Model comparison

FLUX.1-Fill-dev 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

FLUX.1-Fill-devKrea-2-Turbo
Parameters11.9B12.8B
Architecturefluxqwen_image
Layers
Native context
Mixture of expertsnono
Quantizations published2533
Smallest quantization3.87 GiB2.78 GiB
Q4_K_M6.72 GiB
Licenceotherother

KV cache by context

the term that decides long-context viability
ContextFLUX.1-Fill-devKrea-2-TurboRatio
4,096
8,192
16,384
32,768
65,536
131,072