Music models that run on 96 GB

4 models with published weights that fit in 96 GB — a MacBook Pro with 96. Counted at four-bit quantisation, weights only, leaving the machine about a third of its memory and a gigabyte for context: room for roughly 102 billion parameters. A mixture of experts is counted in full, because it is held in full even though only a few experts compute.

An Apple configuration for people who intend to run models rather than occasionally try one. Comfortably holds the seventy-billion class with a very long context, or a mixture-of-experts model whose active parameters are few but whose weights are all resident.

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

Wider