Translation models handle text, documents and correspondence without sending data to an external service. Businesses use them to localize websites and product listings and to work with international clients. Check that your language pairs are covered, how the model handles industry terms, and the license terms.
AI Laboratory of the North-Eastern Federal University · Russia
The most complete set of models for the Sakha (Yakut) language in one place: language models of several sizes, translation to and from Russian, embeddings and text recognition from images. Quality varies, so test it on your own data.
Russian to Tuvan translation that runs on your own machine: ready GGUF builds, a LoRA adapter and a standalone Windows app. The author warns that names, numbers and important text should be double-checked with a native speaker.
Business models: document search with source citations, tool calling, many languages. Command A+ (2026) was the first under Apache 2.0, followed by the North line: code, translation and compact vision.
Knowledge-base answers with source citations
Agents that work with internal systems
Translation and correspondence in different languages
SLONE (David Dale, Aigiz Kunafin and others) · not disclosed
A community that extends NLLB and mBART to low-resource languages. Its models cover Erzya, Tuvan, Bashkir, Tatar, Chuvash, Buryat, Mari, Khakas and Karachay-Balkar. Quality differs by language, so test it on your own texts.
Translating from Russian into a national language and back
Preparing bilingual materials and signage
Aligning parallel texts
Sizes
42M for the compact encoders, 620M – 758M for the translators
Tencent translators for 33 languages; the first version won the WMT25 competition. Russian is supported. The small 1.8B version runs on a laptop; the new Hy-MT2 is under Apache 2.0.
A compact ByteDance translator for 28 languages, close in quality to large closed systems. Russian is supported. Ready-made compressed versions are available.
Language models tailored for translation and multilingual text work: translating, editing, and assessing translation quality. Russian is supported. Non-commercial license.
Tweeties (Francois Remy, Ghent University, and co-authors) · Belgium
A language model for Tatar: Mistral 7B converted to a Tatar tokenizer, plus a version for translating between Tatar and a dozen other languages, including Russian. Check quality on your own texts.
Google's translator for more than 400 languages under a permissive license. Russian is supported. A good substitute for NLLB when commercial use is needed.
A translator for 200 languages, including rare and minor ones. Russian is supported. Strong language coverage, but the license prohibits commercial use.
Translating texts between 200 languages
Translating into rare languages where no other models exist
An early Meta translator that translates directly between 100 languages, without English in the middle. Russian is supported. Old, but light and permissively licensed.
