Meta releases Muse Glimmer, a 30B open-weight agentic model

Meta open-sourced Muse Glimmer, a 30B-parameter dense multimodal model with a 120K+ context window, under Apache 2.0. It runs on a single consumer GPU (24GB VRAM) and delivers 20K tokens/sec on NVIDIA hardware. Day-0 support shipped in transformers, llama.cpp, vLLM, and Inference Endpoints.
How this story unfolded
9 days · 22 reports · 42 community posts · 64 of 68 shown
- Aug 5
- Aug 10
Meta Releases Muse Glimmer AI Model People Can Run on Their Laptopbloomberg.com
Meta is back with Muse Glimmer: local, agentic, multimodal, and open sourcehuggingface.co
meta-models/Muse-Glimmer-30Bhuggingface.co
Meta to open source its most powerful AI model as it takes swipe at OpenAI, Anthropiccnbc.com
unsloth/Muse-Glimmer-30B-GGUFhuggingface.co
Run Local Agentic AI Workflows with Meta’s Muse Glimmer on NVIDIAdeveloper.nvidia.com
meta-models/Muse-Glimmer-30B-GGUFhuggingface.co
Meta Releases AI Model You Can Use at Homebloomberg.com
Meta AI Releases Muse Glimmer: A 30B Open-Weights Agentic Model That Runs on One Consumer GPUmarktechpost.com
Meta’s new Glimmer AI model offers a hint at Zuckerberg’s personal intelligence visiontechcrunch.com
Meta returns to open source with Muse Glimmer, an Apache 2.0 licensed 30B parameter AI model optimized for agents — available nowventurebeat.com
Meta’s Muse Glimmer fits on a laptopthenewstack.io
Meta Brings Powerful AI to the Personal Computerbloomberg.com
Mark Zuckerberg announces Meta's new AI model Muse Glimmer.youtube.com
With new open models, Meta pitches another reboot of its struggling AI strategyarstechnica.com
- Aug 11
- Aug 12
- Aug 14
Meta AI by email
Get an email when Meta AI has news
No news that day, no email.
More stories today
- Nvidia faces investor scrutiny on AI investments
- Lyft builds self-serve AI agent platform with LangGraph and LangSmith
- LangChain: context engineering is key AI skill
- LangChain introduces Structured Tools for complex agent inputs
- LangChain releases multi-vector retriever cookbooks for RAG on tables, text, and images