Text analysisSearch and RAG

RuModernBERT и USER (deepvk)

Russian encoders from the VK team: RuModernBERT reads long texts, USER produces vectors for search, GeRaCl classifies texts by topic without training.

Developer
deepvk (VK), Russia
First release
Feb 2023
Latest release
May 2025
Sizes
35M – 360M
License
Commercial use allowedApache 2.0
Russian
Supported
Running
On your own serverAlso runs without a GPU
Industries
Software development, Documents and accounting, Customer support
Deploy on your server Hugging Face

What it does

  • Classifying requests without labeled data
  • Knowledge base search in Russian
  • Analyzing long contracts

Where it is used

Customer supportDocument managementCompany knowledge bases

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. GeRaCl (классификатор без обучения)
  2. USER2 small и base
  3. RuModernBERT small и base
  4. USER-bge-m3
  5. USER-base
  6. deberta-v1 base

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 RuModernBERT и USER (deepvk) be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does RuModernBERT и USER (deepvk) 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 RuModernBERT и USER (deepvk) support Russian?

Yes, Russian is listed on the model card.

Where can I download RuModernBERT и USER (deepvk) and what does it cost?

The RuModernBERT и USER (deepvk) 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

Text 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 analysisModernBERTAnswer.AI and LightOn · USA / FranceCommercial use allowed

A modern replacement for classic BERT: faster, reads up to 8 thousand tokens at once. A base for your own classifiers. Trained on English and code; for Russian there is RuModernBERT.

DetailsSearch and RAGFRIDA / Giga-EmbeddingsSber (SberDevices) · RussiaCommercial use allowed

Sber embeddings built for Russian: according to the developers, among the best on Russian-language search benchmarks. FRIDA is compact, Giga-Embeddings is more powerful.

Details

Source: huggingface.co/deepvk/GeRaCl-USER2-base. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.