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OpusMT-En-Es

Text Generation
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android
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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
PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite Gen 5 Mobile QAIRT 2.42, ONNX Runtime 1.24.1 Download
PRECOMPILED_QNN_ONNX float Snapdragon® X2 Elite QAIRT 2.42, ONNX Runtime 1.24.1 Download
PRECOMPILED_QNN_ONNX float Snapdragon® X Elite QAIRT 2.42, ONNX Runtime 1.24.1 Download
PRECOMPILED_QNN_ONNX float Snapdragon® 8 Gen 3 Mobile QAIRT 2.42, ONNX Runtime 1.24.1 Download
PRECOMPILED_QNN_ONNX float Qualcomm® QCS8550 (Proxy) QAIRT 2.42, ONNX Runtime 1.24.1 Download
PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite For Galaxy Mobile QAIRT 2.42, ONNX Runtime 1.24.1 Download
PRECOMPILED_QNN_ONNX float Qualcomm® QCS9075 QAIRT 2.42, ONNX Runtime 1.24.1 Download
QNN_CONTEXT_BINARY float Snapdragon® 8 Elite Gen 5 Mobile QAIRT 2.43 Download
QNN_CONTEXT_BINARY float Snapdragon® X2 Elite QAIRT 2.43 Download
QNN_CONTEXT_BINARY float Snapdragon® X Elite QAIRT 2.43 Download
QNN_CONTEXT_BINARY float Snapdragon® 8 Gen 3 Mobile QAIRT 2.43 Download
QNN_CONTEXT_BINARY float Qualcomm® QCS8550 (Proxy) QAIRT 2.43 Download
QNN_CONTEXT_BINARY float Qualcomm® SA8775P QAIRT 2.43 Download
QNN_CONTEXT_BINARY float Snapdragon® 8 Elite For Galaxy Mobile QAIRT 2.43 Download
QNN_CONTEXT_BINARY float Qualcomm® SA7255P QAIRT 2.43 Download
QNN_CONTEXT_BINARY float Qualcomm® SA8295P QAIRT 2.43 Download
QNN_CONTEXT_BINARY float Qualcomm® QCS9075 QAIRT 2.43 Download
QNN_CONTEXT_BINARY float Qualcomm® QCS8450 (Proxy) QAIRT 2.43 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 PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite Gen 5 Mobile 2.177 ms 0 - 11 MB NPU
OpusMTDecoder PRECOMPILED_QNN_ONNX float Snapdragon® X2 Elite 1.842 ms 160 - 160 MB NPU
OpusMTDecoder PRECOMPILED_QNN_ONNX float Snapdragon® X Elite 3.046 ms 160 - 160 MB NPU
OpusMTDecoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Gen 3 Mobile 2.717 ms 13 - 24 MB NPU
OpusMTDecoder PRECOMPILED_QNN_ONNX float Qualcomm® QCS8550 (Proxy) 3.472 ms 12 - 14 MB NPU
OpusMTDecoder PRECOMPILED_QNN_ONNX float Qualcomm® QCS9075 3.971 ms 12 - 27 MB NPU
OpusMTDecoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite For Galaxy Mobile 2.412 ms 0 - 12 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Snapdragon® 8 Elite Gen 5 Mobile 2.18 ms 1 - 11 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Snapdragon® X2 Elite 2.172 ms 12 - 12 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Snapdragon® X Elite 3.136 ms 12 - 12 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Snapdragon® 8 Gen 3 Mobile 2.797 ms 12 - 20 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® QCS8275 (Proxy) 6.688 ms 12 - 19 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® QCS8550 (Proxy) 3.437 ms 12 - 13 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® SA8775P 4.232 ms 12 - 20 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® QCS9075 3.958 ms 12 - 26 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® QCS8450 (Proxy) 4.711 ms 12 - 22 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® SA7255P 6.688 ms 12 - 19 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® SA8295P 4.857 ms 10 - 16 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Snapdragon® 8 Elite For Galaxy Mobile 2.572 ms 0 - 13 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite Gen 5 Mobile 1.768 ms 0 - 10 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Snapdragon® X2 Elite 1.861 ms 107 - 107 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Snapdragon® X Elite 4.017 ms 107 - 107 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Gen 3 Mobile 2.66 ms 0 - 6 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Qualcomm® QCS8550 (Proxy) 3.753 ms 0 - 113 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Qualcomm® QCS9075 4.712 ms 16 - 18 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite For Galaxy Mobile 2.294 ms 0 - 7 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Snapdragon® 8 Elite Gen 5 Mobile 1.742 ms 0 - 9 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Snapdragon® X2 Elite 2.129 ms 0 - 0 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Snapdragon® X Elite 3.969 ms 0 - 0 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Snapdragon® 8 Gen 3 Mobile 2.652 ms 0 - 8 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® QCS8275 (Proxy) 12.739 ms 0 - 9 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® QCS8550 (Proxy) 3.661 ms 0 - 1 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® SA8775P 4.719 ms 0 - 9 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® QCS9075 4.583 ms 0 - 8 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® QCS8450 (Proxy) 5.063 ms 0 - 9 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® SA7255P 12.739 ms 0 - 9 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® SA8295P 5.456 ms 0 - 5 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Snapdragon® 8 Elite For Galaxy Mobile 2.238 ms 2 - 11 MB NPU

License

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

References

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