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

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

Which uses less memory at long context?

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

Model comparison

VieNeu-TTS-0.3B vs VieNeu-TTS

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: VieNeu-TTS'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	VieNeu-TTS
Parameters	244M	553M
Architecture	qwen3	qwen2
Layers	28	24
Native context	4,096	32,768
Mixture of experts	no	no
Quantizations published	2	1
Smallest quantization	0.19 GiB	0.39 GiB
Q4_K_M	—	—
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	VieNeu-TTS	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×