Meta is back with Muse Glimmer: local, agentic, multimodal, and open source
Running capable AI locally without cloud dependence could reshape how companies deploy and control their AI systems.
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Meta released Muse Glimmer, a new multimodal model designed for local agentic use cases that combines a vision encoder with a text decoder in a 30-billion parameter package. Released under the Apache 2.0 license, the model is intended for privacy-aware applications such as coding, document analysis, and personal assistants, and can run locally to preserve privacy or reduce costs. The model uses specialized architectural components including hybrid attention mechanisms, grouped-query attention for faster generation, and a 2-billion parameter vision encoder that handles both images and videos. Day-0 support was shipped across multiple libraries and platforms including transformers, llama.cpp, and vLLM.
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