Quantization publisher
tnhnyzc
tnhnyzc publishes 4 quantizations across 1 models in our index, averaging 4.079 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 2 of the pairs we can compare — the same label does not mean the same file.
From the file· summed file bytes
Repositories
1
Quantizations
4
Models covered
1
Avg effective bpw
4.079
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | tnhnyzc | vs | Theirs | Difference |
|---|---|---|---|---|---|
| MiMo-V2.5 | Q6_K | 238.46 GiB | bartowski | 249.18 GiB | -4.3% |
| MiMo-V2.5 | IQ2_XXS | 79.83 GiB | bartowski | 77.87 GiB | +2.5% |
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 |
|---|---|---|
| MiMo-V2.5 | 4 | 79.83 GiB |