Model comparison

MARTHA-LXVII.8B_QWEN-3.5-3.6_prune_9b-3.6_base vs gemma-4-E4B-it

At Q4_K_M, gemma-4-E4B-it is the smaller download — 4,977,171,584 bytes against 5,106,435,872. At long context the gap widens: gemma-4-E4B-it's KV cache at 32K is 1.7× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

MARTHA-LXVII.8B_QWEN-3.5-3.6_prune_9b-3.6_basegemma-4-E4B-it
Parameters8.1B8.0B
Architectureqwen35gemma4
Layers2842
Native context262,144131,072
Mixture of expertsnono
Quantizations published3636
Smallest quantization2.35 GiB3.30 GiB
Q4_K_M4.76 GiB4.64 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextMARTHA-LXVII.8B_QWEN-3.5-3.6_prune_9b-3.6_basegemma-4-E4B-itRatio
4,0960.11 GiB0.12 GiB1.12×
8,1920.22 GiB0.18 GiB1.23×
16,3840.44 GiB0.29 GiB1.52×
32,7680.88 GiB0.51 GiB1.73×
65,5361.75 GiB0.94 GiB1.86×
131,0723.50 GiB1.82 GiB1.92×