PEFT
Hugging Face library for parameter-efficient fine-tuning
About
PEFT is the Hugging Face library for parameter-efficient fine-tuning of large pretrained models. It implements LoRA, prefix tuning, prompt tuning, P-tuning, IA3, adapter-based methods, and several newer techniques behind a small wrapper API that integrates with Transformers, Diffusers, and Accelerate. The library lets users adapt a model to a new task while training only a small fraction of its parameters. Apache 2.0 licensed.
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Details
- Category
- Datasets & Training
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- Apache-2.0
- Minimum VRAM
- 8 GB
- Added
- Jan 29, 2026
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