Quantization publisher
LoliRimuru
LoliRimuru publishes 2 quantizations across 1 models in our index, averaging 13.089 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
1
Quantizations
2
Models covered
1
Avg effective bpw
13.089
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | LoliRimuru | vs | Theirs | Difference |
|---|---|---|---|---|---|
| Qwen3.5-4B-SOMPOA-heresy-v2 | Q8_0 | 4.80 GiB | mradermacher | 4.17 GiB | +15.1% |
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 |
|---|---|---|
| Qwen3.5-4B-SOMPOA-heresy-v2 | 2 | 4.80 GiB |