README updates

Author: qti-kromero

meta-llama-Llama-3.1-8B-Instruct/QAIRT/README.md

@@ -1,10 +1,10 @@
-# Llama3.1-8B Model Optimization
+# Llama3.1-8B-Instruct Model Optimization
 
-This directory demonstrates the optimization of the [Llama3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) model using various AIMET quantization techniques.
+This directory demonstrates the optimization of the [Llama3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B) model using various AIMET quantization techniques.
 
 ## Overview
 
-This workflow utilizes a Llama3.1-8B script to perform quantization based on the [Qualcomm-distributed Jupyter notebook](https://qpm.qualcomm.com/#/main/tools/details/Tutorial_for_Llama3_1_Compute) for Llama3.1-8B (v1.0.1.260219) which is available for download via QPM.
+This workflow utilizes a Llama3.1-8B-Instruct script to perform quantization based on the [Qualcomm-distributed Jupyter notebook](https://qpm.qualcomm.com/#/main/tools/details/Tutorial_for_Llama3_1_Compute) for Llama3.1-8B-Instruct (v1.0.1.260219) which is available for download via QPM.
 
 After quantization, the QAIRT GenAIBuilder API is utilized to apply additional model transformations, perform conversion, and compile the model for execution on the HTP backend.
 
@@ -13,19 +13,21 @@ Finally, a prepared QAIRT DLC is encapsulated in an ONNX protobuf and exported t
 ## Requirements
 
 This workflow has been tested using the following host configuration:
-    * Python 3.10
-    * QAIRT 2.45.40
+* Python 3.10
+* qairt-dev 0.5.0
+* QAIRT 2.45.40
 
 Further, this workflow has been tested on the following target configurations:
-    * HTP backend on SC8380XP
-    * HTP backend on SC8480XP
+* HTP backend on SC8480XP
 
 ## Preparation Instructions
 
 1. Install olive[qairt]
 
 ```bash
 pip install olive[qairt]
+pip list | grep qairt-dev  # Ensure the proper qairt-dev version  was installed
+pip install qairt-dev[onnx]==<version>  # Install the proper qairt-dev version, if not installed
 ```
 
 2. (Optional) Use qairt-vm to install a non-default version of QAIRT and set QAIRT_SDK_ROOT

microsoft-Phi-4-reasoning/QAIRT/README.md

@@ -14,6 +14,7 @@ Finally, a prepared QAIRT DLC is encapsulated in an ONNX protobuf and exported t
 
 This workflow has been tested using the following host configuration:
 * Python 3.10
+* qairt-dev 0.5.0
 * QAIRT 2.45.40
 
 Further, this workflow has been tested on the following target configurations:
@@ -25,6 +26,8 @@ Further, this workflow has been tested on the following target configurations:
 
 ```bash
 pip install olive[qairt]
+pip list | grep qairt-dev  # Ensure the proper qairt-dev version  was installed
+pip install qairt-dev[onnx]==<version>  # Install the proper qairt-dev version, if not installed
 ```
 
 2. (Optional) Use qairt-vm to install a non-default version of QAIRT and set QAIRT_SDK_ROOT