PEFT
LoRA and friends from Hugging Face
Fine-tuningParameter-efficient fine-tuningApache-2.0Runs locallyPythonIntermediate
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What is PEFT?
PEFT is Hugging Face's library for parameter-efficient fine-tuning, implementing LoRA, QLoRA, adapters and more so you can adapt large models cheaply.
Why people choose PEFT
- Implements LoRA, QLoRA and adapters
- Tight Transformers integration
- Train big models on small hardware
PEFT at a glance
| Category | Fine-tuning |
| Type | Parameter-efficient fine-tuning |
| License | Apache-2.0 |
| Runs locally | Yes |
| Built with | Python |
| Skill level | Intermediate |
| Best for | cheap fine-tuning with LoRA/QLoRA |
Latest releases
Open-source alternatives to PEFT
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 UITRLAlign LLMs (SFT, DPO, PPO)
TorchtunePyTorch-native post-training, hackable recipes
Llama CookbookOfficial recipes to fine-tune Llama
ms-swiftFine-tune 500+ LLMs and VLMsPEFT head-to-head
PEFT vs UnslothPEFT vs AxolotlPEFT vs LLaMA-FactoryPEFT vs TRLPEFT vs TorchtunePEFT vs Llama CookbookPEFT vs ms-swift
FAQ
Is PEFT free?
PEFT is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.
Can I run PEFT locally?
Yes. PEFT is designed to run on your own machine or server, keeping your data private.
What is the best alternative to PEFT?
Popular open-source alternatives include Unsloth, Axolotl, LLaMA-Factory. See the comparisons above to choose.
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