Is gemma-4-12B-it-qat-q4_0-unquantized or Huihui-GLM-4.7-Flash-abliterated-57B smaller?

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

Which uses less memory at long context?

gemma-4-12B-it-qat-q4_0-unquantized — its KV cache at 32K context is 1.7x smaller, because of how its attention layers cache.

Model comparison

gemma-4-12B-it-qat-q4_0-unquantized vs Huihui-GLM-4.7-Flash-abliterated-57B

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: gemma-4-12B-it-qat-q4_0-unquantized's KV cache at 32K is 1.7× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	gemma-4-12B-it-qat-q4_0-unquantized	Huihui-GLM-4.7-Flash-abliterated-57B
Parameters	12.0B	57.3B
Architecture	gemma4	deepseek2
Layers	48	63
Native context	262,144	202,752
Mixture of experts	no	yes, 64 experts
Quantizations published	2	36
Smallest quantization	6.50 GiB	10.79 GiB
Q4_K_M	—	31.37 GiB
Licence	apache-2.0	—

KV cache by context

the term that decides long-context viability

Context	gemma-4-12B-it-qat-q4_0-unquantized	Huihui-GLM-4.7-Flash-abliterated-57B	Ratio
4,096	0.72 GiB	0.52 GiB	1.37×
8,192	0.97 GiB	1.05 GiB	1.08×
16,384	1.47 GiB	2.09 GiB	1.42×
32,768	2.47 GiB	4.18 GiB	1.69×
65,536	4.47 GiB	8.37 GiB	1.87×
131,072	8.47 GiB	16.73 GiB	1.98×