Quantization publisher
abliter8-ai
abliter8-ai publishes 4 quantizations across 1 models in our index, averaging 5.656 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
4
Models covered
1
Avg effective bpw
5.656
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | abliter8-ai | vs | Theirs | Difference |
|---|---|---|---|---|---|
| neutts-air | Q8_0 | 0.55 GiB | neuphonic | 0.75 GiB | -25.8% |
| neutts-air | Q8_0 | 0.55 GiB | neuphonic | 0.75 GiB | -25.8% |
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 |
|---|---|---|
| neutts-air | 4 | 0.43 GiB |