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Opennmt Py

OpenNMT-py is an open-source Python and PyTorch framework for developing neural machine translation and language-model systems, with research use cases that also include summarization and other natural-language processing tasks.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Opennmt Py — OpenViST project profile in AI Models.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you need a Python/PyTorch toolkit to develop or research translation and language-model workflows, and can work within its documented dependencies and project status.

Who it is for

  • Developers building or adapting neural machine translation systems.
  • Researchers prototyping translation, language-model or summarization workflows in PyTorch.

Documented uses

  • Develop and experiment with neural machine translation models.
  • Prototype language-model workflows, including documented fine-tuning and quantization features.
  • Explore summarization and other NLP tasks using a PyTorch framework.
Before you choose

Requirements & limits

The repository identifies the project as open source under the MIT license. Local installation instructions specify Python 3.8 or later and PyTorch 2.0 to below 2.2.

  • The repository states that OpenNMT-py is no longer actively supported and recommends Eole to developers.
  • Some advanced features need optional dependencies; GPU/CUDA use in the Docker example requires the NVIDIA Container Toolkit.
  • The README lists converters for several model families, LoRA adapters, 4- and 8-bit quantization, and tensor parallelism for large models.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install OpenNMT-py locally

Install the library from its Python package on a machine meeting the listed requirements.

Before you start

  • Python 3.8 or later
  • PyTorch 2.0 or later, but below 2.2

Steps

  1. Install the listed Python and PyTorch prerequisites.

  2. Run the command below.

    Documented command
    pip install OpenNMT-py

Expected outcome

The OpenNMT-py package is installed in the Python environment.

Guide limitations

  • Some advanced features, including pretrained models or specific transforms, require additional packages from requirements.opt.txt.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
OpenNMT/OpenNMT-py · Official homepage title · retained in its source language
How we review sourcesSuggest a correction

Related options

Eole — The repository identifies it as a newer, revamped spin-off of OpenNMT-py and recommends that developers switch to it.