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<a href="README_CN.md">中文</a>  |  English  |  <a href="README_JA.md">日本語</a> |  <a href="README_FR.md">Français</a> |  <a href="README_ES.md">Español</a>
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121,984 skills indexed with the new KISS metadata standard.
<a href="README_CN.md">中文</a>  |  English  |  <a href="README_JA.md">日本語</a> |  <a href="README_FR.md">Français</a> |  <a href="README_ES.md">Español</a>
Flash attention is an option for accelerating training and inference. Only NVIDIA GPUs of Turing, Ampere, Ada, and Hopper architecture, e.g., H100, A100, RTX 3090, T4, RTX 2080, can support flash attention. **You can use our models without installing it.**
*.so
*.so
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*[中文README](README.md).*
*Read this in [English](README_en.md).*
In order to make the contribution process as smooth as possible, we have established some
*.swp
generic skill
We are happy to accept your contributions to make this repo better and more awesome! To avoid unnecessary work on either
__pycache__/
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English | <a href="README.md">中文</a>
<a href="README_EN.md">English</a> | 中文
[**🇨🇳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) | [**⚔️
[**🇨🇳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) | [**⚔️
generic skill
*/.DS_Store
[**🇨🇳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