Is DeepSeek-R1-Distill-Qwen-32B-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?

gemma-4-12B-it-qat-q4_0-unquantized — its KV cache at 32K context is 3.2x smaller, because of how its attention layers cache.

Model comparison

DeepSeek-R1-Distill-Qwen-32B-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: gemma-4-12B-it-qat-q4_0-unquantized's KV cache at 32K is 3.2× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	DeepSeek-R1-Distill-Qwen-32B-Uncensored	gemma-4-12B-it-qat-q4_0-unquantized
Parameters	32.8B	12.0B
Architecture	qwen2	gemma4
Layers	64	48
Native context	131,072	262,144
Mixture of experts	no	no
Quantizations published	35	2
Smallest quantization	6.77 GiB	6.50 GiB
Q4_K_M	18.49 GiB	—
Licence	mit	apache-2.0

KV cache by context

the term that decides long-context viability

Context	DeepSeek-R1-Distill-Qwen-32B-Uncensored	gemma-4-12B-it-qat-q4_0-unquantized	Ratio
4,096	1.00 GiB	0.72 GiB	1.39×
8,192	2.00 GiB	0.97 GiB	2.06×
16,384	4.00 GiB	1.47 GiB	2.72×
32,768	8.00 GiB	2.47 GiB	3.24×
65,536	16.00 GiB	4.47 GiB	3.58×
131,072	32.00 GiB	8.47 GiB	3.78×