Liquid AI Releases LFM2.5-2.6B: An On-Device Agentic Model With 128K Context, Tool Calling, And Open Weights
MarkTechPost 3 weeks ago 44 ● 3 sources
Liquid AI released LFM2.5-2.6B, a 2.69-billion-parameter model designed to run entirely on-device for agentic tasks like tool calling and multi-step planning. The model achieves 131,072-token context, decodes at 220 tokens/second on an M5 Max in under 2.5GB memory, and outperforms larger models on instruction-following and tool-use benchmarks. Open-source weights enable developers to deploy assistants, document triage, form extraction, and robotics control without sending data to external APIs.