Is gemma-3-1b-it-abliterated or HyperCLOVAX-SEED-Text-Instruct-1.5B smaller?

gemma-3-1b-it-abliterated is smaller at Q4_K_M: 0.75 GiB against 1.06 GiB.

Which uses less memory at long context?

We cannot resolve the KV layout for one of these models, so we do not publish a comparison.

Model comparison

At Q4_K_M, gemma-3-1b-it-abliterated is the smaller download — 806,058,592 bytes against 1,133,974,368.

From the file· summed bytes, KV per layer

	gemma-3-1b-it-abliterated	HyperCLOVAX-SEED-Text-Instruct-1.5B
Parameters	1000M	1.6B
Architecture	gemma3	llama
Layers	26	—
Native context	32,768	—
Mixture of experts	no	no
Quantizations published	23	1
Smallest quantization	0.62 GiB	1.06 GiB
Q4_K_M	0.75 GiB	1.06 GiB
Licence	gemma	other

the term that decides long-context viability

Context	gemma-3-1b-it-abliterated	HyperCLOVAX-SEED-Text-Instruct-1.5B	Ratio
4,096	0.04 GiB	—	—
8,192	0.05 GiB	—	—
16,384	0.08 GiB	—	—
32,768	0.15 GiB	—	—
65,536	0.27 GiB	—	—
131,072	0.52 GiB	—	—