Is Deepseeker-Kunou-Qwen2.5-14b or gemma-4-E4B-it smaller?

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

Which uses less memory at long context?

gemma-4-E4B-it — its KV cache at 32K context is 11.9x smaller, because of how its attention layers cache.

Model comparison

Deepseeker-Kunou-Qwen2.5-14b vs gemma-4-E4B-it

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: gemma-4-E4B-it's KV cache at 32K is 11.9× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Deepseeker-Kunou-Qwen2.5-14b	gemma-4-E4B-it
Parameters	14.8B	8.0B
Architecture	qwen2	gemma4
Layers	48	42
Native context	131,072	131,072
Mixture of experts	no	no
Quantizations published	24	36
Smallest quantization	3.36 GiB	3.30 GiB
Q4_K_M	—	4.64 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Deepseeker-Kunou-Qwen2.5-14b	gemma-4-E4B-it	Ratio
4,096	0.75 GiB	0.12 GiB	6.10×
8,192	1.50 GiB	0.18 GiB	8.44×
16,384	3.00 GiB	0.29 GiB	10.45×
32,768	6.00 GiB	0.51 GiB	11.86×
65,536	12.00 GiB	0.94 GiB	12.72×
131,072	24.00 GiB	1.82 GiB	13.20×