Meta is back with Muse Glimmer: local, agentic, multimodal, and open source
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Meta's open-source agentic multimodal model is highly novel and directly matches AI agent interests.
Meta released Muse Glimmer, a 30B-parameter multimodal model distilled from Muse under Apache 2.0, optimized for local agentic use cases like coding, document analysis, and personal assistants. It uses a 2B ViT vision encoder with a 28B text decoder featuring hybrid sliding-window and full attention layers, gated grouped-query attention reducing KV-cache by 16x, and an optional speculative decoding drafter for faster structured generation. Benchmarks show it leads on agentic tasks like MCP Atlas (75.5) and SWE-Bench Pro (51.2) while remaining competitive on reasoning and multimodal benchmarks against Gemma4-31B and Qwen3.6-27B.