Deep Learning Model Optimization: Quantization vs Pruning

Dr. Deepika Singh Artificial Intelligence Aug 17, 2025 05:38 AM

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Deploying transformer models on edge devices. Comparing INT8 quantization with structured pruning for model compression. Current models are 1.2GB, need to reduce to <200MB without significant accuracy loss.

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Dr. Alan Zhang Aug 17, 2025 05:38 AM

For transformer models, try ONNX Runtime with INT8 quantization. We achieved 4x size reduction with <2% accuracy loss. Also consider knowledge distillation for even better compression.