General
PromptBeginner5 minmarkdown
<p align="center" width="100%">
<img src="assets/logo.png" alt="Stanford-Alpaca" style="width: 50%; min-width: 300px; display: block; margin: auto;">
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General
PromptBeginner5 minmarkdown
Byte-compiled / optimized / DLL files
__pycache__/
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General
PromptBeginner5 minmarkdown
[](https://github.com/hiyouga/LLaMA-Factory/stargazers)
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General
PromptBeginner5 minmarkdown
[](https://github.com/hiyouga/LLaMA-Factory/stargazers)
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General
PromptBeginner5 minmarkdown
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
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General
PromptBeginner5 minmarkdown
Auto detect text files and perform LF normalization
* text=auto
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General
PromptBeginner5 minmarkdown
Byte-compiled / optimized / DLL files
__pycache__/
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General
PromptBeginner5 minmarkdown
.vscode
.git
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General
PromptBeginner5 minmarkdown
Tokenization
Qwen-7B uses BPE tokenization on UTF-8 bytes using the `tiktoken` package.
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General
PromptBeginner5 minmarkdown
<p align="left">
<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>
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General
PromptBeginner5 minmarkdown
Tokenization
> 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。
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General
PromptBeginner5 minmarkdown
トークン化
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。
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General
PromptBeginner5 minmarkdown
Introducing Qwen-7B: Open foundation and human-aligned models (of the state-of-the-arts)
Large language models have recently attracted an extremely large amount of
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General
PromptBeginner5 minmarkdown
<p align="left">
<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>
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General
PromptBeginner5 minmarkdown
<p align="left">
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>
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General
PromptBeginner5 minmarkdown
<p align="left">
<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
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General
PromptBeginner5 minmarkdown
FAQ
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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General
PromptBeginner5 minmarkdown
FAQ
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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General
PromptBeginner5 minmarkdown
FAQ
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。
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General
PromptBeginner5 minmarkdown
<p align="left">
<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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General
PromptBeginner5 minmarkdown
__pycache__
*.so
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General
PromptBeginner5 minmarkdown
__pycache__
*.so
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General
PromptBeginner5 minmarkdown
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
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General
PromptBeginner5 minmarkdown
Project Specification #####
**/test
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