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Meta's release of Muse Spark Open is an open-weight mixture-of-experts model with 816B total parameters, 42B active per token, and a 1M-token context window, and the article claims it leads open models on the MCP-Atlas benchmark and runs on two M5 Ultra Mac Studios. For practitioners, the key points are the architecture (sparse activation keeps inference cost closer to a 42B dense model) and the deployability claim, which should be verified against independent benchmarks and hardware reports before being taken at face value.

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Meta Releases Muse Spark Open: 816B Open-Weight MoE With 1M Context

MarkTechPost16 octombrie 20261 min de cititArticolul și perspectiva sunt în engleză.

Meta released Muse Spark Open, an 816B-parameter open-weight MoE model with 42B active parameters and a 1M-token context. It leads open models on MCP-Atlas and runs on 2 M5 Ultra Mac Studios. The post Meta Releases Muse Spark Open: 816B Open-Weight MoE With 1M Context appeared first on MarkTechPost.

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