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MLOps

PEFT

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.

Enabled by defaultBuilt In
CLI install commandaegis skills install peft
Overview

Bundled with the packaged Aegis CLI as a built-in procedural skill.

Already ships inside the packaged Aegis bundle. Use `aegis skills install peft` only when you want an explicit local materialization record.