Meta发布Muse Spark Open开放权重模型 总参数8160亿、上下文100万词元 主攻编程与智能体
Meta 公司 10 月 15 日发布开放权重超级智能模型 Muse Spark Open，并称其为该公司迄今最强的美国开放权重模型；路透社同日报道证实了这一发布。
据 Meta 公布的参数，Muse Spark Open 总参数达 8160 亿、每次推理激活约 420 亿参数，上下文窗口最高 100 万词元，采用混合专家（MoE）架构，原生支持多模态：可输入文本、图像、音频与视频，输出文本。公司称该模型主攻编程与 SI 智能体任务。模型权重已通过 Hugging Face 等渠道开放下载，部分 API 服务商同步提供调用服务；亚马逊 AWS 同日宣布该模型上线其 SageMaker JumpStart 平台。
Meta 表示，该模型可在两台搭载苹果 M5 Ultra 芯片的 Mac Studio 上本地运行。Meta 首席执行官扎克伯格 10 月 15 日发文，提及与苹果高管约翰·特努斯（John Ternus）及苹果 MLX 框架团队的合作。
今年 8 月，Meta 曾发布较小规模的开放权重模型 Muse Glimmer。Muse Spark Open 是该系列迄今规模最大的版本。
Meta Releases Muse Spark Open: 816-Billion-Parameter Open-Weight Model Built for Coding and SI Agents
Meta on October 15 released Muse Spark Open, an open-weight super intelligence model that the company calls its most capable U.S. open-weight model to date; Reuters reported the release the same day.
According to Meta, Muse Spark Open has 816 billion total parameters, with about 42 billion active per inference, a context window of up to one million tokens, and a mixture-of-experts architecture. It is natively multimodal — taking text, image, audio and video as input and producing text — and is aimed at coding and SI agent tasks. The weights are available for download through channels including Hugging Face, with API access offered by several providers; Amazon Web Services announced the same day that the model is available on its SageMaker JumpStart platform.
Meta said the model can run locally on two Mac Studio computers powered by Apple's M5 Ultra chips. In an October 15 post, Meta CEO Mark Zuckerberg noted the collaboration with Apple executive John Ternus and Apple's MLX framework team.
In August, Meta had released Muse Glimmer, a smaller open-weight model. Muse Spark Open is the largest version in the series so far.
发布：GSM·美国（发布链接）
图片来源：图：Meta 位于门洛帕克的总部入口标牌（1 Hacker Way，资料图）。Nokia621 摄，CC BY-SA 4.0，维基共享资源 / Photo: Entrance sign at Meta's headquarters in Menlo Park, 1 Hacker Way (file photo). Nokia621, CC BY-SA 4.0, via Wikimedia Commons
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