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- # Use DaoCloud mirrored vllm image for China region for gpu with Ampere、Ada Lovelace、Hopper architecture (8.0 <= Compute Capability <= 9.0)
- # Compute Capability version query (https://developer.nvidia.com/cuda-gpus)
- # only support x86_64 architecture
- FROM docker.m.daocloud.io/vllm/vllm-openai:v0.10.1.1
- # Use DaoCloud mirrored vllm image for China region for gpu with Volta、Turing、Blackwell architecture (7.0 < Compute Capability < 8.0 or Compute Capability >= 10.0)
- # support x86_64 architecture and ARM(AArch64) architecture
- # FROM docker.m.daocloud.io/vllm/vllm-openai:v0.11.0
- # Install libgl for opencv support & Noto fonts for Chinese characters
- RUN apt-get update && \
- apt-get install -y \
- fonts-noto-core \
- fonts-noto-cjk \
- fontconfig \
- libgl1 && \
- fc-cache -fv && \
- apt-get clean && \
- rm -rf /var/lib/apt/lists/*
- # Install mineru latest
- RUN python3 -m pip install -U 'mineru[core]>=2.7.0' -i https://mirrors.aliyun.com/pypi/simple --break-system-packages && \
- python3 -m pip cache purge
- # Download models and update the configuration file
- RUN /bin/bash -c "mineru-models-download -s modelscope -m all"
- # Set the entry point to activate the virtual environment and run the command line tool
- ENTRYPOINT ["/bin/bash", "-c", "export MINERU_MODEL_SOURCE=local && exec \"$@\"", "--"]
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