# Muse Glimmer: Meta says its 30B newcomer beats Qwen3.6 on local jobs > Source: > Published: 2026-08-10 15:56:24+00:00 [agentic ai](/tag/agentic-ai/) Meta dropped a 30-billion-parameter model made for consumer-type machines Monday, the same day its CEO declared that the future of AI must be open. Muse Glimmer is an Apache 2.0 licensed distillation of Muse Spark with a default 128K token context window. "Muse Glimmer was optimized for local deployment, and designed to run at practical speeds on consumer hardware without sacrificing quality," Meta said [ in documentation](https://dev.meta.ai/docs/muse-glimmer?ref=thestack.technology) that encourages DIY quantization. Glimmer was shrunk to under 20GB, with quantization to about 4-bit precision, in order to leave headroom for the KV cache, image encoder, and decoding drafter to run simultaneously on the kind of memory available to a recent-model PC or Mac. Meta said it had validated that compression had not degraded agentic task use, which is the entire point of the model it pitched as a drop-in replacement for at least some offsite inference. "Point your existing tooling at a local Muse Glimmer server and keep building — you own the weights, the runtime, and the data," said Meta. **Zuckerberg's vision** ## Get the full story: Subscribe for free Join peers managing over $100 billion in annual IT spend and subscribe to unlock full access to The Stack’s analysis and events. [Subscribe now](https://www.thestack.technology/membership/) Already a member? [Sign in](https://www.thestack.technology/signin/)