Model comparison

gemma-4-12B-it vs ThinkingCap-Qwen3.6-27B-heretic

At Q4_K_M, gemma-4-12B-it is the smaller download — 7,121,861,440 bytes against 16,547,399,328. At long context the gap widens: ThinkingCap-Qwen3.6-27B-heretic's KV cache at 32K is 1.2× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

gemma-4-12B-itThinkingCap-Qwen3.6-27B-heretic
Parameters12.0B27.4B
Architecturegemma4qwen35
Layers4864
Native context262,144262,144
Mixture of expertsnono
Quantizations published5917
Smallest quantization3.92 GiB8.72 GiB
Q4_K_M6.63 GiB15.41 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
Contextgemma-4-12B-itThinkingCap-Qwen3.6-27B-hereticRatio
4,0960.72 GiB0.25 GiB2.87×
8,1920.97 GiB0.50 GiB1.94×
16,3841.47 GiB1.00 GiB1.47×
32,7682.47 GiB2.00 GiB1.23×
65,5364.47 GiB4.00 GiB1.12×
131,0728.47 GiB8.00 GiB1.06×
gemma-4-12B-it vs ThinkingCap-Qwen3.6-27B-heretic — size, memory and hardware fit — ossmodeldb