v0.54.0

See https://github.com/qualcomm/ai-hub-models/releases/v0.54.0 for changelog.

LICENSE

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+The license of the original trained model can be found at https://github.com/Physical-Intelligence/openpi/blob/main/LICENSE.

README.md

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+---
+library_name: pytorch
+license: other
+tags:
+- generative_ai
+- android
+pipeline_tag: robotics
+
+---
+
+![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pi05/web-assets/model_demo.png)
+
+# Pi0.5: Optimized for Qualcomm Devices
+
+Pi0.5 is a vision-language-action model that co-trains on diverse data sources (robot demos, web data, semantic subtasks) to enable open-world generalization for long-horizon robotic manipulation.
+
+This is based on the implementation of Pi0.5 found [here](https://github.com/Physical-Intelligence/openpi).
+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/src/qai_hub_models/models/pi05) 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 |
+|---|---|---|---|---|
+| QNN_CONTEXT_BINARY | mixed | Qualcomm® QCS9075 | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pi05/releases/v0.54.0/pi05-qnn_context_binary-mixed-qualcomm_qcs9075.zip)
+
+For more device-specific assets and performance metrics, visit **[Pi0.5 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/pi05)**.
+
+
+### Option 2: Export with Custom Configurations
+
+Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/pi05) 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 [Pi0.5 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/pi05) for usage instructions.
+
+## Model Details
+
+**Model Type:** Model_use_case.robotics
+
+**Model Stats:**
+- Number of cameras: 3
+- Action chunk size: 50
+- Vision resolution: 224x224
+- Quantization: Mixed (w4a16 backbone, w8a16 vision encoder and action expert)
+
+## Performance Summary
+| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
+|---|---|---|---|---|---|---
+| action_expert | QNN_CONTEXT_BINARY | mixed | Qualcomm® QCS9075 | 30.99 ms | 34 - 70 MB | NPU
+| backbone | QNN_CONTEXT_BINARY | mixed | Qualcomm® QCS9075 | 398.479 ms | 12 - 60 MB | NPU
+| token_emb | QNN_CONTEXT_BINARY | mixed | Qualcomm® QCS9075 | 4.221 ms | 6 - 26 MB | NPU
+| vision_encoder | QNN_CONTEXT_BINARY | mixed | Qualcomm® QCS9075 | 40.566 ms | 1 - 5 MB | NPU
+
+## License
+* The license for the original implementation of Pi0.5 can be found
+  [here](https://github.com/Physical-Intelligence/openpi/blob/main/LICENSE).
+
+## References
+* [Pi0.5: a Vision-Language-Action Model with Open-World Generalization](https://www.physicalintelligence.company/download/pi05.pdf)
+* [Source Model Implementation](https://github.com/Physical-Intelligence/openpi)
+
+## 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).
+
+## Usage and Limitations
+
+This model may not be used for or in connection with any of the following applications:
+
+- Accessing essential private and public services and benefits;
+- Administration of justice and democratic processes;
+- Assessing or recognizing the emotional state of a person;
+- Biometric and biometrics-based systems, including categorization of persons based on sensitive characteristics;
+- Education and vocational training;
+- Employment and workers management;
+- Exploitation of the vulnerabilities of persons resulting in harmful behavior;
+- General purpose social scoring;
+- Law enforcement;
+- Management and operation of critical infrastructure;
+- Migration, asylum and border control management;
+- Predictive policing;
+- Real-time remote biometric identification in public spaces;
+- Recommender systems of social media platforms;
+- Scraping of facial images (from the internet or otherwise); and/or
+- Subliminal manipulation

release_assets.json

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+{
+    "version": "0.54.0",
+    "precisions": {
+        "mixed": {
+            "chipset_assets": {
+                "qualcomm-qcs9075": {
+                    "qnn_context_binary": {
+                        "tool_versions": {
+                            "qairt": "2.45.0.260326154327"
+                        },
+                        "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pi05/releases/v0.54.0/pi05-qnn_context_binary-mixed-qualcomm_qcs9075.zip"
+                    }
+                }
+            }
+        }
+    }
+}