Update README.md

README.md

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 This repository hosts both the standard and quantized versions of the Zephyr 7B model, allowing users to choose the version that best fits their resource constraints and performance needs.
 
-Model Details
-Model Name: Zephyr 7B
-Model Size: 7 billion parameters
-Architecture: Transformer-based
-Languages: Primarily English, with support for multilingual text
-Quantized Version: Available for reduced memory footprint and faster inference
-
-Performance and Efficiency
+# Model Details
+## Model Name: Zephyr 7B
+## Model Size: 7 billion parameters
+## Architecture: Transformer-based
+## Languages: Primarily English, with support for multilingual text
+## Quantized Version: Available for reduced memory footprint and faster inference
+
+# Performance and Efficiency
 The quantized version of Zephyr 7B is optimized for environments with limited computational resources. It offers:
 
-Reduced Memory Usage: The model size is significantly smaller, making it suitable for deployment on devices with limited RAM.
-Faster Inference: Quantized models can perform faster inference, providing quicker responses in real-time applications.
+## Reduced Memory Usage: The model size is significantly smaller, making it suitable for deployment on devices with limited RAM.
+## Faster Inference: Quantized models can perform faster inference, providing quicker responses in real-time applications.
 
-Fine-Tuning
+# Fine-Tuning
 You can fine-tune the Zephyr 7B model on your own dataset to better suit specific tasks or domains. Refer to the Huggingface documentation for guidance on how to fine-tune transformer models.
 
-Contributing
+# Contributing
 We welcome contributions to improve the Zephyr 7B model. Please submit pull requests or open issues for any enhancements or bugs you encounter.
 
-License
+# License
 This model is licensed under the MIT License.
 
-Acknowledgments
+# Acknowledgments
 Special thanks to the Huggingface team for providing the transformers library and to the broader AI community for their continuous support and contributions.
 
-Contact
+# Contact
 For any questions or inquiries, please contact us at akshayhedaoo7246@gmail.com.