Model comparison

Bernini-R vs LTX-2

At Q4_K_M, Bernini-R is the smaller download — 9,650,100,736 bytes against 12,840,118,752.

From the file· summed bytes, KV per layer

Side by side

Bernini-RLTX-2
Parameters14.3B18.9B
Architecturewanltxv
Layers
Native context
Mixture of expertsnono
Quantizations published3228
Smallest quantization4.94 GiB7.48 GiB
Q4_K_M8.99 GiB11.96 GiB
Licenceapache-2.0

KV cache by context

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