Quantization publisher

kmaurinjones

kmaurinjones publishes 4 quantizations across 1 models in our index, averaging 8.933 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 1 of the pairs we can compare — the same label does not mean the same file.

From the file· summed file bytes
Repositories
1
Quantizations
4
Models covered
1
Avg effective bpw
8.933
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantkmaurinjonesvsTheirsDifference
Llama-3.2-1BQ8_01.23 GiBSheikhaei1.23 GiB0.0%

A quantization label describes a target, not a recipe. Publishers make different choices about which tensors to keep at higher precision, and some apply an importance matrix while others don't — so two files both honestly labelled the same thing can differ measurably in size and in quality.

Models they publish

ModelQuantizationsSmallest
Llama-3.2-1B40.75 GiB