OpusMT-Es-En: Optimized for Qualcomm Devices
OpusMT Spanish to English translation model is a state-of-the-art neural machine translation system designed for translating Spanish text into English. 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 English translations with high accuracy.
This is based on the implementation of OpusMT-Es-En 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-Es-En 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-Es-En on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.text_generation
Model Stats:
- Model checkpoint: Helsinki-NLP/opus-mt-es-en
- Input resolution: 256 tokens (Spanish 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 | 1.755 ms | 161 - 161 MB | NPU |
| OpusMTDecoder | ONNX | float | Snapdragon® X Elite | 3.141 ms | 160 - 160 MB | NPU |
| OpusMTDecoder | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.754 ms | 0 - 397 MB | NPU |
| OpusMTDecoder | ONNX | float | Qualcomm® QCS8550 (Proxy) | 3.52 ms | 12 - 22 MB | NPU |
| OpusMTDecoder | ONNX | float | Qualcomm® QCS9075 | 4.267 ms | 12 - 27 MB | NPU |
| OpusMTDecoder | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.366 ms | 0 - 428 MB | NPU |
| OpusMTDecoder | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.215 ms | 1 - 378 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Snapdragon® X2 Elite | 2.006 ms | 6 - 6 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Snapdragon® X Elite | 3.067 ms | 6 - 6 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.479 ms | 0 - 189 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 6.812 ms | 2 - 167 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 3.09 ms | 2 - 4 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® SA8775P | 3.942 ms | 2 - 168 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® QCS9075 | 3.373 ms | 6 - 14 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 3.989 ms | 2 - 168 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® SA7255P | 6.812 ms | 2 - 167 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Qualcomm® SA8295P | 4.12 ms | 6 - 157 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.148 ms | 0 - 164 MB | NPU |
| OpusMTDecoder | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.891 ms | 0 - 171 MB | NPU |
| OpusMTDecoder | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.981 ms | 0 - 383 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 6.67 ms | 0 - 230 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 3.413 ms | 0 - 2 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® SA8775P | 4.22 ms | 0 - 230 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® QCS9075 | 4.217 ms | 0 - 186 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 4.727 ms | 0 - 355 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® SA7255P | 6.67 ms | 0 - 230 MB | NPU |
| OpusMTDecoder | TFLITE | float | Qualcomm® SA8295P | 4.903 ms | 0 - 212 MB | NPU |
| OpusMTDecoder | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.477 ms | 0 - 414 MB | NPU |
| OpusMTDecoder | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.144 ms | 0 - 374 MB | NPU |
| OpusMTEncoder | ONNX | float | Snapdragon® X2 Elite | 2.219 ms | 108 - 108 MB | NPU |
| OpusMTEncoder | ONNX | float | Snapdragon® X Elite | 5.011 ms | 108 - 108 MB | NPU |
| OpusMTEncoder | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.422 ms | 0 - 265 MB | NPU |
| OpusMTEncoder | ONNX | float | Qualcomm® QCS8550 (Proxy) | 4.735 ms | 0 - 115 MB | NPU |
| OpusMTEncoder | ONNX | float | Qualcomm® QCS9075 | 6.195 ms | 16 - 18 MB | NPU |
| OpusMTEncoder | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.769 ms | 0 - 293 MB | NPU |
| OpusMTEncoder | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.028 ms | 0 - 257 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Snapdragon® X2 Elite | 1.984 ms | 0 - 0 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Snapdragon® X Elite | 3.866 ms | 0 - 0 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.546 ms | 0 - 86 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 12.611 ms | 0 - 52 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 3.453 ms | 0 - 2 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® SA8775P | 4.535 ms | 0 - 53 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® QCS9075 | 4.676 ms | 0 - 5 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 4.716 ms | 0 - 86 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Qualcomm® SA7255P | 12.611 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 | 2.138 ms | 0 - 53 MB | NPU |
| OpusMTEncoder | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.614 ms | 0 - 58 MB | NPU |
| OpusMTEncoder | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.645 ms | 0 - 256 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 12.873 ms | 6 - 99 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 3.671 ms | 0 - 2 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® SA8775P | 19.476 ms | 6 - 100 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® QCS9075 | 5.143 ms | 4 - 119 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 5.08 ms | 6 - 258 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® SA7255P | 12.873 ms | 6 - 99 MB | NPU |
| OpusMTEncoder | TFLITE | float | Qualcomm® SA8295P | 5.681 ms | 6 - 95 MB | NPU |
| OpusMTEncoder | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.241 ms | 0 - 271 MB | NPU |
| OpusMTEncoder | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.762 ms | 0 - 243 MB | NPU |
License
- The license for the original implementation of OpusMT-Es-En 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.
