Quantization publisher
ssweens
ssweens publishes 4 quantizations across 1 models in our index, averaging 8.987 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
4
Models covered
1
Avg effective bpw
8.987
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | ssweens | vs | Theirs | Difference |
|---|---|---|---|---|---|
| Kimi-VL-A3B-Instruct | Q4_K_M | 9.82 GiB | mradermacher | 9.82 GiB | -0.0% |
| Kimi-VL-A3B-Instruct | Q6_K | 13.30 GiB | mradermacher | 13.30 GiB | -0.0% |
| Kimi-VL-A3B-Instruct | Q8_0 | 15.81 GiB | mradermacher | 15.81 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 |
|---|---|---|
| Kimi-VL-A3B-Instruct | 4 | 9.82 GiB |