Is Hunyuan-1.8B-Instruct or gemma-3-1b-it smaller?

gemma-3-1b-it is smaller at Q4_K_M: 0.75 GiB against 1.06 GiB.

Which uses less memory at long context?

gemma-3-1b-it — its KV cache at 32K context is 13.7x smaller, because of how its attention layers cache.

Model comparison

Hunyuan-1.8B-Instruct vs gemma-3-1b-it

At Q4_K_M, gemma-3-1b-it is the smaller download — 806,058,240 bytes against 1,133,084,864. At long context the gap widens: gemma-3-1b-it's KV cache at 32K is 13.7× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Hunyuan-1.8B-Instruct	gemma-3-1b-it
Parameters	1.8B	1000M
Architecture	hunyuan-dense	gemma3
Layers	32	26
Native context	262,144	32,768
Mixture of experts	no	no
Quantizations published	23	28
Smallest quantization	0.65 GiB	0.52 GiB
Q4_K_M	1.06 GiB	0.75 GiB
Licence	—	gemma

KV cache by context

the term that decides long-context viability

Context	Hunyuan-1.8B-Instruct	gemma-3-1b-it	Ratio
4,096	0.25 GiB	0.04 GiB	6.74×
8,192	0.50 GiB	0.05 GiB	9.48×
16,384	1.00 GiB	0.08 GiB	11.91×
32,768	2.00 GiB	0.15 GiB	13.65×
65,536	4.00 GiB	0.27 GiB	14.73×
131,072	8.00 GiB	0.52 GiB	15.34×