Music models that run on 32 GB
4 models with published weights that fit in 32 GB — a well-specified laptop. Counted at four-bit quantisation, weights only, leaving the machine about a third of its memory and a gigabyte for context: room for roughly 33 billion parameters. A mixture of experts is counted in full, because it is held in full even though only a few experts compute.
Enough for a thirty-billion-parameter model at four-bit with a long context, or a smaller one at higher precision if quality matters more than size. A practical ceiling for a laptop that also has to be a laptop.
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