Is VieNeu-TTS or orpheus-3b-0.1-ft 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 9.3x smaller, because of how its attention layers cache.

Model comparison

VieNeu-TTS vs orpheus-3b-0.1-ft

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 9.3× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	VieNeu-TTS	orpheus-3b-0.1-ft
Parameters	553M	3.8B
Architecture	qwen2	llama
Layers	24	28
Native context	32,768	131,072
Mixture of experts	no	no
Quantizations published	1	22
Smallest quantization	0.39 GiB	0.91 GiB
Q4_K_M	—	1.95 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	VieNeu-TTS	orpheus-3b-0.1-ft	Ratio
4,096	0.05 GiB	0.44 GiB	9.33×
8,192	0.09 GiB	0.88 GiB	9.33×
16,384	0.19 GiB	1.75 GiB	9.33×
32,768	0.38 GiB	3.50 GiB	9.33×
65,536	0.75 GiB	7.00 GiB	9.33×
131,072	1.50 GiB	14.00 GiB	9.33×