Is gemma-4-E4B-it-qat-q4_0-unquantized or gemma-4-26B-A4B-it smaller?

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

Which uses less memory at long context?

gemma-4-E4B-it-qat-q4_0-unquantized — its KV cache at 32K context is 3.1x smaller, because of how its attention layers cache.

Model comparison

gemma-4-E4B-it-qat-q4_0-unquantized vs gemma-4-26B-A4B-it

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: gemma-4-E4B-it-qat-q4_0-unquantized's KV cache at 32K is 3.1× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	gemma-4-E4B-it-qat-q4_0-unquantized	gemma-4-26B-A4B-it
Parameters	7.9B	26.5B
Architecture	gemma4	gemma4
Layers	42	30
Native context	131,072	262,144
Mixture of experts	no	yes, 128 experts
Quantizations published	1	46
Smallest quantization	4.80 GiB	8.99 GiB
Q4_K_M	—	15.64 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	gemma-4-E4B-it-qat-q4_0-unquantized	gemma-4-26B-A4B-it	Ratio
4,096	0.12 GiB	0.45 GiB	3.65×
8,192	0.18 GiB	0.61 GiB	3.41×
16,384	0.29 GiB	0.92 GiB	3.20×
32,768	0.51 GiB	1.54 GiB	3.05×
65,536	0.94 GiB	2.79 GiB	2.96×
131,072	1.82 GiB	5.29 GiB	2.91×