Microsoft Research has announced MagenticLite, an AI agent framework optimized for small language models (SLMs) that enables seamless task execution between web browsers and local computers.
Despite having only 1B parameters, Maxime Labonne's new model is trending on Hugging Face for its surprisingly high performance on agentic tasks.
Lotto Labs has introduced an 8-billion parameter (8B) AI model trained on a massive number of tokens. This model is specifically designed to run ultra-fast on modest hardware, bringing hope to the "GPU-poor" community.
The MiniCPM5-1B model has been fully open-sourced, achieving outstanding performance that beats competitors under 2 billion parameters on the Artificial Analysis leaderboard.
