Meta’s first open-weights model in the Muse family, released under Apache 2.0. Muse Glimmer 30B is a dense multimodal model with a built-in 1.8B vision encoder and a 128K+ context window. It is designed for coding, agentic workflows, and visual reasoning.
Local deployment. Ollama ships the model day-0 with an MLX-optimized tag for Apple Silicon: muse-glimmer:30b-mlx. Ollama reports that the MLX build runs 1.5x-1.8x faster with DFlash than the baseline implementation. Other common tags include muse-glimmer:30b, muse-glimmer:30b-q4_K_M, muse-glimmer:30b-q8_0, and muse-glimmer:30b-fp16.
Agent launch flows. The Ollama registry tags the model for direct launch with Claude Code, Codex, Pi, Hermes, and other agent tools that use the Ollama API.
Honest framing. Glimmer is positioned as a smaller, open alternative to the proprietary Muse Spark family. The 30B dense size means the full-precision model requires substantial unified memory, but quantized versions fit on high-end Apple Silicon Macs and modern NVIDIA/AMD GPUs. Independent coding and reasoning benchmarks are still rolling in; treat early claims as preliminary until replicated.