Quantization publisher
ijohn07
ijohn07 publishes 2 quantizations across 2 models in our index, averaging 6.692 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
2
Models covered
2
Avg effective bpw
6.692
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | ijohn07 | vs | Theirs | Difference |
|---|---|---|---|---|---|
| Qwen3-14B-Uncensored | Q4_K_M | 8.38 GiB | mradermacher | 8.38 GiB | -0.0% |
| DeepSeek-V2-Lite-Chat-Uncensored-Unbiased-Reasoner | Q8_0 | 15.55 GiB | mradermacher | 15.55 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 |
|---|---|---|
| Qwen3-14B-Uncensored | 1 | 8.38 GiB |
| DeepSeek-V2-Lite-Chat-Uncensored-Unbiased-Reasoner | 1 | 15.55 GiB |