Hugging Face TRL
Transformer reinforcement learning library for fine-tuning LLMs with PPO, DPO, and RLHF methods
18.5K
GitHub Stars
Free
Apache 2.0
RLHF
Specialized
Overview
TRL (Transformer Reinforcement Learning) is Hugging Face's library for fine-tuning language models using reinforcement learning methods including PPO, DPO, GRPO, and reward modeling. It integrates seamlessly with the Transformers ecosystem and Accelerate for distributed training.
The Verdict
Who Should Use Hugging Face TRL?
Best For
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Not Ideal For
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What's Great
- NotificationsYou must be signed in to change notification settings
- Fork2.8k
- Star18.5k
- Trainers: Various fine-tuning methods are easily accessible via trainers likeSFTTrainer,GRPOTrainer,
- Efficient and scalable:Leverages🤗 Accelerateto scale from single GPU to multi-node clusters using me
Pricing
Free
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Key Features
- NotificationsYou must be signed in to change notification settings
- Fork2.8k
- Star18.5k
- Trainers: Various fine-tuning methods are easily accessible via trainers likeSFTTrainer,GRPOTrainer,
- Efficient and scalable:Leverages🤗 Accelerateto scale from single GPU to multi-node clusters using me
- Leverages🤗 Accelerateto scale from single GPU to multi-node clusters using methods likeDDPandDeepSpe
Platforms
- [Add supported platforms]
How It Compares
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| Key Feature | — | — | — |
| Pricing | — | — | — |
| Best For | — | — | — |
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