# How to build | 如何构建: docker build -t gpt-academic --network=host -f Dockerfile+ChatGLM . # How to run | 如何运行 (1) 直接运行: docker run --rm -it --net=host gpt-academic # How to run | 如何运行 (2) 我想运行之前进容器做一些调整: docker run --rm -it --net=host --gpu=all gpt-academic bash # 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 RUN apt-get install -y git python python3 python-dev python3-dev --fix-missing # 配置代理网络(构建Docker镜像时使用) # # comment out below if you do not need proxy network | 如果不需要翻墙 - 从此行向下删除 RUN $useProxyNetwork curl cip.cc RUN sed -i '$ d' /etc/proxychains.conf RUN sed -i '$ d' /etc/proxychains.conf RUN echo "socks5 127.0.0.1 10880" >> /etc/proxychains.conf ARG useProxyNetwork=proxychains # # comment out above if you do not need proxy network | 如果不需要翻墙 - 从此行向上删除 # use python3 as the system default python RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.8 # 下载分支 WORKDIR /gpt RUN $useProxyNetwork git clone https://github.com/binary-husky/chatgpt_academic.git -b v3.0 WORKDIR /gpt/chatgpt_academic RUN $useProxyNetwork python3 -m pip install -r requirements.txt RUN $useProxyNetwork python3 -m pip install -r request_llm/requirements_chatglm.txt RUN $useProxyNetwork python3 -m pip install torch --extra-index-url https://download.pytorch.org/whl/cu113 # 为chatgpt-academic配置代理和API-KEY (非必要 可选步骤) RUN echo ' \n\ API_KEY = "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \n\ USE_PROXY = True \n\ proxies = { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } ' >> config_private.py # 预热CHATGLM参数(非必要 可选步骤) RUN echo ' \n\ from transformers import AutoModel, AutoTokenizer \n\ chatglm_tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) \n\ chatglm_model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).float() ' >> warm_up_chatglm.py RUN python3 -u warm_up_chatglm.py # 启动 CMD ["python3", "-u", "main.py"]