Update README.md

README.md

@@ -12,12 +12,42 @@ language:
 - en
 ---
 
-# Uploaded  model
+# Model Card for ORANSight Qwen-32B
 
-- **Developed by:** prnshv
+This model belongs to the first release of the ORANSight family of models.
+
+- **Developed by:** NextG lab@ NC State
 - **License:** apache-2.0
-- **Finetuned from model :** unsloth/Qwen2.5-32B-Instruct-bnb-4bit
+- **Long-context Support** up to 128K tokens and can generate up to 8K tokens.  
+- **Fine Tuning Framework:** Unsloth
+  
+### Generate with Transformers  
+Below is a quick example of how to use the model with Hugging Face Transformers:  
+
+```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_Qwen_32B_Instruct")
+result = chatbot(messages)
+print(result)
+```
 
-This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+### 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.  
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+```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}
+}
+```  
+---