General
PromptBeginner5 minmarkdown
TRL - Transformer Reinforcement Learning
<div style="text-align: center">
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General
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<!---
Copyright 2023 The HuggingFace Team. All rights reserved.
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General
PromptBeginner5 minmarkdown
Byte-compiled / optimized / DLL files
__pycache__/
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General
PromptBeginner5 minmarkdown
repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
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General
PromptBeginner5 minmarkdown
<!---
Copyright 2020 The HuggingFace Team. All rights reserved.
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General
PromptBeginner5 minmarkdown
Byte-compiled / optimized / DLL files
__pycache__/
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General
PromptBeginner5 minmarkdown
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<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
Alpaca Instruction Following Dataset
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.
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General
PromptBeginner5 minmarkdown
Alpaca Model Card
**Organization developing the model**
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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
[](https://github.com/hiyouga/LLaMA-Factory/stargazers)
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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
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>  ｜  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
<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">
<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
<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
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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