Project Title

OpenNMT-py — Open Source Neural Machine Translation and Large Language Models in PyTorch

Overview

OpenNMT-py is an open-source neural machine translation (NMT) framework based on PyTorch, designed for research and production use. It supports a wide range of NLP tasks, including translation, language modeling, and summarization. The project is no longer actively supported, with the team transitioning to a new project called Eole, which offers improved features and performance.

Key Features

Supports a variety of NLP tasks, including NMT, language modeling, and summarization
Built on PyTorch, a popular deep learning framework
Research-friendly, allowing for easy experimentation with new ideas
Production-ready code, used by some companies
Supports large language models (LLMs) with converters for various models
Offers 8bit and 4bit quantization, LoRA adapters, and checkpointing options
Tensor parallelism for models that don't fit on a single GPU's memory
Inference can be performed with OpenNMT-py or CTranslate2 for faster results
MMLU evaluation script for model performance assessment

Use Cases

Researchers and developers working on NMT and other NLP tasks
Companies looking for a production-ready NMT solution
Educators and students learning about neural machine translation and related technologies
Individuals interested in experimenting with large language models and advanced NLP techniques

Advantages

Open-source and MIT-licensed, allowing for flexible use and modification
Active community and contributions welcome, fostering innovation
Supports a wide range of NLP tasks, making it versatile for different applications
Built on PyTorch, which is widely used and well-supported in the machine learning community

Limitations / Considerations

The project is no longer actively supported, with development shifting to Eole
Users may need to migrate to Eole for continued support and updates
Some features may require a deep understanding of PyTorch and NLP concepts

Eole: The successor to OpenNMT-py, offering improved features and performance.
Hugging Face Transformers: A library of pre-trained models for NLP, including translation and summarization tasks.
MarianNMT: An efficient, free Neural Machine Translation framework.

Basic Information

GitHub: https://github.com/OpenNMT/OpenNMT-py
Stars: 6,968
License: Unknown
Last Commit: 2025-11-17

📊 Project Information

Project Name: OpenNMT-py
GitHub URL: https://github.com/OpenNMT/OpenNMT-py
Programming Language: Python
⭐ Stars: 6,968
🍴 Forks: 2,259
📅 Created: 2017-02-22
🔄 Last Updated: 2025-11-17

🏷️ Project Topics

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📚 Documentation

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OpenNMT-py

Project Description