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PEFT

Parameter-efficient fine-tuning methods behind one interface.

library Frameworks LLM Apache-2.0 3 relationships

Aperçu

PEFT collects the parameter-efficient fine-tuning methods - LoRA and its variants, prompt tuning, adapters - behind one interface so they can be attached to a pretrained model without rewriting training code. It solves a practical problem rather than a conceptual one: the methods exist in papers, and each arrives with its own implementation until somebody unifies them. It exists because most people adapting a model want the method, not the plumbing, and it is what made adapters interchangeable.

Graphe des technologies

Comment PEFT se rattache au reste de la pile.

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