Model comparison

INTELLECT-1-Instruct vs gemma-4-E4B-it

At Q4_K_M, gemma-4-E4B-it is the smaller download — 4,977,171,584 bytes against 6,229,006,784. At long context the gap widens: gemma-4-E4B-it's KV cache at 32K is 10.4× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

INTELLECT-1-Instructgemma-4-E4B-it
Parameters10.2B8.0B
Architecturellamagemma4
Layers4242
Native context8,192131,072
Mixture of expertsnono
Quantizations published5336
Smallest quantization2.31 GiB3.30 GiB
Q4_K_M5.80 GiB4.64 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextINTELLECT-1-Instructgemma-4-E4B-itRatio
4,0960.66 GiB0.12 GiB5.33×
8,1921.31 GiB0.18 GiB7.38×
16,3842.63 GiB0.29 GiB9.14×
32,7685.25 GiB0.51 GiB10.38×
65,53610.50 GiB0.94 GiB11.13×
131,07221.00 GiB1.82 GiB11.55×
INTELLECT-1-Instruct vs gemma-4-E4B-it — size, memory and hardware fit — ossmodeldb