Chengxuan Wang

SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting

Vector Quantization (VQ) has emerged as a prominent weight compression technique, showcasing substantially lower quantization errors than uniform quantization across diverse models, particularly in extreme compression scenarios. However, its efficacy during fine-tuning is limited by the constraint o…