Quantization publisher

Radamanthys11

Radamanthys11 publishes 4 quantizations across 2 models in our index, averaging 12.536 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
2
Quantizations
4
Models covered
2
Avg effective bpw
12.536
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantRadamanthys11vsTheirsDifference
gemma-4-31B-it-assistantF160.89 GiBNotMe4040.89 GiB0.0%
gemma-4-31B-it-assistantF160.89 GiBAtomicChat0.89 GiB0.0%
gemma-4-31B-it-assistantQ8_00.48 GiBNotMe4040.48 GiB0.0%
gemma-4-31B-it-assistantQ8_00.48 GiBAtomicChat0.48 GiB0.0%
gemma-4-26B-A4B-it-assistantF160.80 GiBAtomicChat0.80 GiB-0.0%
gemma-4-26B-A4B-it-assistantQ8_00.43 GiBAtomicChat0.43 GiB-0.0%
gemma-4-26B-A4B-it-assistantQ8_00.43 GiBRachidAR0.43 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
gemma-4-26B-A4B-it-assistant20.43 GiB
gemma-4-31B-it-assistant20.48 GiB