Hugging Face's logo

qualcomm
/
OpusMT-Es-En

Text Generation
PyTorch
foundation
android
Model card Files
xet
 Community

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
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-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 PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite Gen 5 Mobile 2.172 ms 1 - 11 MB NPU
OpusMTDecoder PRECOMPILED_QNN_ONNX float Snapdragon® X2 Elite 1.816 ms 160 - 160 MB NPU
OpusMTDecoder PRECOMPILED_QNN_ONNX float Snapdragon® X Elite 3.087 ms 160 - 160 MB NPU
OpusMTDecoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Gen 3 Mobile 2.704 ms 0 - 7 MB NPU
OpusMTDecoder PRECOMPILED_QNN_ONNX float Qualcomm® QCS8550 (Proxy) 3.452 ms 12 - 14 MB NPU
OpusMTDecoder PRECOMPILED_QNN_ONNX float Qualcomm® QCS9075 3.969 ms 12 - 27 MB NPU
OpusMTDecoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite For Galaxy Mobile 2.3 ms 0 - 11 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Snapdragon® 8 Elite Gen 5 Mobile 2.171 ms 1 - 11 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Snapdragon® X2 Elite 2.248 ms 12 - 12 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Snapdragon® X Elite 3.103 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) 6.695 ms 12 - 20 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® QCS8550 (Proxy) 3.502 ms 12 - 15 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® SA8775P 4.241 ms 12 - 20 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® QCS9075 3.967 ms 12 - 26 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® QCS8450 (Proxy) 4.743 ms 12 - 22 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® SA7255P 6.695 ms 12 - 20 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Qualcomm® SA8295P 4.855 ms 10 - 16 MB NPU
OpusMTDecoder QNN_CONTEXT_BINARY float Snapdragon® 8 Elite For Galaxy Mobile 2.539 ms 0 - 13 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite Gen 5 Mobile 1.762 ms 0 - 10 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Snapdragon® X2 Elite 1.876 ms 107 - 107 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Snapdragon® X Elite 3.999 ms 107 - 107 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Gen 3 Mobile 2.674 ms 0 - 6 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Qualcomm® QCS8550 (Proxy) 3.778 ms 0 - 113 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Qualcomm® QCS9075 4.718 ms 16 - 18 MB NPU
OpusMTEncoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite For Galaxy Mobile 2.299 ms 0 - 7 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Snapdragon® 8 Elite Gen 5 Mobile 1.741 ms 0 - 10 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Snapdragon® X2 Elite 2.171 ms 0 - 0 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Snapdragon® X Elite 3.977 ms 0 - 0 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Snapdragon® 8 Gen 3 Mobile 2.659 ms 0 - 8 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® QCS8275 (Proxy) 12.71 ms 0 - 8 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® QCS8550 (Proxy) 3.647 ms 0 - 1 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® SA8775P 4.756 ms 0 - 9 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® QCS9075 4.546 ms 0 - 8 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® QCS8450 (Proxy) 5.041 ms 0 - 9 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® SA7255P 12.71 ms 0 - 8 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Qualcomm® SA8295P 5.486 ms 0 - 5 MB NPU
OpusMTEncoder QNN_CONTEXT_BINARY float Snapdragon® 8 Elite For Galaxy Mobile 2.239 ms 0 - 9 MB NPU

License

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

References

Community

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
Text Generation
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support