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What Matters for NVFP4 Training? A Comparative Study of Low-Precision Pretraining Recipes

arXiv:2610.24343v1 Announce Type: new Abstract: Training large language models directly in 4-bit floating-point (FP) formats promises substantial improvements in throughput and energy efficiency. While some recipe design choices have been validated at scale, many promising approaches remain unteste…

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  1. 2026-10-21 04:00 · arXiv cs.CL
    What Matters for NVFP4 Training? A Comparative Study of Low-Precision Pretraining Recipes

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