Model Compression

Domain: MLOps

🎯 Motivation

Making models smaller and faster: quantization, pruning, distillation. Essential for edge deployment.

📋 Concrete Example

Compression: 175B parameter model -> 7B parameter model (via distillation). 95% smaller, 85% of original accuracy. Can run on a phone.

🔗 Analogy

Compressing a large file into a zip - much smaller, same content. Model compression makes models smaller while keeping most of their capability.

Related Concepts

• Quantization
• Pruning
• Knowledge Distillation