Meta Releases Muse Glimmer: 30B Open-Weights Model Built for Local Agentic AI Workflows

On August 10, 2026, Meta Superintelligence Labs released Muse Glimmer, an open-weights 30-billion-parameter dense multimodal AI model built specifically to run multi-step agentic workflows directly on consumer PCs and Macs. Published under a permissive Apache 2.0 license on Hugging Face, Muse Glimmer is quantized to run under 20GB VRAM on a single GPU, delivering local, zero-latency scheduling, file processing, and coding agent capabilities without cloud token costs.

Compact 30B Dense Architecture Built for Single-GPU Laptops and PCs

Muse Glimmer combines a 30B causal text transformer with a 1.8B ViT-G/14 vision encoder capable of accepting up to 4,096 visual tokens per image. Shipped with DFlash speculative-decoding drafters, the model delivers up to 3.1x faster token generation on an RTX 5090 and 1.8x on Apple M5 Max silicon while operating over a 131,072-token context window.

Key Technical & Model Highlights

• Permissive Apache 2.0 License: Model weights freely available for commercial and personal deployment on Hugging Face.
• Single-GPU Execution: 4-bit quantization reduces memory footprint under 20GB for local execution on Macs and Windows PCs.
• DFlash Speculative Decoding: Integrated speculative drafters significantly accelerate token generation speed.
• Hardware Partner Optimizations: Pre-optimized day-one runtimes for AMD Ryzen AI Max, Intel Core Ultra, Dell, and NVIDIA RTX.

Advancing the Local AI Agent Movement

The release of Muse Glimmer represents a major strategic push toward local agentic execution. By allowing users to run autonomous software agents on personal hardware, Meta avoids recurring cloud API costs while giving developers strict data privacy and offline capability.

Model Summary