Meta Releases Muse Spark Open With Mac and Cloud Support, Topping US Open-Weight Index

1. 05:46
   NVIDIA AI · XPicks

   Meta releases Muse Spark Open, an 816B open-weights model

   NVIDIA AI congratulates @alexandr_wang and the @Muse team on their open-weights model release. https://t.co/7JH7PXOnAz In the quoted post, @ArtificialAnlys reports that Meta's Muse Spark Open has 816B parameters (42B active) and scores 39 on the Artificial Analysis Intelligence Index, ranking it the #1 US open-weights model. Muse Spark Open (xhigh) scores 22 points above Meta's 30B dense Muse Glimmer (high, 17). https://t.co/jf31mQNINe

2. 03:29
   Claude · X

   Six projects from the last few weeks that caught our attention: A wildfire analysis prototype that maps the fire’s spread over time and tracks hot spots, made with Opus 5.5.

   Six projects from the last few weeks that caught our attention: A wildfire analysis prototype that maps the fire’s spread over time and tracks hot spots, made with Opus 5.5.

1. 10:54
   vLLM · X

   Meta releases Muse Spark Open with day-one vLLM support

   Great work from the Meta team! vLLM powered RL inference during Muse Spark Open’s training, and now supports its open release from day one. https://t.co/pkhr0rQ9vq https://t.co/VjcbSXPQaY

2. 08:41
   Artificial Analysis · XPicks

   Meta releases Muse Spark Open, scoring 39 on Artificial Analysis Intelligence Index

   Meta has released Muse Spark Open, an 816B (42B active) open-weights model that Artificial Analysis reports scores 39 on its Intelligence Index, making it the #1 US open-weights model. Muse Spark Open (xhigh) scores 22 points above Muse Glimmer (high, 17), Meta's 30B dense open-weights model. https://t.co/jf31mQNINe

3. 06:08
   Ollama · XPicks

   Ollama expands Muse Spark Open access to Pro and Pay-as-you-go plans

   Muse Spark Open is now rolled out to Pro, Max, Pay-as-you-go, and Teams plans on Ollama. https://t.co/OmAFXzZyjm

4. 04:42
   Ollama · X

   Muse Spark Open Is Now Available on Ollama

   Muse Spark Open is now on Ollama. @Meta's open-weight model for coding and tool use, with a 1M-token context window. Run it on Ollama’s cloud: ollama run muse-spark-open:cloud Use with Claude Code: ollama launch claude muse-spark-open:cloud Now available to Max and Teams

5. 04:04
   TechCrunch · AIPicks

   Meta launches Muse Spark Open, an open-weight AI model designed for Macs

   Meta has launched Muse Spark Open, a natively multimodal open-weight model with 816 billion parameters and a 1 million token context window, built for complex coding tasks and agentic workflows. It is designed to run locally on Macs, though Engadget reports it requires at least 1 terabyte of RAM. Meta claims superior performance over other popular open-weight models in its evaluations and is making the model available now through multiple API platforms.

6. 02:34
   The DecoderPicks

   Meta releases Muse Spark Open for coding and agentic tasks

   Meta has released Muse Spark Open, an open-weight model with 816 billion parameters (42 billion active), up to one million tokens of context, and text, image, video, and audio support. Meta reports leads over Qwen 3.8, GLM 5.3, and Kimi K3 in several benchmark categories, while trailing some competitors in coding. Weights are on Hugging Face; use requires the label "Built with Muse Spark Open," and API providers earning more than $20 million annually need a separate agreement with Meta.

7. 02:24
   NVIDIA AI · XPicks

   Meta releases Muse Spark Open for coding and agentic work

   Meta announced Muse Spark Open, describing it as the most capable US open-weight model to date, built for coding, agentic work, and multi-step reasoning. NVIDIA AI says the 816B model was trained on NVIDIA GB300 NVL72 and has a 1M-token context window for working across large codebases. Meta also produced NVFP4 checkpoints optimized for Blackwell Ultra. https://t.co/yAtoxNeYJm https://t.co/HJUKdC1n3D

8. 02:15
   The Verge · AIPicks

   Meta and Apple team up to run Muse Spark Open on Macs

   Meta announced Muse Spark Open today, releasing its weights and saying it can run on two Apple M5 Ultra Mac Studios using the latest MLX framework. Meta says the natively multimodal model has 816 billion total parameters and excels at long-horizon tasks, complex software engineering, and multi-step reasoning. Meta and Apple collaborated over several months, and Apple published a technical post covering MLX, Muse Spark Open, and two other open models.

9. 02:13
   vLLM · XPicks

   vLLM adds day-0 support for Meta’s open-weight Muse Spark Open

   Day-0 support for Meta’s open-weight Muse Spark Open is live on vLLM, verified on NVIDIA and AMD GPUs as well as TPUs! 816B parameters, 42B active per token, a 1M-token context with image, video and audio inputs, built for long-horizon agentic coding. We’re excited to have worked https://t.co/MleWIPrBMD

10. 01:55
    Clément Delangue · X

    Clément Delangue Runs Muse-Spark-Open-816B-A42B-GGUF on Two Mac Studios

    llama serve -hf ggml-org/Muse-Spark-Open-816B-A42B-GGUF:Q2_K (on two Mac studios). Well done @finkd & @johnternus!

11. 01:43
    AWS Machine Learning BlogPicks

    Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart

    Meta’s coding-optimized open-weight model Muse Spark Open is now available in Amazon SageMaker JumpStart in BF16 and NVFP4 variants, with a 1 million-token context window and 816B total parameters, including 42B active per token. AWS provides deployment instructions using SageMaker Studio or the SageMaker Python SDK, plus inference and cleanup examples. At launch, availability covers US East (N. Virginia) and US East (Ohio).

12. 01:39
    宝玉 · XPicks

    Meta releases Muse Spark Open with downloadable weights and conditional commercial use

    Baoyu reports that Meta released Muse Spark Open on October 15, an open-weight model with 816B total parameters, 42B active parameters, and a 1M token context window. It accepts text, images, video, and audio and outputs text; the Muse Model License permits free commercial use subject to attribution, usage restrictions, and a separate agreement for qualifying API businesses. The model card lists minimum memory requirements of 700GB for NVFP4 and 2TB for BF16, while Meta describes optimization for two Mac Studio machines with 512GB unified memory each.

13. 01:37
    Nathan Lambert · X

    Nathan Lambert predicts strong muse spark open adoption if reported scores hold up

    Nathan Lambert predicts adoption of muse spark open will surge if its performance roughly matches its reported scores, calling it the first US open-weight model with near-frontier agentic capabilities. He compares the shift with GLM 5.2 and Kimi K3 in China. In the quoted announcement, @alexandr_wang describes muse spark open as having 816B total params, 42B active, 1M-token context, and native multimodality, built for coding and agentic work. https://t.co/9elY7xigU5

14. 01:35
    Clément Delangue · X

    Meta announces Muse Spark Open weights release today

    Clément Delangue reacts with “Meta is back!” and links to https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B. In the quoted post, @finkd says Muse Spark Open weights are releasing today and that it runs great on new Mac Studios thanks to work with @johnternus and Apple. https://twitter.com/finkd/status/2110778025629347999

15. 01:25
    Nathan Lambert · X

    Nathan Lambert Says He Needs to Blog After @AIatMeta Announces Muse Spark Open

    @AIatMeta says it is releasing Muse Spark Open, which it calls “the most capable US open-weight model to date.” The quoted post says the model is built for coding and agentic work and lists 816B total and 42B active parameters, plus a 1M token [context window](https://t.co/yAtoxNeYJm). Nathan Lambert reacts: “Okay now I really gotta blog 🎉” https://t.co/uKl5X18Xpw

16. 01:14
    Ollama · XPicks

    Meta releases Muse Spark Open, with Ollama availability coming shortly

    Meta announced Muse Spark Open, calling it the most capable US open-weight model to date and describing it as built for coding and agentic work. Meta lists 816B total / 42B active parameters, a 1M token context window, and native text, image, video, and audio support. Ollama welcomed the release and said the model will be available on Ollama shortly. https://twitter.com/AIatMeta/status/2110779754274292212

17. 01:12
    Alexandr Wang · X

    Alexandr Wang Opens Muse Spark and Asks Why 2026 Won’t Be Like 1984

    muse spark open. why 2026 won't be like 1984  https://t.co/jYnOSfZf9u

18. 01:08
    AI at Meta · XPicks

    Meta releases Muse Spark Open for coding and agentic work

    Today Meta is releasing Muse Spark Open, which it calls the most capable US open-weight model to date. Built for coding and agentic work, Meta says it excels at long-horizon tasks, complex software engineering, and multi-step reasoning. Key model specs include 816B total / 42B active parameters, a 1M token context window, and native multimodality across text, image, video, and audio.

19. 01:04
    Alexandr Wang · X

    Alexandr Wang Says Muse Spark Is the Most Capable US Open-Weight Model to Date

    1/ Muse Spark open is the most capable US open-weight model to date. 816B total params, 42B active. 1M-token context. Natively multimodal. Built for coding and agentic work like long-horizon tasks, hard software engineering, and multi-step reasoning. America! 🇺🇲 https://t.co/NjtOB7aY9D

20. 01:03
    Alexandr Wang · X

    Alexandr Wang Says Muse Spark Open Weights Are Out Today

    Muse Spark Open — weights out today! Best US open-source model, and runs on the new Mac Studio 🍎 https://t.co/C8PU0RvlUA

1. 08:00
   Hugging Face BlogPicks

   Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model

   Meta’s Muse Spark Open is an open-weight mixture-of-experts model with approximately 816 billion parameters, around 42 billion active per token, and a context window of up to one million tokens. Trained for agentic coding, it accepts text, images, audio, and video and generates text. Hugging Face provides inference and deployment recipes, reports its own quantization tests, and demonstrates attention-layer LoRA fine-tuning with TRL while keeping the experts frozen.

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