Shypd.aiThe largest open index of AI toolsPaddleSlim is an open-source library for deep model compression and architecture search. It provides strategies like low-bit quantization, knowledge distillation, and model sparsity to help developers reduce model size.
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PaddleSlim is an open-source library designed for deep model compression and architecture search, offering a comprehensive suite of strategies to optimize machine learning models. It supports techniques such as low-bit quantization, knowledge distillation, and various sparsity methods, enabling developers to significantly reduce the size and improve the efficiency of their models. Key features include automated compression, which allows direct loading of ONNX and Paddle models for tasks like offline quantization (PTQ), quantization-aware training (QAT), and sparse training. The library also provides tools for performance estimation on various ARM CPU devices and supports deployment with Paddle Inference and Paddle Lite. PaddleSlim is particularly useful for optimizing models for deployment on resource-constrained environments like mobile devices.
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