{"slug":"terminalskills-peft-fine-tuning","source_name":"terminalskills/peft-fine-tuning","name":"Terminalskills/Peft Fine Tuning","description":"Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when a user asks to fine-tune a language model, train a custom LLM, adapt a model to their data, use LoRA or QLoRA, fine-tune Llama or Mistral, or train a model on consumer GPUs. Covers PEFT methods for 7B-70B parameter models.","version":2,"lift":{"pass_rate_delta_pts":8.7,"pass_rate_pct":82.6,"total_cases":23,"passed_cases":19,"tokens_delta_pct":77,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-10-07T04:52:22.770666+00:00"},"skill_score":0.8261,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":8.7,"with_pass_pct":82.6,"without_pass_pct":73.9,"tokens_delta_pct":77,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":23,"verdict":"mixed","never_hurt":true,"completed_at":"2026-10-07T04:52:22.770666+00:00","run_id":"cc94fe15-6238-4057-9870-e44ec29478c3","latest_attempt":{"id":"2308d6b3-898a-47a0-a193-742908c049f6","runner_model":"gemini-3.6-flash","overall_verdict":"pass","completed_at":"2026-10-14T20:00:49.334345+00:00","gate":"not_comparable"},"version_number":1,"is_latest_version":false,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":null,"content_status":"clean","indexable":true},"license":"Apache-2.0","install_count":0,"total_uses":13,"total_users":1,"manifest_hash":"4334dba71ef3278c821ca0d9bb245c49ccd35342396e8dcf05eba02a8912a571","install_name":"terminalskills-peft-fine-tuning","version_id":"9e8f73e6-0a89-4012-aabc-4e4fe327e32f","body_sha256":"4334dba71ef3278c821ca0d9bb245c49ccd35342396e8dcf05eba02a8912a571","render_hash":"4b7d51a2cd15ac4217c1fb7a8e58bc867fe596c9c6bc80e523ff1ee84249042e","raw_url":"https://app.decimal.ai/s/terminalskills-peft-fine-tuning/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/terminalskills-peft-fine-tuning"}