Model comparison

DreamOmni2 vs Z-Image-Turbo

At Q4_K_M, DreamOmni2 is the smaller download — 4,683,071,936 bytes against 4,981,532,736.

From the file· summed bytes, KV per layer

Side by side

DreamOmni2Z-Image-Turbo
Parameters7.6B6.2B
Architectureqwen2vllumina2
Layers
Native context
Mixture of expertsnono
Quantizations published1230
Smallest quantization2.81 GiB2.41 GiB
Q4_K_M4.36 GiB4.64 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextDreamOmni2Z-Image-TurboRatio
4,096
8,192
16,384
32,768
65,536
131,072