One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments

Ke Yi, Yuhui Xu, Heng Chang +4

Large Language Models (LLMs) have advanced rapidly but face significant memory demands. While quantization has shown promise for LLMs, current methods typically require lengthy tra…