Meta released Muse Glimmer, a 30B-parameter dense multimodal model under Apache 2.0, tuned for local agentic tool use, coding, and LLM-as-judge with a 131K context and support for 100+ languages. 4-bit quantization compresses it under 20GB so it runs on a single consumer GPU, hitting 3.1x speedup on RTX 5090 via speculative decoding. Meta paired the drop with a 6,500-word Zuckerberg essay promising open weights for Muse Spark 1.2 in the coming weeks, defending model distillation, and a $1B community fund for regions hosting Meta data centers. Source: https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model submitted by /u/Justgototheeffinmoon
Originally posted by u/Justgototheeffinmoon on r/ArtificialInteligence
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