diff --git a/.devops/main-intel.Dockerfile b/.devops/main-intel.Dockerfile
index 11937772d..b42b33077 100644
--- a/.devops/main-intel.Dockerfile
+++ b/.devops/main-intel.Dockerfile
@@ -14,7 +14,7 @@ RUN if [ "${LLAMA_SYCL_F16}" = "ON" ]; then \
         echo "LLAMA_SYCL_F16 is set" && \
         export OPT_SYCL_F16="-DLLAMA_SYCL_F16=ON"; \
     fi && \
-    cmake . -B build -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx ${OPT_SYCL_F16} && \
+    cmake -B build -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx ${OPT_SYCL_F16} && \
     cmake --build build --target main
 
 FROM intel/oneapi-basekit:$ONEAPI_VERSION as runtime
diff --git a/.devops/main-vulkan.Dockerfile b/.devops/main-vulkan.Dockerfile
index 6b1d2dff7..51016048f 100644
--- a/.devops/main-vulkan.Dockerfile
+++ b/.devops/main-vulkan.Dockerfile
@@ -14,7 +14,7 @@ RUN wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key
 # Build it
 WORKDIR /app
 COPY . .
-RUN cmake . -B build -DLLAMA_VULKAN=1 && \
+RUN cmake -B build -DLLAMA_VULKAN=1 && \
     cmake --build build --target main
 
 # Clean up
diff --git a/.devops/server-intel.Dockerfile b/.devops/server-intel.Dockerfile
index 4763c9f0a..17bb69f2f 100644
--- a/.devops/server-intel.Dockerfile
+++ b/.devops/server-intel.Dockerfile
@@ -14,7 +14,7 @@ RUN if [ "${LLAMA_SYCL_F16}" = "ON" ]; then \
         echo "LLAMA_SYCL_F16 is set" && \
         export OPT_SYCL_F16="-DLLAMA_SYCL_F16=ON"; \
     fi && \
-    cmake . -B build -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_CURL=ON ${OPT_SYCL_F16} && \
+    cmake -B build -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_CURL=ON ${OPT_SYCL_F16} && \
     cmake --build build --target server
 
 FROM intel/oneapi-basekit:$ONEAPI_VERSION as runtime
diff --git a/.devops/server-vulkan.Dockerfile b/.devops/server-vulkan.Dockerfile
index 51f90e12c..03b976895 100644
--- a/.devops/server-vulkan.Dockerfile
+++ b/.devops/server-vulkan.Dockerfile
@@ -18,7 +18,7 @@ RUN apt-get update && \
 # Build it
 WORKDIR /app
 COPY . .
-RUN cmake . -B build -DLLAMA_VULKAN=1 -DLLAMA_CURL=1 && \
+RUN cmake -B build -DLLAMA_VULKAN=1 -DLLAMA_CURL=1 && \
     cmake --build build --target server
 
 # Clean up
diff --git a/.github/workflows/bench.yml b/.github/workflows/bench.yml
index bb4a9fdc9..e91e1764b 100644
--- a/.github/workflows/bench.yml
+++ b/.github/workflows/bench.yml
@@ -96,7 +96,7 @@ jobs:
         id: cmake_build
         run: |
           set -eux
-          cmake . -B build \
+          cmake -B build \
               -DLLAMA_NATIVE=OFF \
               -DLLAMA_BUILD_SERVER=ON \
               -DLLAMA_CURL=ON \
diff --git a/.github/workflows/server.yml b/.github/workflows/server.yml
index 1d6286aa3..dcc57d40b 100644
--- a/.github/workflows/server.yml
+++ b/.github/workflows/server.yml
@@ -94,7 +94,7 @@ jobs:
       - name: Build
         id: cmake_build
         run: |
-          cmake . -B build \
+          cmake -B build \
               -DLLAMA_NATIVE=OFF \
               -DLLAMA_BUILD_SERVER=ON \
               -DLLAMA_CURL=ON \
@@ -141,7 +141,7 @@ jobs:
       - name: Build
         id: cmake_build
         run: |
-          cmake . -B build -DLLAMA_CURL=ON -DCURL_LIBRARY="$env:RUNNER_TEMP/libcurl/lib/libcurl.dll.a" -DCURL_INCLUDE_DIR="$env:RUNNER_TEMP/libcurl/include"
+          cmake -B build -DLLAMA_CURL=ON -DCURL_LIBRARY="$env:RUNNER_TEMP/libcurl/lib/libcurl.dll.a" -DCURL_INCLUDE_DIR="$env:RUNNER_TEMP/libcurl/include"
           cmake --build build -j ${env:NUMBER_OF_PROCESSORS} --target server
 
       - name: Python setup
diff --git a/README-sycl.md b/README-sycl.md
index 58081674f..1cc411270 100644
--- a/README-sycl.md
+++ b/README-sycl.md
@@ -228,10 +228,10 @@ source /opt/intel/oneapi/setvars.sh
 # Build LLAMA with MKL BLAS acceleration for intel GPU
 
 # Option 1: Use FP32 (recommended for better performance in most cases)
-cmake . -B build -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
+cmake -B build -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
 
 # Option 2: Use FP16
-cmake . -B build -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_SYCL_F16=ON
+cmake -B build -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_SYCL_F16=ON
 
 # build all binary
 cmake --build build -j -v
@@ -248,10 +248,10 @@ export CPLUS_INCLUDE_DIR=/path/to/oneMKL/include:$CPLUS_INCLUDE_DIR
 # Build LLAMA with Nvidia BLAS acceleration through SYCL
 
 # Option 1: Use FP32 (recommended for better performance in most cases)
-cmake . -B build -DLLAMA_SYCL=ON -DLLAMA_SYCL_TARGET=NVIDIA -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
+cmake -B build -DLLAMA_SYCL=ON -DLLAMA_SYCL_TARGET=NVIDIA -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
 
 # Option 2: Use FP16
-cmake . -B build -DLLAMA_SYCL=ON -DLLAMA_SYCL_TARGET=NVIDIA -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_SYCL_F16=ON
+cmake -B build -DLLAMA_SYCL=ON -DLLAMA_SYCL_TARGET=NVIDIA -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_SYCL_F16=ON
 
 # build all binary
 cmake --build build -j -v
diff --git a/README.md b/README.md
index 2203d3fbb..f901ed24d 100644
--- a/README.md
+++ b/README.md
@@ -321,7 +321,7 @@ In order to build llama.cpp you have three different options.
 - Using `CMake`:
 
     ```bash
-    cmake . -B build # Note: add -DCMAKE_BUILD_TYPE=Debug here for debug builds
+    cmake -B build # Note: add -DCMAKE_BUILD_TYPE=Debug here for debug builds
     cmake --build build
     ```
 
@@ -436,7 +436,7 @@ Building the program with BLAS support may lead to some performance improvements
   - Using `CMake` on Linux:
 
       ```bash
-      cmake . -B build -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS
+      cmake -B build -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS
       cmake --build build
       ```
 
@@ -458,7 +458,7 @@ Building the program with BLAS support may lead to some performance improvements
     By default, `LLAMA_BLAS_VENDOR` is set to `Generic`, so if you already sourced intel environment script and assign `-DLLAMA_BLAS=ON` in cmake, the mkl version of Blas will automatically been selected. Otherwise please install oneAPI and follow the below steps:
       ```bash
       source /opt/intel/oneapi/setvars.sh # You can skip this step if  in oneapi-basekit docker image, only required for manual installation
-      cmake . -B build -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=Intel10_64lp -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_NATIVE=ON
+      cmake -B build -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=Intel10_64lp -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_NATIVE=ON
       cmake --build build
       ```
 
@@ -480,7 +480,7 @@ Building the program with BLAS support may lead to some performance improvements
   - Using `CMake`:
 
     ```bash
-    cmake . -B build -DLLAMA_CUDA=ON
+    cmake -B build -DLLAMA_CUDA=ON
     cmake --build build
     ```
 
@@ -556,7 +556,7 @@ Building the program with BLAS support may lead to some performance improvements
         ```sh
         git clone --recurse-submodules https://github.com/KhronosGroup/OpenCL-SDK.git
         cd OpenCL-SDK
-        cmake . -B build -DBUILD_DOCS=OFF \
+        cmake -B build -DBUILD_DOCS=OFF \
           -DBUILD_EXAMPLES=OFF \
           -DBUILD_TESTING=OFF \
           -DOPENCL_SDK_BUILD_SAMPLES=OFF \
@@ -585,7 +585,7 @@ Building the program with BLAS support may lead to some performance improvements
       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 -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
       ```
@@ -598,7 +598,7 @@ Building the program with BLAS support may lead to some performance improvements
       ```sh
       git clone https://github.com/CNugteren/CLBlast.git
       cd CLBlast
-      cmake . -B build -DBUILD_SHARED_LIBS=OFF -DTUNERS=OFF
+      cmake -B build -DBUILD_SHARED_LIBS=OFF -DTUNERS=OFF
       cmake --build build
       cmake --install build --prefix /some/path
       ```
@@ -614,7 +614,7 @@ Building the program with BLAS support may lead to some performance improvements
     ```
   - CMake (Unix):
     ```sh
-    cmake . -B build -DLLAMA_CLBLAST=ON -DCLBlast_DIR=/some/path
+    cmake -B build -DLLAMA_CLBLAST=ON -DCLBlast_DIR=/some/path
     cmake --build build
     ```
   - CMake (Windows):
@@ -622,7 +622,7 @@ Building the program with BLAS support may lead to some performance improvements
     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 -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
     ```
@@ -680,7 +680,7 @@ Building the program with BLAS support may lead to some performance improvements
   Then, build llama.cpp using the cmake command below:
 
   ```bash
-  cmake . -B build -DLLAMA_VULKAN=1
+  cmake -B build -DLLAMA_VULKAN=1
   cmake --build build
   # Test the output binary (with "-ngl 33" to offload all layers to GPU)
   ./bin/main -m "PATH_TO_MODEL" -p "Hi you how are you" -n 50 -e -ngl 33 -t 4
diff --git a/examples/main-cmake-pkg/README.md b/examples/main-cmake-pkg/README.md
index ae2091afc..edf20d8db 100644
--- a/examples/main-cmake-pkg/README.md
+++ b/examples/main-cmake-pkg/README.md
@@ -17,7 +17,7 @@ In this case, CLBlast was already installed so the CMake package is referenced i
 ```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 -DLLAMA_CLBLAST=ON -DCMAKE_PREFIX_PATH=C:/CLBlast/lib/cmake/CLBlast -G "Visual Studio 17 2022" -A x64
 cmake --build build --config Release
 cmake --install build --prefix C:/LlamaCPP
 ```
@@ -27,7 +27,7 @@ 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:/CLBlast/lib/cmake/CLBlast;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/server/README.md b/examples/server/README.md
index d74b4f899..0e004c6a4 100644
--- a/examples/server/README.md
+++ b/examples/server/README.md
@@ -80,7 +80,7 @@ page cache before using this. See https://github.com/ggerganov/llama.cpp/issues/
 - Using `CMake`:
 
   ```bash
-  cmake . -B build
+  cmake -B build
   cmake --build build -t server
   ```
 
@@ -102,7 +102,7 @@ page cache before using this. See https://github.com/ggerganov/llama.cpp/issues/
 - Using `CMake`:
 
   ```bash
-  cmake . -B build -DLLAMA_SERVER_SSL=ON
+  cmake -B build -DLLAMA_SERVER_SSL=ON
   cmake --build build -t server
   ```