Model comparison

SPARK.Chroma_preview vs Krea-2-Turbo

These two publish different quantization sets; the table below has the exact sizes.

From the file· summed bytes, KV per layer

Side by side

SPARK.Chroma_previewKrea-2-Turbo
Parameters8.9B12.8B
Architectureqwen_image
Layers
Native context
Mixture of expertsnono
Quantizations published533
Smallest quantization4.71 GiB2.78 GiB
Q4_K_M6.72 GiB
Licenceapache-2.0other

KV cache by context

the term that decides long-context viability
ContextSPARK.Chroma_previewKrea-2-TurboRatio
4,096
8,192
16,384
32,768
65,536
131,072
SPARK.Chroma_preview vs Krea-2-Turbo — size, memory and hardware fit — ossmodeldb