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model-optimizer

model-optimizer — A unified library of SOTA model optimization techniques like quantization, distillation,…

model-optimizer is A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downs.... It is ranked #8316 on the AI Radar, in AI infra & evals, first seen 42 days ago and shared in 2 posts (27.5k views).

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GitHub - NVIDIA/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. · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to…

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FAQ

What is 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 downs... It was first shared on X 42 days ago and is ranked #8316 on the AI Radar.

Is model-optimizer free?

It is open source.

Who shared model-optimizer?

2 accounts on X, including @Mr_WestCoast, in 2 posts totalling 27.5k views.

Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 15:57 UTC. Full method.