Quantization publisher
DexopT
DexopT publishes 1 quantizations across 1 models in our index, averaging 4.894 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
1
Models covered
1
Avg effective bpw
4.894
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | DexopT | vs | Theirs | Difference |
|---|---|---|---|---|---|
| llama-3.2-3b-instruct-bnb-4bit | Q4_K_M | 1.88 GiB | QuantFactory | 1.88 GiB | -0.0% |
| llama-3.2-3b-instruct-bnb-4bit | Q4_K_M | 1.88 GiB | jzdesign | 1.88 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 |
|---|---|---|
| llama-3.2-3b-instruct-bnb-4bit | 1 | 1.88 GiB |