Nigerian Health Llama 7B
Model Description
This is a fine-tuned version of Llama-2 7B optimized for Nigerian healthcare conversations and medical information. The model is designed to provide accurate and culturally relevant healthcare information in the Nigerian context.
Intended Use
This model is intended for:
- Healthcare information dissemination
- Medical consultation support
- Health education in Nigerian context
Training Details
Base Model: Llama-2 7B Training Data: Nigerian healthcare datasets Training Procedure: Fine-tuning with medical domain adaptation
Inference API Usage
from transformers import pipeline
generator = pipeline('text-generation', model="johnuwaishe/Nigerian-health-llama-7b")
response = generator("What are common symptoms of malaria?", max_length=100)
print(response[0]['generated_text'])
Limitations
- The model should not be used as a replacement for professional medical advice
- Responses should be verified by healthcare professionals
- May have biases from training data
Citation
If you use this model, please cite:
@misc{nigerian-health-llama,
author = {Johnuwaishe},
title = {Nigerian Health Llama 7B},
year = {2024},
publisher = {Hugging Face},
journal = {Hugging Face Model Hub},
}
- Downloads last month
- 17
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
1
Ask for provider support