Meta publishes Muse Glimmer 30B: on-device open-source agentic model

A 30B-parameter agent model meant to run on your own hardware — paper posted Oct 19 under the Apache 2.0 license.

In this brief: 2 sections 1 min read

- Built for autonomous agentic tasks: multi-step reasoning, reliable tool use, failure recovery.
- Runs locally without cloud infrastructure; trained on data from over a hundred languages.
- Quantized to roughly 4-bit precision for single-GPU inference.
- The paper claims state of the art versus Gemma4-31B and Qwen3.6-27B on tool use and multi-step planning.
- Those comparisons come from Meta itself, not an independent group.
- A paper posting, not a new weights drop; a separate weights note already treated the model as released.

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