TranslationSearch and RAGText analysis

SLONE: перевод для языков народов России

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.

Developer
SLONE (David Dale, Aigiz Kunafin and others), not disclosed
First release
Sep 2022
Latest release
Jul 2026
Sizes
42M for the compact encoders, 620M – 758M for the translators
License
Commercial use with conditionsvaries by model: CC-BY-NC 4.0 for some translators, CC-BY-SA 4.0 and Apache 2.0 for the rest
Russian
Supported
Ready-made builds
8-bit
Running
On your own serverAlso runs without a GPU
Industries
Public sector, Education, Media and production, Documents and accounting
Deploy on your server Hugging Face

What it does

  • Translating from Russian into a national language and back
  • Preparing bilingual materials and signage
  • Aligning parallel texts
  • A base for your own translator for a single language

Where it is used

Government and municipal bodiesEducation and cultureMedia and publishing

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. NLLB с эрзянским, выпуск 2024 года
  2. NLLB-210, двенадцать языков в одной модели
  3. NLLB для пары русский — тувинский
  4. LaBSE для эрзянского, версия 2
  5. mBART-51 для эрзянского

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can SLONE: перевод для языков народов России be used in a commercial project?

With conditions. License: varies by model: CC-BY-NC 4.0 for some translators, CC-BY-SA 4.0 and Apache 2.0 for the rest. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does SLONE: перевод для языков народов России need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does SLONE: перевод для языков народов России support Russian?

Yes, Russian is listed on the model card.

Where can I download SLONE: перевод для языков народов России and what does it cost?

The SLONE: перевод для языков народов России weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Similar models

TranslationNLLB-200Meta · USANon-commercial only

A translator for 200 languages, including rare and minor ones. Russian is supported. Strong language coverage, but the license prohibits commercial use.

DetailsTranslationMADLAD-400Google · USACommercial use allowed

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.

DetailsSpeech to textMMS (Massively Multilingual Speech)Meta AI · USANon-commercial only

Meta speech models covering more than a thousand languages. The supported list includes Bashkir, Tatar, Chuvash, Sakha, Ossetian, Chechen, Avar, Udmurt, Mari, Erzya, Moksha, Kalmyk and Karelian. Quality varies a lot by language, so test it on your own recordings.

Details

Source: huggingface.co/slone/nllb-210-v1. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.