Update README.md

README.md

@@ -13,18 +13,12 @@ tags:
 
 # Model Card for Model ID
 
-<!-- Provide a quick summary of what the model is/does. -->
+The Phi-4 Medical QA Model is a fine-tuned version of the "unsloth/phi-4" language model, optimized for answering medical questions with clarity and detail. Leveraging the unsloth framework and Microsoft's advanced quantization techniques, this model provides accurate, context-aware responses tailored to the healthcare domain. It is particularly suited for applications like patient assistance, medical education, and evidence-based healthcare support.
 
 
 
 ## Model Details
 
-The Phi-4 Medical QA Model is a fine-tuned version of the "unsloth/phi-4" language model, optimized for answering medical questions with clarity and detail. Leveraging the unsloth framework and Microsoft's advanced quantization techniques, this model provides accurate, context-aware responses tailored to the healthcare domain. It is particularly suited for applications like patient assistance, medical education, and evidence-based healthcare support.
-
-### Model Description
-
-Model Description
-
 The Phi-4 Medical QA Model builds upon the robust foundation provided by the "unsloth/phi-4" pre-trained language model. Fine-tuned on the PubMedQA dataset, it is specifically designed to answer complex medical questions by integrating domain-specific knowledge and language understanding capabilities.
 
 The model employs several advanced techniques:
@@ -161,8 +155,20 @@ The most common symptoms of diabetes include:
 It is important to note that not everyone with diabetes will experience all of these symptoms. Some people may not experience any symptoms at all, especially in the early stages of the disease. If you are experiencing any of these symptoms, it is important to see a doctor for a proper diagnosis and treatment. Early diagnosis and treatment can help prevent serious health complications associated
 
 
-
-
 ### Framework versions
 
-- PEFT 0.14.0
+- PEFT 0.14.0
+
+@article{unsloth_phi4,
+  title={Phi-4: A Scalable Model for Long-Sequence Tasks},
+  author={UnsLOTH Team and Microsoft},
+  year={2025},
+  publisher={UnsLOTH},
+}
+
+@article{vijayendra_phi4_finetune,
+  title={Phi-4 Fine-Tuned for Medical QA},
+  author={Vijayendra Dwari},
+  year={2025},
+  publisher={Hugging Face},
+}