Quantization publisher
0xgr3y
0xgr3y publishes 5 quantizations across 1 models in our index, averaging 8.658 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
5
Models covered
1
Avg effective bpw
8.658
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | 0xgr3y | vs | Theirs | Difference |
|---|---|---|---|---|---|
| Qwen2.5-Coder-0.5B | Q4_K_M | 0.37 GiB | bartowski | 0.37 GiB | -0.0% |
| Qwen2.5-Coder-0.5B | Q5_K_M | 0.39 GiB | bartowski | 0.39 GiB | -0.0% |
| Qwen2.5-Coder-0.5B | Q6_K | 0.47 GiB | bartowski | 0.47 GiB | -0.0% |
| Qwen2.5-Coder-0.5B | F16 | 0.93 GiB | bartowski | 0.93 GiB | -0.0% |
| Qwen2.5-Coder-0.5B | Q4_K_M | 0.37 GiB | lmstudio-community | 0.37 GiB | -0.0% |
| Qwen2.5-Coder-0.5B | Q6_K | 0.47 GiB | lmstudio-community | 0.47 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 |
|---|---|---|
| Qwen2.5-Coder-0.5B | 5 | 0.33 GiB |