Muse Glimmer 30B Architecture Notes

This article provides a technical deep dive into Meta's newly released open-weight Muse Glimmer 30B multimodal reasoning model. It highlights the architecture, including a 131k context window, dense (non-MoE) design, hybrid attention with GQA and SWA (3:1 ratio), gated attention, and an extreme GQA ratio (32 Q / 2 KV) for efficient KV cache. The author compares it to Gemma 3/4 and Qwen3.6, noting similarities and differences, and presents benchmark data showing competitive performance. The article emphasizes the model's low memory footprint and speed, making it suitable for agentic workflows, and celebrates Meta's return to open weights.