rubert-tiny
A very small Russian-English BERT that runs fast on a regular CPU. Ready-made fine-tuned versions exist for sentiment, toxicity and emotions.
The last open version came out in Oct 2021. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.
- Developer
- David Dale (cointegrated), Russia
- First release
- May 2021
- Latest release
- Oct 2021
- Sizes
- 12M – 29M
- License
- Commercial use allowedMIT
- Russian
- Supported
- Running
- On your own serverAlso runs without a GPU
- Industries
- Software development, Customer support, Documents and accounting
What it does
- Detecting review sentiment
- Filtering rude chat messages
- Fast classification of requests
Where it is used
Hardware requirements
Versions
- rubert-tiny2
- rubert-tiny
How to run it
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 rubert-tiny be used in a commercial project?
Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does rubert-tiny 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 rubert-tiny support Russian?
Yes, Russian is listed on the model card.
Where can I download rubert-tiny and what does it cost?
The rubert-tiny 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
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
Sber's Russian-language encoders trained on large Russian corpora. A base for classifiers, NER and semantic search in Russian.
DetailsText analysisRuModernBERT и USER (deepvk)deepvk (VK) · RussiaCommercial use allowedRussian encoders from the VK team: RuModernBERT reads long texts, USER produces vectors for search, GeRaCl classifies texts by topic without training.
DetailsSource: huggingface.co/cointegrated/rubert-tiny2. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


