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Muse Spark Open
Explore Muse Spark Open: an 816B-parameter multimodal model with a 1M-token window, built to run agentic video edits on your own Mac.
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Open Weights, Running on Your Own Machine
Muse Spark Open ships as downloadable weights — a natively multimodal engine for coding, agentic loops and long-horizon tasks that runs on hardware you control.
- Downloadable, US-Built WeightsReleased as the strongest open-weight model from the US so far: 816B total parameters, 42B active, a 1M-token window and multimodality built in, all self-hostable.
- Frontier Power, Desktop FootprintYou no longer need a datacenter to reach frontier-class AI; Muse Spark Open spins up on two Apple M5 Ultra Mac Studios with the latest MLX build.
- Agentic Tasks, Verified LocallyMuse Code on Muse Spark Open shipped genuine iOS fixes and features to Ice Cubes, then ran DaVinci Resolve end to end, reframing the best shots vertically.
Three Ways to Deploy Muse Spark Open
Choose local Apple silicon, your preferred inference engine, or a hosted endpoint — each path gets Muse Spark Open running in minutes.
What Muse Spark Open Can Do
Open weights, native multimodality, desktop-grade memory bandwidth and a million-token window are what let Muse Spark Open handle agentic video tasks end to end.
A Million-Token Context
With a 1M-token window, Muse Spark Open keeps long agentic sessions and multi-step reasoning chains anchored to earlier work.
Agentic Coding Over Long Horizons
Tuned for software engineering and agentic loops, Muse Spark Open sustains long jobs and drives tools such as DaVinci Resolve from start to finish.
Multimodality Built In
Rather than bolting on adapters, Muse Spark Open ingests mixed inputs natively — which is what enables frame-by-frame footage review.
A Pair of Mac Studios as One Machine
Unified memory lets each M5 Ultra GPU address up to 512 GB, so two Mac Studios host the full Muse Spark Open model with a terabyte of pooled memory.
1.2 TB/s of Memory Bandwidth
The M5 Ultra pushes 1.2 TB/s, enough to feed the small per-token slice and keep Muse Spark Open responsive on a desktop.
Safety Tuning Before Release
Open weights received additional safety post-training; Muse Spark Open was scored against the Meta Superintelligence Scaling Framework and cleared its release bar across measured risk categories.
Muse Spark Open: Common Questions
Answers on hardware, licensing, download sources and inference engines for Muse Spark Open.
Which setup runs Muse Spark Open locally?
Two Apple M5 Ultra Mac Studios with the latest MLX build — each offers up to 512 GB of unified memory, and combined they provide roughly a terabyte for the full model.
What are the parameter count and context size?
Muse Spark Open has 816B total parameters with 42B active, a 1M-token context window and native multimodality, built for coding, agentic work and long-horizon tasks.
Where do I get the weights or call the model through an API?
Weights are available on Hugging Face, Amazon SageMaker AI, Google Cloud Model Garden and Microsoft Foundry Models; hosted APIs run at Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter and Together AI.
What engines and hardware does it support?
Pick from MLX, llama.cpp, Unsloth, SGLang, vLLM, TensorRT-LLM or Transformers — tuned for NVIDIA, AMD, Intel and Apple chips, with PyTorch underneath when you want to go deeper.
Which license covers the released weights?
The Muse Model License applies; its limited commercial terms still leave broad room for developers to run Muse Spark Open at no cost.
How was safety evaluated before release?
It was scored against the Meta Superintelligence Scaling Framework covering the most severe risks, received extra safety post-training for open weights, and passed the release thresholds — full details are in the model card.
Start Building with Muse Spark Open
Grab the weights on Hugging Face, query Muse Spark Open through hosted inference partners, and post your results in the Hugging Face Forums.