Update README.md

README.md

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 # litert-community/Phi-4-mini-instruct
 
-This model provides a few variants of [microsoft/Phi-4-mini-instruct](microsoft/Phi-4-mini-instruct) that are ready for deployment on Android using the [LiteRT stack](https://ai.google.dev/edge/litert) and [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference).
+This model provides a few variants of [microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) that are ready for deployment on Android using the [LiteRT stack](https://ai.google.dev/edge/litert) and [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference).
 
 ## Use the models
 
@@ -13,7 +13,7 @@ This model provides a few variants of [microsoft/Phi-4-mini-instruct](microsoft/
 
 *Disclaimer: The target deployment surface for the LiteRT models is Android/iOS/Web and the stack has been optimized for performance on these targets. Trying out the system in Colab is an easier way to familiarize yourself with the LiteRT stack, with the caveat that the performance (memory and latency) on Colab could be much worse than on a local device.*
 
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/#fileId=https://huggingface.co/litert-community/Phi-4-mini-instruct/blob/main/phi4_tflite.ipynb)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/#fileId=https://huggingface.co/litert-community/Phi-4-mini-instruct/blob/main/phi4_litert.ipynb)
 
 ### Android