Model comparison

MR_MARTIN_31b_V1.0_Gemma-4-base-ftp vs Qwen3.6-35B-A3B

These two publish different quantization sets; the table below has the exact sizes.

From the file· summed bytes, KV per layer

Side by side

MR_MARTIN_31b_V1.0_Gemma-4-base-ftpQwen3.6-35B-A3B
Parameters30.7B36.0B
Architecturegemma4qwen35moe
Layers40
Native context262,144
Mixture of expertsnoyes, 256 experts
Quantizations published2361
Smallest quantization6.66 GiB8.77 GiB
Q4_K_M19.71 GiB
Licenceotherapache-2.0

KV cache by context

the term that decides long-context viability
ContextMR_MARTIN_31b_V1.0_Gemma-4-base-ftpQwen3.6-35B-A3BRatio
4,0960.08 GiB
8,1920.16 GiB
16,3840.31 GiB
32,7680.63 GiB
65,5361.25 GiB
131,0722.50 GiB