Is gemma-4-12B-it-qat-q4_0-unquantized or L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B smaller?

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

Which uses less memory at long context?

gemma-4-12B-it-qat-q4_0-unquantized — its KV cache at 32K context is 3.4x smaller, because of how its attention layers cache.

Model comparison

gemma-4-12B-it-qat-q4_0-unquantized vs L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: gemma-4-12B-it-qat-q4_0-unquantized's KV cache at 32K is 3.4× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	gemma-4-12B-it-qat-q4_0-unquantized	L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B
Parameters	12.0B	7.5B
Architecture	gemma4	llama
Layers	48	67
Native context	262,144	131,072
Mixture of experts	no	no
Quantizations published	2	10
Smallest quantization	6.50 GiB	2.73 GiB
Q4_K_M	—	4.27 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	gemma-4-12B-it-qat-q4_0-unquantized	L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B	Ratio
4,096	0.72 GiB	1.05 GiB	1.46×
8,192	0.97 GiB	2.09 GiB	2.16×
16,384	1.47 GiB	4.19 GiB	2.85×
32,768	2.47 GiB	8.38 GiB	3.39×
65,536	4.47 GiB	16.75 GiB	3.75×
131,072	8.47 GiB	33.50 GiB	3.96×