Quantization publisher

huggingkot

huggingkot publishes 1 quantizations across 1 models in our index, averaging 4.827 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 1 of the pairs we can compare — the same label does not mean the same file.

From the file· summed file bytes
Repositories
1
Quantizations
1
Models covered
1
Avg effective bpw
4.827
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuanthuggingkotvsTheirsDifference
dolphin-2.9.3-mistral-7B-32kQ4_K_M4.07 GiBmradermacher4.07 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
dolphin-2.9.3-mistral-7B-32k14.07 GiB