Quantization publisher
bottlecapai
bottlecapai publishes 4 quantizations across 1 models in our index, averaging 8.988 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
8.988
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | bottlecapai | vs | Theirs | Difference |
|---|---|---|---|---|---|
| ThinkingCap-Qwen3.6-27B | Q6_K | 20.89 GiB | bartowski | 21.85 GiB | -4.4% |
| ThinkingCap-Qwen3.6-27B | Q4_K_M | 15.66 GiB | bartowski | 16.55 GiB | -5.4% |
| ThinkingCap-Qwen3.6-27B | Q8_0 | 27.05 GiB | bartowski | 27.12 GiB | -0.2% |
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 |
|---|---|---|
| ThinkingCap-Qwen3.6-27B | 4 | 15.66 GiB |