Muse Glimmer
Model ● Covered in 13 stories + Follow
Muse Glimmer is a roughly 30B-parameter open-weights multimodal AI agent model released by Meta under an Apache 2.0 license. According to coverage, it is distilled from Muse Spark and shipped with a complete distillation pipeline, along with serving/deployment artifacts intended to run on consumer hardware via quantization (with configurations targeting under ~20–24GB VRAM) and performance features like speculative decoding and retry training. Recently, Meta positioned Glimmer as part of a broader shift toward locally deployable “personal superintelligence” and open-weight agent workflows, including plans to open weights for Muse Spark 1.2 and discussions of how distillation/versioning and licensing should be managed across teacher–student refresh cycles.
Updated 19 October 2026
Specifications
No specifications recorded yet.
Latest developments
[AINews] Muse Glimmer and Spark: Open Weights return Personal Superintelligence promise
Latent Space · 2 months ago ·
22
Introducing Muse Glimmer
Simon Willison’s Weblog · 2 months ago ·
22
Mark Zuckerberg makes his case for American open-source AI over Chinese rivals
Fortune ·
38
With new open models, Meta pitches another reboot of its struggling AI strategy
Ars Technica · 2 months ago ·
44
Meta releases open-weights Muse Glimmer model with 30B parameters
SiliconANGLE · 2 months ago ·
41
Meta’s Muse Glimmer fits on a laptop
The New Stack · 2 months ago ·
52
August 2026
Meta releases Muse Glimmer, a 30B-parameter open-weight model on Hugging Face, and Zuckerberg argues for open-source AI while outlining future open releases Open source release
Meta released Muse Glimmer, an open-weights multimodal 30B model for local agentic and tool-using tasks under the Apache 2.0 license Open source release
Meta releases Muse Glimmer, an open-weight multimodal AI agent model with plans to open weights for Muse Spark 1.2 Open source release
Meta released Muse Glimmer, a 30B open-weights multimodal agent model designed to run locally on consumer GPUs Open source release
- Meta stopped worrying about distillation and just shipped the pipeline
- 😺 Zuckerberg's superintelligence bargain
- [AINews] Muse Glimmer and Spark: Open Weights return Personal Superintelligence promise
- Introducing Muse Glimmer
- Mark Zuckerberg makes his case for American open-source AI over Chinese rivals
- With new open models, Meta pitches another reboot of its struggling AI strategy
- Meta releases open-weights Muse Glimmer model with 30B parameters
- Meta’s Muse Glimmer fits on a laptop
- Meta’s new Glimmer AI model offers a hint at Zuckerberg’s personal intelligence vision
- Meta AI Releases Muse Glimmer: A 30B Open-Weights Agentic Model That Runs on One Consumer GPU
- “Learn From Anything You Can Observe”: Zuckerberg Defends AI Distillation, Criticises Closed Labs
- Meta’s New Open AI Model “Muse Glimmer” Runs on Your Computer, of Course With Trade-offs
- Meta is back with Muse Glimmer: local, agentic, multimodal, and open source
Relationships
Products & technology
- Meta develops this model · 9 sources
- Meta Superintelligence Labs develops this model · 2 sources
- Derived from Muse Spark · 1 source
- Deploys RTX 5090 · 1 source
- Integrated with Hugging Face · 1 source
- Muse Spark derived from this model · 1 source
- Meta Platforms Inc. develops this model · 1 source
- Mark Zuckerberg develops this model · 1 source
- LM Studio deploys this model · 1 source
- llm-coding-agent plugin integrated with this model · 1 source
- Meta deploys this model · 1 source
Regulation
- Regulated by Apache 2.0 · 2 sources