What GPU do I need to run MiniMaxAI/MiniMax-Music3?

2.4B parameters, published in F32. View on Hugging Face

2.4B
Parameters
F32
Native precision
MiniMaxMusic3ForConditionalGeneration
Architecture
text-to-audio
Pipeline

MiniMax-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.

PrecisionWeight sizeRequired VRAMCheapest live fitGPUs neededEst. $/hr (full fit)
FP329.1 GB10.9 GBV1001$0.088/hr
FP8 (quantized)2.3 GB2.7 GBRTX 5060 Ti1$0.110/hr
INT4 (quantized)1.1 GB1.4 GBRTX 5060 Ti1$0.110/hr

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, at $0.088/hr per GPU ($0.088/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.

MiniMax-Music3: common questions

Does MiniMax-Music3 fit on a 12 GB GPU?

Yes. At FP32 it needs 10.9 GB of VRAM, so a 12 GB card holds it with 1.1 GB to spare. An 8 GB card is not enough for it at FP32.

Can MiniMax-Music3 run in 16-bit instead of FP32?

Yes. Its published weights are FP32, 9.1 GB, or 10.9 GB once inference overhead is added. Loading the same weights in 16 bits halves that to 4.5 GB, or 5.4 GB with overhead. That moves it onto a 6 GB card instead of a 12 GB one. How much accuracy the cast costs is model-specific and is not measured here.

What is the least VRAM MiniMax-Music3 can run in?

1.4 GB, at INT4 (quantized), which fits a 6 GB card, against 10.9 GB at FP32. That row assumes an INT4 checkpoint has actually been published for this model, so check its Hugging Face page before planning around it.

Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.

More MiniMaxAI models

All 2 MiniMaxAI models: VRAM and GPU requirements

Related reading: V100 pricing and specs, and The best GPUs for AI, ranked.

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