Is Qwen3.8-27B or glm-4-9b-chat-abliterated smaller?

glm-4-9b-chat-abliterated is smaller at Q4_K_M: 5.82 GiB against 15.66 GiB.

Which uses less memory at long context?

Qwen3.8-27B — its KV cache at 32K context is 10.0x smaller, because of how its attention layers cache.

Model comparison

Qwen3.8-27B vs glm-4-9b-chat-abliterated

At Q4_K_M, glm-4-9b-chat-abliterated is the smaller download — 6,250,927,200 bytes against 16,810,714,336. At long context the gap widens: Qwen3.8-27B's KV cache at 32K is 10.0× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen3.8-27B	glm-4-9b-chat-abliterated
Parameters	27.8B	9.4B
Architecture	qwen35	chatglm
Layers	64	40
Native context	262,144	—
Mixture of experts	no	no
Quantizations published	22	20
Smallest quantization	8.39 GiB	3.66 GiB
Q4_K_M	15.66 GiB	5.82 GiB
Licence	apache-2.0	other

KV cache by context

the term that decides long-context viability

Context	Qwen3.8-27B	glm-4-9b-chat-abliterated	Ratio
4,096	0.25 GiB	2.50 GiB	9.99×
8,192	0.50 GiB	5.00 GiB	10.00×
16,384	1.00 GiB	10.00 GiB	10.00×
32,768	2.00 GiB	20.00 GiB	10.00×
65,536	4.00 GiB	40.00 GiB	10.00×
131,072	8.00 GiB	80.00 GiB	10.00×