Model comparison

MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking vs gemma-4-E4B-it

At Q4_K_M, gemma-4-E4B-it is the smaller download — 4,977,171,584 bytes against 14,354,741,376. At long context the gap widens: gemma-4-E4B-it's KV cache at 32K is 20.0× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinkinggemma-4-E4B-it
Parameters23.4B8.0B
Architecturellamagemma4
Layers8142
Native context1,024,000131,072
Mixture of expertsnono
Quantizations published3336
Smallest quantization5.00 GiB3.30 GiB
Q4_K_M13.37 GiB4.64 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextMN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinkinggemma-4-E4B-itRatio
4,0961.27 GiB0.12 GiB10.29×
8,1922.53 GiB0.18 GiB14.24×
16,3845.06 GiB0.29 GiB17.63×
32,76810.13 GiB0.51 GiB20.02×
65,53620.25 GiB0.94 GiB21.47×
131,07240.50 GiB1.82 GiB22.27×
MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking vs gemma-4-E4B-it — size, memory and hardware fit — ossmodeldb