Model comparison

DreamOmni2 vs Krea-2-Turbo

At Q4_K_M, DreamOmni2 is the smaller download — 4,683,071,936 bytes against 7,216,993,376.

From the file· summed bytes, KV per layer

Side by side

DreamOmni2Krea-2-Turbo
Parameters7.6B12.8B
Architectureqwen2vlqwen_image
Layers
Native context
Mixture of expertsnono
Quantizations published1233
Smallest quantization2.81 GiB2.78 GiB
Q4_K_M4.36 GiB6.72 GiB
Licenceapache-2.0other

KV cache by context

the term that decides long-context viability
ContextDreamOmni2Krea-2-TurboRatio
4,096
8,192
16,384
32,768
65,536
131,072