ShadowPEFT is now integrated into Hugging Face's PEFT library as a parameter-efficient fine-tuning method. Unlike LoRA, which applies independent low-rank updates across weights, ShadowPEFT introduces a stateful shadow model that maintains persistent task-specific hidden state across layers, enabling bidirectional information flow between the frozen backbone and the trainable shadow network.