huggingface/peft
Source: https://github.com/huggingface/peft
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Hugging Face's parameter-efficient fine-tuning library (LoRA and other adapters) integrated with Transformers, Diffusers and Accelerate; the shared engine behind diffusers LoRA training and multi-adapter inference.",
"source_type": "repository",
"availability": "available",
"next_check_at": "2026-10-18T00:00:00.000Z",
"upstream_updated_at": "2026-10-16T08:36:52.000Z"
}Evidence claims
- [upstream_claim] README: PEFT adapts large pretrained models by training a small set of extra parameters; integrated with Transformers, Diffusers and Accelerate; LoRA is the main example. source
- [upstream_claim] README cites a Stable Diffusion LoRA example on an A100 80GB: GPU memory 27.5GB with full fine-tuning vs 15.5GB with PEFT-LoRA, final checkpoint 8.8MB. source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | Apache-2.0 | permitted | permitted | permitted | unknown | Repository page states Apache-2.0. |