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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99,105 skills indexed with the new KISS metadata standard.
In order to make the contribution process as smooth as possible, we have established some
generic skill
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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__pycache__/
<a href="README_EN.md">English</a> | 中文
English | <a href="README.md">中文</a>
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*/.DS_Store
generic skill
[**🇨🇳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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[**🇨🇳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
Version 2.0, January 2004
generic skill
*/.DS_Store
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.
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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finetune_demo/output
默认情况下,模型以 FP16 精度加载,运行上述代码需要大概 13GB 显存。如果你的 GPU 显存有限,可以尝试以量化方式加载模型,使用方法如下: