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OpusMT-En-Zh

OpusMT English to Chinese neural machine translation model based on MarianMT transformer architecture.

OpusMT English to Chinese translation model is a state‑of‑the‑art neural machine translation system designed for translating English text into Chinese. 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 Chinese translations with high accuracy.

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Technical Details

Attention heads:8
Hidden dimension:512
Input resolution:256 tokens (English text)
Max input sequence length:256 tokens
Max output sequence length:256 tokens
Model checkpoint:Helsinki-NLP/opus-mt-en-zh
Model size (decoder) (float):~280 MB
Model size (encoder) (float):~280 MB
Number of decoder layers:6
Number of encoder layers:6
Number of parameters (decoder):~74M
Number of parameters (encoder):~74M

Applicable Scenarios

  • Smart Home
  • Accessibility

License

Tags

  • foundation

Supported IoT Devices

  • Dragonwing IQ-8275 EVK
  • Dragonwing IQ-9075 EVK
  • Dragonwing IQ-X5121
  • Dragonwing IQ-X7181
  • Dragonwing Q-8750
  • QCS8550 (Proxy)

Supported IoT Chipsets

  • Qualcomm® Dragonwing™ IQ-X7181
  • Qualcomm® Dragonwing™ QCS8275
  • Qualcomm® Dragonwing™ QCS8550 (Proxy)
  • Qualcomm® Dragonwing™ Q-8750
  • Qualcomm® Dragonwing™ IQ-9075

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