Technical Discussion: Is Quinary Quantization on the Pareto Frontier?
georgejrjrjr · x · 2026-08-25
The post discusses the limits of bit-width in model quantization. Citing ZaZ & Thinky, the author argues that a single weight must store at least 2 bits of information, making 1.58b quantization inevitably lossy, while 2.3b might be sufficient.
The text mentions Intel China is fast-following Bonsai's quantization efforts, particularly regarding quinary quantization (2.32bpw). The author speculates that quinary quantization likely lies on the Pareto frontier and awaits the release of training code for verification.
Related event: Quinary quantization sparks debate on the precision-efficiency frontier(2 posts)→
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