Is ZAYA1-8B or Qwen3.8-27B smaller?

ZAYA1-8B is smaller at Q4_K_M: 5.19 GiB against 15.66 GiB.

Which uses less memory at long context?

ZAYA1-8B — its KV cache at 32K context is 52433.6x smaller, because of how its attention layers cache.

Model comparison

ZAYA1-8B vs Qwen3.8-27B

At Q4_K_M, ZAYA1-8B is the smaller download — 5,567,581,549 bytes against 16,810,714,336. At long context the gap widens: ZAYA1-8B's KV cache at 32K is 52433.6× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	ZAYA1-8B	Qwen3.8-27B
Parameters	8.8B	27.8B
Architecture	zaya	qwen35
Layers	40	64
Native context	131,072	262,144
Mixture of experts	yes, 16 experts	no
Quantizations published	6	22
Smallest quantization	4.20 GiB	8.39 GiB
Q4_K_M	5.19 GiB	15.66 GiB
Licence	—	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Qwen3.8-27B	Ratio
4,096	0.25 GiB	6558.40×
8,192	0.50 GiB	13112.00×
16,384	1.00 GiB	26219.20×
32,768	2.00 GiB	52433.60×
65,536	4.00 GiB	104862.40×
131,072	8.00 GiB	209720.00×