Meta has released Muse Glimmer, a slimmed-down open-weight AI model designed to run locally on a single GPU for agent tasks such as scheduling, file management, coding, and tool use. The release is based on Meta's closed Muse Spark 1.2 model and appears to be aimed at attracting developers who want capable AI agents without relying entirely on cloud-hosted services. Engadget reports: Facebook said that it's making the "weights" that AI systems use to choose responses available to everyone on Hugging Face along with developer documentation. The download is available for free, and users can run the model on their own PCs. The company noted that optimized integrations will land on llama.cpp and other sites, "so you can go from download to working agent in minutes." The model is powerful for its size, according to Meta, with the "strong success rates" on benchmarks like DeepSearch QA, MCP-Atlas and SWE-Bench (which evaluates its ability write and debug code). It also supports reliable tool use, multi-step reasoning, failure recovery, multimodal input and scaffold compatibility for work with OpenClaw and other agent orchestrators. It was trained on data from over 100 languages, the company added. "Rather than centralizing superintelligence, we should distribute it widely and give every person the ability to direct it," CEO Mark Zuckerberg said in an essay accompanying Muse Glimmer's release. "This has the potential to begin a new era of personal empowerment where individuals can use this powerful new capability to reach their full potential, pursue their interests, and improve their lives and the world more than ever before."Read more of this story at Slashdot.
Meta Muse Glimmer 30B: Local Agentic AI on One GPU