Update README.md

README.md

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----
-license: apache-2.0
----
+---
+language: en
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+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