Update README.md

README.md

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+# Llama-3.1-8B Medical Fine-Tuned Model
+
+## Overview
+This is a **fine-tuned version of Llama-3.1-8B** trained on a specialized **medical dataset** to enhance accuracy and contextual understanding in healthcare-related queries. The model has been optimized to provide **precise and reliable answers** to medical questions while improving performance in topic tagging and sentiment analysis.
+
+## Features
+- **Medical Question Answering**: Improved capability to understand and respond to medical inquiries with domain-specific knowledge.
+- **Topic Tagging**: Enhanced ability to categorize medical content into relevant topics for better organization and retrieval.
+- **Sentiment Analysis**: Tuned to assess emotional tone in medical discussions, making it useful for patient feedback analysis and clinical communication.
+
+## Use Cases
+- **Clinical Decision Support**: Assisting healthcare professionals in retrieving relevant medical insights.
+- **Medical Chatbots**: Providing accurate and context-aware responses to patient queries.
+- **Healthcare Content Analysis**: Extracting key topics and sentiments from medical literature, patient reviews, and discussions.
+
+## Model Details
+- **Base Model**: Llama-3.1-8B
+- **Fine-Tuning Dataset**: Curated medical literature, clinical case studies, and healthcare FAQs
+- **Task-Specific Training**: Trained with reinforcement learning and domain-specific optimizations
+
+## Installation & Usage
+```python
+from transformers import AutoModel, AutoTokenizer
+
+model_name = "empirischtech/Llama-3.1-8B-Instruct-MedQA"
+
+# Load tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModel.from_pretrained(model_name)
+
+# Example usage
+text = "What are the symptoms of diabetes?"
+inputs = tokenizer(text, return_tensors="pt")
+outputs = model(**inputs)
+```
+
+## License
+This model is intended for research and educational purposes. Please review the licensing terms before commercial use.
+
+## Acknowledgments
+We acknowledge the contributions of medical professionals and researchers who provided valuable insights for fine-tuning this model.
+
+---
+**Disclaimer**: This model is not a substitute for professional medical advice. Always consult a healthcare provider for clinical decisions.
 
-Fine tuned version of Llama-3.1-8B on medical data. Model is tuned to better answer medical questions, topic tagging and sentiment analysis.