Inside The Machine
Fine-tuning
Fine-tuning

PEFT

LoRA and other parameter-efficient fine-tuning.

Teach a model your data and style.

—PENDING
Gap ScorePending test on Mac Studio
Where it sits
Catalog entryVerified it exists. Install steps not tested yet.
.md .json
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slug: "peft"
name: "PEFT"
kind: "repo"
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category: "finetune"
category_label: "Fine-tuning"
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homepage: "https://huggingface.co/docs/peft"
repo: "https://github.com/huggingface/peft"
license: "Apache-2.0"
stars: 21790
last_push: "2026-10-15"
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gap_score_status: "pending test on Mac Studio"
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---

# PEFT

**What:** LoRA and other parameter-efficient fine-tuning.

**Why:** Teach a model your data and style.

**Category:** Fine-tuning · **Stack layer:** model

## Status

Catalog entry. Existence and repo metadata checked 2026-10-15 via the GitHub API. Install commands below are auto-extracted from the README and have NOT been executed or verified. Read the README before running anything; prefer a sandbox or venv.

## Install (unverified)

1. [any] source: README (auto-extracted); status: unverified, not executed

```bash
pip install peft
```

## Verify

No verified check yet. Minimum: the install command exits 0 and the tool's own help/version flag runs (exact flag: see README).

## Rollback (unverified)

1. source: derived inverse of install command

```bash
pip uninstall -y peft
```

## Links

- Homepage: https://huggingface.co/docs/peft
- Repo: https://github.com/huggingface/peft
- README: https://github.com/huggingface/peft#readme