Meta releases Muse Spark Open, an 816B-parameter model built for agents

Meta released the weights for Muse Spark Open, an 816-billion-parameter multimodal model built for coding and long-running agent tasks, on October 15th, according to Alexandr Wang, who leads Meta's AI effort and called it the most capable US open-weight model to date, a ranking Meta claims rather than an independently established result. Local operation requires two M5 Ultra Mac Studios or substantial GPU memory, and an API-specific license threshold distinguishes access from unrestricted deployment.

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 https://runtimewire.com/author/ryan-merket · Published · Updated Primary source: X https://x.com/alexandr wang/status/2110778736434184611 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 https://research.meta.ai/blog/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 https://x.com/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.…