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https://github.com/hiyouga/LLaMA-Factory.git
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dcbc8168a8
Modify installation method of extra python library. Utilize shared memory of the host machine to increase training performance. Former-commit-id: 6a5693d11d065f6e75c8cdd8b5ed962eb520953c
15 lines
328 B
Docker
15 lines
328 B
Docker
FROM cnstark/pytorch:2.0.1-py3.9.17-cuda11.8.0-ubuntu20.04
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WORKDIR /app
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COPY requirements.txt /app/
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RUN pip install -r requirements.txt
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COPY . /app/
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RUN pip install -e .[deepspeed,metrics,bitsandbytes,qwen]
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VOLUME [ "/root/.cache/huggingface/", "/app/data", "/app/output" ]
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EXPOSE 7860
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CMD [ "python", "src/train_web.py" ]
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