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Browse files- Dockerfile +54 -0
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| 1 |
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FROM debian:bookworm-slim
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# Prevent interactive prompts during package installation
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ENV DEBIAN_FRONTEND=noninteractive
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# 1. Install build tools and CURL dependencies (needed for -hf flag)
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RUN apt-get update && apt-get install -y \
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build-essential \
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cmake \
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git \
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libopenblas-dev \
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libcurl4-openssl-dev \
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libssl-dev \
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&& rm -rf /var/lib/apt/lists/*
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# 2. Setup Hugging Face user (Required for Spaces)
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RUN useradd -m -u 1000 user
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USER user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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WORKDIR $HOME/app
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# 3. Clone and Compile llama.cpp for Xeon Platinum 8375C
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# -DGGML_NATIVE=ON: Targets your specific Ice Lake instructions
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# -DGGML_AVX512 & VNNI: Uses the hardware acceleration flags found in your cpuinfo
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# -DGGML_CURL=ON: Enables the -hf downloading capability
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RUN git clone --depth 1 https://github.com/ggerganov/llama.cpp.git . && \
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cmake -B build \
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-DCMAKE_BUILD_TYPE=Release \
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-DGGML_NATIVE=ON \
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-DGGML_AVX512=ON \
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-DGGML_AVX512_VNNI=ON \
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-DGGML_OPENMP=ON \
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-DGGML_CURL=ON && \
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cmake --build build --config Release -j $(nproc) && \
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cp build/bin/llama-server . && \
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rm -rf build # Clean up build artifacts to reduce image size
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# 4. Final Server Configuration
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# -t 8: Optimized for your 8 physical cores (prevents hyperthreading slowdowns)
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# -hf: Pulls directly from Hugging Face
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# --host 0.0.0.0: Required for Hugging Face Spaces networking
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# --flash-attn: Uses AVX-512 optimized attention kernels
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ENTRYPOINT ["./llama-server"]
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CMD [ \
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"-hf", "unsloth/Qwen3.5-9B-GGUF:Q8_0", \
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"--host", "0.0.0.0", \
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"--port", "7860", \
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"-t", "8", \
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"-c", "4096", \
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"--flash-attn", \
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"--no-mmap" \
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]
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