AI Model Quantization Tool

Interactive demonstration of model compression and optimization techniques

Model Configuration

Model Size (Parameters) 125M

Quantization Settings

Precision FP16
Compression Ratio 2x

Optimization Techniques

Pruning Level 25%
Knowledge Distillation Enabled
1.2 GB
Model Size
-50% from original
45 ms
Inference Time
+60% faster
94.2%
Accuracy
-1.3% from FP32
512 MB
Memory Usage
-65% reduction
Performance vs Compression Trade-offs

Quantization Techniques Demonstrated

This tool simulates various AI model optimization techniques used in production systems to reduce model size and improve inference speed while maintaining accuracy.

INT8 Quantization
Weight Pruning
Knowledge Distillation
Dynamic Quantization
Post-Training Quantization
Quantization-Aware Training