Quantization publisher
deadbydawn101
deadbydawn101 publishes 8 quantizations across 4 models in our index, averaging 7.430 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
4
Quantizations
8
Models covered
4
Avg effective bpw
7.430
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | deadbydawn101 | vs | Theirs | Difference |
|---|---|---|---|---|---|
| Gemma-4-12B-OBLITERATED | Q4_K_M | 6.87 GiB | mradermacher | 6.87 GiB | -0.0% |
| Gemma-4-12B-OBLITERATED | Q8_0 | 11.80 GiB | mradermacher | 11.80 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 |
|---|---|---|
| Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated | 1 | 20.22 GiB |
| Gemma-4-12B-OBLITERATED | 2 | 6.87 GiB |
| Holo3-35B-A3B | 1 | 19.71 GiB |
| gemma-4-E4B-Agentic-Opus-Reasoning-GeminiCLI-mlx-4bit | 4 | 4.97 GiB |