Is Hunyuan-1.8B-Instruct or Llama-3.2-1B-Instruct smaller?

Llama-3.2-1B-Instruct is smaller at Q4_K_M: 0.75 GiB against 1.06 GiB.

Which uses less memory at long context?

Llama-3.2-1B-Instruct — its KV cache at 32K context is 2.0x smaller, because of how its attention layers cache.

Model comparison

Hunyuan-1.8B-Instruct vs Llama-3.2-1B-Instruct

At Q4_K_M, Llama-3.2-1B-Instruct is the smaller download — 807,690,688 bytes against 1,133,084,864. At long context the gap widens: Llama-3.2-1B-Instruct's KV cache at 32K is 2.0× 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	Llama-3.2-1B-Instruct
Parameters	1.8B	1.2B
Architecture	hunyuan-dense	llama
Layers	32	16
Native context	262,144	131,072
Mixture of experts	no	no
Quantizations published	23	39
Smallest quantization	0.65 GiB	0.39 GiB
Q4_K_M	1.06 GiB	0.75 GiB
Licence	—	—

KV cache by context

the term that decides long-context viability

Context	Hunyuan-1.8B-Instruct	Llama-3.2-1B-Instruct	Ratio
4,096	0.25 GiB	0.13 GiB	2.00×
8,192	0.50 GiB	0.25 GiB	2.00×
16,384	1.00 GiB	0.50 GiB	2.00×
32,768	2.00 GiB	1.00 GiB	2.00×
65,536	4.00 GiB	2.00 GiB	2.00×
131,072	8.00 GiB	4.00 GiB	2.00×