Quantization publisher

raicoon2k

raicoon2k publishes 3 quantizations across 1 models in our index, averaging 9.628 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
3
Models covered
1
Avg effective bpw
9.628
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantraicoon2kvsTheirsDifference
Crow-9B-HERETIC-4.6Q8_09.11 GiBmradermacher8.87 GiB+2.7%
Crow-9B-HERETIC-4.6Q4_K_M5.38 GiBmradermacher5.24 GiB+2.7%

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
Crow-9B-HERETIC-4.635.38 GiB