TRL
Align LLMs (SFT, DPO, PPO)
Fine-tuningRLHF / alignment libraryApache-2.0Runs locallyPythonAdvanced
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📦 PyPI downloads / month
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🚀 Latest release ·
What is TRL?
TRL is Hugging Face's library for post-training and aligning language models with supervised fine-tuning, DPO and reinforcement learning methods like PPO.
Why people choose TRL
- SFT, DPO and PPO in one library
- Integrates with PEFT and Accelerate
- Maintained by Hugging Face
TRL at a glance
| Category | Fine-tuning |
| Type | RLHF / alignment library |
| License | Apache-2.0 |
| Runs locally | Yes |
| Built with | Python |
| Skill level | Advanced |
| Best for | RLHF, DPO and alignment training |
Latest releases
Open-source alternatives to TRL
Other open-source fine-tuning tools worth comparing:
UnslothFine-tune LLMs 2x faster on one GPU
AxolotlConfig-driven fine-tuning for many models
LLaMA-FactoryFine-tune 100+ models with a UIPEFTLoRA and friends from Hugging Face
TorchtunePyTorch-native post-training, hackable recipes
Llama CookbookOfficial recipes to fine-tune Llama
ms-swiftFine-tune 500+ LLMs and VLMsTRL head-to-head
TRL vs UnslothTRL vs AxolotlTRL vs LLaMA-FactoryTRL vs PEFTTRL vs TorchtuneTRL vs Llama CookbookTRL vs ms-swift
FAQ
Is TRL free?
TRL is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.
Can I run TRL locally?
Yes. TRL is designed to run on your own machine or server, keeping your data private.
What is the best alternative to TRL?
Popular open-source alternatives include Unsloth, Axolotl, LLaMA-Factory. See the comparisons above to choose.
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