AI RESEARCH
Unveiling the Potential of Quantization with MXFP4: Strategies for Quantization Error Reduction
arXiv CS.AI
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ArXi:2603.08713v1 Announce Type: cross Large Language Models (LLMs) have intensified the need for low-precision formats that enable efficient, large-scale inference. The Open Compute Project (OCP) Microscaling (MX) standard is attractive due to its favorable hardware efficiency, but its 4-bit variant (MXFP4) lags behind NVIDIA's NVFP4 in accuracy, limiting adoption. We