Update README.md

README.md

@@ -19,8 +19,52 @@ Here are some of the optimized configurations we have added:
 1. ONNX model for int4 CPU and Mobile: ONNX model for CPU and mobile using int4 quantization via RTN.
 2. ONNX model for int4 CUDA and DML GPU devices using int4 quantization via RTN.
 
+## Model Run
 You can see how to run examples with ORT GenAI [here](https://github.com/microsoft/onnxruntime-genai/blob/main/examples/python/phi-3-tutorial.md)
 
+For CPU:
+
+```bash
+# Download the model directly using the Hugging Face CLI
+huggingface-cli download microsoft/Phi-4-mini-instruct-onnx/ --include Phi-4-mini-instruct-onnx/cpu_and_mobile/* --local-dir .
+
+# Install the CPU package of ONNX Runtime GenAI
+pip install onnxruntime-genai
+
+# Please adjust the model directory (-m) accordingly
+curl https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/examples/python/phi3-qa.py -o phi3-qa.py
+python phi3-qa.py -m cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4 -e cpu
+```
+
+For CUDA:
+
+```bash
+# Download the model directly using the Hugging Face CLI
+huggingface-cli download onnxruntime/Phi-4-mini-instruct-onnx --include Phi-4-mini-instruct-onnx/gpu/* --local-dir .
+
+# Install the CUDA package of ONNX Runtime GenAI
+pip install onnxruntime-genai-cuda
+
+# Please adjust the model directory (-m) accordingly 
+curl https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/examples/python/phi3-qa.py -o phi3-qa.py
+python phi3-qa.py -m gpu/gpu-int4-rtn-block-32 -e cuda
+```
+
+For DirectML:
+
+```bash
+# Download the model directly using the Hugging Face CLI
+huggingface-cli download onnxruntime/Phi-4-mini-instruct-onnx --include Phi-4-mini-instruct-onnx/gpu/* --local-dir .
+
+# Install the CUDA package of ONNX Runtime GenAI
+pip install onnxruntime-genai-cuda
+
+# Please adjust the model directory (-m) accordingly 
+curl https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/examples/python/phi3-qa.py -o phi3-qa.py
+python phi3-qa.py -m gpu/gpu-int4-rtn-block-32 -e dml
+```
+
+
 ## Model Description
 - Developed by: Microsoft
 - Model type: ONNX