LoRA: Low-Rank Adaptation of Large Language Models We propose Low-Rank Adaptation, or LoRA, which freezes the pre-trained model weights and injects trainable rank decomposition matrices into each layer of the Transformer architecture, greatly reducing the number of trainable parameters for downstream tasks
LoRA: Low-Rank Adaptation of Large Language Models - GitHub LoRA: Low-Rank Adaptation of Large Language Models This repo contains the source code of the Python package loralib and several examples of how to integrate it with PyTorch models, such as those in Hugging Face