Update README.md

README.md

@@ -18,7 +18,7 @@ This document presents the evaluation results of `Llama-3.1-8B-Instruct-gptq-4bi
 
 ## 📊 Evaluation Summary
 
-| **Metric**            | **Value**  | **Description**  | **Llama-3.1-8B-Instruct**  |
+| **Metric**            | **Value**  | **Description**  | **[original](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)**  |
 |----------------------|-----------|-----------------|-----------|
 | **Accuracy (acc,none)** | `47.1%`  | Raw accuracy - percentage of correct answers. | `53.1%` |
 | **Standard Error (acc_stderr,none)** | `1.46%` | Uncertainty in the accuracy estimate. | `1.45%` |
@@ -73,4 +73,26 @@ This document presents the evaluation results of `Llama-3.1-8B-Instruct-gptq-4bi
 
 ---
 
+
+## **Citation**
+If you use this model in your research or project, please cite it as follows:
+
+📌 **Dr. Wasif Masood** (2024). *4bit Llama-3.1-8B-Instruct*. Version 1.0.  
+Available at: [https://huggingface.co/empirischtech/Meta-Llama-3.1-8B-Instruct-gptq-4bit](https://huggingface.co/empirischtech/Meta-Llama-3.1-8B-Instruct-gptq-4bit)
+
+### **BibTeX:**
+```bibtex
+@dataset{rwmasood2024,
+  author    = {Dr. Wasif Masood and Empirisch Tech GmbH},
+  title     = {Llama-3.1-8B 4 bit quantized},
+  year      = {2024},
+  publisher = {Hugging Face},
+  url       = {https://huggingface.co/empirischtech/Meta-Llama-3.1-8B-Instruct-gptq-4bit},
+  version   = {1.0},
+  license   = {llama3.1},
+  institution = {Empirisch Tech GmbH}
+}
+
+
+
 📌 Let us know if you need further analysis or model tuning! 🚀