SparseML is an optimization toolkit for training and deploying deep learning models using sparsification techniques like pruning and quantization to improve efficiency.
Features
- Supports pruning, quantization, and distillation for model compression
- Works with PyTorch and TensorFlow models
- Enables efficient inference on CPUs without GPUs
- Provides pre-optimized recipes for popular deep learning architectures
- Reduces model size while maintaining accuracy
- Compatible with DeepSparse for optimized execution
License
Apache License V2.0Follow SparseML
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