SparseML

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

Project Samples

Project Activity

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool, Python LLM Inference Tool

Registered

2025-01-22

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