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VisionMX: Unlocking Microscaling Post-Training Quantization for Vision Models
Microscaling (MX) formats are emerging as a hardware-supported approach to efficient training and inference. They combine low-precision elements with shared block scales, but their impact on vision models remains underexplored. We systematically investigate post-training MX quantization across visio
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