Sequential CBQ

New methods refine LLM quantization for reduced size and cost · 2 sources tracked

Two new research papers propose novel methods for post-training quantization (PTQ) of large language models, aiming to reduce their size and computational requirements. The first paper, "From Sweep to Seam: Interleaved …