NVIDIA Model Optimizer
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NVIDIA Model Optimizer
(referred to as
Model Optimizer
, or
ModelOpt
) is a library comprising state-of-the-art model optimization
techniques
including quantization, pruning, Neural Architecture Search (NAS), distillation, speculative decoding and sparsity to accelerate models.
[Input]
Model Optimizer currently supports inputs of a
Hugging Face
,
PyTorch
or
ONNX
model.
[Optimize]
Model Optimizer provides Python APIs for users to easily compose the above model optimization techniques and export an optimized quantized checkpoint.
Model Optimizer is also integrated with
NVIDIA Megatron-Bridge
,
Megatron-LM
and
Hugging Face Accelerate
for training required inference optimization techniques.
[Export for deployment]
Seamlessly i (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://github.com/NVIDIA/Model-Optimizer)获取最准确的信息。

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🔗 **原文链接**: [NVIDIA/Model-Optimizer (⭐ 22 stars today)](https://github.com/NVIDIA/Model-Optimizer)
🏷️ **转载来源**: GitHub Trending
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。

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> _转载自 GitHub Trending，内容版权归原作者所有_

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⏱️ 2026-09-24 22:02