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【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" | |