Is glm-4-9b-chat-abliterated or Qwen3.6-27B smaller?

glm-4-9b-chat-abliterated is smaller at Q4_K_M: 5.82 GiB against 15.41 GiB.

Which uses less memory at long context?

Qwen3.6-27B — its KV cache at 32K context is 10.0x smaller, because of how its attention layers cache.

Model comparison

glm-4-9b-chat-abliterated vs Qwen3.6-27B

At Q4_K_M, glm-4-9b-chat-abliterated is the smaller download — 6,250,927,200 bytes against 16,547,397,888. At long context the gap widens: Qwen3.6-27B'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

	glm-4-9b-chat-abliterated	Qwen3.6-27B
Parameters	9.4B	27.8B
Architecture	chatglm	qwen35
Layers	40	64
Native context	—	262,144
Mixture of experts	no	no
Quantizations published	20	40
Smallest quantization	3.66 GiB	8.74 GiB
Q4_K_M	5.82 GiB	15.41 GiB
Licence	other	apache-2.0

KV cache by context

the term that decides long-context viability

Context	glm-4-9b-chat-abliterated	Qwen3.6-27B	Ratio
4,096	2.50 GiB	0.25 GiB	9.99×
8,192	5.00 GiB	0.50 GiB	10.00×
16,384	10.00 GiB	1.00 GiB	10.00×
32,768	20.00 GiB	2.00 GiB	10.00×
65,536	40.00 GiB	4.00 GiB	10.00×
131,072	80.00 GiB	8.00 GiB	10.00×