Is Huihui-Qwen3.5-35B-A3B-abliterated or gemma-4-12B-it smaller?

gemma-4-12B-it is smaller at Q4_K_M: 6.63 GiB against 19.72 GiB.

Which uses less memory at long context?

Huihui-Qwen3.5-35B-A3B-abliterated — its KV cache at 32K context is 3.9x smaller, because of how its attention layers cache.

Model comparison

Huihui-Qwen3.5-35B-A3B-abliterated vs gemma-4-12B-it

At Q4_K_M, gemma-4-12B-it is the smaller download — 7,121,861,440 bytes against 21,169,117,536. At long context the gap widens: Huihui-Qwen3.5-35B-A3B-abliterated's KV cache at 32K is 3.9× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Huihui-Qwen3.5-35B-A3B-abliterated	gemma-4-12B-it
Parameters	36.0B	12.0B
Architecture	qwen35moe	gemma4
Layers	40	48
Native context	262,144	262,144
Mixture of experts	yes, 256 experts	no
Quantizations published	44	59
Smallest quantization	6.80 GiB	3.92 GiB
Q4_K_M	19.72 GiB	6.63 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Huihui-Qwen3.5-35B-A3B-abliterated	gemma-4-12B-it	Ratio
4,096	0.08 GiB	0.72 GiB	9.19×
8,192	0.16 GiB	0.97 GiB	6.20×
16,384	0.31 GiB	1.47 GiB	4.70×
32,768	0.63 GiB	2.47 GiB	3.95×
65,536	1.25 GiB	4.47 GiB	3.57×
131,072	2.50 GiB	8.47 GiB	3.39×