Meta releases Muse Spark Open, an 816B-parameter model built for agents
Alexandr Wang's team is releasing the weights for coding and long-horizon tasks, with local operation requiring two M5 Ultra Mac Studios or substantial GPU memory.
By Ryan Merket · Published · Updated
Primary source: X
Why it matters
Meta is putting Wang's frontier-model work into developers' hands as downloadable weights, but the hardware demands and API-specific license threshold distinguish access from unrestricted deployment.
Meta released the weights for Muse Spark Open on October 15th, giving developers access to an 816-billion-parameter multimodal model designed for coding and long-running agent tasks. Alexandr Wang, who leads Meta's AI effort, described it as the most capable US open-weight model to date; that ranking is Meta's claim, not an independently established result.…