Nvidia Model Optimizer: A unified library of SOTA model optimization techniques like quantization, pruning, Neural Architecture Search (NAS), distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
Published
July 6, 2026
111d ago
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License Sources Match
Apache-2.0 confirmed by 2 independent sources — Python registry metadata and the LICENSE file in the package source — as of July 6, 2026.
| Source | License | Class |
|---|---|---|
Licensie (detected) | Apache-2.0 | Permissive |
PyPI (reported) | Apache 2.0 | Permissive |
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