Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows

Meta Superintelligence Labs has introduced Muse Glimmer, a 30-billion parameter model optimized for always-on local agent workflows. The model's weights are compressed to approximately 4-bit precision using quantization techniques, reducing its size to under 20 GB. This allows it to run within a 24 GB or 32 GB memory envelope, accommodating its working memory, perception encoder, and speculative decoding drafter. Muse Glimmer is open-sourced under an Apache 2.0 license, with minimal degradation on agentic tasks.