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title: 'TRL: Transformers Reinforcement Learning'
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Leandro
family-names: von Werra
- given-names: Younes
family-names: Belkada
- given-names: Lewis
family-names: Tunstall
- given-names: Edward
family-names: Beeching
- given-names: Tristan
family-names: Thrush
- given-names: Nathan
family-names: Lambert
- given-names: Shengyi
family-names: Huang
- given-names: Kashif
family-names: Rasul
- given-names: Quentin
family-names: Gallouédec
repository-code: 'https://github.com/huggingface/trl'
abstract: >-
TRL (Transformers Reinforcement Learning) is an
open-source toolkit for aligning transformer models via
post-training. It provides practical, scalable
implementations of SFT, reward modeling, DPO, and GRPO
within the Hugging Face ecosystem.
keywords:
- transformers
- reinforcement learning
- preference optimization
- language model alignment
- post-training
license: Apache-2.0
version: '1.2'
date-released: '2020-03-27'
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