Meta 将 Muse Ember、Muse Wonder 和 Muse Spark 1.3 上架 Google Cloud
Today we're also bringing Muse Ember to @GoogleCloud along with Muse Wonder and Muse Spark 1.3.
Meta 一次在 Google Cloud 上线三个模型，Muse Ember 主打智能体干活：跨应用走流程、串行调工具、跑测试修代码，还有 1M 上下文和多模态。做 agent 应用或要在云上跑多模态的开发者可以直接试用，看它和同级别轻量模型的差距。
Meta 宣布在 Google Cloud 上提供三款模型：Muse Ember、Muse Wonder 和 Muse Spark 1.3。Muse Ember 是 Meta 目前最小、能效最高的模型，定位为复杂推理执行和日常智能体工作。
Muse Ember 可以跨应用承载工作流、按顺序调用工具、运行测试并做针对性的代码修复。它拥有 1M-token 的上下文窗口，原生支持文本、图像、音频和视频四种模态，可以处理大规模文档集和多种输入格式。
将自家模型放上 Google Cloud，意味着企业用户可以不依赖 Meta 自有基础设施就能调用这些模型，这也延续了模型厂商把旗舰和轻量模型分发到多家云平台的行业做法。
Today we're also bringing Muse Ember to @GoogleCloud along with Muse Wonder and Muse Spark 1.3.
Today we're also bringing Muse Ember to @GoogleCloud along with Muse Wonder and Muse Spark 1.3. AI at Meta @AIatMeta Today we're introducing Muse Ember, our smallest and most efficient model, built for complex reasoning execution and everyday agent work. Muse Ember can carry workflows across apps, call tools in sequence, run tests and make targeted code fixes. With a 1M-token context window and native understanding of text, images, audio and video, it can also work across large document sets and varied inputs. 🔗 View Quoted Tweet📊 6 ⚡
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Muse Ember, Meta, Google Cloud, 多模态.
Source attribution: curated from Meta AI (@AIatMeta).
