Meta 蒸馏出 30B 模型 Muse Glimmer，单张消费级 GPU 可跑智能体
Meta's paper behind, Muse Glimmer 30B, a 30B model distilled from Meta's larger Muse Spark can run AI agents on 1 consumer GPU
Meta 从更大的 Muse Spark 蒸馏出稠密 30B 模型 Muse Glimmer，用模拟应用中的合成智能体轨迹训练，4-bit 权重不到 20 GB，可在单张 RTX 5090 上运行。在多工具测试 MCPAtlas 上它得 75.5，高于 Gemma4-31B 的 54.2 和 Qwen3.6-27B 的 62.5；但在 OSWorld-Verified 上以 65.9 落后于 Qwen3.6-27B 的 75.6。
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Meta's paper behind, Muse Glimmer 30B, a 30B model distilled from Meta's larger Muse Spark can run AI agents on 1 consumer GPU
Open models small enough for consumer hardware are usually general-purpose and weak at long tool-using tasks. That leaves local agents well behind cloud-hosted ones.
Meta distilled Muse Glimmer, a dense 30B model, from its larger Muse Spark and trained it on synthetic agent runs in mock apps. Its 4-bit weights fit in under 20 GB, so it runs on a single RTX 5090.
On MCPAtlas, a multi-tool test, it scored 75.5 against 54.2 for Gemma4-31B and 62.5 for Qwen3.6-27B. It still trails Qwen3.6-27B on OSWorld-Verified, 65.9 against 75.6.