Create README.md

README.md

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+---
+language: en
+license: apache-2.0
+---
+
+# Shears Model Card: shears-mpt-7b-50-base
+
+The sparsified MPT-7B with 50% sparsity as a base model in [Shears](https://arxiv.org/abs/2404.10934).
+
+## Model Sources
+
+- **Repository:** [https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears)
+- **Paper:** [Shears: Unstructured Sparsity with Neural Low-rank Adapter Search](https://arxiv.org/abs/2404.10934)
+
+## Citation
+
+```bash
+@article{munoz2024shears,
+  title = {Shears: Unstructured Sparsity with Neural Low-rank Adapter Search},
+  author={J. Pablo Munoz and Jinjie Yuan and Nilesh Jain},
+  journal={The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-2024)},
+  year={2024}
+}
+```
+
+## Acknowledgement
+
+Thanks to the work Wanda ([paper](https://arxiv.org/abs/2306.11695), [code](https://github.com/locuslab/wanda)), which provides a simple but effective pruning approach.
+
+## License
+
+Apache-2.0