Bringing LLMs to Mobile Devices
EdgeMoE: An efficient inference engine for sparse LLMs
EdgeMoE enables efficient deployment of Mixture-of-Expert (MoE) language models directly on mobile devices, advancing privacy and availability without sacrificing performance.
- Overcomes parameter size limitations through innovative model partitioning
- Optimizes memory management specifically for mobile constraints
- Enables privacy-preserving AI by keeping data on-device
- Demonstrates practical deployment of sparse LLMs without cloud dependency
This research represents a significant engineering breakthrough in making advanced AI accessible on edge devices while enhancing user privacy and reducing latency.
Original Paper: EdgeMoE: Empowering Sparse Large Language Models on Mobile Devices