PaddlePaddle/PaddleSlim

Health v2 · maintenance only

Adoption not part of the score

1612 stars · 353 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PaddleSlim is an open-source library built on PaddlePaddle for deep learning model compression and architecture search. It provides low-bit quantization, knowledge distillation, sparsity/pruning, and neural architecture search (NAS) strategies, including automated compression pipelines for models like YOLO and BERT.

Use cases

• compress a yolov5 model with int8 quantization for faster inference
• prune a detection model to reduce its size
• apply knowledge distillation to train a smaller student model
• run neural architecture search for a segmentation model
• quantize a bert transformer for deployment on tensorrt
• automatically compress an onnx model without changing training code

When to choose

• you use PaddlePaddle and need to shrink models for edge or faster inference
• you want automated quantization (PTQ/QAT) for detection, segmentation, or NLP models
• you need pruning, distillation, or NAS in one toolkit

When to avoid

• your models are in PyTorch or TensorFlow and you don't want to convert to Paddle
• you need general-purpose training rather than compression
• you need a framework-agnostic compression tool

Facets

library · maturity active

machine-learning deep-learning llm-training deep-learning computer-vision machine-learning python windows model-compression quantization pruning knowledge-distillation neural-architecture-search paddlepaddle tensorrt int8 yolo natural-language-processing linux macos gpu

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markdown · JSON · MCP: product_card(name="PaddlePaddle/PaddleSlim")