Quantization publisher
artokun
artokun publishes 5 quantizations across 1 models in our index, averaging 3.595 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 3 of the pairs we can compare — the same label does not mean the same file.
From the file· summed file bytes
Repositories
1
Quantizations
5
Models covered
1
Avg effective bpw
3.595
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | artokun | vs | Theirs | Difference |
|---|---|---|---|---|---|
| gemma-4-12B-it-heretic | Q5_K_M | 5.37 GiB | JMingo | 7.84 GiB | -31.5% |
| gemma-4-12B-it-heretic | Q4_K_M | 4.97 GiB | JMingo | 6.63 GiB | -25.1% |
| gemma-4-12B-it-heretic | Q4_K_M | 6.87 GiB | JMingo | 6.63 GiB | +3.6% |
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
| Model | Quantizations | Smallest |
|---|---|---|
| gemma-4-12B-it-heretic | 5 | 3.19 GiB |