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- # 从NVIDIA源,从而支持显卡运损(检查宿主的nvidia-smi中的cuda版本必须>=11.3)
- FROM nvidia/cuda:11.3.1-runtime-ubuntu20.04
- ARG useProxyNetwork=''
- RUN apt-get update
- RUN apt-get install -y curl proxychains curl g++
- RUN apt-get install -y git python python3 python-dev python3-dev --fix-missing
- # use python3 as the system default python
- RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.8
- # 下载pytorch
- RUN python3 -m pip install torch --extra-index-url https://download.pytorch.org/whl/cu113
- # 下载分支
- WORKDIR /gpt
- RUN git clone --depth=1 https://github.com/binary-husky/gpt_academic.git
- WORKDIR /gpt/gpt_academic
- RUN python3 -m pip install -r requirements.txt
- RUN python3 -m pip install -r request_llms/requirements_chatglm.txt
- RUN python3 -m pip install -r request_llms/requirements_newbing.txt
- RUN python3 -m pip install -r request_llms/requirements_jittorllms.txt -i https://pypi.jittor.org/simple -I
- # 下载JittorLLMs
- RUN git clone https://github.com/binary-husky/JittorLLMs.git --depth 1 request_llms/jittorllms
- # 禁用缓存,确保更新代码
- ADD "https://www.random.org/cgi-bin/randbyte?nbytes=10&format=h" skipcache
- RUN git pull
- # 预热Tiktoken模块
- RUN python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()'
- # 启动
- CMD ["python3", "-u", "main.py"]
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