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…
Read the full story at arXiv cs.CL ↗
Timeline · 1 report
- 2026-10-20 04:00 · arXiv cs.CL
What Matters for NVFP4 Training? A Comparative Study of Low-Precision Pretraining Recipes