Is Qwen3.8-27B or CodeLlama-34b-instruct-hf smaller?

Qwen3.8-27B is smaller at Q4_K_M: 15.66 GiB against 18.83 GiB.

Which uses less memory at long context?

Qwen3.8-27B — its KV cache at 32K context is 3.0x smaller, because of how its attention layers cache.

Model comparison

Qwen3.8-27B vs CodeLlama-34b-instruct-hf

At Q4_K_M, Qwen3.8-27B is the smaller download — 16,810,714,336 bytes against 20,219,900,064. At long context the gap widens: Qwen3.8-27B's KV cache at 32K is 3.0× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen3.8-27B	CodeLlama-34b-instruct-hf
Parameters	27.8B	33.7B
Architecture	qwen35	llama
Layers	64	48
Native context	262,144	16,384
Mixture of experts	no	no
Quantizations published	22	12
Smallest quantization	8.39 GiB	13.23 GiB
Q4_K_M	15.66 GiB	18.83 GiB
Licence	apache-2.0	llama2

KV cache by context

the term that decides long-context viability

Context	Qwen3.8-27B	CodeLlama-34b-instruct-hf	Ratio
4,096	0.25 GiB	0.75 GiB	3.00×
8,192	0.50 GiB	1.50 GiB	3.00×
16,384	1.00 GiB	3.00 GiB	3.00×
32,768	2.00 GiB	6.00 GiB	3.00×
65,536	4.00 GiB	12.00 GiB	3.00×
131,072	8.00 GiB	24.00 GiB	3.00×