Is neutts-air or VieNeu-TTS-0.3B smaller?

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

Which uses less memory at long context?

neutts-air — its KV cache at 32K context is 2.3x smaller, because of how its attention layers cache.

Model comparison

neutts-air vs VieNeu-TTS-0.3B

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: neutts-air's KV cache at 32K is 2.3× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	neutts-air	VieNeu-TTS-0.3B
Parameters	748M	244M
Architecture	qwen2	qwen3
Layers	24	28
Native context	32,768	4,096
Mixture of experts	no	no
Quantizations published	6	2
Smallest quantization	0.43 GiB	0.19 GiB
Q4_K_M	0.43 GiB	—
Licence	apache-2.0	cc-by-nc-4.0

KV cache by context

the term that decides long-context viability

Context	neutts-air	VieNeu-TTS-0.3B	Ratio
4,096	0.05 GiB	0.11 GiB	2.33×
8,192	0.09 GiB	0.22 GiB	2.33×
16,384	0.19 GiB	0.44 GiB	2.33×
32,768	0.38 GiB	0.88 GiB	2.33×
65,536	0.75 GiB	1.75 GiB	2.33×
131,072	1.50 GiB	3.50 GiB	2.33×