{"slug":"openraiser-peft-fine-tuning","source_name":"openraiser/peft-fine-tuning","name":"Openraiser/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":8.7,"pass_rate_pct":100,"total_cases":23,"passed_cases":23,"tokens_delta_pct":190.8,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-13T14:08:47.042623+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":8.7,"with_pass_pct":100,"without_pass_pct":91.3,"tokens_delta_pct":190.8,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":23,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-13T14:08:47.042623+00:00","run_id":"4be8bbc1-7c6a-49ac-bf8c-95fa1d6a03be","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":"58a0207974f8d12139a3a9d713fc8634ac737298552fbb8a59df331890023249","raw_url":"https://app.decimal.ai/s/openraiser-peft-fine-tuning/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/openraiser-peft-fine-tuning"}