Quantization publisher
speakleash
speakleash publishes 14 quantizations across 3 models in our index, averaging 8.380 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
3
Quantizations
14
Models covered
3
Avg effective bpw
8.380
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | speakleash | vs | Theirs | Difference |
|---|---|---|---|---|---|
| Bielik-11B-v2.2-Instruct | Q4_K_M | 6.26 GiB | bartowski | 6.26 GiB | -0.0% |
| Bielik-11B-v2.2-Instruct | Q5_K_M | 7.36 GiB | bartowski | 7.36 GiB | -0.0% |
| Bielik-11B-v2.2-Instruct | Q6_K | 8.53 GiB | bartowski | 8.53 GiB | -0.0% |
| Bielik-11B-v2.2-Instruct | Q8_0 | 11.05 GiB | bartowski | 11.05 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 |
|---|---|---|
| Bielik-11B-v3.0-Instruct | 6 | 6.26 GiB |
| Bielik-11B-v2.3-Instruct | 4 | 6.26 GiB |
| Bielik-11B-v2.2-Instruct | 4 | 6.26 GiB |