Model comparison

MR_MARTIN_31b_V1.0_Gemma-4-base-ftp vs Qwen3.5-9B

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-ftpQwen3.5-9B
Parameters30.7B9.7B
Architecturegemma4qwen35
Layers32
Native context262,144
Mixture of expertsnono
Quantizations published2334
Smallest quantization6.66 GiB2.97 GiB
Q4_K_M5.24 GiB
Licenceotherapache-2.0

KV cache by context

the term that decides long-context viability
ContextMR_MARTIN_31b_V1.0_Gemma-4-base-ftpQwen3.5-9BRatio
4,0960.13 GiB
8,1920.25 GiB
16,3840.50 GiB
32,7681.00 GiB
65,5362.00 GiB
131,0724.00 GiB