Is Huihui-Qwen3-VL-4B-Instruct-abliterated or Qwen3-VL-2B-Instruct smaller?

Qwen3-VL-2B-Instruct is smaller at Q4_K_M: 1.03 GiB against 2.33 GiB.

Which uses less memory at long context?

Qwen3-VL-2B-Instruct — its KV cache at 32K context is 1.3x smaller, because of how its attention layers cache.

Model comparison

Huihui-Qwen3-VL-4B-Instruct-abliterated vs Qwen3-VL-2B-Instruct

At Q4_K_M, Qwen3-VL-2B-Instruct is the smaller download — 1,107,409,952 bytes against 2,497,282,240. At long context the gap widens: Qwen3-VL-2B-Instruct's KV cache at 32K is 1.3× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Huihui-Qwen3-VL-4B-Instruct-abliterated	Qwen3-VL-2B-Instruct
Parameters	4.4B	2.1B
Architecture	qwen3vl	qwen3vl
Layers	36	28
Native context	262,144	262,144
Mixture of experts	no	no
Quantizations published	51	46
Smallest quantization	0.98 GiB	0.50 GiB
Q4_K_M	2.33 GiB	1.03 GiB
Licence	—	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Huihui-Qwen3-VL-4B-Instruct-abliterated	Qwen3-VL-2B-Instruct	Ratio
4,096	0.56 GiB	0.44 GiB	1.29×
8,192	1.13 GiB	0.88 GiB	1.29×
16,384	2.25 GiB	1.75 GiB	1.29×
32,768	4.50 GiB	3.50 GiB	1.29×
65,536	9.00 GiB	7.00 GiB	1.29×
131,072	18.00 GiB	14.00 GiB	1.29×