server: update refs -> llama-server
gitignore llama-server
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16 changed files with 35 additions and 35 deletions
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@ -25,13 +25,13 @@ ENV LLAMA_CUDA=1
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# Enable cURL
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ENV LLAMA_CURL=1
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RUN make -j$(nproc) server
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RUN make -j$(nproc) llama-server
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FROM ${BASE_CUDA_RUN_CONTAINER} as runtime
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RUN apt-get update && \
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apt-get install -y libcurl4-openssl-dev libgomp1
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COPY --from=build /app/server /server
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COPY --from=build /app/llama-server /llama-server
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ENTRYPOINT [ "/server" ]
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ENTRYPOINT [ "/llama-server" ]
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@ -38,8 +38,8 @@ RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRO
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RUN apt-get update && \
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apt-get install -y libcurl4-openssl-dev
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COPY --from=build /app/build/bin/server /server
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COPY --from=build /app/build/bin/llama-server /llama-server
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ENV LC_ALL=C.utf8
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ENTRYPOINT [ "/server" ]
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ENTRYPOINT [ "/llama-server" ]
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@ -45,6 +45,6 @@ ENV LLAMA_CURL=1
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RUN apt-get update && \
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apt-get install -y libcurl4-openssl-dev
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RUN make -j$(nproc)
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RUN make -j$(nproc) llama-server
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ENTRYPOINT [ "/app/server" ]
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ENTRYPOINT [ "/app/llama-server" ]
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@ -23,9 +23,9 @@ RUN cmake -B build -DLLAMA_VULKAN=1 -DLLAMA_CURL=1 && \
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# Clean up
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WORKDIR /
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RUN cp /app/build/bin/server /server && \
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RUN cp /app/build/bin/llama-server /llama-server && \
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rm -rf /app
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ENV LC_ALL=C.utf8
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ENTRYPOINT [ "/server" ]
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ENTRYPOINT [ "/llama-server" ]
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@ -11,15 +11,15 @@ COPY . .
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ENV LLAMA_CURL=1
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RUN make -j$(nproc) server
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RUN make -j$(nproc) llama-server
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FROM ubuntu:$UBUNTU_VERSION as runtime
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RUN apt-get update && \
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apt-get install -y libcurl4-openssl-dev libgomp1
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COPY --from=build /app/server /server
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COPY --from=build /app/llama-server /llama-server
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ENV LC_ALL=C.utf8
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ENTRYPOINT [ "/server" ]
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ENTRYPOINT [ "/llama-server" ]
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@ -26,7 +26,7 @@ elif [[ "$arg1" == '--all-in-one' || "$arg1" == '-a' ]]; then
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fi
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done
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elif [[ "$arg1" == '--server' || "$arg1" == '-s' ]]; then
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./server "$@"
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./llama-server "$@"
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else
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echo "Unknown command: $arg1"
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echo "Available commands: "
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2
.gitignore
vendored
2
.gitignore
vendored
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@ -76,7 +76,7 @@ models-mnt
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/quantize-stats
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/result
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/save-load-state
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/server
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/llama-server
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/simple
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/batched
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/batched-bench
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@ -1,5 +1,5 @@
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# Usage:
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#! ./server -m some-model.gguf &
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#! ./llama-server -m some-model.gguf &
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#! pip install pydantic
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#! python json-schema-pydantic-example.py
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@ -16,7 +16,7 @@ GEN_OPTIONS="${GEN_OPTIONS:---ctx_size 4096 --batch-size 1024}"
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# shellcheck disable=SC2086 # Intended splitting of GEN_OPTIONS
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./server $GEN_OPTIONS \
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./llama-server $GEN_OPTIONS \
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--model "$MODEL" \
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--threads "$N_THREAD" \
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--rope-freq-scale 1.0 \
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@ -80,26 +80,26 @@ The project is under active development, and we are [looking for feedback and co
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## Build
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`server` is built alongside everything else from the root of the project
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`llama-server` is built alongside everything else from the root of the project
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- Using `make`:
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```bash
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make server
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make llama-server
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```
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- Using `CMake`:
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```bash
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cmake -B build
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cmake --build build --config Release -t server
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cmake --build build --config Release -t llama-server
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```
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Binary is at `./build/bin/server`
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Binary is at `./build/bin/llama-server`
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## Build with SSL
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`server` can also be built with SSL support using OpenSSL 3
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`llama-server` can also be built with SSL support using OpenSSL 3
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- Using `make`:
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@ -107,14 +107,14 @@ The project is under active development, and we are [looking for feedback and co
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# NOTE: For non-system openssl, use the following:
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# CXXFLAGS="-I /path/to/openssl/include"
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# LDFLAGS="-L /path/to/openssl/lib"
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make LLAMA_SERVER_SSL=true server
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make LLAMA_SERVER_SSL=true llama-server
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```
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- Using `CMake`:
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```bash
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cmake -B build -DLLAMA_SERVER_SSL=ON
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cmake --build build --config Release -t server
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cmake --build build --config Release -t llama-server
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```
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## Quick Start
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@ -124,13 +124,13 @@ To get started right away, run the following command, making sure to use the cor
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### Unix-based systems (Linux, macOS, etc.)
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```bash
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./server -m models/7B/ggml-model.gguf -c 2048
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./llama-server -m models/7B/ggml-model.gguf -c 2048
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```
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### Windows
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```powershell
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server.exe -m models\7B\ggml-model.gguf -c 2048
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llama-server.exe -m models\7B\ggml-model.gguf -c 2048
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```
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The above command will start a server that by default listens on `127.0.0.1:8080`.
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@ -629,11 +629,11 @@ bash chat.sh
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### OAI-like API
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The HTTP `server` supports an OAI-like API: https://github.com/openai/openai-openapi
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The HTTP `llama-server` supports an OAI-like API: https://github.com/openai/openai-openapi
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### API errors
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`server` returns errors in the same format as OAI: https://github.com/openai/openai-openapi
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`llama-server` returns errors in the same format as OAI: https://github.com/openai/openai-openapi
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Example of an error:
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@ -99,7 +99,7 @@ The `bench.py` script does several steps:
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It aims to be used in the CI, but you can run it manually:
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```shell
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LLAMA_SERVER_BIN_PATH=../../../cmake-build-release/bin/server python bench.py \
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LLAMA_SERVER_BIN_PATH=../../../cmake-build-release/bin/llama-server python bench.py \
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--runner-label local \
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--name local \
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--branch `git rev-parse --abbrev-ref HEAD` \
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@ -245,7 +245,7 @@ def start_server(args):
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def start_server_background(args):
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# Start the server
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server_path = '../../../build/bin/server'
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server_path = '../../../build/bin/llama-server'
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if 'LLAMA_SERVER_BIN_PATH' in os.environ:
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server_path = os.environ['LLAMA_SERVER_BIN_PATH']
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server_args = [
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@ -44,12 +44,12 @@ http module.
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### running using examples/server
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bin/server -m path/model.gguf --path ../examples/server/public_simplechat [--port PORT]
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./llama-server -m path/model.gguf --path examples/server/public_simplechat [--port PORT]
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### running using python3's server module
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first run examples/server
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* bin/server -m path/model.gguf
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* ./llama-server -m path/model.gguf
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next run this web front end in examples/server/public_simplechat
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* cd ../examples/server/public_simplechat
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@ -40,7 +40,7 @@ It's possible to override some scenario steps values with environment variables:
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| variable | description |
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|--------------------------|------------------------------------------------------------------------------------------------|
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| `PORT` | `context.server_port` to set the listening port of the server during scenario, default: `8080` |
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| `LLAMA_SERVER_BIN_PATH` | to change the server binary path, default: `../../../build/bin/server` |
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| `LLAMA_SERVER_BIN_PATH` | to change the server binary path, default: `../../../build/bin/llama-server` |
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| `DEBUG` | "ON" to enable steps and server verbose mode `--verbose` |
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| `SERVER_LOG_FORMAT_JSON` | if set switch server logs to json format |
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| `N_GPU_LAYERS` | number of model layers to offload to VRAM `-ngl --n-gpu-layers` |
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@ -1272,9 +1272,9 @@ def context_text(context):
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def start_server_background(context):
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if os.name == 'nt':
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context.server_path = '../../../build/bin/Release/server.exe'
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context.server_path = '../../../build/bin/Release/llama-server.exe'
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else:
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context.server_path = '../../../build/bin/server'
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context.server_path = '../../../build/bin/llama-server'
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if 'LLAMA_SERVER_BIN_PATH' in os.environ:
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context.server_path = os.environ['LLAMA_SERVER_BIN_PATH']
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server_listen_addr = context.server_fqdn
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@ -1,6 +1,6 @@
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# GBNF Guide
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GBNF (GGML BNF) is a format for defining [formal grammars](https://en.wikipedia.org/wiki/Formal_grammar) to constrain model outputs in `llama.cpp`. For example, you can use it to force the model to generate valid JSON, or speak only in emojis. GBNF grammars are supported in various ways in `examples/main` and `examples/server`.
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GBNF (GGML BNF) is a format for defining [formal grammars](https://en.wikipedia.org/wiki/Formal_grammar) to constrain model outputs in `llama.cpp`. For example, you can use it to force the model to generate valid JSON, or speak only in emojis. GBNF grammars are supported in various ways in `examples/main` and `examples/llama-server`.
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## Background
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