Quantization publisher

titan0115

titan0115 publishes 25 quantizations across 1 models in our index, averaging 4.764 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 4 of the pairs we can compare — the same label does not mean the same file.

From the file· summed file bytes
Repositories
1
Quantizations
25
Models covered
1
Avg effective bpw
4.764
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuanttitan0115vsTheirsDifference
Qwen3.5-9B-BaseQ5_K_M6.07 GiByaruti6.02 GiB+0.8%
Qwen3.5-9B-BaseQ4_K_M5.24 GiByaruti5.24 GiB-0.0%
Qwen3.5-9B-BaseQ8_08.87 GiByaruti8.87 GiB-0.0%
Qwen3.5-9B-BaseF1616.69 GiByaruti16.69 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

ModelQuantizationsSmallest
Qwen3.5-9B-Base251.46 GiB