LFM2-2.6B-Exp : Build ANYTHING! 🤯

Liquid AI’s experimental Liquid Foundation Model (LFM2 2.6BX) proved that

training strategy matters more than raw size. By skipping traditional human

preference tuning and using pure reinforcement learning with verifiable

rewards, this model delivers precise instruction-following, reduced

hallucinations, and stronger reasoning — all while running far more efficiently.

The benchmarks shocked everyone. A model 263x smaller beat DeepSeek R1

on instruction-following tests, opening the door to faster, cheaper,

and more controllable AI systems. This has massive implications

for AI agents, automation workflows, RAG pipelines, data extraction,

and reasoning-heavy tasks.