Deploy state-of-the-art language models on mobile and edge devices with advanced distillation, quantization, and optimization techniques.
Explore ToolkitCompress large language models into tiny, efficient versions while preserving accuracy. Train student models from teacher networks with minimal quality loss.
Reduce model size by 75%+ through INT8/INT4 quantization. Achieve 4x faster inference with negligible accuracy degradation on edge hardware.
Adapt pre-trained models to your specific tasks using Low-Rank Adaptation. Fine-tune with minimal compute and memory requirements.
Run models entirely on-device without internet connectivity. Ensure data privacy and ultra-low latency for real-time applications.
Model Size Reduction
Faster Inference
Accuracy Retained
Typical Model Size
Integrate intelligent text generation, translation, and summarization directly into iOS and Android applications.
Deploy language understanding to smart home devices, wearables, and embedded systems with limited resources.
Build applications that process sensitive data entirely on-device, ensuring complete user privacy and GDPR compliance.
Enable real-time AI inference at the network edge, reducing latency and bandwidth costs for distributed systems.
Deploy tiny language models on any device in minutes.