Sparse Expert On-Device Reasoning
Mixture-of-experts architectures that activate only a small fraction of their parameters per token let full chain-of-thought reasoning, tool calling and multi-step agent workloads run locally and privately on consumer hardware rather than in datacenters.
Developed mainly in: United StatesImpacting: North America, Europe, India and China
Meta Superintelligence Labs published the weights for Muse Spark Open, a multimodal mixture-of-experts model with 816B total and 42B active parameters and a 1M-token context, tuned for coding and long-horizon agentic tasks. It runs locally on a pair of Apple M5 Ultra Mac Studios via MLX, and is hosted on Groq, Together AI, Hugging Face and other platforms.
This is one of 24 signals scored in our latest scan.
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First flagged
14 October 2026 · score 6.0/10
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Latest signals
Tracked from 2 signals, each traced to its source.
- Meta releases 816-billion-parameter open-weight agentic model runnable on two Mac desktops
Research · 16 Oct 2026
- Liquid AI releases 24B sparse mixture-of-experts reasoning model for on-device agents
Huggingface · 14 Oct 2026
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