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Hong-Liang Li

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HiFloat4 Format for Language Model Pre-training on Ascend NPUs

It is argued that numerical format design is itself a first-class lever for stable FP4 training, and the first systematic study of FP4 LLM pretraining on energy-efficient Huawei Ascend NPUs is presented.

Mehran Taghian, Yun Peng, Xing Huang et al. · 3 citations
Jul 2026

Stable FP4 Training via Transposition-Invariant Block Quantization

This work proposes a low-precision training framework based on 2D block FP4 quantization, which enforces transposition-invariant scaling and preserves consistency between forward and backward computations, and combines this with truncation-free scaling and stochastic rounding to control quantization error and maintain...

Mehdi Rahimifar, Amin Darabi, Mehran Taghian Jazi et al. · 2 citations

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