tl;dr: Meta Superintelligence Labs released Muse Glimmer, a 30B-parameter model under Apache 2.0, optimized for local agent workflows and designed to run on a single consumer GPU via ~4-bit quantization (under 20GB). It's trained via distillation from a larger "Muse Spark" teacher for tool use, multi-step reasoning, multimodal input, and failure recovery, and ships with a speculative decoding drafter (DFlash) for faster generation. Weights are on Hugging Face with upcoming integrations for llama.cpp, MLX, ExecuTorch, Ollama, and LM Studio.