Is Logics-Parsing-v2 or gemma-4-E4B-it smaller?

Logics-Parsing-v2 is smaller at Q4_K_M: 2.33 GiB against 4.64 GiB.

Which uses less memory at long context?

gemma-4-E4B-it — its KV cache at 32K context is 8.9x smaller, because of how its attention layers cache.

Model comparison

Logics-Parsing-v2 vs gemma-4-E4B-it

At Q4_K_M, Logics-Parsing-v2 is the smaller download — 2,497,282,016 bytes against 4,977,171,584. At long context the gap widens: gemma-4-E4B-it's KV cache at 32K is 8.9× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Logics-Parsing-v2	gemma-4-E4B-it
Parameters	4.4B	8.0B
Architecture	qwen3vl	gemma4
Layers	36	42
Native context	262,144	131,072
Mixture of experts	no	no
Quantizations published	12	36
Smallest quantization	1.55 GiB	3.30 GiB
Q4_K_M	2.33 GiB	4.64 GiB
Licence	—	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Logics-Parsing-v2	gemma-4-E4B-it	Ratio
4,096	0.56 GiB	0.12 GiB	4.57×
8,192	1.13 GiB	0.18 GiB	6.33×
16,384	2.25 GiB	0.29 GiB	7.84×
32,768	4.50 GiB	0.51 GiB	8.90×
65,536	9.00 GiB	0.94 GiB	9.54×
131,072	18.00 GiB	1.82 GiB	9.90×