QEFT: Quantization for Efficient Fine-Tuning of LLMs

Changhun Lee, Jun-gyu Jin, Younghyun Cho +1

With the rapid growth in the use of fine-tuning for large language models (LLMs), optimizing fine-tuning while keeping inference efficient has become highly important. However, thi…