Is Fimbulvetr-11B-v2 or Qwen3-4B smaller?

Qwen3-4B is smaller at Q4_K_M: 2.33 GiB against 6.16 GiB.

Which uses less memory at long context?

Qwen3-4B — its KV cache at 32K context is 1.3x smaller, because of how its attention layers cache.

Model comparison

Fimbulvetr-11B-v2 vs Qwen3-4B

At Q4_K_M, Qwen3-4B is the smaller download — 2,497,280,256 bytes against 6,616,291,424. At long context the gap widens: Qwen3-4B'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

	Fimbulvetr-11B-v2	Qwen3-4B
Parameters	10.7B	4.0B
Architecture	llama	qwen3
Layers	48	36
Native context	4,096	40,960
Mixture of experts	no	no
Quantizations published	36	29
Smallest quantization	2.35 GiB	1.01 GiB
Q4_K_M	6.16 GiB	2.33 GiB
Licence	cc-by-nc-4.0	—

KV cache by context

the term that decides long-context viability

Context	Fimbulvetr-11B-v2	Qwen3-4B	Ratio
4,096	0.75 GiB	0.56 GiB	1.33×
8,192	1.50 GiB	1.13 GiB	1.33×
16,384	3.00 GiB	2.25 GiB	1.33×
32,768	6.00 GiB	4.50 GiB	1.33×
65,536	12.00 GiB	9.00 GiB	1.33×
131,072	24.00 GiB	18.00 GiB	1.33×