# OpenNMT

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Repository: https://github.com/OpenNMT/OpenNMT-py
Canonical: https://ross.abutalabs.com/products/opennmt
Homepage: https://opennmt.net/
Language: Python
License: MIT
License Family: permissive
Topics: deep-learning, pytorch, machine-translation, neural-machine-translation, language-model, llms
Last push: 2025-10-14T17:32:07+00:00
Link (homepage): https://opennmt.net/
Link (site_page): https://opennmt.net/features
Link (site_page): https://opennmt.net/FAQ
Link (site_page): https://opennmt.net/OpenNMT-py
Link (site_page): https://opennmt.net/OpenNMT-tf

## Health v2 (maintenance only)
Score: 44/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 47, release rhythm 8, longevity 100
- inputs: {"age_days": 3479, "days_push": 323, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7012, forks 2497 (observed 2026-08-28T04:09:53.295877+00:00)

## What it is
OpenNMT is an open-source ecosystem for neural machine translation and sequence learning, with PyTorch (OpenNMT-py) and TensorFlow (OpenNMT-tf) implementations. It supports training and serving Transformer and other seq2seq models, plus LLM finetuning with quantization and LoRA, and is complemented by CTranslate2 for fast inference.

## Use cases
- train a custom neural machine translation model
- translate text between languages with a transformer model
- finetune a 7B LLM on a single GPU with 4-bit quantization and LoRA
- build a summarization model from my own data
- serve a translation model behind an API
- train a language model on a custom corpus
- run efficient transformer inference on CPU with CTranslate2
- do seq2seq research with configurable architectures

## When to choose
- you need a production-proven, highly configurable NMT training framework
- you want both PyTorch and TensorFlow options for sequence-to-sequence tasks
- you need multi-GPU/multi-node training, beam search, ensembling, and model serving
- you want to finetune or run large language models with quantization

## When to avoid
- you want actively developed successors - OpenNMT-py is no longer actively supported in favor of Eole
- you need general-purpose LLM tooling beyond translation/seq2seq where Hugging Face Transformers is a better fit
- you only need inference without training - CTranslate2 alone may suffice

## Facets
- artifact type: framework
- maturity: maintenance
- function: machine-learning, deep-learning, llm-training, llm-inference, nlp
- domain: machine-learning, deep-learning, large-language-models
- platform: python
- tags: neural-machine-translation, pytorch, tensorflow, seq2seq, transformer, lora, quantization, ctranslate2, summarization, language-modeling, natural-language-processing, linux, macos, gpu, docker

## Member repositories
- OpenNMT/OpenNMT-py (main) score 44
- OpenNMT/OpenNMT (mirror) score 10
- OpenNMT/OpenNMT-tf (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:53.295877+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:40:42.334388+00:00, confidence not recorded.
  - readme: https://github.com/OpenNMT/OpenNMT-py (fetched 2026-08-28T04:09:53.295877+00:00, sha 3cd2f12123e6)
  - homepage: https://opennmt.net/ (fetched 2026-08-29T08:36:48.506453+00:00, sha 6b7bdc18d456)
  - site_page: https://opennmt.net/features (fetched 2026-08-29T08:36:48.515100+00:00, sha 8d357a23c9a1)
  - registry_pypi: https://pypi.org/pypi/opennmt-py/json (fetched 2026-08-29T08:36:48.523845+00:00, sha a3a7fc161a1a)
  - registry_pypi: https://pypi.org/pypi/opennmt-tf/json (fetched 2026-08-29T08:36:48.525382+00:00, sha e302b16042bd)
  - site_page: https://opennmt.net/FAQ (fetched 2026-08-29T08:36:48.516897+00:00, sha aedd69eb321a)
  - site_page: https://opennmt.net/OpenNMT-py (fetched 2026-08-29T08:36:48.518779+00:00, sha a75a2445e82b)
  - site_page: https://opennmt.net/OpenNMT-tf (fetched 2026-08-29T08:36:48.520709+00:00, sha fff14ddab972)
  - site_page: https://opennmt.net/CTranslate2 (fetched 2026-08-29T08:36:48.522310+00:00, sha bf8fb38c69d4)
- Data as of 2026-08-30T08:39:29.467469+00:00.