Is Huihui-gemma-4-26B-A4B-it-abliterated or Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP smaller?

Huihui-gemma-4-26B-A4B-it-abliterated is smaller at Q4_K_M: 15.64 GiB against 34.04 GiB.

Which uses less memory at long context?

Huihui-gemma-4-26B-A4B-it-abliterated — its KV cache at 32K context is 1.3x smaller, because of how its attention layers cache.

Model comparison

Huihui-gemma-4-26B-A4B-it-abliterated vs Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP

At Q4_K_M, Huihui-gemma-4-26B-A4B-it-abliterated is the smaller download — 16,796,011,680 bytes against 36,545,830,912. At long context the gap widens: Huihui-gemma-4-26B-A4B-it-abliterated'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

	Huihui-gemma-4-26B-A4B-it-abliterated	Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP
Parameters	26.5B	27.8B
Architecture	gemma4	qwen35
Layers	30	64
Native context	262,144	262,144
Mixture of experts	yes, 128 experts	no
Quantizations published	47	34
Smallest quantization	7.72 GiB	10.12 GiB
Q4_K_M	15.64 GiB	34.04 GiB
Licence	—	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Huihui-gemma-4-26B-A4B-it-abliterated	Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP	Ratio
4,096	0.45 GiB	0.25 GiB	1.80×
8,192	0.61 GiB	0.50 GiB	1.21×
16,384	0.92 GiB	1.00 GiB	1.09×
32,768	1.54 GiB	2.00 GiB	1.30×
65,536	2.79 GiB	4.00 GiB	1.43×
131,072	5.29 GiB	8.00 GiB	1.51×