Quantization publisher
EpistemeAI
EpistemeAI publishes 2 quantizations across 2 models in our index, averaging 8.035 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
2
Quantizations
2
Models covered
2
Avg effective bpw
8.035
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | EpistemeAI | vs | Theirs | Difference |
|---|---|---|---|---|---|
| OpenMedResearch-Gemma-4E4N | Q8_0 | 7.48 GiB | mradermacher | 7.48 GiB | -0.0% |
| Reasoning-Medical0.1-E4B-sft | Q8_0 | 7.48 GiB | mradermacher | 7.48 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 |
|---|---|---|
| Reasoning-Medical0.1-E4B-sft | 1 | 7.48 GiB |
| OpenMedResearch-Gemma-4E4N | 1 | 7.48 GiB |