Quantization publisher
darthcrawl
darthcrawl publishes 7 quantizations across 1 models in our index, averaging 5.292 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 6 of the pairs we can compare — the same label does not mean the same file.
From the file· summed file bytes
Repositories
1
Quantizations
7
Models covered
1
Avg effective bpw
5.292
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | darthcrawl | vs | Theirs | Difference |
|---|---|---|---|---|---|
| Lilith-31B-v1.0 | IQ4_XS | 15.59 GiB | mradermacher | 15.70 GiB | -0.7% |
| Lilith-31B-v1.0 | Q3_K_M | 14.24 GiB | mradermacher | 14.24 GiB | -0.0% |
| Lilith-31B-v1.0 | Q4_K_M | 17.40 GiB | mradermacher | 17.40 GiB | -0.0% |
| Lilith-31B-v1.0 | Q5_K_M | 20.35 GiB | mradermacher | 20.35 GiB | -0.0% |
| Lilith-31B-v1.0 | Q6_K | 23.47 GiB | mradermacher | 23.47 GiB | -0.0% |
| Lilith-31B-v1.0 | Q8_0 | 30.39 GiB | mradermacher | 30.39 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 |
|---|---|---|
| Lilith-31B-v1.0 | 7 | 13.43 GiB |