What GPU do I need to run microsoft/VibeVoice-1.5B?
2.7B parameters, published in BF16. View on Hugging Face
VibeVoice-1.5B is published by microsoft on Hugging Face, with 119,947 downloads and 2,464 likes to date. It's a VibeVoiceForConditionalGeneration model built for text-to-speech, published natively in BF16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 caveat: requires a quantized checkpoint actually published for this model — check its Hugging Face page before relying on this row.
Cheapest way to run VibeVoice-1.5B at its published (BF16) precision: 1× RTX 3070 on simplepod, at $0.050/hr per GPU ($0.050/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More microsoft models
- Florence-2-base (232M, F16)
- phi-2 (2.8B, F16)
- Phi-3.5-vision-instruct (4.1B, BF16)
- Phi-3.5-mini-instruct (3.8B, BF16)
- VibeVoice-ASR (8.7B, BF16)
- phi-4 (14.7B, BF16)
