2025
ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization
NeurIPS 2025poster
The optimal bit-width for achieving the best trade-off between quantized model size and accuracy has been a subject of ongoing debate. While some advocate for 4-bit quantization, others propose that 1.58-bit offers superior results. However, the lack of a cohesive framework for different bits has le…