General
PromptBeginner5 minmarkdown
Welcome to BELLE project! We appreciate your interest in contributing to our project.
In order to make the contribution process as smooth as possible, we have established some
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General
PromptBeginner5 minmarkdown
<img src="assets/belle_logo.png" style="vertical-align: middle; width: 35px;"> BELLE: Be Everyone's Large Language model Engine
*[中文README](README.md).*
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General
PromptBeginner5 minmarkdown
theme: jekyll-theme-cayman
generic skill
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General
PromptBeginner5 minmarkdown
[**🇨🇳中文**](https://github.com/shibing624/MedicalGPT/blob/main/README.md) | [**🌐English**](https://github.com/shibing624/MedicalGPT/blob/main/README_EN.md) | [**📖文档/Docs**](https://github.com/shibi
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General
PromptBeginner5 minmarkdown
Byte-compiled / optimized / DLL files
__pycache__/
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General
PromptBeginner5 minmarkdown
Contributing
We are happy to accept your contributions to make this repo better and more awesome! To avoid unnecessary work on either
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General
PromptBeginner5 minmarkdown
[**🇨🇳中文**](https://github.com/shibing624/MedicalGPT/blob/main/README.md) | [**🌐English**](https://github.com/shibing624/MedicalGPT/blob/main/README_EN.md) | [**📖文档/Docs**](https://github.com/shibi
<div align="center">
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General
PromptBeginner5 minmarkdown
<p align="left">
English ｜ <a href="README.md">中文</a>
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General
PromptBeginner5 minmarkdown
<p align="left">
<a href="README_EN.md">English</a> ｜ 中文
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General
PromptBeginner5 minmarkdown
[Chinese-LLaMA-Alpaca-3](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3)项目启动！
[**🇨🇳中文**](./README.md) | [**🌐English**](./README_EN.md) | [**📖文档/Docs**](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/wiki) | [**❓提问/Issues**](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/issues) | [**💬讨论/Discussions**](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/discussions) | [**⚔️
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General
PromptBeginner5 minmarkdown
[Chinese-LLaMA-Alpaca-3](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3) is launched!
[**🇨🇳中文**](./README.md) | [**🌐English**](./README_EN.md) | [**📖文档/Docs**](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/wiki) | [**❓提问/Issues**](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/issues) | [**💬讨论/Discussions**](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/discussions) | [**⚔️
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General
PromptBeginner5 minmarkdown
.DS_Store
*/.DS_Store
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General
PromptBeginner5 minmarkdown
notebooks/** linguist-vendored
generic skill
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General
PromptBeginner5 minmarkdown
[Chinese-LLaMA-Alpaca-3](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3)项目启动！
[**🇨🇳中文**](./README.md) | [**🌐English**](./README_EN.md) | [**📖文档/Docs**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki) | [**❓提问/Issues**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/issues) | [**💬讨论/Discussions**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/discussions) | [**⚔️竞技场/Ar
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General
PromptBeginner5 minmarkdown
SHA256
**为了保证文件的完整性，请一定要检查下列文件SHA256值的一致性。**
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General
PromptBeginner5 minmarkdown
[Chinese-LLaMA-Alpaca-3](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3) is launched!
[**🇨🇳中文**](./README.md) | [**🌐English**](./README_EN.md) | [**📖文档/Docs**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki) | [**❓提问/Issues**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/issues) | [**💬讨论/Discussions**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/discussions) | [**⚔️竞技场/Ar
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General
PromptBeginner5 minmarkdown
Apache License
Version 2.0, January 2004
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General
PromptBeginner5 minmarkdown
notebooks/** linguist-vendored
generic skill
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General
PromptBeginner5 minmarkdown
.DS_Store
*/.DS_Store
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General
PromptBeginner5 minmarkdown
ChatGLM3 Chat Format
To avoid injection attacks from user input, and to unify the input of Code Interpreter, Tool & Agent and other tasks, ChatGLM3 adopts a brand-new dialogue format.
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General
PromptBeginner5 minmarkdown
ChatGLM3
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General
PromptBeginner5 minmarkdown
ChatGLM3
<p align="center">
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General
PromptBeginner5 minmarkdown
ChatGLM3 对话格式
为了避免用户输入的注入攻击，以及统一 Code Interpreter，Tool & Agent 等任务的输入，ChatGLM3 采用了全新的对话格式。
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General
PromptBeginner5 minmarkdown
Low-Cost Deployment
By default, the model is loaded with FP16 precision, running the above code requires about 13GB of VRAM. If your GPU's VRAM is limited, you can try loading the model quantitatively, as follows:
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