Quantization publisher
samuelchristlie
samuelchristlie publishes 13 quantizations across 1 models in our index, averaging 6.448 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 3 of the pairs we can compare — the same label does not mean the same file.
From the file· summed file bytes
Repositories
1
Quantizations
13
Models covered
1
Avg effective bpw
6.448
across their files
Same model, same quant label, different bytes
largest disagreements first
| Model | Quant | samuelchristlie | vs | Theirs | Difference |
|---|---|---|---|---|---|
| Wan2.1-T2V-1.3B | Q5_K_S | 0.94 GiB | calcuis | 1.46 GiB | -35.5% |
| Wan2.1-T2V-1.3B | Q4_K_S | 0.83 GiB | calcuis | 1.29 GiB | -35.6% |
| Wan2.1-T2V-1.3B | Q3_K_S | 0.61 GiB | calcuis | 0.95 GiB | -36.1% |
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 |
|---|---|---|
| Wan2.1-T2V-1.3B | 13 | 0.61 GiB |