Lora adapter

LoRA (Low-Rank Adaptation) adapter is a parameter-efficient technique used to fine-tune large language models by introducing trainable low-rank matrices into their layers. It allows models to adapt to new tasks with significantly fewer trainable parameters, preserving the original model weights and reducing computational cost. LoRA adapters are primarily targeted at researchers and developers looking to customize large pre-trained models for specific applications without incurring the resource demands of full fine-tuning. Ask ChatGPT

Lora adapter was discovered on July 17th 2025 and it currently has a search volume of 2.4K with a growth of +99X+.