What GPU do I need to run MiniMaxAI/MiniMax-Music3?
2.4B parameters, published in F32. View on Hugging Face
Set up MiniMax-Music3MiniMax-Music3 is published by MiniMaxAI on Hugging Face, with 22,781 downloads and 1,322 likes to date. It's a MiniMaxMusic3ForConditionalGeneration model built for text-to-audio, published natively in F32.
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 MiniMax-Music3 at its published (F32) precision: 1× V100 on simplepod, at $0.060/hr per GPU ($0.060/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 MiniMaxAI models
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- MiniMax-M2 (228.7B, F8_E4M3)
- MiniMax-M3 (427.0B, BF16)
