OpusMT-En-Es: Optimized for Qualcomm Devices
OpusMT English to Spanish translation model is a state-of-the-art neural machine translation system designed for translating English text into Spanish. This model is based on the Marian transformer architecture and has been optimized for edge inference by splitting into encoder and decoder components with modified attention mechanisms. It exhibits robust performance for real-world translation tasks, making it highly reliable for practical applications. The model supports input sequences up to 256 tokens and can generate Spanish translations with high accuracy.
This is based on the implementation of OpusMT-En-Es 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 |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| QNN_CONTEXT_BINARY | float | qualcomm-qcs8275 | QAIRT 2.42 | Download |
| QNN_DLC | float | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | Download |
For more device-specific assets and performance metrics, visit OpusMT-En-Es 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 OpusMT-En-Es on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.text_generation
Model Stats:
- Model checkpoint: Helsinki-NLP/opus-mt-en-es
- Input resolution: 256 tokens (English text)
- Max input sequence length: 256 tokens
- Max output sequence length: 256 tokens
- Number of parameters (OpusMTEncoder): ~74M
- Model size (OpusMTEncoder) (float): ~280 MB
- Number of parameters (OpusMTDecoder): ~74M
- Model size (OpusMTDecoder) (float): ~280 MB
- Number of encoder layers: 6
- Number of decoder layers: 6
- Attention heads: 8
- Hidden dimension: 512
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| OpusMTDecoder | ONNX | float | Snapdragon® X2 Elite | 1.835 ms | 161 - 161 MB | NPU |
| OpusMTDecoder | ONNX | float | Snapdragon® X Elite | 3.093 ms | 160 - 160 MB | NPU |
| OpusMTDecoder | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.738 ms | 0 - 393 MB | NPU |
| OpusMTDecoder | ONNX | float | Qualcomm® QCS8550 (Proxy) | 3.527 ms | 12 - 16 MB | NPU |
| OpusMTDecoder | ONNX | float | Qualcomm® QCS9075 | 4.271 ms | 12 - 27 MB | NPU |
| OpusMTDecoder | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.373 ms | 0 - 428 MB | NPU |
| OpusMTDecoder | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.203 ms | 0 - 378 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Snapdragon® X2 Elite | 1.978 ms | 6 - 6 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Snapdragon® X Elite | 3.075 ms | 6 - 6 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.397 ms | 0 - 190 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 6.856 ms | 3 - 168 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 3.052 ms | 1 - 3 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® SA8775P | 3.956 ms | 3 - 169 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® QCS9075 | 3.363 ms | 8 - 16 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 4.017 ms | 2 - 169 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® SA7255P | 6.856 ms | 3 - 168 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® SA8295P | 4.156 ms | 6 - 157 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.123 ms | 0 - 166 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.899 ms | 0 - 171 MB | NPU |
| OpusMTDecoder | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.793 ms | 0 - 373 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 6.672 ms | 0 - 230 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 3.411 ms | 0 - 2 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® SA8775P | 4.238 ms | 0 - 230 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® QCS9075 | 4.187 ms | 0 - 186 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 4.616 ms | 0 - 355 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® SA7255P | 6.672 ms | 0 - 230 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® SA8295P | 4.886 ms | 0 - 212 MB | NPU |
| OpusMTDecoder | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.574 ms | 0 - 405 MB | NPU |
| OpusMTDecoder | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.135 ms | 0 - 374 MB | NPU |
| OpusMTEncoder | ONNX | float | Snapdragon® X2 Elite | 2.195 ms | 108 - 108 MB | NPU |
| OpusMTEncoder | ONNX | float | Snapdragon® X Elite | 5.058 ms | 108 - 108 MB | NPU |
| OpusMTEncoder | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.398 ms | 0 - 262 MB | NPU |
| OpusMTEncoder | ONNX | float | Qualcomm® QCS8550 (Proxy) | 4.766 ms | 0 - 136 MB | NPU |
| OpusMTEncoder | ONNX | float | Qualcomm® QCS9075 | 6.216 ms | 16 - 18 MB | NPU |
| OpusMTEncoder | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.774 ms | 0 - 293 MB | NPU |
| OpusMTEncoder | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.036 ms | 0 - 256 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Snapdragon® X2 Elite | 2.011 ms | 0 - 0 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Snapdragon® X Elite | 3.898 ms | 0 - 0 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.544 ms | 0 - 86 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 12.602 ms | 0 - 52 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 3.531 ms | 0 - 2 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® SA8775P | 4.536 ms | 0 - 54 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® QCS9075 | 4.674 ms | 0 - 5 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 4.712 ms | 0 - 85 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® SA7255P | 12.602 ms | 0 - 52 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® SA8295P | 5.355 ms | 0 - 54 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.139 ms | 0 - 55 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.615 ms | 0 - 58 MB | NPU |
| OpusMTEncoder | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.645 ms | 0 - 260 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 12.793 ms | 6 - 99 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 3.698 ms | 0 - 3 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® SA8775P | 4.814 ms | 0 - 93 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® QCS9075 | 5.17 ms | 4 - 119 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 5.091 ms | 6 - 259 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® SA7255P | 12.793 ms | 6 - 99 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® SA8295P | 5.655 ms | 6 - 95 MB | NPU |
| OpusMTEncoder | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.223 ms | 0 - 282 MB | NPU |
| OpusMTEncoder | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.76 ms | 0 - 243 MB | NPU |
License
- The license for the original implementation of OpusMT-En-Es 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.
