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# TRL - Transformer Reinforcement Learning | |
TRL is a full stack library where we provide a set of tools to train transformer language models with methods like Supervised Fine-Tuning (SFT), Group Relative Policy Optimization (GRPO), Direct Preference Optimization (DPO), Reward Modeling, and more. | |
The library is integrated with π€ [transformers](https://github.com/huggingface/transformers). | |
You can also explore TRL-related models, datasets, and demos in the [TRL Hugging Face organization](https://huggingface.co/trl-lib). | |
## Learn | |
Learn post-training with TRL and other libraries in π€ [smol course](https://github.com/huggingface/smol-course). | |
## Contents | |
The documentation is organized into the following sections: | |
- **Getting Started**: installation and quickstart guide. | |
- **Conceptual Guides**: dataset formats, training FAQ, and understanding logs. | |
- **How-to Guides**: reducing memory usage, speeding up training, distributing training, etc. | |
- **Integrations**: DeepSpeed, Liger Kernel, PEFT, etc. | |
- **Examples**: example overview, community tutorials, etc. | |
- **API**: trainers, utils, etc. | |
## Blog posts | |
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<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/blog/vllm-colocate"> | |
<img src="https://raw.githubusercontent.com/huggingface/blog/main/assets/vllm-colocate/thumbnail.png" alt="thumbnail" class="mt-0"> | |
<p class="text-gray-500 text-sm">Published on June 3, 2025</p> | |
<p class="text-gray-700">NO GPU left behind: Unlocking Efficiency with Co-located vLLM in TRL</p> | |
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<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/blog/liger-grpo"> | |
<img src="https://raw.githubusercontent.com/huggingface/blog/main/assets/liger-grpo/thumbnail.png" alt="thumbnail" class="mt-0"> | |
<p class="text-gray-500 text-sm">Published on May 25, 2025</p> | |
<p class="text-gray-700">π― Liger GRPO meets TRL</p> | |
</a> | |
<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/blog/open-r1"> | |
<img src="https://raw.githubusercontent.com/huggingface/blog/main/assets/open-r1/thumbnails.png" alt="thumbnail" class="mt-0"> | |
<p class="text-gray-500 text-sm">Published on January 28, 2025</p> | |
<p class="text-gray-700">Open-R1: a fully open reproduction of DeepSeek-R1</p> | |
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<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/blog/dpo_vlm"> | |
<img src="https://raw.githubusercontent.com/huggingface/blog/main/assets/dpo_vlm/thumbnail.png" alt="thumbnail" class="mt-0"> | |
<p class="text-gray-500 text-sm">Published on July 10, 2024</p> | |
<p class="text-gray-700">Preference Optimization for Vision Language Models with TRL</p> | |
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<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/blog/putting_rl_back_in_rlhf_with_rloo"> | |
<img src="https://raw.githubusercontent.com/huggingface/blog/main/assets/putting_rl_back_in_rlhf_with_rloo/thumbnail.png" alt="thumbnail" class="mt-0"> | |
<p class="text-gray-500 text-sm">Published on June 12, 2024</p> | |
<p class="text-gray-700">Putting RL back in RLHF</p> | |
</a> | |
<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/blog/trl-ddpo"> | |
<img src="https://raw.githubusercontent.com/huggingface/blog/main/assets/166_trl_ddpo/thumbnail.png" alt="thumbnail" class="mt-0"> | |
<p class="text-gray-500 text-sm">Published on September 29, 2023</p> | |
<p class="text-gray-700">Finetune Stable Diffusion Models with DDPO via TRL</p> | |
</a> | |
<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/blog/dpo-trl"> | |
<img src="https://raw.githubusercontent.com/huggingface/blog/main/assets/157_dpo_trl/dpo_thumbnail.png" alt="thumbnail" class="mt-0"> | |
<p class="text-gray-500 text-sm">Published on August 8, 2023</p> | |
<p class="text-gray-700">Fine-tune Llama 2 with DPO</p> | |
</a> | |
<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/blog/stackllama"> | |
<img src="https://raw.githubusercontent.com/huggingface/blog/main/assets/138_stackllama/thumbnail.png" alt="thumbnail" class="mt-0"> | |
<p class="text-gray-500 text-sm">Published on April 5, 2023</p> | |
<p class="text-gray-700">StackLLaMA: A hands-on guide to train LLaMA with RLHF</p> | |
</a> | |
<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/blog/trl-peft"> | |
<img src="https://raw.githubusercontent.com/huggingface/blog/main/assets/133_trl_peft/thumbnail.png" alt="thumbnail" class="mt-0"> | |
<p class="text-gray-500 text-sm">Published on March 9, 2023</p> | |
<p class="text-gray-700">Fine-tuning 20B LLMs with RLHF on a 24GB consumer GPU</p> | |
</a> | |
<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/blog/rlhf"> | |
<img src="https://raw.githubusercontent.com/huggingface/blog/main/assets/120_rlhf/thumbnail.png" alt="thumbnail" class="mt-0"> | |
<p class="text-gray-500 text-sm">Published on December 9, 2022</p> | |
<p class="text-gray-700">Illustrating Reinforcement Learning from Human Feedback</p> | |
</a> | |
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