Quantization publisher

DollasAndSpence

DollasAndSpence publishes 6 quantizations across 1 models in our index, averaging 7.685 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 5 of the pairs we can compare — the same label does not mean the same file.

From the file· summed file bytes
Repositories
1
Quantizations
6
Models covered
1
Avg effective bpw
7.685
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantDollasAndSpencevsTheirsDifference
gemma-4-E4B-it-ultra-uncensored-hereticQ6_K5.79 GiBmradermacher5.79 GiB0.0%
gemma-4-E4B-it-ultra-uncensored-hereticQ8_07.48 GiBmradermacher7.48 GiB0.0%
gemma-4-E4B-it-ultra-uncensored-hereticQ4_K_M4.97 GiBmradermacher4.97 GiB0.0%
gemma-4-E4B-it-ultra-uncensored-hereticQ5_K_M5.37 GiBmradermacher5.37 GiB0.0%
gemma-4-E4B-it-ultra-uncensored-hereticQ5_K_S5.30 GiBmradermacher5.30 GiB0.0%

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
gemma-4-E4B-it-ultra-uncensored-heretic64.97 GiB