LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection 事件

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection arXiv:2606.04050v1 Announce Type: cross Abstract: Existing quantization methods are fundamentally limited by rigid, integer-based bit-widths (e.g., 2, 3-bit), resulting in a ``deployment gap" where Large Language Models cannot be optimally fitted to specific memory budgets. To bridge this gap, we introduce LiftQuant, a novel framework that enables continuous bit-width control for true Pareto-optimal deployment. The core