Add peft - #3334

Project

peft

Checklist

• I read CONTRIBUTING.md - awesome-python is a shortlist, not a catalog
• One project per PR
• PR title format: Add project-name
• Entry format: - [pypi-name](https://github.com/owner/repo) - Description ending with period.
• Display name is the PyPI package name
• Placed in an existing use case (new sections and subcategories are maintainer-only)
• Meets all Quality Requirements: active, stable, documented, at least 1 month old

Which Tier

Pick one:

• Obvious choice - a tool an experienced Python developer would name when asked "what do I use for this?"
• Challenger - not yet the obvious choice, but a credible successor to one. Give adoption-trajectory evidence, not popularity alone.

Explain:

PEFT is Hugging Face's official library for parameter-efficient fine-tuning of pretrained models. It is an established and actively maintained part of the Hugging Face training ecosystem and supports widely used parameter-efficient adaptation methods including LoRA.

Using ClickPy, the same download-data source used by this repository, the current last-30-day counts are:

• peft: 9818213
• unsloth: 1765907
• axolotl: 11566

The entry is therefore placed first in the Fine-tuning use case according to the repository's download-based ordering rule.

Displacement

Not needed. Fine-tuning currently has two entries; adding peft brings it to three, below the five-entry hard maximum.