arxiv
PublishedMay 27, 2026 at 4:00 AM
—neutral
Max-Window Scale Estimation for Near-Lossless HiF8 W8A8 Quantization-Aware Training
Publisher summary· verbatim
arXiv:2605.26189v1 Announce Type: cross Abstract: Quantization-aware training (QAT) with low-bit floating-point formats enables efficient LLM deployment, yet introduces subtle failure modes invisible to standard training metrics. We present a systematic study of HiF8 W8A8 QAT for OpenPangu-Embedded-
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Originally published on arxiv ↗