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. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up 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 |
For more device-specific assets and performance metrics, visit Pi0.5 on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models 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 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.
References
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
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