What GPU do I need to run moondream/moondream3-preview?
9.3B parameters, published in BF16. View on Hugging Face
moondream3-preview is published by moondream on Hugging Face, with 166,938 downloads and 682 likes to date. It's a HfMoondream model built for image-text-to-text, 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 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run moondream3-preview at its published (BF16) precision: 1× RTX A5000 on runpod, at $0.160/hr per GPU ($0.160/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
moondream3-preview: common questions
Does moondream3-preview fit on a 24 GB GPU?
Yes. At BF16 it needs 20.7 GB of VRAM, so a 24 GB card holds it with 3.3 GB to spare. A 16 GB card is not enough for it at BF16.
What is the least VRAM moondream3-preview can run in?
5.2 GB, at INT4 (quantized), which fits a 6 GB card, against 20.7 GB at BF16. That row assumes an INT4 checkpoint has actually been published for this model, so check its Hugging Face page before planning around it.
Does quantizing moondream3-preview lower the GPU bill?
Yes. At BF16 the cheapest live fit is one RTX A5000 on runpod at $0.160/hr. At INT4 (quantized) it drops to one RTX 3060 on simplepod at $0.080/hr, provided a quantized checkpoint exists for it.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More moondream models
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- Qwen3-8B (8.2B, BF16)
- Qwen3.6-35B-A3B-FP8 (36.0B, F8_E4M3)
- Qwen3.5-9B (9.7B, BF16)