Running AI on Your Own Device: Muse Spark Open and Realistic Options for Creators
Updated 16 October 2026 · by AutomateWithAI
What is Muse Spark Open?
According to Meta's announcement (15 October 2026), Muse Spark Open is a natively multimodal, open-weight model with 816B total parameters, 42B of them active, and a 1M-token context window. Meta built it for coding and agentic work. The weights are released under the Muse Model License, which has limited commercial terms.
Can I really run it at home?
Technically yes, but not on a normal laptop. Meta says it is the first model in its class to run on a desktop using two Apple M5 Ultra Mac Studios with Apple's MLX framework. Each Mac Studio's GPU can use up to 512 GB of unified memory, so two together hold the whole model, about a terabyte. That is a very expensive setup, far beyond what most creators own.
How can creators try it without that hardware?
Meta lists hosted API platforms: Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter and Together AI. The weights are also on Hugging Face, Amazon SageMaker AI, Google Cloud Model Garden and Microsoft Foundry Models. Hosted platforms usually charge per use, so check each one's pricing.
Meta's own creator-relevant demo: running on-device, the model drove DaVinci Resolve end to end, reviewing footage frame by frame to find the strongest moments and crop them vertically.
What are realistic on-device AI options for creators?
- Ollama (free, open source) runs smaller AI models locally on macOS, Windows and Linux. For example,
ollama run gemma4downloads and chats with Google's Gemma 4. Good for drafting captions, hooks and scripts offline. How fast it runs depends on your computer's memory and graphics. - Local voiceovers: see our guide to VoiceStudio, a free local ElevenLabs alternative, which also runs on the CPU without a dedicated GPU, just more slowly.
Why run AI locally at all?
Local tools keep your drafts and recordings on your own computer, work offline, and have no per-message limits. The trade-off is that smaller local models are usually less capable than the biggest cloud models, and big models need serious hardware.
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Get the PDF for $10Frequently asked questions
What hardware does Muse Spark Open need to run at home?
Meta says it runs on a desktop using two Apple M5 Ultra Mac Studios with the MLX framework, which together provide about a terabyte of unified memory.
How big is Muse Spark Open?
816B total parameters with 42B active, and a 1M-token context window, according to Meta's 15 October 2026 announcement.
Can I use Muse Spark Open without a Mac Studio?
Yes, through hosted API platforms Meta lists, such as OpenRouter, Together AI, Groq and Fireworks AI. These usually charge per use.
What can I run on a normal computer?
Smaller open models through free tools like Ollama, which runs on macOS, Windows and Linux, plus local voice tools like VoiceStudio.