Is Orca-2-13b-Alpaca-Uncensored or Qwen3-8B smaller?

Qwen3-8B is smaller at Q4_K_M: 4.68 GiB against 7.33 GiB.

Which uses less memory at long context?

Qwen3-8B — its KV cache at 32K context is 5.6x smaller, because of how its attention layers cache.

Model comparison

Orca-2-13b-Alpaca-Uncensored vs Qwen3-8B

At Q4_K_M, Qwen3-8B is the smaller download — 5,027,783,488 bytes against 7,865,978,624. At long context the gap widens: Qwen3-8B's KV cache at 32K is 5.6× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Orca-2-13b-Alpaca-Uncensored	Qwen3-8B
Parameters	13.0B	8.2B
Architecture	llama	qwen3
Layers	40	36
Native context	4,096	40,960
Mixture of experts	no	no
Quantizations published	32	51
Smallest quantization	2.70 GiB	2.12 GiB
Q4_K_M	7.33 GiB	4.68 GiB
Licence	other	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Orca-2-13b-Alpaca-Uncensored	Qwen3-8B	Ratio
4,096	3.13 GiB	0.56 GiB	5.56×
8,192	6.25 GiB	1.13 GiB	5.56×
16,384	12.50 GiB	2.25 GiB	5.56×
32,768	25.00 GiB	4.50 GiB	5.56×
65,536	50.00 GiB	9.00 GiB	5.56×
131,072	100.00 GiB	18.00 GiB	5.56×