project

ShadowPEFT

Parameter-efficient fine-tuning method in which a compact trainable shadow network carries its own hidden state alongside a frozen base model and can be detached to run as a standalone predictor.

Current clusters

build1 publisher

ShadowPEFT reaches PEFT's main branch as an adapter that keeps its own hidden state

ShadowPEFT is in Hugging Face PEFT's main branch as of a September 15th announcement, and it carries its own hidden state and can be detached as a smaller standalone model. Trying it means installing PEFT from source.

Publishers:runtimewire.com

Reality

Evidence58
Adoption20
Hype gap+10
Incentives65
Confidence57