Is SmolLM-135M or Qwen3-0.6B smaller?

SmolLM-135M is smaller at Q4_K_M: 0.10 GiB against 0.37 GiB.

Which uses less memory at long context?

SmolLM-135M — its KV cache at 32K context is 5.0x smaller, because of how its attention layers cache.

Model comparison

SmolLM-135M vs Qwen3-0.6B

At Q4_K_M, SmolLM-135M is the smaller download — 105,453,664 bytes against 396,705,472. At long context the gap widens: SmolLM-135M's KV cache at 32K is 5.0× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	SmolLM-135M	Qwen3-0.6B
Parameters	135M	752M
Architecture	llama	qwen3
Layers	30	28
Native context	2,048	40,960
Mixture of experts	no	no
Quantizations published	2	44
Smallest quantization	0.10 GiB	0.20 GiB
Q4_K_M	0.10 GiB	0.37 GiB
Licence	mit	—

KV cache by context

the term that decides long-context viability

Context	SmolLM-135M	Qwen3-0.6B	Ratio
4,096	0.09 GiB	0.44 GiB	4.98×
8,192	0.18 GiB	0.88 GiB	4.98×
16,384	0.35 GiB	1.75 GiB	4.98×
32,768	0.70 GiB	3.50 GiB	4.98×
65,536	1.41 GiB	7.00 GiB	4.98×
131,072	2.81 GiB	14.00 GiB	4.98×