Meta launches an open-weight AI model that runs on Macs
Quick Answer
Meta has launched Muse Spark Open, an open-weight AI model designed for Macs, featuring 816 billion parameters and a 1 million token context window.
Quick Take
It excels in complex coding tasks and requires at least 1 terabyte of RAM, making it ideal for high-performance desktop applications like DaVinci Resolve.
Key Points
- Muse Spark Open is touted as the most capable in the U.S.
- The model requires at least 1 terabyte of RAM for optimal performance.
- It is natively multimodal and designed for complex coding tasks.
- Meta paired the model with Muse Code for enhanced coding capabilities.
- Available now through various API platforms, offering cost-efficiency and transparency.
DeepSignal Analysis
What happened
Meta has introduced Muse Spark Open, an open-weight AI model optimized for Macs, featuring 816 billion parameters and a 1 million token context window. It is designed for complex coding tasks and requires a minimum of 1 terabyte of RAM to operate effectively, particularly on devices like the Mac Studio with the M5 Ultra chip.
Key evidence
- Muse Spark Open is designed to run locally on Macs and requires at least 1 terabyte of RAM, making it suitable for high-performance applications.
- The model has been evaluated by Meta and claims to outperform other popular open-weight models in specific tasks.
- Meta has integrated Muse Spark Open with its Muse Code AI coding terminal for various workflows, including coding fixes for a Mastodon client.
Why it matters
The launch of Muse Spark Open highlights the growing trend of open-weight models, which can offer advantages such as cost efficiency and transparency compared to proprietary models. This development may encourage more developers to adopt open-source solutions in their workflows, potentially leading to innovation in AI applications, particularly in coding and video editing.
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Meta has launched what it calls the “most capable” open-weight model in the United States. Dubbed Muse Spark Open, the model also has the distinction of having been designed to work with Macs.
The new model, which leverages 816 billion parameters and a 1 million token context window, claims to offer superior performance to other popular open weight models, according to evaluation results released by Meta on Thursday.
Muse Spark Open is natively multimodal and built for complex coding tasks and agentic labor. It has also been designed to run locally on Apple’s computers. However, you will still need a lot of power to run the model locally, with a requirement of at least 1 terabyte of RAM, per Engadget. The model will run best via the Mac Studio that comes equipped with the M5 Ultra chip.
Still, if you can muster the memory, Muse Spark Open may prove a significant work horse for coding and other desktop tasks. Meta says that it paired the model with Muse Code, its AI coding terminal, and deployed it to various agentic workflows, including coding fixes for a Mastodon client that included “bug fixes, new features, [and] full build.”
The company says it also deployed it in the service of running DaVinci Resolve, the high-end video editing software, revealing that the model was capable of reviewing and cropping footage.
Open-weight models provide a number of distinct industry advantages that aren’t afforded by closed and proprietary models. Open-weight models can be significantly more cost-efficient and can also offer transparency and flexibility that closed source models don’t allow.
Meta is making the new model available now through a number of different API platforms.
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Lucas is a senior writer at TechCrunch, where he covers artificial intelligence, consumer tech, and startups. He previously covered AI and cybersecurity at Gizmodo. You can contact Lucas by emailing [email protected].
— Originally published at techcrunch.com
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