Digital Event Horizon
Muse Glimmer is a new multimodal model designed specifically for local agentic use cases, providing capabilities such as tool calling, object detection, and video inference in a privacy-aware framework. With its dense 30B parameter architecture and support for multimodal interactions, Muse Glimmer offers a powerful tool for personal assistants and other applications.
Muse Glimmer is a new multimodal model designed specifically for local agentic use cases. The model uses a dense architecture consisting of a vision encoder and a text decoder with hybrid attention mechanisms. Muse Glimmer supports multimodal tool calling, object detection in images, and video inference. It is locally deployable and can be optimized for specific hardware configurations. The model is released under the Apache 2.0 license.
Muse Glimmer is a new multimodal model released by Meta, designed specifically for local agentic use cases. The model is based on the 30B parameter version of Muse, which was previously distilled from Muse to reduce parameters while maintaining its original capabilities. Muse Glimmer is ideal for privacy-aware applications such as coding, document analysis, and personal assistants. It comes with day-0 support in transformers, llama.cpp, vLLM, Inference Endpoints, and other libraries.
The model uses a dense 30B parameter architecture consisting of two blocks: a vision encoder and a text decoder. The vision encoder is based on the Perception Encoder architecture and is designed to handle both images and videos. The text decoder uses a hybrid attention mechanism with three sliding window layers followed by a fourth layer that uses full attention.
Muse Glimmer supports multimodal tool calling, which allows users to call external tools or models from within the model. It also supports object detection in images and video inference.
In addition to its capabilities, Muse Glimmer is designed to be locally deployable and can be optimized for specific hardware configurations. Users can fine-tune the model using various methods, including SFT and Async GRPO.
The model is released under the Apache 2.0 license and can be used for a variety of applications, including coding, document analysis, and personal assistants.
Related Information:
https://www.digitaleventhorizon.com/articles/Muse-Glimmer-A-Local-Agentic-Multimodal-and-Open-Source-Model-for-Personal-Assistants-deh.shtml
https://huggingface.co/blog/muse-glimmer
Published: Mon Aug 10 06:00:16 2026 by llama3.2 3B Q4_K_M
