# Meta Releases Muse Glimmer: 30B Multimodal Model for Local AI Use

> Meta has released Muse Glimmer, a 30 billion parameter multimodal model that it is putting out under the permissive Apache 2.0 license. It is tuned for the practical work of running agents locally, handling tool calls, coding, and acting as an automated judge, with a 131,000 token context window and support for more than 100 languages. The headline detail for tinkerers is efficiency. With 4 bit quantization the model compresses to under 20GB, small enough to run on a single consumer GPU. That puts a capable multimodal system on hardware that hobbyists and small teams already own, with no API bill and no data leaving the machine. The release lands in the middle of a broader shift toward open weights, where models you can download and self host keep closing the gap with closed commercial systems. For Meta it is another push to make its open models the default foundation that developers build on.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Meta · Published Friday, August 14, 2026_

## Wortins' read

Meta has released Muse Glimmer, a 30 billion parameter multimodal model that it is putting out under the permissive Apache 2.0 license. It is tuned for the practical work of running agents locally, handling tool calls, coding, and acting as an automated judge, with a 131,000 token context window and support for more than 100 languages. The headline detail for tinkerers is efficiency. With 4 bit quantization the model compresses to under 20GB, small enough to run on a single consumer GPU. That puts a capable multimodal system on hardware that hobbyists and small teams already own, with no API bill and no data leaving the machine. The release lands in the middle of a broader shift toward open weights, where models you can download and self host keep closing the gap with closed commercial systems. For Meta it is another push to make its open models the default foundation that developers build on.

## Source

[Read the full story at Meta](https://ai.meta.com/research/)

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