# Meta Releases Muse Glimmer: 30B Multimodal Model Built for Local Deployment

> Meta has released Muse Glimmer, a 30-billion-parameter multimodal model, under a permissive Apache 2.0 license with the weights posted on Hugging Face. The pitch is right there in the size: this is not another giant you rent from a data center but a model tuned to run on hardware people already own. The numbers back the framing. Meta says a 4-bit quantized version fits in under 20 gigabytes, small enough to run on a single consumer GPU or a MacBook, while a 128K context window keeps it useful for long documents and mixed text-and-image reasoning. A companion model, Muse Spark 1.2, has been announced for open release with weights still pending. For technologists this is the more interesting kind of launch. Open weights that run locally mean privacy-sensitive and offline use cases without an API bill, and they hand tinkerers something to fine-tune and pull apart. It also keeps pressure on the open-model ecosystem at a moment when much of the field is drifting back toward closed, hosted-only releases.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Meta AI · Published Saturday, August 22, 2026_

## Wortins' read

Meta has released Muse Glimmer, a 30-billion-parameter multimodal model, under a permissive Apache 2.0 license with the weights posted on Hugging Face. The pitch is right there in the size: this is not another giant you rent from a data center but a model tuned to run on hardware people already own. The numbers back the framing. Meta says a 4-bit quantized version fits in under 20 gigabytes, small enough to run on a single consumer GPU or a MacBook, while a 128K context window keeps it useful for long documents and mixed text-and-image reasoning. A companion model, Muse Spark 1.2, has been announced for open release with weights still pending. For technologists this is the more interesting kind of launch. Open weights that run locally mean privacy-sensitive and offline use cases without an API bill, and they hand tinkerers something to fine-tune and pull apart. It also keeps pressure on the open-model ecosystem at a moment when much of the field is drifting back toward closed, hosted-only releases.

## Source

[Read the full story at Meta AI](https://ai.meta.com/blog/llama-4-multimodal-intelligence/)

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