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| .. | ||
| README.md | ||
| bridge_all.py | ||
| bridge_chatglm.py | ||
| bridge_chatglm3.py | ||
| bridge_chatglmft.py | ||
| bridge_chatglmonnx.py | ||
| bridge_chatgpt.py | ||
| bridge_chatgpt_vision.py | ||
| bridge_chatgpt_website.py | ||
| bridge_claude.py | ||
| bridge_internlm.py | ||
| bridge_jittorllms_llama.py | ||
| bridge_jittorllms_pangualpha.py | ||
| bridge_jittorllms_rwkv.py | ||
| bridge_llama2.py | ||
| bridge_moss.py | ||
| bridge_newbingfree.py | ||
| bridge_qianfan.py | ||
| bridge_qwen.py | ||
| bridge_spark.py | ||
| bridge_stackclaude.py | ||
| bridge_tgui.py | ||
| bridge_zhipu.py | ||
| chatglmoonx.py | ||
| com_sparkapi.py | ||
| com_zhipuapi.py | ||
| edge_gpt_free.py | ||
| key_manager.py | ||
| local_llm_class.py | ||
| queued_pipe.py | ||
| requirements_chatglm.txt | ||
| requirements_chatglm_onnx.txt | ||
| requirements_jittorllms.txt | ||
| requirements_moss.txt | ||
| requirements_newbing.txt | ||
| requirements_qwen.txt | ||
| requirements_slackclaude.txt | ||
README.md
如何使用其他大语言模型
ChatGLM
- 安装依赖
pip install -r request_llms/requirements_chatglm.txt - 修改配置,在config.py中将LLM_MODEL的值改为"chatglm"
LLM_MODEL = "chatglm"
- 运行!
`python main.py`
Claude-Stack
-
请参考此教程获取 https://zhuanlan.zhihu.com/p/627485689
- 1、SLACK_CLAUDE_BOT_ID
- 2、SLACK_CLAUDE_USER_TOKEN
-
把token加入config.py
Newbing
- 使用cookie editor获取cookie(json)
- 把cookie(json)加入config.py (NEWBING_COOKIES)
Moss
- 使用docker-compose
RWKV
- 使用docker-compose
LLAMA
- 使用docker-compose
盘古
- 使用docker-compose
Text-Generation-UI (TGUI,调试中,暂不可用)
1. 部署TGUI
# 1 下载模型
git clone https://github.com/oobabooga/text-generation-webui.git
# 2 这个仓库的最新代码有问题,回滚到几周之前
git reset --hard fcda3f87767e642d1c0411776e549e1d3894843d
# 3 切换路径
cd text-generation-webui
# 4 安装text-generation的额外依赖
pip install accelerate bitsandbytes flexgen gradio llamacpp markdown numpy peft requests rwkv safetensors sentencepiece tqdm datasets git+https://github.com/huggingface/transformers
# 5 下载模型
python download-model.py facebook/galactica-1.3b
# 其他可选如 facebook/opt-1.3b
# facebook/galactica-1.3b
# facebook/galactica-6.7b
# facebook/galactica-120b
# facebook/pygmalion-1.3b 等
# 详情见 https://github.com/oobabooga/text-generation-webui
# 6 启动text-generation
python server.py --cpu --listen --listen-port 7865 --model facebook_galactica-1.3b
2. 修改config.py
# LLM_MODEL格式: tgui:[模型]@[ws地址]:[ws端口] , 端口要和上面给定的端口一致
LLM_MODEL = "tgui:galactica-1.3b@localhost:7860"
3. 运行!
cd chatgpt-academic
python main.py