Text analysisSearch and RAG

Zerpal: модели для удмуртского языка

A project around the Udmurt language: encoders based on mBERT, rubert-tiny2 and Glot500, part-of-speech taggers, a typo correction model and Udmurt-English embeddings.

The last open version came out in Jun 2024. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer
udmurtNLP, not disclosed
First release
Mar 2024
Latest release
Jun 2024
Sizes
33M – 187M
License
Commercial use with conditionsno license is stated on the model cards — check with the developer
Russian
Supported
Running
On your own serverAlso runs without a GPU
Industries
Education, Documents and accounting, Science and research, Media and production
Deploy on your server Hugging Face

What it does

  • Parsing Udmurt texts by part of speech
  • Correcting typos and recognition errors
  • Semantic search over Udmurt material
  • A base for classifiers in Udmurt

Where it is used

Education and cultureResearch and language projectsMedia 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
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. Разметчики частей речи и модель исправления опечаток
  2. Zerpal на rubert-tiny2 и Glot500
  3. Zerpal-mBERT и эмбеддинги удмуртского с английским

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 Zerpal: модели для удмуртского языка be used in a commercial project?

With conditions. License: no license is stated on the model cards — check with the developer. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does Zerpal: модели для удмуртского языка 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 Zerpal: модели для удмуртского языка support Russian?

Yes, Russian is listed on the model card.

Where can I download Zerpal: модели для удмуртского языка and what does it cost?

The Zerpal: модели для удмуртского языка 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.

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DetailsText analysismmBERTJohns Hopkins University (JHU CLSP) · USACommercial use allowed

A multilingual encoder trained on more than 1800 languages. The list includes Tatar, Bashkir, Chuvash, Udmurt, Buryat, Komi, Ingush and other languages of Russia. A base for classifiers and search over such texts.

DetailsSearch and RAGLaBSE для языков народов России (lingtrain)lingtrain · not disclosedCommercial use with conditions

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Details

Source: huggingface.co/udmurtNLP/zerpal-mbert. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.