gpt / docs /GithubAction+JittorLLMs
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Duplicate from qingxu98/gpt-academic
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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 https://github.com/binary-husky/chatgpt_academic.git -b jittor
WORKDIR /gpt/chatgpt_academic
RUN python3 -m pip install -r requirements.txt
RUN python3 -m pip install -r request_llm/requirements_chatglm.txt
RUN python3 -m pip install -r request_llm/requirements_newbing.txt
RUN python3 -m pip install -r request_llm/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_llm/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"]