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- repo: https://github.com/astral-sh/ruff-pre-commit
Copyright 2023 The HuggingFace Team. All rights reserved.
Copyright 2020 The HuggingFace Team. All rights reserved.
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To enable more open-source research on instruction following large language models, we use generate 52K instruction-followng demonstrations using OpenAI's text-davinci-003 model.
<img src="assets/logo.png" alt="Stanford-Alpaca" style="width: 50%; min-width: 300px; display: block; margin: auto;">
**Organization developing the model**
[](https://github.com/hiyouga/LLaMA-Factory/stargazers)
[](https://github.com/hiyouga/LLaMA-Factory/stargazers)
- repo: https://github.com/pre-commit/pre-commit-hooks
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Qwen-7B は `tiktoken` パッケージを使用して、UTF-8 バイトを BPE トークン化します。
<a href="README_CN.md">中文</a>  |  <a href="README.md">English</a>  |  日本語 |  <a href="README_FR.md">Français</a> |  <a href="README_ES.md">Español</a>
Large language models have recently attracted an extremely large amount of
> 注:作为术语的“tokenization”在中文中尚无共识的概念对应,本文档采用英文表达以利说明。
Qwen-7B uses BPE tokenization on UTF-8 bytes using the `tiktoken` package.
中文</a>  |  <a href="README.md">English</a>  |  <a href="README_JA.md">日本語</a> |  <a href="README_FR.md">Français</a> |  <a href="README_ES.md">Español</a>
<a href="README_CN.md">中文</a>  |  <a href="README.md">English</a>  |  <a href="README_JA.md">日本語</a>  |  Français |  <a href="README_ES.md">Español</a>
<a href="README_CN.md">中文</a>  |  <a href="README.md">English</a>  |  <a href="README_JA.md">日本語</a> |  <a href="README_FR.md">Français</a> |  Español
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.**