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binary-husky 5102ec8263 添加对复旦大学MOSS的支持 2023-05-07 01:04:59 +08:00
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README.md Update README.md 2023-04-21 18:49:24 +08:00
bridge_all.py 添加对复旦大学MOSS的支持 2023-05-07 01:04:59 +08:00
bridge_chatglm.py thread lock in chatglm 2023-04-27 11:17:19 +08:00
bridge_chatgpt.py better traceback 2023-04-23 18:13:30 +08:00
bridge_jittorllms_llama.py merge jittor branch 2023-05-06 23:39:57 +08:00
bridge_jittorllms_pangualpha.py merge jittor branch 2023-05-06 23:39:57 +08:00
bridge_jittorllms_rwkv.py merge jittor branch 2023-05-06 23:39:57 +08:00
bridge_moss.py 添加对复旦大学MOSS的支持 2023-05-07 01:04:59 +08:00
bridge_newbing.py 临时修复超链接显示为公式的问题 2023-04-29 03:02:19 +08:00
bridge_tgui.py Rebase v3.0 2023-04-15 15:24:18 +08:00
edge_gpt.py 修改依赖的引用方式 2023-04-23 23:39:54 +08:00
requirements_chatglm.txt Rebase v3.0 2023-04-15 15:24:18 +08:00
requirements_jittorllms.txt merge jittor branch 2023-05-06 23:39:57 +08:00
requirements_moss.txt 添加对复旦大学MOSS的支持 2023-05-07 01:04:59 +08:00
requirements_newbing.txt 实现Newbing聊天功能 2023-04-22 21:18:35 +08:00
test_llms.py 添加对复旦大学MOSS的支持 2023-05-07 01:04:59 +08:00

README.md

如何使用其他大语言模型

ChatGLM

  • 安装依赖 pip install -r request_llm/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`

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