Quantization publisher
smarttasks
smarttasks publishes 4 quantizations across 1 models in our index, averaging 6.484 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 7 of the pairs we can compare — the same label does not mean the same file.
From the file· summed file bytes
Repositories
1
Quantizations
4
Models covered
1
Avg effective bpw
6.484
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | smarttasks | vs | Theirs | Difference |
|---|---|---|---|---|---|
| VibeThinker-1.5B | Q5_K_M | 1.20 GiB | mradermacher | 1.20 GiB | -0.0% |
| VibeThinker-1.5B | Q4_K_M | 1.04 GiB | mradermacher | 1.04 GiB | -0.0% |
| VibeThinker-1.5B | Q6_K | 1.36 GiB | mradermacher | 1.36 GiB | -0.0% |
| VibeThinker-1.5B | Q8_0 | 1.76 GiB | mradermacher | 1.76 GiB | -0.0% |
| VibeThinker-1.5B | Q6_K | 1.36 GiB | MaziyarPanahi | 1.36 GiB | -0.0% |
| VibeThinker-1.5B | Q5_K_M | 1.20 GiB | MaziyarPanahi | 1.20 GiB | -0.0% |
| VibeThinker-1.5B | Q4_K_M | 1.04 GiB | MaziyarPanahi | 1.04 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 |
|---|---|---|
| VibeThinker-1.5B | 4 | 1.04 GiB |