NVIDIA/Model-Optimizer
A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
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NVIDIA/Model-Optimizer has +11 stars this period . 7-day velocity: 1.1%.
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Last code push 1 days ago.
Fork-to-star ratio: 14.0%. Active community forking and contributing.
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+11 stars this period — 0.46% growth rate.
Licensed under Apache-2.0. Permissive — safe for commercial use.
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