v0.63.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.63.0 for changelog.
- README.md +47 -49
- release_assets.json +7 -7
README.md
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@@ -15,7 +15,7 @@ pipeline_tag: image-classification
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RepViT is a lightweight pure CNN model for mobile devices, incorporating efficient architectural designs from Vision Transformers into CNNs. It achieves over 80% top-1 accuracy on ImageNet with 1ms latency on an iPhone 12.
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This is based on the implementation of RepViT found [here](https://github.com/THU-MIG/RepViT).
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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.
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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.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.
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| QNN_DLC | float | Universal | QAIRT 2.
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| TFLITE | float | Universal | QAIRT 2.
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For more device-specific assets and performance metrics, visit **[RepViT on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/repvit)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [RepViT on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| RepViT | ONNX | float | Snapdragon®
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| RepViT | ONNX | float | Snapdragon®
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| RepViT | ONNX | float | Snapdragon®
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| RepViT | ONNX | float | Snapdragon®
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| RepViT | ONNX | float |
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| RepViT | ONNX | float |
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| RepViT | ONNX | float | Qualcomm®
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| RepViT | ONNX | float | Qualcomm® Dragonwing™
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| RepViT | ONNX | float | Qualcomm®
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| RepViT | ONNX | float | Qualcomm® Dragonwing™
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| RepViT | ONNX | float |
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| RepViT | ONNX | float |
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| RepViT | QNN_DLC | float | Snapdragon®
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| RepViT | QNN_DLC | float | Snapdragon®
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| RepViT | QNN_DLC | float | Snapdragon®
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| RepViT | QNN_DLC | float | Snapdragon®
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| RepViT | QNN_DLC | float |
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| RepViT | QNN_DLC | float |
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| RepViT | QNN_DLC | float | Qualcomm®
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| RepViT | QNN_DLC | float | Qualcomm®
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| RepViT | QNN_DLC | float | Qualcomm®
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| RepViT | QNN_DLC | float | Qualcomm®
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| RepViT | QNN_DLC | float | Qualcomm®
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| RepViT | QNN_DLC | float | Qualcomm®
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| RepViT | QNN_DLC | float | Qualcomm® Dragonwing™
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| RepViT | QNN_DLC | float | Qualcomm®
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| RepViT | QNN_DLC | float | Qualcomm®
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| RepViT | QNN_DLC | float |
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| RepViT |
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| RepViT | TFLITE | float | Snapdragon® 8
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| RepViT | TFLITE | float | Snapdragon® 8 Gen
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| RepViT | TFLITE | float |
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| RepViT | TFLITE | float | Qualcomm® Dragonwing™
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| RepViT | TFLITE | float | Qualcomm®
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| RepViT | TFLITE | float | Qualcomm®
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| RepViT | TFLITE | float | Qualcomm®
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| RepViT | TFLITE | float | Qualcomm®
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| RepViT | TFLITE | float | Qualcomm®
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| RepViT | TFLITE | float | Qualcomm® Dragonwing™
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| RepViT | TFLITE | float | Qualcomm®
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| RepViT | TFLITE | float | Qualcomm® SA8295P | 9.
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| RepViT | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.886 ms | 0 - 164 MB | NPU
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| RepViT | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.514 ms | 0 - 166 MB | NPU
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## License
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* The license for the original implementation of RepViT can be found
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RepViT is a lightweight pure CNN model for mobile devices, incorporating efficient architectural designs from Vision Transformers into CNNs. It achieves over 80% top-1 accuracy on ImageNet with 1ms latency on an iPhone 12.
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This is based on the implementation of RepViT found [here](https://github.com/THU-MIG/RepViT).
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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/v0.63.0/src/qai_hub_models/models/repvit) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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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.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/repvit/releases/v0.63.0/repvit-onnx-float.zip)
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| QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/repvit/releases/v0.63.0/repvit-qnn_dlc-float.zip)
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| TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/repvit/releases/v0.63.0/repvit-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[RepViT on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/repvit)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/repvit) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [RepViT on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/repvit) for usage instructions.
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| RepViT | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1.43 ms | 0 - 114 MB | NPU
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| RepViT | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.776 ms | 0 - 113 MB | NPU
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| RepViT | ONNX | float | Snapdragon® X2 Elite | 1.697 ms | 2 - 2 MB | NPU
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| RepViT | ONNX | float | Snapdragon® X Elite | 3.327 ms | 48 - 48 MB | NPU
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| RepViT | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.356 ms | 0 - 194 MB | NPU
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| RepViT | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 11.235 ms | 0 - 192 MB | NPU
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| RepViT | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 4.608 ms | 0 - 5 MB | NPU
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| RepViT | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.192 ms | 0 - 50 MB | NPU
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| RepViT | ONNX | float | Qualcomm® QCS8450 | 11.235 ms | 0 - 192 MB | NPU
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| RepViT | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 4.334 ms | 0 - 4 MB | NPU
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| RepViT | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 3.327 ms | 48 - 48 MB | NPU
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| RepViT | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.776 ms | 0 - 113 MB | NPU
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| RepViT | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1.519 ms | 1 - 106 MB | NPU
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| RepViT | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.887 ms | 0 - 101 MB | NPU
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| RepViT | QNN_DLC | float | Snapdragon® X2 Elite | 2.057 ms | 1 - 1 MB | NPU
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| RepViT | QNN_DLC | float | Snapdragon® X Elite | 3.864 ms | 1 - 1 MB | NPU
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| RepViT | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.529 ms | 1 - 182 MB | NPU
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| RepViT | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 11.884 ms | 1 - 175 MB | NPU
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| RepViT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 4.73 ms | 1 - 4 MB | NPU
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| RepViT | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.476 ms | 1 - 3 MB | NPU
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| RepViT | QNN_DLC | float | Qualcomm® SA8775P | 4.728 ms | 1 - 103 MB | NPU
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| RepViT | QNN_DLC | float | Qualcomm® SA8650P | 4.728 ms | 1 - 103 MB | NPU
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| RepViT | QNN_DLC | float | Qualcomm® SA8255P | 4.728 ms | 1 - 103 MB | NPU
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| RepViT | QNN_DLC | float | Qualcomm® QCS8450 | 11.884 ms | 1 - 175 MB | NPU
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| RepViT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 4.556 ms | 3 - 5 MB | NPU
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| RepViT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 3.864 ms | 1 - 1 MB | NPU
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| RepViT | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.887 ms | 0 - 101 MB | NPU
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| RepViT | QNN_DLC | float | Qualcomm® SA8295P | 9.508 ms | 1 - 103 MB | NPU
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| RepViT | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1.507 ms | 0 - 169 MB | NPU
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| RepViT | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.876 ms | 0 - 161 MB | NPU
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| RepViT | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.51 ms | 0 - 230 MB | NPU
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| RepViT | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 11.937 ms | 0 - 224 MB | NPU
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| RepViT | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 4.746 ms | 0 - 51 MB | NPU
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| RepViT | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.429 ms | 0 - 3 MB | NPU
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| RepViT | TFLITE | float | Qualcomm® SA8775P | 4.696 ms | 0 - 164 MB | NPU
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| RepViT | TFLITE | float | Qualcomm® SA8650P | 4.696 ms | 0 - 164 MB | NPU
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| RepViT | TFLITE | float | Qualcomm® SA8255P | 4.696 ms | 0 - 164 MB | NPU
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| RepViT | TFLITE | float | Qualcomm® QCS8450 | 11.937 ms | 0 - 224 MB | NPU
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| RepViT | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 4.571 ms | 0 - 51 MB | NPU
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| RepViT | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.876 ms | 0 - 161 MB | NPU
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| RepViT | TFLITE | float | Qualcomm® SA8295P | 9.497 ms | 0 - 159 MB | NPU
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## License
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* The license for the original implementation of RepViT can be found
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release_assets.json
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{
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"version": "0.
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"precisions": {
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"float": {
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"universal_assets": {
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"onnx": {
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"tool_versions": {
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"qairt": "2.
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"onnx_runtime": "1.27.1"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/repvit/releases/v0.
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},
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"qnn_dlc": {
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"tool_versions": {
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"qairt": "2.
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/repvit/releases/v0.
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},
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"tflite": {
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"tool_versions": {
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"qairt": "2.
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/repvit/releases/v0.
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}
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}
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}
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{
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"version": "0.63.0",
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"precisions": {
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"float": {
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"universal_assets": {
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"onnx": {
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"tool_versions": {
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"qairt": "2.50.0.260828221209",
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"onnx_runtime": "1.27.1"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/repvit/releases/v0.63.0/repvit-onnx-float.zip"
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},
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"qnn_dlc": {
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"tool_versions": {
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"qairt": "2.50.0.260828221209"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/repvit/releases/v0.63.0/repvit-qnn_dlc-float.zip"
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},
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"tflite": {
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"tool_versions": {
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"qairt": "2.50.0.260828221209"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/repvit/releases/v0.63.0/repvit-tflite-float.zip"
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}
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}
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}
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