Quantization publisher

catlilface

catlilface publishes 2 quantizations across 2 models in our index, averaging 9.424 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
2
Quantizations
2
Models covered
2
Avg effective bpw
9.424
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantcatlilfacevsTheirsDifference
Qwen3.6-35B-A3B-NVFP4-FastNVFP422.89 GiBFreedomAISVR18.81 GiB+21.7%

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
Qwen3.6-35B-A3B-NVFP4-Fast122.89 GiB
Gemma-4-26B-A4B-NVFP4116.46 GiB