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Update README.md #378

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The **NVIDIA TensorRT Model Optimizer** (referred to as **Model Optimizer**, or **ModelOpt**) is a library comprising state-of-the-art model optimization [techniques](#techniques) including quantization, distillation, pruning, speculative decoding and sparsity to accelerate models.
**NVIDIA TensorRT Model Optimizer** (referred to as **Model Optimizer**, or **ModelOpt**) is a library comprising state-of-the-art model optimization [techniques](#techniques) including quantization, distillation, pruning, speculative decoding and sparsity to accelerate models.

**[Input]** Model Optimizer currently supports inputs of a [Hugging Face](https://huggingface.co/), [PyTorch](https://github.com/pytorch/pytorch) or [ONNX](https://github.com/onnx/onnx) model.

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