Is chandra-ocr-2 or gemma-4-E4B-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-E4B-it-qat-q4_0-unquantized — its KV cache at 32K context is 2.0x smaller, because of how its attention layers cache.

Model comparison

chandra-ocr-2 vs gemma-4-E4B-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-E4B-it-qat-q4_0-unquantized'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

	chandra-ocr-2	gemma-4-E4B-it-qat-q4_0-unquantized
Parameters	5.3B	7.9B
Architecture	qwen35	gemma4
Layers	32	42
Native context	262,144	131,072
Mixture of experts	no	no
Quantizations published	14	1
Smallest quantization	1.98 GiB	4.80 GiB
Q4_K_M	2.86 GiB	—
Licence	other	apache-2.0

KV cache by context

the term that decides long-context viability

Context	chandra-ocr-2	gemma-4-E4B-it-qat-q4_0-unquantized	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×