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Updated model card details.

README.md

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+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This model is a vanilla fine-tuned version of the [Llama-7B](https://huggingface.co/huggyllama/llama-7b) model on synthetically generated arithmetic tasks. It was introduced in [this](https://openreview.net/forum?id=8sKcAWOf2D) paper. It is very similar to [Goat-7B](https://github.com/liutiedong/goat), except it was trained without LoRA.
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+- **Developed by:** [Nikhil Prakash](https://nix07.github.io/)
+- **Model type:** Autoregressive Decoder-only Language Model
+- **License:** MIT License
+- **Finetuned from model [optional]:** [Llama-7B](https://huggingface.co/huggyllama/llama-7b)
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** TODO
+- **Paper [optional]:** [Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking](https://openreview.net/forum?id=8sKcAWOf2D)
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+```python
+from transformers import AutoModel
+model = AutoModel.from_pretrained("nikhil07prakash/float-7b")
+```
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+TODO