Update README.md

README.md

@@ -5,4 +5,27 @@ language:
 base_model:
 - meta-llama/Meta-Llama-3-8B
 pipeline_tag: question-answering
----
+---
+
+## Model Overview
+This model is a fine-tuned version of the LLaMA 3.1-8B model, trained on a curated selection of 1,000 samples from the **ChatDoctor (HealthCareMagic-100k)** dataset. It has been optimized for tasks related to medical consultations.
+
+- **Base Model**: LLaMA 3.1-8B
+- **Fine-tuning Dataset**: 1,000 samples from ChatDoctor dataset
+- **Output Format**: GGUF (Grok-Generated Universal Format)
+- **Quantization**: Q4_0 for efficient inference
+
+## Applications
+This model is designed to assist in:
+- Medical question-answering
+- Providing health-related advice
+- Assisting in basic diagnostic reasoning (non-clinical use)
+
+## Model Details
+| **Feature**                  | **Details**                |
+|------------------------------|----------------------------|
+| **Model Type**               | Causal Language Model      |
+| **Architecture**             | LLaMA 3.1-8B              |
+| **Training Data**            | ChatDoctor (1,000 samples) |
+| **Quantization**             | Q4_0                      |
+| **Deployment Format**        | GGUF                      |