Add model details in README.md

README.md

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 license: apache-2.0
+language:
+- en
+tags:
+- Mathematical Reasoning
 ---
+# Model Card for Model ID
+
+This model is instruction-tuned [Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-v0.1) model using QLoRA on single RTX 4090 GPU. Model is tuned to reason and answer mathematical problems. Model is also capable of writing a Python program that upon compilation prints answer to the question. To generate python program, you can ask model to write a Python program (as part of prompt) along with question. Refer to **Results** section for examples.
+
+## Model Details
+
+It is a Instruction-tuned Mistral-7B and performs mathematical reasoning and optionally write a Python program.
+
+### Model Description
+
+- **Developed by:** [Ashvini Kumar Jindal](https://www.linkedin.com/in/ashvini-jindal-26653262/)
+- **Funded by:** self-work
+- **Model type:** Instruction-tuned
+- **Language(s) (NLP):** English
+- **Finetuned from model:** mistralai/Mistral-7B-v0.1
+
+
+## Uses
+
+Arithmo-Mistral-7B is trained with the following format:
+
+```
+Question: <question>
+
+Answer:
+```
+
+It will perform best if queried in this way.
+
+## How to Get Started with the Model
+
+Model is compatibale with Huggingface. I will publish a generation/inference script soon. Model inference on CPU also works; I have tested it on Macbook M1 Pro. GPU inference is much faster than CPU inference.
+
+
+### Results
+
+Here are sample screenshots of model output for few questions :)
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c75c1237333ccfef30a602/qE0V8cZnvQDRIq6qANuYp.png)
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c75c1237333ccfef30a602/rXEzumBHG-y2HEhOhSRt2.png)
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c75c1237333ccfef30a602/X_hLjlNRBavb473ejgDIl.png)