Meta

Summary: Muse Glimmer in 30 Seconds Muse Glimmer is a 30 billion parameter agentic model released by Meta Superintelligence Labs on August 10, 2026. The weights are open under Apache 2.0. No cloud needed. Four-bit quantization shrinks the language model to under 20 GB, so it runs on a single consumer GPU with 24 GB or 32 GB of memory. It reads text and images, and returns text. Default context window is 128K tokens, and the model supports more. It clears its size class on agentic tests: 75.5 on MCP Atlas (Gemma4-31B 54.2, Qwen3.6-27B 62.5). On math, 94.7 on AIME 2026. The bundled DFlash drafter speeds generation up 3.1x on an RTX 5090 and 1.8x on an M5 Max. It is distilled from Muse Spark, Meta’s cloud model, so the big model’s agentic behavior is transferred into a small one. On the same day Zuckerberg announced that the weights for Muse Spark 1.2, Meta’s flagship model, will be opened too. No date, just “soon.” An AI agent normally means an API key, an internet connection and a bill that ticks up with every request. Meta just tried the opposite. ...

Meta Launch Llama 4 (Meta AI Blog) Important Note: Meta has announced a new chapter in the history of artificial intelligence today. The Llama 4 series is surpassing its competitors with its multimodal AI capabilities and revolutionary mixture-of-experts architecture. In initial tests, it manages to outperform leading models like GPT-4o and Gemini 2.0! Llama 4: A Revolution in Multimodal AI 🚀 Meta has officially announced Llama 4 models, which will open a new chapter in the world of artificial intelligence. Llama 4 is a natively multimodal large language model family: it processes text and images in a single model and stands out especially with its mixture-of-experts (MoE) architecture. Continuing Meta’s open-weight model approach, Llama 4 represents an important step in the AI ecosystem with both its performance and accessibility. ...