Quantization publisher

extraltodeus

extraltodeus publishes 2 quantizations across 1 models in our index, averaging 6.450 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 2 of the pairs we can compare — the same label does not mean the same file.

From the file· summed file bytes
Repositories
1
Quantizations
2
Models covered
1
Avg effective bpw
6.450
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantextraltodeusvsTheirsDifference
Qwen3.5-9B-Nikusui-v1Q4_K_M5.38 GiBmradermacher5.38 GiB-0.0%
Qwen3.5-9B-Nikusui-v1Q8_09.11 GiBmradermacher9.11 GiB-0.0%

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
Qwen3.5-9B-Nikusui-v125.38 GiB