28 lines
1.2 KiB
Docker
28 lines
1.2 KiB
Docker
# Use the official vllm image for gpu with Volta、Turing、Ampere、Ada Lovelace、Hopper、Blackwell architecture (7.0 <= Compute Capability <= 12.1)
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# The default base image uses vLLM 0.21.0 with CUDA 13.0. For CUDA 12.9 environments, switch to the commented cu129 image below.
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# Compute Capability version query (https://developer.nvidia.com/cuda-gpus)
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# support x86_64 architecture and ARM(AArch64) architecture
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FROM vllm/vllm-openai:v0.21.0
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# FROM vllm/vllm-openai:v0.21.0-cu129
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# Install libgl for opencv support & Noto fonts for Chinese characters
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RUN apt-get update && \
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apt-get install -y \
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fonts-noto-core \
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fonts-noto-cjk \
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fontconfig \
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libgl1 && \
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fc-cache -fv && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# Install mineru latest
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RUN python3 -m pip install -U 'mineru[core]>=3.4.0' --break-system-packages && \
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python3 -m pip cache purge
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# Download models and update the configuration file
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RUN /bin/bash -c "mineru-models-download -s huggingface -m all"
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# Set the entry point to activate the virtual environment and run the command line tool
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ENTRYPOINT ["/bin/bash", "-c", "export MINERU_MODEL_SOURCE=local && exec \"$@\"", "--"]
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