Muse Glimmer 30B
READER SUMMARYA 30-billion-parameter multimodal model optimized for local agent workflows, tool use, coding, function calling, and long-context work, released as downloadable Apache 2.0 weights with consumer-hardware quantizations.
Why this model scores 75.4
The primary release supports meaningful coding, multimodal, reasoning, function-calling, and agentic capability for its size. Open weights, permissive licensing, local operation, consumer-hardware quantization, and broad framework support drive very high deployment and residual control difficulty. Its 30B scale and same-size benchmark framing keep capability below frontier systems, while unrestricted local agent use leaves substantial misuse potential.
News tied to Muse Glimmer 30B
The model score of 75.4 rates this model's risk profile. The overall Doom Index of 58.0 measures the accumulated evidence trajectory. These values answer different questions.
Each article's signed Doom Index movement is divided equally among the exact models named on that article. This prevents multi-model evidence from being counted in full on several model pages. The model's risk score itself never changes the overall index.
Meta releases Muse Glimmer 30B as an open local agent model
Meta released Muse Glimmer 30B weights under Apache 2.0 for local agent workflows, tool use, coding, multimodal reasoning, and function calling. Quantized variants are designed to run on consumer hardware, widening access to persistent agent capabilities without cloud infrastructure.
- Full item movement
- +3.35
- Muse Glimmer 30B equal share
- +3.35
Model score history
- R1Doom Score 75.4
Initial model assessment from Meta's dated primary launch page for the exact Muse Glimmer 30B release.
11 Aug 2026