{"slug":"graniet-peft","source_name":"graniet/peft","name":"Graniet/Peft","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":4.55,"pass_rate_pct":100,"total_cases":22,"passed_cases":22,"tokens_delta_pct":222.3,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-23T05:12:54.673617+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":4.55,"with_pass_pct":100,"without_pass_pct":95.5,"tokens_delta_pct":222.3,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-23T05:12:54.673617+00:00","run_id":"6d0d9198-3584-4954-b885-fdf603e0d124","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":"78698ba02c653d4dc0300729576b53e46267043f39a6b9eb0a368d3ae27b619d","raw_url":"https://app.decimal.ai/s/graniet-peft/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/graniet-peft"}