Model comparison

Qwen3.8-27B vs gemma-4-19B-A4B-it-The-DECKARD-Heretic-Uncensored-Thinking

At Q4_K_M, gemma-4-19B-A4B-it-The-DECKARD-Heretic-Uncensored-Thinking is the smaller download — 12,291,399,456 bytes against 16,810,714,336. At long context the gap widens: gemma-4-19B-A4B-it-The-DECKARD-Heretic-Uncensored-Thinking'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

Qwen3.8-27Bgemma-4-19B-A4B-it-The-DECKARD-Heretic-Uncensored-Thinking
Parameters27.8B19.0B
Architectureqwen35gemma4
Layers6430
Native context262,144262,144
Mixture of expertsnoyes, 90 experts
Quantizations published2235
Smallest quantization8.39 GiB5.70 GiB
Q4_K_M15.66 GiB11.45 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextQwen3.8-27Bgemma-4-19B-A4B-it-The-DECKARD-Heretic-Uncensored-ThinkingRatio
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×
Qwen3.8-27B vs gemma-4-19B-A4B-it-The-DECKARD-Heretic-Uncensored-Thinking — size, memory and hardware fit — ossmodeldb