Quantization publisher
Gaboo
Gaboo publishes 5 quantizations across 1 models in our index, averaging 8.862 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
1
Quantizations
5
Models covered
1
Avg effective bpw
8.862
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | Gaboo | vs | Theirs | Difference |
|---|---|---|---|---|---|
| gemma-4-31B-it-qat-q4_0-unquantized-assistant | Q4_K_M | 0.33 GiB | mradermacher | 0.33 GiB | -1.2% |
| gemma-4-31B-it-qat-q4_0-unquantized-assistant | BF16 | 0.89 GiB | RachidAR | 0.89 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 |
|---|---|---|
| gemma-4-31B-it-qat-q4_0-unquantized-assistant | 5 | 0.33 GiB |