Quantization publisher

shb777

shb777 publishes 3 quantizations across 1 models in our index, averaging 6.661 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
1
Quantizations
3
Models covered
1
Avg effective bpw
6.661
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantshb777vsTheirsDifference
Llama-3.3-8B-Instruct-128KQ8_07.95 GiBTheDrummer7.95 GiB-0.0%
Llama-3.3-8B-Instruct-128KQ6_K6.14 GiBTheDrummer6.14 GiB-0.0%
Llama-3.3-8B-Instruct-128KQ4_K_M4.58 GiBTheDrummer4.58 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
Llama-3.3-8B-Instruct-128K34.58 GiB