小扎高调开战闭源AI！推30B智能体模型，消费级显卡就能跑，杨立昆点赞

TL;DR - Meta released Muse Glimmer, an open-weight 30B local agent model designed for multimodal tool use and multi-step tasks on consumer hardware. It advances private, offline personal agents, though latency, token usage, and tooling remain limitations.

• Apache 2.0 weights are available; 4-bit quantization shrinks the model from over 55GB to under 20GB for systems with 24–32GB memory.
• Muse Glimmer supports text and images, structured tool calls, error recovery, long-running workflows, and over 100 languages.
• Meta reports 12 leading results across 22 non-safety benchmarks, particularly in agent tasks, but competitors lead some desktop, coding, multimodal, and safety tests.
• DFlash speculative decoding reportedly improves generation speed by up to 3.1×, while independent tests demonstrated offline Mac control and local coding.