Is Cydonia-24B-v4 or Qwen3.8-27B smaller?

Cydonia-24B-v4 is smaller at Q4_K_M: 13.35 GiB against 15.66 GiB.

Which uses less memory at long context?

Qwen3.8-27B — its KV cache at 32K context is 2.5x smaller, because of how its attention layers cache.

Model comparison

Cydonia-24B-v4 vs Qwen3.8-27B

At Q4_K_M, Cydonia-24B-v4 is the smaller download — 14,333,910,752 bytes against 16,810,714,336. At long context the gap widens: Qwen3.8-27B's KV cache at 32K is 2.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Cydonia-24B-v4	Qwen3.8-27B
Parameters	23.6B	27.8B
Architecture	llama	qwen35
Layers	40	64
Native context	131,072	262,144
Mixture of experts	no	no
Quantizations published	25	22
Smallest quantization	6.71 GiB	8.39 GiB
Q4_K_M	13.35 GiB	15.66 GiB
Licence	—	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Cydonia-24B-v4	Qwen3.8-27B	Ratio
4,096	0.63 GiB	0.25 GiB	2.50×
8,192	1.25 GiB	0.50 GiB	2.50×
16,384	2.50 GiB	1.00 GiB	2.50×
32,768	5.00 GiB	2.00 GiB	2.50×
65,536	10.00 GiB	4.00 GiB	2.50×
131,072	20.00 GiB	8.00 GiB	2.50×