feat(analyze): enhance model type identification in analysis

The logic has been updated to differentiate between simplified distilled models and fine-tuned distilled models, and assign a new model type for fine-tuned variations.

src/distiller/analyze.py

@@ -1699,7 +1699,11 @@ Our distilled models exhibit consistent architectural characteristics across dif
 					or "distilled" in model_name_display.lower()
 					or "(ours)" in model_name_display.lower()
 				):
-					model_type = "**🔥 Simplified Distillation**"
+					# Check if it's a fine-tuned model
+					if "fine_tuned" in model_name_display.lower():
+						model_type = "**🎓 Fine-tuned Distillation**"
+					else:
+						model_type = "**🔥 Simplified Distillation**"
 				elif any(code_term in model_name_display.lower() for code_term in ["codebert", "graphcode", "codet5"]):
 					model_type = "Code-Specific"
 				elif "potion" in model_name_display.lower():