Deploy local agents everywhere with LFM2.5-2.6B
LiquidAI's LFM2.5-2.6B uses innovative Agentic RL to outperform models 4x larger on tool use and instruction following, enabling capable, privacy-preserving agents to run locally on everyday devices.
LiquidAI's LFM2.5-2.6B uses innovative Agentic RL to outperform models 4x larger on tool use and instruction following, enabling capable, privacy-preserving agents to run locally on everyday devices.
Holo3.1 makes critical breakthroughs in environment robustness, local deployment, and real-time speed, signaling that general-purpose computer use agents are moving from capability demos to production-ready engineering.
With restrictions on Claude models in open agent platforms, Hugging Face offers two ways to help users quickly migrate and revive their OpenClaw agents, ensuring continued use of efficient open models.
The joining of GGML and llama.cpp will provide stronger support for the development of Local AI, facilitating the popularization and development of open-source intelligence.