Data Science & Analytics

PEFT Fine Tuning

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.

Publisher / source

TerminalSkills Library

Upstream record

TerminalSkills/skills

Version

Version 4

Published

2026-05-06

Publication review

Approved for publication

Content fingerprint

1fd5fba46d3060391719a163ed974af33d34adead1bbd324b331186a03088d22