Meta returns to the open source ecosystem with the release of Muse Glimmer, a 30B open-weight dense model with a 120K+ context window built for local AI agentic work.
Optimized to run across a range of NVIDIA edge, desktop, and workstation AI platforms, Muse Glimmer delivers 20K tokens/sec on a single GPU, enabling always-on agents to process data locally and execute complex, multi-step workflows.
Built for long-running agents, not just conversations
Most LLMs are optimized for chat, prioritizing single-turn interactions and fast time to first token—but agentic workloads demand a different approach. An agent scaffolding a software project, revising documentation, or managing a knowledge base may execute several sequential tool calls in a single session, while requiring a level of reliability, consistency, long-context coherence, and sustained throughput that chat-first models aren’t built for.
Muse Glimmer uses a dense architecture that activates every parameter for each token it processes, with no routing, expert selection, or variance across token pathways. As a result, it excels at agentic workloads that demand reliable instruction following, long-context coherence, predictable latency, and fewer failure modes.
