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| # 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（选择0号GPU）: docker run --rm -it --net=host --gpus="0" 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 --gpus="0" 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 | |
| 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 | |
| # 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 | |
| # 禁用缓存，确保更新代码 | |
| ADD "https://www.random.org/cgi-bin/randbyte?nbytes=10&format=h" skipcache | |
| RUN $useProxyNetwork git pull | |
| # 预热Tiktoken模块 | |
| RUN python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()' | |
| # 为chatgpt-academic配置代理和API-KEY （非必要 可选步骤） | |
| # 可同时填写多个API-KEY，支持openai的key和api2d的key共存，用英文逗号分割，例如API_KEY = "sk-openaikey1,fkxxxx-api2dkey2,........" | |
| # LLM_MODEL 是选择初始的模型 | |
| # LOCAL_MODEL_DEVICE 是选择chatglm等本地模型运行的设备，可选 cpu 和 cuda | |
| RUN echo ' \n\ | |
| API_KEY = "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx,fkxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \n\ | |
| USE_PROXY = True \n\ | |
| LLM_MODEL = "chatglm" \n\ | |
| LOCAL_MODEL_DEVICE = "cuda" \n\ | |
| proxies = { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } ' >> config_private.py | |
| # 启动 | |
| CMD ["python3", "-u", "main.py"] | |