Quantization publisher

ggfox00000

ggfox00000 publishes 3 quantizations across 1 models in our index, averaging 6.609 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
3
Models covered
1
Avg effective bpw
6.609
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantggfox00000vsTheirsDifference
DeepSeek-V2-Lite-ChatQ4_K_M9.66 GiBsecond-state9.65 GiB0.0%
DeepSeek-V2-Lite-ChatQ5_K_M11.04 GiBsecond-state11.04 GiB0.0%
DeepSeek-V2-Lite-ChatQ8_015.56 GiBlegraphista15.56 GiB0.0%
DeepSeek-V2-Lite-ChatQ8_015.56 GiBsecond-state15.56 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
DeepSeek-V2-Lite-Chat39.66 GiB