metadata

datasets:
  - keivalya/MedQuad-MedicalQnADataset
  - turquise/Comprehensive_Medical_QA_Dataset
language:
  - en
base_model:
  - meta-llama/Llama-3.1-8B-Instruct
tags:
  - medical

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
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.

💻 How to Use This Model

The fine-tuned model is available on Hugging Face under the repository: turquise/MedQA_q4. Below are several ways to use the model:

Using llama-cpp-python Library

from llama_cpp import Llama

# Load the model
llm = Llama.from_pretrained(
    repo_id="turquise/MedQA_q4",
    filename="MedQA.Q4_K_M.gguf",
)

# Query the model
output = llm(
    "What is Medullary Sponge Kidney?",
    max_tokens=512,
    echo=True
)
print(output)

Using llama.cpp

Install via Homebrew

brew install llama.cpp

llama-cli \
  --hf-repo "turquise/MedQA_q4" \
  --hf-file MedQA.Q4_K_M.gguf \
  -p "What is Medullary Sponge Kidney?"

Use Pre-Built Binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases

./llama-cli \
  --hf-repo "turquise/MedQA_q4" \
  --hf-file MedQA.Q4_K_M.gguf \
  -p "What is Medullary Sponge Kidney?"

Build from Source Code

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_q4" \
  --hf-file MedQA.Q4_K_M.gguf \
  -p "What is Medullary Sponge Kidney?"

🤖 Example Usages

This model can assist with the following tasks:

Answering medical questions:

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.
Fine-tuning framework: 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.

📧 Contact

For questions or collaboration, reach out via HF Model Community.