What GPU do I need to run facebook/sam3?
860M parameters, published in F32. View on Hugging FaceGated
Set up sam3sam3 is published by facebook on Hugging Face, with 2,241,669 downloads and 2,851 likes to date. It's a Sam3VideoModel model built for mask-generation, published natively in F32, and gated: you'll need to accept the model's terms on Hugging Face before downloading weights.
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 sam3 at its published (F32) precision: 1× P4 on akash, at $0.032/hr per GPU ($0.032/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 facebook models
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- wav2vec2-conformer-rope-large-960h-ft (593M, F32)
- wav2vec2-large-robust-ft-libri-960h (315M, F32)
- bert-base-uncased (110M, F32)
