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Framework

TRL

TRL is an open-source AI framework from Hugging Face, launched in 2020, made for developers.

A library for post-training language models with SFT, DPO, GRPO and other methods.

Main jobs: Fine-tuning. It is open source and free to use. You can use it on your own server, offline on your own machine and in the terminal.

Visit hf.co

Markdown version of https://godooo.ai/en/framework/trl. Every page on this site has one: add .md to its address.

At a glance

Launched
2020
Open source
Yes · Apache-2.0
GitHub stars
19,377
How you run it
Self-host · Runs offline · Terminal
Made for
Developers
Website
hf.co
Also known as
Transformers Reinforcement Learning

What it can do

  • Fine-tuningmain jobunconfirmed

    “TRL is a cutting-edge library designed for post-training foundation models using advanced techniques like Supervised Fine-Tuning (SFT), Group Relative Policy Optimization (GRPO), and Direct Preference Optimization (DPO).”— github.com, 2026-09-24
  • Model trainingsupportedunconfirmed

    “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.”— huggingface.co, 2026-09-24

unconfirmedproposed by a machine, awaiting calibration

Alternatives

Connections

Applies
RLHF
Built with
Transformers

Questions

What is TRL?

TRL is an open-source AI framework from Hugging Face, launched in 2020, made for developers. A library for post-training language models with SFT, DPO, GRPO and other methods.

Is TRL free?

Yes. TRL is open source (Apache-2.0) and free to use.

Is TRL open source?

Yes, under the Apache-2.0 license. The source code is at https://github.com/huggingface/trl.

Can TRL run locally?

Yes. TRL can run offline on your own machine. It can also be self-hosted on your own server.

What can TRL do?

Main jobs: Fine-tuning. It can also do: Model training.

Who makes TRL?

TRL is made by Hugging Face.

What are open-source alternatives to TRL?

Open-source ones: nanoGPT, Kohya's GUI, LlamaFactory, Unsloth, Axolotl, MLX, PEFT and ModelScope. Others: Hugging Face, Together AI and Modal.

Sources