Meta Releases Muse Glimmer – Open 30B Model for Single GPUs
Meta has unveiled Muse Glimmer, an open AI model with 30 billion parameters, designed to run on a single consumer graphics card with 24 GB of VRAM.
What happened?
Meta has launched Muse Glimmer, an open AI model with 30 billion parameters, on the Hugging Face platform. The model is a distilled version of the flagship Muse Spark model. Through 4-bit quantization, Muse Glimmer requires only 24 GB of VRAM, allowing it to run locally on a single consumer GPU.
Key facts
| Lanseringsdatum | 10 augusti 2026 |
|---|---|
| Antal parametrar | 30 miljarder |
| VRAM-krav (4-bit) | 24 GB |
Why it matters
By offering a 30-billion-parameter model that fits within the memory of a standard graphics card, Meta is lowering the barrier for local agent-based AI. It also marks a strategic shift for Meta regarding open weights, following a period where access to their largest models had been restricted.
Who is affected?
The launch is primarily aimed at independent developers, researchers, and small businesses seeking to run agents and advanced AI models locally, without dependence on cloud-based API services.
Impact on the EU
The model is available for download via Hugging Face and can be executed locally, meaning it can be used within the EU without transmitting data to servers in the US. This facilitates compliance with GDPR and the EU AI Act for European developers.
What else you should know
The launch comes eight months after Meta announced it would restrict its flagship models behind APIs, following controversy surrounding evaluation results for Llama 4, which led to restructuring within the company's AI division.
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