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Model-Optimizer

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

3,732stars579forks31watchers/subscribers385issues
Language
Python
License
Apache License 2.0
Size
118.6 MB
Created
Apr 23, 2024
Last Updated
Sep 4, 2026
Last Pushed
Sep 4, 2026

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