Is Tinyllama-2-1b-miniguanaco or Qwen3-4B smaller?

Tinyllama-2-1b-miniguanaco is smaller at Q4_K_M: 0.62 GiB against 2.33 GiB.

Which uses less memory at long context?

Tinyllama-2-1b-miniguanaco — its KV cache at 32K context is 6.5x smaller, because of how its attention layers cache.

Model comparison

Tinyllama-2-1b-miniguanaco vs Qwen3-4B

At Q4_K_M, Tinyllama-2-1b-miniguanaco is the smaller download — 667,822,976 bytes against 2,497,280,256. At long context the gap widens: Tinyllama-2-1b-miniguanaco's KV cache at 32K is 6.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Tinyllama-2-1b-miniguanaco	Qwen3-4B
Parameters	1.1B	4.0B
Architecture	llama	qwen3
Layers	22	36
Native context	2,048	40,960
Mixture of experts	no	no
Quantizations published	12	29
Smallest quantization	0.45 GiB	1.01 GiB
Q4_K_M	0.62 GiB	2.33 GiB
Licence	other	—

KV cache by context

the term that decides long-context viability

Context	Tinyllama-2-1b-miniguanaco	Qwen3-4B	Ratio
4,096	0.09 GiB	0.56 GiB	6.55×
8,192	0.17 GiB	1.13 GiB	6.55×
16,384	0.34 GiB	2.25 GiB	6.55×
32,768	0.69 GiB	4.50 GiB	6.55×
65,536	1.38 GiB	9.00 GiB	6.55×
131,072	2.75 GiB	18.00 GiB	6.55×