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Meta's Muse Spark Open announcement is corroborated today by Meta's own research blog plus 9to5Mac and Engadget coverage.

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Home/Tech/Meta unveils Muse Spark Open, 816B-parameter model for M5 Ultra Mac Studio
VERIFIEDBy Xavier Rivera·Thursday, October 15, 2026 at 1:26 PM AST·1 min read

Meta unveils Muse Spark Open, 816B-parameter model for M5 Ultra Mac Studio

Meta has unveiled Muse Spark Open, an 816B-parameter open-weight multimodal model optimized for the M5 Ultra Mac Studio. The model supports on-device agentic coding and reasoning workflows through Apple’s MLX framework.

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Meta unveils Muse Spark Open, 816B-parameter model for M5 Ultra Mac Studio
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TL;DRAI · 60 sec read

Meta unveiled Muse Spark Open, an 816B-parameter open-weight model optimized for the M5 Ultra Mac Studio. The model has 42B active parameters, a 1M-token context window, and runs natively on Apple silicon via MLX. Weights are available on Hugging Face.

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⚐ CORRECTEDThursday, October 15, 2026 at 6:15 PM EDT

Correction (Oct 15): An earlier version said Meta built Muse Spark Open on Apple's MLX framework. Meta optimized the model to run on Apple silicon using MLX; the model was not built on MLX. Evidence: Meta AI Research https://research.meta.ai/blog/muse-spark-open and https://x.com/AIatMeta/status/2110779756828557356

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Meta unveiled Muse Spark Open, an open-weight model it describes as the most capable US open-weight model to date and optimized specifically for the Mac Studio with M5 Ultra.

Model specifications include 816B total parameters. The release carries 42B active parameters and a 1M-token context window. It is natively multimodal and targets coding plus agentic workloads.
Meta states the model excels at long-horizon tasks, complex software engineering, and multi-step reasoning.

Meta states the model excels at long-horizon tasks, complex software engineering, and multi-step reasoning. Weights are available now on Hugging Face.

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Optimization targets Apple silicon via MLX. Meta optimized Muse Spark Open to run on Apple silicon using the latest version of Apple's open-source MLX array framework, which is tuned for unified memory.
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The company says two Mac Studios with M5 Ultra chips together provide a terabyte of unified memory and 1.2 TB/s bandwidth per machine, allowing the full model to run locally. Each Mac Studio supports up to 512 GB of unified memory.
The company says two Mac Studios with M5 Ultra chips together provide a terabyte of unified memory and 1.2 TB/s bandwidth per machine, allowing the full model to run locally.

Desktop agentic workflows run entirely on-device. Meta tested the model on tasks including shipping code changes to the open-source Mastodon client Ice Cubes and driving DaVinci Resolve to review and crop footage frame by frame.
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Apple highlights local MLX experimentation. A new post on Apple’s Machine Learning Research site notes that MLX enables researchers and developers to test the latest models privately on Apple hardware.
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