{
  "id": 19338,
  "url": "https://www.infoq.com/news/2026/08/meta-muse-glimmer",
  "title": "Meta Open-Sources Muse Glimmer: A 30B Local Agentic Model Optimised for On-Device Execution",
  "summary": "Meta AI Research has introduced Muse Glimmer, a 30-billion-parameter open-weight model under the Apache 2.0 license, designed for local workflows. It enables autonomous agents and complex task execution on consumer GPUs without relying on cloud APIs. The model employs a multi-stage training approach for efficient performance and supports multimodal inputs, enhancing coding and automation tasks. By Olimpiu Pop",
  "authors": "Olimpiu Pop",
  "category": "news",
  "topics": "jobs-economy,agents-autonomy",
  "orgs": "meta",
  "regions": null,
  "published_at": "2026-08-14T05:05:00.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "source_slug": "x-infoq-ai-ml",
  "source_name": "InfoQ AI/ML",
  "source_homepage": "https://www.infoq.com/ai-ml-data-eng/",
  "ethics_ai_record_url": "https://ethics.ai/record/19338",
  "original_url": "https://www.infoq.com/news/2026/08/meta-muse-glimmer",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}