---
title: "peft"
type: "tool"
slug: "huggingface-peft"
canonical_url: "https://www.graphcanon.com/tools/huggingface-peft"
github_url: "https://github.com/huggingface/peft"
homepage_url: "https://huggingface.co/docs/peft"
stars: 21385
forks: 2385
primary_language: "Python"
license: "Apache-2.0"
archived: false
categories: ["llm-frameworks", "model-training"]
tags: ["adapter", "diffusion", "fine-tuning", "llm", "lora", "parameter-efficient-learning", "peft", "python"]
updated_at: "2026-07-12T04:05:45.969134+00:00"
---

# peft

> State-of-the-art Parameter-Efficient Fine-Tuning

🤗 PEFT provides state-of-the-art methods for efficient parameter fine-tuning in large models.

## Facts

- Repository: https://github.com/huggingface/peft
- Homepage: https://huggingface.co/docs/peft
- Stars: 21,385 · Forks: 2,385 · Open issues: 62 · Watchers: 112
- Primary language: Python
- License: Apache-2.0
- Last pushed: 2026-07-10T12:51:41+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Very active (computed 2026-07-11T11:36:59.978Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T11:37:00.765Z
- Full report: [trust report](/tools/huggingface-peft/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/huggingface-peft/trust)

## Categories

- [LLM Frameworks](/categories/llm-frameworks.md)
- [Model Training](/categories/model-training.md)

## Tags

adapter, diffusion, fine-tuning, llm, lora, parameter-efficient-learning, peft, python

## Category neighbours (exploratory)

_Same-category tools for discovery only - not curated alternatives. Cap shown at six._

- [llmfit](/tools/alexsjones-llmfit.md) - Hundreds of models & providers. One command to find what runs on your hardware. (★ 29,280) [Very active]
- [airllm](/tools/lyogavin-airllm.md) - AirLLM 70B inference with single 4GB GPU (★ 22,399) [Very active]
- [opik](/tools/comet-ml-opik.md) - Debug, evaluate, and monitor your LLM applications with comprehensive tracing and production-ready dashboards (★ 20,533) [Very active]
- [Megatron-LM](/tools/nvidia-megatron-lm.md) - Ongoing research training transformer models at scale (★ 17,020) [Very active]
- [litgpt](/tools/lightning-ai-litgpt.md) - High-performance LLMs with recipes for pretraining, finetuning and deployment (★ 13,473) [Very active]
- [open-llms](/tools/eugeneyan-open-llms.md) - A list of open LLMs available for commercial use. (★ 12,825) [Dormant]

_+ 2 more not listed._

## Adoption goal

PEFT focuses on advanced techniques for efficiently tuning parameters in large models with Python.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/huggingface-peft`](/api/graphcanon/tools/huggingface-peft)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_