【请在修改完参数后,删除此行】请在以下方案中选择一种,然后删除其他的方案,最后docker-compose up运行 ## =================================================== ## 【方案一】 如果不需要运行本地模型(仅chatgpt类远程服务) ## =================================================== version: '3' services: gpt_academic_nolocalllms: image: fuqingxu/gpt_academic:no-local-llms environment: # 请查阅 `config.py` 以查看所有的配置信息 API_KEY: ' sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx,fkxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx ' USE_PROXY: ' True ' proxies: ' { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } ' LLM_MODEL: ' gpt-3.5-turbo ' AVAIL_LLM_MODELS: ' ["gpt-3.5-turbo", "api2d-gpt-4"] ' DEFAULT_WORKER_NUM: ' 10 ' WEB_PORT: ' 22303 ' ADD_WAIFU: ' True ' AUTHENTICATION: ' [("username", "passwd"), ("username2", "passwd2")] ' # 与宿主的网络融合 network_mode: "host" # 不使用代理网络拉取最新代码 command: > bash -c " echo '[gpt-academic] 正在从github拉取最新代码...' && git checkout master --force && git remote set-url origin https://github.com/binary-husky/chatgpt_academic.git && git pull && python3 -u main.py" ### =================================================== ### 【方案二】 如果需要运行ChatGLM本地模型 ### =================================================== version: '3' services: gpt_academic_with_chatglm: image: fuqingxu/gpt_academic:chatgpt-chatglm-newbing # [option 2] 如果需要运行ChatGLM本地模型 environment: # 请查阅 `config.py` 以查看所有的配置信息 API_KEY: ' sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx,fkxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx ' USE_PROXY: ' True ' proxies: ' { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } ' LLM_MODEL: ' gpt-3.5-turbo ' AVAIL_LLM_MODELS: ' ["gpt-3.5-turbo", "api2d-gpt-4", "chatglm"] ' LOCAL_MODEL_DEVICE: ' cuda ' DEFAULT_WORKER_NUM: ' 10 ' WEB_PORT: ' 12303 ' ADD_WAIFU: ' True ' AUTHENTICATION: ' [("username", "passwd"), ("username2", "passwd2")] ' # 显卡的使用,nvidia0指第0个GPU runtime: nvidia devices: - /dev/nvidia0:/dev/nvidia0 # 与宿主的网络融合 network_mode: "host" # 使用代理网络拉取最新代码 # command: > # bash -c " echo '[gpt-academic] 正在从github拉取最新代码...' && # truncate -s -1 /etc/proxychains.conf && # echo \"socks5 127.0.0.1 10880\" >> /etc/proxychains.conf && # proxychains git pull && # python3 -u main.py " # 不使用代理网络拉取最新代码 command: > bash -c " echo '[gpt-academic] 正在从github拉取最新代码...' && git pull && python3 -u main.py" ### =================================================== ### 【方案三】 如果需要运行ChatGPT + LLAMA + 盘古 + RWKV本地模型 ### =================================================== version: '3' services: gpt_academic_with_rwkv: image: fuqingxu/gpt_academic:jittorllms # [option 2] 如果需要运行ChatGPT + LLAMA + 盘古 + RWKV本地模型 environment: # 请查阅 `config.py` 以查看所有的配置信息 API_KEY: ' sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx,fkxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx ' USE_PROXY: ' True ' proxies: ' { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } ' LLM_MODEL: ' gpt-3.5-turbo ' AVAIL_LLM_MODELS: ' ["gpt-3.5-turbo", "api2d-gpt-4", "newbing", "jittorllms_rwkv", "jittorllms_llama", "jittorllms_pangualpha"] ' LOCAL_MODEL_DEVICE: ' cuda ' DEFAULT_WORKER_NUM: ' 10 ' WEB_PORT: ' 32303 ' ADD_WAIFU: ' True ' AUTHENTICATION: ' [("username", "passwd"), ("username2", "passwd2")] ' # 显卡的使用,nvidia0指第0个GPU runtime: nvidia devices: - /dev/nvidia0:/dev/nvidia0 # 与宿主的网络融合 network_mode: "host" # 使用代理网络拉取最新代码 # command: > # bash -c " echo '[gpt-academic] 正在从github拉取最新代码...' && # truncate -s -1 /etc/proxychains.conf && # echo \"socks5 127.0.0.1 10880\" >> /etc/proxychains.conf && # proxychains git pull && # python3 -u main.py " # 不使用代理网络拉取最新代码 command: > bash -c " echo '[gpt-academic] 正在从github拉取最新代码...' && git pull && python3 -u main.py"