Quantization publisher

Medvedko

Medvedko publishes 2 quantizations across 2 models in our index, averaging 4.838 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
4.838
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantMedvedkovsTheirsDifference
Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETICQ4_K_M6.96 GiBmradermacher6.96 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