I think OP was referring to parameter size. You can make up for quantization by ... | Hacker News

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sroussey 5 months ago | parent | context | favorite | on: Towards 1-bit Machine Learning Models

I think OP was referring to parameter size. You can make up for quantization by having more parameters.

JHonaker 5 months ago [–]

I know. I was being a bit mean, but they seem to be implying that more parameters even with worse performance is preferable. That seems backward to me. There is no reason for parameter size to be intrinsically valuable, and I think people are a bit infatuated with it.

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