Meta launches Muse Spark Open, an 816-billion-parameter multimodal model
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Meta has launched Muse Spark Open, an open-weight multimodal model that accepts text, images, audio and video, has about 816 billion parameters and a context window of up to 1 million tokens. The company describes it as its most capable U.S. open-weight model and says it was trained for agentic coding tasks, including reading codebases, writing and debugging code, and using tools.
The model was designed to run locally on Apple computers. According to Engadget, cited by TechCrunch, it requires at least 1 TB of RAM; Meta also paired it with Muse Code and tested it in workflows that included fixing a Mastodon client and editing video in DaVinci Resolve. Muse Spark Open is now available through several API platforms.
Why it matters · editorial interpretation
Muse Spark Open combines multimodal input, a context window of up to 1 million tokens, and training for agentic coding tasks. However, the reported requirement of at least 1 TB of RAM for local use creates a significant barrier, while availability through API platforms offers another way to access it.
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