Meta 发布 Muse Glimmer 技术报告，30B 开源权重模型面向消费级硬件智能体任务
Today we published a technical report on Muse Glimmer, our 30B open-weight model built for agentic tasks on consumer hardware.
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Meta 发布 Muse Glimmer 技术报告，这是一个 30B 开源权重模型，面向消费级硬件上的智能体任务。该模型在 4-bit 精度下可在 Mac 或 PC 的单张消费级 GPU 上以实用速度运行，在工具使用和多步规划上领先同规模开源模型。报告涵盖模型架构、蒸馏配方和量化等内容。
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Meta 公开了 30B 开源权重模型的技术报告，涵盖架构、蒸馏配方与量化，可供关注端侧智能体部署的读者参考。
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Today we published a technical report on Muse Glimmer, our 30B open-weight model built for agentic tasks on consumer hardware.
It runs at practical speeds on a Mac or PC with a single consumer GPU at 4-bit precision, and leads comparably-sized open models on tool use and multi-step planning.
Read about the model architecture, distillation recipe, quantization and more: https://t.co/H7n9qeDhxn