Quantization publisher

ddh0

ddh0 publishes 8 quantizations across 1 models in our index, averaging 4.319 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 8 of the pairs we can compare — the same label does not mean the same file.

From the file· summed file bytes
Repositories
1
Quantizations
8
Models covered
1
Avg effective bpw
4.319
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantddh0vsTheirsDifference
L3.3-Electra-R1-70bQ5_K_M46.52 GiBbartowski46.52 GiB-0.0%
L3.3-Electra-R1-70bQ4_K_M39.60 GiBbartowski39.60 GiB0.0%
L3.3-Electra-R1-70bQ4_K_S37.58 GiBbartowski37.58 GiB0.0%
L3.3-Electra-R1-70bQ5_K_S45.32 GiBbartowski45.32 GiB0.0%
L3.3-Electra-R1-70bIQ2_M22.46 GiBbartowski22.46 GiB0.0%
L3.3-Electra-R1-70bIQ3_M29.74 GiBbartowski29.74 GiB0.0%
L3.3-Electra-R1-70bIQ4_XS35.30 GiBbartowski35.30 GiB0.0%
L3.3-Electra-R1-70bIQ3_XS27.29 GiBbartowski27.29 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
L3.3-Electra-R1-70b822.46 GiB