Is Ornith-1.0-9B or Qwen3-4B smaller?

Qwen3-4B is smaller at Q4_K_M: 2.33 GiB against 5.31 GiB.

Which uses less memory at long context?

Ornith-1.0-9B — its KV cache at 32K context is 4.5x smaller, because of how its attention layers cache.

Model comparison

Ornith-1.0-9B vs Qwen3-4B

At Q4_K_M, Qwen3-4B is the smaller download — 2,497,280,256 bytes against 5,701,067,872. At long context the gap widens: Ornith-1.0-9B's KV cache at 32K is 4.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Ornith-1.0-9B	Qwen3-4B
Parameters	9.2B	4.0B
Architecture	qwen35	qwen3
Layers	32	36
Native context	262,144	40,960
Mixture of experts	no	no
Quantizations published	48	29
Smallest quantization	2.26 GiB	1.01 GiB
Q4_K_M	5.31 GiB	2.33 GiB
Licence	mit	—

KV cache by context

the term that decides long-context viability

Context	Ornith-1.0-9B	Qwen3-4B	Ratio
4,096	0.13 GiB	0.56 GiB	4.50×
8,192	0.25 GiB	1.13 GiB	4.50×
16,384	0.50 GiB	2.25 GiB	4.50×
32,768	1.00 GiB	4.50 GiB	4.50×
65,536	2.00 GiB	9.00 GiB	4.50×
131,072	4.00 GiB	18.00 GiB	4.50×