This research introduces a token-level routing system that intelligently balances performance and efficiency for language model deployment on edge devices.

• Enables collaborative decoding between large and small models to optimize resource usage
• Implements a token-level router to dynamically decide which model should generate each token
• Achieves significant efficiency gains while maintaining response quality
• Addresses practical constraints for real-world edge AI deployment

This engineering breakthrough enables more powerful AI capabilities on resource-limited devices like smartphones and IoT systems, opening new possibilities for edge computing applications while reducing dependency on cloud infrastructure.

Token Level Routing Inference System for Edge Devices