Meta 发布可在 Mac 本地运行的开源权重模型 Muse Spark Open
Meta launches an open-weight AI model that runs on Macs
Meta 发布开源权重模型 Muse Spark Open，称其为美国最强开源权重模型，采用 8160 亿参数和 100 万 token 上下文窗口，原生多模态，面向复杂编码任务和智能体工作。该模型可本地运行在 Apple 电脑上，但至少需要 1TB 内存，在搭载 M5 Ultra 芯片的 Mac Studio 上运行效果最佳。Meta 将其与 AI 编码终端 Muse Code 配合，用于 Mastodon 客户端的 bug 修复、新功能和完整构建，以及 DaVinci Resolve 的视频素材审阅与裁剪，目前该模型已通过多个 API 平台开放。
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Meta 开源 816B 参数、100 万 token 上下文的多模态模型，并给出本地运行 Mac 的硬件门槛，可据此判断端侧部署的可行性。
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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.