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Exploring HiFloat8: A Tapered Format Complementing the FP8 Ecosystem for Robust Model T...

name:Y. Zhao
links:none on file
slides:none on file

Introduces HiFloat8 (HiF8), a tapered 8-bit floating format designed to handle neural network weight/gradient distributions and high-magnitude outliers with less aggressive scaling than standard FP8. Covers integration and evaluation of HiF8 in vllm and DeepSpeed on GPUs, reports training-stability and final-loss comparisons showing similar accuracy to FP16 with 1.5–1.7× GEMM performance, and discusses ongoing work toward dedicated hardware support.

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