镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 14:36:48 +00:00
55 行
1.5 KiB
Markdown
55 行
1.5 KiB
Markdown
# 如何使用其他大语言模型
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## ChatGLM
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- 安装依赖 `pip install -r request_llm/requirements_chatglm.txt`
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- 修改配置，在config.py中将LLM_MODEL的值改为"chatglm"
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``` sh
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LLM_MODEL = "chatglm"
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```
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- 运行！
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``` sh
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`python main.py`
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```
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---
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## Text-Generation-UI (TGUI，调试中，暂不可用)
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### 1. 部署TGUI
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``` sh
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# 1 下载模型
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git clone https://github.com/oobabooga/text-generation-webui.git
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# 2 这个仓库的最新代码有问题，回滚到几周之前
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git reset --hard fcda3f87767e642d1c0411776e549e1d3894843d
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# 3 切换路径
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cd text-generation-webui
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# 4 安装text-generation的额外依赖
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pip install accelerate bitsandbytes flexgen gradio llamacpp markdown numpy peft requests rwkv safetensors sentencepiece tqdm datasets git+https://github.com/huggingface/transformers
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# 5 下载模型
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python download-model.py facebook/galactica-1.3b
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# 其他可选如 facebook/opt-1.3b
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# facebook/galactica-1.3b
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# facebook/galactica-6.7b
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# facebook/galactica-120b
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# facebook/pygmalion-1.3b 等
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# 详情见 https://github.com/oobabooga/text-generation-webui
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# 6 启动text-generation
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python server.py --cpu --listen --listen-port 7865 --model facebook_galactica-1.3b
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```
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### 2. 修改config.py
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``` sh
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# 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
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LLM_MODEL = "tgui:galactica-1.3b@localhost:7860"
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```
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### 3. 运行！
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``` sh
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cd chatgpt-academic
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python main.py
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```
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