Model comparison

aya-23-8B vs gemma-4-E4B-it

At Q4_K_M, gemma-4-E4B-it is the smaller download — 4,977,171,584 bytes against 5,056,982,144.

From the file· summed bytes, KV per layer

Side by side

aya-23-8Bgemma-4-E4B-it
Parameters8.0B8.0B
Architecturecommand-rgemma4
Layers42
Native context131,072
Mixture of expertsnono
Quantizations published4636
Smallest quantization2.06 GiB3.30 GiB
Q4_K_M4.71 GiB4.64 GiB
Licencecc-by-nc-4.0apache-2.0

KV cache by context

the term that decides long-context viability
Contextaya-23-8Bgemma-4-E4B-itRatio
4,0960.12 GiB
8,1920.18 GiB
16,3840.29 GiB
32,7680.51 GiB
65,5360.94 GiB
131,0721.82 GiB