IronLLM: Forging Compact Edge-Native Language Models for Real-Time Embodied Intelligence

Changdi Yang, Fengquan Jiao, Haochih Lin +14

We present IronLLM-0.6B, a 654M-parameter language model designed for efficient on-device inference. IronLLM-0.6B combines a hybrid attention architecture with X-MTP, a lightweight…