UniQuanF unifies uniform and binary-coding quantization, adding a learnable affine transform before binary-code mapping, and proves the two-step process collapses to one BCQ inference step at deployment.
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Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models
UniQuanF unifies uniform and binary-coding quantization, adding a learnable affine transform before binary-code mapping, and proves the two-step process collapses to one BCQ inference step at deployment.