Quantization publisher
desirel
desirel publishes 14 quantizations across 1 models in our index, averaging 5.771 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 6 of the pairs we can compare — the same label does not mean the same file.
From the file· summed file bytes
Repositories
1
Quantizations
14
Models covered
1
Avg effective bpw
5.771
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | desirel | vs | Theirs | Difference |
|---|---|---|---|---|---|
| WAN2.2-14B-Rapid-AllInOne | Q8_0 | 16.44 GiB | befox | 17.37 GiB | -5.4% |
| WAN2.2-14B-Rapid-AllInOne | Q8_0 | 16.44 GiB | befox | 17.37 GiB | -5.4% |
| WAN2.2-14B-Rapid-AllInOne | Q6_K | 12.80 GiB | befox | 13.51 GiB | -5.3% |
| WAN2.2-14B-Rapid-AllInOne | Q6_K | 12.80 GiB | befox | 13.51 GiB | -5.3% |
| WAN2.2-14B-Rapid-AllInOne | Q2_K | 5.59 GiB | befox | 6.24 GiB | -10.3% |
| WAN2.2-14B-Rapid-AllInOne | Q2_K | 5.59 GiB | befox | 6.24 GiB | -10.3% |
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 |
|---|---|---|
| WAN2.2-14B-Rapid-AllInOne | 14 | 5.59 GiB |