Meta发布可在Mac上运行的开源权重AI模型
Meta launches an open-weight AI model that runs on Macs | TechCrunch
以下为原文逐段中文翻译,保留图表与说明。AI 翻译并经 AI 对照复核,仍可能存在错误;核对数据和引用时请同时查看原文。译文发布:2026年10月17日 08:10(北京时间)。

Meta发布了其称为美国“最强”的开源权重(open-weight)模型。该模型名为Muse Spark Open,另一个特点是它被设计为可以配合Mac使用。
根据Meta周四发布的评测结果,这款新模型利用8160亿参数和100万token的上下文窗口,声称性能优于其他流行的开源权重模型。
Muse Spark Open原生支持多模态,面向复杂编码任务和智能体(agentic)工作而构建。它还被设计为可以在苹果电脑上本地运行。不过,要在本地运行该模型仍然需要很强的硬件配置——据Engadget报道,至少需要1TB内存。该模型在配备M5 Ultra芯片的Mac Studio上运行效果最佳。
尽管如此,如果你能凑够内存,Muse Spark Open有望成为编码和其他桌面任务的一匹强力工作马。Meta表示,他们将该模型与其AI编码终端Muse Code配对,并部署到各种智能体工作流中,包括对一个Mastodon客户端的代码修复,涵盖“bug修复、新功能、[以及]完整构建”。
公司还表示,他们将该模型部署用于运行高端视频编辑软件DaVinci Resolve,并透露该模型能够审阅和裁剪视频素材。
开源权重模型提供了一系列闭源专有模型不具备的明显行业优势。开源权重模型在成本效率上可以显著更高,还能提供闭源模型不允许的透明度和灵活性。
Meta目前正在通过多个不同的API平台提供这款新模型。
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Meta launches an open-weight AI model that runs on Macs | TechCrunch

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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这件事
Meta发布其称为美国“最强”的开源权重模型Muse Spark Open,采用8160亿参数与100万token上下文窗口,原生多模态,面向复杂编码与智能体任务设计。据Engadget,本地运行至少需要1TB内存,在配备M5 Ultra芯片的Mac Studio上运行最佳。模型已通过多个API平台提供。
本页概括所列来源的重点,属于独立摘要;完整报道请阅读原站。整理时间:2026年10月17日 04:44(北京时间)。
信息从哪里来
依据TechCrunch报道;内存需求来自Engadget;评测结果为Meta发布的数据。
- TechCrunch 报道正文