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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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125,718 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 は、トレーニングと推論を加速するオプションです。H100、A100、RTX 3090、T4、RTX 2080 などの Turing、Ampere、Ada、および Hopper アーキテクチャの NVIDIA GPU だけが、flash attention をサポートできます。それをインストールせずに私たちのモデルを使用することができます。
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.**
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In order to make the contribution process as smooth as possible, we have established some
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*[中文README](README.md).*
*Read this in [English](README_en.md).*
generic skill
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We are happy to accept your contributions to make this repo better and more awesome! To avoid unnecessary work on either
<a href="README_EN.md">English</a> | 中文
English | <a href="README.md">中文</a>
[**🇨🇳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) | [**⚔️
*/.DS_Store
generic skill
Version 2.0, January 2004