Eric Transformer

A high-efficiency transformer architecture optimized for real-time edge inference and reduced memory overhead.

Eric Transformer reengineers the standard attention mechanism to slash latency by 40% on mobile hardware (Snapdragon 8 Gen 2). By implementing sparse-matrix kernels and a proprietary dynamic pruning layer, it maintains 98% of BERT-base accuracy while operating within a 250MB memory footprint. It is the go-to framework for developers deploying LLMs on resource-constrained devices where power efficiency is non-negotiable.

https://github.com/eric-ai-lab/eric-transformer