v0.65.0

See https://github.com/qualcomm/ai-hub-models/releases/v0.65.0 for changelog.

LICENSE

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+The license of the original trained model can be found at https://github.com/facebookresearch/vjepa2/blob/main/LICENSE.

README.md

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+---
+library_name: pytorch
+license: mit
+tags:
+- backbone
+- android
+pipeline_tag: video-classification
+
+---
+
+![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/vjepa2/web-assets/model_demo.png)
+
+# V-JEPA-2: Optimized for Qualcomm Devices
+
+V-JEPA 2 (Video Joint-Embedding Predictive Architecture 2) is a self-supervised video encoder from Meta AI that uses a ViT (Vision Transformer) backbone to produce per-token video embeddings. It is used as a frozen backbone for downstream video understanding tasks such as action recognition and video retrieval.
+
+This is based on the implementation of V-JEPA-2 found [here](https://github.com/facebookresearch/vjepa2).
+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/v0.65.0/src/qai_hub_models/models/vjepa2) 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.
+
+## Getting Started
+There are two ways to deploy this model on your device:
+
+### Option 1: Download Pre-Exported Models
+
+Below are pre-exported model assets ready for deployment.
+
+| Runtime | Precision | Chipset | SDK Versions | Download |
+|---|---|---|---|---|
+| ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.30.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/vjepa2/releases/v0.65.0/vjepa2-onnx-float.zip)
+| QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/vjepa2/releases/v0.65.0/vjepa2-qnn_dlc-float.zip)
+
+For more device-specific assets and performance metrics, visit **[V-JEPA-2 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/vjepa2)**.
+
+
+### Option 2: Export with Custom Configurations
+
+Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.65.0/src/qai_hub_models/models/vjepa2) 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 [V-JEPA-2 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.65.0/src/qai_hub_models/models/vjepa2) for usage instructions.
+
+## Model Details
+
+**Model Type:** Model_use_case.video_classification
+
+**Model Stats:**
+- Input resolution: 256x256
+- Model checkpoint: facebook/vjepa2-vitl-fpc64-256
+- Model size (float): 1.13 GB
+- Model size (w8a16): 304 MB
+- Number of frames: 8
+- Number of parameters: 304M
+
+## Performance Summary
+| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
+|---|---|---|---|---|---|---
+| V-JEPA-2 | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 196.793 ms | 8 - 2806 MB | NPU
+| V-JEPA-2 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 259.387 ms | 9 - 2587 MB | NPU
+| V-JEPA-2 | ONNX | float | Snapdragon® X2 Elite | 187.712 ms | 7 - 7 MB | NPU
+| V-JEPA-2 | ONNX | float | Snapdragon® X Elite | 431.083 ms | 601 - 601 MB | NPU
+| V-JEPA-2 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 463.704 ms | 6 - 16 MB | NPU
+| V-JEPA-2 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 431.137 ms | 0 - 637 MB | NPU
+| V-JEPA-2 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 470.815 ms | 6 - 15 MB | NPU
+| V-JEPA-2 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 431.083 ms | 601 - 601 MB | NPU
+| V-JEPA-2 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 259.387 ms | 9 - 2587 MB | NPU
+| V-JEPA-2 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 219.491 ms | 0 - 2608 MB | NPU
+| V-JEPA-2 | QNN_DLC | float | Snapdragon® X2 Elite | 167.039 ms | 6 - 6 MB | NPU
+| V-JEPA-2 | QNN_DLC | float | Snapdragon® X Elite | 396.705 ms | 6 - 6 MB | NPU
+| V-JEPA-2 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 584.698 ms | 6 - 3557 MB | NPU
+| V-JEPA-2 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 435.924 ms | 6 - 19 MB | NPU
+| V-JEPA-2 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 392.929 ms | 6 - 1221 MB | NPU
+| V-JEPA-2 | QNN_DLC | float | Qualcomm® QCS8450 | 584.698 ms | 6 - 3557 MB | NPU
+| V-JEPA-2 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 431.071 ms | 6 - 18 MB | NPU
+| V-JEPA-2 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 396.705 ms | 6 - 6 MB | NPU
+| V-JEPA-2 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 219.491 ms | 0 - 2608 MB | NPU
+| V-JEPA-2 | QNN_DLC | float | Qualcomm® SA8295P | 533.823 ms | 4 - 2167 MB | NPU
+| V-JEPA-2 | QNN_DLC | float | Snapdragon® 8 Elite Gen 6 Mobile | 212.722 ms | 6 - 2744 MB | NPU
+
+## License
+* The license for the original implementation of V-JEPA-2 can be found
+  [here](https://github.com/facebookresearch/vjepa2/blob/main/LICENSE).
+
+## References
+* [V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning](https://arxiv.org/abs/2506.09985)
+* [Source Model Implementation](https://github.com/facebookresearch/vjepa2)
+
+## Community
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
+* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).

release_assets.json

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+{
+    "version": "0.65.0",
+    "precisions": {
+        "float": {
+            "universal_assets": {
+                "onnx": {
+                    "tool_versions": {
+                        "qairt": "2.50.0.260828221209",
+                        "onnx_runtime": "1.30.0"
+                    },
+                    "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/vjepa2/releases/v0.65.0/vjepa2-onnx-float.zip"
+                },
+                "qnn_dlc": {
+                    "tool_versions": {
+                        "qairt": "2.50.0.260828221209"
+                    },
+                    "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/vjepa2/releases/v0.65.0/vjepa2-qnn_dlc-float.zip"
+                }
+            }
+        }
+    }
+}