Is YuYu1015-Ornith-1.0-9B-abliterated 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 2.0x smaller, because of how its attention layers cache.

Model comparison

YuYu1015-Ornith-1.0-9B-abliterated 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 2.0× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	YuYu1015-Ornith-1.0-9B-abliterated	gemma-4-E4B-it
Parameters	9.4B	8.0B
Architecture	qwen35	gemma4
Layers	32	42
Native context	262,144	131,072
Mixture of experts	no	no
Quantizations published	3	36
Smallest quantization	5.77 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	YuYu1015-Ornith-1.0-9B-abliterated	gemma-4-E4B-it	Ratio
4,096	0.13 GiB	0.12 GiB	1.02×
8,192	0.25 GiB	0.18 GiB	1.41×
16,384	0.50 GiB	0.29 GiB	1.74×
32,768	1.00 GiB	0.51 GiB	1.98×
65,536	2.00 GiB	0.94 GiB	2.12×
131,072	4.00 GiB	1.82 GiB	2.20×