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Framework

PEFT

PEFT is an open-source AI framework from Hugging Face, launched in 2022, made for developers.

A library for fine-tuning large models by training only a small set of extra parameters.

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

Visit huggingface.co

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At a glance

Launched
2022
Open source
Yes · Apache-2.0
GitHub stars
21,724
How you run it
Runs offline · Self-host · API
Made for
Developers
Website
huggingface.co

What it can do

  • Fine-tuningmain jobunconfirmed

    “Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of large pretrained models to various downstream applications by only fine-tuning a small number of (extra) model parameters instead of all the model's parameters.”— github.com, 2026-09-24

unconfirmedproposed by a machine, awaiting calibration

Alternatives

Connections

Applies
LoRA
Integrates with
Transformers

Questions

What is PEFT?

PEFT is an open-source AI framework from Hugging Face, launched in 2022, made for developers. A library for fine-tuning large models by training only a small set of extra parameters.

Is PEFT free?

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

Is PEFT open source?

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

Can PEFT run locally?

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

What can PEFT do?

Main jobs: Fine-tuning.

Who makes PEFT?

PEFT is made by Hugging Face.

What are open-source alternatives to PEFT?

Open-source ones: Axolotl, Kohya's GUI, LlamaFactory, nanoGPT, TRL, Unsloth, ModelScope and GPT-SoVITS. Others: Hugging Face, OpenAI Platform, fal and LiblibAI 哩布哩布.

Sources