for text in generator:
-        ids1 = model.tokenize(text, add_special=False, parse_special=False)
-        ids2 = tokenizer.encode(text, add_special_tokens=False)
+        ids1 = func_tokenize1(text)
+        ids2 = func_tokenize2(text)
         if ids1 != ids2:
             i = find_first_mismatch(ids1, ids2)
-            ids1 = list(ids1)[max(0, i - 2) : i + 2 + 1]
-            ids2 = list(ids2)[max(0, i - 2) : i + 2 + 1]
-            text2 = tokenizer.decode(ids2, skip_special_tokens=True)
-            assert (text2 in text)
-            logger.info(" Text:     " + repr(text2))
+            ids1 = list(ids1)[max(0, i - 2) : i + 5 + 1]
+            ids2 = list(ids2)[max(0, i - 2) : i + 5 + 1]
             logger.info(" TokenIDs: " + str(ids1))
             logger.info(" Expected: " + str(ids2))
             raise Exception()
@@ -271,25 +300,60 @@ def test_compare_tokenizer(model: LibLlamaModel, tokenizer: PreTrainedTokenizerB
     logger.info("%s: end, time: %.3f secs" % (generator.__name__, t1 - t0))
 
 
-if __name__ == "__main__":
-
+def main(argv: list[str] = None):
     parser = argparse.ArgumentParser()
     parser.add_argument("vocab_file", help="path to vocab 'gguf' file")
     parser.add_argument("dir_tokenizer", help="directory containing 'tokenizer.model' file")
     parser.add_argument("--verbose", action="store_true", help="increase output verbosity")
-    args = parser.parse_args()
+    args = parser.parse_args(argv)
 
     logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
 
-    model = LibLlamaModel(LibLlama(), args.vocab_file, mparams=dict(vocab_only=True), cparams=dict(n_ctx=2048))
-
+    model = LibLlamaModel(LibLlama(), args.vocab_file, mparams=dict(vocab_only=True), cparams=dict(n_ctx=4096))
     tokenizer = AutoTokenizer.from_pretrained(args.dir_tokenizer)
 
-    test_compare_tokenizer(model, tokenizer, generator_custom_text())
-    test_compare_tokenizer(model, tokenizer, generator_custom_text_edge_cases())
-    test_compare_tokenizer(model, tokenizer, generator_random_chars(10_000))
-    test_compare_tokenizer(model, tokenizer, generator_random_vocab_chars(tokenizer, 10_000))
-    test_compare_tokenizer(model, tokenizer, generator_random_vocab_tokens(tokenizer, 10_000))
-    # test_compare_tokenizer(model, tokenizer, generator_random_bytes(10_000)) # FAIL
+    def func_tokenize1(text: str):
+        return model.tokenize(text, add_special=True, parse_special=True)
+
+    def func_tokenize2(text: str):
+        return tokenizer.encode(text, add_special_tokens=True)
+
+    ids = func_tokenize2("a")
+    assert 1 <= len(ids) <= 3
+    add_bos_token = len(ids) > 1 and tokenizer.bos_token_id == ids[0]
+    tokenizer.add_bos_token = getattr(tokenizer, "add_bos_token", add_bos_token)
+
+    vocab = list(sorted(tokenizer.batch_decode(list(tokenizer.get_vocab().values()), skip_special_tokens=True)))
+    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_custom_text())
+    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_custom_text_edge_cases())
+    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_vocab_words(vocab))
+    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_added_lr_strip(tokenizer))
+    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_added_tokens(tokenizer, 10_000))
+    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_chars(10_000))
+    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_vocab_chars(vocab, 10_000))
+    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_vocab_words(vocab, 5_000))
+    # test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_bytes(10_000)) # FAIL
 
     model.free()
+
+
+if __name__ == "__main__":
+    # main()
+
+    path_tokenizers   = "./models/tokenizers/"
+    path_vocab_format = "./models/ggml-vocab-%s.gguf"
+
+    # import os
+    # tokenizers = os.listdir(path_tokenizers)
+    tokenizers = [
+        "llama-spm",   # SPM
+        "phi-3",       # SPM
+        "jina-v2-en",  # WPM
+        "bert-bge",    # WPM
+    ]
+
+    for tokenizer in tokenizers:
+        print("\n" + "=" * 50 + "\n" + tokenizer + "\n")  # noqa
+        vocab_file = path_vocab_format % tokenizer
+        dir_tokenizer = path_tokenizers + "/" + tokenizer
+        main([vocab_file, dir_tokenizer, "--verbose"])
diff --git a/unicode-data.cpp b/unicode-data.cpp
index c54175fc3..d7c1c898d 100644
--- a/unicode-data.cpp
+++ b/unicode-data.cpp
@@ -1,2183 +1,6983 @@
-#include "unicode-data.h"
+// generated with scripts/gen-unicode-data.py
+
+#include "unicode-data.h"
 
 #include <cstdint>
-#include <map>
-#include <utility>
 #include <vector>
+#include <unordered_map>
+#include <unordered_set>
 
-// generated with scripts/gen-unicode-data.py
-//
-// TODO: generate unicode_map_nfd
-
-const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_number = {
-{0x00000030, 0x00000039}, {0x000000B2, 0x000000B3}, {0x000000B9, 0x000000B9}, {0x000000BC, 0x000000BE},
-{0x00000660, 0x00000669}, {0x000006F0, 0x000006F9}, {0x000007C0, 0x000007C9}, {0x00000966, 0x0000096F},
-{0x000009E6, 0x000009EF}, {0x000009F4, 0x000009F9}, {0x00000A66, 0x00000A6F}, {0x00000AE6, 0x00000AEF},
-{0x00000B66, 0x00000B6F}, {0x00000B72, 0x00000B77}, {0x00000BE6, 0x00000BF2}, {0x00000C66, 0x00000C6F},
-{0x00000C78, 0x00000C7E}, {0x00000CE6, 0x00000CEF}, {0x00000D58, 0x00000D5E}, {0x00000D66, 0x00000D78},
-{0x00000DE6, 0x00000DEF}, {0x00000E50, 0x00000E59}, {0x00000ED0, 0x00000ED9}, {0x00000F20, 0x00000F33},
-{0x00001040, 0x00001049}, {0x00001090, 0x00001099}, {0x00001369, 0x0000137C}, {0x000016EE, 0x000016F0},
-{0x000017E0, 0x000017E9}, {0x000017F0, 0x000017F9}, {0x00001810, 0x00001819}, {0x00001946, 0x0000194F},
-{0x000019D0, 0x000019DA}, {0x00001A80, 0x00001A89}, {0x00001A90, 0x00001A99}, {0x00001B50, 0x00001B59},
-{0x00001BB0, 0x00001BB9}, {0x00001C40, 0x00001C49}, {0x00001C50, 0x00001C59}, {0x00002070, 0x00002070},
-{0x00002074, 0x00002079}, {0x00002080, 0x00002089}, {0x00002150, 0x00002182}, {0x00002185, 0x00002189},
-{0x00002460, 0x0000249B}, {0x000024EA, 0x000024FF}, {0x00002776, 0x00002793}, {0x00002CFD, 0x00002CFD},
-{0x00003007, 0x00003007}, {0x00003021, 0x00003029}, {0x00003038, 0x0000303A}, {0x00003192, 0x00003195},
-{0x00003220, 0x00003229}, {0x00003248, 0x0000324F}, {0x00003251, 0x0000325F}, {0x00003280, 0x00003289},
-{0x000032B1, 0x000032BF}, {0x0000A620, 0x0000A629}, {0x0000A6E6, 0x0000A6EF}, {0x0000A830, 0x0000A835},
-{0x0000A8D0, 0x0000A8D9}, {0x0000A900, 0x0000A909}, {0x0000A9D0, 0x0000A9D9}, {0x0000A9F0, 0x0000A9F9},
-{0x0000AA50, 0x0000AA59}, {0x0000ABF0, 0x0000ABF9}, {0x0000FF10, 0x0000FF19}, {0x00010107, 0x00010133},
-{0x00010140, 0x00010178}, {0x0001018A, 0x0001018B}, {0x000102E1, 0x000102FB}, {0x00010320, 0x00010323},
-{0x00010341, 0x00010341}, {0x0001034A, 0x0001034A}, {0x000103D1, 0x000103D5}, {0x000104A0, 0x000104A9},
-{0x00010858, 0x0001085F}, {0x00010879, 0x0001087F}, {0x000108A7, 0x000108AF}, {0x000108FB, 0x000108FF},
-{0x00010916, 0x0001091B}, {0x000109BC, 0x000109BD}, {0x000109C0, 0x000109CF}, {0x000109D2, 0x000109FF},
-{0x00010A40, 0x00010A48}, {0x00010A7D, 0x00010A7E}, {0x00010A9D, 0x00010A9F}, {0x00010AEB, 0x00010AEF},
-{0x00010B58, 0x00010B5F}, {0x00010B78, 0x00010B7F}, {0x00010BA9, 0x00010BAF}, {0x00010CFA, 0x00010CFF},
-{0x00010D30, 0x00010D39}, {0x00010E60, 0x00010E7E}, {0x00010F1D, 0x00010F26}, {0x00010F51, 0x00010F54},
-{0x00010FC5, 0x00010FCB}, {0x00011052, 0x0001106F}, {0x000110F0, 0x000110F9}, {0x00011136, 0x0001113F},
-{0x000111D0, 0x000111D9}, {0x000111E1, 0x000111F4}, {0x000112F0, 0x000112F9}, {0x00011450, 0x00011459},
-{0x000114D0, 0x000114D9}, {0x00011650, 0x00011659}, {0x000116C0, 0x000116C9}, {0x00011730, 0x0001173B},
-{0x000118E0, 0x000118F2}, {0x00011950, 0x00011959}, {0x00011C50, 0x00011C6C}, {0x00011D50, 0x00011D59},
-{0x00011DA0, 0x00011DA9}, {0x00011F50, 0x00011F59}, {0x00011FC0, 0x00011FD4}, {0x00012400, 0x0001246E},
-{0x00016A60, 0x00016A69}, {0x00016AC0, 0x00016AC9}, {0x00016B50, 0x00016B59}, {0x00016B5B, 0x00016B61},
-{0x00016E80, 0x00016E96}, {0x0001D2C0, 0x0001D2D3}, {0x0001D2E0, 0x0001D2F3}, {0x0001D360, 0x0001D378},
-{0x0001D7CE, 0x0001D7FF}, {0x0001E140, 0x0001E149}, {0x0001E2F0, 0x0001E2F9}, {0x0001E4F0, 0x0001E4F9},
-{0x0001E8C7, 0x0001E8CF}, {0x0001E950, 0x0001E959}, {0x0001EC71, 0x0001ECAB}, {0x0001ECAD, 0x0001ECAF},
-{0x0001ECB1, 0x0001ECB4}, {0x0001ED01, 0x0001ED2D}, {0x0001ED2F, 0x0001ED3D}, {0x0001F100, 0x0001F10C},
-{0x0001FBF0, 0x0001FBF9},
+const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // start, flags // last=next_start-1
+{0x000000, 0x0080},
+{0x000020, 0x0008},
+{0x000021, 0x0020},
+{0x000024, 0x0040},
+{0x000025, 0x0020},
+{0x00002B, 0x0040},
+{0x00002C, 0x0020},
+{0x000030, 0x0002},
+{0x00003A, 0x0020},
+{0x00003C, 0x0040},
+{0x00003F, 0x0020},
+{0x000041, 0x0004},
+{0x00005B, 0x0020},
+{0x00005E, 0x0040},
+{0x00005F, 0x0020},
+{0x000060, 0x0040},
+{0x000061, 0x0004},
+{0x00007B, 0x0020},
+{0x00007C, 0x0040},
+{0x00007D, 0x0020},
+{0x00007E, 0x0040},
+{0x00007F, 0x0080},
+{0x0000A0, 0x0008},
+{0x0000A1, 0x0020},
+{0x0000A2, 0x0040},
+{0x0000A7, 0x0020},
+{0x0000A8, 0x0040},
+{0x0000AA, 0x0004},
+{0x0000AB, 0x0020},
+{0x0000AC, 0x0040},
+{0x0000AD, 0x0080},
+{0x0000AE, 0x0040},
+{0x0000B2, 0x0002},
+{0x0000B4, 0x0040},
+{0x0000B5, 0x0004},
+{0x0000B6, 0x0020},
+{0x0000B8, 0x0040},
+{0x0000B9, 0x0002},
+{0x0000BA, 0x0004},
+{0x0000BB, 0x0020},
+{0x0000BC, 0x0002},
+{0x0000BF, 0x0020},
+{0x0000C0, 0x0004},
+{0x0000D7, 0x0040},
+{0x0000D8, 0x0004},
+{0x0000F7, 0x0040},
+{0x0000F8, 0x0004},
+{0x0002C2, 0x0040},
+{0x0002C6, 0x0004},
+{0x0002D2, 0x0040},
+{0x0002E0, 0x0004},
+{0x0002E5, 0x0040},
+{0x0002EC, 0x0004},
+{0x0002ED, 0x0040},
+{0x0002EE, 0x0004},
+{0x0002EF, 0x0040},
+{0x000300, 0x0010},
+{0x000370, 0x0004},
+{0x000375, 0x0040},
+{0x000376, 0x0004},
+{0x000378, 0x0080},
+{0x00037A, 0x0004},
+{0x00037E, 0x0020},
+{0x00037F, 0x0004},
+{0x000380, 0x0080},
+{0x000384, 0x0040},
+{0x000386, 0x0004},
+{0x000387, 0x0020},
+{0x000388, 0x0004},
+{0x00038B, 0x0080},
+{0x00038C, 0x0004},
+{0x00038D, 0x0080},
+{0x00038E, 0x0004},
+{0x0003A2, 0x0080},
+{0x0003A3, 0x0004},
+{0x0003F6, 0x0040},
+{0x0003F7, 0x0004},
+{0x000482, 0x0040},
+{0x000483, 0x0010},
+{0x00048A, 0x0004},
+{0x000530, 0x0080},
+{0x000531, 0x0004},
+{0x000557, 0x0080},
+{0x000559, 0x0004},
+{0x00055A, 0x0020},
+{0x000560, 0x0004},
+{0x000589, 0x0020},
+{0x00058B, 0x0080},
+{0x00058D, 0x0040},
+{0x000590, 0x0080},
+{0x000591, 0x0010},
+{0x0005BE, 0x0020},
+{0x0005BF, 0x0010},
+{0x0005C0, 0x0020},
+{0x0005C1, 0x0010},
+{0x0005C3, 0x0020},
+{0x0005C4, 0x0010},
+{0x0005C6, 0x0020},
+{0x0005C7, 0x0010},
+{0x0005C8, 0x0080},
+{0x0005D0, 0x0004},
+{0x0005EB, 0x0080},
+{0x0005EF, 0x0004},
+{0x0005F3, 0x0020},
+{0x0005F5, 0x0080},
+{0x000606, 0x0040},
+{0x000609, 0x0020},
+{0x00060B, 0x0040},
+{0x00060C, 0x0020},
+{0x00060E, 0x0040},
+{0x000610, 0x0010},
+{0x00061B, 0x0020},
+{0x00061C, 0x0080},
+{0x00061D, 0x0020},
+{0x000620, 0x0004},
+{0x00064B, 0x0010},
+{0x000660, 0x0002},
+{0x00066A, 0x0020},
+{0x00066E, 0x0004},
+{0x000670, 0x0010},
+{0x000671, 0x0004},
+{0x0006D4, 0x0020},
+{0x0006D5, 0x0004},
+{0x0006D6, 0x0010},
+{0x0006DD, 0x0080},
+{0x0006DE, 0x0040},
+{0x0006DF, 0x0010},
+{0x0006E5, 0x0004},
+{0x0006E7, 0x0010},
+{0x0006E9, 0x0040},
+{0x0006EA, 0x0010},
+{0x0006EE, 0x0004},
+{0x0006F0, 0x0002},
+{0x0006FA, 0x0004},
+{0x0006FD, 0x0040},
+{0x0006FF, 0x0004},
+{0x000700, 0x0020},
+{0x00070E, 0x0080},
+{0x000710, 0x0004},
+{0x000711, 0x0010},
+{0x000712, 0x0004},
+{0x000730, 0x0010},
+{0x00074B, 0x0080},
+{0x00074D, 0x0004},
+{0x0007A6, 0x0010},
+{0x0007B1, 0x0004},
+{0x0007B2, 0x0080},
+{0x0007C0, 0x0002},
+{0x0007CA, 0x0004},
+{0x0007EB, 0x0010},
+{0x0007F4, 0x0004},
+{0x0007F6, 0x0040},
+{0x0007F7, 0x0020},
+{0x0007FA, 0x0004},
+{0x0007FB, 0x0080},
+{0x0007FD, 0x0010},
+{0x0007FE, 0x0040},
+{0x000800, 0x0004},
+{0x000816, 0x0010},
+{0x00081A, 0x0004},
+{0x00081B, 0x0010},
+{0x000824, 0x0004},
+{0x000825, 0x0010},
+{0x000828, 0x0004},
+{0x000829, 0x0010},
+{0x00082E, 0x0080},
+{0x000830, 0x0020},
+{0x00083F, 0x0080},
+{0x000840, 0x0004},
+{0x000859, 0x0010},
+{0x00085C, 0x0080},
+{0x00085E, 0x0020},
+{0x00085F, 0x0080},
+{0x000860, 0x0004},
+{0x00086B, 0x0080},
+{0x000870, 0x0004},
+{0x000888, 0x0040},
+{0x000889, 0x0004},
+{0x00088F, 0x0080},
+{0x000898, 0x0010},
+{0x0008A0, 0x0004},
+{0x0008CA, 0x0010},
+{0x0008E2, 0x0080},
+{0x0008E3, 0x0010},
+{0x000904, 0x0004},
+{0x00093A, 0x0010},
+{0x00093D, 0x0004},
+{0x00093E, 0x0010},
+{0x000950, 0x0004},
+{0x000951, 0x0010},
+{0x000958, 0x0004},
+{0x000962, 0x0010},
+{0x000964, 0x0020},
+{0x000966, 0x0002},
+{0x000970, 0x0020},
+{0x000971, 0x0004},
+{0x000981, 0x0010},
+{0x000984, 0x0080},
+{0x000985, 0x0004},
+{0x00098D, 0x0080},
+{0x00098F, 0x0004},
+{0x000991, 0x0080},
+{0x000993, 0x0004},
+{0x0009A9, 0x0080},
+{0x0009AA, 0x0004},
+{0x0009B1, 0x0080},
+{0x0009B2, 0x0004},
+{0x0009B3, 0x0080},
+{0x0009B6, 0x0004},
+{0x0009BA, 0x0080},
+{0x0009BC, 0x0010},
+{0x0009BD, 0x0004},
+{0x0009BE, 0x0010},
+{0x0009C5, 0x0080},
+{0x0009C7, 0x0010},
+{0x0009C9, 0x0080},
+{0x0009CB, 0x0010},
+{0x0009CE, 0x0004},
+{0x0009CF, 0x0080},
+{0x0009D7, 0x0010},
+{0x0009D8, 0x0080},
+{0x0009DC, 0x0004},
+{0x0009DE, 0x0080},
+{0x0009DF, 0x0004},
+{0x0009E2, 0x0010},
+{0x0009E4, 0x0080},
+{0x0009E6, 0x0002},
+{0x0009F0, 0x0004},
+{0x0009F2, 0x0040},
+{0x0009F4, 0x0002},
+{0x0009FA, 0x0040},
+{0x0009FC, 0x0004},
+{0x0009FD, 0x0020},
+{0x0009FE, 0x0010},
+{0x0009FF, 0x0080},
+{0x000A01, 0x0010},
+{0x000A04, 0x0080},
+{0x000A05, 0x0004},
+{0x000A0B, 0x0080},
+{0x000A0F, 0x0004},
+{0x000A11, 0x0080},
+{0x000A13, 0x0004},
+{0x000A29, 0x0080},
+{0x000A2A, 0x0004},
+{0x000A31, 0x0080},
+{0x000A32, 0x0004},
+{0x000A34, 0x0080},
+{0x000A35, 0x0004},
+{0x000A37, 0x0080},
+{0x000A38, 0x0004},
+{0x000A3A, 0x0080},
+{0x000A3C, 0x0010},
+{0x000A3D, 0x0080},
+{0x000A3E, 0x0010},
+{0x000A43, 0x0080},
+{0x000A47, 0x0010},
+{0x000A49, 0x0080},
+{0x000A4B, 0x0010},
+{0x000A4E, 0x0080},
+{0x000A51, 0x0010},
+{0x000A52, 0x0080},
+{0x000A59, 0x0004},
+{0x000A5D, 0x0080},
+{0x000A5E, 0x0004},
+{0x000A5F, 0x0080},
+{0x000A66, 0x0002},
+{0x000A70, 0x0010},
+{0x000A72, 0x0004},
+{0x000A75, 0x0010},
+{0x000A76, 0x0020},
+{0x000A77, 0x0080},
+{0x000A81, 0x0010},
+{0x000A84, 0x0080},
+{0x000A85, 0x0004},
+{0x000A8E, 0x0080},
+{0x000A8F, 0x0004},
+{0x000A92, 0x0080},
+{0x000A93, 0x0004},
+{0x000AA9, 0x0080},
+{0x000AAA, 0x0004},
+{0x000AB1, 0x0080},
+{0x000AB2, 0x0004},
+{0x000AB4, 0x0080},
+{0x000AB5, 0x0004},
+{0x000ABA, 0x0080},
+{0x000ABC, 0x0010},
+{0x000ABD, 0x0004},
+{0x000ABE, 0x0010},
+{0x000AC6, 0x0080},
+{0x000AC7, 0x0010},
+{0x000ACA, 0x0080},
+{0x000ACB, 0x0010},
+{0x000ACE, 0x0080},
+{0x000AD0, 0x0004},
+{0x000AD1, 0x0080},
+{0x000AE0, 0x0004},
+{0x000AE2, 0x0010},
+{0x000AE4, 0x0080},
+{0x000AE6, 0x0002},
+{0x000AF0, 0x0020},
+{0x000AF1, 0x0040},
+{0x000AF2, 0x0080},
+{0x000AF9, 0x0004},
+{0x000AFA, 0x0010},
+{0x000B00, 0x0080},
+{0x000B01, 0x0010},
+{0x000B04, 0x0080},
+{0x000B05, 0x0004},
+{0x000B0D, 0x0080},
+{0x000B0F, 0x0004},
+{0x000B11, 0x0080},
+{0x000B13, 0x0004},
+{0x000B29, 0x0080},
+{0x000B2A, 0x0004},
+{0x000B31, 0x0080},
+{0x000B32, 0x0004},
+{0x000B34, 0x0080},
+{0x000B35, 0x0004},
+{0x000B3A, 0x0080},
+{0x000B3C, 0x0010},
+{0x000B3D, 0x0004},
+{0x000B3E, 0x0010},
+{0x000B45, 0x0080},
+{0x000B47, 0x0010},
+{0x000B49, 0x0080},
+{0x000B4B, 0x0010},
+{0x000B4E, 0x0080},
+{0x000B55, 0x0010},
+{0x000B58, 0x0080},
+{0x000B5C, 0x0004},
+{0x000B5E, 0x0080},
+{0x000B5F, 0x0004},
+{0x000B62, 0x0010},
+{0x000B64, 0x0080},
+{0x000B66, 0x0002},
+{0x000B70, 0x0040},
+{0x000B71, 0x0004},
+{0x000B72, 0x0002},
+{0x000B78, 0x0080},
+{0x000B82, 0x0010},
+{0x000B83, 0x0004},
+{0x000B84, 0x0080},
+{0x000B85, 0x0004},
+{0x000B8B, 0x0080},
+{0x000B8E, 0x0004},
+{0x000B91, 0x0080},
+{0x000B92, 0x0004},
+{0x000B96, 0x0080},
+{0x000B99, 0x0004},
+{0x000B9B, 0x0080},
+{0x000B9C, 0x0004},
+{0x000B9D, 0x0080},
+{0x000B9E, 0x0004},
+{0x000BA0, 0x0080},
+{0x000BA3, 0x0004},
+{0x000BA5, 0x0080},
+{0x000BA8, 0x0004},
+{0x000BAB, 0x0080},
+{0x000BAE, 0x0004},
+{0x000BBA, 0x0080},
+{0x000BBE, 0x0010},
+{0x000BC3, 0x0080},
+{0x000BC6, 0x0010},
+{0x000BC9, 0x0080},
+{0x000BCA, 0x0010},
+{0x000BCE, 0x0080},
+{0x000BD0, 0x0004},
+{0x000BD1, 0x0080},
+{0x000BD7, 0x0010},
+{0x000BD8, 0x0080},
+{0x000BE6, 0x0002},
+{0x000BF3, 0x0040},
+{0x000BFB, 0x0080},
+{0x000C00, 0x0010},
+{0x000C05, 0x0004},
+{0x000C0D, 0x0080},
+{0x000C0E, 0x0004},
+{0x000C11, 0x0080},
+{0x000C12, 0x0004},
+{0x000C29, 0x0080},
+{0x000C2A, 0x0004},
+{0x000C3A, 0x0080},
+{0x000C3C, 0x0010},
+{0x000C3D, 0x0004},
+{0x000C3E, 0x0010},
+{0x000C45, 0x0080},
+{0x000C46, 0x0010},
+{0x000C49, 0x0080},
+{0x000C4A, 0x0010},
+{0x000C4E, 0x0080},
+{0x000C55, 0x0010},
+{0x000C57, 0x0080},
+{0x000C58, 0x0004},
+{0x000C5B, 0x0080},
+{0x000C5D, 0x0004},
+{0x000C5E, 0x0080},
+{0x000C60, 0x0004},
+{0x000C62, 0x0010},
+{0x000C64, 0x0080},
+{0x000C66, 0x0002},
+{0x000C70, 0x0080},
+{0x000C77, 0x0020},
+{0x000C78, 0x0002},
+{0x000C7F, 0x0040},
+{0x000C80, 0x0004},
+{0x000C81, 0x0010},
+{0x000C84, 0x0020},
+{0x000C85, 0x0004},
+{0x000C8D, 0x0080},
+{0x000C8E, 0x0004},
+{0x000C91, 0x0080},
+{0x000C92, 0x0004},
+{0x000CA9, 0x0080},
+{0x000CAA, 0x0004},
+{0x000CB4, 0x0080},
+{0x000CB5, 0x0004},
+{0x000CBA, 0x0080},
+{0x000CBC, 0x0010},
+{0x000CBD, 0x0004},
+{0x000CBE, 0x0010},
+{0x000CC5, 0x0080},
+{0x000CC6, 0x0010},
+{0x000CC9, 0x0080},
+{0x000CCA, 0x0010},
+{0x000CCE, 0x0080},
+{0x000CD5, 0x0010},
+{0x000CD7, 0x0080},
+{0x000CDD, 0x0004},
+{0x000CDF, 0x0080},
+{0x000CE0, 0x0004},
+{0x000CE2, 0x0010},
+{0x000CE4, 0x0080},
+{0x000CE6, 0x0002},
+{0x000CF0, 0x0080},
+{0x000CF1, 0x0004},
+{0x000CF3, 0x0010},
+{0x000CF4, 0x0080},
+{0x000D00, 0x0010},
+{0x000D04, 0x0004},
+{0x000D0D, 0x0080},
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+{0x01F0C1, 0x0040},
+{0x01F0D0, 0x0080},
+{0x01F0D1, 0x0040},
+{0x01F0F6, 0x0080},
+{0x01F100, 0x0002},
+{0x01F10D, 0x0040},
+{0x01F1AE, 0x0080},
+{0x01F1E6, 0x0040},
+{0x01F203, 0x0080},
+{0x01F210, 0x0040},
+{0x01F23C, 0x0080},
+{0x01F240, 0x0040},
+{0x01F249, 0x0080},
+{0x01F250, 0x0040},
+{0x01F252, 0x0080},
+{0x01F260, 0x0040},
+{0x01F266, 0x0080},
+{0x01F300, 0x0040},
+{0x01F6D8, 0x0080},
+{0x01F6DC, 0x0040},
+{0x01F6ED, 0x0080},
+{0x01F6F0, 0x0040},
+{0x01F6FD, 0x0080},
+{0x01F700, 0x0040},
+{0x01F777, 0x0080},
+{0x01F77B, 0x0040},
+{0x01F7DA, 0x0080},
+{0x01F7E0, 0x0040},
+{0x01F7EC, 0x0080},
+{0x01F7F0, 0x0040},
+{0x01F7F1, 0x0080},
+{0x01F800, 0x0040},
+{0x01F80C, 0x0080},
+{0x01F810, 0x0040},
+{0x01F848, 0x0080},
+{0x01F850, 0x0040},
+{0x01F85A, 0x0080},
+{0x01F860, 0x0040},
+{0x01F888, 0x0080},
+{0x01F890, 0x0040},
+{0x01F8AE, 0x0080},
+{0x01F8B0, 0x0040},
+{0x01F8B2, 0x0080},
+{0x01F900, 0x0040},
+{0x01FA54, 0x0080},
+{0x01FA60, 0x0040},
+{0x01FA6E, 0x0080},
+{0x01FA70, 0x0040},
+{0x01FA7D, 0x0080},
+{0x01FA80, 0x0040},
+{0x01FA89, 0x0080},
+{0x01FA90, 0x0040},
+{0x01FABE, 0x0080},
+{0x01FABF, 0x0040},
+{0x01FAC6, 0x0080},
+{0x01FACE, 0x0040},
+{0x01FADC, 0x0080},
+{0x01FAE0, 0x0040},
+{0x01FAE9, 0x0080},
+{0x01FAF0, 0x0040},
+{0x01FAF9, 0x0080},
+{0x01FB00, 0x0040},
+{0x01FB93, 0x0080},
+{0x01FB94, 0x0040},
+{0x01FBCB, 0x0080},
+{0x01FBF0, 0x0002},
+{0x01FBFA, 0x0080},
+{0x020000, 0x0004},
+{0x02A6E0, 0x0080},
+{0x02A700, 0x0004},
+{0x02B73A, 0x0080},
+{0x02B740, 0x0004},
+{0x02B81E, 0x0080},
+{0x02B820, 0x0004},
+{0x02CEA2, 0x0080},
+{0x02CEB0, 0x0004},
+{0x02EBE1, 0x0080},
+{0x02EBF0, 0x0004},
+{0x02EE5E, 0x0080},
+{0x02F800, 0x0004},
+{0x02FA1E, 0x0080},
+{0x030000, 0x0004},
+{0x03134B, 0x0080},
+{0x031350, 0x0004},
+{0x0323B0, 0x0080},
+{0x0E0100, 0x0010},
+{0x0E01F0, 0x0080},
+{0x110000, 0x0000},
 };
 
-const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_letter = {
-{0x00000041, 0x0000005A}, {0x00000061, 0x0000007A}, {0x000000AA, 0x000000AA}, {0x000000B5, 0x000000B5},
-{0x000000BA, 0x000000BA}, {0x000000C0, 0x000000D6}, {0x000000D8, 0x000000F6}, {0x000000F8, 0x000002C1},
-{0x000002C6, 0x000002D1}, {0x000002E0, 0x000002E4}, {0x000002EC, 0x000002EC}, {0x000002EE, 0x000002EE},
-{0x00000370, 0x00000374}, {0x00000376, 0x00000377}, {0x0000037A, 0x0000037D}, {0x0000037F, 0x0000037F},
-{0x00000386, 0x00000386}, {0x00000388, 0x0000038A}, {0x0000038C, 0x0000038C}, {0x0000038E, 0x000003A1},
-{0x000003A3, 0x000003F5}, {0x000003F7, 0x00000481}, {0x0000048A, 0x0000052F}, {0x00000531, 0x00000556},
-{0x00000559, 0x00000559}, {0x00000560, 0x00000588}, {0x000005D0, 0x000005EA}, {0x000005EF, 0x000005F2},
-{0x00000620, 0x0000064A}, {0x0000066E, 0x0000066F}, {0x00000671, 0x000006D3}, {0x000006D5, 0x000006D5},
-{0x000006E5, 0x000006E6}, {0x000006EE, 0x000006EF}, {0x000006FA, 0x000006FC}, {0x000006FF, 0x000006FF},
-{0x00000710, 0x00000710}, {0x00000712, 0x0000072F}, {0x0000074D, 0x000007A5}, {0x000007B1, 0x000007B1},
-{0x000007CA, 0x000007EA}, {0x000007F4, 0x000007F5}, {0x000007FA, 0x000007FA}, {0x00000800, 0x00000815},
-{0x0000081A, 0x0000081A}, {0x00000824, 0x00000824}, {0x00000828, 0x00000828}, {0x00000840, 0x00000858},
-{0x00000860, 0x0000086A}, {0x00000870, 0x00000887}, {0x00000889, 0x0000088E}, {0x000008A0, 0x000008C9},
-{0x00000904, 0x00000939}, {0x0000093D, 0x0000093D}, {0x00000950, 0x00000950}, {0x00000958, 0x00000961},
-{0x00000971, 0x00000980}, {0x00000985, 0x0000098C}, {0x0000098F, 0x00000990}, {0x00000993, 0x000009A8},
-{0x000009AA, 0x000009B0}, {0x000009B2, 0x000009B2}, {0x000009B6, 0x000009B9}, {0x000009BD, 0x000009BD},
-{0x000009CE, 0x000009CE}, {0x000009DC, 0x000009DD}, {0x000009DF, 0x000009E1}, {0x000009F0, 0x000009F1},
-{0x000009FC, 0x000009FC}, {0x00000A05, 0x00000A0A}, {0x00000A0F, 0x00000A10}, {0x00000A13, 0x00000A28},
-{0x00000A2A, 0x00000A30}, {0x00000A32, 0x00000A33}, {0x00000A35, 0x00000A36}, {0x00000A38, 0x00000A39},
-{0x00000A59, 0x00000A5C}, {0x00000A5E, 0x00000A5E}, {0x00000A72, 0x00000A74}, {0x00000A85, 0x00000A8D},
-{0x00000A8F, 0x00000A91}, {0x00000A93, 0x00000AA8}, {0x00000AAA, 0x00000AB0}, {0x00000AB2, 0x00000AB3},
-{0x00000AB5, 0x00000AB9}, {0x00000ABD, 0x00000ABD}, {0x00000AD0, 0x00000AD0}, {0x00000AE0, 0x00000AE1},
-{0x00000AF9, 0x00000AF9}, {0x00000B05, 0x00000B0C}, {0x00000B0F, 0x00000B10}, {0x00000B13, 0x00000B28},
-{0x00000B2A, 0x00000B30}, {0x00000B32, 0x00000B33}, {0x00000B35, 0x00000B39}, {0x00000B3D, 0x00000B3D},
-{0x00000B5C, 0x00000B5D}, {0x00000B5F, 0x00000B61}, {0x00000B71, 0x00000B71}, {0x00000B83, 0x00000B83},
-{0x00000B85, 0x00000B8A}, {0x00000B8E, 0x00000B90}, {0x00000B92, 0x00000B95}, {0x00000B99, 0x00000B9A},
-{0x00000B9C, 0x00000B9C}, {0x00000B9E, 0x00000B9F}, {0x00000BA3, 0x00000BA4}, {0x00000BA8, 0x00000BAA},
-{0x00000BAE, 0x00000BB9}, {0x00000BD0, 0x00000BD0}, {0x00000C05, 0x00000C0C}, {0x00000C0E, 0x00000C10},
-{0x00000C12, 0x00000C28}, {0x00000C2A, 0x00000C39}, {0x00000C3D, 0x00000C3D}, {0x00000C58, 0x00000C5A},
-{0x00000C5D, 0x00000C5D}, {0x00000C60, 0x00000C61}, {0x00000C80, 0x00000C80}, {0x00000C85, 0x00000C8C},
-{0x00000C8E, 0x00000C90}, {0x00000C92, 0x00000CA8}, {0x00000CAA, 0x00000CB3}, {0x00000CB5, 0x00000CB9},
-{0x00000CBD, 0x00000CBD}, {0x00000CDD, 0x00000CDE}, {0x00000CE0, 0x00000CE1}, {0x00000CF1, 0x00000CF2},
-{0x00000D04, 0x00000D0C}, {0x00000D0E, 0x00000D10}, {0x00000D12, 0x00000D3A}, {0x00000D3D, 0x00000D3D},
-{0x00000D4E, 0x00000D4E}, {0x00000D54, 0x00000D56}, {0x00000D5F, 0x00000D61}, {0x00000D7A, 0x00000D7F},
-{0x00000D85, 0x00000D96}, {0x00000D9A, 0x00000DB1}, {0x00000DB3, 0x00000DBB}, {0x00000DBD, 0x00000DBD},
-{0x00000DC0, 0x00000DC6}, {0x00000E01, 0x00000E30}, {0x00000E32, 0x00000E33}, {0x00000E40, 0x00000E46},
-{0x00000E81, 0x00000E82}, {0x00000E84, 0x00000E84}, {0x00000E86, 0x00000E8A}, {0x00000E8C, 0x00000EA3},
-{0x00000EA5, 0x00000EA5}, {0x00000EA7, 0x00000EB0}, {0x00000EB2, 0x00000EB3}, {0x00000EBD, 0x00000EBD},
-{0x00000EC0, 0x00000EC4}, {0x00000EC6, 0x00000EC6}, {0x00000EDC, 0x00000EDF}, {0x00000F00, 0x00000F00},
-{0x00000F40, 0x00000F47}, {0x00000F49, 0x00000F6C}, {0x00000F88, 0x00000F8C}, {0x00001000, 0x0000102A},
-{0x0000103F, 0x0000103F}, {0x00001050, 0x00001055}, {0x0000105A, 0x0000105D}, {0x00001061, 0x00001061},
-{0x00001065, 0x00001066}, {0x0000106E, 0x00001070}, {0x00001075, 0x00001081}, {0x0000108E, 0x0000108E},
-{0x000010A0, 0x000010C5}, {0x000010C7, 0x000010C7}, {0x000010CD, 0x000010CD}, {0x000010D0, 0x000010FA},
-{0x000010FC, 0x00001248}, {0x0000124A, 0x0000124D}, {0x00001250, 0x00001256}, {0x00001258, 0x00001258},
-{0x0000125A, 0x0000125D}, {0x00001260, 0x00001288}, {0x0000128A, 0x0000128D}, {0x00001290, 0x000012B0},
-{0x000012B2, 0x000012B5}, {0x000012B8, 0x000012BE}, {0x000012C0, 0x000012C0}, {0x000012C2, 0x000012C5},
-{0x000012C8, 0x000012D6}, {0x000012D8, 0x00001310}, {0x00001312, 0x00001315}, {0x00001318, 0x0000135A},
-{0x00001380, 0x0000138F}, {0x000013A0, 0x000013F5}, {0x000013F8, 0x000013FD}, {0x00001401, 0x0000166C},
-{0x0000166F, 0x0000167F}, {0x00001681, 0x0000169A}, {0x000016A0, 0x000016EA}, {0x000016F1, 0x000016F8},
-{0x00001700, 0x00001711}, {0x0000171F, 0x00001731}, {0x00001740, 0x00001751}, {0x00001760, 0x0000176C},
-{0x0000176E, 0x00001770}, {0x00001780, 0x000017B3}, {0x000017D7, 0x000017D7}, {0x000017DC, 0x000017DC},
-{0x00001820, 0x00001878}, {0x00001880, 0x00001884}, {0x00001887, 0x000018A8}, {0x000018AA, 0x000018AA},
-{0x000018B0, 0x000018F5}, {0x00001900, 0x0000191E}, {0x00001950, 0x0000196D}, {0x00001970, 0x00001974},
-{0x00001980, 0x000019AB}, {0x000019B0, 0x000019C9}, {0x00001A00, 0x00001A16}, {0x00001A20, 0x00001A54},
-{0x00001AA7, 0x00001AA7}, {0x00001B05, 0x00001B33}, {0x00001B45, 0x00001B4C}, {0x00001B83, 0x00001BA0},
-{0x00001BAE, 0x00001BAF}, {0x00001BBA, 0x00001BE5}, {0x00001C00, 0x00001C23}, {0x00001C4D, 0x00001C4F},
-{0x00001C5A, 0x00001C7D}, {0x00001C80, 0x00001C88}, {0x00001C90, 0x00001CBA}, {0x00001CBD, 0x00001CBF},
-{0x00001CE9, 0x00001CEC}, {0x00001CEE, 0x00001CF3}, {0x00001CF5, 0x00001CF6}, {0x00001CFA, 0x00001CFA},
-{0x00001D00, 0x00001DBF}, {0x00001E00, 0x00001F15}, {0x00001F18, 0x00001F1D}, {0x00001F20, 0x00001F45},
-{0x00001F48, 0x00001F4D}, {0x00001F50, 0x00001F57}, {0x00001F59, 0x00001F59}, {0x00001F5B, 0x00001F5B},
-{0x00001F5D, 0x00001F5D}, {0x00001F5F, 0x00001F7D}, {0x00001F80, 0x00001FB4}, {0x00001FB6, 0x00001FBC},
-{0x00001FBE, 0x00001FBE}, {0x00001FC2, 0x00001FC4}, {0x00001FC6, 0x00001FCC}, {0x00001FD0, 0x00001FD3},
-{0x00001FD6, 0x00001FDB}, {0x00001FE0, 0x00001FEC}, {0x00001FF2, 0x00001FF4}, {0x00001FF6, 0x00001FFC},
-{0x00002071, 0x00002071}, {0x0000207F, 0x0000207F}, {0x00002090, 0x0000209C}, {0x00002102, 0x00002102},
-{0x00002107, 0x00002107}, {0x0000210A, 0x00002113}, {0x00002115, 0x00002115}, {0x00002119, 0x0000211D},
-{0x00002124, 0x00002124}, {0x00002126, 0x00002126}, {0x00002128, 0x00002128}, {0x0000212A, 0x0000212D},
-{0x0000212F, 0x00002139}, {0x0000213C, 0x0000213F}, {0x00002145, 0x00002149}, {0x0000214E, 0x0000214E},
-{0x00002183, 0x00002184}, {0x00002C00, 0x00002CE4}, {0x00002CEB, 0x00002CEE}, {0x00002CF2, 0x00002CF3},
-{0x00002D00, 0x00002D25}, {0x00002D27, 0x00002D27}, {0x00002D2D, 0x00002D2D}, {0x00002D30, 0x00002D67},
-{0x00002D6F, 0x00002D6F}, {0x00002D80, 0x00002D96}, {0x00002DA0, 0x00002DA6}, {0x00002DA8, 0x00002DAE},
-{0x00002DB0, 0x00002DB6}, {0x00002DB8, 0x00002DBE}, {0x00002DC0, 0x00002DC6}, {0x00002DC8, 0x00002DCE},
-{0x00002DD0, 0x00002DD6}, {0x00002DD8, 0x00002DDE}, {0x00002E2F, 0x00002E2F}, {0x00003005, 0x00003006},
-{0x00003031, 0x00003035}, {0x0000303B, 0x0000303C}, {0x00003041, 0x00003096}, {0x0000309D, 0x0000309F},
-{0x000030A1, 0x000030FA}, {0x000030FC, 0x000030FF}, {0x00003105, 0x0000312F}, {0x00003131, 0x0000318E},
-{0x000031A0, 0x000031BF}, {0x000031F0, 0x000031FF}, {0x00003400, 0x00004DBF}, {0x00004E00, 0x0000A48C},
-{0x0000A4D0, 0x0000A4FD}, {0x0000A500, 0x0000A60C}, {0x0000A610, 0x0000A61F}, {0x0000A62A, 0x0000A62B},
-{0x0000A640, 0x0000A66E}, {0x0000A67F, 0x0000A69D}, {0x0000A6A0, 0x0000A6E5}, {0x0000A717, 0x0000A71F},
-{0x0000A722, 0x0000A788}, {0x0000A78B, 0x0000A7CA}, {0x0000A7D0, 0x0000A7D1}, {0x0000A7D3, 0x0000A7D3},
-{0x0000A7D5, 0x0000A7D9}, {0x0000A7F2, 0x0000A801}, {0x0000A803, 0x0000A805}, {0x0000A807, 0x0000A80A},
-{0x0000A80C, 0x0000A822}, {0x0000A840, 0x0000A873}, {0x0000A882, 0x0000A8B3}, {0x0000A8F2, 0x0000A8F7},
-{0x0000A8FB, 0x0000A8FB}, {0x0000A8FD, 0x0000A8FE}, {0x0000A90A, 0x0000A925}, {0x0000A930, 0x0000A946},
-{0x0000A960, 0x0000A97C}, {0x0000A984, 0x0000A9B2}, {0x0000A9CF, 0x0000A9CF}, {0x0000A9E0, 0x0000A9E4},
-{0x0000A9E6, 0x0000A9EF}, {0x0000A9FA, 0x0000A9FE}, {0x0000AA00, 0x0000AA28}, {0x0000AA40, 0x0000AA42},
-{0x0000AA44, 0x0000AA4B}, {0x0000AA60, 0x0000AA76}, {0x0000AA7A, 0x0000AA7A}, {0x0000AA7E, 0x0000AAAF},
-{0x0000AAB1, 0x0000AAB1}, {0x0000AAB5, 0x0000AAB6}, {0x0000AAB9, 0x0000AABD}, {0x0000AAC0, 0x0000AAC0},
-{0x0000AAC2, 0x0000AAC2}, {0x0000AADB, 0x0000AADD}, {0x0000AAE0, 0x0000AAEA}, {0x0000AAF2, 0x0000AAF4},
-{0x0000AB01, 0x0000AB06}, {0x0000AB09, 0x0000AB0E}, {0x0000AB11, 0x0000AB16}, {0x0000AB20, 0x0000AB26},
-{0x0000AB28, 0x0000AB2E}, {0x0000AB30, 0x0000AB5A}, {0x0000AB5C, 0x0000AB69}, {0x0000AB70, 0x0000ABE2},
-{0x0000AC00, 0x0000D7A3}, {0x0000D7B0, 0x0000D7C6}, {0x0000D7CB, 0x0000D7FB}, {0x0000F900, 0x0000FA6D},
-{0x0000FA70, 0x0000FAD9}, {0x0000FB00, 0x0000FB06}, {0x0000FB13, 0x0000FB17}, {0x0000FB1D, 0x0000FB1D},
-{0x0000FB1F, 0x0000FB28}, {0x0000FB2A, 0x0000FB36}, {0x0000FB38, 0x0000FB3C}, {0x0000FB3E, 0x0000FB3E},
-{0x0000FB40, 0x0000FB41}, {0x0000FB43, 0x0000FB44}, {0x0000FB46, 0x0000FBB1}, {0x0000FBD3, 0x0000FD3D},
-{0x0000FD50, 0x0000FD8F}, {0x0000FD92, 0x0000FDC7}, {0x0000FDF0, 0x0000FDFB}, {0x0000FE70, 0x0000FE74},
-{0x0000FE76, 0x0000FEFC}, {0x0000FF21, 0x0000FF3A}, {0x0000FF41, 0x0000FF5A}, {0x0000FF66, 0x0000FFBE},
-{0x0000FFC2, 0x0000FFC7}, {0x0000FFCA, 0x0000FFCF}, {0x0000FFD2, 0x0000FFD7}, {0x0000FFDA, 0x0000FFDC},
-{0x00010000, 0x0001000B}, {0x0001000D, 0x00010026}, {0x00010028, 0x0001003A}, {0x0001003C, 0x0001003D},
-{0x0001003F, 0x0001004D}, {0x00010050, 0x0001005D}, {0x00010080, 0x000100FA}, {0x00010280, 0x0001029C},
-{0x000102A0, 0x000102D0}, {0x00010300, 0x0001031F}, {0x0001032D, 0x00010340}, {0x00010342, 0x00010349},
-{0x00010350, 0x00010375}, {0x00010380, 0x0001039D}, {0x000103A0, 0x000103C3}, {0x000103C8, 0x000103CF},
-{0x00010400, 0x0001049D}, {0x000104B0, 0x000104D3}, {0x000104D8, 0x000104FB}, {0x00010500, 0x00010527},
-{0x00010530, 0x00010563}, {0x00010570, 0x0001057A}, {0x0001057C, 0x0001058A}, {0x0001058C, 0x00010592},
-{0x00010594, 0x00010595}, {0x00010597, 0x000105A1}, {0x000105A3, 0x000105B1}, {0x000105B3, 0x000105B9},
-{0x000105BB, 0x000105BC}, {0x00010600, 0x00010736}, {0x00010740, 0x00010755}, {0x00010760, 0x00010767},
-{0x00010780, 0x00010785}, {0x00010787, 0x000107B0}, {0x000107B2, 0x000107BA}, {0x00010800, 0x00010805},
-{0x00010808, 0x00010808}, {0x0001080A, 0x00010835}, {0x00010837, 0x00010838}, {0x0001083C, 0x0001083C},
-{0x0001083F, 0x00010855}, {0x00010860, 0x00010876}, {0x00010880, 0x0001089E}, {0x000108E0, 0x000108F2},
-{0x000108F4, 0x000108F5}, {0x00010900, 0x00010915}, {0x00010920, 0x00010939}, {0x00010980, 0x000109B7},
-{0x000109BE, 0x000109BF}, {0x00010A00, 0x00010A00}, {0x00010A10, 0x00010A13}, {0x00010A15, 0x00010A17},
-{0x00010A19, 0x00010A35}, {0x00010A60, 0x00010A7C}, {0x00010A80, 0x00010A9C}, {0x00010AC0, 0x00010AC7},
-{0x00010AC9, 0x00010AE4}, {0x00010B00, 0x00010B35}, {0x00010B40, 0x00010B55}, {0x00010B60, 0x00010B72},
-{0x00010B80, 0x00010B91}, {0x00010C00, 0x00010C48}, {0x00010C80, 0x00010CB2}, {0x00010CC0, 0x00010CF2},
-{0x00010D00, 0x00010D23}, {0x00010E80, 0x00010EA9}, {0x00010EB0, 0x00010EB1}, {0x00010F00, 0x00010F1C},
-{0x00010F27, 0x00010F27}, {0x00010F30, 0x00010F45}, {0x00010F70, 0x00010F81}, {0x00010FB0, 0x00010FC4},
-{0x00010FE0, 0x00010FF6}, {0x00011003, 0x00011037}, {0x00011071, 0x00011072}, {0x00011075, 0x00011075},
-{0x00011083, 0x000110AF}, {0x000110D0, 0x000110E8}, {0x00011103, 0x00011126}, {0x00011144, 0x00011144},
-{0x00011147, 0x00011147}, {0x00011150, 0x00011172}, {0x00011176, 0x00011176}, {0x00011183, 0x000111B2},
-{0x000111C1, 0x000111C4}, {0x000111DA, 0x000111DA}, {0x000111DC, 0x000111DC}, {0x00011200, 0x00011211},
-{0x00011213, 0x0001122B}, {0x0001123F, 0x00011240}, {0x00011280, 0x00011286}, {0x00011288, 0x00011288},
-{0x0001128A, 0x0001128D}, {0x0001128F, 0x0001129D}, {0x0001129F, 0x000112A8}, {0x000112B0, 0x000112DE},
-{0x00011305, 0x0001130C}, {0x0001130F, 0x00011310}, {0x00011313, 0x00011328}, {0x0001132A, 0x00011330},
-{0x00011332, 0x00011333}, {0x00011335, 0x00011339}, {0x0001133D, 0x0001133D}, {0x00011350, 0x00011350},
-{0x0001135D, 0x00011361}, {0x00011400, 0x00011434}, {0x00011447, 0x0001144A}, {0x0001145F, 0x00011461},
-{0x00011480, 0x000114AF}, {0x000114C4, 0x000114C5}, {0x000114C7, 0x000114C7}, {0x00011580, 0x000115AE},
-{0x000115D8, 0x000115DB}, {0x00011600, 0x0001162F}, {0x00011644, 0x00011644}, {0x00011680, 0x000116AA},
-{0x000116B8, 0x000116B8}, {0x00011700, 0x0001171A}, {0x00011740, 0x00011746}, {0x00011800, 0x0001182B},
-{0x000118A0, 0x000118DF}, {0x000118FF, 0x00011906}, {0x00011909, 0x00011909}, {0x0001190C, 0x00011913},
-{0x00011915, 0x00011916}, {0x00011918, 0x0001192F}, {0x0001193F, 0x0001193F}, {0x00011941, 0x00011941},
-{0x000119A0, 0x000119A7}, {0x000119AA, 0x000119D0}, {0x000119E1, 0x000119E1}, {0x000119E3, 0x000119E3},
-{0x00011A00, 0x00011A00}, {0x00011A0B, 0x00011A32}, {0x00011A3A, 0x00011A3A}, {0x00011A50, 0x00011A50},
-{0x00011A5C, 0x00011A89}, {0x00011A9D, 0x00011A9D}, {0x00011AB0, 0x00011AF8}, {0x00011C00, 0x00011C08},
-{0x00011C0A, 0x00011C2E}, {0x00011C40, 0x00011C40}, {0x00011C72, 0x00011C8F}, {0x00011D00, 0x00011D06},
-{0x00011D08, 0x00011D09}, {0x00011D0B, 0x00011D30}, {0x00011D46, 0x00011D46}, {0x00011D60, 0x00011D65},
-{0x00011D67, 0x00011D68}, {0x00011D6A, 0x00011D89}, {0x00011D98, 0x00011D98}, {0x00011EE0, 0x00011EF2},
-{0x00011F02, 0x00011F02}, {0x00011F04, 0x00011F10}, {0x00011F12, 0x00011F33}, {0x00011FB0, 0x00011FB0},
-{0x00012000, 0x00012399}, {0x00012480, 0x00012543}, {0x00012F90, 0x00012FF0}, {0x00013000, 0x0001342F},
-{0x00013441, 0x00013446}, {0x00014400, 0x00014646}, {0x00016800, 0x00016A38}, {0x00016A40, 0x00016A5E},
-{0x00016A70, 0x00016ABE}, {0x00016AD0, 0x00016AED}, {0x00016B00, 0x00016B2F}, {0x00016B40, 0x00016B43},
-{0x00016B63, 0x00016B77}, {0x00016B7D, 0x00016B8F}, {0x00016E40, 0x00016E7F}, {0x00016F00, 0x00016F4A},
-{0x00016F50, 0x00016F50}, {0x00016F93, 0x00016F9F}, {0x00016FE0, 0x00016FE1}, {0x00016FE3, 0x00016FE3},
-{0x00017000, 0x000187F7}, {0x00018800, 0x00018CD5}, {0x00018D00, 0x00018D08}, {0x0001AFF0, 0x0001AFF3},
-{0x0001AFF5, 0x0001AFFB}, {0x0001AFFD, 0x0001AFFE}, {0x0001B000, 0x0001B122}, {0x0001B132, 0x0001B132},
-{0x0001B150, 0x0001B152}, {0x0001B155, 0x0001B155}, {0x0001B164, 0x0001B167}, {0x0001B170, 0x0001B2FB},
-{0x0001BC00, 0x0001BC6A}, {0x0001BC70, 0x0001BC7C}, {0x0001BC80, 0x0001BC88}, {0x0001BC90, 0x0001BC99},
-{0x0001D400, 0x0001D454}, {0x0001D456, 0x0001D49C}, {0x0001D49E, 0x0001D49F}, {0x0001D4A2, 0x0001D4A2},
-{0x0001D4A5, 0x0001D4A6}, {0x0001D4A9, 0x0001D4AC}, {0x0001D4AE, 0x0001D4B9}, {0x0001D4BB, 0x0001D4BB},
-{0x0001D4BD, 0x0001D4C3}, {0x0001D4C5, 0x0001D505}, {0x0001D507, 0x0001D50A}, {0x0001D50D, 0x0001D514},
-{0x0001D516, 0x0001D51C}, {0x0001D51E, 0x0001D539}, {0x0001D53B, 0x0001D53E}, {0x0001D540, 0x0001D544},
-{0x0001D546, 0x0001D546}, {0x0001D54A, 0x0001D550}, {0x0001D552, 0x0001D6A5}, {0x0001D6A8, 0x0001D6C0},
-{0x0001D6C2, 0x0001D6DA}, {0x0001D6DC, 0x0001D6FA}, {0x0001D6FC, 0x0001D714}, {0x0001D716, 0x0001D734},
-{0x0001D736, 0x0001D74E}, {0x0001D750, 0x0001D76E}, {0x0001D770, 0x0001D788}, {0x0001D78A, 0x0001D7A8},
-{0x0001D7AA, 0x0001D7C2}, {0x0001D7C4, 0x0001D7CB}, {0x0001DF00, 0x0001DF1E}, {0x0001DF25, 0x0001DF2A},
-{0x0001E030, 0x0001E06D}, {0x0001E100, 0x0001E12C}, {0x0001E137, 0x0001E13D}, {0x0001E14E, 0x0001E14E},
-{0x0001E290, 0x0001E2AD}, {0x0001E2C0, 0x0001E2EB}, {0x0001E4D0, 0x0001E4EB}, {0x0001E7E0, 0x0001E7E6},
-{0x0001E7E8, 0x0001E7EB}, {0x0001E7ED, 0x0001E7EE}, {0x0001E7F0, 0x0001E7FE}, {0x0001E800, 0x0001E8C4},
-{0x0001E900, 0x0001E943}, {0x0001E94B, 0x0001E94B}, {0x0001EE00, 0x0001EE03}, {0x0001EE05, 0x0001EE1F},
-{0x0001EE21, 0x0001EE22}, {0x0001EE24, 0x0001EE24}, {0x0001EE27, 0x0001EE27}, {0x0001EE29, 0x0001EE32},
-{0x0001EE34, 0x0001EE37}, {0x0001EE39, 0x0001EE39}, {0x0001EE3B, 0x0001EE3B}, {0x0001EE42, 0x0001EE42},
-{0x0001EE47, 0x0001EE47}, {0x0001EE49, 0x0001EE49}, {0x0001EE4B, 0x0001EE4B}, {0x0001EE4D, 0x0001EE4F},
-{0x0001EE51, 0x0001EE52}, {0x0001EE54, 0x0001EE54}, {0x0001EE57, 0x0001EE57}, {0x0001EE59, 0x0001EE59},
-{0x0001EE5B, 0x0001EE5B}, {0x0001EE5D, 0x0001EE5D}, {0x0001EE5F, 0x0001EE5F}, {0x0001EE61, 0x0001EE62},
-{0x0001EE64, 0x0001EE64}, {0x0001EE67, 0x0001EE6A}, {0x0001EE6C, 0x0001EE72}, {0x0001EE74, 0x0001EE77},
-{0x0001EE79, 0x0001EE7C}, {0x0001EE7E, 0x0001EE7E}, {0x0001EE80, 0x0001EE89}, {0x0001EE8B, 0x0001EE9B},
-{0x0001EEA1, 0x0001EEA3}, {0x0001EEA5, 0x0001EEA9}, {0x0001EEAB, 0x0001EEBB}, {0x00020000, 0x0002A6DF},
-{0x0002A700, 0x0002B739}, {0x0002B740, 0x0002B81D}, {0x0002B820, 0x0002CEA1}, {0x0002CEB0, 0x0002EBE0},
-{0x0002EBF0, 0x0002EE5D}, {0x0002F800, 0x0002FA1D}, {0x00030000, 0x0003134A}, {0x00031350, 0x000323AF},
+const std::unordered_set<uint32_t> unicode_set_whitespace = {
+0x000009, 0x00000A, 0x00000B, 0x00000C, 0x00000D, 0x000020, 0x000085, 0x0000A0, 0x001680, 0x002000, 0x002001, 0x002002, 0x002003, 0x002004, 0x002005, 0x002006, 0x002007, 0x002008, 0x002009, 0x00200A, 0x002028, 0x002029, 0x00202F, 0x00205F, 0x003000
 };
 
-const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_separator = {
-{0x00000020, 0x00000020}, {0x000000A0, 0x000000A0}, {0x00001680, 0x00001680}, {0x00002000, 0x0000200A},
-{0x00002028, 0x00002029}, {0x0000202F, 0x0000202F}, {0x0000205F, 0x0000205F}, {0x00003000, 0x00003000},
+const std::unordered_map<uint32_t, uint32_t> unicode_map_lowercase = {
+{0x000041, 0x000061},
+{0x000042, 0x000062},
+{0x000043, 0x000063},
+{0x000044, 0x000064},
+{0x000045, 0x000065},
+{0x000046, 0x000066},
+{0x000047, 0x000067},
+{0x000048, 0x000068},
+{0x000049, 0x000069},
+{0x00004A, 0x00006A},
+{0x00004B, 0x00006B},
+{0x00004C, 0x00006C},
+{0x00004D, 0x00006D},
+{0x00004E, 0x00006E},
+{0x00004F, 0x00006F},
+{0x000050, 0x000070},
+{0x000051, 0x000071},
+{0x000052, 0x000072},
+{0x000053, 0x000073},
+{0x000054, 0x000074},
+{0x000055, 0x000075},
+{0x000056, 0x000076},
+{0x000057, 0x000077},
+{0x000058, 0x000078},
+{0x000059, 0x000079},
+{0x00005A, 0x00007A},
+{0x0000C0, 0x0000E0},
+{0x0000C1, 0x0000E1},
+{0x0000C2, 0x0000E2},
+{0x0000C3, 0x0000E3},
+{0x0000C4, 0x0000E4},
+{0x0000C5, 0x0000E5},
+{0x0000C6, 0x0000E6},
+{0x0000C7, 0x0000E7},
+{0x0000C8, 0x0000E8},
+{0x0000C9, 0x0000E9},
+{0x0000CA, 0x0000EA},
+{0x0000CB, 0x0000EB},
+{0x0000CC, 0x0000EC},
+{0x0000CD, 0x0000ED},
+{0x0000CE, 0x0000EE},
+{0x0000CF, 0x0000EF},
+{0x0000D0, 0x0000F0},
+{0x0000D1, 0x0000F1},
+{0x0000D2, 0x0000F2},
+{0x0000D3, 0x0000F3},
+{0x0000D4, 0x0000F4},
+{0x0000D5, 0x0000F5},
+{0x0000D6, 0x0000F6},
+{0x0000D8, 0x0000F8},
+{0x0000D9, 0x0000F9},
+{0x0000DA, 0x0000FA},
+{0x0000DB, 0x0000FB},
+{0x0000DC, 0x0000FC},
+{0x0000DD, 0x0000FD},
+{0x0000DE, 0x0000FE},
+{0x000100, 0x000101},
+{0x000102, 0x000103},
+{0x000104, 0x000105},
+{0x000106, 0x000107},
+{0x000108, 0x000109},
+{0x00010A, 0x00010B},
+{0x00010C, 0x00010D},
+{0x00010E, 0x00010F},
+{0x000110, 0x000111},
+{0x000112, 0x000113},
+{0x000114, 0x000115},
+{0x000116, 0x000117},
+{0x000118, 0x000119},
+{0x00011A, 0x00011B},
+{0x00011C, 0x00011D},
+{0x00011E, 0x00011F},
+{0x000120, 0x000121},
+{0x000122, 0x000123},
+{0x000124, 0x000125},
+{0x000126, 0x000127},
+{0x000128, 0x000129},
+{0x00012A, 0x00012B},
+{0x00012C, 0x00012D},
+{0x00012E, 0x00012F},
+{0x000130, 0x000069},
+{0x000132, 0x000133},
+{0x000134, 0x000135},
+{0x000136, 0x000137},
+{0x000139, 0x00013A},
+{0x00013B, 0x00013C},
+{0x00013D, 0x00013E},
+{0x00013F, 0x000140},
+{0x000141, 0x000142},
+{0x000143, 0x000144},
+{0x000145, 0x000146},
+{0x000147, 0x000148},
+{0x00014A, 0x00014B},
+{0x00014C, 0x00014D},
+{0x00014E, 0x00014F},
+{0x000150, 0x000151},
+{0x000152, 0x000153},
+{0x000154, 0x000155},
+{0x000156, 0x000157},
+{0x000158, 0x000159},
+{0x00015A, 0x00015B},
+{0x00015C, 0x00015D},
+{0x00015E, 0x00015F},
+{0x000160, 0x000161},
+{0x000162, 0x000163},
+{0x000164, 0x000165},
+{0x000166, 0x000167},
+{0x000168, 0x000169},
+{0x00016A, 0x00016B},
+{0x00016C, 0x00016D},
+{0x00016E, 0x00016F},
+{0x000170, 0x000171},
+{0x000172, 0x000173},
+{0x000174, 0x000175},
+{0x000176, 0x000177},
+{0x000178, 0x0000FF},
+{0x000179, 0x00017A},
+{0x00017B, 0x00017C},
+{0x00017D, 0x00017E},
+{0x000181, 0x000253},
+{0x000182, 0x000183},
+{0x000184, 0x000185},
+{0x000186, 0x000254},
+{0x000187, 0x000188},
+{0x000189, 0x000256},
+{0x00018A, 0x000257},
+{0x00018B, 0x00018C},
+{0x00018E, 0x0001DD},
+{0x00018F, 0x000259},
+{0x000190, 0x00025B},
+{0x000191, 0x000192},
+{0x000193, 0x000260},
+{0x000194, 0x000263},
+{0x000196, 0x000269},
+{0x000197, 0x000268},
+{0x000198, 0x000199},
+{0x00019C, 0x00026F},
+{0x00019D, 0x000272},
+{0x00019F, 0x000275},
+{0x0001A0, 0x0001A1},
+{0x0001A2, 0x0001A3},
+{0x0001A4, 0x0001A5},
+{0x0001A6, 0x000280},
+{0x0001A7, 0x0001A8},
+{0x0001A9, 0x000283},
+{0x0001AC, 0x0001AD},
+{0x0001AE, 0x000288},
+{0x0001AF, 0x0001B0},
+{0x0001B1, 0x00028A},
+{0x0001B2, 0x00028B},
+{0x0001B3, 0x0001B4},
+{0x0001B5, 0x0001B6},
+{0x0001B7, 0x000292},
+{0x0001B8, 0x0001B9},
+{0x0001BC, 0x0001BD},
+{0x0001C4, 0x0001C6},
+{0x0001C5, 0x0001C6},
+{0x0001C7, 0x0001C9},
+{0x0001C8, 0x0001C9},
+{0x0001CA, 0x0001CC},
+{0x0001CB, 0x0001CC},
+{0x0001CD, 0x0001CE},
+{0x0001CF, 0x0001D0},
+{0x0001D1, 0x0001D2},
+{0x0001D3, 0x0001D4},
+{0x0001D5, 0x0001D6},
+{0x0001D7, 0x0001D8},
+{0x0001D9, 0x0001DA},
+{0x0001DB, 0x0001DC},
+{0x0001DE, 0x0001DF},
+{0x0001E0, 0x0001E1},
+{0x0001E2, 0x0001E3},
+{0x0001E4, 0x0001E5},
+{0x0001E6, 0x0001E7},
+{0x0001E8, 0x0001E9},
+{0x0001EA, 0x0001EB},
+{0x0001EC, 0x0001ED},
+{0x0001EE, 0x0001EF},
+{0x0001F1, 0x0001F3},
+{0x0001F2, 0x0001F3},
+{0x0001F4, 0x0001F5},
+{0x0001F6, 0x000195},
+{0x0001F7, 0x0001BF},
+{0x0001F8, 0x0001F9},
+{0x0001FA, 0x0001FB},
+{0x0001FC, 0x0001FD},
+{0x0001FE, 0x0001FF},
+{0x000200, 0x000201},
+{0x000202, 0x000203},
+{0x000204, 0x000205},
+{0x000206, 0x000207},
+{0x000208, 0x000209},
+{0x00020A, 0x00020B},
+{0x00020C, 0x00020D},
+{0x00020E, 0x00020F},
+{0x000210, 0x000211},
+{0x000212, 0x000213},
+{0x000214, 0x000215},
+{0x000216, 0x000217},
+{0x000218, 0x000219},
+{0x00021A, 0x00021B},
+{0x00021C, 0x00021D},
+{0x00021E, 0x00021F},
+{0x000220, 0x00019E},
+{0x000222, 0x000223},
+{0x000224, 0x000225},
+{0x000226, 0x000227},
+{0x000228, 0x000229},
+{0x00022A, 0x00022B},
+{0x00022C, 0x00022D},
+{0x00022E, 0x00022F},
+{0x000230, 0x000231},
+{0x000232, 0x000233},
+{0x00023A, 0x002C65},
+{0x00023B, 0x00023C},
+{0x00023D, 0x00019A},
+{0x00023E, 0x002C66},
+{0x000241, 0x000242},
+{0x000243, 0x000180},
+{0x000244, 0x000289},
+{0x000245, 0x00028C},
+{0x000246, 0x000247},
+{0x000248, 0x000249},
+{0x00024A, 0x00024B},
+{0x00024C, 0x00024D},
+{0x00024E, 0x00024F},
+{0x000370, 0x000371},
+{0x000372, 0x000373},
+{0x000376, 0x000377},
+{0x00037F, 0x0003F3},
+{0x000386, 0x0003AC},
+{0x000388, 0x0003AD},
+{0x000389, 0x0003AE},
+{0x00038A, 0x0003AF},
+{0x00038C, 0x0003CC},
+{0x00038E, 0x0003CD},
+{0x00038F, 0x0003CE},
+{0x000391, 0x0003B1},
+{0x000392, 0x0003B2},
+{0x000393, 0x0003B3},
+{0x000394, 0x0003B4},
+{0x000395, 0x0003B5},
+{0x000396, 0x0003B6},
+{0x000397, 0x0003B7},
+{0x000398, 0x0003B8},
+{0x000399, 0x0003B9},
+{0x00039A, 0x0003BA},
+{0x00039B, 0x0003BB},
+{0x00039C, 0x0003BC},
+{0x00039D, 0x0003BD},
+{0x00039E, 0x0003BE},
+{0x00039F, 0x0003BF},
+{0x0003A0, 0x0003C0},
+{0x0003A1, 0x0003C1},
+{0x0003A3, 0x0003C3},
+{0x0003A4, 0x0003C4},
+{0x0003A5, 0x0003C5},
+{0x0003A6, 0x0003C6},
+{0x0003A7, 0x0003C7},
+{0x0003A8, 0x0003C8},
+{0x0003A9, 0x0003C9},
+{0x0003AA, 0x0003CA},
+{0x0003AB, 0x0003CB},
+{0x0003CF, 0x0003D7},
+{0x0003D8, 0x0003D9},
+{0x0003DA, 0x0003DB},
+{0x0003DC, 0x0003DD},
+{0x0003DE, 0x0003DF},
+{0x0003E0, 0x0003E1},
+{0x0003E2, 0x0003E3},
+{0x0003E4, 0x0003E5},
+{0x0003E6, 0x0003E7},
+{0x0003E8, 0x0003E9},
+{0x0003EA, 0x0003EB},
+{0x0003EC, 0x0003ED},
+{0x0003EE, 0x0003EF},
+{0x0003F4, 0x0003B8},
+{0x0003F7, 0x0003F8},
+{0x0003F9, 0x0003F2},
+{0x0003FA, 0x0003FB},
+{0x0003FD, 0x00037B},
+{0x0003FE, 0x00037C},
+{0x0003FF, 0x00037D},
+{0x000400, 0x000450},
+{0x000401, 0x000451},
+{0x000402, 0x000452},
+{0x000403, 0x000453},
+{0x000404, 0x000454},
+{0x000405, 0x000455},
+{0x000406, 0x000456},
+{0x000407, 0x000457},
+{0x000408, 0x000458},
+{0x000409, 0x000459},
+{0x00040A, 0x00045A},
+{0x00040B, 0x00045B},
+{0x00040C, 0x00045C},
+{0x00040D, 0x00045D},
+{0x00040E, 0x00045E},
+{0x00040F, 0x00045F},
+{0x000410, 0x000430},
+{0x000411, 0x000431},
+{0x000412, 0x000432},
+{0x000413, 0x000433},
+{0x000414, 0x000434},
+{0x000415, 0x000435},
+{0x000416, 0x000436},
+{0x000417, 0x000437},
+{0x000418, 0x000438},
+{0x000419, 0x000439},
+{0x00041A, 0x00043A},
+{0x00041B, 0x00043B},
+{0x00041C, 0x00043C},
+{0x00041D, 0x00043D},
+{0x00041E, 0x00043E},
+{0x00041F, 0x00043F},
+{0x000420, 0x000440},
+{0x000421, 0x000441},
+{0x000422, 0x000442},
+{0x000423, 0x000443},
+{0x000424, 0x000444},
+{0x000425, 0x000445},
+{0x000426, 0x000446},
+{0x000427, 0x000447},
+{0x000428, 0x000448},
+{0x000429, 0x000449},
+{0x00042A, 0x00044A},
+{0x00042B, 0x00044B},
+{0x00042C, 0x00044C},
+{0x00042D, 0x00044D},
+{0x00042E, 0x00044E},
+{0x00042F, 0x00044F},
+{0x000460, 0x000461},
+{0x000462, 0x000463},
+{0x000464, 0x000465},
+{0x000466, 0x000467},
+{0x000468, 0x000469},
+{0x00046A, 0x00046B},
+{0x00046C, 0x00046D},
+{0x00046E, 0x00046F},
+{0x000470, 0x000471},
+{0x000472, 0x000473},
+{0x000474, 0x000475},
+{0x000476, 0x000477},
+{0x000478, 0x000479},
+{0x00047A, 0x00047B},
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+{0x016E55, 0x016E75},
+{0x016E56, 0x016E76},
+{0x016E57, 0x016E77},
+{0x016E58, 0x016E78},
+{0x016E59, 0x016E79},
+{0x016E5A, 0x016E7A},
+{0x016E5B, 0x016E7B},
+{0x016E5C, 0x016E7C},
+{0x016E5D, 0x016E7D},
+{0x016E5E, 0x016E7E},
+{0x016E5F, 0x016E7F},
+{0x01E900, 0x01E922},
+{0x01E901, 0x01E923},
+{0x01E902, 0x01E924},
+{0x01E903, 0x01E925},
+{0x01E904, 0x01E926},
+{0x01E905, 0x01E927},
+{0x01E906, 0x01E928},
+{0x01E907, 0x01E929},
+{0x01E908, 0x01E92A},
+{0x01E909, 0x01E92B},
+{0x01E90A, 0x01E92C},
+{0x01E90B, 0x01E92D},
+{0x01E90C, 0x01E92E},
+{0x01E90D, 0x01E92F},
+{0x01E90E, 0x01E930},
+{0x01E90F, 0x01E931},
+{0x01E910, 0x01E932},
+{0x01E911, 0x01E933},
+{0x01E912, 0x01E934},
+{0x01E913, 0x01E935},
+{0x01E914, 0x01E936},
+{0x01E915, 0x01E937},
+{0x01E916, 0x01E938},
+{0x01E917, 0x01E939},
+{0x01E918, 0x01E93A},
+{0x01E919, 0x01E93B},
+{0x01E91A, 0x01E93C},
+{0x01E91B, 0x01E93D},
+{0x01E91C, 0x01E93E},
+{0x01E91D, 0x01E93F},
+{0x01E91E, 0x01E940},
+{0x01E91F, 0x01E941},
+{0x01E920, 0x01E942},
+{0x01E921, 0x01E943},
 };
 
-const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_whitespace = {
-{0x00000009, 0x0000000D}, {0x00000020, 0x00000020}, {0x00000085, 0x00000085}, {0x000000A0, 0x000000A0},
-{0x00001680, 0x00001680}, {0x00002000, 0x0000200A}, {0x00002028, 0x00002029}, {0x0000202F, 0x0000202F},
-{0x0000205F, 0x0000205F}, {0x00003000, 0x00003000},
+const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
+{0x000061, 0x000041},
+{0x000062, 0x000042},
+{0x000063, 0x000043},
+{0x000064, 0x000044},
+{0x000065, 0x000045},
+{0x000066, 0x000046},
+{0x000067, 0x000047},
+{0x000068, 0x000048},
+{0x000069, 0x000049},
+{0x00006A, 0x00004A},
+{0x00006B, 0x00004B},
+{0x00006C, 0x00004C},
+{0x00006D, 0x00004D},
+{0x00006E, 0x00004E},
+{0x00006F, 0x00004F},
+{0x000070, 0x000050},
+{0x000071, 0x000051},
+{0x000072, 0x000052},
+{0x000073, 0x000053},
+{0x000074, 0x000054},
+{0x000075, 0x000055},
+{0x000076, 0x000056},
+{0x000077, 0x000057},
+{0x000078, 0x000058},
+{0x000079, 0x000059},
+{0x00007A, 0x00005A},
+{0x0000B5, 0x00039C},
+{0x0000DF, 0x000053},
+{0x0000E0, 0x0000C0},
+{0x0000E1, 0x0000C1},
+{0x0000E2, 0x0000C2},
+{0x0000E3, 0x0000C3},
+{0x0000E4, 0x0000C4},
+{0x0000E5, 0x0000C5},
+{0x0000E6, 0x0000C6},
+{0x0000E7, 0x0000C7},
+{0x0000E8, 0x0000C8},
+{0x0000E9, 0x0000C9},
+{0x0000EA, 0x0000CA},
+{0x0000EB, 0x0000CB},
+{0x0000EC, 0x0000CC},
+{0x0000ED, 0x0000CD},
+{0x0000EE, 0x0000CE},
+{0x0000EF, 0x0000CF},
+{0x0000F0, 0x0000D0},
+{0x0000F1, 0x0000D1},
+{0x0000F2, 0x0000D2},
+{0x0000F3, 0x0000D3},
+{0x0000F4, 0x0000D4},
+{0x0000F5, 0x0000D5},
+{0x0000F6, 0x0000D6},
+{0x0000F8, 0x0000D8},
+{0x0000F9, 0x0000D9},
+{0x0000FA, 0x0000DA},
+{0x0000FB, 0x0000DB},
+{0x0000FC, 0x0000DC},
+{0x0000FD, 0x0000DD},
+{0x0000FE, 0x0000DE},
+{0x0000FF, 0x000178},
+{0x000101, 0x000100},
+{0x000103, 0x000102},
+{0x000105, 0x000104},
+{0x000107, 0x000106},
+{0x000109, 0x000108},
+{0x00010B, 0x00010A},
+{0x00010D, 0x00010C},
+{0x00010F, 0x00010E},
+{0x000111, 0x000110},
+{0x000113, 0x000112},
+{0x000115, 0x000114},
+{0x000117, 0x000116},
+{0x000119, 0x000118},
+{0x00011B, 0x00011A},
+{0x00011D, 0x00011C},
+{0x00011F, 0x00011E},
+{0x000121, 0x000120},
+{0x000123, 0x000122},
+{0x000125, 0x000124},
+{0x000127, 0x000126},
+{0x000129, 0x000128},
+{0x00012B, 0x00012A},
+{0x00012D, 0x00012C},
+{0x00012F, 0x00012E},
+{0x000131, 0x000049},
+{0x000133, 0x000132},
+{0x000135, 0x000134},
+{0x000137, 0x000136},
+{0x00013A, 0x000139},
+{0x00013C, 0x00013B},
+{0x00013E, 0x00013D},
+{0x000140, 0x00013F},
+{0x000142, 0x000141},
+{0x000144, 0x000143},
+{0x000146, 0x000145},
+{0x000148, 0x000147},
+{0x000149, 0x0002BC},
+{0x00014B, 0x00014A},
+{0x00014D, 0x00014C},
+{0x00014F, 0x00014E},
+{0x000151, 0x000150},
+{0x000153, 0x000152},
+{0x000155, 0x000154},
+{0x000157, 0x000156},
+{0x000159, 0x000158},
+{0x00015B, 0x00015A},
+{0x00015D, 0x00015C},
+{0x00015F, 0x00015E},
+{0x000161, 0x000160},
+{0x000163, 0x000162},
+{0x000165, 0x000164},
+{0x000167, 0x000166},
+{0x000169, 0x000168},
+{0x00016B, 0x00016A},
+{0x00016D, 0x00016C},
+{0x00016F, 0x00016E},
+{0x000171, 0x000170},
+{0x000173, 0x000172},
+{0x000175, 0x000174},
+{0x000177, 0x000176},
+{0x00017A, 0x000179},
+{0x00017C, 0x00017B},
+{0x00017E, 0x00017D},
+{0x00017F, 0x000053},
+{0x000180, 0x000243},
+{0x000183, 0x000182},
+{0x000185, 0x000184},
+{0x000188, 0x000187},
+{0x00018C, 0x00018B},
+{0x000192, 0x000191},
+{0x000195, 0x0001F6},
+{0x000199, 0x000198},
+{0x00019A, 0x00023D},
+{0x00019E, 0x000220},
+{0x0001A1, 0x0001A0},
+{0x0001A3, 0x0001A2},
+{0x0001A5, 0x0001A4},
+{0x0001A8, 0x0001A7},
+{0x0001AD, 0x0001AC},
+{0x0001B0, 0x0001AF},
+{0x0001B4, 0x0001B3},
+{0x0001B6, 0x0001B5},
+{0x0001B9, 0x0001B8},
+{0x0001BD, 0x0001BC},
+{0x0001BF, 0x0001F7},
+{0x0001C5, 0x0001C4},
+{0x0001C6, 0x0001C4},
+{0x0001C8, 0x0001C7},
+{0x0001C9, 0x0001C7},
+{0x0001CB, 0x0001CA},
+{0x0001CC, 0x0001CA},
+{0x0001CE, 0x0001CD},
+{0x0001D0, 0x0001CF},
+{0x0001D2, 0x0001D1},
+{0x0001D4, 0x0001D3},
+{0x0001D6, 0x0001D5},
+{0x0001D8, 0x0001D7},
+{0x0001DA, 0x0001D9},
+{0x0001DC, 0x0001DB},
+{0x0001DD, 0x00018E},
+{0x0001DF, 0x0001DE},
+{0x0001E1, 0x0001E0},
+{0x0001E3, 0x0001E2},
+{0x0001E5, 0x0001E4},
+{0x0001E7, 0x0001E6},
+{0x0001E9, 0x0001E8},
+{0x0001EB, 0x0001EA},
+{0x0001ED, 0x0001EC},
+{0x0001EF, 0x0001EE},
+{0x0001F0, 0x00004A},
+{0x0001F2, 0x0001F1},
+{0x0001F3, 0x0001F1},
+{0x0001F5, 0x0001F4},
+{0x0001F9, 0x0001F8},
+{0x0001FB, 0x0001FA},
+{0x0001FD, 0x0001FC},
+{0x0001FF, 0x0001FE},
+{0x000201, 0x000200},
+{0x000203, 0x000202},
+{0x000205, 0x000204},
+{0x000207, 0x000206},
+{0x000209, 0x000208},
+{0x00020B, 0x00020A},
+{0x00020D, 0x00020C},
+{0x00020F, 0x00020E},
+{0x000211, 0x000210},
+{0x000213, 0x000212},
+{0x000215, 0x000214},
+{0x000217, 0x000216},
+{0x000219, 0x000218},
+{0x00021B, 0x00021A},
+{0x00021D, 0x00021C},
+{0x00021F, 0x00021E},
+{0x000223, 0x000222},
+{0x000225, 0x000224},
+{0x000227, 0x000226},
+{0x000229, 0x000228},
+{0x00022B, 0x00022A},
+{0x00022D, 0x00022C},
+{0x00022F, 0x00022E},
+{0x000231, 0x000230},
+{0x000233, 0x000232},
+{0x00023C, 0x00023B},
+{0x00023F, 0x002C7E},
+{0x000240, 0x002C7F},
+{0x000242, 0x000241},
+{0x000247, 0x000246},
+{0x000249, 0x000248},
+{0x00024B, 0x00024A},
+{0x00024D, 0x00024C},
+{0x00024F, 0x00024E},
+{0x000250, 0x002C6F},
+{0x000251, 0x002C6D},
+{0x000252, 0x002C70},
+{0x000253, 0x000181},
+{0x000254, 0x000186},
+{0x000256, 0x000189},
+{0x000257, 0x00018A},
+{0x000259, 0x00018F},
+{0x00025B, 0x000190},
+{0x00025C, 0x00A7AB},
+{0x000260, 0x000193},
+{0x000261, 0x00A7AC},
+{0x000263, 0x000194},
+{0x000265, 0x00A78D},
+{0x000266, 0x00A7AA},
+{0x000268, 0x000197},
+{0x000269, 0x000196},
+{0x00026A, 0x00A7AE},
+{0x00026B, 0x002C62},
+{0x00026C, 0x00A7AD},
+{0x00026F, 0x00019C},
+{0x000271, 0x002C6E},
+{0x000272, 0x00019D},
+{0x000275, 0x00019F},
+{0x00027D, 0x002C64},
+{0x000280, 0x0001A6},
+{0x000282, 0x00A7C5},
+{0x000283, 0x0001A9},
+{0x000287, 0x00A7B1},
+{0x000288, 0x0001AE},
+{0x000289, 0x000244},
+{0x00028A, 0x0001B1},
+{0x00028B, 0x0001B2},
+{0x00028C, 0x000245},
+{0x000292, 0x0001B7},
+{0x00029D, 0x00A7B2},
+{0x00029E, 0x00A7B0},
+{0x000345, 0x000399},
+{0x000371, 0x000370},
+{0x000373, 0x000372},
+{0x000377, 0x000376},
+{0x00037B, 0x0003FD},
+{0x00037C, 0x0003FE},
+{0x00037D, 0x0003FF},
+{0x000390, 0x000399},
+{0x0003AC, 0x000386},
+{0x0003AD, 0x000388},
+{0x0003AE, 0x000389},
+{0x0003AF, 0x00038A},
+{0x0003B0, 0x0003A5},
+{0x0003B1, 0x000391},
+{0x0003B2, 0x000392},
+{0x0003B3, 0x000393},
+{0x0003B4, 0x000394},
+{0x0003B5, 0x000395},
+{0x0003B6, 0x000396},
+{0x0003B7, 0x000397},
+{0x0003B8, 0x000398},
+{0x0003B9, 0x000399},
+{0x0003BA, 0x00039A},
+{0x0003BB, 0x00039B},
+{0x0003BC, 0x00039C},
+{0x0003BD, 0x00039D},
+{0x0003BE, 0x00039E},
+{0x0003BF, 0x00039F},
+{0x0003C0, 0x0003A0},
+{0x0003C1, 0x0003A1},
+{0x0003C2, 0x0003A3},
+{0x0003C3, 0x0003A3},
+{0x0003C4, 0x0003A4},
+{0x0003C5, 0x0003A5},
+{0x0003C6, 0x0003A6},
+{0x0003C7, 0x0003A7},
+{0x0003C8, 0x0003A8},
+{0x0003C9, 0x0003A9},
+{0x0003CA, 0x0003AA},
+{0x0003CB, 0x0003AB},
+{0x0003CC, 0x00038C},
+{0x0003CD, 0x00038E},
+{0x0003CE, 0x00038F},
+{0x0003D0, 0x000392},
+{0x0003D1, 0x000398},
+{0x0003D5, 0x0003A6},
+{0x0003D6, 0x0003A0},
+{0x0003D7, 0x0003CF},
+{0x0003D9, 0x0003D8},
+{0x0003DB, 0x0003DA},
+{0x0003DD, 0x0003DC},
+{0x0003DF, 0x0003DE},
+{0x0003E1, 0x0003E0},
+{0x0003E3, 0x0003E2},
+{0x0003E5, 0x0003E4},
+{0x0003E7, 0x0003E6},
+{0x0003E9, 0x0003E8},
+{0x0003EB, 0x0003EA},
+{0x0003ED, 0x0003EC},
+{0x0003EF, 0x0003EE},
+{0x0003F0, 0x00039A},
+{0x0003F1, 0x0003A1},
+{0x0003F2, 0x0003F9},
+{0x0003F3, 0x00037F},
+{0x0003F5, 0x000395},
+{0x0003F8, 0x0003F7},
+{0x0003FB, 0x0003FA},
+{0x000430, 0x000410},
+{0x000431, 0x000411},
+{0x000432, 0x000412},
+{0x000433, 0x000413},
+{0x000434, 0x000414},
+{0x000435, 0x000415},
+{0x000436, 0x000416},
+{0x000437, 0x000417},
+{0x000438, 0x000418},
+{0x000439, 0x000419},
+{0x00043A, 0x00041A},
+{0x00043B, 0x00041B},
+{0x00043C, 0x00041C},
+{0x00043D, 0x00041D},
+{0x00043E, 0x00041E},
+{0x00043F, 0x00041F},
+{0x000440, 0x000420},
+{0x000441, 0x000421},
+{0x000442, 0x000422},
+{0x000443, 0x000423},
+{0x000444, 0x000424},
+{0x000445, 0x000425},
+{0x000446, 0x000426},
+{0x000447, 0x000427},
+{0x000448, 0x000428},
+{0x000449, 0x000429},
+{0x00044A, 0x00042A},
+{0x00044B, 0x00042B},
+{0x00044C, 0x00042C},
+{0x00044D, 0x00042D},
+{0x00044E, 0x00042E},
+{0x00044F, 0x00042F},
+{0x000450, 0x000400},
+{0x000451, 0x000401},
+{0x000452, 0x000402},
+{0x000453, 0x000403},
+{0x000454, 0x000404},
+{0x000455, 0x000405},
+{0x000456, 0x000406},
+{0x000457, 0x000407},
+{0x000458, 0x000408},
+{0x000459, 0x000409},
+{0x00045A, 0x00040A},
+{0x00045B, 0x00040B},
+{0x00045C, 0x00040C},
+{0x00045D, 0x00040D},
+{0x00045E, 0x00040E},
+{0x00045F, 0x00040F},
+{0x000461, 0x000460},
+{0x000463, 0x000462},
+{0x000465, 0x000464},
+{0x000467, 0x000466},
+{0x000469, 0x000468},
+{0x00046B, 0x00046A},
+{0x00046D, 0x00046C},
+{0x00046F, 0x00046E},
+{0x000471, 0x000470},
+{0x000473, 0x000472},
+{0x000475, 0x000474},
+{0x000477, 0x000476},
+{0x000479, 0x000478},
+{0x00047B, 0x00047A},
+{0x00047D, 0x00047C},
+{0x00047F, 0x00047E},
+{0x000481, 0x000480},
+{0x00048B, 0x00048A},
+{0x00048D, 0x00048C},
+{0x00048F, 0x00048E},
+{0x000491, 0x000490},
+{0x000493, 0x000492},
+{0x000495, 0x000494},
+{0x000497, 0x000496},
+{0x000499, 0x000498},
+{0x00049B, 0x00049A},
+{0x00049D, 0x00049C},
+{0x00049F, 0x00049E},
+{0x0004A1, 0x0004A0},
+{0x0004A3, 0x0004A2},
+{0x0004A5, 0x0004A4},
+{0x0004A7, 0x0004A6},
+{0x0004A9, 0x0004A8},
+{0x0004AB, 0x0004AA},
+{0x0004AD, 0x0004AC},
+{0x0004AF, 0x0004AE},
+{0x0004B1, 0x0004B0},
+{0x0004B3, 0x0004B2},
+{0x0004B5, 0x0004B4},
+{0x0004B7, 0x0004B6},
+{0x0004B9, 0x0004B8},
+{0x0004BB, 0x0004BA},
+{0x0004BD, 0x0004BC},
+{0x0004BF, 0x0004BE},
+{0x0004C2, 0x0004C1},
+{0x0004C4, 0x0004C3},
+{0x0004C6, 0x0004C5},
+{0x0004C8, 0x0004C7},
+{0x0004CA, 0x0004C9},
+{0x0004CC, 0x0004CB},
+{0x0004CE, 0x0004CD},
+{0x0004CF, 0x0004C0},
+{0x0004D1, 0x0004D0},
+{0x0004D3, 0x0004D2},
+{0x0004D5, 0x0004D4},
+{0x0004D7, 0x0004D6},
+{0x0004D9, 0x0004D8},
+{0x0004DB, 0x0004DA},
+{0x0004DD, 0x0004DC},
+{0x0004DF, 0x0004DE},
+{0x0004E1, 0x0004E0},
+{0x0004E3, 0x0004E2},
+{0x0004E5, 0x0004E4},
+{0x0004E7, 0x0004E6},
+{0x0004E9, 0x0004E8},
+{0x0004EB, 0x0004EA},
+{0x0004ED, 0x0004EC},
+{0x0004EF, 0x0004EE},
+{0x0004F1, 0x0004F0},
+{0x0004F3, 0x0004F2},
+{0x0004F5, 0x0004F4},
+{0x0004F7, 0x0004F6},
+{0x0004F9, 0x0004F8},
+{0x0004FB, 0x0004FA},
+{0x0004FD, 0x0004FC},
+{0x0004FF, 0x0004FE},
+{0x000501, 0x000500},
+{0x000503, 0x000502},
+{0x000505, 0x000504},
+{0x000507, 0x000506},
+{0x000509, 0x000508},
+{0x00050B, 0x00050A},
+{0x00050D, 0x00050C},
+{0x00050F, 0x00050E},
+{0x000511, 0x000510},
+{0x000513, 0x000512},
+{0x000515, 0x000514},
+{0x000517, 0x000516},
+{0x000519, 0x000518},
+{0x00051B, 0x00051A},
+{0x00051D, 0x00051C},
+{0x00051F, 0x00051E},
+{0x000521, 0x000520},
+{0x000523, 0x000522},
+{0x000525, 0x000524},
+{0x000527, 0x000526},
+{0x000529, 0x000528},
+{0x00052B, 0x00052A},
+{0x00052D, 0x00052C},
+{0x00052F, 0x00052E},
+{0x000561, 0x000531},
+{0x000562, 0x000532},
+{0x000563, 0x000533},
+{0x000564, 0x000534},
+{0x000565, 0x000535},
+{0x000566, 0x000536},
+{0x000567, 0x000537},
+{0x000568, 0x000538},
+{0x000569, 0x000539},
+{0x00056A, 0x00053A},
+{0x00056B, 0x00053B},
+{0x00056C, 0x00053C},
+{0x00056D, 0x00053D},
+{0x00056E, 0x00053E},
+{0x00056F, 0x00053F},
+{0x000570, 0x000540},
+{0x000571, 0x000541},
+{0x000572, 0x000542},
+{0x000573, 0x000543},
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+{0x01E93B, 0x01E919},
+{0x01E93C, 0x01E91A},
+{0x01E93D, 0x01E91B},
+{0x01E93E, 0x01E91C},
+{0x01E93F, 0x01E91D},
+{0x01E940, 0x01E91E},
+{0x01E941, 0x01E91F},
+{0x01E942, 0x01E920},
+{0x01E943, 0x01E921},
 };
 
-const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_accent_mark = {
-{0x00000300, 0x0000036F}, {0x00000483, 0x00000489}, {0x00000591, 0x000005BD}, {0x000005BF, 0x000005BF},
-{0x000005C1, 0x000005C2}, {0x000005C4, 0x000005C5}, {0x000005C7, 0x000005C7}, {0x00000610, 0x0000061A},
-{0x0000064B, 0x0000065F}, {0x00000670, 0x00000670}, {0x000006D6, 0x000006DC}, {0x000006DF, 0x000006E4},
-{0x000006E7, 0x000006E8}, {0x000006EA, 0x000006ED}, {0x00000711, 0x00000711}, {0x00000730, 0x0000074A},
-{0x000007A6, 0x000007B0}, {0x000007EB, 0x000007F3}, {0x000007FD, 0x000007FD}, {0x00000816, 0x00000819},
-{0x0000081B, 0x00000823}, {0x00000825, 0x00000827}, {0x00000829, 0x0000082D}, {0x00000859, 0x0000085B},
-{0x00000898, 0x0000089F}, {0x000008CA, 0x000008E1}, {0x000008E3, 0x00000903}, {0x0000093A, 0x0000093C},
-{0x0000093E, 0x0000094F}, {0x00000951, 0x00000957}, {0x00000962, 0x00000963}, {0x00000981, 0x00000983},
-{0x000009BC, 0x000009BC}, {0x000009BE, 0x000009C4}, {0x000009C7, 0x000009C8}, {0x000009CB, 0x000009CD},
-{0x000009D7, 0x000009D7}, {0x000009E2, 0x000009E3}, {0x000009FE, 0x000009FE}, {0x00000A01, 0x00000A03},
-{0x00000A3C, 0x00000A3C}, {0x00000A3E, 0x00000A42}, {0x00000A47, 0x00000A48}, {0x00000A4B, 0x00000A4D},
-{0x00000A51, 0x00000A51}, {0x00000A70, 0x00000A71}, {0x00000A75, 0x00000A75}, {0x00000A81, 0x00000A83},
-{0x00000ABC, 0x00000ABC}, {0x00000ABE, 0x00000AC5}, {0x00000AC7, 0x00000AC9}, {0x00000ACB, 0x00000ACD},
-{0x00000AE2, 0x00000AE3}, {0x00000AFA, 0x00000AFF}, {0x00000B01, 0x00000B03}, {0x00000B3C, 0x00000B3C},
-{0x00000B3E, 0x00000B44}, {0x00000B47, 0x00000B48}, {0x00000B4B, 0x00000B4D}, {0x00000B55, 0x00000B57},
-{0x00000B62, 0x00000B63}, {0x00000B82, 0x00000B82}, {0x00000BBE, 0x00000BC2}, {0x00000BC6, 0x00000BC8},
-{0x00000BCA, 0x00000BCD}, {0x00000BD7, 0x00000BD7}, {0x00000C00, 0x00000C04}, {0x00000C3C, 0x00000C3C},
-{0x00000C3E, 0x00000C44}, {0x00000C46, 0x00000C48}, {0x00000C4A, 0x00000C4D}, {0x00000C55, 0x00000C56},
-{0x00000C62, 0x00000C63}, {0x00000C81, 0x00000C83}, {0x00000CBC, 0x00000CBC}, {0x00000CBE, 0x00000CC4},
-{0x00000CC6, 0x00000CC8}, {0x00000CCA, 0x00000CCD}, {0x00000CD5, 0x00000CD6}, {0x00000CE2, 0x00000CE3},
-{0x00000CF3, 0x00000CF3}, {0x00000D00, 0x00000D03}, {0x00000D3B, 0x00000D3C}, {0x00000D3E, 0x00000D44},
-{0x00000D46, 0x00000D48}, {0x00000D4A, 0x00000D4D}, {0x00000D57, 0x00000D57}, {0x00000D62, 0x00000D63},
-{0x00000D81, 0x00000D83}, {0x00000DCA, 0x00000DCA}, {0x00000DCF, 0x00000DD4}, {0x00000DD6, 0x00000DD6},
-{0x00000DD8, 0x00000DDF}, {0x00000DF2, 0x00000DF3}, {0x00000E31, 0x00000E31}, {0x00000E34, 0x00000E3A},
-{0x00000E47, 0x00000E4E}, {0x00000EB1, 0x00000EB1}, {0x00000EB4, 0x00000EBC}, {0x00000EC8, 0x00000ECE},
-{0x00000F18, 0x00000F19}, {0x00000F35, 0x00000F35}, {0x00000F37, 0x00000F37}, {0x00000F39, 0x00000F39},
-{0x00000F3E, 0x00000F3F}, {0x00000F71, 0x00000F84}, {0x00000F86, 0x00000F87}, {0x00000F8D, 0x00000F97},
-{0x00000F99, 0x00000FBC}, {0x00000FC6, 0x00000FC6}, {0x0000102B, 0x0000103E}, {0x00001056, 0x00001059},
-{0x0000105E, 0x00001060}, {0x00001062, 0x00001064}, {0x00001067, 0x0000106D}, {0x00001071, 0x00001074},
-{0x00001082, 0x0000108D}, {0x0000108F, 0x0000108F}, {0x0000109A, 0x0000109D}, {0x0000135D, 0x0000135F},
-{0x00001712, 0x00001715}, {0x00001732, 0x00001734}, {0x00001752, 0x00001753}, {0x00001772, 0x00001773},
-{0x000017B4, 0x000017D3}, {0x000017DD, 0x000017DD}, {0x0000180B, 0x0000180D}, {0x0000180F, 0x0000180F},
-{0x00001885, 0x00001886}, {0x000018A9, 0x000018A9}, {0x00001920, 0x0000192B}, {0x00001930, 0x0000193B},
-{0x00001A17, 0x00001A1B}, {0x00001A55, 0x00001A5E}, {0x00001A60, 0x00001A7C}, {0x00001A7F, 0x00001A7F},
-{0x00001AB0, 0x00001ACE}, {0x00001B00, 0x00001B04}, {0x00001B34, 0x00001B44}, {0x00001B6B, 0x00001B73},
-{0x00001B80, 0x00001B82}, {0x00001BA1, 0x00001BAD}, {0x00001BE6, 0x00001BF3}, {0x00001C24, 0x00001C37},
-{0x00001CD0, 0x00001CD2}, {0x00001CD4, 0x00001CE8}, {0x00001CED, 0x00001CED}, {0x00001CF4, 0x00001CF4},
-{0x00001CF7, 0x00001CF9}, {0x00001DC0, 0x00001DFF}, {0x000020D0, 0x000020F0}, {0x00002CEF, 0x00002CF1},
-{0x00002D7F, 0x00002D7F}, {0x00002DE0, 0x00002DFF}, {0x0000302A, 0x0000302F}, {0x00003099, 0x0000309A},
-{0x0000A66F, 0x0000A672}, {0x0000A674, 0x0000A67D}, {0x0000A69E, 0x0000A69F}, {0x0000A6F0, 0x0000A6F1},
-{0x0000A802, 0x0000A802}, {0x0000A806, 0x0000A806}, {0x0000A80B, 0x0000A80B}, {0x0000A823, 0x0000A827},
-{0x0000A82C, 0x0000A82C}, {0x0000A880, 0x0000A881}, {0x0000A8B4, 0x0000A8C5}, {0x0000A8E0, 0x0000A8F1},
-{0x0000A8FF, 0x0000A8FF}, {0x0000A926, 0x0000A92D}, {0x0000A947, 0x0000A953}, {0x0000A980, 0x0000A983},
-{0x0000A9B3, 0x0000A9C0}, {0x0000A9E5, 0x0000A9E5}, {0x0000AA29, 0x0000AA36}, {0x0000AA43, 0x0000AA43},
-{0x0000AA4C, 0x0000AA4D}, {0x0000AA7B, 0x0000AA7D}, {0x0000AAB0, 0x0000AAB0}, {0x0000AAB2, 0x0000AAB4},
-{0x0000AAB7, 0x0000AAB8}, {0x0000AABE, 0x0000AABF}, {0x0000AAC1, 0x0000AAC1}, {0x0000AAEB, 0x0000AAEF},
-{0x0000AAF5, 0x0000AAF6}, {0x0000ABE3, 0x0000ABEA}, {0x0000ABEC, 0x0000ABED}, {0x0000FB1E, 0x0000FB1E},
-{0x0000FE00, 0x0000FE0F}, {0x0000FE20, 0x0000FE2F}, {0x000101FD, 0x000101FD}, {0x000102E0, 0x000102E0},
-{0x00010376, 0x0001037A}, {0x00010A01, 0x00010A03}, {0x00010A05, 0x00010A06}, {0x00010A0C, 0x00010A0F},
-{0x00010A38, 0x00010A3A}, {0x00010A3F, 0x00010A3F}, {0x00010AE5, 0x00010AE6}, {0x00010D24, 0x00010D27},
-{0x00010EAB, 0x00010EAC}, {0x00010EFD, 0x00010EFF}, {0x00010F46, 0x00010F50}, {0x00010F82, 0x00010F85},
-{0x00011000, 0x00011002}, {0x00011038, 0x00011046}, {0x00011070, 0x00011070}, {0x00011073, 0x00011074},
-{0x0001107F, 0x00011082}, {0x000110B0, 0x000110BA}, {0x000110C2, 0x000110C2}, {0x00011100, 0x00011102},
-{0x00011127, 0x00011134}, {0x00011145, 0x00011146}, {0x00011173, 0x00011173}, {0x00011180, 0x00011182},
-{0x000111B3, 0x000111C0}, {0x000111C9, 0x000111CC}, {0x000111CE, 0x000111CF}, {0x0001122C, 0x00011237},
-{0x0001123E, 0x0001123E}, {0x00011241, 0x00011241}, {0x000112DF, 0x000112EA}, {0x00011300, 0x00011303},
-{0x0001133B, 0x0001133C}, {0x0001133E, 0x00011344}, {0x00011347, 0x00011348}, {0x0001134B, 0x0001134D},
-{0x00011357, 0x00011357}, {0x00011362, 0x00011363}, {0x00011366, 0x0001136C}, {0x00011370, 0x00011374},
-{0x00011435, 0x00011446}, {0x0001145E, 0x0001145E}, {0x000114B0, 0x000114C3}, {0x000115AF, 0x000115B5},
-{0x000115B8, 0x000115C0}, {0x000115DC, 0x000115DD}, {0x00011630, 0x00011640}, {0x000116AB, 0x000116B7},
-{0x0001171D, 0x0001172B}, {0x0001182C, 0x0001183A}, {0x00011930, 0x00011935}, {0x00011937, 0x00011938},
-{0x0001193B, 0x0001193E}, {0x00011940, 0x00011940}, {0x00011942, 0x00011943}, {0x000119D1, 0x000119D7},
-{0x000119DA, 0x000119E0}, {0x000119E4, 0x000119E4}, {0x00011A01, 0x00011A0A}, {0x00011A33, 0x00011A39},
-{0x00011A3B, 0x00011A3E}, {0x00011A47, 0x00011A47}, {0x00011A51, 0x00011A5B}, {0x00011A8A, 0x00011A99},
-{0x00011C2F, 0x00011C36}, {0x00011C38, 0x00011C3F}, {0x00011C92, 0x00011CA7}, {0x00011CA9, 0x00011CB6},
-{0x00011D31, 0x00011D36}, {0x00011D3A, 0x00011D3A}, {0x00011D3C, 0x00011D3D}, {0x00011D3F, 0x00011D45},
-{0x00011D47, 0x00011D47}, {0x00011D8A, 0x00011D8E}, {0x00011D90, 0x00011D91}, {0x00011D93, 0x00011D97},
-{0x00011EF3, 0x00011EF6}, {0x00011F00, 0x00011F01}, {0x00011F03, 0x00011F03}, {0x00011F34, 0x00011F3A},
-{0x00011F3E, 0x00011F42}, {0x00013440, 0x00013440}, {0x00013447, 0x00013455}, {0x00016AF0, 0x00016AF4},
-{0x00016B30, 0x00016B36}, {0x00016F4F, 0x00016F4F}, {0x00016F51, 0x00016F87}, {0x00016F8F, 0x00016F92},
-{0x00016FE4, 0x00016FE4}, {0x00016FF0, 0x00016FF1}, {0x0001BC9D, 0x0001BC9E}, {0x0001CF00, 0x0001CF2D},
-{0x0001CF30, 0x0001CF46}, {0x0001D165, 0x0001D169}, {0x0001D16D, 0x0001D172}, {0x0001D17B, 0x0001D182},
-{0x0001D185, 0x0001D18B}, {0x0001D1AA, 0x0001D1AD}, {0x0001D242, 0x0001D244}, {0x0001DA00, 0x0001DA36},
-{0x0001DA3B, 0x0001DA6C}, {0x0001DA75, 0x0001DA75}, {0x0001DA84, 0x0001DA84}, {0x0001DA9B, 0x0001DA9F},
-{0x0001DAA1, 0x0001DAAF}, {0x0001E000, 0x0001E006}, {0x0001E008, 0x0001E018}, {0x0001E01B, 0x0001E021},
-{0x0001E023, 0x0001E024}, {0x0001E026, 0x0001E02A}, {0x0001E08F, 0x0001E08F}, {0x0001E130, 0x0001E136},
-{0x0001E2AE, 0x0001E2AE}, {0x0001E2EC, 0x0001E2EF}, {0x0001E4EC, 0x0001E4EF}, {0x0001E8D0, 0x0001E8D6},
-{0x0001E944, 0x0001E94A}, {0x000E0100, 0x000E01EF},
+const std::vector<range_nfd> unicode_ranges_nfd = {  // start, last, nfd
+{0x000000, 0x000000, 0x000000},
+{0x0000C0, 0x0000C5, 0x000041},
+{0x0000C7, 0x0000C7, 0x000043},
+{0x0000C8, 0x0000CB, 0x000045},
+{0x0000CC, 0x0000CF, 0x000049},
+{0x0000D1, 0x0000D1, 0x00004E},
+{0x0000D2, 0x0000D6, 0x00004F},
+{0x0000D9, 0x0000DC, 0x000055},
+{0x0000DD, 0x0000DD, 0x000059},
+{0x0000E0, 0x0000E5, 0x000061},
+{0x0000E7, 0x0000E7, 0x000063},
+{0x0000E8, 0x0000EB, 0x000065},
+{0x0000EC, 0x0000EF, 0x000069},
+{0x0000F1, 0x0000F1, 0x00006E},
+{0x0000F2, 0x0000F6, 0x00006F},
+{0x0000F9, 0x0000FC, 0x000075},
+{0x0000FD, 0x0000FD, 0x000079},
+{0x0000FF, 0x0000FF, 0x000079},
+{0x000100, 0x000100, 0x000041},
+{0x000101, 0x000101, 0x000061},
+{0x000102, 0x000102, 0x000041},
+{0x000103, 0x000103, 0x000061},
+{0x000104, 0x000104, 0x000041},
+{0x000105, 0x000105, 0x000061},
+{0x000106, 0x000106, 0x000043},
+{0x000107, 0x000107, 0x000063},
+{0x000108, 0x000108, 0x000043},
+{0x000109, 0x000109, 0x000063},
+{0x00010A, 0x00010A, 0x000043},
+{0x00010B, 0x00010B, 0x000063},
+{0x00010C, 0x00010C, 0x000043},
+{0x00010D, 0x00010D, 0x000063},
+{0x00010E, 0x00010E, 0x000044},
+{0x00010F, 0x00010F, 0x000064},
+{0x000112, 0x000112, 0x000045},
+{0x000113, 0x000113, 0x000065},
+{0x000114, 0x000114, 0x000045},
+{0x000115, 0x000115, 0x000065},
+{0x000116, 0x000116, 0x000045},
+{0x000117, 0x000117, 0x000065},
+{0x000118, 0x000118, 0x000045},
+{0x000119, 0x000119, 0x000065},
+{0x00011A, 0x00011A, 0x000045},
+{0x00011B, 0x00011B, 0x000065},
+{0x00011C, 0x00011C, 0x000047},
+{0x00011D, 0x00011D, 0x000067},
+{0x00011E, 0x00011E, 0x000047},
+{0x00011F, 0x00011F, 0x000067},
+{0x000120, 0x000120, 0x000047},
+{0x000121, 0x000121, 0x000067},
+{0x000122, 0x000122, 0x000047},
+{0x000123, 0x000123, 0x000067},
+{0x000124, 0x000124, 0x000048},
+{0x000125, 0x000125, 0x000068},
+{0x000128, 0x000128, 0x000049},
+{0x000129, 0x000129, 0x000069},
+{0x00012A, 0x00012A, 0x000049},
+{0x00012B, 0x00012B, 0x000069},
+{0x00012C, 0x00012C, 0x000049},
+{0x00012D, 0x00012D, 0x000069},
+{0x00012E, 0x00012E, 0x000049},
+{0x00012F, 0x00012F, 0x000069},
+{0x000130, 0x000130, 0x000049},
+{0x000134, 0x000134, 0x00004A},
+{0x000135, 0x000135, 0x00006A},
+{0x000136, 0x000136, 0x00004B},
+{0x000137, 0x000137, 0x00006B},
+{0x000139, 0x000139, 0x00004C},
+{0x00013A, 0x00013A, 0x00006C},
+{0x00013B, 0x00013B, 0x00004C},
+{0x00013C, 0x00013C, 0x00006C},
+{0x00013D, 0x00013D, 0x00004C},
+{0x00013E, 0x00013E, 0x00006C},
+{0x000143, 0x000143, 0x00004E},
+{0x000144, 0x000144, 0x00006E},
+{0x000145, 0x000145, 0x00004E},
+{0x000146, 0x000146, 0x00006E},
+{0x000147, 0x000147, 0x00004E},
+{0x000148, 0x000148, 0x00006E},
+{0x00014C, 0x00014C, 0x00004F},
+{0x00014D, 0x00014D, 0x00006F},
+{0x00014E, 0x00014E, 0x00004F},
+{0x00014F, 0x00014F, 0x00006F},
+{0x000150, 0x000150, 0x00004F},
+{0x000151, 0x000151, 0x00006F},
+{0x000154, 0x000154, 0x000052},
+{0x000155, 0x000155, 0x000072},
+{0x000156, 0x000156, 0x000052},
+{0x000157, 0x000157, 0x000072},
+{0x000158, 0x000158, 0x000052},
+{0x000159, 0x000159, 0x000072},
+{0x00015A, 0x00015A, 0x000053},
+{0x00015B, 0x00015B, 0x000073},
+{0x00015C, 0x00015C, 0x000053},
+{0x00015D, 0x00015D, 0x000073},
+{0x00015E, 0x00015E, 0x000053},
+{0x00015F, 0x00015F, 0x000073},
+{0x000160, 0x000160, 0x000053},
+{0x000161, 0x000161, 0x000073},
+{0x000162, 0x000162, 0x000054},
+{0x000163, 0x000163, 0x000074},
+{0x000164, 0x000164, 0x000054},
+{0x000165, 0x000165, 0x000074},
+{0x000168, 0x000168, 0x000055},
+{0x000169, 0x000169, 0x000075},
+{0x00016A, 0x00016A, 0x000055},
+{0x00016B, 0x00016B, 0x000075},
+{0x00016C, 0x00016C, 0x000055},
+{0x00016D, 0x00016D, 0x000075},
+{0x00016E, 0x00016E, 0x000055},
+{0x00016F, 0x00016F, 0x000075},
+{0x000170, 0x000170, 0x000055},
+{0x000171, 0x000171, 0x000075},
+{0x000172, 0x000172, 0x000055},
+{0x000173, 0x000173, 0x000075},
+{0x000174, 0x000174, 0x000057},
+{0x000175, 0x000175, 0x000077},
+{0x000176, 0x000176, 0x000059},
+{0x000177, 0x000177, 0x000079},
+{0x000178, 0x000178, 0x000059},
+{0x000179, 0x000179, 0x00005A},
+{0x00017A, 0x00017A, 0x00007A},
+{0x00017B, 0x00017B, 0x00005A},
+{0x00017C, 0x00017C, 0x00007A},
+{0x00017D, 0x00017D, 0x00005A},
+{0x00017E, 0x00017E, 0x00007A},
+{0x0001A0, 0x0001A0, 0x00004F},
+{0x0001A1, 0x0001A1, 0x00006F},
+{0x0001AF, 0x0001AF, 0x000055},
+{0x0001B0, 0x0001B0, 0x000075},
+{0x0001CD, 0x0001CD, 0x000041},
+{0x0001CE, 0x0001CE, 0x000061},
+{0x0001CF, 0x0001CF, 0x000049},
+{0x0001D0, 0x0001D0, 0x000069},
+{0x0001D1, 0x0001D1, 0x00004F},
+{0x0001D2, 0x0001D2, 0x00006F},
+{0x0001D3, 0x0001D3, 0x000055},
+{0x0001D4, 0x0001D4, 0x000075},
+{0x0001D5, 0x0001D5, 0x000055},
+{0x0001D6, 0x0001D6, 0x000075},
+{0x0001D7, 0x0001D7, 0x000055},
+{0x0001D8, 0x0001D8, 0x000075},
+{0x0001D9, 0x0001D9, 0x000055},
+{0x0001DA, 0x0001DA, 0x000075},
+{0x0001DB, 0x0001DB, 0x000055},
+{0x0001DC, 0x0001DC, 0x000075},
+{0x0001DE, 0x0001DE, 0x000041},
+{0x0001DF, 0x0001DF, 0x000061},
+{0x0001E0, 0x0001E0, 0x000041},
+{0x0001E1, 0x0001E1, 0x000061},
+{0x0001E2, 0x0001E2, 0x0000C6},
+{0x0001E3, 0x0001E3, 0x0000E6},
+{0x0001E6, 0x0001E6, 0x000047},
+{0x0001E7, 0x0001E7, 0x000067},
+{0x0001E8, 0x0001E8, 0x00004B},
+{0x0001E9, 0x0001E9, 0x00006B},
+{0x0001EA, 0x0001EA, 0x00004F},
+{0x0001EB, 0x0001EB, 0x00006F},
+{0x0001EC, 0x0001EC, 0x00004F},
+{0x0001ED, 0x0001ED, 0x00006F},
+{0x0001EE, 0x0001EE, 0x0001B7},
+{0x0001EF, 0x0001EF, 0x000292},
+{0x0001F0, 0x0001F0, 0x00006A},
+{0x0001F4, 0x0001F4, 0x000047},
+{0x0001F5, 0x0001F5, 0x000067},
+{0x0001F8, 0x0001F8, 0x00004E},
+{0x0001F9, 0x0001F9, 0x00006E},
+{0x0001FA, 0x0001FA, 0x000041},
+{0x0001FB, 0x0001FB, 0x000061},
+{0x0001FC, 0x0001FC, 0x0000C6},
+{0x0001FD, 0x0001FD, 0x0000E6},
+{0x0001FE, 0x0001FE, 0x0000D8},
+{0x0001FF, 0x0001FF, 0x0000F8},
+{0x000200, 0x000200, 0x000041},
+{0x000201, 0x000201, 0x000061},
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+{0x02F942, 0x02F942, 0x0250F2},
+{0x02F943, 0x02F943, 0x025119},
+{0x02F944, 0x02F944, 0x025133},
+{0x02F945, 0x02F945, 0x00771E},
+{0x02F946, 0x02F947, 0x00771F},
+{0x02F948, 0x02F948, 0x00774A},
+{0x02F949, 0x02F949, 0x004039},
+{0x02F94A, 0x02F94A, 0x00778B},
+{0x02F94B, 0x02F94B, 0x004046},
+{0x02F94C, 0x02F94C, 0x004096},
+{0x02F94D, 0x02F94D, 0x02541D},
+{0x02F94E, 0x02F94E, 0x00784E},
+{0x02F94F, 0x02F94F, 0x00788C},
+{0x02F950, 0x02F950, 0x0078CC},
+{0x02F951, 0x02F951, 0x0040E3},
+{0x02F952, 0x02F952, 0x025626},
+{0x02F953, 0x02F953, 0x007956},
+{0x02F954, 0x02F954, 0x02569A},
+{0x02F955, 0x02F955, 0x0256C5},
+{0x02F956, 0x02F956, 0x00798F},
+{0x02F957, 0x02F957, 0x0079EB},
+{0x02F958, 0x02F958, 0x00412F},
+{0x02F959, 0x02F959, 0x007A40},
+{0x02F95A, 0x02F95A, 0x007A4A},
+{0x02F95B, 0x02F95B, 0x007A4F},
+{0x02F95C, 0x02F95C, 0x02597C},
+{0x02F95D, 0x02F95E, 0x025AA7},
+{0x02F95F, 0x02F95F, 0x007AEE},
+{0x02F960, 0x02F960, 0x004202},
+{0x02F961, 0x02F961, 0x025BAB},
+{0x02F962, 0x02F962, 0x007BC6},
+{0x02F963, 0x02F963, 0x007BC9},
+{0x02F964, 0x02F964, 0x004227},
+{0x02F965, 0x02F965, 0x025C80},
+{0x02F966, 0x02F966, 0x007CD2},
+{0x02F967, 0x02F967, 0x0042A0},
+{0x02F968, 0x02F968, 0x007CE8},
+{0x02F969, 0x02F969, 0x007CE3},
+{0x02F96A, 0x02F96A, 0x007D00},
+{0x02F96B, 0x02F96B, 0x025F86},
+{0x02F96C, 0x02F96C, 0x007D63},
+{0x02F96D, 0x02F96D, 0x004301},
+{0x02F96E, 0x02F96E, 0x007DC7},
+{0x02F96F, 0x02F96F, 0x007E02},
+{0x02F970, 0x02F970, 0x007E45},
+{0x02F971, 0x02F971, 0x004334},
+{0x02F972, 0x02F972, 0x026228},
+{0x02F973, 0x02F973, 0x026247},
+{0x02F974, 0x02F974, 0x004359},
+{0x02F975, 0x02F975, 0x0262D9},
+{0x02F976, 0x02F976, 0x007F7A},
+{0x02F977, 0x02F977, 0x02633E},
+{0x02F978, 0x02F978, 0x007F95},
+{0x02F979, 0x02F979, 0x007FFA},
+{0x02F97A, 0x02F97A, 0x008005},
+{0x02F97B, 0x02F97B, 0x0264DA},
+{0x02F97C, 0x02F97C, 0x026523},
+{0x02F97D, 0x02F97D, 0x008060},
+{0x02F97E, 0x02F97E, 0x0265A8},
+{0x02F97F, 0x02F97F, 0x008070},
+{0x02F980, 0x02F980, 0x02335F},
+{0x02F981, 0x02F981, 0x0043D5},
+{0x02F982, 0x02F982, 0x0080B2},
+{0x02F983, 0x02F983, 0x008103},
+{0x02F984, 0x02F984, 0x00440B},
+{0x02F985, 0x02F985, 0x00813E},
+{0x02F986, 0x02F986, 0x005AB5},
+{0x02F987, 0x02F987, 0x0267A7},
+{0x02F988, 0x02F988, 0x0267B5},
+{0x02F989, 0x02F989, 0x023393},
+{0x02F98A, 0x02F98A, 0x02339C},
+{0x02F98B, 0x02F98B, 0x008201},
+{0x02F98C, 0x02F98C, 0x008204},
+{0x02F98D, 0x02F98D, 0x008F9E},
+{0x02F98E, 0x02F98E, 0x00446B},
+{0x02F98F, 0x02F98F, 0x008291},
+{0x02F990, 0x02F990, 0x00828B},
+{0x02F991, 0x02F991, 0x00829D},
+{0x02F992, 0x02F992, 0x0052B3},
+{0x02F993, 0x02F993, 0x0082B1},
+{0x02F994, 0x02F994, 0x0082B3},
+{0x02F995, 0x02F995, 0x0082BD},
+{0x02F996, 0x02F996, 0x0082E6},
+{0x02F997, 0x02F997, 0x026B3C},
+{0x02F998, 0x02F998, 0x0082E5},
+{0x02F999, 0x02F999, 0x00831D},
+{0x02F99A, 0x02F99A, 0x008363},
+{0x02F99B, 0x02F99B, 0x0083AD},
+{0x02F99C, 0x02F99C, 0x008323},
+{0x02F99D, 0x02F99D, 0x0083BD},
+{0x02F99E, 0x02F99E, 0x0083E7},
+{0x02F99F, 0x02F99F, 0x008457},
+{0x02F9A0, 0x02F9A0, 0x008353},
+{0x02F9A1, 0x02F9A1, 0x0083CA},
+{0x02F9A2, 0x02F9A2, 0x0083CC},
+{0x02F9A3, 0x02F9A3, 0x0083DC},
+{0x02F9A4, 0x02F9A4, 0x026C36},
+{0x02F9A5, 0x02F9A5, 0x026D6B},
+{0x02F9A6, 0x02F9A6, 0x026CD5},
+{0x02F9A7, 0x02F9A7, 0x00452B},
+{0x02F9A8, 0x02F9A8, 0x0084F1},
+{0x02F9A9, 0x02F9A9, 0x0084F3},
+{0x02F9AA, 0x02F9AA, 0x008516},
+{0x02F9AB, 0x02F9AB, 0x0273CA},
+{0x02F9AC, 0x02F9AC, 0x008564},
+{0x02F9AD, 0x02F9AD, 0x026F2C},
+{0x02F9AE, 0x02F9AE, 0x00455D},
+{0x02F9AF, 0x02F9AF, 0x004561},
+{0x02F9B0, 0x02F9B0, 0x026FB1},
+{0x02F9B1, 0x02F9B1, 0x0270D2},
+{0x02F9B2, 0x02F9B2, 0x00456B},
+{0x02F9B3, 0x02F9B3, 0x008650},
+{0x02F9B4, 0x02F9B4, 0x00865C},
+{0x02F9B5, 0x02F9B5, 0x008667},
+{0x02F9B6, 0x02F9B6, 0x008669},
+{0x02F9B7, 0x02F9B7, 0x0086A9},
+{0x02F9B8, 0x02F9B8, 0x008688},
+{0x02F9B9, 0x02F9B9, 0x00870E},
+{0x02F9BA, 0x02F9BA, 0x0086E2},
+{0x02F9BB, 0x02F9BB, 0x008779},
+{0x02F9BC, 0x02F9BC, 0x008728},
+{0x02F9BD, 0x02F9BD, 0x00876B},
+{0x02F9BE, 0x02F9BE, 0x008786},
+{0x02F9BF, 0x02F9BF, 0x0045D7},
+{0x02F9C0, 0x02F9C0, 0x0087E1},
+{0x02F9C1, 0x02F9C1, 0x008801},
+{0x02F9C2, 0x02F9C2, 0x0045F9},
+{0x02F9C3, 0x02F9C3, 0x008860},
+{0x02F9C4, 0x02F9C4, 0x008863},
+{0x02F9C5, 0x02F9C5, 0x027667},
+{0x02F9C6, 0x02F9C6, 0x0088D7},
+{0x02F9C7, 0x02F9C7, 0x0088DE},
+{0x02F9C8, 0x02F9C8, 0x004635},
+{0x02F9C9, 0x02F9C9, 0x0088FA},
+{0x02F9CA, 0x02F9CA, 0x0034BB},
+{0x02F9CB, 0x02F9CB, 0x0278AE},
+{0x02F9CC, 0x02F9CC, 0x027966},
+{0x02F9CD, 0x02F9CD, 0x0046BE},
+{0x02F9CE, 0x02F9CE, 0x0046C7},
+{0x02F9CF, 0x02F9CF, 0x008AA0},
+{0x02F9D0, 0x02F9D0, 0x008AED},
+{0x02F9D1, 0x02F9D1, 0x008B8A},
+{0x02F9D2, 0x02F9D2, 0x008C55},
+{0x02F9D3, 0x02F9D3, 0x027CA8},
+{0x02F9D4, 0x02F9D4, 0x008CAB},
+{0x02F9D5, 0x02F9D5, 0x008CC1},
+{0x02F9D6, 0x02F9D6, 0x008D1B},
+{0x02F9D7, 0x02F9D7, 0x008D77},
+{0x02F9D8, 0x02F9D8, 0x027F2F},
+{0x02F9D9, 0x02F9D9, 0x020804},
+{0x02F9DA, 0x02F9DA, 0x008DCB},
+{0x02F9DB, 0x02F9DB, 0x008DBC},
+{0x02F9DC, 0x02F9DC, 0x008DF0},
+{0x02F9DD, 0x02F9DD, 0x0208DE},
+{0x02F9DE, 0x02F9DE, 0x008ED4},
+{0x02F9DF, 0x02F9DF, 0x008F38},
+{0x02F9E0, 0x02F9E0, 0x0285D2},
+{0x02F9E1, 0x02F9E1, 0x0285ED},
+{0x02F9E2, 0x02F9E2, 0x009094},
+{0x02F9E3, 0x02F9E3, 0x0090F1},
+{0x02F9E4, 0x02F9E4, 0x009111},
+{0x02F9E5, 0x02F9E5, 0x02872E},
+{0x02F9E6, 0x02F9E6, 0x00911B},
+{0x02F9E7, 0x02F9E7, 0x009238},
+{0x02F9E8, 0x02F9E8, 0x0092D7},
+{0x02F9E9, 0x02F9E9, 0x0092D8},
+{0x02F9EA, 0x02F9EA, 0x00927C},
+{0x02F9EB, 0x02F9EB, 0x0093F9},
+{0x02F9EC, 0x02F9EC, 0x009415},
+{0x02F9ED, 0x02F9ED, 0x028BFA},
+{0x02F9EE, 0x02F9EE, 0x00958B},
+{0x02F9EF, 0x02F9EF, 0x004995},
+{0x02F9F0, 0x02F9F0, 0x0095B7},
+{0x02F9F1, 0x02F9F1, 0x028D77},
+{0x02F9F2, 0x02F9F2, 0x0049E6},
+{0x02F9F3, 0x02F9F3, 0x0096C3},
+{0x02F9F4, 0x02F9F4, 0x005DB2},
+{0x02F9F5, 0x02F9F5, 0x009723},
+{0x02F9F6, 0x02F9F6, 0x029145},
+{0x02F9F7, 0x02F9F7, 0x02921A},
+{0x02F9F8, 0x02F9F8, 0x004A6E},
+{0x02F9F9, 0x02F9F9, 0x004A76},
+{0x02F9FA, 0x02F9FA, 0x0097E0},
+{0x02F9FB, 0x02F9FB, 0x02940A},
+{0x02F9FC, 0x02F9FC, 0x004AB2},
+{0x02F9FD, 0x02F9FD, 0x029496},
+{0x02F9FE, 0x02F9FF, 0x00980B},
+{0x02FA00, 0x02FA00, 0x009829},
+{0x02FA01, 0x02FA01, 0x0295B6},
+{0x02FA02, 0x02FA02, 0x0098E2},
+{0x02FA03, 0x02FA03, 0x004B33},
+{0x02FA04, 0x02FA04, 0x009929},
+{0x02FA05, 0x02FA05, 0x0099A7},
+{0x02FA06, 0x02FA06, 0x0099C2},
+{0x02FA07, 0x02FA07, 0x0099FE},
+{0x02FA08, 0x02FA08, 0x004BCE},
+{0x02FA09, 0x02FA09, 0x029B30},
+{0x02FA0A, 0x02FA0A, 0x009B12},
+{0x02FA0B, 0x02FA0B, 0x009C40},
+{0x02FA0C, 0x02FA0C, 0x009CFD},
+{0x02FA0D, 0x02FA0D, 0x004CCE},
+{0x02FA0E, 0x02FA0E, 0x004CED},
+{0x02FA0F, 0x02FA0F, 0x009D67},
+{0x02FA10, 0x02FA10, 0x02A0CE},
+{0x02FA11, 0x02FA11, 0x004CF8},
+{0x02FA12, 0x02FA12, 0x02A105},
+{0x02FA13, 0x02FA13, 0x02A20E},
+{0x02FA14, 0x02FA14, 0x02A291},
+{0x02FA15, 0x02FA15, 0x009EBB},
+{0x02FA16, 0x02FA16, 0x004D56},
+{0x02FA17, 0x02FA17, 0x009EF9},
+{0x02FA18, 0x02FA18, 0x009EFE},
+{0x02FA19, 0x02FA19, 0x009F05},
+{0x02FA1A, 0x02FA1A, 0x009F0F},
+{0x02FA1B, 0x02FA1B, 0x009F16},
+{0x02FA1C, 0x02FA1C, 0x009F3B},
+{0x02FA1D, 0x02FA1D, 0x02A600},
 };
 
-const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_punctuation = {
-{0x00000021, 0x00000023}, {0x00000025, 0x0000002A}, {0x0000002C, 0x0000002F}, {0x0000003A, 0x0000003B},
-{0x0000003F, 0x00000040}, {0x0000005B, 0x0000005D}, {0x0000005F, 0x0000005F}, {0x0000007B, 0x0000007B},
-{0x0000007D, 0x0000007D}, {0x000000A1, 0x000000A1}, {0x000000A7, 0x000000A7}, {0x000000AB, 0x000000AB},
-{0x000000B6, 0x000000B7}, {0x000000BB, 0x000000BB}, {0x000000BF, 0x000000BF}, {0x0000037E, 0x0000037E},
-{0x00000387, 0x00000387}, {0x0000055A, 0x0000055F}, {0x00000589, 0x0000058A}, {0x000005BE, 0x000005BE},
-{0x000005C0, 0x000005C0}, {0x000005C3, 0x000005C3}, {0x000005C6, 0x000005C6}, {0x000005F3, 0x000005F4},
-{0x00000609, 0x0000060A}, {0x0000060C, 0x0000060D}, {0x0000061B, 0x0000061B}, {0x0000061D, 0x0000061F},
-{0x0000066A, 0x0000066D}, {0x000006D4, 0x000006D4}, {0x00000700, 0x0000070D}, {0x000007F7, 0x000007F9},
-{0x00000830, 0x0000083E}, {0x0000085E, 0x0000085E}, {0x00000964, 0x00000965}, {0x00000970, 0x00000970},
-{0x000009FD, 0x000009FD}, {0x00000A76, 0x00000A76}, {0x00000AF0, 0x00000AF0}, {0x00000C77, 0x00000C77},
-{0x00000C84, 0x00000C84}, {0x00000DF4, 0x00000DF4}, {0x00000E4F, 0x00000E4F}, {0x00000E5A, 0x00000E5B},
-{0x00000F04, 0x00000F12}, {0x00000F14, 0x00000F14}, {0x00000F3A, 0x00000F3D}, {0x00000F85, 0x00000F85},
-{0x00000FD0, 0x00000FD4}, {0x00000FD9, 0x00000FDA}, {0x0000104A, 0x0000104F}, {0x000010FB, 0x000010FB},
-{0x00001360, 0x00001368}, {0x00001400, 0x00001400}, {0x0000166E, 0x0000166E}, {0x0000169B, 0x0000169C},
-{0x000016EB, 0x000016ED}, {0x00001735, 0x00001736}, {0x000017D4, 0x000017D6}, {0x000017D8, 0x000017DA},
-{0x00001800, 0x0000180A}, {0x00001944, 0x00001945}, {0x00001A1E, 0x00001A1F}, {0x00001AA0, 0x00001AA6},
-{0x00001AA8, 0x00001AAD}, {0x00001B5A, 0x00001B60}, {0x00001B7D, 0x00001B7E}, {0x00001BFC, 0x00001BFF},
-{0x00001C3B, 0x00001C3F}, {0x00001C7E, 0x00001C7F}, {0x00001CC0, 0x00001CC7}, {0x00001CD3, 0x00001CD3},
-{0x00002010, 0x00002027}, {0x00002030, 0x00002043}, {0x00002045, 0x00002051}, {0x00002053, 0x0000205E},
-{0x0000207D, 0x0000207E}, {0x0000208D, 0x0000208E}, {0x00002308, 0x0000230B}, {0x00002329, 0x0000232A},
-{0x00002768, 0x00002775}, {0x000027C5, 0x000027C6}, {0x000027E6, 0x000027EF}, {0x00002983, 0x00002998},
-{0x000029D8, 0x000029DB}, {0x000029FC, 0x000029FD}, {0x00002CF9, 0x00002CFC}, {0x00002CFE, 0x00002CFF},
-{0x00002D70, 0x00002D70}, {0x00002E00, 0x00002E2E}, {0x00002E30, 0x00002E4F}, {0x00002E52, 0x00002E5D},
-{0x00003001, 0x00003003}, {0x00003008, 0x00003011}, {0x00003014, 0x0000301F}, {0x00003030, 0x00003030},
-{0x0000303D, 0x0000303D}, {0x000030A0, 0x000030A0}, {0x000030FB, 0x000030FB}, {0x0000A4FE, 0x0000A4FF},
-{0x0000A60D, 0x0000A60F}, {0x0000A673, 0x0000A673}, {0x0000A67E, 0x0000A67E}, {0x0000A6F2, 0x0000A6F7},
-{0x0000A874, 0x0000A877}, {0x0000A8CE, 0x0000A8CF}, {0x0000A8F8, 0x0000A8FA}, {0x0000A8FC, 0x0000A8FC},
-{0x0000A92E, 0x0000A92F}, {0x0000A95F, 0x0000A95F}, {0x0000A9C1, 0x0000A9CD}, {0x0000A9DE, 0x0000A9DF},
-{0x0000AA5C, 0x0000AA5F}, {0x0000AADE, 0x0000AADF}, {0x0000AAF0, 0x0000AAF1}, {0x0000ABEB, 0x0000ABEB},
-{0x0000FD3E, 0x0000FD3F}, {0x0000FE10, 0x0000FE19}, {0x0000FE30, 0x0000FE52}, {0x0000FE54, 0x0000FE61},
-{0x0000FE63, 0x0000FE63}, {0x0000FE68, 0x0000FE68}, {0x0000FE6A, 0x0000FE6B}, {0x0000FF01, 0x0000FF03},
-{0x0000FF05, 0x0000FF0A}, {0x0000FF0C, 0x0000FF0F}, {0x0000FF1A, 0x0000FF1B}, {0x0000FF1F, 0x0000FF20},
-{0x0000FF3B, 0x0000FF3D}, {0x0000FF3F, 0x0000FF3F}, {0x0000FF5B, 0x0000FF5B}, {0x0000FF5D, 0x0000FF5D},
-{0x0000FF5F, 0x0000FF65}, {0x00010100, 0x00010102}, {0x0001039F, 0x0001039F}, {0x000103D0, 0x000103D0},
-{0x0001056F, 0x0001056F}, {0x00010857, 0x00010857}, {0x0001091F, 0x0001091F}, {0x0001093F, 0x0001093F},
-{0x00010A50, 0x00010A58}, {0x00010A7F, 0x00010A7F}, {0x00010AF0, 0x00010AF6}, {0x00010B39, 0x00010B3F},
-{0x00010B99, 0x00010B9C}, {0x00010EAD, 0x00010EAD}, {0x00010F55, 0x00010F59}, {0x00010F86, 0x00010F89},
-{0x00011047, 0x0001104D}, {0x000110BB, 0x000110BC}, {0x000110BE, 0x000110C1}, {0x00011140, 0x00011143},
-{0x00011174, 0x00011175}, {0x000111C5, 0x000111C8}, {0x000111CD, 0x000111CD}, {0x000111DB, 0x000111DB},
-{0x000111DD, 0x000111DF}, {0x00011238, 0x0001123D}, {0x000112A9, 0x000112A9}, {0x0001144B, 0x0001144F},
-{0x0001145A, 0x0001145B}, {0x0001145D, 0x0001145D}, {0x000114C6, 0x000114C6}, {0x000115C1, 0x000115D7},
-{0x00011641, 0x00011643}, {0x00011660, 0x0001166C}, {0x000116B9, 0x000116B9}, {0x0001173C, 0x0001173E},
-{0x0001183B, 0x0001183B}, {0x00011944, 0x00011946}, {0x000119E2, 0x000119E2}, {0x00011A3F, 0x00011A46},
-{0x00011A9A, 0x00011A9C}, {0x00011A9E, 0x00011AA2}, {0x00011B00, 0x00011B09}, {0x00011C41, 0x00011C45},
-{0x00011C70, 0x00011C71}, {0x00011EF7, 0x00011EF8}, {0x00011F43, 0x00011F4F}, {0x00011FFF, 0x00011FFF},
-{0x00012470, 0x00012474}, {0x00012FF1, 0x00012FF2}, {0x00016A6E, 0x00016A6F}, {0x00016AF5, 0x00016AF5},
-{0x00016B37, 0x00016B3B}, {0x00016B44, 0x00016B44}, {0x00016E97, 0x00016E9A}, {0x00016FE2, 0x00016FE2},
-{0x0001BC9F, 0x0001BC9F}, {0x0001DA87, 0x0001DA8B}, {0x0001E95E, 0x0001E95F},
-};
-
-const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_symbol = {
-{0x00000024, 0x00000024}, {0x0000002B, 0x0000002B}, {0x0000003C, 0x0000003E}, {0x0000005E, 0x0000005E},
-{0x00000060, 0x00000060}, {0x0000007C, 0x0000007C}, {0x0000007E, 0x0000007E}, {0x000000A2, 0x000000A6},
-{0x000000A8, 0x000000A9}, {0x000000AC, 0x000000AC}, {0x000000AE, 0x000000B1}, {0x000000B4, 0x000000B4},
-{0x000000B8, 0x000000B8}, {0x000000D7, 0x000000D7}, {0x000000F7, 0x000000F7}, {0x000002C2, 0x000002C5},
-{0x000002D2, 0x000002DF}, {0x000002E5, 0x000002EB}, {0x000002ED, 0x000002ED}, {0x000002EF, 0x000002FF},
-{0x00000375, 0x00000375}, {0x00000384, 0x00000385}, {0x000003F6, 0x000003F6}, {0x00000482, 0x00000482},
-{0x0000058D, 0x0000058F}, {0x00000606, 0x00000608}, {0x0000060B, 0x0000060B}, {0x0000060E, 0x0000060F},
-{0x000006DE, 0x000006DE}, {0x000006E9, 0x000006E9}, {0x000006FD, 0x000006FE}, {0x000007F6, 0x000007F6},
-{0x000007FE, 0x000007FF}, {0x00000888, 0x00000888}, {0x000009F2, 0x000009F3}, {0x000009FA, 0x000009FB},
-{0x00000AF1, 0x00000AF1}, {0x00000B70, 0x00000B70}, {0x00000BF3, 0x00000BFA}, {0x00000C7F, 0x00000C7F},
-{0x00000D4F, 0x00000D4F}, {0x00000D79, 0x00000D79}, {0x00000E3F, 0x00000E3F}, {0x00000F01, 0x00000F03},
-{0x00000F13, 0x00000F13}, {0x00000F15, 0x00000F17}, {0x00000F1A, 0x00000F1F}, {0x00000F34, 0x00000F34},
-{0x00000F36, 0x00000F36}, {0x00000F38, 0x00000F38}, {0x00000FBE, 0x00000FC5}, {0x00000FC7, 0x00000FCC},
-{0x00000FCE, 0x00000FCF}, {0x00000FD5, 0x00000FD8}, {0x0000109E, 0x0000109F}, {0x00001390, 0x00001399},
-{0x0000166D, 0x0000166D}, {0x000017DB, 0x000017DB}, {0x00001940, 0x00001940}, {0x000019DE, 0x000019FF},
-{0x00001B61, 0x00001B6A}, {0x00001B74, 0x00001B7C}, {0x00001FBD, 0x00001FBD}, {0x00001FBF, 0x00001FC1},
-{0x00001FCD, 0x00001FCF}, {0x00001FDD, 0x00001FDF}, {0x00001FED, 0x00001FEF}, {0x00001FFD, 0x00001FFE},
-{0x00002044, 0x00002044}, {0x00002052, 0x00002052}, {0x0000207A, 0x0000207C}, {0x0000208A, 0x0000208C},
-{0x000020A0, 0x000020C0}, {0x00002100, 0x00002101}, {0x00002103, 0x00002106}, {0x00002108, 0x00002109},
-{0x00002114, 0x00002114}, {0x00002116, 0x00002118}, {0x0000211E, 0x00002123}, {0x00002125, 0x00002125},
-{0x00002127, 0x00002127}, {0x00002129, 0x00002129}, {0x0000212E, 0x0000212E}, {0x0000213A, 0x0000213B},
-{0x00002140, 0x00002144}, {0x0000214A, 0x0000214D}, {0x0000214F, 0x0000214F}, {0x0000218A, 0x0000218B},
-{0x00002190, 0x00002307}, {0x0000230C, 0x00002328}, {0x0000232B, 0x00002426}, {0x00002440, 0x0000244A},
-{0x0000249C, 0x000024E9}, {0x00002500, 0x00002767}, {0x00002794, 0x000027C4}, {0x000027C7, 0x000027E5},
-{0x000027F0, 0x00002982}, {0x00002999, 0x000029D7}, {0x000029DC, 0x000029FB}, {0x000029FE, 0x00002B73},
-{0x00002B76, 0x00002B95}, {0x00002B97, 0x00002BFF}, {0x00002CE5, 0x00002CEA}, {0x00002E50, 0x00002E51},
-{0x00002E80, 0x00002E99}, {0x00002E9B, 0x00002EF3}, {0x00002F00, 0x00002FD5}, {0x00002FF0, 0x00002FFF},
-{0x00003004, 0x00003004}, {0x00003012, 0x00003013}, {0x00003020, 0x00003020}, {0x00003036, 0x00003037},
-{0x0000303E, 0x0000303F}, {0x0000309B, 0x0000309C}, {0x00003190, 0x00003191}, {0x00003196, 0x0000319F},
-{0x000031C0, 0x000031E3}, {0x000031EF, 0x000031EF}, {0x00003200, 0x0000321E}, {0x0000322A, 0x00003247},
-{0x00003250, 0x00003250}, {0x00003260, 0x0000327F}, {0x0000328A, 0x000032B0}, {0x000032C0, 0x000033FF},
-{0x00004DC0, 0x00004DFF}, {0x0000A490, 0x0000A4C6}, {0x0000A700, 0x0000A716}, {0x0000A720, 0x0000A721},
-{0x0000A789, 0x0000A78A}, {0x0000A828, 0x0000A82B}, {0x0000A836, 0x0000A839}, {0x0000AA77, 0x0000AA79},
-{0x0000AB5B, 0x0000AB5B}, {0x0000AB6A, 0x0000AB6B}, {0x0000FB29, 0x0000FB29}, {0x0000FBB2, 0x0000FBC2},
-{0x0000FD40, 0x0000FD4F}, {0x0000FDCF, 0x0000FDCF}, {0x0000FDFC, 0x0000FDFF}, {0x0000FE62, 0x0000FE62},
-{0x0000FE64, 0x0000FE66}, {0x0000FE69, 0x0000FE69}, {0x0000FF04, 0x0000FF04}, {0x0000FF0B, 0x0000FF0B},
-{0x0000FF1C, 0x0000FF1E}, {0x0000FF3E, 0x0000FF3E}, {0x0000FF40, 0x0000FF40}, {0x0000FF5C, 0x0000FF5C},
-{0x0000FF5E, 0x0000FF5E}, {0x0000FFE0, 0x0000FFE6}, {0x0000FFE8, 0x0000FFEE}, {0x0000FFFC, 0x0000FFFD},
-{0x00010137, 0x0001013F}, {0x00010179, 0x00010189}, {0x0001018C, 0x0001018E}, {0x00010190, 0x0001019C},
-{0x000101A0, 0x000101A0}, {0x000101D0, 0x000101FC}, {0x00010877, 0x00010878}, {0x00010AC8, 0x00010AC8},
-{0x0001173F, 0x0001173F}, {0x00011FD5, 0x00011FF1}, {0x00016B3C, 0x00016B3F}, {0x00016B45, 0x00016B45},
-{0x0001BC9C, 0x0001BC9C}, {0x0001CF50, 0x0001CFC3}, {0x0001D000, 0x0001D0F5}, {0x0001D100, 0x0001D126},
-{0x0001D129, 0x0001D164}, {0x0001D16A, 0x0001D16C}, {0x0001D183, 0x0001D184}, {0x0001D18C, 0x0001D1A9},
-{0x0001D1AE, 0x0001D1EA}, {0x0001D200, 0x0001D241}, {0x0001D245, 0x0001D245}, {0x0001D300, 0x0001D356},
-{0x0001D6C1, 0x0001D6C1}, {0x0001D6DB, 0x0001D6DB}, {0x0001D6FB, 0x0001D6FB}, {0x0001D715, 0x0001D715},
-{0x0001D735, 0x0001D735}, {0x0001D74F, 0x0001D74F}, {0x0001D76F, 0x0001D76F}, {0x0001D789, 0x0001D789},
-{0x0001D7A9, 0x0001D7A9}, {0x0001D7C3, 0x0001D7C3}, {0x0001D800, 0x0001D9FF}, {0x0001DA37, 0x0001DA3A},
-{0x0001DA6D, 0x0001DA74}, {0x0001DA76, 0x0001DA83}, {0x0001DA85, 0x0001DA86}, {0x0001E14F, 0x0001E14F},
-{0x0001E2FF, 0x0001E2FF}, {0x0001ECAC, 0x0001ECAC}, {0x0001ECB0, 0x0001ECB0}, {0x0001ED2E, 0x0001ED2E},
-{0x0001EEF0, 0x0001EEF1}, {0x0001F000, 0x0001F02B}, {0x0001F030, 0x0001F093}, {0x0001F0A0, 0x0001F0AE},
-{0x0001F0B1, 0x0001F0BF}, {0x0001F0C1, 0x0001F0CF}, {0x0001F0D1, 0x0001F0F5}, {0x0001F10D, 0x0001F1AD},
-{0x0001F1E6, 0x0001F202}, {0x0001F210, 0x0001F23B}, {0x0001F240, 0x0001F248}, {0x0001F250, 0x0001F251},
-{0x0001F260, 0x0001F265}, {0x0001F300, 0x0001F6D7}, {0x0001F6DC, 0x0001F6EC}, {0x0001F6F0, 0x0001F6FC},
-{0x0001F700, 0x0001F776}, {0x0001F77B, 0x0001F7D9}, {0x0001F7E0, 0x0001F7EB}, {0x0001F7F0, 0x0001F7F0},
-{0x0001F800, 0x0001F80B}, {0x0001F810, 0x0001F847}, {0x0001F850, 0x0001F859}, {0x0001F860, 0x0001F887},
-{0x0001F890, 0x0001F8AD}, {0x0001F8B0, 0x0001F8B1}, {0x0001F900, 0x0001FA53}, {0x0001FA60, 0x0001FA6D},
-{0x0001FA70, 0x0001FA7C}, {0x0001FA80, 0x0001FA88}, {0x0001FA90, 0x0001FABD}, {0x0001FABF, 0x0001FAC5},
-{0x0001FACE, 0x0001FADB}, {0x0001FAE0, 0x0001FAE8}, {0x0001FAF0, 0x0001FAF8}, {0x0001FB00, 0x0001FB92},
-{0x0001FB94, 0x0001FBCA},
-};
-
-const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_control = {
-{0x00000000, 0x0000001F}, {0x0000007F, 0x0000009F}, {0x000000AD, 0x000000AD}, {0x00000378, 0x00000379},
-{0x00000380, 0x00000383}, {0x0000038B, 0x0000038B}, {0x0000038D, 0x0000038D}, {0x000003A2, 0x000003A2},
-{0x00000530, 0x00000530}, {0x00000557, 0x00000558}, {0x0000058B, 0x0000058C}, {0x00000590, 0x00000590},
-{0x000005C8, 0x000005CF}, {0x000005EB, 0x000005EE}, {0x000005F5, 0x00000605}, {0x0000061C, 0x0000061C},
-{0x000006DD, 0x000006DD}, {0x0000070E, 0x0000070F}, {0x0000074B, 0x0000074C}, {0x000007B2, 0x000007BF},
-{0x000007FB, 0x000007FC}, {0x0000082E, 0x0000082F}, {0x0000083F, 0x0000083F}, {0x0000085C, 0x0000085D},
-{0x0000085F, 0x0000085F}, {0x0000086B, 0x0000086F}, {0x0000088F, 0x00000897}, {0x000008E2, 0x000008E2},
-{0x00000984, 0x00000984}, {0x0000098D, 0x0000098E}, {0x00000991, 0x00000992}, {0x000009A9, 0x000009A9},
-{0x000009B1, 0x000009B1}, {0x000009B3, 0x000009B5}, {0x000009BA, 0x000009BB}, {0x000009C5, 0x000009C6},
-{0x000009C9, 0x000009CA}, {0x000009CF, 0x000009D6}, {0x000009D8, 0x000009DB}, {0x000009DE, 0x000009DE},
-{0x000009E4, 0x000009E5}, {0x000009FF, 0x00000A00}, {0x00000A04, 0x00000A04}, {0x00000A0B, 0x00000A0E},
-{0x00000A11, 0x00000A12}, {0x00000A29, 0x00000A29}, {0x00000A31, 0x00000A31}, {0x00000A34, 0x00000A34},
-{0x00000A37, 0x00000A37}, {0x00000A3A, 0x00000A3B}, {0x00000A3D, 0x00000A3D}, {0x00000A43, 0x00000A46},
-{0x00000A49, 0x00000A4A}, {0x00000A4E, 0x00000A50}, {0x00000A52, 0x00000A58}, {0x00000A5D, 0x00000A5D},
-{0x00000A5F, 0x00000A65}, {0x00000A77, 0x00000A80}, {0x00000A84, 0x00000A84}, {0x00000A8E, 0x00000A8E},
-{0x00000A92, 0x00000A92}, {0x00000AA9, 0x00000AA9}, {0x00000AB1, 0x00000AB1}, {0x00000AB4, 0x00000AB4},
-{0x00000ABA, 0x00000ABB}, {0x00000AC6, 0x00000AC6}, {0x00000ACA, 0x00000ACA}, {0x00000ACE, 0x00000ACF},
-{0x00000AD1, 0x00000ADF}, {0x00000AE4, 0x00000AE5}, {0x00000AF2, 0x00000AF8}, {0x00000B00, 0x00000B00},
-{0x00000B04, 0x00000B04}, {0x00000B0D, 0x00000B0E}, {0x00000B11, 0x00000B12}, {0x00000B29, 0x00000B29},
-{0x00000B31, 0x00000B31}, {0x00000B34, 0x00000B34}, {0x00000B3A, 0x00000B3B}, {0x00000B45, 0x00000B46},
-{0x00000B49, 0x00000B4A}, {0x00000B4E, 0x00000B54}, {0x00000B58, 0x00000B5B}, {0x00000B5E, 0x00000B5E},
-{0x00000B64, 0x00000B65}, {0x00000B78, 0x00000B81}, {0x00000B84, 0x00000B84}, {0x00000B8B, 0x00000B8D},
-{0x00000B91, 0x00000B91}, {0x00000B96, 0x00000B98}, {0x00000B9B, 0x00000B9B}, {0x00000B9D, 0x00000B9D},
-{0x00000BA0, 0x00000BA2}, {0x00000BA5, 0x00000BA7}, {0x00000BAB, 0x00000BAD}, {0x00000BBA, 0x00000BBD},
-{0x00000BC3, 0x00000BC5}, {0x00000BC9, 0x00000BC9}, {0x00000BCE, 0x00000BCF}, {0x00000BD1, 0x00000BD6},
-{0x00000BD8, 0x00000BE5}, {0x00000BFB, 0x00000BFF}, {0x00000C0D, 0x00000C0D}, {0x00000C11, 0x00000C11},
-{0x00000C29, 0x00000C29}, {0x00000C3A, 0x00000C3B}, {0x00000C45, 0x00000C45}, {0x00000C49, 0x00000C49},
-{0x00000C4E, 0x00000C54}, {0x00000C57, 0x00000C57}, {0x00000C5B, 0x00000C5C}, {0x00000C5E, 0x00000C5F},
-{0x00000C64, 0x00000C65}, {0x00000C70, 0x00000C76}, {0x00000C8D, 0x00000C8D}, {0x00000C91, 0x00000C91},
-{0x00000CA9, 0x00000CA9}, {0x00000CB4, 0x00000CB4}, {0x00000CBA, 0x00000CBB}, {0x00000CC5, 0x00000CC5},
-{0x00000CC9, 0x00000CC9}, {0x00000CCE, 0x00000CD4}, {0x00000CD7, 0x00000CDC}, {0x00000CDF, 0x00000CDF},
-{0x00000CE4, 0x00000CE5}, {0x00000CF0, 0x00000CF0}, {0x00000CF4, 0x00000CFF}, {0x00000D0D, 0x00000D0D},
-{0x00000D11, 0x00000D11}, {0x00000D45, 0x00000D45}, {0x00000D49, 0x00000D49}, {0x00000D50, 0x00000D53},
-{0x00000D64, 0x00000D65}, {0x00000D80, 0x00000D80}, {0x00000D84, 0x00000D84}, {0x00000D97, 0x00000D99},
-{0x00000DB2, 0x00000DB2}, {0x00000DBC, 0x00000DBC}, {0x00000DBE, 0x00000DBF}, {0x00000DC7, 0x00000DC9},
-{0x00000DCB, 0x00000DCE}, {0x00000DD5, 0x00000DD5}, {0x00000DD7, 0x00000DD7}, {0x00000DE0, 0x00000DE5},
-{0x00000DF0, 0x00000DF1}, {0x00000DF5, 0x00000E00}, {0x00000E3B, 0x00000E3E}, {0x00000E5C, 0x00000E80},
-{0x00000E83, 0x00000E83}, {0x00000E85, 0x00000E85}, {0x00000E8B, 0x00000E8B}, {0x00000EA4, 0x00000EA4},
-{0x00000EA6, 0x00000EA6}, {0x00000EBE, 0x00000EBF}, {0x00000EC5, 0x00000EC5}, {0x00000EC7, 0x00000EC7},
-{0x00000ECF, 0x00000ECF}, {0x00000EDA, 0x00000EDB}, {0x00000EE0, 0x00000EFF}, {0x00000F48, 0x00000F48},
-{0x00000F6D, 0x00000F70}, {0x00000F98, 0x00000F98}, {0x00000FBD, 0x00000FBD}, {0x00000FCD, 0x00000FCD},
-{0x00000FDB, 0x00000FFF}, {0x000010C6, 0x000010C6}, {0x000010C8, 0x000010CC}, {0x000010CE, 0x000010CF},
-{0x00001249, 0x00001249}, {0x0000124E, 0x0000124F}, {0x00001257, 0x00001257}, {0x00001259, 0x00001259},
-{0x0000125E, 0x0000125F}, {0x00001289, 0x00001289}, {0x0000128E, 0x0000128F}, {0x000012B1, 0x000012B1},
-{0x000012B6, 0x000012B7}, {0x000012BF, 0x000012BF}, {0x000012C1, 0x000012C1}, {0x000012C6, 0x000012C7},
-{0x000012D7, 0x000012D7}, {0x00001311, 0x00001311}, {0x00001316, 0x00001317}, {0x0000135B, 0x0000135C},
-{0x0000137D, 0x0000137F}, {0x0000139A, 0x0000139F}, {0x000013F6, 0x000013F7}, {0x000013FE, 0x000013FF},
-{0x0000169D, 0x0000169F}, {0x000016F9, 0x000016FF}, {0x00001716, 0x0000171E}, {0x00001737, 0x0000173F},
-{0x00001754, 0x0000175F}, {0x0000176D, 0x0000176D}, {0x00001771, 0x00001771}, {0x00001774, 0x0000177F},
-{0x000017DE, 0x000017DF}, {0x000017EA, 0x000017EF}, {0x000017FA, 0x000017FF}, {0x0000180E, 0x0000180E},
-{0x0000181A, 0x0000181F}, {0x00001879, 0x0000187F}, {0x000018AB, 0x000018AF}, {0x000018F6, 0x000018FF},
-{0x0000191F, 0x0000191F}, {0x0000192C, 0x0000192F}, {0x0000193C, 0x0000193F}, {0x00001941, 0x00001943},
-{0x0000196E, 0x0000196F}, {0x00001975, 0x0000197F}, {0x000019AC, 0x000019AF}, {0x000019CA, 0x000019CF},
-{0x000019DB, 0x000019DD}, {0x00001A1C, 0x00001A1D}, {0x00001A5F, 0x00001A5F}, {0x00001A7D, 0x00001A7E},
-{0x00001A8A, 0x00001A8F}, {0x00001A9A, 0x00001A9F}, {0x00001AAE, 0x00001AAF}, {0x00001ACF, 0x00001AFF},
-{0x00001B4D, 0x00001B4F}, {0x00001B7F, 0x00001B7F}, {0x00001BF4, 0x00001BFB}, {0x00001C38, 0x00001C3A},
-{0x00001C4A, 0x00001C4C}, {0x00001C89, 0x00001C8F}, {0x00001CBB, 0x00001CBC}, {0x00001CC8, 0x00001CCF},
-{0x00001CFB, 0x00001CFF}, {0x00001F16, 0x00001F17}, {0x00001F1E, 0x00001F1F}, {0x00001F46, 0x00001F47},
-{0x00001F4E, 0x00001F4F}, {0x00001F58, 0x00001F58}, {0x00001F5A, 0x00001F5A}, {0x00001F5C, 0x00001F5C},
-{0x00001F5E, 0x00001F5E}, {0x00001F7E, 0x00001F7F}, {0x00001FB5, 0x00001FB5}, {0x00001FC5, 0x00001FC5},
-{0x00001FD4, 0x00001FD5}, {0x00001FDC, 0x00001FDC}, {0x00001FF0, 0x00001FF1}, {0x00001FF5, 0x00001FF5},
-{0x00001FFF, 0x00001FFF}, {0x0000200B, 0x0000200F}, {0x0000202A, 0x0000202E}, {0x00002060, 0x0000206F},
-{0x00002072, 0x00002073}, {0x0000208F, 0x0000208F}, {0x0000209D, 0x0000209F}, {0x000020C1, 0x000020CF},
-{0x000020F1, 0x000020FF}, {0x0000218C, 0x0000218F}, {0x00002427, 0x0000243F}, {0x0000244B, 0x0000245F},
-{0x00002B74, 0x00002B75}, {0x00002B96, 0x00002B96}, {0x00002CF4, 0x00002CF8}, {0x00002D26, 0x00002D26},
-{0x00002D28, 0x00002D2C}, {0x00002D2E, 0x00002D2F}, {0x00002D68, 0x00002D6E}, {0x00002D71, 0x00002D7E},
-{0x00002D97, 0x00002D9F}, {0x00002DA7, 0x00002DA7}, {0x00002DAF, 0x00002DAF}, {0x00002DB7, 0x00002DB7},
-{0x00002DBF, 0x00002DBF}, {0x00002DC7, 0x00002DC7}, {0x00002DCF, 0x00002DCF}, {0x00002DD7, 0x00002DD7},
-{0x00002DDF, 0x00002DDF}, {0x00002E5E, 0x00002E7F}, {0x00002E9A, 0x00002E9A}, {0x00002EF4, 0x00002EFF},
-{0x00002FD6, 0x00002FEF}, {0x00003040, 0x00003040}, {0x00003097, 0x00003098}, {0x00003100, 0x00003104},
-{0x00003130, 0x00003130}, {0x0000318F, 0x0000318F}, {0x000031E4, 0x000031EE}, {0x0000321F, 0x0000321F},
-{0x0000A48D, 0x0000A48F}, {0x0000A4C7, 0x0000A4CF}, {0x0000A62C, 0x0000A63F}, {0x0000A6F8, 0x0000A6FF},
-{0x0000A7CB, 0x0000A7CF}, {0x0000A7D2, 0x0000A7D2}, {0x0000A7D4, 0x0000A7D4}, {0x0000A7DA, 0x0000A7F1},
-{0x0000A82D, 0x0000A82F}, {0x0000A83A, 0x0000A83F}, {0x0000A878, 0x0000A87F}, {0x0000A8C6, 0x0000A8CD},
-{0x0000A8DA, 0x0000A8DF}, {0x0000A954, 0x0000A95E}, {0x0000A97D, 0x0000A97F}, {0x0000A9CE, 0x0000A9CE},
-{0x0000A9DA, 0x0000A9DD}, {0x0000A9FF, 0x0000A9FF}, {0x0000AA37, 0x0000AA3F}, {0x0000AA4E, 0x0000AA4F},
-{0x0000AA5A, 0x0000AA5B}, {0x0000AAC3, 0x0000AADA}, {0x0000AAF7, 0x0000AB00}, {0x0000AB07, 0x0000AB08},
-{0x0000AB0F, 0x0000AB10}, {0x0000AB17, 0x0000AB1F}, {0x0000AB27, 0x0000AB27}, {0x0000AB2F, 0x0000AB2F},
-{0x0000AB6C, 0x0000AB6F}, {0x0000ABEE, 0x0000ABEF}, {0x0000ABFA, 0x0000ABFF}, {0x0000D7A4, 0x0000D7AF},
-{0x0000D7C7, 0x0000D7CA}, {0x0000D7FC, 0x0000F8FF}, {0x0000FA6E, 0x0000FA6F}, {0x0000FADA, 0x0000FAFF},
-{0x0000FB07, 0x0000FB12}, {0x0000FB18, 0x0000FB1C}, {0x0000FB37, 0x0000FB37}, {0x0000FB3D, 0x0000FB3D},
-{0x0000FB3F, 0x0000FB3F}, {0x0000FB42, 0x0000FB42}, {0x0000FB45, 0x0000FB45}, {0x0000FBC3, 0x0000FBD2},
-{0x0000FD90, 0x0000FD91}, {0x0000FDC8, 0x0000FDCE}, {0x0000FDD0, 0x0000FDEF}, {0x0000FE1A, 0x0000FE1F},
-{0x0000FE53, 0x0000FE53}, {0x0000FE67, 0x0000FE67}, {0x0000FE6C, 0x0000FE6F}, {0x0000FE75, 0x0000FE75},
-{0x0000FEFD, 0x0000FF00}, {0x0000FFBF, 0x0000FFC1}, {0x0000FFC8, 0x0000FFC9}, {0x0000FFD0, 0x0000FFD1},
-{0x0000FFD8, 0x0000FFD9}, {0x0000FFDD, 0x0000FFDF}, {0x0000FFE7, 0x0000FFE7}, {0x0000FFEF, 0x0000FFFB},
-{0x0000FFFE, 0x0000FFFF}, {0x0001000C, 0x0001000C}, {0x00010027, 0x00010027}, {0x0001003B, 0x0001003B},
-{0x0001003E, 0x0001003E}, {0x0001004E, 0x0001004F}, {0x0001005E, 0x0001007F}, {0x000100FB, 0x000100FF},
-{0x00010103, 0x00010106}, {0x00010134, 0x00010136}, {0x0001018F, 0x0001018F}, {0x0001019D, 0x0001019F},
-{0x000101A1, 0x000101CF}, {0x000101FE, 0x0001027F}, {0x0001029D, 0x0001029F}, {0x000102D1, 0x000102DF},
-{0x000102FC, 0x000102FF}, {0x00010324, 0x0001032C}, {0x0001034B, 0x0001034F}, {0x0001037B, 0x0001037F},
-{0x0001039E, 0x0001039E}, {0x000103C4, 0x000103C7}, {0x000103D6, 0x000103FF}, {0x0001049E, 0x0001049F},
-{0x000104AA, 0x000104AF}, {0x000104D4, 0x000104D7}, {0x000104FC, 0x000104FF}, {0x00010528, 0x0001052F},
-{0x00010564, 0x0001056E}, {0x0001057B, 0x0001057B}, {0x0001058B, 0x0001058B}, {0x00010593, 0x00010593},
-{0x00010596, 0x00010596}, {0x000105A2, 0x000105A2}, {0x000105B2, 0x000105B2}, {0x000105BA, 0x000105BA},
-{0x000105BD, 0x000105FF}, {0x00010737, 0x0001073F}, {0x00010756, 0x0001075F}, {0x00010768, 0x0001077F},
-{0x00010786, 0x00010786}, {0x000107B1, 0x000107B1}, {0x000107BB, 0x000107FF}, {0x00010806, 0x00010807},
-{0x00010809, 0x00010809}, {0x00010836, 0x00010836}, {0x00010839, 0x0001083B}, {0x0001083D, 0x0001083E},
-{0x00010856, 0x00010856}, {0x0001089F, 0x000108A6}, {0x000108B0, 0x000108DF}, {0x000108F3, 0x000108F3},
-{0x000108F6, 0x000108FA}, {0x0001091C, 0x0001091E}, {0x0001093A, 0x0001093E}, {0x00010940, 0x0001097F},
-{0x000109B8, 0x000109BB}, {0x000109D0, 0x000109D1}, {0x00010A04, 0x00010A04}, {0x00010A07, 0x00010A0B},
-{0x00010A14, 0x00010A14}, {0x00010A18, 0x00010A18}, {0x00010A36, 0x00010A37}, {0x00010A3B, 0x00010A3E},
-{0x00010A49, 0x00010A4F}, {0x00010A59, 0x00010A5F}, {0x00010AA0, 0x00010ABF}, {0x00010AE7, 0x00010AEA},
-{0x00010AF7, 0x00010AFF}, {0x00010B36, 0x00010B38}, {0x00010B56, 0x00010B57}, {0x00010B73, 0x00010B77},
-{0x00010B92, 0x00010B98}, {0x00010B9D, 0x00010BA8}, {0x00010BB0, 0x00010BFF}, {0x00010C49, 0x00010C7F},
-{0x00010CB3, 0x00010CBF}, {0x00010CF3, 0x00010CF9}, {0x00010D28, 0x00010D2F}, {0x00010D3A, 0x00010E5F},
-{0x00010E7F, 0x00010E7F}, {0x00010EAA, 0x00010EAA}, {0x00010EAE, 0x00010EAF}, {0x00010EB2, 0x00010EFC},
-{0x00010F28, 0x00010F2F}, {0x00010F5A, 0x00010F6F}, {0x00010F8A, 0x00010FAF}, {0x00010FCC, 0x00010FDF},
-{0x00010FF7, 0x00010FFF}, {0x0001104E, 0x00011051}, {0x00011076, 0x0001107E}, {0x000110BD, 0x000110BD},
-{0x000110C3, 0x000110CF}, {0x000110E9, 0x000110EF}, {0x000110FA, 0x000110FF}, {0x00011135, 0x00011135},
-{0x00011148, 0x0001114F}, {0x00011177, 0x0001117F}, {0x000111E0, 0x000111E0}, {0x000111F5, 0x000111FF},
-{0x00011212, 0x00011212}, {0x00011242, 0x0001127F}, {0x00011287, 0x00011287}, {0x00011289, 0x00011289},
-{0x0001128E, 0x0001128E}, {0x0001129E, 0x0001129E}, {0x000112AA, 0x000112AF}, {0x000112EB, 0x000112EF},
-{0x000112FA, 0x000112FF}, {0x00011304, 0x00011304}, {0x0001130D, 0x0001130E}, {0x00011311, 0x00011312},
-{0x00011329, 0x00011329}, {0x00011331, 0x00011331}, {0x00011334, 0x00011334}, {0x0001133A, 0x0001133A},
-{0x00011345, 0x00011346}, {0x00011349, 0x0001134A}, {0x0001134E, 0x0001134F}, {0x00011351, 0x00011356},
-{0x00011358, 0x0001135C}, {0x00011364, 0x00011365}, {0x0001136D, 0x0001136F}, {0x00011375, 0x000113FF},
-{0x0001145C, 0x0001145C}, {0x00011462, 0x0001147F}, {0x000114C8, 0x000114CF}, {0x000114DA, 0x0001157F},
-{0x000115B6, 0x000115B7}, {0x000115DE, 0x000115FF}, {0x00011645, 0x0001164F}, {0x0001165A, 0x0001165F},
-{0x0001166D, 0x0001167F}, {0x000116BA, 0x000116BF}, {0x000116CA, 0x000116FF}, {0x0001171B, 0x0001171C},
-{0x0001172C, 0x0001172F}, {0x00011747, 0x000117FF}, {0x0001183C, 0x0001189F}, {0x000118F3, 0x000118FE},
-{0x00011907, 0x00011908}, {0x0001190A, 0x0001190B}, {0x00011914, 0x00011914}, {0x00011917, 0x00011917},
-{0x00011936, 0x00011936}, {0x00011939, 0x0001193A}, {0x00011947, 0x0001194F}, {0x0001195A, 0x0001199F},
-{0x000119A8, 0x000119A9}, {0x000119D8, 0x000119D9}, {0x000119E5, 0x000119FF}, {0x00011A48, 0x00011A4F},
-{0x00011AA3, 0x00011AAF}, {0x00011AF9, 0x00011AFF}, {0x00011B0A, 0x00011BFF}, {0x00011C09, 0x00011C09},
-{0x00011C37, 0x00011C37}, {0x00011C46, 0x00011C4F}, {0x00011C6D, 0x00011C6F}, {0x00011C90, 0x00011C91},
-{0x00011CA8, 0x00011CA8}, {0x00011CB7, 0x00011CFF}, {0x00011D07, 0x00011D07}, {0x00011D0A, 0x00011D0A},
-{0x00011D37, 0x00011D39}, {0x00011D3B, 0x00011D3B}, {0x00011D3E, 0x00011D3E}, {0x00011D48, 0x00011D4F},
-{0x00011D5A, 0x00011D5F}, {0x00011D66, 0x00011D66}, {0x00011D69, 0x00011D69}, {0x00011D8F, 0x00011D8F},
-{0x00011D92, 0x00011D92}, {0x00011D99, 0x00011D9F}, {0x00011DAA, 0x00011EDF}, {0x00011EF9, 0x00011EFF},
-{0x00011F11, 0x00011F11}, {0x00011F3B, 0x00011F3D}, {0x00011F5A, 0x00011FAF}, {0x00011FB1, 0x00011FBF},
-{0x00011FF2, 0x00011FFE}, {0x0001239A, 0x000123FF}, {0x0001246F, 0x0001246F}, {0x00012475, 0x0001247F},
-{0x00012544, 0x00012F8F}, {0x00012FF3, 0x00012FFF}, {0x00013430, 0x0001343F}, {0x00013456, 0x000143FF},
-{0x00014647, 0x000167FF}, {0x00016A39, 0x00016A3F}, {0x00016A5F, 0x00016A5F}, {0x00016A6A, 0x00016A6D},
-{0x00016ABF, 0x00016ABF}, {0x00016ACA, 0x00016ACF}, {0x00016AEE, 0x00016AEF}, {0x00016AF6, 0x00016AFF},
-{0x00016B46, 0x00016B4F}, {0x00016B5A, 0x00016B5A}, {0x00016B62, 0x00016B62}, {0x00016B78, 0x00016B7C},
-{0x00016B90, 0x00016E3F}, {0x00016E9B, 0x00016EFF}, {0x00016F4B, 0x00016F4E}, {0x00016F88, 0x00016F8E},
-{0x00016FA0, 0x00016FDF}, {0x00016FE5, 0x00016FEF}, {0x00016FF2, 0x00016FFF}, {0x000187F8, 0x000187FF},
-{0x00018CD6, 0x00018CFF}, {0x00018D09, 0x0001AFEF}, {0x0001AFF4, 0x0001AFF4}, {0x0001AFFC, 0x0001AFFC},
-{0x0001AFFF, 0x0001AFFF}, {0x0001B123, 0x0001B131}, {0x0001B133, 0x0001B14F}, {0x0001B153, 0x0001B154},
-{0x0001B156, 0x0001B163}, {0x0001B168, 0x0001B16F}, {0x0001B2FC, 0x0001BBFF}, {0x0001BC6B, 0x0001BC6F},
-{0x0001BC7D, 0x0001BC7F}, {0x0001BC89, 0x0001BC8F}, {0x0001BC9A, 0x0001BC9B}, {0x0001BCA0, 0x0001CEFF},
-{0x0001CF2E, 0x0001CF2F}, {0x0001CF47, 0x0001CF4F}, {0x0001CFC4, 0x0001CFFF}, {0x0001D0F6, 0x0001D0FF},
-{0x0001D127, 0x0001D128}, {0x0001D173, 0x0001D17A}, {0x0001D1EB, 0x0001D1FF}, {0x0001D246, 0x0001D2BF},
-{0x0001D2D4, 0x0001D2DF}, {0x0001D2F4, 0x0001D2FF}, {0x0001D357, 0x0001D35F}, {0x0001D379, 0x0001D3FF},
-{0x0001D455, 0x0001D455}, {0x0001D49D, 0x0001D49D}, {0x0001D4A0, 0x0001D4A1}, {0x0001D4A3, 0x0001D4A4},
-{0x0001D4A7, 0x0001D4A8}, {0x0001D4AD, 0x0001D4AD}, {0x0001D4BA, 0x0001D4BA}, {0x0001D4BC, 0x0001D4BC},
-{0x0001D4C4, 0x0001D4C4}, {0x0001D506, 0x0001D506}, {0x0001D50B, 0x0001D50C}, {0x0001D515, 0x0001D515},
-{0x0001D51D, 0x0001D51D}, {0x0001D53A, 0x0001D53A}, {0x0001D53F, 0x0001D53F}, {0x0001D545, 0x0001D545},
-{0x0001D547, 0x0001D549}, {0x0001D551, 0x0001D551}, {0x0001D6A6, 0x0001D6A7}, {0x0001D7CC, 0x0001D7CD},
-{0x0001DA8C, 0x0001DA9A}, {0x0001DAA0, 0x0001DAA0}, {0x0001DAB0, 0x0001DEFF}, {0x0001DF1F, 0x0001DF24},
-{0x0001DF2B, 0x0001DFFF}, {0x0001E007, 0x0001E007}, {0x0001E019, 0x0001E01A}, {0x0001E022, 0x0001E022},
-{0x0001E025, 0x0001E025}, {0x0001E02B, 0x0001E02F}, {0x0001E06E, 0x0001E08E}, {0x0001E090, 0x0001E0FF},
-{0x0001E12D, 0x0001E12F}, {0x0001E13E, 0x0001E13F}, {0x0001E14A, 0x0001E14D}, {0x0001E150, 0x0001E28F},
-{0x0001E2AF, 0x0001E2BF}, {0x0001E2FA, 0x0001E2FE}, {0x0001E300, 0x0001E4CF}, {0x0001E4FA, 0x0001E7DF},
-{0x0001E7E7, 0x0001E7E7}, {0x0001E7EC, 0x0001E7EC}, {0x0001E7EF, 0x0001E7EF}, {0x0001E7FF, 0x0001E7FF},
-{0x0001E8C5, 0x0001E8C6}, {0x0001E8D7, 0x0001E8FF}, {0x0001E94C, 0x0001E94F}, {0x0001E95A, 0x0001E95D},
-{0x0001E960, 0x0001EC70}, {0x0001ECB5, 0x0001ED00}, {0x0001ED3E, 0x0001EDFF}, {0x0001EE04, 0x0001EE04},
-{0x0001EE20, 0x0001EE20}, {0x0001EE23, 0x0001EE23}, {0x0001EE25, 0x0001EE26}, {0x0001EE28, 0x0001EE28},
-{0x0001EE33, 0x0001EE33}, {0x0001EE38, 0x0001EE38}, {0x0001EE3A, 0x0001EE3A}, {0x0001EE3C, 0x0001EE41},
-{0x0001EE43, 0x0001EE46}, {0x0001EE48, 0x0001EE48}, {0x0001EE4A, 0x0001EE4A}, {0x0001EE4C, 0x0001EE4C},
-{0x0001EE50, 0x0001EE50}, {0x0001EE53, 0x0001EE53}, {0x0001EE55, 0x0001EE56}, {0x0001EE58, 0x0001EE58},
-{0x0001EE5A, 0x0001EE5A}, {0x0001EE5C, 0x0001EE5C}, {0x0001EE5E, 0x0001EE5E}, {0x0001EE60, 0x0001EE60},
-{0x0001EE63, 0x0001EE63}, {0x0001EE65, 0x0001EE66}, {0x0001EE6B, 0x0001EE6B}, {0x0001EE73, 0x0001EE73},
-{0x0001EE78, 0x0001EE78}, {0x0001EE7D, 0x0001EE7D}, {0x0001EE7F, 0x0001EE7F}, {0x0001EE8A, 0x0001EE8A},
-{0x0001EE9C, 0x0001EEA0}, {0x0001EEA4, 0x0001EEA4}, {0x0001EEAA, 0x0001EEAA}, {0x0001EEBC, 0x0001EEEF},
-{0x0001EEF2, 0x0001EFFF}, {0x0001F02C, 0x0001F02F}, {0x0001F094, 0x0001F09F}, {0x0001F0AF, 0x0001F0B0},
-{0x0001F0C0, 0x0001F0C0}, {0x0001F0D0, 0x0001F0D0}, {0x0001F0F6, 0x0001F0FF}, {0x0001F1AE, 0x0001F1E5},
-{0x0001F203, 0x0001F20F}, {0x0001F23C, 0x0001F23F}, {0x0001F249, 0x0001F24F}, {0x0001F252, 0x0001F25F},
-{0x0001F266, 0x0001F2FF}, {0x0001F6D8, 0x0001F6DB}, {0x0001F6ED, 0x0001F6EF}, {0x0001F6FD, 0x0001F6FF},
-{0x0001F777, 0x0001F77A}, {0x0001F7DA, 0x0001F7DF}, {0x0001F7EC, 0x0001F7EF}, {0x0001F7F1, 0x0001F7FF},
-{0x0001F80C, 0x0001F80F}, {0x0001F848, 0x0001F84F}, {0x0001F85A, 0x0001F85F}, {0x0001F888, 0x0001F88F},
-{0x0001F8AE, 0x0001F8AF}, {0x0001F8B2, 0x0001F8FF}, {0x0001FA54, 0x0001FA5F}, {0x0001FA6E, 0x0001FA6F},
-{0x0001FA7D, 0x0001FA7F}, {0x0001FA89, 0x0001FA8F}, {0x0001FABE, 0x0001FABE}, {0x0001FAC6, 0x0001FACD},
-{0x0001FADC, 0x0001FADF}, {0x0001FAE9, 0x0001FAEF}, {0x0001FAF9, 0x0001FAFF}, {0x0001FB93, 0x0001FB93},
-{0x0001FBCB, 0x0001FBEF}, {0x0001FBFA, 0x0001FFFF}, {0x0002A6E0, 0x0002A6FF}, {0x0002B73A, 0x0002B73F},
-{0x0002B81E, 0x0002B81F}, {0x0002CEA2, 0x0002CEAF}, {0x0002EBE1, 0x0002EBEF}, {0x0002EE5E, 0x0002F7FF},
-{0x0002FA1E, 0x0002FFFF}, {0x0003134B, 0x0003134F}, {0x000323B0, 0x000E00FF}, {0x000E01F0, 0x0010FFFF},
-};
-
-const std::map<char32_t, char32_t> unicode_map_lowercase = {
-{0x00000041, 0x00000061}, {0x00000042, 0x00000062}, {0x00000043, 0x00000063}, {0x00000044, 0x00000064},
-{0x00000045, 0x00000065}, {0x00000046, 0x00000066}, {0x00000047, 0x00000067}, {0x00000048, 0x00000068},
-{0x00000049, 0x00000069}, {0x0000004A, 0x0000006A}, {0x0000004B, 0x0000006B}, {0x0000004C, 0x0000006C},
-{0x0000004D, 0x0000006D}, {0x0000004E, 0x0000006E}, {0x0000004F, 0x0000006F}, {0x00000050, 0x00000070},
-{0x00000051, 0x00000071}, {0x00000052, 0x00000072}, {0x00000053, 0x00000073}, {0x00000054, 0x00000074},
-{0x00000055, 0x00000075}, {0x00000056, 0x00000076}, {0x00000057, 0x00000077}, {0x00000058, 0x00000078},
-{0x00000059, 0x00000079}, {0x0000005A, 0x0000007A}, {0x000000C0, 0x000000E0}, {0x000000C1, 0x000000E1},
-{0x000000C2, 0x000000E2}, {0x000000C3, 0x000000E3}, {0x000000C4, 0x000000E4}, {0x000000C5, 0x000000E5},
-{0x000000C6, 0x000000E6}, {0x000000C7, 0x000000E7}, {0x000000C8, 0x000000E8}, {0x000000C9, 0x000000E9},
-{0x000000CA, 0x000000EA}, {0x000000CB, 0x000000EB}, {0x000000CC, 0x000000EC}, {0x000000CD, 0x000000ED},
-{0x000000CE, 0x000000EE}, {0x000000CF, 0x000000EF}, {0x000000D0, 0x000000F0}, {0x000000D1, 0x000000F1},
-{0x000000D2, 0x000000F2}, {0x000000D3, 0x000000F3}, {0x000000D4, 0x000000F4}, {0x000000D5, 0x000000F5},
-{0x000000D6, 0x000000F6}, {0x000000D8, 0x000000F8}, {0x000000D9, 0x000000F9}, {0x000000DA, 0x000000FA},
-{0x000000DB, 0x000000FB}, {0x000000DC, 0x000000FC}, {0x000000DD, 0x000000FD}, {0x000000DE, 0x000000FE},
-{0x00000100, 0x00000101}, {0x00000102, 0x00000103}, {0x00000104, 0x00000105}, {0x00000106, 0x00000107},
-{0x00000108, 0x00000109}, {0x0000010A, 0x0000010B}, {0x0000010C, 0x0000010D}, {0x0000010E, 0x0000010F},
-{0x00000110, 0x00000111}, {0x00000112, 0x00000113}, {0x00000114, 0x00000115}, {0x00000116, 0x00000117},
-{0x00000118, 0x00000119}, {0x0000011A, 0x0000011B}, {0x0000011C, 0x0000011D}, {0x0000011E, 0x0000011F},
-{0x00000120, 0x00000121}, {0x00000122, 0x00000123}, {0x00000124, 0x00000125}, {0x00000126, 0x00000127},
-{0x00000128, 0x00000129}, {0x0000012A, 0x0000012B}, {0x0000012C, 0x0000012D}, {0x0000012E, 0x0000012F},
-{0x00000130, 0x00000069}, {0x00000132, 0x00000133}, {0x00000134, 0x00000135}, {0x00000136, 0x00000137},
-{0x00000139, 0x0000013A}, {0x0000013B, 0x0000013C}, {0x0000013D, 0x0000013E}, {0x0000013F, 0x00000140},
-{0x00000141, 0x00000142}, {0x00000143, 0x00000144}, {0x00000145, 0x00000146}, {0x00000147, 0x00000148},
-{0x0000014A, 0x0000014B}, {0x0000014C, 0x0000014D}, {0x0000014E, 0x0000014F}, {0x00000150, 0x00000151},
-{0x00000152, 0x00000153}, {0x00000154, 0x00000155}, {0x00000156, 0x00000157}, {0x00000158, 0x00000159},
-{0x0000015A, 0x0000015B}, {0x0000015C, 0x0000015D}, {0x0000015E, 0x0000015F}, {0x00000160, 0x00000161},
-{0x00000162, 0x00000163}, {0x00000164, 0x00000165}, {0x00000166, 0x00000167}, {0x00000168, 0x00000169},
-{0x0000016A, 0x0000016B}, {0x0000016C, 0x0000016D}, {0x0000016E, 0x0000016F}, {0x00000170, 0x00000171},
-{0x00000172, 0x00000173}, {0x00000174, 0x00000175}, {0x00000176, 0x00000177}, {0x00000178, 0x000000FF},
-{0x00000179, 0x0000017A}, {0x0000017B, 0x0000017C}, {0x0000017D, 0x0000017E}, {0x00000181, 0x00000253},
-{0x00000182, 0x00000183}, {0x00000184, 0x00000185}, {0x00000186, 0x00000254}, {0x00000187, 0x00000188},
-{0x00000189, 0x00000256}, {0x0000018A, 0x00000257}, {0x0000018B, 0x0000018C}, {0x0000018E, 0x000001DD},
-{0x0000018F, 0x00000259}, {0x00000190, 0x0000025B}, {0x00000191, 0x00000192}, {0x00000193, 0x00000260},
-{0x00000194, 0x00000263}, {0x00000196, 0x00000269}, {0x00000197, 0x00000268}, {0x00000198, 0x00000199},
-{0x0000019C, 0x0000026F}, {0x0000019D, 0x00000272}, {0x0000019F, 0x00000275}, {0x000001A0, 0x000001A1},
-{0x000001A2, 0x000001A3}, {0x000001A4, 0x000001A5}, {0x000001A6, 0x00000280}, {0x000001A7, 0x000001A8},
-{0x000001A9, 0x00000283}, {0x000001AC, 0x000001AD}, {0x000001AE, 0x00000288}, {0x000001AF, 0x000001B0},
-{0x000001B1, 0x0000028A}, {0x000001B2, 0x0000028B}, {0x000001B3, 0x000001B4}, {0x000001B5, 0x000001B6},
-{0x000001B7, 0x00000292}, {0x000001B8, 0x000001B9}, {0x000001BC, 0x000001BD}, {0x000001C4, 0x000001C6},
-{0x000001C5, 0x000001C6}, {0x000001C7, 0x000001C9}, {0x000001C8, 0x000001C9}, {0x000001CA, 0x000001CC},
-{0x000001CB, 0x000001CC}, {0x000001CD, 0x000001CE}, {0x000001CF, 0x000001D0}, {0x000001D1, 0x000001D2},
-{0x000001D3, 0x000001D4}, {0x000001D5, 0x000001D6}, {0x000001D7, 0x000001D8}, {0x000001D9, 0x000001DA},
-{0x000001DB, 0x000001DC}, {0x000001DE, 0x000001DF}, {0x000001E0, 0x000001E1}, {0x000001E2, 0x000001E3},
-{0x000001E4, 0x000001E5}, {0x000001E6, 0x000001E7}, {0x000001E8, 0x000001E9}, {0x000001EA, 0x000001EB},
-{0x000001EC, 0x000001ED}, {0x000001EE, 0x000001EF}, {0x000001F1, 0x000001F3}, {0x000001F2, 0x000001F3},
-{0x000001F4, 0x000001F5}, {0x000001F6, 0x00000195}, {0x000001F7, 0x000001BF}, {0x000001F8, 0x000001F9},
-{0x000001FA, 0x000001FB}, {0x000001FC, 0x000001FD}, {0x000001FE, 0x000001FF}, {0x00000200, 0x00000201},
-{0x00000202, 0x00000203}, {0x00000204, 0x00000205}, {0x00000206, 0x00000207}, {0x00000208, 0x00000209},
-{0x0000020A, 0x0000020B}, {0x0000020C, 0x0000020D}, {0x0000020E, 0x0000020F}, {0x00000210, 0x00000211},
-{0x00000212, 0x00000213}, {0x00000214, 0x00000215}, {0x00000216, 0x00000217}, {0x00000218, 0x00000219},
-{0x0000021A, 0x0000021B}, {0x0000021C, 0x0000021D}, {0x0000021E, 0x0000021F}, {0x00000220, 0x0000019E},
-{0x00000222, 0x00000223}, {0x00000224, 0x00000225}, {0x00000226, 0x00000227}, {0x00000228, 0x00000229},
-{0x0000022A, 0x0000022B}, {0x0000022C, 0x0000022D}, {0x0000022E, 0x0000022F}, {0x00000230, 0x00000231},
-{0x00000232, 0x00000233}, {0x0000023A, 0x00002C65}, {0x0000023B, 0x0000023C}, {0x0000023D, 0x0000019A},
-{0x0000023E, 0x00002C66}, {0x00000241, 0x00000242}, {0x00000243, 0x00000180}, {0x00000244, 0x00000289},
-{0x00000245, 0x0000028C}, {0x00000246, 0x00000247}, {0x00000248, 0x00000249}, {0x0000024A, 0x0000024B},
-{0x0000024C, 0x0000024D}, {0x0000024E, 0x0000024F}, {0x00000370, 0x00000371}, {0x00000372, 0x00000373},
-{0x00000376, 0x00000377}, {0x0000037F, 0x000003F3}, {0x00000386, 0x000003AC}, {0x00000388, 0x000003AD},
-{0x00000389, 0x000003AE}, {0x0000038A, 0x000003AF}, {0x0000038C, 0x000003CC}, {0x0000038E, 0x000003CD},
-{0x0000038F, 0x000003CE}, {0x00000391, 0x000003B1}, {0x00000392, 0x000003B2}, {0x00000393, 0x000003B3},
-{0x00000394, 0x000003B4}, {0x00000395, 0x000003B5}, {0x00000396, 0x000003B6}, {0x00000397, 0x000003B7},
-{0x00000398, 0x000003B8}, {0x00000399, 0x000003B9}, {0x0000039A, 0x000003BA}, {0x0000039B, 0x000003BB},
-{0x0000039C, 0x000003BC}, {0x0000039D, 0x000003BD}, {0x0000039E, 0x000003BE}, {0x0000039F, 0x000003BF},
-{0x000003A0, 0x000003C0}, {0x000003A1, 0x000003C1}, {0x000003A3, 0x000003C3}, {0x000003A4, 0x000003C4},
-{0x000003A5, 0x000003C5}, {0x000003A6, 0x000003C6}, {0x000003A7, 0x000003C7}, {0x000003A8, 0x000003C8},
-{0x000003A9, 0x000003C9}, {0x000003AA, 0x000003CA}, {0x000003AB, 0x000003CB}, {0x000003CF, 0x000003D7},
-{0x000003D8, 0x000003D9}, {0x000003DA, 0x000003DB}, {0x000003DC, 0x000003DD}, {0x000003DE, 0x000003DF},
-{0x000003E0, 0x000003E1}, {0x000003E2, 0x000003E3}, {0x000003E4, 0x000003E5}, {0x000003E6, 0x000003E7},
-{0x000003E8, 0x000003E9}, {0x000003EA, 0x000003EB}, {0x000003EC, 0x000003ED}, {0x000003EE, 0x000003EF},
-{0x000003F4, 0x000003B8}, {0x000003F7, 0x000003F8}, {0x000003F9, 0x000003F2}, {0x000003FA, 0x000003FB},
-{0x000003FD, 0x0000037B}, {0x000003FE, 0x0000037C}, {0x000003FF, 0x0000037D}, {0x00000400, 0x00000450},
-{0x00000401, 0x00000451}, {0x00000402, 0x00000452}, {0x00000403, 0x00000453}, {0x00000404, 0x00000454},
-{0x00000405, 0x00000455}, {0x00000406, 0x00000456}, {0x00000407, 0x00000457}, {0x00000408, 0x00000458},
-{0x00000409, 0x00000459}, {0x0000040A, 0x0000045A}, {0x0000040B, 0x0000045B}, {0x0000040C, 0x0000045C},
-{0x0000040D, 0x0000045D}, {0x0000040E, 0x0000045E}, {0x0000040F, 0x0000045F}, {0x00000410, 0x00000430},
-{0x00000411, 0x00000431}, {0x00000412, 0x00000432}, {0x00000413, 0x00000433}, {0x00000414, 0x00000434},
-{0x00000415, 0x00000435}, {0x00000416, 0x00000436}, {0x00000417, 0x00000437}, {0x00000418, 0x00000438},
-{0x00000419, 0x00000439}, {0x0000041A, 0x0000043A}, {0x0000041B, 0x0000043B}, {0x0000041C, 0x0000043C},
-{0x0000041D, 0x0000043D}, {0x0000041E, 0x0000043E}, {0x0000041F, 0x0000043F}, {0x00000420, 0x00000440},
-{0x00000421, 0x00000441}, {0x00000422, 0x00000442}, {0x00000423, 0x00000443}, {0x00000424, 0x00000444},
-{0x00000425, 0x00000445}, {0x00000426, 0x00000446}, {0x00000427, 0x00000447}, {0x00000428, 0x00000448},
-{0x00000429, 0x00000449}, {0x0000042A, 0x0000044A}, {0x0000042B, 0x0000044B}, {0x0000042C, 0x0000044C},
-{0x0000042D, 0x0000044D}, {0x0000042E, 0x0000044E}, {0x0000042F, 0x0000044F}, {0x00000460, 0x00000461},
-{0x00000462, 0x00000463}, {0x00000464, 0x00000465}, {0x00000466, 0x00000467}, {0x00000468, 0x00000469},
-{0x0000046A, 0x0000046B}, {0x0000046C, 0x0000046D}, {0x0000046E, 0x0000046F}, {0x00000470, 0x00000471},
-{0x00000472, 0x00000473}, {0x00000474, 0x00000475}, {0x00000476, 0x00000477}, {0x00000478, 0x00000479},
-{0x0000047A, 0x0000047B}, {0x0000047C, 0x0000047D}, {0x0000047E, 0x0000047F}, {0x00000480, 0x00000481},
-{0x0000048A, 0x0000048B}, {0x0000048C, 0x0000048D}, {0x0000048E, 0x0000048F}, {0x00000490, 0x00000491},
-{0x00000492, 0x00000493}, {0x00000494, 0x00000495}, {0x00000496, 0x00000497}, {0x00000498, 0x00000499},
-{0x0000049A, 0x0000049B}, {0x0000049C, 0x0000049D}, {0x0000049E, 0x0000049F}, {0x000004A0, 0x000004A1},
-{0x000004A2, 0x000004A3}, {0x000004A4, 0x000004A5}, {0x000004A6, 0x000004A7}, {0x000004A8, 0x000004A9},
-{0x000004AA, 0x000004AB}, {0x000004AC, 0x000004AD}, {0x000004AE, 0x000004AF}, {0x000004B0, 0x000004B1},
-{0x000004B2, 0x000004B3}, {0x000004B4, 0x000004B5}, {0x000004B6, 0x000004B7}, {0x000004B8, 0x000004B9},
-{0x000004BA, 0x000004BB}, {0x000004BC, 0x000004BD}, {0x000004BE, 0x000004BF}, {0x000004C0, 0x000004CF},
-{0x000004C1, 0x000004C2}, {0x000004C3, 0x000004C4}, {0x000004C5, 0x000004C6}, {0x000004C7, 0x000004C8},
-{0x000004C9, 0x000004CA}, {0x000004CB, 0x000004CC}, {0x000004CD, 0x000004CE}, {0x000004D0, 0x000004D1},
-{0x000004D2, 0x000004D3}, {0x000004D4, 0x000004D5}, {0x000004D6, 0x000004D7}, {0x000004D8, 0x000004D9},
-{0x000004DA, 0x000004DB}, {0x000004DC, 0x000004DD}, {0x000004DE, 0x000004DF}, {0x000004E0, 0x000004E1},
-{0x000004E2, 0x000004E3}, {0x000004E4, 0x000004E5}, {0x000004E6, 0x000004E7}, {0x000004E8, 0x000004E9},
-{0x000004EA, 0x000004EB}, {0x000004EC, 0x000004ED}, {0x000004EE, 0x000004EF}, {0x000004F0, 0x000004F1},
-{0x000004F2, 0x000004F3}, {0x000004F4, 0x000004F5}, {0x000004F6, 0x000004F7}, {0x000004F8, 0x000004F9},
-{0x000004FA, 0x000004FB}, {0x000004FC, 0x000004FD}, {0x000004FE, 0x000004FF}, {0x00000500, 0x00000501},
-{0x00000502, 0x00000503}, {0x00000504, 0x00000505}, {0x00000506, 0x00000507}, {0x00000508, 0x00000509},
-{0x0000050A, 0x0000050B}, {0x0000050C, 0x0000050D}, {0x0000050E, 0x0000050F}, {0x00000510, 0x00000511},
-{0x00000512, 0x00000513}, {0x00000514, 0x00000515}, {0x00000516, 0x00000517}, {0x00000518, 0x00000519},
-{0x0000051A, 0x0000051B}, {0x0000051C, 0x0000051D}, {0x0000051E, 0x0000051F}, {0x00000520, 0x00000521},
-{0x00000522, 0x00000523}, {0x00000524, 0x00000525}, {0x00000526, 0x00000527}, {0x00000528, 0x00000529},
-{0x0000052A, 0x0000052B}, {0x0000052C, 0x0000052D}, {0x0000052E, 0x0000052F}, {0x00000531, 0x00000561},
-{0x00000532, 0x00000562}, {0x00000533, 0x00000563}, {0x00000534, 0x00000564}, {0x00000535, 0x00000565},
-{0x00000536, 0x00000566}, {0x00000537, 0x00000567}, {0x00000538, 0x00000568}, {0x00000539, 0x00000569},
-{0x0000053A, 0x0000056A}, {0x0000053B, 0x0000056B}, {0x0000053C, 0x0000056C}, {0x0000053D, 0x0000056D},
-{0x0000053E, 0x0000056E}, {0x0000053F, 0x0000056F}, {0x00000540, 0x00000570}, {0x00000541, 0x00000571},
-{0x00000542, 0x00000572}, {0x00000543, 0x00000573}, {0x00000544, 0x00000574}, {0x00000545, 0x00000575},
-{0x00000546, 0x00000576}, {0x00000547, 0x00000577}, {0x00000548, 0x00000578}, {0x00000549, 0x00000579},
-{0x0000054A, 0x0000057A}, {0x0000054B, 0x0000057B}, {0x0000054C, 0x0000057C}, {0x0000054D, 0x0000057D},
-{0x0000054E, 0x0000057E}, {0x0000054F, 0x0000057F}, {0x00000550, 0x00000580}, {0x00000551, 0x00000581},
-{0x00000552, 0x00000582}, {0x00000553, 0x00000583}, {0x00000554, 0x00000584}, {0x00000555, 0x00000585},
-{0x00000556, 0x00000586}, {0x000010A0, 0x00002D00}, {0x000010A1, 0x00002D01}, {0x000010A2, 0x00002D02},
-{0x000010A3, 0x00002D03}, {0x000010A4, 0x00002D04}, {0x000010A5, 0x00002D05}, {0x000010A6, 0x00002D06},
-{0x000010A7, 0x00002D07}, {0x000010A8, 0x00002D08}, {0x000010A9, 0x00002D09}, {0x000010AA, 0x00002D0A},
-{0x000010AB, 0x00002D0B}, {0x000010AC, 0x00002D0C}, {0x000010AD, 0x00002D0D}, {0x000010AE, 0x00002D0E},
-{0x000010AF, 0x00002D0F}, {0x000010B0, 0x00002D10}, {0x000010B1, 0x00002D11}, {0x000010B2, 0x00002D12},
-{0x000010B3, 0x00002D13}, {0x000010B4, 0x00002D14}, {0x000010B5, 0x00002D15}, {0x000010B6, 0x00002D16},
-{0x000010B7, 0x00002D17}, {0x000010B8, 0x00002D18}, {0x000010B9, 0x00002D19}, {0x000010BA, 0x00002D1A},
-{0x000010BB, 0x00002D1B}, {0x000010BC, 0x00002D1C}, {0x000010BD, 0x00002D1D}, {0x000010BE, 0x00002D1E},
-{0x000010BF, 0x00002D1F}, {0x000010C0, 0x00002D20}, {0x000010C1, 0x00002D21}, {0x000010C2, 0x00002D22},
-{0x000010C3, 0x00002D23}, {0x000010C4, 0x00002D24}, {0x000010C5, 0x00002D25}, {0x000010C7, 0x00002D27},
-{0x000010CD, 0x00002D2D}, {0x000013A0, 0x0000AB70}, {0x000013A1, 0x0000AB71}, {0x000013A2, 0x0000AB72},
-{0x000013A3, 0x0000AB73}, {0x000013A4, 0x0000AB74}, {0x000013A5, 0x0000AB75}, {0x000013A6, 0x0000AB76},
-{0x000013A7, 0x0000AB77}, {0x000013A8, 0x0000AB78}, {0x000013A9, 0x0000AB79}, {0x000013AA, 0x0000AB7A},
-{0x000013AB, 0x0000AB7B}, {0x000013AC, 0x0000AB7C}, {0x000013AD, 0x0000AB7D}, {0x000013AE, 0x0000AB7E},
-{0x000013AF, 0x0000AB7F}, {0x000013B0, 0x0000AB80}, {0x000013B1, 0x0000AB81}, {0x000013B2, 0x0000AB82},
-{0x000013B3, 0x0000AB83}, {0x000013B4, 0x0000AB84}, {0x000013B5, 0x0000AB85}, {0x000013B6, 0x0000AB86},
-{0x000013B7, 0x0000AB87}, {0x000013B8, 0x0000AB88}, {0x000013B9, 0x0000AB89}, {0x000013BA, 0x0000AB8A},
-{0x000013BB, 0x0000AB8B}, {0x000013BC, 0x0000AB8C}, {0x000013BD, 0x0000AB8D}, {0x000013BE, 0x0000AB8E},
-{0x000013BF, 0x0000AB8F}, {0x000013C0, 0x0000AB90}, {0x000013C1, 0x0000AB91}, {0x000013C2, 0x0000AB92},
-{0x000013C3, 0x0000AB93}, {0x000013C4, 0x0000AB94}, {0x000013C5, 0x0000AB95}, {0x000013C6, 0x0000AB96},
-{0x000013C7, 0x0000AB97}, {0x000013C8, 0x0000AB98}, {0x000013C9, 0x0000AB99}, {0x000013CA, 0x0000AB9A},
-{0x000013CB, 0x0000AB9B}, {0x000013CC, 0x0000AB9C}, {0x000013CD, 0x0000AB9D}, {0x000013CE, 0x0000AB9E},
-{0x000013CF, 0x0000AB9F}, {0x000013D0, 0x0000ABA0}, {0x000013D1, 0x0000ABA1}, {0x000013D2, 0x0000ABA2},
-{0x000013D3, 0x0000ABA3}, {0x000013D4, 0x0000ABA4}, {0x000013D5, 0x0000ABA5}, {0x000013D6, 0x0000ABA6},
-{0x000013D7, 0x0000ABA7}, {0x000013D8, 0x0000ABA8}, {0x000013D9, 0x0000ABA9}, {0x000013DA, 0x0000ABAA},
-{0x000013DB, 0x0000ABAB}, {0x000013DC, 0x0000ABAC}, {0x000013DD, 0x0000ABAD}, {0x000013DE, 0x0000ABAE},
-{0x000013DF, 0x0000ABAF}, {0x000013E0, 0x0000ABB0}, {0x000013E1, 0x0000ABB1}, {0x000013E2, 0x0000ABB2},
-{0x000013E3, 0x0000ABB3}, {0x000013E4, 0x0000ABB4}, {0x000013E5, 0x0000ABB5}, {0x000013E6, 0x0000ABB6},
-{0x000013E7, 0x0000ABB7}, {0x000013E8, 0x0000ABB8}, {0x000013E9, 0x0000ABB9}, {0x000013EA, 0x0000ABBA},
-{0x000013EB, 0x0000ABBB}, {0x000013EC, 0x0000ABBC}, {0x000013ED, 0x0000ABBD}, {0x000013EE, 0x0000ABBE},
-{0x000013EF, 0x0000ABBF}, {0x000013F0, 0x000013F8}, {0x000013F1, 0x000013F9}, {0x000013F2, 0x000013FA},
-{0x000013F3, 0x000013FB}, {0x000013F4, 0x000013FC}, {0x000013F5, 0x000013FD}, {0x00001C90, 0x000010D0},
-{0x00001C91, 0x000010D1}, {0x00001C92, 0x000010D2}, {0x00001C93, 0x000010D3}, {0x00001C94, 0x000010D4},
-{0x00001C95, 0x000010D5}, {0x00001C96, 0x000010D6}, {0x00001C97, 0x000010D7}, {0x00001C98, 0x000010D8},
-{0x00001C99, 0x000010D9}, {0x00001C9A, 0x000010DA}, {0x00001C9B, 0x000010DB}, {0x00001C9C, 0x000010DC},
-{0x00001C9D, 0x000010DD}, {0x00001C9E, 0x000010DE}, {0x00001C9F, 0x000010DF}, {0x00001CA0, 0x000010E0},
-{0x00001CA1, 0x000010E1}, {0x00001CA2, 0x000010E2}, {0x00001CA3, 0x000010E3}, {0x00001CA4, 0x000010E4},
-{0x00001CA5, 0x000010E5}, {0x00001CA6, 0x000010E6}, {0x00001CA7, 0x000010E7}, {0x00001CA8, 0x000010E8},
-{0x00001CA9, 0x000010E9}, {0x00001CAA, 0x000010EA}, {0x00001CAB, 0x000010EB}, {0x00001CAC, 0x000010EC},
-{0x00001CAD, 0x000010ED}, {0x00001CAE, 0x000010EE}, {0x00001CAF, 0x000010EF}, {0x00001CB0, 0x000010F0},
-{0x00001CB1, 0x000010F1}, {0x00001CB2, 0x000010F2}, {0x00001CB3, 0x000010F3}, {0x00001CB4, 0x000010F4},
-{0x00001CB5, 0x000010F5}, {0x00001CB6, 0x000010F6}, {0x00001CB7, 0x000010F7}, {0x00001CB8, 0x000010F8},
-{0x00001CB9, 0x000010F9}, {0x00001CBA, 0x000010FA}, {0x00001CBD, 0x000010FD}, {0x00001CBE, 0x000010FE},
-{0x00001CBF, 0x000010FF}, {0x00001E00, 0x00001E01}, {0x00001E02, 0x00001E03}, {0x00001E04, 0x00001E05},
-{0x00001E06, 0x00001E07}, {0x00001E08, 0x00001E09}, {0x00001E0A, 0x00001E0B}, {0x00001E0C, 0x00001E0D},
-{0x00001E0E, 0x00001E0F}, {0x00001E10, 0x00001E11}, {0x00001E12, 0x00001E13}, {0x00001E14, 0x00001E15},
-{0x00001E16, 0x00001E17}, {0x00001E18, 0x00001E19}, {0x00001E1A, 0x00001E1B}, {0x00001E1C, 0x00001E1D},
-{0x00001E1E, 0x00001E1F}, {0x00001E20, 0x00001E21}, {0x00001E22, 0x00001E23}, {0x00001E24, 0x00001E25},
-{0x00001E26, 0x00001E27}, {0x00001E28, 0x00001E29}, {0x00001E2A, 0x00001E2B}, {0x00001E2C, 0x00001E2D},
-{0x00001E2E, 0x00001E2F}, {0x00001E30, 0x00001E31}, {0x00001E32, 0x00001E33}, {0x00001E34, 0x00001E35},
-{0x00001E36, 0x00001E37}, {0x00001E38, 0x00001E39}, {0x00001E3A, 0x00001E3B}, {0x00001E3C, 0x00001E3D},
-{0x00001E3E, 0x00001E3F}, {0x00001E40, 0x00001E41}, {0x00001E42, 0x00001E43}, {0x00001E44, 0x00001E45},
-{0x00001E46, 0x00001E47}, {0x00001E48, 0x00001E49}, {0x00001E4A, 0x00001E4B}, {0x00001E4C, 0x00001E4D},
-{0x00001E4E, 0x00001E4F}, {0x00001E50, 0x00001E51}, {0x00001E52, 0x00001E53}, {0x00001E54, 0x00001E55},
-{0x00001E56, 0x00001E57}, {0x00001E58, 0x00001E59}, {0x00001E5A, 0x00001E5B}, {0x00001E5C, 0x00001E5D},
-{0x00001E5E, 0x00001E5F}, {0x00001E60, 0x00001E61}, {0x00001E62, 0x00001E63}, {0x00001E64, 0x00001E65},
-{0x00001E66, 0x00001E67}, {0x00001E68, 0x00001E69}, {0x00001E6A, 0x00001E6B}, {0x00001E6C, 0x00001E6D},
-{0x00001E6E, 0x00001E6F}, {0x00001E70, 0x00001E71}, {0x00001E72, 0x00001E73}, {0x00001E74, 0x00001E75},
-{0x00001E76, 0x00001E77}, {0x00001E78, 0x00001E79}, {0x00001E7A, 0x00001E7B}, {0x00001E7C, 0x00001E7D},
-{0x00001E7E, 0x00001E7F}, {0x00001E80, 0x00001E81}, {0x00001E82, 0x00001E83}, {0x00001E84, 0x00001E85},
-{0x00001E86, 0x00001E87}, {0x00001E88, 0x00001E89}, {0x00001E8A, 0x00001E8B}, {0x00001E8C, 0x00001E8D},
-{0x00001E8E, 0x00001E8F}, {0x00001E90, 0x00001E91}, {0x00001E92, 0x00001E93}, {0x00001E94, 0x00001E95},
-{0x00001E9E, 0x000000DF}, {0x00001EA0, 0x00001EA1}, {0x00001EA2, 0x00001EA3}, {0x00001EA4, 0x00001EA5},
-{0x00001EA6, 0x00001EA7}, {0x00001EA8, 0x00001EA9}, {0x00001EAA, 0x00001EAB}, {0x00001EAC, 0x00001EAD},
-{0x00001EAE, 0x00001EAF}, {0x00001EB0, 0x00001EB1}, {0x00001EB2, 0x00001EB3}, {0x00001EB4, 0x00001EB5},
-{0x00001EB6, 0x00001EB7}, {0x00001EB8, 0x00001EB9}, {0x00001EBA, 0x00001EBB}, {0x00001EBC, 0x00001EBD},
-{0x00001EBE, 0x00001EBF}, {0x00001EC0, 0x00001EC1}, {0x00001EC2, 0x00001EC3}, {0x00001EC4, 0x00001EC5},
-{0x00001EC6, 0x00001EC7}, {0x00001EC8, 0x00001EC9}, {0x00001ECA, 0x00001ECB}, {0x00001ECC, 0x00001ECD},
-{0x00001ECE, 0x00001ECF}, {0x00001ED0, 0x00001ED1}, {0x00001ED2, 0x00001ED3}, {0x00001ED4, 0x00001ED5},
-{0x00001ED6, 0x00001ED7}, {0x00001ED8, 0x00001ED9}, {0x00001EDA, 0x00001EDB}, {0x00001EDC, 0x00001EDD},
-{0x00001EDE, 0x00001EDF}, {0x00001EE0, 0x00001EE1}, {0x00001EE2, 0x00001EE3}, {0x00001EE4, 0x00001EE5},
-{0x00001EE6, 0x00001EE7}, {0x00001EE8, 0x00001EE9}, {0x00001EEA, 0x00001EEB}, {0x00001EEC, 0x00001EED},
-{0x00001EEE, 0x00001EEF}, {0x00001EF0, 0x00001EF1}, {0x00001EF2, 0x00001EF3}, {0x00001EF4, 0x00001EF5},
-{0x00001EF6, 0x00001EF7}, {0x00001EF8, 0x00001EF9}, {0x00001EFA, 0x00001EFB}, {0x00001EFC, 0x00001EFD},
-{0x00001EFE, 0x00001EFF}, {0x00001F08, 0x00001F00}, {0x00001F09, 0x00001F01}, {0x00001F0A, 0x00001F02},
-{0x00001F0B, 0x00001F03}, {0x00001F0C, 0x00001F04}, {0x00001F0D, 0x00001F05}, {0x00001F0E, 0x00001F06},
-{0x00001F0F, 0x00001F07}, {0x00001F18, 0x00001F10}, {0x00001F19, 0x00001F11}, {0x00001F1A, 0x00001F12},
-{0x00001F1B, 0x00001F13}, {0x00001F1C, 0x00001F14}, {0x00001F1D, 0x00001F15}, {0x00001F28, 0x00001F20},
-{0x00001F29, 0x00001F21}, {0x00001F2A, 0x00001F22}, {0x00001F2B, 0x00001F23}, {0x00001F2C, 0x00001F24},
-{0x00001F2D, 0x00001F25}, {0x00001F2E, 0x00001F26}, {0x00001F2F, 0x00001F27}, {0x00001F38, 0x00001F30},
-{0x00001F39, 0x00001F31}, {0x00001F3A, 0x00001F32}, {0x00001F3B, 0x00001F33}, {0x00001F3C, 0x00001F34},
-{0x00001F3D, 0x00001F35}, {0x00001F3E, 0x00001F36}, {0x00001F3F, 0x00001F37}, {0x00001F48, 0x00001F40},
-{0x00001F49, 0x00001F41}, {0x00001F4A, 0x00001F42}, {0x00001F4B, 0x00001F43}, {0x00001F4C, 0x00001F44},
-{0x00001F4D, 0x00001F45}, {0x00001F59, 0x00001F51}, {0x00001F5B, 0x00001F53}, {0x00001F5D, 0x00001F55},
-{0x00001F5F, 0x00001F57}, {0x00001F68, 0x00001F60}, {0x00001F69, 0x00001F61}, {0x00001F6A, 0x00001F62},
-{0x00001F6B, 0x00001F63}, {0x00001F6C, 0x00001F64}, {0x00001F6D, 0x00001F65}, {0x00001F6E, 0x00001F66},
-{0x00001F6F, 0x00001F67}, {0x00001F88, 0x00001F80}, {0x00001F89, 0x00001F81}, {0x00001F8A, 0x00001F82},
-{0x00001F8B, 0x00001F83}, {0x00001F8C, 0x00001F84}, {0x00001F8D, 0x00001F85}, {0x00001F8E, 0x00001F86},
-{0x00001F8F, 0x00001F87}, {0x00001F98, 0x00001F90}, {0x00001F99, 0x00001F91}, {0x00001F9A, 0x00001F92},
-{0x00001F9B, 0x00001F93}, {0x00001F9C, 0x00001F94}, {0x00001F9D, 0x00001F95}, {0x00001F9E, 0x00001F96},
-{0x00001F9F, 0x00001F97}, {0x00001FA8, 0x00001FA0}, {0x00001FA9, 0x00001FA1}, {0x00001FAA, 0x00001FA2},
-{0x00001FAB, 0x00001FA3}, {0x00001FAC, 0x00001FA4}, {0x00001FAD, 0x00001FA5}, {0x00001FAE, 0x00001FA6},
-{0x00001FAF, 0x00001FA7}, {0x00001FB8, 0x00001FB0}, {0x00001FB9, 0x00001FB1}, {0x00001FBA, 0x00001F70},
-{0x00001FBB, 0x00001F71}, {0x00001FBC, 0x00001FB3}, {0x00001FC8, 0x00001F72}, {0x00001FC9, 0x00001F73},
-{0x00001FCA, 0x00001F74}, {0x00001FCB, 0x00001F75}, {0x00001FCC, 0x00001FC3}, {0x00001FD8, 0x00001FD0},
-{0x00001FD9, 0x00001FD1}, {0x00001FDA, 0x00001F76}, {0x00001FDB, 0x00001F77}, {0x00001FE8, 0x00001FE0},
-{0x00001FE9, 0x00001FE1}, {0x00001FEA, 0x00001F7A}, {0x00001FEB, 0x00001F7B}, {0x00001FEC, 0x00001FE5},
-{0x00001FF8, 0x00001F78}, {0x00001FF9, 0x00001F79}, {0x00001FFA, 0x00001F7C}, {0x00001FFB, 0x00001F7D},
-{0x00001FFC, 0x00001FF3}, {0x00002126, 0x000003C9}, {0x0000212A, 0x0000006B}, {0x0000212B, 0x000000E5},
-{0x00002132, 0x0000214E}, {0x00002160, 0x00002170}, {0x00002161, 0x00002171}, {0x00002162, 0x00002172},
-{0x00002163, 0x00002173}, {0x00002164, 0x00002174}, {0x00002165, 0x00002175}, {0x00002166, 0x00002176},
-{0x00002167, 0x00002177}, {0x00002168, 0x00002178}, {0x00002169, 0x00002179}, {0x0000216A, 0x0000217A},
-{0x0000216B, 0x0000217B}, {0x0000216C, 0x0000217C}, {0x0000216D, 0x0000217D}, {0x0000216E, 0x0000217E},
-{0x0000216F, 0x0000217F}, {0x00002183, 0x00002184}, {0x000024B6, 0x000024D0}, {0x000024B7, 0x000024D1},
-{0x000024B8, 0x000024D2}, {0x000024B9, 0x000024D3}, {0x000024BA, 0x000024D4}, {0x000024BB, 0x000024D5},
-{0x000024BC, 0x000024D6}, {0x000024BD, 0x000024D7}, {0x000024BE, 0x000024D8}, {0x000024BF, 0x000024D9},
-{0x000024C0, 0x000024DA}, {0x000024C1, 0x000024DB}, {0x000024C2, 0x000024DC}, {0x000024C3, 0x000024DD},
-{0x000024C4, 0x000024DE}, {0x000024C5, 0x000024DF}, {0x000024C6, 0x000024E0}, {0x000024C7, 0x000024E1},
-{0x000024C8, 0x000024E2}, {0x000024C9, 0x000024E3}, {0x000024CA, 0x000024E4}, {0x000024CB, 0x000024E5},
-{0x000024CC, 0x000024E6}, {0x000024CD, 0x000024E7}, {0x000024CE, 0x000024E8}, {0x000024CF, 0x000024E9},
-{0x00002C00, 0x00002C30}, {0x00002C01, 0x00002C31}, {0x00002C02, 0x00002C32}, {0x00002C03, 0x00002C33},
-{0x00002C04, 0x00002C34}, {0x00002C05, 0x00002C35}, {0x00002C06, 0x00002C36}, {0x00002C07, 0x00002C37},
-{0x00002C08, 0x00002C38}, {0x00002C09, 0x00002C39}, {0x00002C0A, 0x00002C3A}, {0x00002C0B, 0x00002C3B},
-{0x00002C0C, 0x00002C3C}, {0x00002C0D, 0x00002C3D}, {0x00002C0E, 0x00002C3E}, {0x00002C0F, 0x00002C3F},
-{0x00002C10, 0x00002C40}, {0x00002C11, 0x00002C41}, {0x00002C12, 0x00002C42}, {0x00002C13, 0x00002C43},
-{0x00002C14, 0x00002C44}, {0x00002C15, 0x00002C45}, {0x00002C16, 0x00002C46}, {0x00002C17, 0x00002C47},
-{0x00002C18, 0x00002C48}, {0x00002C19, 0x00002C49}, {0x00002C1A, 0x00002C4A}, {0x00002C1B, 0x00002C4B},
-{0x00002C1C, 0x00002C4C}, {0x00002C1D, 0x00002C4D}, {0x00002C1E, 0x00002C4E}, {0x00002C1F, 0x00002C4F},
-{0x00002C20, 0x00002C50}, {0x00002C21, 0x00002C51}, {0x00002C22, 0x00002C52}, {0x00002C23, 0x00002C53},
-{0x00002C24, 0x00002C54}, {0x00002C25, 0x00002C55}, {0x00002C26, 0x00002C56}, {0x00002C27, 0x00002C57},
-{0x00002C28, 0x00002C58}, {0x00002C29, 0x00002C59}, {0x00002C2A, 0x00002C5A}, {0x00002C2B, 0x00002C5B},
-{0x00002C2C, 0x00002C5C}, {0x00002C2D, 0x00002C5D}, {0x00002C2E, 0x00002C5E}, {0x00002C60, 0x00002C61},
-{0x00002C62, 0x0000026B}, {0x00002C63, 0x00001D7D}, {0x00002C64, 0x0000027D}, {0x00002C67, 0x00002C68},
-{0x00002C69, 0x00002C6A}, {0x00002C6B, 0x00002C6C}, {0x00002C6D, 0x00000251}, {0x00002C6E, 0x00000271},
-{0x00002C6F, 0x00000250}, {0x00002C70, 0x00000252}, {0x00002C72, 0x00002C73}, {0x00002C75, 0x00002C76},
-{0x00002C7E, 0x0000023F}, {0x00002C7F, 0x00000240}, {0x00002C80, 0x00002C81}, {0x00002C82, 0x00002C83},
-{0x00002C84, 0x00002C85}, {0x00002C86, 0x00002C87}, {0x00002C88, 0x00002C89}, {0x00002C8A, 0x00002C8B},
-{0x00002C8C, 0x00002C8D}, {0x00002C8E, 0x00002C8F}, {0x00002C90, 0x00002C91}, {0x00002C92, 0x00002C93},
-{0x00002C94, 0x00002C95}, {0x00002C96, 0x00002C97}, {0x00002C98, 0x00002C99}, {0x00002C9A, 0x00002C9B},
-{0x00002C9C, 0x00002C9D}, {0x00002C9E, 0x00002C9F}, {0x00002CA0, 0x00002CA1}, {0x00002CA2, 0x00002CA3},
-{0x00002CA4, 0x00002CA5}, {0x00002CA6, 0x00002CA7}, {0x00002CA8, 0x00002CA9}, {0x00002CAA, 0x00002CAB},
-{0x00002CAC, 0x00002CAD}, {0x00002CAE, 0x00002CAF}, {0x00002CB0, 0x00002CB1}, {0x00002CB2, 0x00002CB3},
-{0x00002CB4, 0x00002CB5}, {0x00002CB6, 0x00002CB7}, {0x00002CB8, 0x00002CB9}, {0x00002CBA, 0x00002CBB},
-{0x00002CBC, 0x00002CBD}, {0x00002CBE, 0x00002CBF}, {0x00002CC0, 0x00002CC1}, {0x00002CC2, 0x00002CC3},
-{0x00002CC4, 0x00002CC5}, {0x00002CC6, 0x00002CC7}, {0x00002CC8, 0x00002CC9}, {0x00002CCA, 0x00002CCB},
-{0x00002CCC, 0x00002CCD}, {0x00002CCE, 0x00002CCF}, {0x00002CD0, 0x00002CD1}, {0x00002CD2, 0x00002CD3},
-{0x00002CD4, 0x00002CD5}, {0x00002CD6, 0x00002CD7}, {0x00002CD8, 0x00002CD9}, {0x00002CDA, 0x00002CDB},
-{0x00002CDC, 0x00002CDD}, {0x00002CDE, 0x00002CDF}, {0x00002CE0, 0x00002CE1}, {0x00002CE2, 0x00002CE3},
-{0x00002CEB, 0x00002CEC}, {0x00002CED, 0x00002CEE}, {0x00002CF2, 0x00002CF3}, {0x0000A640, 0x0000A641},
-{0x0000A642, 0x0000A643}, {0x0000A644, 0x0000A645}, {0x0000A646, 0x0000A647}, {0x0000A648, 0x0000A649},
-{0x0000A64A, 0x0000A64B}, {0x0000A64C, 0x0000A64D}, {0x0000A64E, 0x0000A64F}, {0x0000A650, 0x0000A651},
-{0x0000A652, 0x0000A653}, {0x0000A654, 0x0000A655}, {0x0000A656, 0x0000A657}, {0x0000A658, 0x0000A659},
-{0x0000A65A, 0x0000A65B}, {0x0000A65C, 0x0000A65D}, {0x0000A65E, 0x0000A65F}, {0x0000A660, 0x0000A661},
-{0x0000A662, 0x0000A663}, {0x0000A664, 0x0000A665}, {0x0000A666, 0x0000A667}, {0x0000A668, 0x0000A669},
-{0x0000A66A, 0x0000A66B}, {0x0000A66C, 0x0000A66D}, {0x0000A680, 0x0000A681}, {0x0000A682, 0x0000A683},
-{0x0000A684, 0x0000A685}, {0x0000A686, 0x0000A687}, {0x0000A688, 0x0000A689}, {0x0000A68A, 0x0000A68B},
-{0x0000A68C, 0x0000A68D}, {0x0000A68E, 0x0000A68F}, {0x0000A690, 0x0000A691}, {0x0000A692, 0x0000A693},
-{0x0000A694, 0x0000A695}, {0x0000A696, 0x0000A697}, {0x0000A698, 0x0000A699}, {0x0000A69A, 0x0000A69B},
-{0x0000A722, 0x0000A723}, {0x0000A724, 0x0000A725}, {0x0000A726, 0x0000A727}, {0x0000A728, 0x0000A729},
-{0x0000A72A, 0x0000A72B}, {0x0000A72C, 0x0000A72D}, {0x0000A72E, 0x0000A72F}, {0x0000A732, 0x0000A733},
-{0x0000A734, 0x0000A735}, {0x0000A736, 0x0000A737}, {0x0000A738, 0x0000A739}, {0x0000A73A, 0x0000A73B},
-{0x0000A73C, 0x0000A73D}, {0x0000A73E, 0x0000A73F}, {0x0000A740, 0x0000A741}, {0x0000A742, 0x0000A743},
-{0x0000A744, 0x0000A745}, {0x0000A746, 0x0000A747}, {0x0000A748, 0x0000A749}, {0x0000A74A, 0x0000A74B},
-{0x0000A74C, 0x0000A74D}, {0x0000A74E, 0x0000A74F}, {0x0000A750, 0x0000A751}, {0x0000A752, 0x0000A753},
-{0x0000A754, 0x0000A755}, {0x0000A756, 0x0000A757}, {0x0000A758, 0x0000A759}, {0x0000A75A, 0x0000A75B},
-{0x0000A75C, 0x0000A75D}, {0x0000A75E, 0x0000A75F}, {0x0000A760, 0x0000A761}, {0x0000A762, 0x0000A763},
-{0x0000A764, 0x0000A765}, {0x0000A766, 0x0000A767}, {0x0000A768, 0x0000A769}, {0x0000A76A, 0x0000A76B},
-{0x0000A76C, 0x0000A76D}, {0x0000A76E, 0x0000A76F}, {0x0000A779, 0x0000A77A}, {0x0000A77B, 0x0000A77C},
-{0x0000A77D, 0x00001D79}, {0x0000A77E, 0x0000A77F}, {0x0000A780, 0x0000A781}, {0x0000A782, 0x0000A783},
-{0x0000A784, 0x0000A785}, {0x0000A786, 0x0000A787}, {0x0000A78B, 0x0000A78C}, {0x0000A78D, 0x00000265},
-{0x0000A790, 0x0000A791}, {0x0000A792, 0x0000A793}, {0x0000A796, 0x0000A797}, {0x0000A798, 0x0000A799},
-{0x0000A79A, 0x0000A79B}, {0x0000A79C, 0x0000A79D}, {0x0000A79E, 0x0000A79F}, {0x0000A7A0, 0x0000A7A1},
-{0x0000A7A2, 0x0000A7A3}, {0x0000A7A4, 0x0000A7A5}, {0x0000A7A6, 0x0000A7A7}, {0x0000A7A8, 0x0000A7A9},
-{0x0000A7AA, 0x00000266}, {0x0000A7AB, 0x0000025C}, {0x0000A7AC, 0x00000261}, {0x0000A7AD, 0x0000026C},
-{0x0000A7AE, 0x0000026A}, {0x0000A7B0, 0x0000029E}, {0x0000A7B1, 0x00000287}, {0x0000A7B2, 0x0000029D},
-{0x0000A7B3, 0x0000AB53}, {0x0000A7B4, 0x0000A7B5}, {0x0000A7B6, 0x0000A7B7}, {0x0000A7B8, 0x0000A7B9},
-{0x0000A7BA, 0x0000A7BB}, {0x0000A7BC, 0x0000A7BD}, {0x0000A7BE, 0x0000A7BF}, {0x0000A7C2, 0x0000A7C3},
-{0x0000A7C4, 0x0000A794}, {0x0000A7C5, 0x00000282}, {0x0000A7C6, 0x00001D8E}, {0x0000A7C7, 0x0000A7C8},
-{0x0000A7C9, 0x0000A7CA}, {0x0000A7F5, 0x0000A7F6}, {0x0000FF21, 0x0000FF41}, {0x0000FF22, 0x0000FF42},
-{0x0000FF23, 0x0000FF43}, {0x0000FF24, 0x0000FF44}, {0x0000FF25, 0x0000FF45}, {0x0000FF26, 0x0000FF46},
-{0x0000FF27, 0x0000FF47}, {0x0000FF28, 0x0000FF48}, {0x0000FF29, 0x0000FF49}, {0x0000FF2A, 0x0000FF4A},
-{0x0000FF2B, 0x0000FF4B}, {0x0000FF2C, 0x0000FF4C}, {0x0000FF2D, 0x0000FF4D}, {0x0000FF2E, 0x0000FF4E},
-{0x0000FF2F, 0x0000FF4F}, {0x0000FF30, 0x0000FF50}, {0x0000FF31, 0x0000FF51}, {0x0000FF32, 0x0000FF52},
-{0x0000FF33, 0x0000FF53}, {0x0000FF34, 0x0000FF54}, {0x0000FF35, 0x0000FF55}, {0x0000FF36, 0x0000FF56},
-{0x0000FF37, 0x0000FF57}, {0x0000FF38, 0x0000FF58}, {0x0000FF39, 0x0000FF59}, {0x0000FF3A, 0x0000FF5A},
-{0x00010400, 0x00010428}, {0x00010401, 0x00010429}, {0x00010402, 0x0001042A}, {0x00010403, 0x0001042B},
-{0x00010404, 0x0001042C}, {0x00010405, 0x0001042D}, {0x00010406, 0x0001042E}, {0x00010407, 0x0001042F},
-{0x00010408, 0x00010430}, {0x00010409, 0x00010431}, {0x0001040A, 0x00010432}, {0x0001040B, 0x00010433},
-{0x0001040C, 0x00010434}, {0x0001040D, 0x00010435}, {0x0001040E, 0x00010436}, {0x0001040F, 0x00010437},
-{0x00010410, 0x00010438}, {0x00010411, 0x00010439}, {0x00010412, 0x0001043A}, {0x00010413, 0x0001043B},
-{0x00010414, 0x0001043C}, {0x00010415, 0x0001043D}, {0x00010416, 0x0001043E}, {0x00010417, 0x0001043F},
-{0x00010418, 0x00010440}, {0x00010419, 0x00010441}, {0x0001041A, 0x00010442}, {0x0001041B, 0x00010443},
-{0x0001041C, 0x00010444}, {0x0001041D, 0x00010445}, {0x0001041E, 0x00010446}, {0x0001041F, 0x00010447},
-{0x00010420, 0x00010448}, {0x00010421, 0x00010449}, {0x00010422, 0x0001044A}, {0x00010423, 0x0001044B},
-{0x00010424, 0x0001044C}, {0x00010425, 0x0001044D}, {0x00010426, 0x0001044E}, {0x00010427, 0x0001044F},
-{0x000104B0, 0x000104D8}, {0x000104B1, 0x000104D9}, {0x000104B2, 0x000104DA}, {0x000104B3, 0x000104DB},
-{0x000104B4, 0x000104DC}, {0x000104B5, 0x000104DD}, {0x000104B6, 0x000104DE}, {0x000104B7, 0x000104DF},
-{0x000104B8, 0x000104E0}, {0x000104B9, 0x000104E1}, {0x000104BA, 0x000104E2}, {0x000104BB, 0x000104E3},
-{0x000104BC, 0x000104E4}, {0x000104BD, 0x000104E5}, {0x000104BE, 0x000104E6}, {0x000104BF, 0x000104E7},
-{0x000104C0, 0x000104E8}, {0x000104C1, 0x000104E9}, {0x000104C2, 0x000104EA}, {0x000104C3, 0x000104EB},
-{0x000104C4, 0x000104EC}, {0x000104C5, 0x000104ED}, {0x000104C6, 0x000104EE}, {0x000104C7, 0x000104EF},
-{0x000104C8, 0x000104F0}, {0x000104C9, 0x000104F1}, {0x000104CA, 0x000104F2}, {0x000104CB, 0x000104F3},
-{0x000104CC, 0x000104F4}, {0x000104CD, 0x000104F5}, {0x000104CE, 0x000104F6}, {0x000104CF, 0x000104F7},
-{0x000104D0, 0x000104F8}, {0x000104D1, 0x000104F9}, {0x000104D2, 0x000104FA}, {0x000104D3, 0x000104FB},
-{0x00010C80, 0x00010CC0}, {0x00010C81, 0x00010CC1}, {0x00010C82, 0x00010CC2}, {0x00010C83, 0x00010CC3},
-{0x00010C84, 0x00010CC4}, {0x00010C85, 0x00010CC5}, {0x00010C86, 0x00010CC6}, {0x00010C87, 0x00010CC7},
-{0x00010C88, 0x00010CC8}, {0x00010C89, 0x00010CC9}, {0x00010C8A, 0x00010CCA}, {0x00010C8B, 0x00010CCB},
-{0x00010C8C, 0x00010CCC}, {0x00010C8D, 0x00010CCD}, {0x00010C8E, 0x00010CCE}, {0x00010C8F, 0x00010CCF},
-{0x00010C90, 0x00010CD0}, {0x00010C91, 0x00010CD1}, {0x00010C92, 0x00010CD2}, {0x00010C93, 0x00010CD3},
-{0x00010C94, 0x00010CD4}, {0x00010C95, 0x00010CD5}, {0x00010C96, 0x00010CD6}, {0x00010C97, 0x00010CD7},
-{0x00010C98, 0x00010CD8}, {0x00010C99, 0x00010CD9}, {0x00010C9A, 0x00010CDA}, {0x00010C9B, 0x00010CDB},
-{0x00010C9C, 0x00010CDC}, {0x00010C9D, 0x00010CDD}, {0x00010C9E, 0x00010CDE}, {0x00010C9F, 0x00010CDF},
-{0x00010CA0, 0x00010CE0}, {0x00010CA1, 0x00010CE1}, {0x00010CA2, 0x00010CE2}, {0x00010CA3, 0x00010CE3},
-{0x00010CA4, 0x00010CE4}, {0x00010CA5, 0x00010CE5}, {0x00010CA6, 0x00010CE6}, {0x00010CA7, 0x00010CE7},
-{0x00010CA8, 0x00010CE8}, {0x00010CA9, 0x00010CE9}, {0x00010CAA, 0x00010CEA}, {0x00010CAB, 0x00010CEB},
-{0x00010CAC, 0x00010CEC}, {0x00010CAD, 0x00010CED}, {0x00010CAE, 0x00010CEE}, {0x00010CAF, 0x00010CEF},
-{0x00010CB0, 0x00010CF0}, {0x00010CB1, 0x00010CF1}, {0x00010CB2, 0x00010CF2}, {0x000118A0, 0x000118C0},
-{0x000118A1, 0x000118C1}, {0x000118A2, 0x000118C2}, {0x000118A3, 0x000118C3}, {0x000118A4, 0x000118C4},
-{0x000118A5, 0x000118C5}, {0x000118A6, 0x000118C6}, {0x000118A7, 0x000118C7}, {0x000118A8, 0x000118C8},
-{0x000118A9, 0x000118C9}, {0x000118AA, 0x000118CA}, {0x000118AB, 0x000118CB}, {0x000118AC, 0x000118CC},
-{0x000118AD, 0x000118CD}, {0x000118AE, 0x000118CE}, {0x000118AF, 0x000118CF}, {0x000118B0, 0x000118D0},
-{0x000118B1, 0x000118D1}, {0x000118B2, 0x000118D2}, {0x000118B3, 0x000118D3}, {0x000118B4, 0x000118D4},
-{0x000118B5, 0x000118D5}, {0x000118B6, 0x000118D6}, {0x000118B7, 0x000118D7}, {0x000118B8, 0x000118D8},
-{0x000118B9, 0x000118D9}, {0x000118BA, 0x000118DA}, {0x000118BB, 0x000118DB}, {0x000118BC, 0x000118DC},
-{0x000118BD, 0x000118DD}, {0x000118BE, 0x000118DE}, {0x000118BF, 0x000118DF}, {0x00016E40, 0x00016E60},
-{0x00016E41, 0x00016E61}, {0x00016E42, 0x00016E62}, {0x00016E43, 0x00016E63}, {0x00016E44, 0x00016E64},
-{0x00016E45, 0x00016E65}, {0x00016E46, 0x00016E66}, {0x00016E47, 0x00016E67}, {0x00016E48, 0x00016E68},
-{0x00016E49, 0x00016E69}, {0x00016E4A, 0x00016E6A}, {0x00016E4B, 0x00016E6B}, {0x00016E4C, 0x00016E6C},
-{0x00016E4D, 0x00016E6D}, {0x00016E4E, 0x00016E6E}, {0x00016E4F, 0x00016E6F}, {0x00016E50, 0x00016E70},
-{0x00016E51, 0x00016E71}, {0x00016E52, 0x00016E72}, {0x00016E53, 0x00016E73}, {0x00016E54, 0x00016E74},
-{0x00016E55, 0x00016E75}, {0x00016E56, 0x00016E76}, {0x00016E57, 0x00016E77}, {0x00016E58, 0x00016E78},
-{0x00016E59, 0x00016E79}, {0x00016E5A, 0x00016E7A}, {0x00016E5B, 0x00016E7B}, {0x00016E5C, 0x00016E7C},
-{0x00016E5D, 0x00016E7D}, {0x00016E5E, 0x00016E7E}, {0x00016E5F, 0x00016E7F}, {0x0001E900, 0x0001E922},
-{0x0001E901, 0x0001E923}, {0x0001E902, 0x0001E924}, {0x0001E903, 0x0001E925}, {0x0001E904, 0x0001E926},
-{0x0001E905, 0x0001E927}, {0x0001E906, 0x0001E928}, {0x0001E907, 0x0001E929}, {0x0001E908, 0x0001E92A},
-{0x0001E909, 0x0001E92B}, {0x0001E90A, 0x0001E92C}, {0x0001E90B, 0x0001E92D}, {0x0001E90C, 0x0001E92E},
-{0x0001E90D, 0x0001E92F}, {0x0001E90E, 0x0001E930}, {0x0001E90F, 0x0001E931}, {0x0001E910, 0x0001E932},
-{0x0001E911, 0x0001E933}, {0x0001E912, 0x0001E934}, {0x0001E913, 0x0001E935}, {0x0001E914, 0x0001E936},
-{0x0001E915, 0x0001E937}, {0x0001E916, 0x0001E938}, {0x0001E917, 0x0001E939}, {0x0001E918, 0x0001E93A},
-{0x0001E919, 0x0001E93B}, {0x0001E91A, 0x0001E93C}, {0x0001E91B, 0x0001E93D}, {0x0001E91C, 0x0001E93E},
-{0x0001E91D, 0x0001E93F}, {0x0001E91E, 0x0001E940}, {0x0001E91F, 0x0001E941}, {0x0001E920, 0x0001E942},
-{0x0001E921, 0x0001E943},
-};
-
-const std::map<char32_t, char32_t> unicode_map_uppercase = {
-{0x00000061, 0x00000041}, {0x00000062, 0x00000042}, {0x00000063, 0x00000043}, {0x00000064, 0x00000044},
-{0x00000065, 0x00000045}, {0x00000066, 0x00000046}, {0x00000067, 0x00000047}, {0x00000068, 0x00000048},
-{0x00000069, 0x00000049}, {0x0000006A, 0x0000004A}, {0x0000006B, 0x0000004B}, {0x0000006C, 0x0000004C},
-{0x0000006D, 0x0000004D}, {0x0000006E, 0x0000004E}, {0x0000006F, 0x0000004F}, {0x00000070, 0x00000050},
-{0x00000071, 0x00000051}, {0x00000072, 0x00000052}, {0x00000073, 0x00000053}, {0x00000074, 0x00000054},
-{0x00000075, 0x00000055}, {0x00000076, 0x00000056}, {0x00000077, 0x00000057}, {0x00000078, 0x00000058},
-{0x00000079, 0x00000059}, {0x0000007A, 0x0000005A}, {0x000000B5, 0x0000039C}, {0x000000DF, 0x00000053},
-{0x000000E0, 0x000000C0}, {0x000000E1, 0x000000C1}, {0x000000E2, 0x000000C2}, {0x000000E3, 0x000000C3},
-{0x000000E4, 0x000000C4}, {0x000000E5, 0x000000C5}, {0x000000E6, 0x000000C6}, {0x000000E7, 0x000000C7},
-{0x000000E8, 0x000000C8}, {0x000000E9, 0x000000C9}, {0x000000EA, 0x000000CA}, {0x000000EB, 0x000000CB},
-{0x000000EC, 0x000000CC}, {0x000000ED, 0x000000CD}, {0x000000EE, 0x000000CE}, {0x000000EF, 0x000000CF},
-{0x000000F0, 0x000000D0}, {0x000000F1, 0x000000D1}, {0x000000F2, 0x000000D2}, {0x000000F3, 0x000000D3},
-{0x000000F4, 0x000000D4}, {0x000000F5, 0x000000D5}, {0x000000F6, 0x000000D6}, {0x000000F8, 0x000000D8},
-{0x000000F9, 0x000000D9}, {0x000000FA, 0x000000DA}, {0x000000FB, 0x000000DB}, {0x000000FC, 0x000000DC},
-{0x000000FD, 0x000000DD}, {0x000000FE, 0x000000DE}, {0x000000FF, 0x00000178}, {0x00000101, 0x00000100},
-{0x00000103, 0x00000102}, {0x00000105, 0x00000104}, {0x00000107, 0x00000106}, {0x00000109, 0x00000108},
-{0x0000010B, 0x0000010A}, {0x0000010D, 0x0000010C}, {0x0000010F, 0x0000010E}, {0x00000111, 0x00000110},
-{0x00000113, 0x00000112}, {0x00000115, 0x00000114}, {0x00000117, 0x00000116}, {0x00000119, 0x00000118},
-{0x0000011B, 0x0000011A}, {0x0000011D, 0x0000011C}, {0x0000011F, 0x0000011E}, {0x00000121, 0x00000120},
-{0x00000123, 0x00000122}, {0x00000125, 0x00000124}, {0x00000127, 0x00000126}, {0x00000129, 0x00000128},
-{0x0000012B, 0x0000012A}, {0x0000012D, 0x0000012C}, {0x0000012F, 0x0000012E}, {0x00000131, 0x00000049},
-{0x00000133, 0x00000132}, {0x00000135, 0x00000134}, {0x00000137, 0x00000136}, {0x0000013A, 0x00000139},
-{0x0000013C, 0x0000013B}, {0x0000013E, 0x0000013D}, {0x00000140, 0x0000013F}, {0x00000142, 0x00000141},
-{0x00000144, 0x00000143}, {0x00000146, 0x00000145}, {0x00000148, 0x00000147}, {0x00000149, 0x000002BC},
-{0x0000014B, 0x0000014A}, {0x0000014D, 0x0000014C}, {0x0000014F, 0x0000014E}, {0x00000151, 0x00000150},
-{0x00000153, 0x00000152}, {0x00000155, 0x00000154}, {0x00000157, 0x00000156}, {0x00000159, 0x00000158},
-{0x0000015B, 0x0000015A}, {0x0000015D, 0x0000015C}, {0x0000015F, 0x0000015E}, {0x00000161, 0x00000160},
-{0x00000163, 0x00000162}, {0x00000165, 0x00000164}, {0x00000167, 0x00000166}, {0x00000169, 0x00000168},
-{0x0000016B, 0x0000016A}, {0x0000016D, 0x0000016C}, {0x0000016F, 0x0000016E}, {0x00000171, 0x00000170},
-{0x00000173, 0x00000172}, {0x00000175, 0x00000174}, {0x00000177, 0x00000176}, {0x0000017A, 0x00000179},
-{0x0000017C, 0x0000017B}, {0x0000017E, 0x0000017D}, {0x0000017F, 0x00000053}, {0x00000180, 0x00000243},
-{0x00000183, 0x00000182}, {0x00000185, 0x00000184}, {0x00000188, 0x00000187}, {0x0000018C, 0x0000018B},
-{0x00000192, 0x00000191}, {0x00000195, 0x000001F6}, {0x00000199, 0x00000198}, {0x0000019A, 0x0000023D},
-{0x0000019E, 0x00000220}, {0x000001A1, 0x000001A0}, {0x000001A3, 0x000001A2}, {0x000001A5, 0x000001A4},
-{0x000001A8, 0x000001A7}, {0x000001AD, 0x000001AC}, {0x000001B0, 0x000001AF}, {0x000001B4, 0x000001B3},
-{0x000001B6, 0x000001B5}, {0x000001B9, 0x000001B8}, {0x000001BD, 0x000001BC}, {0x000001BF, 0x000001F7},
-{0x000001C5, 0x000001C4}, {0x000001C6, 0x000001C4}, {0x000001C8, 0x000001C7}, {0x000001C9, 0x000001C7},
-{0x000001CB, 0x000001CA}, {0x000001CC, 0x000001CA}, {0x000001CE, 0x000001CD}, {0x000001D0, 0x000001CF},
-{0x000001D2, 0x000001D1}, {0x000001D4, 0x000001D3}, {0x000001D6, 0x000001D5}, {0x000001D8, 0x000001D7},
-{0x000001DA, 0x000001D9}, {0x000001DC, 0x000001DB}, {0x000001DD, 0x0000018E}, {0x000001DF, 0x000001DE},
-{0x000001E1, 0x000001E0}, {0x000001E3, 0x000001E2}, {0x000001E5, 0x000001E4}, {0x000001E7, 0x000001E6},
-{0x000001E9, 0x000001E8}, {0x000001EB, 0x000001EA}, {0x000001ED, 0x000001EC}, {0x000001EF, 0x000001EE},
-{0x000001F0, 0x0000004A}, {0x000001F2, 0x000001F1}, {0x000001F3, 0x000001F1}, {0x000001F5, 0x000001F4},
-{0x000001F9, 0x000001F8}, {0x000001FB, 0x000001FA}, {0x000001FD, 0x000001FC}, {0x000001FF, 0x000001FE},
-{0x00000201, 0x00000200}, {0x00000203, 0x00000202}, {0x00000205, 0x00000204}, {0x00000207, 0x00000206},
-{0x00000209, 0x00000208}, {0x0000020B, 0x0000020A}, {0x0000020D, 0x0000020C}, {0x0000020F, 0x0000020E},
-{0x00000211, 0x00000210}, {0x00000213, 0x00000212}, {0x00000215, 0x00000214}, {0x00000217, 0x00000216},
-{0x00000219, 0x00000218}, {0x0000021B, 0x0000021A}, {0x0000021D, 0x0000021C}, {0x0000021F, 0x0000021E},
-{0x00000223, 0x00000222}, {0x00000225, 0x00000224}, {0x00000227, 0x00000226}, {0x00000229, 0x00000228},
-{0x0000022B, 0x0000022A}, {0x0000022D, 0x0000022C}, {0x0000022F, 0x0000022E}, {0x00000231, 0x00000230},
-{0x00000233, 0x00000232}, {0x0000023C, 0x0000023B}, {0x0000023F, 0x00002C7E}, {0x00000240, 0x00002C7F},
-{0x00000242, 0x00000241}, {0x00000247, 0x00000246}, {0x00000249, 0x00000248}, {0x0000024B, 0x0000024A},
-{0x0000024D, 0x0000024C}, {0x0000024F, 0x0000024E}, {0x00000250, 0x00002C6F}, {0x00000251, 0x00002C6D},
-{0x00000252, 0x00002C70}, {0x00000253, 0x00000181}, {0x00000254, 0x00000186}, {0x00000256, 0x00000189},
-{0x00000257, 0x0000018A}, {0x00000259, 0x0000018F}, {0x0000025B, 0x00000190}, {0x0000025C, 0x0000A7AB},
-{0x00000260, 0x00000193}, {0x00000261, 0x0000A7AC}, {0x00000263, 0x00000194}, {0x00000265, 0x0000A78D},
-{0x00000266, 0x0000A7AA}, {0x00000268, 0x00000197}, {0x00000269, 0x00000196}, {0x0000026A, 0x0000A7AE},
-{0x0000026B, 0x00002C62}, {0x0000026C, 0x0000A7AD}, {0x0000026F, 0x0000019C}, {0x00000271, 0x00002C6E},
-{0x00000272, 0x0000019D}, {0x00000275, 0x0000019F}, {0x0000027D, 0x00002C64}, {0x00000280, 0x000001A6},
-{0x00000282, 0x0000A7C5}, {0x00000283, 0x000001A9}, {0x00000287, 0x0000A7B1}, {0x00000288, 0x000001AE},
-{0x00000289, 0x00000244}, {0x0000028A, 0x000001B1}, {0x0000028B, 0x000001B2}, {0x0000028C, 0x00000245},
-{0x00000292, 0x000001B7}, {0x0000029D, 0x0000A7B2}, {0x0000029E, 0x0000A7B0}, {0x00000345, 0x00000399},
-{0x00000371, 0x00000370}, {0x00000373, 0x00000372}, {0x00000377, 0x00000376}, {0x0000037B, 0x000003FD},
-{0x0000037C, 0x000003FE}, {0x0000037D, 0x000003FF}, {0x00000390, 0x00000399}, {0x000003AC, 0x00000386},
-{0x000003AD, 0x00000388}, {0x000003AE, 0x00000389}, {0x000003AF, 0x0000038A}, {0x000003B0, 0x000003A5},
-{0x000003B1, 0x00000391}, {0x000003B2, 0x00000392}, {0x000003B3, 0x00000393}, {0x000003B4, 0x00000394},
-{0x000003B5, 0x00000395}, {0x000003B6, 0x00000396}, {0x000003B7, 0x00000397}, {0x000003B8, 0x00000398},
-{0x000003B9, 0x00000399}, {0x000003BA, 0x0000039A}, {0x000003BB, 0x0000039B}, {0x000003BC, 0x0000039C},
-{0x000003BD, 0x0000039D}, {0x000003BE, 0x0000039E}, {0x000003BF, 0x0000039F}, {0x000003C0, 0x000003A0},
-{0x000003C1, 0x000003A1}, {0x000003C2, 0x000003A3}, {0x000003C3, 0x000003A3}, {0x000003C4, 0x000003A4},
-{0x000003C5, 0x000003A5}, {0x000003C6, 0x000003A6}, {0x000003C7, 0x000003A7}, {0x000003C8, 0x000003A8},
-{0x000003C9, 0x000003A9}, {0x000003CA, 0x000003AA}, {0x000003CB, 0x000003AB}, {0x000003CC, 0x0000038C},
-{0x000003CD, 0x0000038E}, {0x000003CE, 0x0000038F}, {0x000003D0, 0x00000392}, {0x000003D1, 0x00000398},
-{0x000003D5, 0x000003A6}, {0x000003D6, 0x000003A0}, {0x000003D7, 0x000003CF}, {0x000003D9, 0x000003D8},
-{0x000003DB, 0x000003DA}, {0x000003DD, 0x000003DC}, {0x000003DF, 0x000003DE}, {0x000003E1, 0x000003E0},
-{0x000003E3, 0x000003E2}, {0x000003E5, 0x000003E4}, {0x000003E7, 0x000003E6}, {0x000003E9, 0x000003E8},
-{0x000003EB, 0x000003EA}, {0x000003ED, 0x000003EC}, {0x000003EF, 0x000003EE}, {0x000003F0, 0x0000039A},
-{0x000003F1, 0x000003A1}, {0x000003F2, 0x000003F9}, {0x000003F3, 0x0000037F}, {0x000003F5, 0x00000395},
-{0x000003F8, 0x000003F7}, {0x000003FB, 0x000003FA}, {0x00000430, 0x00000410}, {0x00000431, 0x00000411},
-{0x00000432, 0x00000412}, {0x00000433, 0x00000413}, {0x00000434, 0x00000414}, {0x00000435, 0x00000415},
-{0x00000436, 0x00000416}, {0x00000437, 0x00000417}, {0x00000438, 0x00000418}, {0x00000439, 0x00000419},
-{0x0000043A, 0x0000041A}, {0x0000043B, 0x0000041B}, {0x0000043C, 0x0000041C}, {0x0000043D, 0x0000041D},
-{0x0000043E, 0x0000041E}, {0x0000043F, 0x0000041F}, {0x00000440, 0x00000420}, {0x00000441, 0x00000421},
-{0x00000442, 0x00000422}, {0x00000443, 0x00000423}, {0x00000444, 0x00000424}, {0x00000445, 0x00000425},
-{0x00000446, 0x00000426}, {0x00000447, 0x00000427}, {0x00000448, 0x00000428}, {0x00000449, 0x00000429},
-{0x0000044A, 0x0000042A}, {0x0000044B, 0x0000042B}, {0x0000044C, 0x0000042C}, {0x0000044D, 0x0000042D},
-{0x0000044E, 0x0000042E}, {0x0000044F, 0x0000042F}, {0x00000450, 0x00000400}, {0x00000451, 0x00000401},
-{0x00000452, 0x00000402}, {0x00000453, 0x00000403}, {0x00000454, 0x00000404}, {0x00000455, 0x00000405},
-{0x00000456, 0x00000406}, {0x00000457, 0x00000407}, {0x00000458, 0x00000408}, {0x00000459, 0x00000409},
-{0x0000045A, 0x0000040A}, {0x0000045B, 0x0000040B}, {0x0000045C, 0x0000040C}, {0x0000045D, 0x0000040D},
-{0x0000045E, 0x0000040E}, {0x0000045F, 0x0000040F}, {0x00000461, 0x00000460}, {0x00000463, 0x00000462},
-{0x00000465, 0x00000464}, {0x00000467, 0x00000466}, {0x00000469, 0x00000468}, {0x0000046B, 0x0000046A},
-{0x0000046D, 0x0000046C}, {0x0000046F, 0x0000046E}, {0x00000471, 0x00000470}, {0x00000473, 0x00000472},
-{0x00000475, 0x00000474}, {0x00000477, 0x00000476}, {0x00000479, 0x00000478}, {0x0000047B, 0x0000047A},
-{0x0000047D, 0x0000047C}, {0x0000047F, 0x0000047E}, {0x00000481, 0x00000480}, {0x0000048B, 0x0000048A},
-{0x0000048D, 0x0000048C}, {0x0000048F, 0x0000048E}, {0x00000491, 0x00000490}, {0x00000493, 0x00000492},
-{0x00000495, 0x00000494}, {0x00000497, 0x00000496}, {0x00000499, 0x00000498}, {0x0000049B, 0x0000049A},
-{0x0000049D, 0x0000049C}, {0x0000049F, 0x0000049E}, {0x000004A1, 0x000004A0}, {0x000004A3, 0x000004A2},
-{0x000004A5, 0x000004A4}, {0x000004A7, 0x000004A6}, {0x000004A9, 0x000004A8}, {0x000004AB, 0x000004AA},
-{0x000004AD, 0x000004AC}, {0x000004AF, 0x000004AE}, {0x000004B1, 0x000004B0}, {0x000004B3, 0x000004B2},
-{0x000004B5, 0x000004B4}, {0x000004B7, 0x000004B6}, {0x000004B9, 0x000004B8}, {0x000004BB, 0x000004BA},
-{0x000004BD, 0x000004BC}, {0x000004BF, 0x000004BE}, {0x000004C2, 0x000004C1}, {0x000004C4, 0x000004C3},
-{0x000004C6, 0x000004C5}, {0x000004C8, 0x000004C7}, {0x000004CA, 0x000004C9}, {0x000004CC, 0x000004CB},
-{0x000004CE, 0x000004CD}, {0x000004CF, 0x000004C0}, {0x000004D1, 0x000004D0}, {0x000004D3, 0x000004D2},
-{0x000004D5, 0x000004D4}, {0x000004D7, 0x000004D6}, {0x000004D9, 0x000004D8}, {0x000004DB, 0x000004DA},
-{0x000004DD, 0x000004DC}, {0x000004DF, 0x000004DE}, {0x000004E1, 0x000004E0}, {0x000004E3, 0x000004E2},
-{0x000004E5, 0x000004E4}, {0x000004E7, 0x000004E6}, {0x000004E9, 0x000004E8}, {0x000004EB, 0x000004EA},
-{0x000004ED, 0x000004EC}, {0x000004EF, 0x000004EE}, {0x000004F1, 0x000004F0}, {0x000004F3, 0x000004F2},
-{0x000004F5, 0x000004F4}, {0x000004F7, 0x000004F6}, {0x000004F9, 0x000004F8}, {0x000004FB, 0x000004FA},
-{0x000004FD, 0x000004FC}, {0x000004FF, 0x000004FE}, {0x00000501, 0x00000500}, {0x00000503, 0x00000502},
-{0x00000505, 0x00000504}, {0x00000507, 0x00000506}, {0x00000509, 0x00000508}, {0x0000050B, 0x0000050A},
-{0x0000050D, 0x0000050C}, {0x0000050F, 0x0000050E}, {0x00000511, 0x00000510}, {0x00000513, 0x00000512},
-{0x00000515, 0x00000514}, {0x00000517, 0x00000516}, {0x00000519, 0x00000518}, {0x0000051B, 0x0000051A},
-{0x0000051D, 0x0000051C}, {0x0000051F, 0x0000051E}, {0x00000521, 0x00000520}, {0x00000523, 0x00000522},
-{0x00000525, 0x00000524}, {0x00000527, 0x00000526}, {0x00000529, 0x00000528}, {0x0000052B, 0x0000052A},
-{0x0000052D, 0x0000052C}, {0x0000052F, 0x0000052E}, {0x00000561, 0x00000531}, {0x00000562, 0x00000532},
-{0x00000563, 0x00000533}, {0x00000564, 0x00000534}, {0x00000565, 0x00000535}, {0x00000566, 0x00000536},
-{0x00000567, 0x00000537}, {0x00000568, 0x00000538}, {0x00000569, 0x00000539}, {0x0000056A, 0x0000053A},
-{0x0000056B, 0x0000053B}, {0x0000056C, 0x0000053C}, {0x0000056D, 0x0000053D}, {0x0000056E, 0x0000053E},
-{0x0000056F, 0x0000053F}, {0x00000570, 0x00000540}, {0x00000571, 0x00000541}, {0x00000572, 0x00000542},
-{0x00000573, 0x00000543}, {0x00000574, 0x00000544}, {0x00000575, 0x00000545}, {0x00000576, 0x00000546},
-{0x00000577, 0x00000547}, {0x00000578, 0x00000548}, {0x00000579, 0x00000549}, {0x0000057A, 0x0000054A},
-{0x0000057B, 0x0000054B}, {0x0000057C, 0x0000054C}, {0x0000057D, 0x0000054D}, {0x0000057E, 0x0000054E},
-{0x0000057F, 0x0000054F}, {0x00000580, 0x00000550}, {0x00000581, 0x00000551}, {0x00000582, 0x00000552},
-{0x00000583, 0x00000553}, {0x00000584, 0x00000554}, {0x00000585, 0x00000555}, {0x00000586, 0x00000556},
-{0x00000587, 0x00000535}, {0x000010D0, 0x00001C90}, {0x000010D1, 0x00001C91}, {0x000010D2, 0x00001C92},
-{0x000010D3, 0x00001C93}, {0x000010D4, 0x00001C94}, {0x000010D5, 0x00001C95}, {0x000010D6, 0x00001C96},
-{0x000010D7, 0x00001C97}, {0x000010D8, 0x00001C98}, {0x000010D9, 0x00001C99}, {0x000010DA, 0x00001C9A},
-{0x000010DB, 0x00001C9B}, {0x000010DC, 0x00001C9C}, {0x000010DD, 0x00001C9D}, {0x000010DE, 0x00001C9E},
-{0x000010DF, 0x00001C9F}, {0x000010E0, 0x00001CA0}, {0x000010E1, 0x00001CA1}, {0x000010E2, 0x00001CA2},
-{0x000010E3, 0x00001CA3}, {0x000010E4, 0x00001CA4}, {0x000010E5, 0x00001CA5}, {0x000010E6, 0x00001CA6},
-{0x000010E7, 0x00001CA7}, {0x000010E8, 0x00001CA8}, {0x000010E9, 0x00001CA9}, {0x000010EA, 0x00001CAA},
-{0x000010EB, 0x00001CAB}, {0x000010EC, 0x00001CAC}, {0x000010ED, 0x00001CAD}, {0x000010EE, 0x00001CAE},
-{0x000010EF, 0x00001CAF}, {0x000010F0, 0x00001CB0}, {0x000010F1, 0x00001CB1}, {0x000010F2, 0x00001CB2},
-{0x000010F3, 0x00001CB3}, {0x000010F4, 0x00001CB4}, {0x000010F5, 0x00001CB5}, {0x000010F6, 0x00001CB6},
-{0x000010F7, 0x00001CB7}, {0x000010F8, 0x00001CB8}, {0x000010F9, 0x00001CB9}, {0x000010FA, 0x00001CBA},
-{0x000010FD, 0x00001CBD}, {0x000010FE, 0x00001CBE}, {0x000010FF, 0x00001CBF}, {0x000013F8, 0x000013F0},
-{0x000013F9, 0x000013F1}, {0x000013FA, 0x000013F2}, {0x000013FB, 0x000013F3}, {0x000013FC, 0x000013F4},
-{0x000013FD, 0x000013F5}, {0x00001C80, 0x00000412}, {0x00001C81, 0x00000414}, {0x00001C82, 0x0000041E},
-{0x00001C83, 0x00000421}, {0x00001C84, 0x00000422}, {0x00001C85, 0x00000422}, {0x00001C86, 0x0000042A},
-{0x00001C87, 0x00000462}, {0x00001C88, 0x0000A64A}, {0x00001D79, 0x0000A77D}, {0x00001D7D, 0x00002C63},
-{0x00001D8E, 0x0000A7C6}, {0x00001E01, 0x00001E00}, {0x00001E03, 0x00001E02}, {0x00001E05, 0x00001E04},
-{0x00001E07, 0x00001E06}, {0x00001E09, 0x00001E08}, {0x00001E0B, 0x00001E0A}, {0x00001E0D, 0x00001E0C},
-{0x00001E0F, 0x00001E0E}, {0x00001E11, 0x00001E10}, {0x00001E13, 0x00001E12}, {0x00001E15, 0x00001E14},
-{0x00001E17, 0x00001E16}, {0x00001E19, 0x00001E18}, {0x00001E1B, 0x00001E1A}, {0x00001E1D, 0x00001E1C},
-{0x00001E1F, 0x00001E1E}, {0x00001E21, 0x00001E20}, {0x00001E23, 0x00001E22}, {0x00001E25, 0x00001E24},
-{0x00001E27, 0x00001E26}, {0x00001E29, 0x00001E28}, {0x00001E2B, 0x00001E2A}, {0x00001E2D, 0x00001E2C},
-{0x00001E2F, 0x00001E2E}, {0x00001E31, 0x00001E30}, {0x00001E33, 0x00001E32}, {0x00001E35, 0x00001E34},
-{0x00001E37, 0x00001E36}, {0x00001E39, 0x00001E38}, {0x00001E3B, 0x00001E3A}, {0x00001E3D, 0x00001E3C},
-{0x00001E3F, 0x00001E3E}, {0x00001E41, 0x00001E40}, {0x00001E43, 0x00001E42}, {0x00001E45, 0x00001E44},
-{0x00001E47, 0x00001E46}, {0x00001E49, 0x00001E48}, {0x00001E4B, 0x00001E4A}, {0x00001E4D, 0x00001E4C},
-{0x00001E4F, 0x00001E4E}, {0x00001E51, 0x00001E50}, {0x00001E53, 0x00001E52}, {0x00001E55, 0x00001E54},
-{0x00001E57, 0x00001E56}, {0x00001E59, 0x00001E58}, {0x00001E5B, 0x00001E5A}, {0x00001E5D, 0x00001E5C},
-{0x00001E5F, 0x00001E5E}, {0x00001E61, 0x00001E60}, {0x00001E63, 0x00001E62}, {0x00001E65, 0x00001E64},
-{0x00001E67, 0x00001E66}, {0x00001E69, 0x00001E68}, {0x00001E6B, 0x00001E6A}, {0x00001E6D, 0x00001E6C},
-{0x00001E6F, 0x00001E6E}, {0x00001E71, 0x00001E70}, {0x00001E73, 0x00001E72}, {0x00001E75, 0x00001E74},
-{0x00001E77, 0x00001E76}, {0x00001E79, 0x00001E78}, {0x00001E7B, 0x00001E7A}, {0x00001E7D, 0x00001E7C},
-{0x00001E7F, 0x00001E7E}, {0x00001E81, 0x00001E80}, {0x00001E83, 0x00001E82}, {0x00001E85, 0x00001E84},
-{0x00001E87, 0x00001E86}, {0x00001E89, 0x00001E88}, {0x00001E8B, 0x00001E8A}, {0x00001E8D, 0x00001E8C},
-{0x00001E8F, 0x00001E8E}, {0x00001E91, 0x00001E90}, {0x00001E93, 0x00001E92}, {0x00001E95, 0x00001E94},
-{0x00001E96, 0x00000048}, {0x00001E97, 0x00000054}, {0x00001E98, 0x00000057}, {0x00001E99, 0x00000059},
-{0x00001E9A, 0x00000041}, {0x00001E9B, 0x00001E60}, {0x00001EA1, 0x00001EA0}, {0x00001EA3, 0x00001EA2},
-{0x00001EA5, 0x00001EA4}, {0x00001EA7, 0x00001EA6}, {0x00001EA9, 0x00001EA8}, {0x00001EAB, 0x00001EAA},
-{0x00001EAD, 0x00001EAC}, {0x00001EAF, 0x00001EAE}, {0x00001EB1, 0x00001EB0}, {0x00001EB3, 0x00001EB2},
-{0x00001EB5, 0x00001EB4}, {0x00001EB7, 0x00001EB6}, {0x00001EB9, 0x00001EB8}, {0x00001EBB, 0x00001EBA},
-{0x00001EBD, 0x00001EBC}, {0x00001EBF, 0x00001EBE}, {0x00001EC1, 0x00001EC0}, {0x00001EC3, 0x00001EC2},
-{0x00001EC5, 0x00001EC4}, {0x00001EC7, 0x00001EC6}, {0x00001EC9, 0x00001EC8}, {0x00001ECB, 0x00001ECA},
-{0x00001ECD, 0x00001ECC}, {0x00001ECF, 0x00001ECE}, {0x00001ED1, 0x00001ED0}, {0x00001ED3, 0x00001ED2},
-{0x00001ED5, 0x00001ED4}, {0x00001ED7, 0x00001ED6}, {0x00001ED9, 0x00001ED8}, {0x00001EDB, 0x00001EDA},
-{0x00001EDD, 0x00001EDC}, {0x00001EDF, 0x00001EDE}, {0x00001EE1, 0x00001EE0}, {0x00001EE3, 0x00001EE2},
-{0x00001EE5, 0x00001EE4}, {0x00001EE7, 0x00001EE6}, {0x00001EE9, 0x00001EE8}, {0x00001EEB, 0x00001EEA},
-{0x00001EED, 0x00001EEC}, {0x00001EEF, 0x00001EEE}, {0x00001EF1, 0x00001EF0}, {0x00001EF3, 0x00001EF2},
-{0x00001EF5, 0x00001EF4}, {0x00001EF7, 0x00001EF6}, {0x00001EF9, 0x00001EF8}, {0x00001EFB, 0x00001EFA},
-{0x00001EFD, 0x00001EFC}, {0x00001EFF, 0x00001EFE}, {0x00001F00, 0x00001F08}, {0x00001F01, 0x00001F09},
-{0x00001F02, 0x00001F0A}, {0x00001F03, 0x00001F0B}, {0x00001F04, 0x00001F0C}, {0x00001F05, 0x00001F0D},
-{0x00001F06, 0x00001F0E}, {0x00001F07, 0x00001F0F}, {0x00001F10, 0x00001F18}, {0x00001F11, 0x00001F19},
-{0x00001F12, 0x00001F1A}, {0x00001F13, 0x00001F1B}, {0x00001F14, 0x00001F1C}, {0x00001F15, 0x00001F1D},
-{0x00001F20, 0x00001F28}, {0x00001F21, 0x00001F29}, {0x00001F22, 0x00001F2A}, {0x00001F23, 0x00001F2B},
-{0x00001F24, 0x00001F2C}, {0x00001F25, 0x00001F2D}, {0x00001F26, 0x00001F2E}, {0x00001F27, 0x00001F2F},
-{0x00001F30, 0x00001F38}, {0x00001F31, 0x00001F39}, {0x00001F32, 0x00001F3A}, {0x00001F33, 0x00001F3B},
-{0x00001F34, 0x00001F3C}, {0x00001F35, 0x00001F3D}, {0x00001F36, 0x00001F3E}, {0x00001F37, 0x00001F3F},
-{0x00001F40, 0x00001F48}, {0x00001F41, 0x00001F49}, {0x00001F42, 0x00001F4A}, {0x00001F43, 0x00001F4B},
-{0x00001F44, 0x00001F4C}, {0x00001F45, 0x00001F4D}, {0x00001F50, 0x000003A5}, {0x00001F51, 0x00001F59},
-{0x00001F52, 0x000003A5}, {0x00001F53, 0x00001F5B}, {0x00001F54, 0x000003A5}, {0x00001F55, 0x00001F5D},
-{0x00001F56, 0x000003A5}, {0x00001F57, 0x00001F5F}, {0x00001F60, 0x00001F68}, {0x00001F61, 0x00001F69},
-{0x00001F62, 0x00001F6A}, {0x00001F63, 0x00001F6B}, {0x00001F64, 0x00001F6C}, {0x00001F65, 0x00001F6D},
-{0x00001F66, 0x00001F6E}, {0x00001F67, 0x00001F6F}, {0x00001F70, 0x00001FBA}, {0x00001F71, 0x00001FBB},
-{0x00001F72, 0x00001FC8}, {0x00001F73, 0x00001FC9}, {0x00001F74, 0x00001FCA}, {0x00001F75, 0x00001FCB},
-{0x00001F76, 0x00001FDA}, {0x00001F77, 0x00001FDB}, {0x00001F78, 0x00001FF8}, {0x00001F79, 0x00001FF9},
-{0x00001F7A, 0x00001FEA}, {0x00001F7B, 0x00001FEB}, {0x00001F7C, 0x00001FFA}, {0x00001F7D, 0x00001FFB},
-{0x00001F80, 0x00001F08}, {0x00001F81, 0x00001F09}, {0x00001F82, 0x00001F0A}, {0x00001F83, 0x00001F0B},
-{0x00001F84, 0x00001F0C}, {0x00001F85, 0x00001F0D}, {0x00001F86, 0x00001F0E}, {0x00001F87, 0x00001F0F},
-{0x00001F88, 0x00001F08}, {0x00001F89, 0x00001F09}, {0x00001F8A, 0x00001F0A}, {0x00001F8B, 0x00001F0B},
-{0x00001F8C, 0x00001F0C}, {0x00001F8D, 0x00001F0D}, {0x00001F8E, 0x00001F0E}, {0x00001F8F, 0x00001F0F},
-{0x00001F90, 0x00001F28}, {0x00001F91, 0x00001F29}, {0x00001F92, 0x00001F2A}, {0x00001F93, 0x00001F2B},
-{0x00001F94, 0x00001F2C}, {0x00001F95, 0x00001F2D}, {0x00001F96, 0x00001F2E}, {0x00001F97, 0x00001F2F},
-{0x00001F98, 0x00001F28}, {0x00001F99, 0x00001F29}, {0x00001F9A, 0x00001F2A}, {0x00001F9B, 0x00001F2B},
-{0x00001F9C, 0x00001F2C}, {0x00001F9D, 0x00001F2D}, {0x00001F9E, 0x00001F2E}, {0x00001F9F, 0x00001F2F},
-{0x00001FA0, 0x00001F68}, {0x00001FA1, 0x00001F69}, {0x00001FA2, 0x00001F6A}, {0x00001FA3, 0x00001F6B},
-{0x00001FA4, 0x00001F6C}, {0x00001FA5, 0x00001F6D}, {0x00001FA6, 0x00001F6E}, {0x00001FA7, 0x00001F6F},
-{0x00001FA8, 0x00001F68}, {0x00001FA9, 0x00001F69}, {0x00001FAA, 0x00001F6A}, {0x00001FAB, 0x00001F6B},
-{0x00001FAC, 0x00001F6C}, {0x00001FAD, 0x00001F6D}, {0x00001FAE, 0x00001F6E}, {0x00001FAF, 0x00001F6F},
-{0x00001FB0, 0x00001FB8}, {0x00001FB1, 0x00001FB9}, {0x00001FB2, 0x00001FBA}, {0x00001FB3, 0x00000391},
-{0x00001FB4, 0x00000386}, {0x00001FB6, 0x00000391}, {0x00001FB7, 0x00000391}, {0x00001FBC, 0x00000391},
-{0x00001FBE, 0x00000399}, {0x00001FC2, 0x00001FCA}, {0x00001FC3, 0x00000397}, {0x00001FC4, 0x00000389},
-{0x00001FC6, 0x00000397}, {0x00001FC7, 0x00000397}, {0x00001FCC, 0x00000397}, {0x00001FD0, 0x00001FD8},
-{0x00001FD1, 0x00001FD9}, {0x00001FD2, 0x00000399}, {0x00001FD3, 0x00000399}, {0x00001FD6, 0x00000399},
-{0x00001FD7, 0x00000399}, {0x00001FE0, 0x00001FE8}, {0x00001FE1, 0x00001FE9}, {0x00001FE2, 0x000003A5},
-{0x00001FE3, 0x000003A5}, {0x00001FE4, 0x000003A1}, {0x00001FE5, 0x00001FEC}, {0x00001FE6, 0x000003A5},
-{0x00001FE7, 0x000003A5}, {0x00001FF2, 0x00001FFA}, {0x00001FF3, 0x000003A9}, {0x00001FF4, 0x0000038F},
-{0x00001FF6, 0x000003A9}, {0x00001FF7, 0x000003A9}, {0x00001FFC, 0x000003A9}, {0x0000214E, 0x00002132},
-{0x00002170, 0x00002160}, {0x00002171, 0x00002161}, {0x00002172, 0x00002162}, {0x00002173, 0x00002163},
-{0x00002174, 0x00002164}, {0x00002175, 0x00002165}, {0x00002176, 0x00002166}, {0x00002177, 0x00002167},
-{0x00002178, 0x00002168}, {0x00002179, 0x00002169}, {0x0000217A, 0x0000216A}, {0x0000217B, 0x0000216B},
-{0x0000217C, 0x0000216C}, {0x0000217D, 0x0000216D}, {0x0000217E, 0x0000216E}, {0x0000217F, 0x0000216F},
-{0x00002184, 0x00002183}, {0x000024D0, 0x000024B6}, {0x000024D1, 0x000024B7}, {0x000024D2, 0x000024B8},
-{0x000024D3, 0x000024B9}, {0x000024D4, 0x000024BA}, {0x000024D5, 0x000024BB}, {0x000024D6, 0x000024BC},
-{0x000024D7, 0x000024BD}, {0x000024D8, 0x000024BE}, {0x000024D9, 0x000024BF}, {0x000024DA, 0x000024C0},
-{0x000024DB, 0x000024C1}, {0x000024DC, 0x000024C2}, {0x000024DD, 0x000024C3}, {0x000024DE, 0x000024C4},
-{0x000024DF, 0x000024C5}, {0x000024E0, 0x000024C6}, {0x000024E1, 0x000024C7}, {0x000024E2, 0x000024C8},
-{0x000024E3, 0x000024C9}, {0x000024E4, 0x000024CA}, {0x000024E5, 0x000024CB}, {0x000024E6, 0x000024CC},
-{0x000024E7, 0x000024CD}, {0x000024E8, 0x000024CE}, {0x000024E9, 0x000024CF}, {0x00002C30, 0x00002C00},
-{0x00002C31, 0x00002C01}, {0x00002C32, 0x00002C02}, {0x00002C33, 0x00002C03}, {0x00002C34, 0x00002C04},
-{0x00002C35, 0x00002C05}, {0x00002C36, 0x00002C06}, {0x00002C37, 0x00002C07}, {0x00002C38, 0x00002C08},
-{0x00002C39, 0x00002C09}, {0x00002C3A, 0x00002C0A}, {0x00002C3B, 0x00002C0B}, {0x00002C3C, 0x00002C0C},
-{0x00002C3D, 0x00002C0D}, {0x00002C3E, 0x00002C0E}, {0x00002C3F, 0x00002C0F}, {0x00002C40, 0x00002C10},
-{0x00002C41, 0x00002C11}, {0x00002C42, 0x00002C12}, {0x00002C43, 0x00002C13}, {0x00002C44, 0x00002C14},
-{0x00002C45, 0x00002C15}, {0x00002C46, 0x00002C16}, {0x00002C47, 0x00002C17}, {0x00002C48, 0x00002C18},
-{0x00002C49, 0x00002C19}, {0x00002C4A, 0x00002C1A}, {0x00002C4B, 0x00002C1B}, {0x00002C4C, 0x00002C1C},
-{0x00002C4D, 0x00002C1D}, {0x00002C4E, 0x00002C1E}, {0x00002C4F, 0x00002C1F}, {0x00002C50, 0x00002C20},
-{0x00002C51, 0x00002C21}, {0x00002C52, 0x00002C22}, {0x00002C53, 0x00002C23}, {0x00002C54, 0x00002C24},
-{0x00002C55, 0x00002C25}, {0x00002C56, 0x00002C26}, {0x00002C57, 0x00002C27}, {0x00002C58, 0x00002C28},
-{0x00002C59, 0x00002C29}, {0x00002C5A, 0x00002C2A}, {0x00002C5B, 0x00002C2B}, {0x00002C5C, 0x00002C2C},
-{0x00002C5D, 0x00002C2D}, {0x00002C5E, 0x00002C2E}, {0x00002C61, 0x00002C60}, {0x00002C65, 0x0000023A},
-{0x00002C66, 0x0000023E}, {0x00002C68, 0x00002C67}, {0x00002C6A, 0x00002C69}, {0x00002C6C, 0x00002C6B},
-{0x00002C73, 0x00002C72}, {0x00002C76, 0x00002C75}, {0x00002C81, 0x00002C80}, {0x00002C83, 0x00002C82},
-{0x00002C85, 0x00002C84}, {0x00002C87, 0x00002C86}, {0x00002C89, 0x00002C88}, {0x00002C8B, 0x00002C8A},
-{0x00002C8D, 0x00002C8C}, {0x00002C8F, 0x00002C8E}, {0x00002C91, 0x00002C90}, {0x00002C93, 0x00002C92},
-{0x00002C95, 0x00002C94}, {0x00002C97, 0x00002C96}, {0x00002C99, 0x00002C98}, {0x00002C9B, 0x00002C9A},
-{0x00002C9D, 0x00002C9C}, {0x00002C9F, 0x00002C9E}, {0x00002CA1, 0x00002CA0}, {0x00002CA3, 0x00002CA2},
-{0x00002CA5, 0x00002CA4}, {0x00002CA7, 0x00002CA6}, {0x00002CA9, 0x00002CA8}, {0x00002CAB, 0x00002CAA},
-{0x00002CAD, 0x00002CAC}, {0x00002CAF, 0x00002CAE}, {0x00002CB1, 0x00002CB0}, {0x00002CB3, 0x00002CB2},
-{0x00002CB5, 0x00002CB4}, {0x00002CB7, 0x00002CB6}, {0x00002CB9, 0x00002CB8}, {0x00002CBB, 0x00002CBA},
-{0x00002CBD, 0x00002CBC}, {0x00002CBF, 0x00002CBE}, {0x00002CC1, 0x00002CC0}, {0x00002CC3, 0x00002CC2},
-{0x00002CC5, 0x00002CC4}, {0x00002CC7, 0x00002CC6}, {0x00002CC9, 0x00002CC8}, {0x00002CCB, 0x00002CCA},
-{0x00002CCD, 0x00002CCC}, {0x00002CCF, 0x00002CCE}, {0x00002CD1, 0x00002CD0}, {0x00002CD3, 0x00002CD2},
-{0x00002CD5, 0x00002CD4}, {0x00002CD7, 0x00002CD6}, {0x00002CD9, 0x00002CD8}, {0x00002CDB, 0x00002CDA},
-{0x00002CDD, 0x00002CDC}, {0x00002CDF, 0x00002CDE}, {0x00002CE1, 0x00002CE0}, {0x00002CE3, 0x00002CE2},
-{0x00002CEC, 0x00002CEB}, {0x00002CEE, 0x00002CED}, {0x00002CF3, 0x00002CF2}, {0x00002D00, 0x000010A0},
-{0x00002D01, 0x000010A1}, {0x00002D02, 0x000010A2}, {0x00002D03, 0x000010A3}, {0x00002D04, 0x000010A4},
-{0x00002D05, 0x000010A5}, {0x00002D06, 0x000010A6}, {0x00002D07, 0x000010A7}, {0x00002D08, 0x000010A8},
-{0x00002D09, 0x000010A9}, {0x00002D0A, 0x000010AA}, {0x00002D0B, 0x000010AB}, {0x00002D0C, 0x000010AC},
-{0x00002D0D, 0x000010AD}, {0x00002D0E, 0x000010AE}, {0x00002D0F, 0x000010AF}, {0x00002D10, 0x000010B0},
-{0x00002D11, 0x000010B1}, {0x00002D12, 0x000010B2}, {0x00002D13, 0x000010B3}, {0x00002D14, 0x000010B4},
-{0x00002D15, 0x000010B5}, {0x00002D16, 0x000010B6}, {0x00002D17, 0x000010B7}, {0x00002D18, 0x000010B8},
-{0x00002D19, 0x000010B9}, {0x00002D1A, 0x000010BA}, {0x00002D1B, 0x000010BB}, {0x00002D1C, 0x000010BC},
-{0x00002D1D, 0x000010BD}, {0x00002D1E, 0x000010BE}, {0x00002D1F, 0x000010BF}, {0x00002D20, 0x000010C0},
-{0x00002D21, 0x000010C1}, {0x00002D22, 0x000010C2}, {0x00002D23, 0x000010C3}, {0x00002D24, 0x000010C4},
-{0x00002D25, 0x000010C5}, {0x00002D27, 0x000010C7}, {0x00002D2D, 0x000010CD}, {0x0000A641, 0x0000A640},
-{0x0000A643, 0x0000A642}, {0x0000A645, 0x0000A644}, {0x0000A647, 0x0000A646}, {0x0000A649, 0x0000A648},
-{0x0000A64B, 0x0000A64A}, {0x0000A64D, 0x0000A64C}, {0x0000A64F, 0x0000A64E}, {0x0000A651, 0x0000A650},
-{0x0000A653, 0x0000A652}, {0x0000A655, 0x0000A654}, {0x0000A657, 0x0000A656}, {0x0000A659, 0x0000A658},
-{0x0000A65B, 0x0000A65A}, {0x0000A65D, 0x0000A65C}, {0x0000A65F, 0x0000A65E}, {0x0000A661, 0x0000A660},
-{0x0000A663, 0x0000A662}, {0x0000A665, 0x0000A664}, {0x0000A667, 0x0000A666}, {0x0000A669, 0x0000A668},
-{0x0000A66B, 0x0000A66A}, {0x0000A66D, 0x0000A66C}, {0x0000A681, 0x0000A680}, {0x0000A683, 0x0000A682},
-{0x0000A685, 0x0000A684}, {0x0000A687, 0x0000A686}, {0x0000A689, 0x0000A688}, {0x0000A68B, 0x0000A68A},
-{0x0000A68D, 0x0000A68C}, {0x0000A68F, 0x0000A68E}, {0x0000A691, 0x0000A690}, {0x0000A693, 0x0000A692},
-{0x0000A695, 0x0000A694}, {0x0000A697, 0x0000A696}, {0x0000A699, 0x0000A698}, {0x0000A69B, 0x0000A69A},
-{0x0000A723, 0x0000A722}, {0x0000A725, 0x0000A724}, {0x0000A727, 0x0000A726}, {0x0000A729, 0x0000A728},
-{0x0000A72B, 0x0000A72A}, {0x0000A72D, 0x0000A72C}, {0x0000A72F, 0x0000A72E}, {0x0000A733, 0x0000A732},
-{0x0000A735, 0x0000A734}, {0x0000A737, 0x0000A736}, {0x0000A739, 0x0000A738}, {0x0000A73B, 0x0000A73A},
-{0x0000A73D, 0x0000A73C}, {0x0000A73F, 0x0000A73E}, {0x0000A741, 0x0000A740}, {0x0000A743, 0x0000A742},
-{0x0000A745, 0x0000A744}, {0x0000A747, 0x0000A746}, {0x0000A749, 0x0000A748}, {0x0000A74B, 0x0000A74A},
-{0x0000A74D, 0x0000A74C}, {0x0000A74F, 0x0000A74E}, {0x0000A751, 0x0000A750}, {0x0000A753, 0x0000A752},
-{0x0000A755, 0x0000A754}, {0x0000A757, 0x0000A756}, {0x0000A759, 0x0000A758}, {0x0000A75B, 0x0000A75A},
-{0x0000A75D, 0x0000A75C}, {0x0000A75F, 0x0000A75E}, {0x0000A761, 0x0000A760}, {0x0000A763, 0x0000A762},
-{0x0000A765, 0x0000A764}, {0x0000A767, 0x0000A766}, {0x0000A769, 0x0000A768}, {0x0000A76B, 0x0000A76A},
-{0x0000A76D, 0x0000A76C}, {0x0000A76F, 0x0000A76E}, {0x0000A77A, 0x0000A779}, {0x0000A77C, 0x0000A77B},
-{0x0000A77F, 0x0000A77E}, {0x0000A781, 0x0000A780}, {0x0000A783, 0x0000A782}, {0x0000A785, 0x0000A784},
-{0x0000A787, 0x0000A786}, {0x0000A78C, 0x0000A78B}, {0x0000A791, 0x0000A790}, {0x0000A793, 0x0000A792},
-{0x0000A794, 0x0000A7C4}, {0x0000A797, 0x0000A796}, {0x0000A799, 0x0000A798}, {0x0000A79B, 0x0000A79A},
-{0x0000A79D, 0x0000A79C}, {0x0000A79F, 0x0000A79E}, {0x0000A7A1, 0x0000A7A0}, {0x0000A7A3, 0x0000A7A2},
-{0x0000A7A5, 0x0000A7A4}, {0x0000A7A7, 0x0000A7A6}, {0x0000A7A9, 0x0000A7A8}, {0x0000A7B5, 0x0000A7B4},
-{0x0000A7B7, 0x0000A7B6}, {0x0000A7B9, 0x0000A7B8}, {0x0000A7BB, 0x0000A7BA}, {0x0000A7BD, 0x0000A7BC},
-{0x0000A7BF, 0x0000A7BE}, {0x0000A7C3, 0x0000A7C2}, {0x0000A7C8, 0x0000A7C7}, {0x0000A7CA, 0x0000A7C9},
-{0x0000A7F6, 0x0000A7F5}, {0x0000AB53, 0x0000A7B3}, {0x0000AB70, 0x000013A0}, {0x0000AB71, 0x000013A1},
-{0x0000AB72, 0x000013A2}, {0x0000AB73, 0x000013A3}, {0x0000AB74, 0x000013A4}, {0x0000AB75, 0x000013A5},
-{0x0000AB76, 0x000013A6}, {0x0000AB77, 0x000013A7}, {0x0000AB78, 0x000013A8}, {0x0000AB79, 0x000013A9},
-{0x0000AB7A, 0x000013AA}, {0x0000AB7B, 0x000013AB}, {0x0000AB7C, 0x000013AC}, {0x0000AB7D, 0x000013AD},
-{0x0000AB7E, 0x000013AE}, {0x0000AB7F, 0x000013AF}, {0x0000AB80, 0x000013B0}, {0x0000AB81, 0x000013B1},
-{0x0000AB82, 0x000013B2}, {0x0000AB83, 0x000013B3}, {0x0000AB84, 0x000013B4}, {0x0000AB85, 0x000013B5},
-{0x0000AB86, 0x000013B6}, {0x0000AB87, 0x000013B7}, {0x0000AB88, 0x000013B8}, {0x0000AB89, 0x000013B9},
-{0x0000AB8A, 0x000013BA}, {0x0000AB8B, 0x000013BB}, {0x0000AB8C, 0x000013BC}, {0x0000AB8D, 0x000013BD},
-{0x0000AB8E, 0x000013BE}, {0x0000AB8F, 0x000013BF}, {0x0000AB90, 0x000013C0}, {0x0000AB91, 0x000013C1},
-{0x0000AB92, 0x000013C2}, {0x0000AB93, 0x000013C3}, {0x0000AB94, 0x000013C4}, {0x0000AB95, 0x000013C5},
-{0x0000AB96, 0x000013C6}, {0x0000AB97, 0x000013C7}, {0x0000AB98, 0x000013C8}, {0x0000AB99, 0x000013C9},
-{0x0000AB9A, 0x000013CA}, {0x0000AB9B, 0x000013CB}, {0x0000AB9C, 0x000013CC}, {0x0000AB9D, 0x000013CD},
-{0x0000AB9E, 0x000013CE}, {0x0000AB9F, 0x000013CF}, {0x0000ABA0, 0x000013D0}, {0x0000ABA1, 0x000013D1},
-{0x0000ABA2, 0x000013D2}, {0x0000ABA3, 0x000013D3}, {0x0000ABA4, 0x000013D4}, {0x0000ABA5, 0x000013D5},
-{0x0000ABA6, 0x000013D6}, {0x0000ABA7, 0x000013D7}, {0x0000ABA8, 0x000013D8}, {0x0000ABA9, 0x000013D9},
-{0x0000ABAA, 0x000013DA}, {0x0000ABAB, 0x000013DB}, {0x0000ABAC, 0x000013DC}, {0x0000ABAD, 0x000013DD},
-{0x0000ABAE, 0x000013DE}, {0x0000ABAF, 0x000013DF}, {0x0000ABB0, 0x000013E0}, {0x0000ABB1, 0x000013E1},
-{0x0000ABB2, 0x000013E2}, {0x0000ABB3, 0x000013E3}, {0x0000ABB4, 0x000013E4}, {0x0000ABB5, 0x000013E5},
-{0x0000ABB6, 0x000013E6}, {0x0000ABB7, 0x000013E7}, {0x0000ABB8, 0x000013E8}, {0x0000ABB9, 0x000013E9},
-{0x0000ABBA, 0x000013EA}, {0x0000ABBB, 0x000013EB}, {0x0000ABBC, 0x000013EC}, {0x0000ABBD, 0x000013ED},
-{0x0000ABBE, 0x000013EE}, {0x0000ABBF, 0x000013EF}, {0x0000FB00, 0x00000046}, {0x0000FB01, 0x00000046},
-{0x0000FB02, 0x00000046}, {0x0000FB03, 0x00000046}, {0x0000FB04, 0x00000046}, {0x0000FB05, 0x00000053},
-{0x0000FB06, 0x00000053}, {0x0000FB13, 0x00000544}, {0x0000FB14, 0x00000544}, {0x0000FB15, 0x00000544},
-{0x0000FB16, 0x0000054E}, {0x0000FB17, 0x00000544}, {0x0000FF41, 0x0000FF21}, {0x0000FF42, 0x0000FF22},
-{0x0000FF43, 0x0000FF23}, {0x0000FF44, 0x0000FF24}, {0x0000FF45, 0x0000FF25}, {0x0000FF46, 0x0000FF26},
-{0x0000FF47, 0x0000FF27}, {0x0000FF48, 0x0000FF28}, {0x0000FF49, 0x0000FF29}, {0x0000FF4A, 0x0000FF2A},
-{0x0000FF4B, 0x0000FF2B}, {0x0000FF4C, 0x0000FF2C}, {0x0000FF4D, 0x0000FF2D}, {0x0000FF4E, 0x0000FF2E},
-{0x0000FF4F, 0x0000FF2F}, {0x0000FF50, 0x0000FF30}, {0x0000FF51, 0x0000FF31}, {0x0000FF52, 0x0000FF32},
-{0x0000FF53, 0x0000FF33}, {0x0000FF54, 0x0000FF34}, {0x0000FF55, 0x0000FF35}, {0x0000FF56, 0x0000FF36},
-{0x0000FF57, 0x0000FF37}, {0x0000FF58, 0x0000FF38}, {0x0000FF59, 0x0000FF39}, {0x0000FF5A, 0x0000FF3A},
-{0x00010428, 0x00010400}, {0x00010429, 0x00010401}, {0x0001042A, 0x00010402}, {0x0001042B, 0x00010403},
-{0x0001042C, 0x00010404}, {0x0001042D, 0x00010405}, {0x0001042E, 0x00010406}, {0x0001042F, 0x00010407},
-{0x00010430, 0x00010408}, {0x00010431, 0x00010409}, {0x00010432, 0x0001040A}, {0x00010433, 0x0001040B},
-{0x00010434, 0x0001040C}, {0x00010435, 0x0001040D}, {0x00010436, 0x0001040E}, {0x00010437, 0x0001040F},
-{0x00010438, 0x00010410}, {0x00010439, 0x00010411}, {0x0001043A, 0x00010412}, {0x0001043B, 0x00010413},
-{0x0001043C, 0x00010414}, {0x0001043D, 0x00010415}, {0x0001043E, 0x00010416}, {0x0001043F, 0x00010417},
-{0x00010440, 0x00010418}, {0x00010441, 0x00010419}, {0x00010442, 0x0001041A}, {0x00010443, 0x0001041B},
-{0x00010444, 0x0001041C}, {0x00010445, 0x0001041D}, {0x00010446, 0x0001041E}, {0x00010447, 0x0001041F},
-{0x00010448, 0x00010420}, {0x00010449, 0x00010421}, {0x0001044A, 0x00010422}, {0x0001044B, 0x00010423},
-{0x0001044C, 0x00010424}, {0x0001044D, 0x00010425}, {0x0001044E, 0x00010426}, {0x0001044F, 0x00010427},
-{0x000104D8, 0x000104B0}, {0x000104D9, 0x000104B1}, {0x000104DA, 0x000104B2}, {0x000104DB, 0x000104B3},
-{0x000104DC, 0x000104B4}, {0x000104DD, 0x000104B5}, {0x000104DE, 0x000104B6}, {0x000104DF, 0x000104B7},
-{0x000104E0, 0x000104B8}, {0x000104E1, 0x000104B9}, {0x000104E2, 0x000104BA}, {0x000104E3, 0x000104BB},
-{0x000104E4, 0x000104BC}, {0x000104E5, 0x000104BD}, {0x000104E6, 0x000104BE}, {0x000104E7, 0x000104BF},
-{0x000104E8, 0x000104C0}, {0x000104E9, 0x000104C1}, {0x000104EA, 0x000104C2}, {0x000104EB, 0x000104C3},
-{0x000104EC, 0x000104C4}, {0x000104ED, 0x000104C5}, {0x000104EE, 0x000104C6}, {0x000104EF, 0x000104C7},
-{0x000104F0, 0x000104C8}, {0x000104F1, 0x000104C9}, {0x000104F2, 0x000104CA}, {0x000104F3, 0x000104CB},
-{0x000104F4, 0x000104CC}, {0x000104F5, 0x000104CD}, {0x000104F6, 0x000104CE}, {0x000104F7, 0x000104CF},
-{0x000104F8, 0x000104D0}, {0x000104F9, 0x000104D1}, {0x000104FA, 0x000104D2}, {0x000104FB, 0x000104D3},
-{0x00010CC0, 0x00010C80}, {0x00010CC1, 0x00010C81}, {0x00010CC2, 0x00010C82}, {0x00010CC3, 0x00010C83},
-{0x00010CC4, 0x00010C84}, {0x00010CC5, 0x00010C85}, {0x00010CC6, 0x00010C86}, {0x00010CC7, 0x00010C87},
-{0x00010CC8, 0x00010C88}, {0x00010CC9, 0x00010C89}, {0x00010CCA, 0x00010C8A}, {0x00010CCB, 0x00010C8B},
-{0x00010CCC, 0x00010C8C}, {0x00010CCD, 0x00010C8D}, {0x00010CCE, 0x00010C8E}, {0x00010CCF, 0x00010C8F},
-{0x00010CD0, 0x00010C90}, {0x00010CD1, 0x00010C91}, {0x00010CD2, 0x00010C92}, {0x00010CD3, 0x00010C93},
-{0x00010CD4, 0x00010C94}, {0x00010CD5, 0x00010C95}, {0x00010CD6, 0x00010C96}, {0x00010CD7, 0x00010C97},
-{0x00010CD8, 0x00010C98}, {0x00010CD9, 0x00010C99}, {0x00010CDA, 0x00010C9A}, {0x00010CDB, 0x00010C9B},
-{0x00010CDC, 0x00010C9C}, {0x00010CDD, 0x00010C9D}, {0x00010CDE, 0x00010C9E}, {0x00010CDF, 0x00010C9F},
-{0x00010CE0, 0x00010CA0}, {0x00010CE1, 0x00010CA1}, {0x00010CE2, 0x00010CA2}, {0x00010CE3, 0x00010CA3},
-{0x00010CE4, 0x00010CA4}, {0x00010CE5, 0x00010CA5}, {0x00010CE6, 0x00010CA6}, {0x00010CE7, 0x00010CA7},
-{0x00010CE8, 0x00010CA8}, {0x00010CE9, 0x00010CA9}, {0x00010CEA, 0x00010CAA}, {0x00010CEB, 0x00010CAB},
-{0x00010CEC, 0x00010CAC}, {0x00010CED, 0x00010CAD}, {0x00010CEE, 0x00010CAE}, {0x00010CEF, 0x00010CAF},
-{0x00010CF0, 0x00010CB0}, {0x00010CF1, 0x00010CB1}, {0x00010CF2, 0x00010CB2}, {0x000118C0, 0x000118A0},
-{0x000118C1, 0x000118A1}, {0x000118C2, 0x000118A2}, {0x000118C3, 0x000118A3}, {0x000118C4, 0x000118A4},
-{0x000118C5, 0x000118A5}, {0x000118C6, 0x000118A6}, {0x000118C7, 0x000118A7}, {0x000118C8, 0x000118A8},
-{0x000118C9, 0x000118A9}, {0x000118CA, 0x000118AA}, {0x000118CB, 0x000118AB}, {0x000118CC, 0x000118AC},
-{0x000118CD, 0x000118AD}, {0x000118CE, 0x000118AE}, {0x000118CF, 0x000118AF}, {0x000118D0, 0x000118B0},
-{0x000118D1, 0x000118B1}, {0x000118D2, 0x000118B2}, {0x000118D3, 0x000118B3}, {0x000118D4, 0x000118B4},
-{0x000118D5, 0x000118B5}, {0x000118D6, 0x000118B6}, {0x000118D7, 0x000118B7}, {0x000118D8, 0x000118B8},
-{0x000118D9, 0x000118B9}, {0x000118DA, 0x000118BA}, {0x000118DB, 0x000118BB}, {0x000118DC, 0x000118BC},
-{0x000118DD, 0x000118BD}, {0x000118DE, 0x000118BE}, {0x000118DF, 0x000118BF}, {0x00016E60, 0x00016E40},
-{0x00016E61, 0x00016E41}, {0x00016E62, 0x00016E42}, {0x00016E63, 0x00016E43}, {0x00016E64, 0x00016E44},
-{0x00016E65, 0x00016E45}, {0x00016E66, 0x00016E46}, {0x00016E67, 0x00016E47}, {0x00016E68, 0x00016E48},
-{0x00016E69, 0x00016E49}, {0x00016E6A, 0x00016E4A}, {0x00016E6B, 0x00016E4B}, {0x00016E6C, 0x00016E4C},
-{0x00016E6D, 0x00016E4D}, {0x00016E6E, 0x00016E4E}, {0x00016E6F, 0x00016E4F}, {0x00016E70, 0x00016E50},
-{0x00016E71, 0x00016E51}, {0x00016E72, 0x00016E52}, {0x00016E73, 0x00016E53}, {0x00016E74, 0x00016E54},
-{0x00016E75, 0x00016E55}, {0x00016E76, 0x00016E56}, {0x00016E77, 0x00016E57}, {0x00016E78, 0x00016E58},
-{0x00016E79, 0x00016E59}, {0x00016E7A, 0x00016E5A}, {0x00016E7B, 0x00016E5B}, {0x00016E7C, 0x00016E5C},
-{0x00016E7D, 0x00016E5D}, {0x00016E7E, 0x00016E5E}, {0x00016E7F, 0x00016E5F}, {0x0001E922, 0x0001E900},
-{0x0001E923, 0x0001E901}, {0x0001E924, 0x0001E902}, {0x0001E925, 0x0001E903}, {0x0001E926, 0x0001E904},
-{0x0001E927, 0x0001E905}, {0x0001E928, 0x0001E906}, {0x0001E929, 0x0001E907}, {0x0001E92A, 0x0001E908},
-{0x0001E92B, 0x0001E909}, {0x0001E92C, 0x0001E90A}, {0x0001E92D, 0x0001E90B}, {0x0001E92E, 0x0001E90C},
-{0x0001E92F, 0x0001E90D}, {0x0001E930, 0x0001E90E}, {0x0001E931, 0x0001E90F}, {0x0001E932, 0x0001E910},
-{0x0001E933, 0x0001E911}, {0x0001E934, 0x0001E912}, {0x0001E935, 0x0001E913}, {0x0001E936, 0x0001E914},
-{0x0001E937, 0x0001E915}, {0x0001E938, 0x0001E916}, {0x0001E939, 0x0001E917}, {0x0001E93A, 0x0001E918},
-{0x0001E93B, 0x0001E919}, {0x0001E93C, 0x0001E91A}, {0x0001E93D, 0x0001E91B}, {0x0001E93E, 0x0001E91C},
-{0x0001E93F, 0x0001E91D}, {0x0001E940, 0x0001E91E}, {0x0001E941, 0x0001E91F}, {0x0001E942, 0x0001E920},
-{0x0001E943, 0x0001E921},
-};
-
-const std::multimap<uint32_t, uint32_t> unicode_map_nfd = {
-{0x000000C0, 0x00000041}, {0x000000C0, 0x00000300}, {0x000000C1, 0x00000041}, {0x000000C1, 0x00000301},
-{0x000000C2, 0x00000041}, {0x000000C2, 0x00000302}, {0x000000C3, 0x00000041}, {0x000000C3, 0x00000303},
-{0x000000C4, 0x00000041}, {0x000000C4, 0x00000308}, {0x000000C5, 0x00000041}, {0x000000C5, 0x0000030A},
-{0x000000C7, 0x00000043}, {0x000000C7, 0x00000327}, {0x000000C8, 0x00000045}, {0x000000C8, 0x00000300},
-{0x000000C9, 0x00000045}, {0x000000C9, 0x00000301}, {0x000000CA, 0x00000045}, {0x000000CA, 0x00000302},
-{0x000000CB, 0x00000045}, {0x000000CB, 0x00000308}, {0x000000CC, 0x00000049}, {0x000000CC, 0x00000300},
-{0x000000CD, 0x00000049}, {0x000000CD, 0x00000301}, {0x000000CE, 0x00000049}, {0x000000CE, 0x00000302},
-{0x000000CF, 0x00000049}, {0x000000CF, 0x00000308}, {0x000000D1, 0x0000004E}, {0x000000D1, 0x00000303},
-{0x000000D2, 0x0000004F}, {0x000000D2, 0x00000300}, {0x000000D3, 0x0000004F}, {0x000000D3, 0x00000301},
-{0x000000D4, 0x0000004F}, {0x000000D4, 0x00000302}, {0x000000D5, 0x0000004F}, {0x000000D5, 0x00000303},
-{0x000000D6, 0x0000004F}, {0x000000D6, 0x00000308}, {0x000000D9, 0x00000055}, {0x000000D9, 0x00000300},
-{0x000000DA, 0x00000055}, {0x000000DA, 0x00000301}, {0x000000DB, 0x00000055}, {0x000000DB, 0x00000302},
-{0x000000DC, 0x00000055}, {0x000000DC, 0x00000308}, {0x000000DD, 0x00000059}, {0x000000DD, 0x00000301},
-{0x000000E0, 0x00000061}, {0x000000E0, 0x00000300}, {0x000000E1, 0x00000061}, {0x000000E1, 0x00000301},
-{0x000000E2, 0x00000061}, {0x000000E2, 0x00000302}, {0x000000E3, 0x00000061}, {0x000000E3, 0x00000303},
-{0x000000E4, 0x00000061}, {0x000000E4, 0x00000308}, {0x000000E5, 0x00000061}, {0x000000E5, 0x0000030A},
-{0x000000E7, 0x00000063}, {0x000000E7, 0x00000327}, {0x000000E8, 0x00000065}, {0x000000E8, 0x00000300},
-{0x000000E9, 0x00000065}, {0x000000E9, 0x00000301}, {0x000000EA, 0x00000065}, {0x000000EA, 0x00000302},
-{0x000000EB, 0x00000065}, {0x000000EB, 0x00000308}, {0x000000EC, 0x00000069}, {0x000000EC, 0x00000300},
-{0x000000ED, 0x00000069}, {0x000000ED, 0x00000301}, {0x000000EE, 0x00000069}, {0x000000EE, 0x00000302},
-{0x000000EF, 0x00000069}, {0x000000EF, 0x00000308}, {0x000000F1, 0x0000006E}, {0x000000F1, 0x00000303},
-{0x000000F2, 0x0000006F}, {0x000000F2, 0x00000300}, {0x000000F3, 0x0000006F}, {0x000000F3, 0x00000301},
-{0x000000F4, 0x0000006F}, {0x000000F4, 0x00000302}, {0x000000F5, 0x0000006F}, {0x000000F5, 0x00000303},
-{0x000000F6, 0x0000006F}, {0x000000F6, 0x00000308}, {0x000000F9, 0x00000075}, {0x000000F9, 0x00000300},
-{0x000000FA, 0x00000075}, {0x000000FA, 0x00000301}, {0x000000FB, 0x00000075}, {0x000000FB, 0x00000302},
-{0x000000FC, 0x00000075}, {0x000000FC, 0x00000308}, {0x000000FD, 0x00000079}, {0x000000FD, 0x00000301},
-{0x000000FF, 0x00000079}, {0x000000FF, 0x00000308}, {0x00000100, 0x00000041}, {0x00000100, 0x00000304},
-{0x00000101, 0x00000061}, {0x00000101, 0x00000304}, {0x00000102, 0x00000041}, {0x00000102, 0x00000306},
-{0x00000103, 0x00000061}, {0x00000103, 0x00000306}, {0x00000104, 0x00000041}, {0x00000104, 0x00000328},
-{0x00000105, 0x00000061}, {0x00000105, 0x00000328}, {0x00000106, 0x00000043}, {0x00000106, 0x00000301},
-{0x00000107, 0x00000063}, {0x00000107, 0x00000301}, {0x00000108, 0x00000043}, {0x00000108, 0x00000302},
-{0x00000109, 0x00000063}, {0x00000109, 0x00000302}, {0x0000010A, 0x00000043}, {0x0000010A, 0x00000307},
-{0x0000010B, 0x00000063}, {0x0000010B, 0x00000307}, {0x0000010C, 0x00000043}, {0x0000010C, 0x0000030C},
-{0x0000010D, 0x00000063}, {0x0000010D, 0x0000030C}, {0x0000010E, 0x00000044}, {0x0000010E, 0x0000030C},
-{0x0000010F, 0x00000064}, {0x0000010F, 0x0000030C}, {0x00000112, 0x00000045}, {0x00000112, 0x00000304},
-{0x00000113, 0x00000065}, {0x00000113, 0x00000304}, {0x00000114, 0x00000045}, {0x00000114, 0x00000306},
-{0x00000115, 0x00000065}, {0x00000115, 0x00000306}, {0x00000116, 0x00000045}, {0x00000116, 0x00000307},
-{0x00000117, 0x00000065}, {0x00000117, 0x00000307}, {0x00000118, 0x00000045}, {0x00000118, 0x00000328},
-{0x00000119, 0x00000065}, {0x00000119, 0x00000328}, {0x0000011A, 0x00000045}, {0x0000011A, 0x0000030C},
-{0x0000011B, 0x00000065}, {0x0000011B, 0x0000030C}, {0x0000011C, 0x00000047}, {0x0000011C, 0x00000302},
-{0x0000011D, 0x00000067}, {0x0000011D, 0x00000302}, {0x0000011E, 0x00000047}, {0x0000011E, 0x00000306},
-{0x0000011F, 0x00000067}, {0x0000011F, 0x00000306}, {0x00000120, 0x00000047}, {0x00000120, 0x00000307},
-{0x00000121, 0x00000067}, {0x00000121, 0x00000307}, {0x00000122, 0x00000047}, {0x00000122, 0x00000327},
-{0x00000123, 0x00000067}, {0x00000123, 0x00000327}, {0x00000124, 0x00000048}, {0x00000124, 0x00000302},
-{0x00000125, 0x00000068}, {0x00000125, 0x00000302}, {0x00000128, 0x00000049}, {0x00000128, 0x00000303},
-{0x00000129, 0x00000069}, {0x00000129, 0x00000303}, {0x0000012A, 0x00000049}, {0x0000012A, 0x00000304},
-{0x0000012B, 0x00000069}, {0x0000012B, 0x00000304}, {0x0000012C, 0x00000049}, {0x0000012C, 0x00000306},
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-{0x00001E05, 0x00000062}, {0x00001E05, 0x00000323}, {0x00001E06, 0x00000042}, {0x00001E06, 0x00000331},
-{0x00001E07, 0x00000062}, {0x00001E07, 0x00000331}, {0x00001E08, 0x00000043}, {0x00001E08, 0x00000327},
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-{0x00001E36, 0x0000004C}, {0x00001E36, 0x00000323}, {0x00001E37, 0x0000006C}, {0x00001E37, 0x00000323},
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-{0x00001E3D, 0x0000006C}, {0x00001E3D, 0x0000032D}, {0x00001E3E, 0x0000004D}, {0x00001E3E, 0x00000301},
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-{0x00001FF6, 0x00000342}, {0x00001FF7, 0x000003C9}, {0x00001FF7, 0x00000342}, {0x00001FF7, 0x00000345},
-{0x00001FF8, 0x0000039F}, {0x00001FF8, 0x00000300}, {0x00001FF9, 0x0000039F}, {0x00001FF9, 0x00000301},
-{0x00001FFA, 0x000003A9}, {0x00001FFA, 0x00000300}, {0x00001FFB, 0x000003A9}, {0x00001FFB, 0x00000301},
-{0x00001FFC, 0x000003A9}, {0x00001FFC, 0x00000345}, {0x00001FFD, 0x000000B4}, {0x00002000, 0x00002002},
-{0x00002001, 0x00002003}, {0x00002126, 0x000003A9}, {0x0000212A, 0x0000004B}, {0x0000212B, 0x00000041},
-{0x0000212B, 0x0000030A}, {0x0000219A, 0x00002190}, {0x0000219A, 0x00000338}, {0x0000219B, 0x00002192},
-{0x0000219B, 0x00000338}, {0x000021AE, 0x00002194}, {0x000021AE, 0x00000338}, {0x000021CD, 0x000021D0},
-{0x000021CD, 0x00000338}, {0x000021CE, 0x000021D4}, {0x000021CE, 0x00000338}, {0x000021CF, 0x000021D2},
-{0x000021CF, 0x00000338}, {0x00002204, 0x00002203}, {0x00002204, 0x00000338}, {0x00002209, 0x00002208},
-{0x00002209, 0x00000338}, {0x0000220C, 0x0000220B}, {0x0000220C, 0x00000338}, {0x00002224, 0x00002223},
-{0x00002224, 0x00000338}, {0x00002226, 0x00002225}, {0x00002226, 0x00000338}, {0x00002241, 0x0000223C},
-{0x00002241, 0x00000338}, {0x00002244, 0x00002243}, {0x00002244, 0x00000338}, {0x00002247, 0x00002245},
-{0x00002247, 0x00000338}, {0x00002249, 0x00002248}, {0x00002249, 0x00000338}, {0x00002260, 0x0000003D},
-{0x00002260, 0x00000338}, {0x00002262, 0x00002261}, {0x00002262, 0x00000338}, {0x0000226D, 0x0000224D},
-{0x0000226D, 0x00000338}, {0x0000226E, 0x0000003C}, {0x0000226E, 0x00000338}, {0x0000226F, 0x0000003E},
-{0x0000226F, 0x00000338}, {0x00002270, 0x00002264}, {0x00002270, 0x00000338}, {0x00002271, 0x00002265},
-{0x00002271, 0x00000338}, {0x00002274, 0x00002272}, {0x00002274, 0x00000338}, {0x00002275, 0x00002273},
-{0x00002275, 0x00000338}, {0x00002278, 0x00002276}, {0x00002278, 0x00000338}, {0x00002279, 0x00002277},
-{0x00002279, 0x00000338}, {0x00002280, 0x0000227A}, {0x00002280, 0x00000338}, {0x00002281, 0x0000227B},
-{0x00002281, 0x00000338}, {0x00002284, 0x00002282}, {0x00002284, 0x00000338}, {0x00002285, 0x00002283},
-{0x00002285, 0x00000338}, {0x00002288, 0x00002286}, {0x00002288, 0x00000338}, {0x00002289, 0x00002287},
-{0x00002289, 0x00000338}, {0x000022AC, 0x000022A2}, {0x000022AC, 0x00000338}, {0x000022AD, 0x000022A8},
-{0x000022AD, 0x00000338}, {0x000022AE, 0x000022A9}, {0x000022AE, 0x00000338}, {0x000022AF, 0x000022AB},
-{0x000022AF, 0x00000338}, {0x000022E0, 0x0000227C}, {0x000022E0, 0x00000338}, {0x000022E1, 0x0000227D},
-{0x000022E1, 0x00000338}, {0x000022E2, 0x00002291}, {0x000022E2, 0x00000338}, {0x000022E3, 0x00002292},
-{0x000022E3, 0x00000338}, {0x000022EA, 0x000022B2}, {0x000022EA, 0x00000338}, {0x000022EB, 0x000022B3},
-{0x000022EB, 0x00000338}, {0x000022EC, 0x000022B4}, {0x000022EC, 0x00000338}, {0x000022ED, 0x000022B5},
-{0x000022ED, 0x00000338}, {0x00002329, 0x00003008}, {0x0000232A, 0x00003009}, {0x00002ADC, 0x00002ADD},
-{0x00002ADC, 0x00000338}, {0x0000304C, 0x0000304B}, {0x0000304C, 0x00003099}, {0x0000304E, 0x0000304D},
-{0x0000304E, 0x00003099}, {0x00003050, 0x0000304F}, {0x00003050, 0x00003099}, {0x00003052, 0x00003051},
-{0x00003052, 0x00003099}, {0x00003054, 0x00003053}, {0x00003054, 0x00003099}, {0x00003056, 0x00003055},
-{0x00003056, 0x00003099}, {0x00003058, 0x00003057}, {0x00003058, 0x00003099}, {0x0000305A, 0x00003059},
-{0x0000305A, 0x00003099}, {0x0000305C, 0x0000305B}, {0x0000305C, 0x00003099}, {0x0000305E, 0x0000305D},
-{0x0000305E, 0x00003099}, {0x00003060, 0x0000305F}, {0x00003060, 0x00003099}, {0x00003062, 0x00003061},
-{0x00003062, 0x00003099}, {0x00003065, 0x00003064}, {0x00003065, 0x00003099}, {0x00003067, 0x00003066},
-{0x00003067, 0x00003099}, {0x00003069, 0x00003068}, {0x00003069, 0x00003099}, {0x00003070, 0x0000306F},
-{0x00003070, 0x00003099}, {0x00003071, 0x0000306F}, {0x00003071, 0x0000309A}, {0x00003073, 0x00003072},
-{0x00003073, 0x00003099}, {0x00003074, 0x00003072}, {0x00003074, 0x0000309A}, {0x00003076, 0x00003075},
-{0x00003076, 0x00003099}, {0x00003077, 0x00003075}, {0x00003077, 0x0000309A}, {0x00003079, 0x00003078},
-{0x00003079, 0x00003099}, {0x0000307A, 0x00003078}, {0x0000307A, 0x0000309A}, {0x0000307C, 0x0000307B},
-{0x0000307C, 0x00003099}, {0x0000307D, 0x0000307B}, {0x0000307D, 0x0000309A}, {0x00003094, 0x00003046},
-{0x00003094, 0x00003099}, {0x0000309E, 0x0000309D}, {0x0000309E, 0x00003099}, {0x000030AC, 0x000030AB},
-{0x000030AC, 0x00003099}, {0x000030AE, 0x000030AD}, {0x000030AE, 0x00003099}, {0x000030B0, 0x000030AF},
-{0x000030B0, 0x00003099}, {0x000030B2, 0x000030B1}, {0x000030B2, 0x00003099}, {0x000030B4, 0x000030B3},
-{0x000030B4, 0x00003099}, {0x000030B6, 0x000030B5}, {0x000030B6, 0x00003099}, {0x000030B8, 0x000030B7},
-{0x000030B8, 0x00003099}, {0x000030BA, 0x000030B9}, {0x000030BA, 0x00003099}, {0x000030BC, 0x000030BB},
-{0x000030BC, 0x00003099}, {0x000030BE, 0x000030BD}, {0x000030BE, 0x00003099}, {0x000030C0, 0x000030BF},
-{0x000030C0, 0x00003099}, {0x000030C2, 0x000030C1}, {0x000030C2, 0x00003099}, {0x000030C5, 0x000030C4},
-{0x000030C5, 0x00003099}, {0x000030C7, 0x000030C6}, {0x000030C7, 0x00003099}, {0x000030C9, 0x000030C8},
-{0x000030C9, 0x00003099}, {0x000030D0, 0x000030CF}, {0x000030D0, 0x00003099}, {0x000030D1, 0x000030CF},
-{0x000030D1, 0x0000309A}, {0x000030D3, 0x000030D2}, {0x000030D3, 0x00003099}, {0x000030D4, 0x000030D2},
-{0x000030D4, 0x0000309A}, {0x000030D6, 0x000030D5}, {0x000030D6, 0x00003099}, {0x000030D7, 0x000030D5},
-{0x000030D7, 0x0000309A}, {0x000030D9, 0x000030D8}, {0x000030D9, 0x00003099}, {0x000030DA, 0x000030D8},
-{0x000030DA, 0x0000309A}, {0x000030DC, 0x000030DB}, {0x000030DC, 0x00003099}, {0x000030DD, 0x000030DB},
-{0x000030DD, 0x0000309A}, {0x000030F4, 0x000030A6}, {0x000030F4, 0x00003099}, {0x000030F7, 0x000030EF},
-{0x000030F7, 0x00003099}, {0x000030F8, 0x000030F0}, {0x000030F8, 0x00003099}, {0x000030F9, 0x000030F1},
-{0x000030F9, 0x00003099}, {0x000030FA, 0x000030F2}, {0x000030FA, 0x00003099}, {0x000030FE, 0x000030FD},
-{0x000030FE, 0x00003099}, {0x0000F900, 0x00008C48}, {0x0000F901, 0x000066F4}, {0x0000F902, 0x00008ECA},
-{0x0000F903, 0x00008CC8}, {0x0000F904, 0x00006ED1}, {0x0000F905, 0x00004E32}, {0x0000F906, 0x000053E5},
-{0x0000F907, 0x00009F9C}, {0x0000F908, 0x00009F9C}, {0x0000F909, 0x00005951}, {0x0000F90A, 0x000091D1},
-{0x0000F90B, 0x00005587}, {0x0000F90C, 0x00005948}, {0x0000F90D, 0x000061F6}, {0x0000F90E, 0x00007669},
-{0x0000F90F, 0x00007F85}, {0x0000F910, 0x0000863F}, {0x0000F911, 0x000087BA}, {0x0000F912, 0x000088F8},
-{0x0000F913, 0x0000908F}, {0x0000F914, 0x00006A02}, {0x0000F915, 0x00006D1B}, {0x0000F916, 0x000070D9},
-{0x0000F917, 0x000073DE}, {0x0000F918, 0x0000843D}, {0x0000F919, 0x0000916A}, {0x0000F91A, 0x000099F1},
-{0x0000F91B, 0x00004E82}, {0x0000F91C, 0x00005375}, {0x0000F91D, 0x00006B04}, {0x0000F91E, 0x0000721B},
-{0x0000F91F, 0x0000862D}, {0x0000F920, 0x00009E1E}, {0x0000F921, 0x00005D50}, {0x0000F922, 0x00006FEB},
-{0x0000F923, 0x000085CD}, {0x0000F924, 0x00008964}, {0x0000F925, 0x000062C9}, {0x0000F926, 0x000081D8},
-{0x0000F927, 0x0000881F}, {0x0000F928, 0x00005ECA}, {0x0000F929, 0x00006717}, {0x0000F92A, 0x00006D6A},
-{0x0000F92B, 0x000072FC}, {0x0000F92C, 0x000090CE}, {0x0000F92D, 0x00004F86}, {0x0000F92E, 0x000051B7},
-{0x0000F92F, 0x000052DE}, {0x0000F930, 0x000064C4}, {0x0000F931, 0x00006AD3}, {0x0000F932, 0x00007210},
-{0x0000F933, 0x000076E7}, {0x0000F934, 0x00008001}, {0x0000F935, 0x00008606}, {0x0000F936, 0x0000865C},
-{0x0000F937, 0x00008DEF}, {0x0000F938, 0x00009732}, {0x0000F939, 0x00009B6F}, {0x0000F93A, 0x00009DFA},
-{0x0000F93B, 0x0000788C}, {0x0000F93C, 0x0000797F}, {0x0000F93D, 0x00007DA0}, {0x0000F93E, 0x000083C9},
-{0x0000F93F, 0x00009304}, {0x0000F940, 0x00009E7F}, {0x0000F941, 0x00008AD6}, {0x0000F942, 0x000058DF},
-{0x0000F943, 0x00005F04}, {0x0000F944, 0x00007C60}, {0x0000F945, 0x0000807E}, {0x0000F946, 0x00007262},
-{0x0000F947, 0x000078CA}, {0x0000F948, 0x00008CC2}, {0x0000F949, 0x000096F7}, {0x0000F94A, 0x000058D8},
-{0x0000F94B, 0x00005C62}, {0x0000F94C, 0x00006A13}, {0x0000F94D, 0x00006DDA}, {0x0000F94E, 0x00006F0F},
-{0x0000F94F, 0x00007D2F}, {0x0000F950, 0x00007E37}, {0x0000F951, 0x0000964B}, {0x0000F952, 0x000052D2},
-{0x0000F953, 0x0000808B}, {0x0000F954, 0x000051DC}, {0x0000F955, 0x000051CC}, {0x0000F956, 0x00007A1C},
-{0x0000F957, 0x00007DBE}, {0x0000F958, 0x000083F1}, {0x0000F959, 0x00009675}, {0x0000F95A, 0x00008B80},
-{0x0000F95B, 0x000062CF}, {0x0000F95C, 0x00006A02}, {0x0000F95D, 0x00008AFE}, {0x0000F95E, 0x00004E39},
-{0x0000F95F, 0x00005BE7}, {0x0000F960, 0x00006012}, {0x0000F961, 0x00007387}, {0x0000F962, 0x00007570},
-{0x0000F963, 0x00005317}, {0x0000F964, 0x000078FB}, {0x0000F965, 0x00004FBF}, {0x0000F966, 0x00005FA9},
-{0x0000F967, 0x00004E0D}, {0x0000F968, 0x00006CCC}, {0x0000F969, 0x00006578}, {0x0000F96A, 0x00007D22},
-{0x0000F96B, 0x000053C3}, {0x0000F96C, 0x0000585E}, {0x0000F96D, 0x00007701}, {0x0000F96E, 0x00008449},
-{0x0000F96F, 0x00008AAA}, {0x0000F970, 0x00006BBA}, {0x0000F971, 0x00008FB0}, {0x0000F972, 0x00006C88},
-{0x0000F973, 0x000062FE}, {0x0000F974, 0x000082E5}, {0x0000F975, 0x000063A0}, {0x0000F976, 0x00007565},
-{0x0000F977, 0x00004EAE}, {0x0000F978, 0x00005169}, {0x0000F979, 0x000051C9}, {0x0000F97A, 0x00006881},
-{0x0000F97B, 0x00007CE7}, {0x0000F97C, 0x0000826F}, {0x0000F97D, 0x00008AD2}, {0x0000F97E, 0x000091CF},
-{0x0000F97F, 0x000052F5}, {0x0000F980, 0x00005442}, {0x0000F981, 0x00005973}, {0x0000F982, 0x00005EEC},
-{0x0000F983, 0x000065C5}, {0x0000F984, 0x00006FFE}, {0x0000F985, 0x0000792A}, {0x0000F986, 0x000095AD},
-{0x0000F987, 0x00009A6A}, {0x0000F988, 0x00009E97}, {0x0000F989, 0x00009ECE}, {0x0000F98A, 0x0000529B},
-{0x0000F98B, 0x000066C6}, {0x0000F98C, 0x00006B77}, {0x0000F98D, 0x00008F62}, {0x0000F98E, 0x00005E74},
-{0x0000F98F, 0x00006190}, {0x0000F990, 0x00006200}, {0x0000F991, 0x0000649A}, {0x0000F992, 0x00006F23},
-{0x0000F993, 0x00007149}, {0x0000F994, 0x00007489}, {0x0000F995, 0x000079CA}, {0x0000F996, 0x00007DF4},
-{0x0000F997, 0x0000806F}, {0x0000F998, 0x00008F26}, {0x0000F999, 0x000084EE}, {0x0000F99A, 0x00009023},
-{0x0000F99B, 0x0000934A}, {0x0000F99C, 0x00005217}, {0x0000F99D, 0x000052A3}, {0x0000F99E, 0x000054BD},
-{0x0000F99F, 0x000070C8}, {0x0000F9A0, 0x000088C2}, {0x0000F9A1, 0x00008AAA}, {0x0000F9A2, 0x00005EC9},
-{0x0000F9A3, 0x00005FF5}, {0x0000F9A4, 0x0000637B}, {0x0000F9A5, 0x00006BAE}, {0x0000F9A6, 0x00007C3E},
-{0x0000F9A7, 0x00007375}, {0x0000F9A8, 0x00004EE4}, {0x0000F9A9, 0x000056F9}, {0x0000F9AA, 0x00005BE7},
-{0x0000F9AB, 0x00005DBA}, {0x0000F9AC, 0x0000601C}, {0x0000F9AD, 0x000073B2}, {0x0000F9AE, 0x00007469},
-{0x0000F9AF, 0x00007F9A}, {0x0000F9B0, 0x00008046}, {0x0000F9B1, 0x00009234}, {0x0000F9B2, 0x000096F6},
-{0x0000F9B3, 0x00009748}, {0x0000F9B4, 0x00009818}, {0x0000F9B5, 0x00004F8B}, {0x0000F9B6, 0x000079AE},
-{0x0000F9B7, 0x000091B4}, {0x0000F9B8, 0x000096B8}, {0x0000F9B9, 0x000060E1}, {0x0000F9BA, 0x00004E86},
-{0x0000F9BB, 0x000050DA}, {0x0000F9BC, 0x00005BEE}, {0x0000F9BD, 0x00005C3F}, {0x0000F9BE, 0x00006599},
-{0x0000F9BF, 0x00006A02}, {0x0000F9C0, 0x000071CE}, {0x0000F9C1, 0x00007642}, {0x0000F9C2, 0x000084FC},
-{0x0000F9C3, 0x0000907C}, {0x0000F9C4, 0x00009F8D}, {0x0000F9C5, 0x00006688}, {0x0000F9C6, 0x0000962E},
-{0x0000F9C7, 0x00005289}, {0x0000F9C8, 0x0000677B}, {0x0000F9C9, 0x000067F3}, {0x0000F9CA, 0x00006D41},
-{0x0000F9CB, 0x00006E9C}, {0x0000F9CC, 0x00007409}, {0x0000F9CD, 0x00007559}, {0x0000F9CE, 0x0000786B},
-{0x0000F9CF, 0x00007D10}, {0x0000F9D0, 0x0000985E}, {0x0000F9D1, 0x0000516D}, {0x0000F9D2, 0x0000622E},
-{0x0000F9D3, 0x00009678}, {0x0000F9D4, 0x0000502B}, {0x0000F9D5, 0x00005D19}, {0x0000F9D6, 0x00006DEA},
-{0x0000F9D7, 0x00008F2A}, {0x0000F9D8, 0x00005F8B}, {0x0000F9D9, 0x00006144}, {0x0000F9DA, 0x00006817},
-{0x0000F9DB, 0x00007387}, {0x0000F9DC, 0x00009686}, {0x0000F9DD, 0x00005229}, {0x0000F9DE, 0x0000540F},
-{0x0000F9DF, 0x00005C65}, {0x0000F9E0, 0x00006613}, {0x0000F9E1, 0x0000674E}, {0x0000F9E2, 0x000068A8},
-{0x0000F9E3, 0x00006CE5}, {0x0000F9E4, 0x00007406}, {0x0000F9E5, 0x000075E2}, {0x0000F9E6, 0x00007F79},
-{0x0000F9E7, 0x000088CF}, {0x0000F9E8, 0x000088E1}, {0x0000F9E9, 0x000091CC}, {0x0000F9EA, 0x000096E2},
-{0x0000F9EB, 0x0000533F}, {0x0000F9EC, 0x00006EBA}, {0x0000F9ED, 0x0000541D}, {0x0000F9EE, 0x000071D0},
-{0x0000F9EF, 0x00007498}, {0x0000F9F0, 0x000085FA}, {0x0000F9F1, 0x000096A3}, {0x0000F9F2, 0x00009C57},
-{0x0000F9F3, 0x00009E9F}, {0x0000F9F4, 0x00006797}, {0x0000F9F5, 0x00006DCB}, {0x0000F9F6, 0x000081E8},
-{0x0000F9F7, 0x00007ACB}, {0x0000F9F8, 0x00007B20}, {0x0000F9F9, 0x00007C92}, {0x0000F9FA, 0x000072C0},
-{0x0000F9FB, 0x00007099}, {0x0000F9FC, 0x00008B58}, {0x0000F9FD, 0x00004EC0}, {0x0000F9FE, 0x00008336},
-{0x0000F9FF, 0x0000523A}, {0x0000FA00, 0x00005207}, {0x0000FA01, 0x00005EA6}, {0x0000FA02, 0x000062D3},
-{0x0000FA03, 0x00007CD6}, {0x0000FA04, 0x00005B85}, {0x0000FA05, 0x00006D1E}, {0x0000FA06, 0x000066B4},
-{0x0000FA07, 0x00008F3B}, {0x0000FA08, 0x0000884C}, {0x0000FA09, 0x0000964D}, {0x0000FA0A, 0x0000898B},
-{0x0000FA0B, 0x00005ED3}, {0x0000FA0C, 0x00005140}, {0x0000FA0D, 0x000055C0}, {0x0000FA10, 0x0000585A},
-{0x0000FA12, 0x00006674}, {0x0000FA15, 0x000051DE}, {0x0000FA16, 0x0000732A}, {0x0000FA17, 0x000076CA},
-{0x0000FA18, 0x0000793C}, {0x0000FA19, 0x0000795E}, {0x0000FA1A, 0x00007965}, {0x0000FA1B, 0x0000798F},
-{0x0000FA1C, 0x00009756}, {0x0000FA1D, 0x00007CBE}, {0x0000FA1E, 0x00007FBD}, {0x0000FA20, 0x00008612},
-{0x0000FA22, 0x00008AF8}, {0x0000FA25, 0x00009038}, {0x0000FA26, 0x000090FD}, {0x0000FA2A, 0x000098EF},
-{0x0000FA2B, 0x000098FC}, {0x0000FA2C, 0x00009928}, {0x0000FA2D, 0x00009DB4}, {0x0000FA2E, 0x000090DE},
-{0x0000FA2F, 0x000096B7}, {0x0000FA30, 0x00004FAE}, {0x0000FA31, 0x000050E7}, {0x0000FA32, 0x0000514D},
-{0x0000FA33, 0x000052C9}, {0x0000FA34, 0x000052E4}, {0x0000FA35, 0x00005351}, {0x0000FA36, 0x0000559D},
-{0x0000FA37, 0x00005606}, {0x0000FA38, 0x00005668}, {0x0000FA39, 0x00005840}, {0x0000FA3A, 0x000058A8},
-{0x0000FA3B, 0x00005C64}, {0x0000FA3C, 0x00005C6E}, {0x0000FA3D, 0x00006094}, {0x0000FA3E, 0x00006168},
-{0x0000FA3F, 0x0000618E}, {0x0000FA40, 0x000061F2}, {0x0000FA41, 0x0000654F}, {0x0000FA42, 0x000065E2},
-{0x0000FA43, 0x00006691}, {0x0000FA44, 0x00006885}, {0x0000FA45, 0x00006D77}, {0x0000FA46, 0x00006E1A},
-{0x0000FA47, 0x00006F22}, {0x0000FA48, 0x0000716E}, {0x0000FA49, 0x0000722B}, {0x0000FA4A, 0x00007422},
-{0x0000FA4B, 0x00007891}, {0x0000FA4C, 0x0000793E}, {0x0000FA4D, 0x00007949}, {0x0000FA4E, 0x00007948},
-{0x0000FA4F, 0x00007950}, {0x0000FA50, 0x00007956}, {0x0000FA51, 0x0000795D}, {0x0000FA52, 0x0000798D},
-{0x0000FA53, 0x0000798E}, {0x0000FA54, 0x00007A40}, {0x0000FA55, 0x00007A81}, {0x0000FA56, 0x00007BC0},
-{0x0000FA57, 0x00007DF4}, {0x0000FA58, 0x00007E09}, {0x0000FA59, 0x00007E41}, {0x0000FA5A, 0x00007F72},
-{0x0000FA5B, 0x00008005}, {0x0000FA5C, 0x000081ED}, {0x0000FA5D, 0x00008279}, {0x0000FA5E, 0x00008279},
-{0x0000FA5F, 0x00008457}, {0x0000FA60, 0x00008910}, {0x0000FA61, 0x00008996}, {0x0000FA62, 0x00008B01},
-{0x0000FA63, 0x00008B39}, {0x0000FA64, 0x00008CD3}, {0x0000FA65, 0x00008D08}, {0x0000FA66, 0x00008FB6},
-{0x0000FA67, 0x00009038}, {0x0000FA68, 0x000096E3}, {0x0000FA69, 0x000097FF}, {0x0000FA6A, 0x0000983B},
-{0x0000FA6B, 0x00006075}, {0x0000FA6C, 0x000242EE}, {0x0000FA6D, 0x00008218}, {0x0000FA70, 0x00004E26},
-{0x0000FA71, 0x000051B5}, {0x0000FA72, 0x00005168}, {0x0000FA73, 0x00004F80}, {0x0000FA74, 0x00005145},
-{0x0000FA75, 0x00005180}, {0x0000FA76, 0x000052C7}, {0x0000FA77, 0x000052FA}, {0x0000FA78, 0x0000559D},
-{0x0000FA79, 0x00005555}, {0x0000FA7A, 0x00005599}, {0x0000FA7B, 0x000055E2}, {0x0000FA7C, 0x0000585A},
-{0x0000FA7D, 0x000058B3}, {0x0000FA7E, 0x00005944}, {0x0000FA7F, 0x00005954}, {0x0000FA80, 0x00005A62},
-{0x0000FA81, 0x00005B28}, {0x0000FA82, 0x00005ED2}, {0x0000FA83, 0x00005ED9}, {0x0000FA84, 0x00005F69},
-{0x0000FA85, 0x00005FAD}, {0x0000FA86, 0x000060D8}, {0x0000FA87, 0x0000614E}, {0x0000FA88, 0x00006108},
-{0x0000FA89, 0x0000618E}, {0x0000FA8A, 0x00006160}, {0x0000FA8B, 0x000061F2}, {0x0000FA8C, 0x00006234},
-{0x0000FA8D, 0x000063C4}, {0x0000FA8E, 0x0000641C}, {0x0000FA8F, 0x00006452}, {0x0000FA90, 0x00006556},
-{0x0000FA91, 0x00006674}, {0x0000FA92, 0x00006717}, {0x0000FA93, 0x0000671B}, {0x0000FA94, 0x00006756},
-{0x0000FA95, 0x00006B79}, {0x0000FA96, 0x00006BBA}, {0x0000FA97, 0x00006D41}, {0x0000FA98, 0x00006EDB},
-{0x0000FA99, 0x00006ECB}, {0x0000FA9A, 0x00006F22}, {0x0000FA9B, 0x0000701E}, {0x0000FA9C, 0x0000716E},
-{0x0000FA9D, 0x000077A7}, {0x0000FA9E, 0x00007235}, {0x0000FA9F, 0x000072AF}, {0x0000FAA0, 0x0000732A},
-{0x0000FAA1, 0x00007471}, {0x0000FAA2, 0x00007506}, {0x0000FAA3, 0x0000753B}, {0x0000FAA4, 0x0000761D},
-{0x0000FAA5, 0x0000761F}, {0x0000FAA6, 0x000076CA}, {0x0000FAA7, 0x000076DB}, {0x0000FAA8, 0x000076F4},
-{0x0000FAA9, 0x0000774A}, {0x0000FAAA, 0x00007740}, {0x0000FAAB, 0x000078CC}, {0x0000FAAC, 0x00007AB1},
-{0x0000FAAD, 0x00007BC0}, {0x0000FAAE, 0x00007C7B}, {0x0000FAAF, 0x00007D5B}, {0x0000FAB0, 0x00007DF4},
-{0x0000FAB1, 0x00007F3E}, {0x0000FAB2, 0x00008005}, {0x0000FAB3, 0x00008352}, {0x0000FAB4, 0x000083EF},
-{0x0000FAB5, 0x00008779}, {0x0000FAB6, 0x00008941}, {0x0000FAB7, 0x00008986}, {0x0000FAB8, 0x00008996},
-{0x0000FAB9, 0x00008ABF}, {0x0000FABA, 0x00008AF8}, {0x0000FABB, 0x00008ACB}, {0x0000FABC, 0x00008B01},
-{0x0000FABD, 0x00008AFE}, {0x0000FABE, 0x00008AED}, {0x0000FABF, 0x00008B39}, {0x0000FAC0, 0x00008B8A},
-{0x0000FAC1, 0x00008D08}, {0x0000FAC2, 0x00008F38}, {0x0000FAC3, 0x00009072}, {0x0000FAC4, 0x00009199},
-{0x0000FAC5, 0x00009276}, {0x0000FAC6, 0x0000967C}, {0x0000FAC7, 0x000096E3}, {0x0000FAC8, 0x00009756},
-{0x0000FAC9, 0x000097DB}, {0x0000FACA, 0x000097FF}, {0x0000FACB, 0x0000980B}, {0x0000FACC, 0x0000983B},
-{0x0000FACD, 0x00009B12}, {0x0000FACE, 0x00009F9C}, {0x0000FACF, 0x0002284A}, {0x0000FAD0, 0x00022844},
-{0x0000FAD1, 0x000233D5}, {0x0000FAD2, 0x00003B9D}, {0x0000FAD3, 0x00004018}, {0x0000FAD4, 0x00004039},
-{0x0000FAD5, 0x00025249}, {0x0000FAD6, 0x00025CD0}, {0x0000FAD7, 0x00027ED3}, {0x0000FAD8, 0x00009F43},
-{0x0000FAD9, 0x00009F8E}, {0x0000FB1D, 0x000005D9}, {0x0000FB1D, 0x000005B4}, {0x0000FB1F, 0x000005F2},
-{0x0000FB1F, 0x000005B7}, {0x0000FB2A, 0x000005E9}, {0x0000FB2A, 0x000005C1}, {0x0000FB2B, 0x000005E9},
-{0x0000FB2B, 0x000005C2}, {0x0000FB2C, 0x000005E9}, {0x0000FB2C, 0x000005BC}, {0x0000FB2C, 0x000005C1},
-{0x0000FB2D, 0x000005E9}, {0x0000FB2D, 0x000005BC}, {0x0000FB2D, 0x000005C2}, {0x0000FB2E, 0x000005D0},
-{0x0000FB2E, 0x000005B7}, {0x0000FB2F, 0x000005D0}, {0x0000FB2F, 0x000005B8}, {0x0000FB30, 0x000005D0},
-{0x0000FB30, 0x000005BC}, {0x0000FB31, 0x000005D1}, {0x0000FB31, 0x000005BC}, {0x0000FB32, 0x000005D2},
-{0x0000FB32, 0x000005BC}, {0x0000FB33, 0x000005D3}, {0x0000FB33, 0x000005BC}, {0x0000FB34, 0x000005D4},
-{0x0000FB34, 0x000005BC}, {0x0000FB35, 0x000005D5}, {0x0000FB35, 0x000005BC}, {0x0000FB36, 0x000005D6},
-{0x0000FB36, 0x000005BC}, {0x0000FB38, 0x000005D8}, {0x0000FB38, 0x000005BC}, {0x0000FB39, 0x000005D9},
-{0x0000FB39, 0x000005BC}, {0x0000FB3A, 0x000005DA}, {0x0000FB3A, 0x000005BC}, {0x0000FB3B, 0x000005DB},
-{0x0000FB3B, 0x000005BC}, {0x0000FB3C, 0x000005DC}, {0x0000FB3C, 0x000005BC}, {0x0000FB3E, 0x000005DE},
-{0x0000FB3E, 0x000005BC}, {0x0000FB40, 0x000005E0}, {0x0000FB40, 0x000005BC}, {0x0000FB41, 0x000005E1},
-{0x0000FB41, 0x000005BC}, {0x0000FB43, 0x000005E3}, {0x0000FB43, 0x000005BC}, {0x0000FB44, 0x000005E4},
-{0x0000FB44, 0x000005BC}, {0x0000FB46, 0x000005E6}, {0x0000FB46, 0x000005BC}, {0x0000FB47, 0x000005E7},
-{0x0000FB47, 0x000005BC}, {0x0000FB48, 0x000005E8}, {0x0000FB48, 0x000005BC}, {0x0000FB49, 0x000005E9},
-{0x0000FB49, 0x000005BC}, {0x0000FB4A, 0x000005EA}, {0x0000FB4A, 0x000005BC}, {0x0000FB4B, 0x000005D5},
-{0x0000FB4B, 0x000005B9}, {0x0000FB4C, 0x000005D1}, {0x0000FB4C, 0x000005BF}, {0x0000FB4D, 0x000005DB},
-{0x0000FB4D, 0x000005BF}, {0x0000FB4E, 0x000005E4}, {0x0000FB4E, 0x000005BF}, {0x0001109A, 0x00011099},
-{0x0001109A, 0x000110BA}, {0x0001109C, 0x0001109B}, {0x0001109C, 0x000110BA}, {0x000110AB, 0x000110A5},
-{0x000110AB, 0x000110BA}, {0x0001112E, 0x00011131}, {0x0001112E, 0x00011127}, {0x0001112F, 0x00011132},
-{0x0001112F, 0x00011127}, {0x0001134B, 0x00011347}, {0x0001134B, 0x0001133E}, {0x0001134C, 0x00011347},
-{0x0001134C, 0x00011357}, {0x000114BB, 0x000114B9}, {0x000114BB, 0x000114BA}, {0x000114BC, 0x000114B9},
-{0x000114BC, 0x000114B0}, {0x000114BE, 0x000114B9}, {0x000114BE, 0x000114BD}, {0x000115BA, 0x000115B8},
-{0x000115BA, 0x000115AF}, {0x000115BB, 0x000115B9}, {0x000115BB, 0x000115AF}, {0x0001D15E, 0x0001D157},
-{0x0001D15E, 0x0001D165}, {0x0001D15F, 0x0001D158}, {0x0001D15F, 0x0001D165}, {0x0001D160, 0x0001D158},
-{0x0001D160, 0x0001D165}, {0x0001D160, 0x0001D16E}, {0x0001D161, 0x0001D158}, {0x0001D161, 0x0001D165},
-{0x0001D161, 0x0001D16F}, {0x0001D162, 0x0001D158}, {0x0001D162, 0x0001D165}, {0x0001D162, 0x0001D170},
-{0x0001D163, 0x0001D158}, {0x0001D163, 0x0001D165}, {0x0001D163, 0x0001D171}, {0x0001D164, 0x0001D158},
-{0x0001D164, 0x0001D165}, {0x0001D164, 0x0001D172}, {0x0001D1BB, 0x0001D1B9}, {0x0001D1BB, 0x0001D165},
-{0x0001D1BC, 0x0001D1BA}, {0x0001D1BC, 0x0001D165}, {0x0001D1BD, 0x0001D1B9}, {0x0001D1BD, 0x0001D165},
-{0x0001D1BD, 0x0001D16E}, {0x0001D1BE, 0x0001D1BA}, {0x0001D1BE, 0x0001D165}, {0x0001D1BE, 0x0001D16E},
-{0x0001D1BF, 0x0001D1B9}, {0x0001D1BF, 0x0001D165}, {0x0001D1BF, 0x0001D16F}, {0x0001D1C0, 0x0001D1BA},
-{0x0001D1C0, 0x0001D165}, {0x0001D1C0, 0x0001D16F}, {0x0002F800, 0x00004E3D}, {0x0002F801, 0x00004E38},
-{0x0002F802, 0x00004E41}, {0x0002F803, 0x00020122}, {0x0002F804, 0x00004F60}, {0x0002F805, 0x00004FAE},
-{0x0002F806, 0x00004FBB}, {0x0002F807, 0x00005002}, {0x0002F808, 0x0000507A}, {0x0002F809, 0x00005099},
-{0x0002F80A, 0x000050E7}, {0x0002F80B, 0x000050CF}, {0x0002F80C, 0x0000349E}, {0x0002F80D, 0x0002063A},
-{0x0002F80E, 0x0000514D}, {0x0002F80F, 0x00005154}, {0x0002F810, 0x00005164}, {0x0002F811, 0x00005177},
-{0x0002F812, 0x0002051C}, {0x0002F813, 0x000034B9}, {0x0002F814, 0x00005167}, {0x0002F815, 0x0000518D},
-{0x0002F816, 0x0002054B}, {0x0002F817, 0x00005197}, {0x0002F818, 0x000051A4}, {0x0002F819, 0x00004ECC},
-{0x0002F81A, 0x000051AC}, {0x0002F81B, 0x000051B5}, {0x0002F81C, 0x000291DF}, {0x0002F81D, 0x000051F5},
-{0x0002F81E, 0x00005203}, {0x0002F81F, 0x000034DF}, {0x0002F820, 0x0000523B}, {0x0002F821, 0x00005246},
-{0x0002F822, 0x00005272}, {0x0002F823, 0x00005277}, {0x0002F824, 0x00003515}, {0x0002F825, 0x000052C7},
-{0x0002F826, 0x000052C9}, {0x0002F827, 0x000052E4}, {0x0002F828, 0x000052FA}, {0x0002F829, 0x00005305},
-{0x0002F82A, 0x00005306}, {0x0002F82B, 0x00005317}, {0x0002F82C, 0x00005349}, {0x0002F82D, 0x00005351},
-{0x0002F82E, 0x0000535A}, {0x0002F82F, 0x00005373}, {0x0002F830, 0x0000537D}, {0x0002F831, 0x0000537F},
-{0x0002F832, 0x0000537F}, {0x0002F833, 0x0000537F}, {0x0002F834, 0x00020A2C}, {0x0002F835, 0x00007070},
-{0x0002F836, 0x000053CA}, {0x0002F837, 0x000053DF}, {0x0002F838, 0x00020B63}, {0x0002F839, 0x000053EB},
-{0x0002F83A, 0x000053F1}, {0x0002F83B, 0x00005406}, {0x0002F83C, 0x0000549E}, {0x0002F83D, 0x00005438},
-{0x0002F83E, 0x00005448}, {0x0002F83F, 0x00005468}, {0x0002F840, 0x000054A2}, {0x0002F841, 0x000054F6},
-{0x0002F842, 0x00005510}, {0x0002F843, 0x00005553}, {0x0002F844, 0x00005563}, {0x0002F845, 0x00005584},
-{0x0002F846, 0x00005584}, {0x0002F847, 0x00005599}, {0x0002F848, 0x000055AB}, {0x0002F849, 0x000055B3},
-{0x0002F84A, 0x000055C2}, {0x0002F84B, 0x00005716}, {0x0002F84C, 0x00005606}, {0x0002F84D, 0x00005717},
-{0x0002F84E, 0x00005651}, {0x0002F84F, 0x00005674}, {0x0002F850, 0x00005207}, {0x0002F851, 0x000058EE},
-{0x0002F852, 0x000057CE}, {0x0002F853, 0x000057F4}, {0x0002F854, 0x0000580D}, {0x0002F855, 0x0000578B},
-{0x0002F856, 0x00005832}, {0x0002F857, 0x00005831}, {0x0002F858, 0x000058AC}, {0x0002F859, 0x000214E4},
-{0x0002F85A, 0x000058F2}, {0x0002F85B, 0x000058F7}, {0x0002F85C, 0x00005906}, {0x0002F85D, 0x0000591A},
-{0x0002F85E, 0x00005922}, {0x0002F85F, 0x00005962}, {0x0002F860, 0x000216A8}, {0x0002F861, 0x000216EA},
-{0x0002F862, 0x000059EC}, {0x0002F863, 0x00005A1B}, {0x0002F864, 0x00005A27}, {0x0002F865, 0x000059D8},
-{0x0002F866, 0x00005A66}, {0x0002F867, 0x000036EE}, {0x0002F868, 0x000036FC}, {0x0002F869, 0x00005B08},
-{0x0002F86A, 0x00005B3E}, {0x0002F86B, 0x00005B3E}, {0x0002F86C, 0x000219C8}, {0x0002F86D, 0x00005BC3},
-{0x0002F86E, 0x00005BD8}, {0x0002F86F, 0x00005BE7}, {0x0002F870, 0x00005BF3}, {0x0002F871, 0x00021B18},
-{0x0002F872, 0x00005BFF}, {0x0002F873, 0x00005C06}, {0x0002F874, 0x00005F53}, {0x0002F875, 0x00005C22},
-{0x0002F876, 0x00003781}, {0x0002F877, 0x00005C60}, {0x0002F878, 0x00005C6E}, {0x0002F879, 0x00005CC0},
-{0x0002F87A, 0x00005C8D}, {0x0002F87B, 0x00021DE4}, {0x0002F87C, 0x00005D43}, {0x0002F87D, 0x00021DE6},
-{0x0002F87E, 0x00005D6E}, {0x0002F87F, 0x00005D6B}, {0x0002F880, 0x00005D7C}, {0x0002F881, 0x00005DE1},
-{0x0002F882, 0x00005DE2}, {0x0002F883, 0x0000382F}, {0x0002F884, 0x00005DFD}, {0x0002F885, 0x00005E28},
-{0x0002F886, 0x00005E3D}, {0x0002F887, 0x00005E69}, {0x0002F888, 0x00003862}, {0x0002F889, 0x00022183},
-{0x0002F88A, 0x0000387C}, {0x0002F88B, 0x00005EB0}, {0x0002F88C, 0x00005EB3}, {0x0002F88D, 0x00005EB6},
-{0x0002F88E, 0x00005ECA}, {0x0002F88F, 0x0002A392}, {0x0002F890, 0x00005EFE}, {0x0002F891, 0x00022331},
-{0x0002F892, 0x00022331}, {0x0002F893, 0x00008201}, {0x0002F894, 0x00005F22}, {0x0002F895, 0x00005F22},
-{0x0002F896, 0x000038C7}, {0x0002F897, 0x000232B8}, {0x0002F898, 0x000261DA}, {0x0002F899, 0x00005F62},
-{0x0002F89A, 0x00005F6B}, {0x0002F89B, 0x000038E3}, {0x0002F89C, 0x00005F9A}, {0x0002F89D, 0x00005FCD},
-{0x0002F89E, 0x00005FD7}, {0x0002F89F, 0x00005FF9}, {0x0002F8A0, 0x00006081}, {0x0002F8A1, 0x0000393A},
-{0x0002F8A2, 0x0000391C}, {0x0002F8A3, 0x00006094}, {0x0002F8A4, 0x000226D4}, {0x0002F8A5, 0x000060C7},
-{0x0002F8A6, 0x00006148}, {0x0002F8A7, 0x0000614C}, {0x0002F8A8, 0x0000614E}, {0x0002F8A9, 0x0000614C},
-{0x0002F8AA, 0x0000617A}, {0x0002F8AB, 0x0000618E}, {0x0002F8AC, 0x000061B2}, {0x0002F8AD, 0x000061A4},
-{0x0002F8AE, 0x000061AF}, {0x0002F8AF, 0x000061DE}, {0x0002F8B0, 0x000061F2}, {0x0002F8B1, 0x000061F6},
-{0x0002F8B2, 0x00006210}, {0x0002F8B3, 0x0000621B}, {0x0002F8B4, 0x0000625D}, {0x0002F8B5, 0x000062B1},
-{0x0002F8B6, 0x000062D4}, {0x0002F8B7, 0x00006350}, {0x0002F8B8, 0x00022B0C}, {0x0002F8B9, 0x0000633D},
-{0x0002F8BA, 0x000062FC}, {0x0002F8BB, 0x00006368}, {0x0002F8BC, 0x00006383}, {0x0002F8BD, 0x000063E4},
-{0x0002F8BE, 0x00022BF1}, {0x0002F8BF, 0x00006422}, {0x0002F8C0, 0x000063C5}, {0x0002F8C1, 0x000063A9},
-{0x0002F8C2, 0x00003A2E}, {0x0002F8C3, 0x00006469}, {0x0002F8C4, 0x0000647E}, {0x0002F8C5, 0x0000649D},
-{0x0002F8C6, 0x00006477}, {0x0002F8C7, 0x00003A6C}, {0x0002F8C8, 0x0000654F}, {0x0002F8C9, 0x0000656C},
-{0x0002F8CA, 0x0002300A}, {0x0002F8CB, 0x000065E3}, {0x0002F8CC, 0x000066F8}, {0x0002F8CD, 0x00006649},
-{0x0002F8CE, 0x00003B19}, {0x0002F8CF, 0x00006691}, {0x0002F8D0, 0x00003B08}, {0x0002F8D1, 0x00003AE4},
-{0x0002F8D2, 0x00005192}, {0x0002F8D3, 0x00005195}, {0x0002F8D4, 0x00006700}, {0x0002F8D5, 0x0000669C},
-{0x0002F8D6, 0x000080AD}, {0x0002F8D7, 0x000043D9}, {0x0002F8D8, 0x00006717}, {0x0002F8D9, 0x0000671B},
-{0x0002F8DA, 0x00006721}, {0x0002F8DB, 0x0000675E}, {0x0002F8DC, 0x00006753}, {0x0002F8DD, 0x000233C3},
-{0x0002F8DE, 0x00003B49}, {0x0002F8DF, 0x000067FA}, {0x0002F8E0, 0x00006785}, {0x0002F8E1, 0x00006852},
-{0x0002F8E2, 0x00006885}, {0x0002F8E3, 0x0002346D}, {0x0002F8E4, 0x0000688E}, {0x0002F8E5, 0x0000681F},
-{0x0002F8E6, 0x00006914}, {0x0002F8E7, 0x00003B9D}, {0x0002F8E8, 0x00006942}, {0x0002F8E9, 0x000069A3},
-{0x0002F8EA, 0x000069EA}, {0x0002F8EB, 0x00006AA8}, {0x0002F8EC, 0x000236A3}, {0x0002F8ED, 0x00006ADB},
-{0x0002F8EE, 0x00003C18}, {0x0002F8EF, 0x00006B21}, {0x0002F8F0, 0x000238A7}, {0x0002F8F1, 0x00006B54},
-{0x0002F8F2, 0x00003C4E}, {0x0002F8F3, 0x00006B72}, {0x0002F8F4, 0x00006B9F}, {0x0002F8F5, 0x00006BBA},
-{0x0002F8F6, 0x00006BBB}, {0x0002F8F7, 0x00023A8D}, {0x0002F8F8, 0x00021D0B}, {0x0002F8F9, 0x00023AFA},
-{0x0002F8FA, 0x00006C4E}, {0x0002F8FB, 0x00023CBC}, {0x0002F8FC, 0x00006CBF}, {0x0002F8FD, 0x00006CCD},
-{0x0002F8FE, 0x00006C67}, {0x0002F8FF, 0x00006D16}, {0x0002F900, 0x00006D3E}, {0x0002F901, 0x00006D77},
-{0x0002F902, 0x00006D41}, {0x0002F903, 0x00006D69}, {0x0002F904, 0x00006D78}, {0x0002F905, 0x00006D85},
-{0x0002F906, 0x00023D1E}, {0x0002F907, 0x00006D34}, {0x0002F908, 0x00006E2F}, {0x0002F909, 0x00006E6E},
-{0x0002F90A, 0x00003D33}, {0x0002F90B, 0x00006ECB}, {0x0002F90C, 0x00006EC7}, {0x0002F90D, 0x00023ED1},
-{0x0002F90E, 0x00006DF9}, {0x0002F90F, 0x00006F6E}, {0x0002F910, 0x00023F5E}, {0x0002F911, 0x00023F8E},
-{0x0002F912, 0x00006FC6}, {0x0002F913, 0x00007039}, {0x0002F914, 0x0000701E}, {0x0002F915, 0x0000701B},
-{0x0002F916, 0x00003D96}, {0x0002F917, 0x0000704A}, {0x0002F918, 0x0000707D}, {0x0002F919, 0x00007077},
-{0x0002F91A, 0x000070AD}, {0x0002F91B, 0x00020525}, {0x0002F91C, 0x00007145}, {0x0002F91D, 0x00024263},
-{0x0002F91E, 0x0000719C}, {0x0002F91F, 0x000243AB}, {0x0002F920, 0x00007228}, {0x0002F921, 0x00007235},
-{0x0002F922, 0x00007250}, {0x0002F923, 0x00024608}, {0x0002F924, 0x00007280}, {0x0002F925, 0x00007295},
-{0x0002F926, 0x00024735}, {0x0002F927, 0x00024814}, {0x0002F928, 0x0000737A}, {0x0002F929, 0x0000738B},
-{0x0002F92A, 0x00003EAC}, {0x0002F92B, 0x000073A5}, {0x0002F92C, 0x00003EB8}, {0x0002F92D, 0x00003EB8},
-{0x0002F92E, 0x00007447}, {0x0002F92F, 0x0000745C}, {0x0002F930, 0x00007471}, {0x0002F931, 0x00007485},
-{0x0002F932, 0x000074CA}, {0x0002F933, 0x00003F1B}, {0x0002F934, 0x00007524}, {0x0002F935, 0x00024C36},
-{0x0002F936, 0x0000753E}, {0x0002F937, 0x00024C92}, {0x0002F938, 0x00007570}, {0x0002F939, 0x0002219F},
-{0x0002F93A, 0x00007610}, {0x0002F93B, 0x00024FA1}, {0x0002F93C, 0x00024FB8}, {0x0002F93D, 0x00025044},
-{0x0002F93E, 0x00003FFC}, {0x0002F93F, 0x00004008}, {0x0002F940, 0x000076F4}, {0x0002F941, 0x000250F3},
-{0x0002F942, 0x000250F2}, {0x0002F943, 0x00025119}, {0x0002F944, 0x00025133}, {0x0002F945, 0x0000771E},
-{0x0002F946, 0x0000771F}, {0x0002F947, 0x0000771F}, {0x0002F948, 0x0000774A}, {0x0002F949, 0x00004039},
-{0x0002F94A, 0x0000778B}, {0x0002F94B, 0x00004046}, {0x0002F94C, 0x00004096}, {0x0002F94D, 0x0002541D},
-{0x0002F94E, 0x0000784E}, {0x0002F94F, 0x0000788C}, {0x0002F950, 0x000078CC}, {0x0002F951, 0x000040E3},
-{0x0002F952, 0x00025626}, {0x0002F953, 0x00007956}, {0x0002F954, 0x0002569A}, {0x0002F955, 0x000256C5},
-{0x0002F956, 0x0000798F}, {0x0002F957, 0x000079EB}, {0x0002F958, 0x0000412F}, {0x0002F959, 0x00007A40},
-{0x0002F95A, 0x00007A4A}, {0x0002F95B, 0x00007A4F}, {0x0002F95C, 0x0002597C}, {0x0002F95D, 0x00025AA7},
-{0x0002F95E, 0x00025AA7}, {0x0002F95F, 0x00007AEE}, {0x0002F960, 0x00004202}, {0x0002F961, 0x00025BAB},
-{0x0002F962, 0x00007BC6}, {0x0002F963, 0x00007BC9}, {0x0002F964, 0x00004227}, {0x0002F965, 0x00025C80},
-{0x0002F966, 0x00007CD2}, {0x0002F967, 0x000042A0}, {0x0002F968, 0x00007CE8}, {0x0002F969, 0x00007CE3},
-{0x0002F96A, 0x00007D00}, {0x0002F96B, 0x00025F86}, {0x0002F96C, 0x00007D63}, {0x0002F96D, 0x00004301},
-{0x0002F96E, 0x00007DC7}, {0x0002F96F, 0x00007E02}, {0x0002F970, 0x00007E45}, {0x0002F971, 0x00004334},
-{0x0002F972, 0x00026228}, {0x0002F973, 0x00026247}, {0x0002F974, 0x00004359}, {0x0002F975, 0x000262D9},
-{0x0002F976, 0x00007F7A}, {0x0002F977, 0x0002633E}, {0x0002F978, 0x00007F95}, {0x0002F979, 0x00007FFA},
-{0x0002F97A, 0x00008005}, {0x0002F97B, 0x000264DA}, {0x0002F97C, 0x00026523}, {0x0002F97D, 0x00008060},
-{0x0002F97E, 0x000265A8}, {0x0002F97F, 0x00008070}, {0x0002F980, 0x0002335F}, {0x0002F981, 0x000043D5},
-{0x0002F982, 0x000080B2}, {0x0002F983, 0x00008103}, {0x0002F984, 0x0000440B}, {0x0002F985, 0x0000813E},
-{0x0002F986, 0x00005AB5}, {0x0002F987, 0x000267A7}, {0x0002F988, 0x000267B5}, {0x0002F989, 0x00023393},
-{0x0002F98A, 0x0002339C}, {0x0002F98B, 0x00008201}, {0x0002F98C, 0x00008204}, {0x0002F98D, 0x00008F9E},
-{0x0002F98E, 0x0000446B}, {0x0002F98F, 0x00008291}, {0x0002F990, 0x0000828B}, {0x0002F991, 0x0000829D},
-{0x0002F992, 0x000052B3}, {0x0002F993, 0x000082B1}, {0x0002F994, 0x000082B3}, {0x0002F995, 0x000082BD},
-{0x0002F996, 0x000082E6}, {0x0002F997, 0x00026B3C}, {0x0002F998, 0x000082E5}, {0x0002F999, 0x0000831D},
-{0x0002F99A, 0x00008363}, {0x0002F99B, 0x000083AD}, {0x0002F99C, 0x00008323}, {0x0002F99D, 0x000083BD},
-{0x0002F99E, 0x000083E7}, {0x0002F99F, 0x00008457}, {0x0002F9A0, 0x00008353}, {0x0002F9A1, 0x000083CA},
-{0x0002F9A2, 0x000083CC}, {0x0002F9A3, 0x000083DC}, {0x0002F9A4, 0x00026C36}, {0x0002F9A5, 0x00026D6B},
-{0x0002F9A6, 0x00026CD5}, {0x0002F9A7, 0x0000452B}, {0x0002F9A8, 0x000084F1}, {0x0002F9A9, 0x000084F3},
-{0x0002F9AA, 0x00008516}, {0x0002F9AB, 0x000273CA}, {0x0002F9AC, 0x00008564}, {0x0002F9AD, 0x00026F2C},
-{0x0002F9AE, 0x0000455D}, {0x0002F9AF, 0x00004561}, {0x0002F9B0, 0x00026FB1}, {0x0002F9B1, 0x000270D2},
-{0x0002F9B2, 0x0000456B}, {0x0002F9B3, 0x00008650}, {0x0002F9B4, 0x0000865C}, {0x0002F9B5, 0x00008667},
-{0x0002F9B6, 0x00008669}, {0x0002F9B7, 0x000086A9}, {0x0002F9B8, 0x00008688}, {0x0002F9B9, 0x0000870E},
-{0x0002F9BA, 0x000086E2}, {0x0002F9BB, 0x00008779}, {0x0002F9BC, 0x00008728}, {0x0002F9BD, 0x0000876B},
-{0x0002F9BE, 0x00008786}, {0x0002F9BF, 0x000045D7}, {0x0002F9C0, 0x000087E1}, {0x0002F9C1, 0x00008801},
-{0x0002F9C2, 0x000045F9}, {0x0002F9C3, 0x00008860}, {0x0002F9C4, 0x00008863}, {0x0002F9C5, 0x00027667},
-{0x0002F9C6, 0x000088D7}, {0x0002F9C7, 0x000088DE}, {0x0002F9C8, 0x00004635}, {0x0002F9C9, 0x000088FA},
-{0x0002F9CA, 0x000034BB}, {0x0002F9CB, 0x000278AE}, {0x0002F9CC, 0x00027966}, {0x0002F9CD, 0x000046BE},
-{0x0002F9CE, 0x000046C7}, {0x0002F9CF, 0x00008AA0}, {0x0002F9D0, 0x00008AED}, {0x0002F9D1, 0x00008B8A},
-{0x0002F9D2, 0x00008C55}, {0x0002F9D3, 0x00027CA8}, {0x0002F9D4, 0x00008CAB}, {0x0002F9D5, 0x00008CC1},
-{0x0002F9D6, 0x00008D1B}, {0x0002F9D7, 0x00008D77}, {0x0002F9D8, 0x00027F2F}, {0x0002F9D9, 0x00020804},
-{0x0002F9DA, 0x00008DCB}, {0x0002F9DB, 0x00008DBC}, {0x0002F9DC, 0x00008DF0}, {0x0002F9DD, 0x000208DE},
-{0x0002F9DE, 0x00008ED4}, {0x0002F9DF, 0x00008F38}, {0x0002F9E0, 0x000285D2}, {0x0002F9E1, 0x000285ED},
-{0x0002F9E2, 0x00009094}, {0x0002F9E3, 0x000090F1}, {0x0002F9E4, 0x00009111}, {0x0002F9E5, 0x0002872E},
-{0x0002F9E6, 0x0000911B}, {0x0002F9E7, 0x00009238}, {0x0002F9E8, 0x000092D7}, {0x0002F9E9, 0x000092D8},
-{0x0002F9EA, 0x0000927C}, {0x0002F9EB, 0x000093F9}, {0x0002F9EC, 0x00009415}, {0x0002F9ED, 0x00028BFA},
-{0x0002F9EE, 0x0000958B}, {0x0002F9EF, 0x00004995}, {0x0002F9F0, 0x000095B7}, {0x0002F9F1, 0x00028D77},
-{0x0002F9F2, 0x000049E6}, {0x0002F9F3, 0x000096C3}, {0x0002F9F4, 0x00005DB2}, {0x0002F9F5, 0x00009723},
-{0x0002F9F6, 0x00029145}, {0x0002F9F7, 0x0002921A}, {0x0002F9F8, 0x00004A6E}, {0x0002F9F9, 0x00004A76},
-{0x0002F9FA, 0x000097E0}, {0x0002F9FB, 0x0002940A}, {0x0002F9FC, 0x00004AB2}, {0x0002F9FD, 0x00029496},
-{0x0002F9FE, 0x0000980B}, {0x0002F9FF, 0x0000980B}, {0x0002FA00, 0x00009829}, {0x0002FA01, 0x000295B6},
-{0x0002FA02, 0x000098E2}, {0x0002FA03, 0x00004B33}, {0x0002FA04, 0x00009929}, {0x0002FA05, 0x000099A7},
-{0x0002FA06, 0x000099C2}, {0x0002FA07, 0x000099FE}, {0x0002FA08, 0x00004BCE}, {0x0002FA09, 0x00029B30},
-{0x0002FA0A, 0x00009B12}, {0x0002FA0B, 0x00009C40}, {0x0002FA0C, 0x00009CFD}, {0x0002FA0D, 0x00004CCE},
-{0x0002FA0E, 0x00004CED}, {0x0002FA0F, 0x00009D67}, {0x0002FA10, 0x0002A0CE}, {0x0002FA11, 0x00004CF8},
-{0x0002FA12, 0x0002A105}, {0x0002FA13, 0x0002A20E}, {0x0002FA14, 0x0002A291}, {0x0002FA15, 0x00009EBB},
-{0x0002FA16, 0x00004D56}, {0x0002FA17, 0x00009EF9}, {0x0002FA18, 0x00009EFE}, {0x0002FA19, 0x00009F05},
-{0x0002FA1A, 0x00009F0F}, {0x0002FA1B, 0x00009F16}, {0x0002FA1D, 0x0002A600},
-};
diff --git a/unicode-data.h b/unicode-data.h
index 3cccf2068..e27fe1770 100644
--- a/unicode-data.h
+++ b/unicode-data.h
@@ -1,17 +1,20 @@
 #pragma once
 
 #include <cstdint>
-#include <map>
-#include <utility>
 #include <vector>
+#include <unordered_map>
+#include <unordered_set>
 
-extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_number;
-extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_letter;
-extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_separator;
-extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_whitespace;
-extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_accent_mark;
-extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_punctuation;
-extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_symbol;
-extern const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_control;
-extern const std::multimap<uint32_t, uint32_t>          unicode_map_nfd;
-extern const std::map<char32_t, char32_t>               unicode_map_lowercase;
+struct range_nfd {
+    uint32_t first;
+    uint32_t last;
+    uint32_t nfd;
+};
+
+static const uint32_t MAX_CODEPOINTS = 0x110000;
+
+extern const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags;
+extern const std::unordered_set<uint32_t> unicode_set_whitespace;
+extern const std::unordered_map<uint32_t, uint32_t> unicode_map_lowercase;
+extern const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase;
+extern const std::vector<range_nfd> unicode_ranges_nfd;
diff --git a/unicode.cpp b/unicode.cpp
index ca03c49d3..056a4c741 100644
--- a/unicode.cpp
+++ b/unicode.cpp
@@ -1,4 +1,4 @@
-#include "unicode.h"
+#include "unicode.h"
 #include "unicode-data.h"
 
 #include <cassert>
@@ -109,57 +109,49 @@ static uint32_t unicode_cpt_from_utf8(const std::string & utf8, size_t & offset)
 //    return result;
 //}
 
-static std::unordered_map<uint32_t, int> unicode_cpt_type_map() {
-    std::unordered_map<uint32_t, int> cpt_types;
-    for (auto p : unicode_ranges_number) {
-        for (auto i = p.first; i <= p.second; ++i) {
-            cpt_types[i] = CODEPOINT_TYPE_NUMBER;
+static std::vector<codepoint_flags> unicode_cpt_flags_array() {
+    std::vector<codepoint_flags> cpt_flags(MAX_CODEPOINTS, codepoint_flags::UNDEFINED);
+
+    assert (unicode_ranges_flags.front().first == 0);
+    assert (unicode_ranges_flags.back().first == MAX_CODEPOINTS);
+    for (size_t i = 1; i < unicode_ranges_flags.size(); ++i) {
+        const auto range_ini = unicode_ranges_flags[i-1];  // codepoint_ini, flags
+        const auto range_end = unicode_ranges_flags[i];    // codepoint_end, flags
+        for (uint32_t cpt = range_ini.first; cpt < range_end.first; ++cpt) {
+            cpt_flags[cpt] = range_ini.second;
         }
     }
-    for (auto p : unicode_ranges_letter) {
-        for (auto i = p.first; i <= p.second; ++i) {
-            cpt_types[i] = CODEPOINT_TYPE_LETTER;
-        }
+
+    for (auto cpt : unicode_set_whitespace) {
+        cpt_flags[cpt].is_whitespace = true;
     }
-    for (auto p : unicode_ranges_separator) {
-        for (auto i = p.first; i <= p.second; ++i) {
-            cpt_types[i] = CODEPOINT_TYPE_SEPARATOR;
-        }
+
+    for (auto p : unicode_map_lowercase) {
+        cpt_flags[p.second].is_lowercase = true;
     }
-    for (auto p : unicode_ranges_accent_mark) {
-        for (auto i = p.first; i <= p.second; ++i) {
-            cpt_types[i] = CODEPOINT_TYPE_ACCENT_MARK;
-        }
+
+    for (auto p : unicode_map_uppercase) {
+        cpt_flags[p.second].is_uppercase = true;
     }
-    for (auto p : unicode_ranges_punctuation) {
-        for (auto i = p.first; i <= p.second; ++i) {
-            cpt_types[i] = CODEPOINT_TYPE_PUNCTUATION;
-        }
+
+    for (auto &range : unicode_ranges_nfd) {  // start, last, nfd
+        cpt_flags[range.nfd].is_nfd = true;
     }
-    for  (auto p : unicode_ranges_symbol) {
-        for (auto i = p.first; i <= p.second; ++i) {
-            cpt_types[i] = CODEPOINT_TYPE_SYMBOL;
-        }
-    }
-    for (auto p : unicode_ranges_control) {
-        for (auto i = p.first; i <= p.second; ++i) {
-            cpt_types[i] = CODEPOINT_TYPE_CONTROL;
-        }
-    }
-    return cpt_types;
+
+    return cpt_flags;
 }
 
 static std::unordered_map<uint8_t, std::string> unicode_byte_to_utf8_map() {
     std::unordered_map<uint8_t, std::string> map;
-    for (int ch = u'!'; ch <= u'~'; ++ch) {
+    for (int ch = 0x21; ch <= 0x7E; ++ch) {  // u'!' to u'~'
         assert(0 <= ch && ch < 256);
         map[ch] = unicode_cpt_to_utf8(ch);
     }
-    for (int ch = u'¡'; ch <= u'¬'; ++ch) {
+    for (int ch = 0xA1; ch <= 0xAC; ++ch) {  // u'¡' to u'¬'
         assert(0 <= ch && ch < 256);
         map[ch] = unicode_cpt_to_utf8(ch);
     }
-    for (int ch = u'®'; ch <= u'ÿ'; ++ch) {
+    for (int ch = 0xAE; ch <= 0xFF; ++ch) {  // u'®' to u'ÿ'
         assert(0 <= ch && ch < 256);
         map[ch] = unicode_cpt_to_utf8(ch);
     }
@@ -175,15 +167,15 @@ static std::unordered_map<uint8_t, std::string> unicode_byte_to_utf8_map() {
 
 static std::unordered_map<std::string, uint8_t> unicode_utf8_to_byte_map() {
     std::unordered_map<std::string, uint8_t> map;
-    for (int ch = u'!'; ch <= u'~'; ++ch) {
+    for (int ch = 0x21; ch <= 0x7E; ++ch) {  // u'!' to u'~'
         assert(0 <= ch && ch < 256);
         map[unicode_cpt_to_utf8(ch)] = ch;
     }
-    for (int ch = u'¡'; ch <= u'¬'; ++ch) {
+    for (int ch = 0xA1; ch <= 0xAC; ++ch) {  // u'¡' to u'¬'
         assert(0 <= ch && ch < 256);
         map[unicode_cpt_to_utf8(ch)] = ch;
     }
-    for (int ch = u'®'; ch <= u'ÿ'; ++ch) {
+    for (int ch = 0xAE; ch <= 0xFF; ++ch) {  // u'®' to u'ÿ'
         assert(0 <= ch && ch < 256);
         map[unicode_cpt_to_utf8(ch)] = ch;
     }
@@ -238,8 +230,9 @@ static std::vector<size_t> unicode_regex_split_custom_gpt2(const std::string & t
             return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : 0;
         };
 
-        auto _get_cpt_type = [&] (const size_t pos) -> int {
-            return (offset_ini <= pos && pos < offset_end) ? unicode_cpt_type(cpts[pos]) : CODEPOINT_TYPE_UNIDENTIFIED;
+        auto _get_flags = [&] (const size_t pos) -> codepoint_flags {
+            static const codepoint_flags undef(codepoint_flags::UNDEFINED);
+            return (offset_ini <= pos && pos < offset_end) ? unicode_cpt_flags(cpts[pos]) : undef;
         };
 
         size_t _prev_end = offset_ini;
@@ -261,7 +254,7 @@ static std::vector<size_t> unicode_regex_split_custom_gpt2(const std::string & t
 
         for (size_t pos = offset_ini; pos < offset_end; /*pos++*/ ) {
             const char32_t cpt = _get_cpt(pos);
-            const int cpt_type = _get_cpt_type(pos);
+            const auto flags = _get_flags(pos);
 
             // regex: 's|'t|'re|'ve|'m|'ll|'d
             if (cpt == '\'' && pos+1 < offset_end) {
@@ -281,39 +274,37 @@ static std::vector<size_t> unicode_regex_split_custom_gpt2(const std::string & t
                 }
             }
 
-            char32_t cpt2 = (cpt == ' ' ? _get_cpt(pos+1) : cpt);
-            int cpt2_type = (cpt == ' ' ? _get_cpt_type(pos+1) : cpt_type);
+            auto flags2 = (cpt == ' ' ? _get_flags(pos+1) : flags);
             // regex: <space>?\p{L}+
-            if (cpt2_type == CODEPOINT_TYPE_LETTER) {
+            if (flags2.is_letter) {
                 pos += (cpt == ' ');
-                while (cpt2_type == CODEPOINT_TYPE_LETTER) {
-                    cpt2_type = _get_cpt_type(++pos);
+                while (flags2.is_letter) {
+                    flags2 = _get_flags(++pos);
                 }
                 _add_token(pos);
                 continue;
             }
             // regex: <space>?\p{N}+
-            if (cpt2_type == CODEPOINT_TYPE_NUMBER) {
+            if (flags2.is_number) {
                 pos += (cpt == ' ');
-                while (cpt2_type == CODEPOINT_TYPE_NUMBER) {
-                    cpt2_type = _get_cpt_type(++pos);
+                while (flags2.is_number) {
+                    flags2 = _get_flags(++pos);
                 }
                 _add_token(pos);
                 continue;
             }
             // regex: <space>?[^\s\p{L}\p{N}]+
-            if (!unicode_cpt_is_whitespace(cpt2) && cpt2_type != CODEPOINT_TYPE_LETTER && cpt2_type != CODEPOINT_TYPE_NUMBER && cpt2_type != CODEPOINT_TYPE_UNIDENTIFIED) {
+            if (!(flags2.is_whitespace || flags2.is_letter || flags2.is_number || flags2.is_undefined)) {
                 pos += (cpt == ' ');
-                while (!unicode_cpt_is_whitespace(cpt2) && cpt2_type != CODEPOINT_TYPE_LETTER && cpt2_type != CODEPOINT_TYPE_NUMBER && cpt2_type != CODEPOINT_TYPE_UNIDENTIFIED) {
-                    cpt2_type = _get_cpt_type(++pos);
-                    cpt2 = _get_cpt(pos);
+                while (!(flags2.is_whitespace || flags2.is_letter || flags2.is_number || flags2.is_undefined)) {
+                    flags2 = _get_flags(++pos);
                 }
                 _add_token(pos);
                 continue;
             }
 
             size_t num_whitespaces = 0;
-            while (unicode_cpt_is_whitespace(_get_cpt(pos+num_whitespaces))) {
+            while (_get_flags(pos+num_whitespaces).is_whitespace) {
                 num_whitespaces++;
             }
 
@@ -357,8 +348,9 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
             return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : 0;
         };
 
-        auto _get_cpt_type = [&] (const size_t pos) -> int {
-            return (offset_ini <= pos && pos < offset_end) ? unicode_cpt_type(cpts[pos]) : CODEPOINT_TYPE_UNIDENTIFIED;
+        auto _get_flags = [&] (const size_t pos) -> codepoint_flags {
+            static const codepoint_flags undef(codepoint_flags::UNDEFINED);
+            return (offset_ini <= pos && pos < offset_end) ? unicode_cpt_flags(cpts[pos]) : undef;
         };
 
         size_t _prev_end = offset_ini;
@@ -380,7 +372,7 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
 
         for (size_t pos = offset_ini; pos < offset_end; /*pos++*/ ) {
             const char32_t cpt = _get_cpt(pos);
-            const int cpt_type = _get_cpt_type(pos);
+            const auto flags = _get_flags(pos);
 
             // regex: (?i:'s|'t|'re|'ve|'m|'ll|'d) // case insensitive
             if (cpt == '\'' && pos+1 < offset_end) {
@@ -401,10 +393,10 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
             }
 
             // regex: [^\r\n\p{L}\p{N}]?\p{L}+  //####FIXME: the first \p{L} is correct?
-            if (cpt != '\r' && cpt != '\n' && /*cpt_type != CODEPOINT_TYPE_LETTER &&*/ cpt_type != CODEPOINT_TYPE_NUMBER) {
-                if (cpt_type == CODEPOINT_TYPE_LETTER || _get_cpt_type(pos+1) == CODEPOINT_TYPE_LETTER) {  // one or more letters
+            if (!(cpt == '\r' || cpt == '\n' || /*flags.is_letter |*/ flags.is_number)) {
+                if (flags.is_letter || _get_flags(pos+1).is_letter) {  // one or more letters
                     pos++;
-                    while (_get_cpt_type(pos) == CODEPOINT_TYPE_LETTER) {
+                    while (_get_flags(pos).is_letter) {
                         pos++;
                     }
                     _add_token(pos);
@@ -413,9 +405,9 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
             }
 
             // regex: \p{N}{1,3}
-            if (cpt_type == CODEPOINT_TYPE_NUMBER) {
+            if (flags.is_number) {
                 size_t ini = pos;
-                while (_get_cpt_type(pos) == CODEPOINT_TYPE_NUMBER) {
+                while (_get_flags(pos).is_number) {
                     if (++pos - ini >= 3 ) {
                         _add_token(pos);
                         ini = pos;
@@ -426,14 +418,13 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
             }
 
             // regex: <space>?[^\s\p{L}\p{N}]+[\r\n]*
-            char32_t cpt2 = (cpt == ' ' ? _get_cpt(pos+1) : cpt);
-            int cpt2_type = (cpt == ' ' ? _get_cpt_type(pos+1) : cpt_type);
-            if (!unicode_cpt_is_whitespace(cpt2) && cpt2_type != CODEPOINT_TYPE_LETTER && cpt2_type != CODEPOINT_TYPE_NUMBER && cpt2_type != CODEPOINT_TYPE_UNIDENTIFIED) {
+            auto flags2 = (cpt == ' ' ? _get_flags(pos+1) : flags);
+            if (!(flags2.is_whitespace || flags2.is_letter || flags2.is_number || flags2.is_undefined)) {
                 pos += (cpt == ' ');
-                while (!unicode_cpt_is_whitespace(cpt2) && cpt2_type != CODEPOINT_TYPE_LETTER && cpt2_type != CODEPOINT_TYPE_NUMBER && cpt2_type != CODEPOINT_TYPE_UNIDENTIFIED) {
-                    cpt2_type = _get_cpt_type(++pos);
-                    cpt2 = _get_cpt(pos);
+                while (!(flags2.is_whitespace || flags2.is_letter || flags2.is_number || flags2.is_undefined)) {
+                    flags2 = _get_flags(++pos);
                 }
+                char32_t cpt2 = _get_cpt(pos);
                 while (cpt2 == '\r' || cpt2 == '\n') {
                     cpt2 = _get_cpt(++pos);
                 }
@@ -443,7 +434,7 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
 
             size_t num_whitespaces = 0;
             size_t last_end_r_or_n = 0;
-            while (unicode_cpt_is_whitespace(_get_cpt(pos+num_whitespaces))) {
+            while (_get_flags(pos+num_whitespaces).is_whitespace) {
                 char32_t cpt2 = _get_cpt(pos+num_whitespaces);
                 if (cpt2 == '\r' || cpt2 == '\n') {
                     last_end_r_or_n = pos + num_whitespaces + 1;
@@ -589,15 +580,14 @@ std::string unicode_cpt_to_utf8(uint32_t cp) {
 }
 
 std::vector<uint32_t> unicode_cpts_normalize_nfd(const std::vector<uint32_t> & cpts) {
-    std::vector<uint32_t> result;
-    result.reserve(cpts.size());
+    auto comp = [] (const uint32_t cpt, const range_nfd & range) {
+        return cpt < range.first;
+    };
+    std::vector<uint32_t> result(cpts.size());
     for (size_t i = 0; i < cpts.size(); ++i) {
-        auto it = unicode_map_nfd.find(cpts[i]);
-        if (it == unicode_map_nfd.end()) {
-            result.push_back(cpts[i]);
-        } else {
-            result.push_back(it->second);
-        }
+        const uint32_t cpt = cpts[i];
+        auto it = std::upper_bound(unicode_ranges_nfd.cbegin(), unicode_ranges_nfd.cend(), cpt, comp) - 1;
+        result[i] = (it->first <= cpt && cpt <= it->last) ? it->nfd : cpt;
     }
     return result;
 }
@@ -611,31 +601,19 @@ std::vector<uint32_t> unicode_cpts_from_utf8(const std::string & utf8) {
     return result;
 }
 
-int unicode_cpt_type(uint32_t cp) {
-    static std::unordered_map<uint32_t, int> cpt_types = unicode_cpt_type_map();
-    const auto it = cpt_types.find(cp);
-    return it == cpt_types.end() ? CODEPOINT_TYPE_UNIDENTIFIED : it->second;
+codepoint_flags unicode_cpt_flags(const uint32_t cp) {
+    static const codepoint_flags undef(codepoint_flags::UNDEFINED);
+    static const auto cpt_flags = unicode_cpt_flags_array();
+    return cp < cpt_flags.size() ? cpt_flags[cp] : undef;
 }
 
-int unicode_cpt_type(const std::string & utf8) {
-    if (utf8.length() == 0) {
-        return CODEPOINT_TYPE_UNIDENTIFIED;
+codepoint_flags unicode_cpt_flags(const std::string & utf8) {
+    static const codepoint_flags undef(codepoint_flags::UNDEFINED);
+    if (utf8.empty()) {
+        return undef;  // undefined
     }
     size_t offset = 0;
-    return unicode_cpt_type(unicode_cpt_from_utf8(utf8, offset));
-}
-
-bool unicode_cpt_is_whitespace(uint32_t cp) {
-    static const std::unordered_set<uint32_t> is_whitespace = [] {
-        std::unordered_set<uint32_t> is_whitespace;
-        for (auto p : unicode_ranges_whitespace) {
-            for (auto i = p.first; i <= p.second; ++i) {
-                is_whitespace.insert(i);
-            }
-        }
-        return is_whitespace;
-    }();
-    return (bool)is_whitespace.count(cp);
+    return unicode_cpt_flags(unicode_cpt_from_utf8(utf8, offset));
 }
 
 std::string unicode_byte_to_utf8(uint8_t byte) {
@@ -656,21 +634,21 @@ char32_t unicode_tolower(char32_t cp) {
 std::vector<std::string> unicode_regex_split(const std::string & text, const std::vector<std::string> & regex_exprs) {
     // unicode categories
     static const std::map<std::string, int> k_ucat_enum = {
-        { "\\p{N}", CODEPOINT_TYPE_NUMBER },
-        { "\\p{L}", CODEPOINT_TYPE_LETTER },
-        { "\\p{P}", CODEPOINT_TYPE_PUNCTUATION },
+        { "\\p{N}", codepoint_flags::NUMBER },
+        { "\\p{L}", codepoint_flags::LETTER },
+        { "\\p{P}", codepoint_flags::PUNCTUATION },
     };
 
     static const std::map<int, int> k_ucat_cpt = {
-        { CODEPOINT_TYPE_NUMBER,        0xD1 },
-        { CODEPOINT_TYPE_LETTER,        0xD2 },
-        { CODEPOINT_TYPE_PUNCTUATION,   0xD3 },
+        { codepoint_flags::NUMBER,        0xD1 },
+        { codepoint_flags::LETTER,        0xD2 },
+        { codepoint_flags::PUNCTUATION,   0xD3 },
     };
 
     static const std::map<int, std::string> k_ucat_map = {
-        { CODEPOINT_TYPE_NUMBER,        "\x30-\x39" }, // 0-9
-        { CODEPOINT_TYPE_LETTER,        "\x41-\x5A\x61-\x7A" }, // A-Za-z
-        { CODEPOINT_TYPE_PUNCTUATION,   "\x21-\x23\x25-\x2A\x2C-\x2F\x3A-\x3B\x3F-\x40\\\x5B-\\\x5D\x5F\\\x7B\\\x7D" }, // !-#%-*,-/:-;?-@\[-\]_\{\}
+        { codepoint_flags::NUMBER,        "\x30-\x39" }, // 0-9
+        { codepoint_flags::LETTER,        "\x41-\x5A\x61-\x7A" }, // A-Za-z
+        { codepoint_flags::PUNCTUATION,   "\x21-\x23\x25-\x2A\x2C-\x2F\x3A-\x3B\x3F-\x40\\\x5B-\\\x5D\x5F\\\x7B\\\x7D" }, // !-#%-*,-/:-;?-@\[-\]_\{\}
     };
 
     // compute collapsed codepoints only if needed by at least one regex
@@ -701,10 +679,10 @@ std::vector<std::string> unicode_regex_split(const std::string & text, const std
                 continue;
             }
 
-            const int cpt_type = unicode_cpt_type(cpts[i]);
+            const int cpt_flag = unicode_cpt_flags(cpts[i]).category_flag();
 
-            if (k_ucat_cpt.find(cpt_type) != k_ucat_cpt.end()) {
-                text_collapsed[i] = k_ucat_cpt.at(cpt_type);
+            if (k_ucat_cpt.find(cpt_flag) != k_ucat_cpt.end()) {
+                text_collapsed[i] = k_ucat_cpt.at(cpt_flag);
             } else {
                 text_collapsed[i] = (char) 0xD0; // fallback
             }
diff --git a/unicode.h b/unicode.h
index d6a14d470..7513be4ad 100644
--- a/unicode.h
+++ b/unicode.h
@@ -4,24 +4,56 @@
 #include <string>
 #include <vector>
 
-#define CODEPOINT_TYPE_UNIDENTIFIED 0
-#define CODEPOINT_TYPE_NUMBER       1
-#define CODEPOINT_TYPE_LETTER       2
-#define CODEPOINT_TYPE_SEPARATOR    3
-#define CODEPOINT_TYPE_ACCENT_MARK  4
-#define CODEPOINT_TYPE_PUNCTUATION  5
-#define CODEPOINT_TYPE_SYMBOL       6
-#define CODEPOINT_TYPE_CONTROL      7
+struct codepoint_flags {
+    enum {
+        UNDEFINED       = 0x0001,
+        NUMBER          = 0x0002,  // regex: \p{N}
+        LETTER          = 0x0004,  // regex: \p{L}
+        SEPARATOR       = 0x0008,  // regex: \p{Z}
+        ACCENT_MARK     = 0x0010,  // regex: \p{M}
+        PUNCTUATION     = 0x0020,  // regex: \p{P}
+        SYMBOL          = 0x0040,  // regex: \p{S}
+        CONTROL         = 0x0080,  // regex: \p{C}
+        MASK_CATEGORIES = 0x00FF,
+    };
+
+    // codepoint type
+    uint16_t is_undefined   : 1;
+    uint16_t is_number      : 1;  // regex: \p{N}
+    uint16_t is_letter      : 1;  // regex: \p{L}
+    uint16_t is_separator   : 1;  // regex: \p{Z}
+    uint16_t is_accent_mark : 1;  // regex: \p{M}
+    uint16_t is_punctuation : 1;  // regex: \p{P}
+    uint16_t is_symbol      : 1;  // regex: \p{S}
+    uint16_t is_control     : 1;  // regex: \p{C}
+    // helper flags
+    uint16_t is_whitespace  : 1;  // regex: \s
+    uint16_t is_lowercase   : 1;
+    uint16_t is_uppercase   : 1;
+    uint16_t is_nfd         : 1;
+
+    // decode from uint16
+    inline codepoint_flags(const uint16_t flags=0) {
+        *reinterpret_cast<uint16_t*>(this) = flags;
+    }
+
+    inline uint16_t as_uint() const {
+        return *reinterpret_cast<const uint16_t*>(this);
+    }
+
+    inline uint16_t category_flag() const {
+        return this->as_uint() & MASK_CATEGORIES;
+    }
+};
+
 
 std::string unicode_cpt_to_utf8(uint32_t cp);
 std::vector<uint32_t> unicode_cpts_from_utf8(const std::string & utf8);
 
 std::vector<uint32_t> unicode_cpts_normalize_nfd(const std::vector<uint32_t> & cpts);
 
-int unicode_cpt_type(uint32_t cp);
-int unicode_cpt_type(const std::string & utf8);
-
-bool unicode_cpt_is_whitespace(uint32_t cp);
+codepoint_flags unicode_cpt_flags(const uint32_t cp);
+codepoint_flags unicode_cpt_flags(const std::string & utf8);
 
 std::string unicode_byte_to_utf8(uint8_t byte);
 uint8_t unicode_utf8_to_byte(const std::string & utf8);