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Meta launches open-weight AI model designed for Macs

Meta has launched Muse Spark Open, an open-weight model it calls its most capable in the United States, designed to run locally on Apple silicon. The model uses 816 billion parameters and a 1 million token context window.

  • Muse Spark Open uses 816 billion parameters and a 1 million token context window, according to Meta.
  • Meta says the model is natively multimodal and built for complex coding tasks and agentic labour.
  • Running the model locally requires at least 1 terabyte of RAM, per Engadget, and it will run best via the Mac Studio with the M5 Ultra chip.

Meta has launched Muse Spark Open, an open-weight AI model it describes as its most capable in the United States. The model has been designed to work with Macs and run locally on Apple silicon.

According to evaluation results released by Meta on Thursday, the model leverages 816 billion parameters and a 1 million token context window, and claims to offer superior performance to other popular open-weight models.

Meta says Muse Spark Open is natively multimodal and built for complex coding tasks and agentic labour. It has also been designed to run locally on Apple computers, though doing so requires significant hardware: at least 1 terabyte of RAM, per Engadget, with the model running best via the Mac Studio equipped with the M5 Ultra chip.

Meta says it paired the model with Muse Code, its AI coding terminal, and deployed it to various agentic workflows, including coding fixes for a Mastodon client that included bug fixes, new features and a full build. The company also says it deployed the model to run DaVinci Resolve, the video editing software, where it was capable of reviewing and cropping footage.

Open-weight models can be more cost-efficient and offer transparency and flexibility that closed source models do not allow. Meta is making the new model available now through a number of different API platforms.

Why this matters: Open-weight models can be more cost-efficient and offer transparency and flexibility that closed source models do not allow, according to the evidence.

What this means for you: Running Muse Spark Open locally requires at least 1 terabyte of RAM, per Engadget, and works best on a Mac Studio with the M5 Ultra chip.

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