Music models that run on 128 GB

4 models with published weights that fit in 128 GB — a large Mac or a server card. Counted at four-bit quantisation, weights only, leaving the machine about a third of its memory and a gigabyte for context: room for roughly 136 billion parameters. A mixture of experts is counted in full, because it is held in full even though only a few experts compute.

A large Mac or a server card. This is where the biggest openly published models come within reach — and where the distinction between total and active parameters starts to decide everything, because a mixture of experts computes with a fraction of itself and must still be held whole.

Models that compose and render music from a description. They are priced per generation or per second of audio rather than per token. The question that decides whether you can use one commercially is not the price but the terms: makers differ sharply on who owns the output and whether it may be sold, and that is on the maker's page, not in the rate card.

• YuE2-3BMultimodal Art Projection3.6B≈2.4 GB at 4-bit
• ACE-Step-v1-3.5BACE-Step3.5B≈2.3 GB at 4-bit
• musicgen-melodyfacebook1.6B≈1.0 GB at 4-bit
• musicgen-smallAI at Meta0.6B≈0.4 GB at 4-bit

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