What happened
On October 15, 2026, Meta released the weights for Muse Spark Open. The model has 816 billion parameters in total and 42 billion active, with a 1 million token context, and it takes more than one kind of input. Meta says it is the first model in this class to run on a desktop, using two Apple M5 Ultra Mac Studios and MLX. Each Mac Studio can use up to 512 GB of unified memory, and the chip's memory bandwidth is 1.2 TB/s, so the pair holds about a terabyte. Weights are on Hugging Face and on Amazon, Google, and Microsoft model hosts. API access is listed at Baseten, Fireworks, Groq, Modal, Nebius, OpenRouter, and Together. The license is the Muse Model License, with limited commercial terms. Meta also says custom GPU kernels in SGLang deliver 1.03 to 3.95 times kernel-level speedups, and a 3 percent end-to-end speedup on AMD MI350.
Why it matters
Muse Wonder, released three days earlier, is the model you call. Muse Spark Open is the model you can download. A team that wants to fine-tune or inspect an agent model no longer has to stop at the API. The practical limit is the machine: Meta's own setup is two M5 Ultra Mac Studios, not a laptop. Hosted APIs are the path if you do not have that hardware. Meta says the model met the release thresholds in its Superintelligence Scaling Framework. The full evaluation report is still to come, so the safety sentence is Meta's for now.
Meta says it tested agent workflows entirely on the machines, including shipping iOS changes to the Ice Cubes app and driving DaVinci Resolve through a cut. Those are demonstrations, not a public score anyone else has rerun.
Further tuning is described through PyTorch and TorchTitan. Apple silicon uses MLX, which pulls the weights from Hugging Face.