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If your model parameters are already sorted, you can skip the sorting step by setting `"skip_sorting": True` in `config` instead of passing `forward_loop`.
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> [!Note]
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> Fine-tuning / distillation is required after pruning to recover the accuracy. Please refer to pruning [fine-tuning](https://nvidia.github.io/TensorRT-Model-Optimizer/guides/3_pruning.html#pruning-fine-tuning) for more details.
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> Fine-tuning / distillation is required after pruning to recover the accuracy. Please refer to [end-to-end pruning and distillation tutorial](https://github.com/NVIDIA-NeMo/NeMo/tree/main/tutorials/llm/qwen/pruning-distillation) for more details.
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