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Muse Spark Open
Muse Spark Open brings open weights, 816B parameters, 1M-token context, and native multimodality to agentic video editing on two M5 Ultra Mac Studios.
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Why Muse Spark Open Fits Your Desktop
Muse Spark Open ships as open weights: a natively multimodal model for coding, agentic work, and long-horizon tasks that you can host yourself.
- Open Weights, Built in the USLaunched as the most capable US open-weight model yet, Muse Spark Open pairs 816B total parameters (42B active) with a 1M-token window and native multimodality.
- Frontier Power at Your DeskMuse Spark Open shouldn't live only in a data center. It runs on your desk with two Apple M5 Ultra Mac Studios and the latest MLX build.
- Agentic Work, Proven on HardwareMuse Code on Muse Spark Open delivered real iOS fixes and features to Ice Cubes, then controlled DaVinci Resolve end to end and cropped the best frames vertically.
Three Ways to Deploy Muse Spark Open
Choose local Apple silicon, your preferred inference engine, or a hosted API to get Muse Spark Open working.
What Muse Spark Open Can Do
A million-token window, native multimodality, desktop-class memory bandwidth, and open weights — the pieces of Muse Spark Open that make agentic video work possible.
A 1M-Token Context
Muse Spark Open keeps a 1M-token window, so long agentic sessions and multi-step reasoning chains retain earlier work in view.
Agentic Coding That Goes the Distance
Tuned for software engineering and agentic loops, Muse Spark Open handles long-horizon jobs and end-to-end control of tools like DaVinci Resolve.
Built-In Multimodality
Muse Spark Open reads mixed inputs directly instead of through add-on adapters, which is what enables frame-by-frame footage review.
Two Mac Studios as One Supercomputer
Unified memory lets each M5 Ultra GPU address up to 512 GB, so two Mac Studios hold the full Muse Spark Open model as one machine with a terabyte of pooled memory.
1.2 TB/s of Memory Bandwidth
The M5 Ultra moves 1.2 TB/s of bandwidth — enough to feed the small per-token slice and keep Muse Spark Open responsive on a desktop.
Safety Tuned Before Release
Open weights receive extra 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 about running, licensing, and downloading Muse Spark Open.
What hardware do I need to run Muse Spark Open locally?
Two Apple M5 Ultra Mac Studios with the latest MLX build — each supports up to 512 GB of unified memory, and together they provide about a terabyte for the full model.
How large is the model, and how much context can it handle?
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 can I download the weights or access Muse Spark Open via API?
Weights are available on Amazon SageMaker AI, Google Cloud Model Garden, Hugging Face, and Microsoft Foundry Models; hosted APIs run at Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter, and Together AI.
Which inference engines and chips are supported?
Choose from MLX, llama.cpp, Unsloth, SGLang, vLLM, TensorRT-LLM, or Transformers — tuned for NVIDIA, AMD, Intel, and Apple hardware, with PyTorch underneath when you want to go deeper.
What license applies to the released weights?
Licensing follows the Muse Model License; its limited commercial terms still leave broad room for many developers to run Muse Spark Open at no cost.
How was Muse Spark Open evaluated for safety before release?
It was scored against the Meta Superintelligence Scaling Framework for the most severe risks, received extra safety post-training for open weights, and cleared release thresholds — details are in the model card.
Download Muse Spark Open Weights Now
Pull Muse Spark Open from Hugging Face, call it through hosted inference partners, and share your builds in the Hugging Face Forums.