README.md

---
license: apache-2.0
language:
- en
base_model:
- tiiuae/falcon-7b-instruct
pipeline_tag: text-generation
library_name: transformers
tags:
- medical
- diseases
- falcon-7b
- LoRA
- fine-tuned
---

# Fine-Tuned Falcon-7B for Medical Text Generation

This is a fine-tuned version of the **Falcon-7B-Instruct** model, adapted for generating medical text related to common diseases. The model has been fine-tuned using **LoRA (Low-Rank Adaptation)** on a dataset of medical texts.
## Model Details

- **Base Model**: `tiiuae/falcon-7b-instruct`
- **Fine-Tuning Method**: LoRA (Low-Rank Adaptation)
- **Quantization**: 4-bit (using `bitsandbytes`)
- **Training Dataset**: Medical text data (common diseases)
- **Training Framework**: PyTorch with Hugging Face Transformers
- **Fine-Tuning Duration**: 3 epochs
- **Learning Rate**: 1e-3
- **Batch Size**: 2 (per device)

## Usage

You can use this model for generating medical text or answering questions related to common diseases.

### Using the Hugging Face Inference API

1. Install the `transformers` library:
   ```bash
   pip install transformers
"""