57 lines
3.0 KiB
Markdown
57 lines
3.0 KiB
Markdown
# ChatGLM Application Based on Local Knowledge
|
||
|
||
## Introduction
|
||
|
||
🌍 [_中文文档_](README.md)
|
||
|
||
🤖️ A local knowledge based LLM Application with [ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B) and [langchain](https://github.com/hwchase17/langchain).
|
||
|
||
💡 Inspired by [document.ai](https://github.com/GanymedeNil/document.ai) by [GanymedeNil](https://github.com/GanymedeNil) and [ChatGLM-6B Pull Request](https://github.com/THUDM/ChatGLM-6B/pull/216) by [AlexZhangji](https://github.com/AlexZhangji).
|
||
|
||
✅ In this project, [GanymedeNil/text2vec-large-chinese](https://huggingface.co/GanymedeNil/text2vec-large-chinese/tree/main) is used as Embedding Model，and [ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B) used as LLM。Based on those models，this project can be deployed **offline** with all **open source** models。
|
||
|
||
## Update
|
||
**[2023/04/07]**
|
||
1. Fix bug which costs twice gpu memory (Thanks to [@suc16](https://github.com/suc16) and [@myml](https://github.com/myml)).
|
||
2. Add gpu memory clear function after each call of ChatGLM.
|
||
3. Add `nghuyong/ernie-3.0-nano-zh` and `nghuyong/ernie-3.0-base-zh` as Embedding model alternatives，costing less gpu than `GanymedeNil/text2vec-large-chinese` (Thanks to [@lastrei](https://github.com/lastrei))
|
||
|
||
## Usage
|
||
|
||
### Hardware Requirements
|
||
|
||
- ChatGLM Hardware Requirements
|
||
|
||
| **Quantization Level** | **GPU Memory** |
|
||
|------------------------|----------------|
|
||
| FP16（no quantization） | 13 GB |
|
||
| INT8 | 10 GB |
|
||
| INT4 | 6 GB |
|
||
- Embedding Hardware Requirements
|
||
|
||
The default Embedding model in this repo is [GanymedeNil/text2vec-large-chinese](https://huggingface.co/GanymedeNil/text2vec-large-chinese/tree/main), 3GB GPU Memory required when running on GPU.
|
||
|
||
|
||
### 1. install python packages
|
||
```commandline
|
||
pip install -r requirements
|
||
```
|
||
Attention: With langchain.document_loaders.UnstructuredFileLoader used to connect with local knowledge file, you may need some other dependencies as mentioned in [langchain documentation](https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/unstructured_file.html)
|
||
|
||
### 2. Run [knowledge_based_chatglm.py](knowledge_based_chatglm.py) script
|
||
```commandline
|
||
python knowledge_based_chatglm.py
|
||
```
|
||
|
||
### Known issues
|
||
- Currently tested to support txt, docx, md format files, for more file formats please refer to [langchain documentation](https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/unstructured_file.html). If the document contains special characters, the file may not be correctly loaded.
|
||
- When running this project with macOS, it may not work properly due to incompatibility with pytorch caused by macOS version 13.3 and above.
|
||
|
||
## Roadmap
|
||
- [x] local knowledge based application with langchain + ChatGLM-6B
|
||
- [x] unstructured files loaded with langchain
|
||
- [ ] more different file format loaded with langchain
|
||
- [ ] implement web ui DEMO with gradio/streamlit
|
||
- [ ] implement API with fastapi，and web ui DEMO with API
|
||
|