Update README.md

README.md

@@ -1,3 +1,13 @@
+---
+language:
+- hi
+- en
+base_model:
+- bharatgenai/Param-1-2.9B-Instruct
+pipeline_tag: text-generation
+tags:
+- Ayurvedic
+---
 <div align="center">
   <img src="https://huggingface.co/bharatgenai/Param-1-2.9B-Instruct/resolve/main/BharatGen%20Logo%20(1).png" width="60%" alt="BharatGen" />
 </div>
@@ -107,7 +117,7 @@ print(tokenizer.decode(output[0], skip_special_tokens=True))
 
 
 ## 📊 Benchmark Results: Ayur Param vs Baselines
-- [BhashaBench-Ayur benchmark]([https://github.com/BharatGen-IITB-TIH/BhashaBench](https://huggingface.co/datasets/bharatgenai/BhashaBench-Ayur))
+- [BhashaBench-Ayur benchmark](https://huggingface.co/datasets/bharatgenai/BhashaBench-Ayur)
 ---
 
 ## 1. Overall Performance
@@ -176,10 +186,7 @@ print(tokenizer.decode(output[0], skip_special_tokens=True))
 From the above results, **Ayur Param not only outperforms all similar-sized models** but also achieves **competitive or better performance than larger models** across multiple metrics.
 
 
-## License
-This dataset is released under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
-
 ## Contact
 For any questions or feedback, please contact:
 - Sravan Kumar ([email protected])
-- Kundeshwar Pundalik ([email protected])
+- Kundeshwar Pundalik ([email protected])