MUXQ: Mixed-to-Uniform Precision MatriX Quantization via Low-Rank Outlier Decomposition explores MUXQ is a novel quantization technique that effectively handles activation outliers in LLMs, enabling efficient INT8 inference on edge devices with minimal accuracy loss.. Commercial viability score: 7/10 in LLM Quantization.
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REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/muxq-mixed-to-uniform-precision-matrix-quantization-via-low-rank-outlier-decompositionMCP example
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}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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