Meta Opens Muse Spark Weights for Local Mac Studio Clusters

Meta released Muse Spark Open’s weights Thursday, Oct. 15, and partnered with Apple to run the model across Mac Studio clusters, giving developers a local deployment option that needs multiple high-memory computers. The local deployment uses Apple’s MLX framework to distribute inference across connected computers. The setup links Macs over Thunderbolt 5 and RDMA, allowing the model to run on developers’ hardware instead of through a hosted service. The model has 816 billion parameters, activates 42 billion per token and supports a 1 million-token context window. It accepts text, images, video and audio. The model is designed for coding and other tasks that involve an AI agent completing multiple steps.

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