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
QNN_CONTEXT_BINARY float qualcomm_qcs8450_proxy QAIRT 2.43 Download
QNN_CONTEXT_BINARY float qualcomm_qcs8550_proxy QAIRT 2.43 Download
QNN_CONTEXT_BINARY float qualcomm_qcs9075 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_sa8775p QAIRT 2.43 Download
QNN_CONTEXT_BINARY float qualcomm_snapdragon_8_elite_for_galaxy QAIRT 2.43 Download
QNN_CONTEXT_BINARY float qualcomm_snapdragon_8_elite_gen5 QAIRT 2.43 Download
QNN_CONTEXT_BINARY float qualcomm_snapdragon_8gen3 QAIRT 2.43 Download
QNN_CONTEXT_BINARY float qualcomm_snapdragon_x2_elite QAIRT 2.43 Download
QNN_CONTEXT_BINARY float qualcomm_snapdragon_x_elite 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 (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 PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite Gen 5 Mobile 2.187 ms 1 - 11 MB NPU
decoder PRECOMPILED_QNN_ONNX float Snapdragon® X2 Elite 1.819 ms 160 - 160 MB NPU
decoder PRECOMPILED_QNN_ONNX float Snapdragon® X Elite 3.077 ms 160 - 160 MB NPU
decoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Gen 3 Mobile 2.717 ms 0 - 12 MB NPU
decoder PRECOMPILED_QNN_ONNX float Qualcomm® QCS8550 (Proxy) 3.429 ms 12 - 14 MB NPU
decoder PRECOMPILED_QNN_ONNX float Qualcomm® QCS9075 3.955 ms 12 - 27 MB NPU
decoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite For Galaxy Mobile 2.351 ms 0 - 7 MB NPU
decoder QNN_CONTEXT_BINARY float Snapdragon® 8 Elite Gen 5 Mobile 2.179 ms 1 - 11 MB NPU
decoder QNN_CONTEXT_BINARY float Snapdragon® X2 Elite 2.196 ms 12 - 12 MB NPU
decoder QNN_CONTEXT_BINARY float Snapdragon® X Elite 3.097 ms 12 - 12 MB NPU
decoder QNN_CONTEXT_BINARY float Snapdragon® 8 Gen 3 Mobile 2.81 ms 0 - 8 MB NPU
decoder QNN_CONTEXT_BINARY float Qualcomm® QCS8275 (Proxy) 6.659 ms 12 - 20 MB NPU
decoder QNN_CONTEXT_BINARY float Qualcomm® QCS8550 (Proxy) 3.416 ms 12 - 14 MB NPU
decoder QNN_CONTEXT_BINARY float Qualcomm® SA8775P 4.217 ms 12 - 20 MB NPU
decoder QNN_CONTEXT_BINARY float Qualcomm® QCS9075 3.945 ms 12 - 26 MB NPU
decoder QNN_CONTEXT_BINARY float Qualcomm® QCS8450 (Proxy) 4.693 ms 12 - 22 MB NPU
decoder QNN_CONTEXT_BINARY float Qualcomm® SA7255P 6.659 ms 12 - 20 MB NPU
decoder QNN_CONTEXT_BINARY float Qualcomm® SA8295P 4.951 ms 11 - 16 MB NPU
decoder QNN_CONTEXT_BINARY float Snapdragon® 8 Elite For Galaxy Mobile 2.44 ms 0 - 8 MB NPU
encoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite Gen 5 Mobile 1.768 ms 0 - 10 MB NPU
encoder PRECOMPILED_QNN_ONNX float Snapdragon® X2 Elite 1.869 ms 107 - 107 MB NPU
encoder PRECOMPILED_QNN_ONNX float Snapdragon® X Elite 4.015 ms 107 - 107 MB NPU
encoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Gen 3 Mobile 2.679 ms 0 - 7 MB NPU
encoder PRECOMPILED_QNN_ONNX float Qualcomm® QCS8550 (Proxy) 3.782 ms 0 - 113 MB NPU
encoder PRECOMPILED_QNN_ONNX float Qualcomm® QCS9075 4.692 ms 15 - 18 MB NPU
encoder PRECOMPILED_QNN_ONNX float Snapdragon® 8 Elite For Galaxy Mobile 2.301 ms 0 - 8 MB NPU
encoder QNN_CONTEXT_BINARY float Snapdragon® 8 Elite Gen 5 Mobile 1.739 ms 0 - 10 MB NPU
encoder QNN_CONTEXT_BINARY float Snapdragon® X2 Elite 2.111 ms 0 - 0 MB NPU
encoder QNN_CONTEXT_BINARY float Snapdragon® X Elite 3.971 ms 0 - 0 MB NPU
encoder QNN_CONTEXT_BINARY float Snapdragon® 8 Gen 3 Mobile 2.65 ms 0 - 7 MB NPU
encoder QNN_CONTEXT_BINARY float Qualcomm® QCS8275 (Proxy) 12.698 ms 0 - 9 MB NPU
encoder QNN_CONTEXT_BINARY float Qualcomm® QCS8550 (Proxy) 3.786 ms 0 - 1 MB NPU
encoder QNN_CONTEXT_BINARY float Qualcomm® SA8775P 4.706 ms 0 - 9 MB NPU
encoder QNN_CONTEXT_BINARY float Qualcomm® QCS9075 4.573 ms 0 - 8 MB NPU
encoder QNN_CONTEXT_BINARY float Qualcomm® QCS8450 (Proxy) 5.061 ms 0 - 9 MB NPU
encoder QNN_CONTEXT_BINARY float Qualcomm® SA7255P 12.698 ms 0 - 9 MB NPU
encoder QNN_CONTEXT_BINARY float Qualcomm® SA8295P 5.527 ms 0 - 5 MB NPU
encoder QNN_CONTEXT_BINARY float Snapdragon® 8 Elite For Galaxy Mobile 2.237 ms 0 - 13 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