Is VieNeu-TTS-0.3B or neutts-air 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

VieNeu-TTS-0.3B vs neutts-air

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

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

KV cache by context

the term that decides long-context viability

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