Is Qwen2.5-Coder-0.5B-Instruct or Llama-3.2-1B-Instruct smaller?

Qwen2.5-Coder-0.5B-Instruct is smaller at Q4_K_M: 0.37 GiB against 0.75 GiB.

Which uses less memory at long context?

Qwen2.5-Coder-0.5B-Instruct — its KV cache at 32K context is 2.7x smaller, because of how its attention layers cache.

Model comparison

Qwen2.5-Coder-0.5B-Instruct vs Llama-3.2-1B-Instruct

At Q4_K_M, Qwen2.5-Coder-0.5B-Instruct is the smaller download — 397,808,000 bytes against 807,690,688. At long context the gap widens: Qwen2.5-Coder-0.5B-Instruct's KV cache at 32K is 2.7× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen2.5-Coder-0.5B-Instruct	Llama-3.2-1B-Instruct
Parameters	494M	1.2B
Architecture	qwen2	llama
Layers	24	16
Native context	32,768	131,072
Mixture of experts	no	no
Quantizations published	26	39
Smallest quantization	0.32 GiB	0.39 GiB
Q4_K_M	0.37 GiB	0.75 GiB
Licence	apache-2.0	—

KV cache by context

the term that decides long-context viability

Context	Qwen2.5-Coder-0.5B-Instruct	Llama-3.2-1B-Instruct	Ratio
4,096	0.05 GiB	0.13 GiB	2.67×
8,192	0.09 GiB	0.25 GiB	2.67×
16,384	0.19 GiB	0.50 GiB	2.67×
32,768	0.38 GiB	1.00 GiB	2.67×
65,536	0.75 GiB	2.00 GiB	2.67×
131,072	1.50 GiB	4.00 GiB	2.67×