Create README.md (#1)

- Create README.md (25995687618d03fac75013cd3b53e8b010fbce8f)


Co-authored-by: Non applicable <[email protected]>

README.md

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+---
+pipeline_tag: text-generation
+inference: true
+license: apache-2.0
+datasets:
+- GritLM/tulu2
+
+---
+
+# Model Summary
+
+A [**KTO**](https://arxiv.org/abs/2402.01306) version of https://huggingface.co/GritLM/GritLM-7B
+
+> GritLM is a generative representational instruction tuned language model. It unifies text representation (embedding) and text generation into a single model achieving state-of-the-art performance on both types of tasks.
+
+- **Repository:** [ContextualAI/gritlm](https://github.com/ContextualAI/gritlm)
+- **Paper:** https://arxiv.org/abs/2402.09906
+- **Logs:** https://wandb.ai/muennighoff/gritlm/runs/0uui712t/overview
+- **Script:** https://github.com/ContextualAI/gritlm/blob/main/scripts/training/train_gritlm_7b.sh
+
+| Model | Description |
+|-------|-------------|
+| [GritLM 7B](https://hf.co/GritLM/GritLM-7B) | Mistral 7B finetuned using GRIT |
+| [GritLM 8x7B](https://hf.co/GritLM/GritLM-8x7B) | Mixtral 8x7B finetuned using GRIT |
+
+# Use
+
+The model usage is documented [here](https://github.com/ContextualAI/gritlm?tab=readme-ov-file#inference).
+
+# Citation
+
+```bibtex
+@misc{muennighoff2024generative,
+      title={Generative Representational Instruction Tuning}, 
+      author={Niklas Muennighoff and Hongjin Su and Liang Wang and Nan Yang and Furu Wei and Tao Yu and Amanpreet Singh and Douwe Kiela},
+      year={2024},
+      eprint={2402.09906},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```