Model comparison

Qwen3.6-27B vs gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34's KV cache at 32K is 1.3× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

Qwen3.6-27Bgemma-4-26B-A4B-it-local-abliterated-sota-internal-t34
Parameters27.8B25.8B
Architectureqwen35gemma4
Layers6430
Native context262,144262,144
Mixture of expertsnoyes, 128 experts
Quantizations published4023
Smallest quantization8.74 GiB7.72 GiB
Q4_K_M15.41 GiB
Licenceapache-2.0gemma

KV cache by context

the term that decides long-context viability
ContextQwen3.6-27Bgemma-4-26B-A4B-it-local-abliterated-sota-internal-t34Ratio
4,0960.25 GiB0.45 GiB1.80×
8,1920.50 GiB0.61 GiB1.21×
16,3841.00 GiB0.92 GiB1.09×
32,7682.00 GiB1.54 GiB1.30×
65,5364.00 GiB2.79 GiB1.43×
131,0728.00 GiB5.29 GiB1.51×
Qwen3.6-27B vs gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34 — size, memory and hardware fit — ossmodeldb