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OpusMT-En-Es

Text Generation
PyTorch
foundation
android
Model card Files
xet
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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
VOICE_AI float Snapdragon® 8 Elite Gen 5 Mobile QAIRT 2.45 Download
VOICE_AI float Snapdragon® X2 Elite QAIRT 2.45 Download
VOICE_AI float Snapdragon® X Elite QAIRT 2.45 Download
VOICE_AI float Snapdragon® 8 Gen 3 Mobile QAIRT 2.45 Download
VOICE_AI float Qualcomm® QCS8550 (Proxy) QAIRT 2.45 Download
VOICE_AI float Qualcomm® SA8775P QAIRT 2.45 Download
VOICE_AI float Snapdragon® 8 Elite For Galaxy Mobile QAIRT 2.45 Download
VOICE_AI float Qualcomm® SA7255P QAIRT 2.45 Download
VOICE_AI float Qualcomm® SA8295P QAIRT 2.45 Download
VOICE_AI float Qualcomm® QCS9075 QAIRT 2.45 Download
VOICE_AI float Qualcomm® QCS8450 (Proxy) QAIRT 2.45 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 (encoder): ~74M
  • Model size (encoder) (float): ~280 MB
  • Number of parameters (decoder): ~74M
  • Model size (decoder) (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
decoder VOICE_AI float Snapdragon® 8 Elite Gen 5 Mobile 2.161 ms 1 - 11 MB NPU
decoder VOICE_AI float Snapdragon® 8 Elite Mobile 2.485 ms 0 - 14 MB NPU
decoder VOICE_AI float Snapdragon® X2 Elite 2.242 ms 12 - 12 MB NPU
decoder VOICE_AI float Snapdragon® X Elite 3.139 ms 12 - 12 MB NPU
decoder VOICE_AI float Snapdragon® X Elite 3.139 ms 12 - 12 MB NPU
decoder VOICE_AI float Snapdragon® 8 Gen 3 Mobile 2.754 ms 0 - 8 MB NPU
decoder VOICE_AI float Qualcomm® QCS8275 (Proxy) 6.625 ms 12 - 19 MB NPU
decoder VOICE_AI float Qualcomm® QCS8550 (Proxy) 3.46 ms 12 - 14 MB NPU
decoder VOICE_AI float Qualcomm® SA8775P 4.24 ms 12 - 20 MB NPU
decoder VOICE_AI float Qualcomm® SA8775P 4.24 ms 12 - 20 MB NPU
decoder VOICE_AI float Qualcomm® SA8775P 4.24 ms 12 - 20 MB NPU
decoder VOICE_AI float Qualcomm® QCS9075 3.956 ms 12 - 26 MB NPU
decoder VOICE_AI float Qualcomm® QCS8450 (Proxy) 4.52 ms 12 - 21 MB NPU
decoder VOICE_AI float Qualcomm® SA7255P 6.625 ms 12 - 19 MB NPU
decoder VOICE_AI float Qualcomm® SA8295P 4.483 ms 12 - 17 MB NPU
decoder VOICE_AI float Snapdragon® 8 Elite For Galaxy Mobile 2.485 ms 0 - 14 MB NPU
encoder VOICE_AI float Snapdragon® 8 Elite Gen 5 Mobile 1.754 ms 0 - 10 MB NPU
encoder VOICE_AI float Snapdragon® 8 Elite Mobile 2.232 ms 0 - 9 MB NPU
encoder VOICE_AI float Snapdragon® X2 Elite 2.089 ms 0 - 0 MB NPU
encoder VOICE_AI float Snapdragon® X Elite 3.992 ms 0 - 0 MB NPU
encoder VOICE_AI float Snapdragon® X Elite 3.992 ms 0 - 0 MB NPU
encoder VOICE_AI float Snapdragon® 8 Gen 3 Mobile 2.646 ms 0 - 7 MB NPU
encoder VOICE_AI float Qualcomm® QCS8275 (Proxy) 12.621 ms 0 - 8 MB NPU
encoder VOICE_AI float Qualcomm® QCS8550 (Proxy) 3.603 ms 0 - 1 MB NPU
encoder VOICE_AI float Qualcomm® SA8775P 4.776 ms 0 - 9 MB NPU
encoder VOICE_AI float Qualcomm® SA8775P 4.776 ms 0 - 9 MB NPU
encoder VOICE_AI float Qualcomm® SA8775P 4.776 ms 0 - 9 MB NPU
encoder VOICE_AI float Qualcomm® QCS9075 4.572 ms 0 - 8 MB NPU
encoder VOICE_AI float Qualcomm® QCS8450 (Proxy) 5.026 ms 0 - 9 MB NPU
encoder VOICE_AI float Qualcomm® SA7255P 12.621 ms 0 - 8 MB NPU
encoder VOICE_AI float Qualcomm® SA8295P 5.381 ms 0 - 5 MB NPU
encoder VOICE_AI float Snapdragon® 8 Elite For Galaxy Mobile 2.232 ms 0 - 9 MB NPU

License

  • The license for the original implementation of OpusMT-En-Es can be found here.

References

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