arxiv
PublishedJuly 30, 2026 at 4:00 AM
—neutral
Stable FP4 Training via Transposition-Invariant Block Quantization
Publisher summary· verbatim
arXiv:2607.24953v1 Announce Type: cross Abstract: Reducing training precision is a key lever for improving the e ciency of large language model (LLM) training, but pushing beyond FP8 to 4-bit oating point (FP4) remains challenging due to instability during optimization. We identify a fundamental sou
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Originally published on arxiv ↗