Meta releases Muse Glimmer, a 30B parameter local coding model with open weights

Aug 10, 2026

AI Summary

Meta has introduced Muse Glimmer, a 30-billion-parameter model designed for local agent workflows, now available under an open-source license. This model allows for efficient AI operations on consumer hardware, enabling various applications without the need for cloud connectivity.

Muse Glimmer is a 30-billion-parameter model optimized for local use, allowing operation on consumer devices with a single GPU.
The model is open-sourced under the Apache 2.0 license and is available for download on Hugging Face, along with developer documentation.
It supports various applications including local coding, scheduling, and file organization, and is designed to work with existing developer tools.
Muse Glimmer employs techniques like quantization to reduce memory requirements, enabling it to run efficiently on consumer hardware.
The model features a speculative decoding mechanism that enhances text generation speed while maintaining output quality.
Meta has partnered with several companies to optimize Muse Glimmer's performance across different devices and is providing resources for developers to build and deploy applications using the model.
The release is part of Meta's ongoing commitment to open AI research and aims to facilitate the development of local AI agents.

metamuse glimmercoding modelopen weightsai research

Meta releases Muse Glimmer, a 30B parameter local coding model with open weights

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