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-# Fine-Tuning Llama-3.1 with Comprehensive Medical Q&A Dataset
-
-This project fine-tunes the **Llama-3.1 8B Model** using the **Comprehensive Medical Q&A Dataset** to build a specialized model capable of answering medical questions. 
-
----
-
-## 🚀 Features
-
-- Fine-tuned on a diverse dataset of over **43,000 medical Q&A pairs**.
-- Supports **31 distinct types of medical queries**, including treatments, chronic diseases, and protocols.
-- Provides answers sourced from doctors, nurses, and pharmacists.
-
----
-
-## 📂 Dataset Overview
-
-### **Comprehensive Medical Q&A Dataset**
-
-- **Source:** [Huggingface Hub](https://huggingface.co/datasets/keivalya/MedQuad-MedicalQnADataset)
-- **License:** CC0 1.0 Universal (Public Domain Dedication)
-
-#### **Key Details**
-- **Total Questions:** 43,000+  
-- **Categories:** 31 medical question types (`qtype`)  
-- **Columns:**  
-  - `qtype`: Type of medical question (e.g., Treatment, Symptoms).  
-  - `Question`: Patient's medical question.  
-  - `Answer`: Expert response (from doctors, nurses, and pharmacists).  
-
-### **How the Dataset is Used**
-- **Filtering:** Questions are filtered by `qtype` for domain-specific fine-tuning.  
-- **Analysis:** Queries are analyzed to understand patterns, such as correlations between treatments and chronic conditions.  
-- **Applications:** Insights can be applied to build medical educational tools, predictive models, and virtual assistants.
-
-For more details, check the [dataset documentation](https://huggingface.co/datasets/keivalya/MedQuad-MedicalQnADataset).
-
----
-
-## 💻 How to Use This Model
-
-The fine-tuned model is available on Hugging Face under the repository: [`turquise/MedQA_q8`](https://huggingface.co/turquise/MedQA_q8). Below are several ways to use the model:
-
-### **Using llama-cpp-python Library**
-```python
-from llama_cpp import Llama
-
-# Load the model
-llm = Llama.from_pretrained(
-    repo_id="turquise/MedQA_q8",
-    filename="medQA.Q8_0.gguf",
-)
-
-# Query the model
-output = llm(
-    "What is Medullary Sponge Kidney?",
-    max_tokens=512,
-    echo=True
-)
-print(output)
-```
-
-### **Using llama.cpp**
-#### **Install via Homebrew**
-```bash
-brew install llama.cpp
-
-llama-cli \
-  --hf-repo "turquise/MedQA_q8" \
-  --hf-file medQA.Q8_0.gguf \
-  -p "What is Medullary Sponge Kidney?"
-```
-#### **Use Pre-Built Binary**
-```bash
-# Download pre-built binary from:
-# https://github.com/ggerganov/llama.cpp/releases
-
-./llama-cli \
-  --hf-repo "turquise/MedQA_q8" \
-  --hf-file medQA.Q8_0.gguf \
-  -p "What is Medullary Sponge Kidney?"
-```
-#### **Build from Source Code**
-```bash
-git clone https://github.com/ggerganov/llama.cpp.git
-cd llama.cpp
-cmake -B build -DLLAMA_CURL=ON
-cmake --build build -j --target llama-cli
-
-./build/bin/llama-cli \
-  --hf-repo "turquise/MedQA_q8" \
-  --hf-file medQA.Q8_0.gguf \
-  -p "What is Medullary Sponge Kidney?"
-```
-
----
-
-## 🤖 Example Usages
-This model can assist with the following tasks:
-
-- Answering medical questions:
-```python
-question = "What are the symptoms of diabetes?"
-output = llm(question, max_tokens=512)
-print(output)
-```
-- Providing insights for healthcare education: Example: Answering queries about diseases, treatments, and chronic conditions.
-- Supporting virtual assistants by handling frequently asked healthcare-related questions.
-
----
-
-## ⚠️ Disclaimer
-
-- This model **does not provide medical advice** and should not replace professional medical consultation.
-- For any health-related questions or concerns, please consult a doctor or a licensed healthcare professional.
-
----
-
-## 🤖 Applications
-
-This fine-tuned model can be used to:
-- Build **virtual assistants** and chatbots for healthcare-related queries.
-- Assist healthcare professionals by handling routine inquiries.
-- Enhance **medical education platforms** with AI-powered insights.
-
----
-
-## 📜 Acknowledgements
-
-- Dataset: [Huggingface Hub - MedQuad](https://huggingface.co/datasets/keivalya/MedQuad-MedicalQnADataset).
-- Fine-tuning framework: [Unsloth](https://github.com/unslothai/unsloth).
-
-If you use this project or dataset in your research, please credit the original authors.
-
----
-
-## 📝 License
-
-This project is open-sourced under the **CC0 1.0 Universal License**. See the dataset [license details](https://creativecommons.org/publicdomain/zero/1.0/).
-
----
-
-## 📧 Contact
-
-For questions or collaboration, reach out via [HF Model Community](https://huggingface.co/turquise/MedQA_q8/discussions).