{"slug":"openlair-peft-fine-tuning","source_name":"openlair/peft-fine-tuning","name":"Openlair/Peft Fine Tuning","description":"Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.","version":1,"lift":{"pass_rate_delta_pts":9.09,"pass_rate_pct":100,"total_cases":22,"passed_cases":22,"tokens_delta_pct":209.6,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-07T19:15:00.038758+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":9.09,"with_pass_pct":100,"without_pass_pct":90.9,"tokens_delta_pct":209.6,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-07T19:15:00.038758+00:00","run_id":"da709fb0-7007-4874-9ee3-34af6a3722b3","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"8b7482c150424c27ea33a074ae854bf66bf4cbb8469ba82c8e3dc49d3b54af2e","raw_url":"https://app.decimal.ai/s/openlair-peft-fine-tuning/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/openlair-peft-fine-tuning"}