Quantization publisher
JamePeng2023
JamePeng2023 publishes 4 quantizations across 2 models in our index, averaging 7.951 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 1 of the pairs we can compare — the same label does not mean the same file.
From the file· summed file bytes
Repositories
2
Quantizations
4
Models covered
2
Avg effective bpw
7.951
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | JamePeng2023 | vs | Theirs | Difference |
|---|---|---|---|---|---|
| MinerU2.5-Pro-2605-1.2B | Q8_0 | 0.49 GiB | mradermacher | 0.49 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 |
|---|---|---|
| DeepSeek-OCR-2 | 2 | 2.91 GiB |
| MinerU2.5-Pro-2605-1.2B | 2 | 0.49 GiB |