AI RESEARCH
LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection
arXiv CS.AI
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ArXi:2606.04050v1 Announce Type: cross 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