Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows

What changed

Today, we're introducing Muse Glimmer, the next model from Meta Superintelligence Labs, and open sourcing the model weights under a permissive Apache 2.0 license. Muse Glimmer is a 30-billion-parameter model optimized for always-on local agent workflows. It’s small enough to run on a Mac or PC with a single consumer GPU, enabling use cases that range from local agents and function calling, to local coding, and LLM-as-a-judge evaluation.

Why it matters

A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.

How it compares

Related prior coverage to compare against:

• Running a 28.9M parameter LLM on an $8 microcontroller
• Meta is back with Muse Glimmer: local, agentic, multimodal, and open source
• Mistral's Shieldstral: 3B open-weights model for multimodal moderation

• Running a 28.9M parameter LLM on an $8 microcontroller similarity 0.47
• Meta is back with Muse Glimmer: local, agentic, multimodal, and open source similarity 0.43
• Mistral's Shieldstral: 3B open-weights model for multimodal moderation similarity 0.43