48 lines
2.3 KiB
Plaintext
48 lines
2.3 KiB
Plaintext
# How to build | 如何构建: docker build -t gpt-academic --network=host -f Dockerfile+ChatGLM .
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# How to run | 如何运行 (1) 直接运行: docker run --rm -it --net=host gpt-academic
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# 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
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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）
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FROM nvidia/cuda:11.3.1-runtime-ubuntu20.04
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ARG useProxyNetwork=''
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RUN apt-get update
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RUN apt-get install -y curl proxychains curl
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RUN apt-get install -y git python python3 python-dev python3-dev --fix-missing
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# 配置代理网络（构建Docker镜像时使用）
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# # comment out below if you do not need proxy network | 如果不需要翻墙 - 从此行向下删除
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RUN $useProxyNetwork curl cip.cc
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RUN sed -i '$ d' /etc/proxychains.conf
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RUN sed -i '$ d' /etc/proxychains.conf
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RUN echo "socks5 127.0.0.1 10880" >> /etc/proxychains.conf
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ARG useProxyNetwork=proxychains
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# # comment out above if you do not need proxy network | 如果不需要翻墙 - 从此行向上删除
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# use python3 as the system default python
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RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.8
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# 下载分支
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WORKDIR /gpt
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RUN $useProxyNetwork git clone https://github.com/binary-husky/chatgpt_academic.git -b v3.0
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WORKDIR /gpt/chatgpt_academic
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RUN $useProxyNetwork python3 -m pip install -r requirements.txt
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RUN $useProxyNetwork python3 -m pip install -r request_llm/requirements_chatglm.txt
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RUN $useProxyNetwork python3 -m pip install torch --extra-index-url https://download.pytorch.org/whl/cu113
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# 为chatgpt-academic配置代理和API-KEY （非必要 可选步骤）
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RUN echo ' \n\
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API_KEY = "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \n\
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USE_PROXY = True \n\
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proxies = { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } ' >> config_private.py
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# 预热CHATGLM参数（非必要 可选步骤）
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RUN echo ' \n\
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from transformers import AutoModel, AutoTokenizer \n\
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chatglm_tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) \n\
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chatglm_model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).float() ' >> warm_up_chatglm.py
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RUN python3 -u warm_up_chatglm.py
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# 启动
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CMD ["python3", "-u", "main.py"]
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