Is gemma-3-27b-it-abliterated-refined-vision or Qwen3-Coder-30B-A3B-Instruct smaller?

gemma-3-27b-it-abliterated-refined-vision is smaller at Q4_K_M: 15.41 GiB against 17.28 GiB.

Which uses less memory at long context?

Qwen3-Coder-30B-A3B-Instruct — its KV cache at 32K context is 1.0x smaller, because of how its attention layers cache.

Model comparison

At Q4_K_M, gemma-3-27b-it-abliterated-refined-vision is the smaller download — 16,546,689,504 bytes against 18,556,689,568.

From the file· summed bytes, KV per layer

	gemma-3-27b-it-abliterated-refined-vision	Qwen3-Coder-30B-A3B-Instruct
Parameters	27.4B	30.5B
Architecture	gemma3	qwen3moe
Layers	62	48
Native context	131,072	262,144
Mixture of experts	no	yes, 128 experts
Quantizations published	34	46
Smallest quantization	5.83 GiB	7.46 GiB
Q4_K_M	15.41 GiB	17.28 GiB
Licence	gemma	apache-2.0

the term that decides long-context viability

Context	gemma-3-27b-it-abliterated-refined-vision	Qwen3-Coder-30B-A3B-Instruct	Ratio
4,096	0.92 GiB	0.38 GiB	2.46×
8,192	1.23 GiB	0.75 GiB	1.65×
16,384	1.86 GiB	1.50 GiB	1.24×
32,768	3.11 GiB	3.00 GiB	1.04×
65,536	5.61 GiB	6.00 GiB	1.07×
131,072	10.61 GiB	12.00 GiB	1.13×