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+The peft module contains state-of-the-art Parameter-Efficient Fine-Tuning
+(PEFT) methods.
+
+Fine-tuning large pretrained models is often prohibitively costly due to their
+scale. Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient
+adaptation of large pretrained models to various downstream applications by only
+fine-tuning a small number of (extra) model parameters instead of all the
+model's parameters. This significantly decreases the computational and storage
+costs. Recent state-of-the-art PEFT techniques achieve performance comparable to
+fully fine-tuned models.
+
+PEFT is integrated with Transformers for easy model training and inference,
+Diffusers for conveniently managing different adapters, and Accelerate for
+distributed training and inference for really big models.