Is Ornith-1.0-9B-Uncensored or gemma-4-12B-it-qat-q4_0-unquantized smaller?

Both publish quantizations; compare the table for the exact sizes.

Which uses less memory at long context?

Ornith-1.0-9B-Uncensored — its KV cache at 32K context is 2.5x smaller, because of how its attention layers cache.

Model comparison

Ornith-1.0-9B-Uncensored vs gemma-4-12B-it-qat-q4_0-unquantized

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: Ornith-1.0-9B-Uncensored's KV cache at 32K is 2.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Ornith-1.0-9B-Uncensored	gemma-4-12B-it-qat-q4_0-unquantized
Parameters	9.4B	12.0B
Architecture	qwen35	gemma4
Layers	32	48
Native context	262,144	262,144
Mixture of experts	no	no
Quantizations published	4	2
Smallest quantization	5.24 GiB	6.50 GiB
Q4_K_M	5.24 GiB	—
Licence	mit	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Ornith-1.0-9B-Uncensored	gemma-4-12B-it-qat-q4_0-unquantized	Ratio
4,096	0.13 GiB	0.72 GiB	5.75×
8,192	0.25 GiB	0.97 GiB	3.87×
16,384	0.50 GiB	1.47 GiB	2.94×
32,768	1.00 GiB	2.47 GiB	2.47×
65,536	2.00 GiB	4.47 GiB	2.23×
131,072	4.00 GiB	8.47 GiB	2.12×