v0.48.0

See https://github.com/qualcomm/ai-hub-models/releases/v0.48.0 for changelog.

README.md

@@ -16,7 +16,7 @@ pipeline_tag: text-generation
 Falcon3 family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B.
 
 This is based on the implementation of Falcon3-7B-Instruct found [here](https://huggingface.co/tiiuae/Falcon3-7B-Instruct).
-This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/falcon_v3_7b_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/main/qai_hub_models/models/falcon_v3_7b_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.
 
@@ -34,14 +34,14 @@ Download pre-exported model assets from **[Falcon3-7B-Instruct on Qualcomm® AI
 
 ### Option 2: Export with Custom Configurations
 
-Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/falcon_v3_7b_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/main/qai_hub_models/models/falcon_v3_7b_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 [Falcon3-7B-Instruct on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/falcon_v3_7b_instruct) for usage instructions.
+See our repository for [Falcon3-7B-Instruct on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/falcon_v3_7b_instruct) for usage instructions.
 
 ## Model Details
 
@@ -59,8 +59,10 @@ See our repository for [Falcon3-7B-Instruct on GitHub](https://github.com/quic/a
 | Model | Runtime | Precision | Chipset | Context Length | Response Rate (tokens per second) | Time To First Token (range, seconds)
 |---|---|---|---|---|---|---
 | Falcon3-7B-Instruct | GENIE | w4a16 | Snapdragon® 8 Elite Mobile | 4096 | 14.02985 | 0.1265205 - 4.048656
+| Falcon3-7B-Instruct | GENIE | w4a16 | Snapdragon® X2 Elite | 4096 | 22.628025817871094 | 0.1165148 - 3.7284736
 | Falcon3-7B-Instruct | GENIE | w4a16 | Snapdragon® X Elite | 4096 | 9.96829 | 0.1973798 - 6.3161536
 | Falcon3-7B-Instruct | GENIE | w4a16 | Snapdragon® 8 Elite Gen 5 Mobile | 4096 | 15.8303 | 0.10903 - 3.488966
+| Falcon3-7B-Instruct | GENIE | w4a16 | Qualcomm® QCS9075 | 4096 | 10.098000383377075 | 0.1680149 - 5.3764768
 
 ## License
 * The license for the original implementation of Falcon3-7B-Instruct can be found