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Everyone is welcome to contribute, and we value everybody's contribution. Code contributions are not the only way to help the community. Answering questions, helping others, and improving the documentation are also immensely valuable.
- repo: https://github.com/astral-sh/ruff-pre-commit
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- repo: https://github.com/astral-sh/ruff-pre-commit
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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.
**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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Large language models have recently attracted an extremely large amount of
Qwen-7B uses BPE tokenization on UTF-8 bytes using the `tiktoken` package.
<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>
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。