Quantization publisher
VlSav
VlSav publishes 2 quantizations across 1 models in our index, averaging 6.695 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
2
Quantizations
2
Models covered
1
Avg effective bpw
6.695
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | VlSav | vs | Theirs | Difference |
|---|---|---|---|---|---|
| Vikhr-Nemo-12B-Instruct-R-21-09-24 | Q8_0 | 12.13 GiB | bartowski | 12.13 GiB | -0.0% |
| Vikhr-Nemo-12B-Instruct-R-21-09-24 | Q4_K_M | 6.96 GiB | bartowski | 6.96 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
| Model | Quantizations | Smallest |
|---|---|---|
| Vikhr-Nemo-12B-Instruct-R-21-09-24 | 2 | 6.96 GiB |