mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-11-06 09:46:50 +00:00
devops: fix failing s390x docker build (#16918)
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@@ -24,8 +24,9 @@ RUN --mount=type=cache,target=/root/.ccache \
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-DCMAKE_C_COMPILER_LAUNCHER=ccache \
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-DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
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-DLLAMA_BUILD_TESTS=OFF \
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-DGGML_BACKEND_DL=OFF \
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-DGGML_NATIVE=OFF \
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-DGGML_BACKEND_DL=ON \
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-DGGML_CPU_ALL_VARIANTS=ON \
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-DGGML_BLAS=ON \
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-DGGML_BLAS_VENDOR=OpenBLAS && \
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cmake --build build --config Release -j $(nproc) && \
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@@ -103,6 +104,7 @@ FROM base AS light
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WORKDIR /llama.cpp/bin
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# Copy llama.cpp binaries and libraries
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COPY --from=collector /llama.cpp/bin/*.so /llama.cpp/bin
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COPY --from=collector /llama.cpp/bin/llama-cli /llama.cpp/bin
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ENTRYPOINT [ "/llama.cpp/bin/llama-cli" ]
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@@ -116,6 +118,7 @@ ENV LLAMA_ARG_HOST=0.0.0.0
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WORKDIR /llama.cpp/bin
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# Copy llama.cpp binaries and libraries
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COPY --from=collector /llama.cpp/bin/*.so /llama.cpp/bin
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COPY --from=collector /llama.cpp/bin/llama-server /llama.cpp/bin
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EXPOSE 8080
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@@ -7,9 +7,9 @@
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## Images
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We have three Docker images available for this project:
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1. `ghcr.io/ggml-org/llama.cpp:full`: This image includes both the main executable file and the tools to convert LLaMA models into ggml and convert into 4-bit quantization. (platforms: `linux/amd64`, `linux/arm64`)
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2. `ghcr.io/ggml-org/llama.cpp:light`: This image only includes the main executable file. (platforms: `linux/amd64`, `linux/arm64`)
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3. `ghcr.io/ggml-org/llama.cpp:server`: This image only includes the server executable file. (platforms: `linux/amd64`, `linux/arm64`)
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1. `ghcr.io/ggml-org/llama.cpp:full`: This image includes both the main executable file and the tools to convert LLaMA models into ggml and convert into 4-bit quantization. (platforms: `linux/amd64`, `linux/arm64`, `linux/s390x`)
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2. `ghcr.io/ggml-org/llama.cpp:light`: This image only includes the main executable file. (platforms: `linux/amd64`, `linux/arm64`, `linux/s390x`)
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3. `ghcr.io/ggml-org/llama.cpp:server`: This image only includes the server executable file. (platforms: `linux/amd64`, `linux/arm64`, `linux/s390x`)
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Additionally, there the following images, similar to the above:
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