Is Hy-MT2-1.8B or Qwen3-8B smaller?

Hy-MT2-1.8B is smaller at Q4_K_M: 1.06 GiB against 4.68 GiB.

Which uses less memory at long context?

Hy-MT2-1.8B — its KV cache at 32K context is 2.3x smaller, because of how its attention layers cache.

Model comparison

Hy-MT2-1.8B vs Qwen3-8B

At Q4_K_M, Hy-MT2-1.8B is the smaller download — 1,133,080,448 bytes against 5,027,783,488. At long context the gap widens: Hy-MT2-1.8B's KV cache at 32K is 2.3× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Hy-MT2-1.8B	Qwen3-8B
Parameters	2.0B	8.2B
Architecture	hunyuan-dense	qwen3
Layers	32	36
Native context	262,144	40,960
Mixture of experts	no	no
Quantizations published	3	51
Smallest quantization	1.06 GiB	2.12 GiB
Q4_K_M	1.06 GiB	4.68 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Hy-MT2-1.8B	Qwen3-8B	Ratio
4,096	0.25 GiB	0.56 GiB	2.25×
8,192	0.50 GiB	1.13 GiB	2.25×
16,384	1.00 GiB	2.25 GiB	2.25×
32,768	2.00 GiB	4.50 GiB	2.25×
65,536	4.00 GiB	9.00 GiB	2.25×
131,072	8.00 GiB	18.00 GiB	2.25×