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flash attention是一个用于加速模型训练推理的可选项,且仅适用于Turing、Ampere、Ada、Hopper架构的Nvidia GPU显卡(如H100、A100、RTX 3090、T4、RTX 2080),您可以在不安装flash attention的情况下正常使用模型进行推理。
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flash attention是一个用于加速模型训练推理的可选项,且仅适用于Turing、Ampere、Ada、Hopper架构的Nvidia GPU显卡(如H100、A100、RTX 3090、T4、RTX 2080),您可以在不安装flash attention的情况下正常使用模型进行推理。
*.so
*.so
**/test
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*.swp
*Read this in [English](README_en.md).*
*[中文README](README.md).*
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
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[**🇨🇳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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*/.DS_Store
generic skill
Version 2.0, January 2004
[**🇨🇳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
[**🇨🇳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