Update README.md

README.md

@@ -7,17 +7,47 @@ tags:
 - gemma2
 - trl
 - sft
-license: apache-2.0
+license: gemma
 language:
 - en
 ---
 
-# Uploaded  model
+# Model Card for ORANSight Gemma-9B
 
-- **Developed by:** prnshv
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/gemma-2-27b-it-bnb-4bit
+This model belongs to the first release of the ORANSight family of models.
 
-This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+- **Developed by:** NextG lab@ NC State
+- **License:** gemma
+- **Context Window:** 8192 tokens  
+- **Fine Tuning Framework:** Unsloth
+  
+### Generate with Transformers  
+Below is a quick example of how to use the model with Hugging Face Transformers:  
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+```python
+from transformers import pipeline
+
+# Example query
+messages = [
+    {"role": "system", "content": "You are an O-RAN expert assistant."},
+    {"role": "user", "content": "Explain the E2 interface."},
+]
+
+# Load the model
+chatbot = pipeline("text-generation", model="NextGLab/ORANSight_Gemma_2_9B_Instruct")
+result = chatbot(messages)
+print(result)
+```
+
+### Coming Soon  
+A detailed paper documenting the experiments and results achieved with this model will be available soon. Meanwhile, if you try this model, please cite the below mentioned paper to acknowledge the foundational work that enabled this fine-tuning.  
+
+```bibtex
+@article{gajjar2024oran,
+  title={Oran-bench-13k: An open source benchmark for assessing llms in open radio access networks},
+  author={Gajjar, Pranshav and Shah, Vijay K},
+  journal={arXiv preprint arXiv:2407.06245},
+  year={2024}
+}
+```  
+---