Meta 发布开源权重模型 Muse Spark Open，可在 Mac 本地运行
Meta launches an open-weight AI model that runs on Macs
- 1Meta 发布开源权重模型 Muse Spark Open，官方称其为美国能力最强的开源权重模型
- 2该模型具备 816B 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
- 3据 Engadget，本地运行至少需要 1TB 内存，最佳搭配是搭载 M5 Ultra 芯片的 Mac Studio
- 4Meta 称配合自家编码终端 Muse Code 完成了 Mastodon 客户端修复，并驱动 DaVinci Resolve 审剪素材
官方称美国最强的开源权重模型被推向 Mac 本地运行，但内存门槛把本地部署限制在高配硬件，多数企业的实际入口仍是 API。
- 影响：开源权重在成本与透明度上相对闭源模型有优势；本地运行至少需要 1TB 内存，硬件投入会把多数企业推向 API 路线；编码与智能体演示效果均来自 Meta 自述。
- 参考：可考虑先经 API 平台小范围试用该模型跑编码或智能体流程再评估价值；若考虑本地部署，值得先算清 1TB 内存级 Mac Studio 的采购成本与使用频次是否匹配。
- 依据：性能结论与编码、视频案例均来自 Meta 官方口径，暂无独立验证；1TB 内存需求引自 Engadget；美国最强开源权重为 Meta 自评说法。
1:04 PM PDT · October 15, 2026
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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Lucas is a senior writer at TechCrunch, where he covers artificial intelligence, consumer tech, and startups. He previously covered AI and cybersecurity at Gizmodo. You can contact Lucas by emailing [email protected].
来源：TechCrunch · AI · techcrunch.com