Model comparison

Wan2.2-Distill-Models vs LTX-2.3

At Q4_K_M, Wan2.2-Distill-Models is the smaller download — 9,661,569,664 bytes against 14,194,441,248.

From the file· summed bytes, KV per layer

Side by side

Wan2.2-Distill-ModelsLTX-2.3
Parameters14.3B9.2B
Architecturewanqwen35
Layers
Native context
Mixture of expertsnono
Quantizations published6792
Smallest quantization4.95 GiB7.39 GiB
Q4_K_M9.00 GiB13.22 GiB
Licence

KV cache by context

the term that decides long-context viability
ContextWan2.2-Distill-ModelsLTX-2.3Ratio
4,096
8,192
16,384
32,768
65,536
131,072