From: huggingface <github.com/huggingface>Newsgroups: alt.freeweights.toolsSubject:

PEFT

Release: v0.21.3 (2026-11-13)Commit: 599e264License: Apache-2.0

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

trainingv0.21.3releasePEFTPythonApache-2.0
FactsLicenseApache-2.0LanguagePythonKindtrainingRelease2026-11-13PlatformsLinux, macOS, WindowsLinks to the projectpermissive
$ pip install peft
# use with Freeweights
# get_peft_model(AutoModelForCausalLM.from_pretrained("<id>"), LoraConfig(...))

Overview

Parameter-efficient fine-tuning methods such as LoRA.

Kind
training
License
Apache-2.0
Language
Python
Platforms
Linux, macOS, Windows
Latest release
v0.21.3 (2026-11-13)
Repository
huggingface/peft
Topicsadapterdiffusionfine-tuningllmloraparameter-efficient-learningpeftpythonpytorchtransformers

Freeweights links to the project and does not host tool binaries.

Install

$ pip install peft
# use with Freeweights
# get_peft_model(AutoModelForCausalLM.from_pretrained("<id>"), LoraConfig(...))
$ pip install peft

Checked against the project's README on 2026-11-14. The project's own instructions win when they differ: install docs

Freeweights links to the project and does not host tool binaries.

Use with Freeweights

Fine-tune a catalog model
$ # get_peft_model(AutoModelForCausalLM.from_pretrained("<id>"), LoraConfig(...))

Download the weights from Freeweights first (HF_ENDPOINT or fw.py), then point the tool at the folder.

Catalog models it can fine-tune (33)

License

License
Apache-2.0
Class
Permissive

Read the license

Freeweights links to the project and does not host tool binaries.

Provenance

From: huggingface <github.com/huggingface>Newsgroups: alt.freeweights.toolsSubject: PEFTRelease: v0.21.3 (2026-11-13)Commit: 599e264License: Apache-2.0
Repository
huggingface/peft
Pinned release
v0.21.3, 2026-11-13
Release commit
599e264cc9c62f93a7d6a0279b413b9c576812ca
Default branch
main 66a7c305bac9d7f8183b1f158280b77be971a3d4
Fetched
2026-11-14
Takedowns
None.

Freeweights links to the project and does not host tool binaries.

Works with

33 catalog models. See the list