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README.md

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 # YOLOv8-Detection-Quantized: Optimized for Mobile Deployment
 ## Quantized real-time object detection optimized for mobile and edge by Ultralytics
 
+
 Ultralytics YOLOv8 is a machine learning model that predicts bounding boxes and classes of objects in an image. This model is post-training quantized to int8 using samples from the COCO dataset.
 
-This is based on the implementation of YOLOv8-Detection-Quantized found
-[here]({source_repo}). More details on model performance
-accross various devices, can be found [here](https://aihub.qualcomm.com/models/yolov8_det_quantized).
+This model is an implementation of Posenet-Mobilenet found [here](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models/yolo/detect). 
+
+
+More details on model performance accross various devices, can be found [here](https://aihub.qualcomm.com/models/yolov8_det_quantized).
 
 ### Model Details