v0.57.3

See https://github.com/qualcomm/ai-hub-models/releases/v0.57.3 for changelog.

README.md

@@ -16,7 +16,7 @@ pipeline_tag: text-generation
 Phi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high-quality, reasoning dense data.
 
 This is based on the implementation of Phi-4-Mini-Instruct found [here](https://huggingface.co/microsoft/Phi-4-mini-instruct).
-This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.2/src/qai_hub_models/models/phi_4_mini_instruct) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
+This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/phi_4_mini_instruct) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
 
 Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
 
@@ -40,14 +40,14 @@ For more device-specific assets and performance metrics, visit **[Phi-4-Mini-Ins
 
 ### Option 2: Export with Custom Configurations
 
-Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.2/src/qai_hub_models/models/phi_4_mini_instruct) Python library to compile and export the model with your own:
+Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/phi_4_mini_instruct) Python library to compile and export the model with your own:
 - Custom weights (e.g., fine-tuned checkpoints)
 - Custom input shapes
 - Target device and runtime configurations
 
 This option is ideal if you need to customize the model beyond the default configuration provided here.
 
-See our repository for [Phi-4-Mini-Instruct on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.57.2/src/qai_hub_models/models/phi_4_mini_instruct) for usage instructions.
+See our repository for [Phi-4-Mini-Instruct on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/phi_4_mini_instruct) for usage instructions.
 
 ## Model Details
 

release_assets.json

@@ -1,5 +1,5 @@
 {
-    "version": "0.57.2",
+    "version": "0.57.3",
     "precisions": {
         "q4_0": {
             "universal_assets": {