Quantization publisher
zeeksa
zeeksa publishes 5 quantizations across 1 models in our index, averaging 3.159 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 4 of the pairs we can compare — the same label does not mean the same file.
From the file· summed file bytes
Repositories
1
Quantizations
5
Models covered
1
Avg effective bpw
3.159
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | zeeksa | vs | Theirs | Difference |
|---|---|---|---|---|---|
| Qwen3.6-27B-Uncensored-HauhauCS-Aggressive | IQ2_M | 9.32 GiB | AIOpsInSpace | 9.74 GiB | -4.3% |
| Qwen3.6-27B-Uncensored-HauhauCS-Aggressive | IQ3_M | 11.72 GiB | AIOpsInSpace | 12.14 GiB | -3.5% |
| Qwen3.6-27B-Uncensored-HauhauCS-Aggressive | IQ3_XS | 11.15 GiB | AIOpsInSpace | 11.57 GiB | -3.6% |
| Qwen3.6-27B-Uncensored-HauhauCS-Aggressive | IQ4_XS | 14.05 GiB | AIOpsInSpace | 14.47 GiB | -2.9% |
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 |
|---|---|---|
| Qwen3.6-27B-Uncensored-HauhauCS-Aggressive | 5 | 3.23 GiB |