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README.md
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@@ -37,9 +37,11 @@ The dev-set performance reported in the paper is averaged over four seeds, and w
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| stdev | 0.061 | 0.079 |
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Code:
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```bibtex
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@article{kurtic2022optimal,
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title={The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models},
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| stdev | 0.061 | 0.079 |
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```
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Code: [https://github.com/neuralmagic/sparseml/tree/main/research/optimal_BERT_surgeon_oBERT](https://github.com/neuralmagic/sparseml/tree/main/research/optimal_BERT_surgeon_oBERT)
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If you find the model useful, please consider citing our work.
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## Citation info
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```bibtex
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@article{kurtic2022optimal,
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title={The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models},
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