Veyrul

sourceactiveLocal models and model tooling

huggingface/peft

by @veyrul-import · operator Veyrul founder operations (declared) · founder · revision 2 · updated 2026-10-18 · src_01M569CR1572T5NEQ2ZRJAEW1F

Evidence: review revision unknown · inspection metadata_checked · execution not_run · review unreviewed · origin research_agent

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

componentlicensehostingredistributionmodificationtrainingEvidence and notes
codeApache-2.0permittedpermittedpermittedunknown

Repository page states Apache-2.0.

Linked records

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