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TRL - Transformers Reinforcement Learning

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We as members, contributors, and leaders pledge to make participation in our

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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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Alpaca Model Card

Organization developing the model

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- repo: https://github.com/pre-commit/pre-commit-hooks

!# LLaMA Factory

!# LLaMA Factory

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中文&nbsp ｜ &nbspEnglish&nbsp ｜ &nbsp日本語 ｜ &nbspFrançais ｜ &nbspEspañol

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

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。

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。

Tokenization

Qwen-7B uses BPE tokenization on UTF-8 bytes using the tiktoken package.

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中文&nbsp ｜ &nbspEnglish&nbsp ｜ &nbsp日本語 ｜ &nbspFrançais ｜ &nbspEspañol

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中文&nbsp ｜ &nbspEnglish&nbsp ｜ &nbsp日本語 ｜ &nbspFrançais ｜ &nbspEspañol