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Meta releases 816B Muse Spark Open model optimized for Mac Studios

Meta has released Muse Spark Open, an 816-billion-parameter open-weight model with a 1 million token context window. The model is optimized to run locally on paired Mac Studios and includes a license prohibiting the misrepresentation of its output as human-written.

Read the full story at AWS Machine Learning Blog ↗

Timeline · 27 reports

  1. 2026-10-17 14:33 · r/LocalLLaMA
    CUDA: faster MMVQ for low-bit types by am17an · Pull Request #30517 · ggml-org/llama.cpp
  2. 2026-10-17 12:23 · TestingCatalog AI News
    ICYMI: Meta's Muse Spark Open is optimized for new Mac Studio
  3. 2026-10-17 11:07 · r/LocalLLaMA
    model : add Kolibri-1 (Aleph-Alpha) support by riteme · Pull Request #30673 · ggml-org/llama.cpp
  4. 2026-10-16 20:10 · r/artificial
    Meta releases 816B-parameter Muse Spark Open model, runs locally on paired Mac Studios
  5. 2026-10-16 17:23 · AI Insider
    Meta Releases Muse Spark Open, an 816B-Parameter Open-Weight AI Model Built to Run on Macs
  6. 2026-10-16 14:12 · r/artificial
    Meta releases Muse Spark Open: it runs on two Mac Studios, and its license bans passing off its output as human-written
  7. 2026-10-16 08:28 · r/LocalLLaMA
    model : MTP support for Mellum2.1 by Xarbirus · Pull Request #30612 · ggml-org/llama.cpp
  8. 2026-10-16 07:52 · r/LocalLLaMA
    cpu : reduce AVX2 tiled accumulators together by trivalik · Pull Request #30296 · ggml-org/llama.cpp
  9. 2026-10-16 04:37 · Mint AI
    Meta launches Muse Spark open model to challenge China’s AI dominance
  10. 2026-10-16 02:31 · r/machinelearningnews
    Meta released Muse Spark Open: 816B MoE (42B active), 1M context, NVFP4 runs on 2x M5 Ultra Mac Studios. Benchmarks vs Kimi K3, GLM 5.3 and Qwen3.8 inside
  11. 2026-10-16 02:26 · MarkTechPost
    Meta Releases Muse Spark Open: 816B Open-Weight MoE With 1M Context
  12. 2026-10-15 22:20 · SiliconANGLE AI
    Meta releases 816B-parameter Muse Spark Open for coding and agent work
  13. 2026-10-15 21:51 · r/LocalLLaMA
    model: add Muse Spark Open (text, vision and audio) by ServeurpersoCom · Pull Request #30616 · ggml-org/llama.cpp
  14. 2026-10-15 21:40 · r/ArtificialInteligence
    Thanks for the open weights, Meta, but how many of us can actually run Muse Spark Open locally?
  15. 2026-10-15 20:55 · Mashable AI
    Apple and Meta are getting along, and the new Muse Spark Open model brought them together
  16. 2026-10-15 20:04 · TechCrunch AI
    Meta launches an open-weight AI model that runs on Macs
  17. 2026-10-15 19:13 · r/LocalLLM
    Muse Spark Open!
  18. 2026-10-15 18:00 · NVIDIA Technical Blog
    Scale Agentic Coding Workflows with Meta’s Muse Spark Open on NVIDIA GB300 NVL72
  19. 2026-10-15 17:55 · PyTorch Blog
    Muse Spark Is Now an Open-Weights Model
  20. 2026-10-15 17:45 · r/singularity
    META has released Muse Spark Open, the most capable US open-weight model to date
  21. 2026-10-15 17:43 · AWS Machine Learning Blog
    Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart
  22. 2026-10-15 17:31 · r/LocalLLM
    Meta releases new open-weight Muse Spark model.
  23. 2026-10-15 17:06 · r/LocalLLaMA
    Unsloth Muse Spark Open is out!
  24. 2026-10-15 17:05 · r/LocalLLaMA
    UNSLOTH MUSE SPARK OPEN!!
  25. 2026-10-15 17:03 · r/LocalLLaMA
    Introducing Muse Spark Open: the most capable US open-weight model to date
  26. 2026-10-15 17:00 · The New Stack AI
    Meta ships Muse Spark Open, its answer to China’s best open-weight models
  27. 2026-10-15 17:00 · Wall Street Journal Technology
    Meta and Apple, Longtime Foes, Team Up to Put Open-Weight AI on Macs

More stories

  1. Apple and Meta collaborate to run open-source Muse AI model on Macs — Axios AI+
  2. Amazon launches Bee Frontier AI wearable amid privacy concerns — CNBC Technology
  3. Meta Removes AI Training Language from Terms After Backlash — The Verge AI
  4. NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning — NVIDIA Technical Blog
  5. Meta engineers adopt AI-native approach to build new app Forum — Engineering at Meta
  6. Spy Games in Silicon Valley — Wall Street Journal Technology
  7. Notes from a 2 AM On-Call: When llama-swap's Model Reload Hit a 30s Timeout Wall — DEV Community — Machine Learning
  8. Round 3: Tested 128K context on a 3090 with real code (Django) and a novel. Finding one thing is solid, counting is hopeless — r/LocalLLM

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