Quantization publisher
c4tdr0ut
c4tdr0ut publishes 4 quantizations across 2 models in our index, averaging 6.194 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
4
Models covered
2
Avg effective bpw
6.194
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | c4tdr0ut | vs | Theirs | Difference |
|---|---|---|---|---|---|
| Mistral-Small-24B-Instruct-2501-abliterated | Q4_K_M | 13.35 GiB | bartowski | 13.35 GiB | -0.0% |
| Mistral-Small-24B-Instruct-2501-abliterated | Q5_K_M | 15.61 GiB | bartowski | 15.61 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 |
|---|---|---|
| Mistral-Small-24B-Instruct-2501-abliterated | 2 | 13.35 GiB |
| Llama-3.1-8B-Instruct-abliterated | 2 | 5.34 GiB |