Muse Glimmer 30B is a 30-billion-parameter causal language model released by Meta Superintelligence Lab in August 2026 under the Apache 2.0 license, with weights published on Hugging Face under the meta-models organization. It is distilled from the larger Muse Spark model and pairs its causal language core with a dedicated perception encoder, giving it a multimodal understanding pathway alongside text generation. The card positions the model as purpose-built for autonomous agentic tasks on consumer hardware, designed to run locally without requiring cloud infrastructure or network access.
According to the model card, training and evaluation emphasize the capabilities that autonomous agents need to sustain over long workflows: multi-step reasoning, reliable tool use, multimodal understanding, and failure recovery when a tool call errors out. Reported benchmark coverage spans end-to-end agentic task completion on DeepSearch QA, MCP-Atlas, τ3-Bench, and SWE-Bench, all of which probe the model's ability to work inside scaffolds, write and debug code, and resolve multi-turn requests from start to finish. Practical fit centers on local agent orchestration patterns such as OpenClaw and Hermes Agent, where the model can chain reasoning over extended horizons, invoke tools with precise schemas, and interpret screenshots, charts, and documents interleaved with conversation.
