Quantization publisher

jfiekdjdk

jfiekdjdk publishes 5 quantizations across 2 models in our index, averaging 6.225 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
2
Quantizations
5
Models covered
2
Avg effective bpw
6.225
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantjfiekdjdkvsTheirsDifference
gemma-4-31b-it-heretic-araQ4_K_M17.40 GiBmradermacher17.40 GiB-0.0%
gemma-4-31b-it-heretic-araQ6_K23.47 GiBmradermacher23.47 GiB-0.0%
gemma-4-31b-it-heretic-araQ8_030.39 GiBmradermacher30.39 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-4-31b-it-heretic-ara416.44 GiB
GLM-4-9B-0414-abliterated17.70 GiB