Meta releases Muse Glimmer, an open model for local use, but safety metrics trail competitors

Meta has released Muse Glimmer, a 30-billion-parameter open-source model designed for local execution on consumer GPUs, aiming to compete with cloud-based AI services. While positioned as an open model, its safety benchmarks reportedly lag behind Google's Gemma. The model utilizes a dense transformer architecture and a DFlash drafter for speculative decoding to enhance generation speed, making it suitable for personal assistant and coding tasks on local hardware. Meta also indicated that its more powerful, proprietary Muse Spark model may have its weights opened in the coming weeks. AI

IMPACT This release could accelerate the trend of powerful AI models running locally, reducing reliance on cloud APIs for certain tasks.

RANK_REASON Meta's release of a new, open-source frontier model with specific parameter counts and architectural details. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

• Anthropic
• Apache 2.0
• Gemma
• GLM-5.2
• Hugging Face
• Kimi K3
• Mark Zuckerberg
• Meta
• Moonshot
• Muse Glimmer
• Muse Spark
• OpenAI
• Qwen3.6

• model release
• product

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