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a516c3d0a1
- Added CompressionMetrics for parameter counting and model size analysis - Implemented magnitude-based pruning with sparsity calculation - Added quantization for FP32→INT8 conversion with error tracking - Implemented knowledge distillation with temperature scaling - Added structured pruning with neuron removal - Created comprehensive comparison framework - All 6 tests passing (100% success rate) - Module follows TinyTorch educational patterns - Uses standard tito testing framework - Ready for integration testing