Quantization publisher
octopusmegalopod
octopusmegalopod publishes 2 quantizations across 1 models in our index, averaging 3.332 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
2
Models covered
1
Avg effective bpw
3.332
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | octopusmegalopod | vs | Theirs | Difference |
|---|---|---|---|---|---|
| PaddleOCR-VL-1.5 | Q4_K_M | 0.28 GiB | Mungert | 0.36 GiB | -21.4% |
| PaddleOCR-VL-1.5 | Q8_0 | 0.46 GiB | noctrex | 0.46 GiB | -0.0% |
| PaddleOCR-VL-1.5 | Q8_0 | 0.46 GiB | Mungert | 0.46 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 |
|---|---|---|
| PaddleOCR-VL-1.5 | 2 | 0.28 GiB |