Quantization publisher
hudsongouge
hudsongouge publishes 12 quantizations across 1 models in our index, averaging 7.235 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 8 of the pairs we can compare — the same label does not mean the same file.
From the file· summed file bytes
Repositories
2
Quantizations
12
Models covered
1
Avg effective bpw
7.235
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | hudsongouge | vs | Theirs | Difference |
|---|---|---|---|---|---|
| MiniCPM5-1B | Q5_K_M | 0.73 GiB | Abiray | 0.73 GiB | -0.0% |
| MiniCPM5-1B | Q5_K_M | 0.73 GiB | Abiray | 0.73 GiB | -0.0% |
| MiniCPM5-1B | F16 | 2.02 GiB | Abiray | 2.02 GiB | 0.0% |
| MiniCPM5-1B | Q8_0 | 1.07 GiB | Abiray | 1.07 GiB | 0.0% |
| MiniCPM5-1B | Q4_K_M | 0.64 GiB | Abiray | 0.64 GiB | 0.0% |
| MiniCPM5-1B | Q4_K_M | 0.64 GiB | Abiray | 0.64 GiB | -0.0% |
| MiniCPM5-1B | Q8_0 | 1.07 GiB | Abiray | 1.07 GiB | -0.0% |
| MiniCPM5-1B | F16 | 2.02 GiB | Abiray | 2.02 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 |
|---|---|---|
| MiniCPM5-1B | 12 | 0.45 GiB |