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@yiakwy-xpu-ml-framework-team yiakwy-xpu-ml-framework-team commented Jul 1, 2025

add native bf16 to fp8 block-wise quant utility for NV E4M3 data type

Currently many toolkits do not support block-wise quantization, (see the recently raised llmcompressor issue PR#1475) and torch ao topics.

Since former release of DeepV3 (03-24), more and more entities are working on alignment of DeepSeekV3, and bf16 training is very handy in major training framework.

It is native to add this processing script here so that people can immediately quant the model from bf16.

Procedure how to use it

please see inference/README.md

Correctness Verification (H800 2x8 setting up)

setup model:

截屏2025-07-01 17 00 58

send a query

截屏2025-07-01 16 56 25

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yiakwy-xpu-ml-framework-team commented Jul 1, 2025

cc @enochkan @stack-heap-overflow

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