Text analysisText

Tatar NLP Community

A recent set of models for Tatar: morphological analysis on several base models, question answering about Tatar and Russian place names, and Mistral and GPT-2 fine-tunes for Tatar.

Developer
Tatar NLP Community, not disclosed
First release
Feb 2026
Latest release
Mar 2026
Sizes
178M for the morphology models, 7B for the Mistral fine-tune
License
Commercial use with conditionsApache 2.0 for most models; CC-BY-SA 4.0 for the place-name question answering models
Russian
Supported
Running
On your own serverAlso runs without a GPU
Industries
Education, Science and research, Documents and accounting, Media and production
Deploy on your server Hugging Face

What it does

  • Morphological analysis of Tatar texts
  • Answering questions about place names
  • Generating text in Tatar
  • A base for dictionaries and learning services

Where it is used

Education and cultureResearch and language projectsGovernment and municipal bodies

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. Разметчики морфологии на нескольких базах
  2. Модели вопросов и ответов по топонимам
  3. Дообучения Mistral 7B и GPT-2 под татарский

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.

Frequently asked questions

Can Tatar NLP Community be used in a commercial project?

With conditions. License: Apache 2.0 for most models; CC-BY-SA 4.0 for the place-name question answering models. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does Tatar NLP Community 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 Tatar NLP Community support Russian?

Yes, Russian is listed on the model card.

Where can I download Tatar NLP Community and what does it cost?

The Tatar NLP Community 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

TextTweety TatarTweeties (Francois Remy, Ghent University, and co-authors) · BelgiumCommercial use with conditions

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.

DetailsText analysisruBERT, ruRoBERTa, ruELECTRA (ai-forever)SberDevices (ai-forever) · RussiaCommercial use allowed

Sber's Russian-language encoders trained on large Russian corpora. A base for classifiers, NER and semantic search in Russian.

DetailsText analysisXLM-RoBERTaMeta · USACommercial use allowed

A classic multilingual encoder for 100 languages, including Russian. The base of many sentiment, NER and embedding models, including BGE-M3.

Details

Source: huggingface.co/TatarNLPWorld/rubert-tatar-morph. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.