Text analysis

XLM-RoBERTa

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

The last open version came out in Jan 2022. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer
Meta, USA
First release
Nov 2019
Latest release
Jan 2022
Sizes
270M – 10.7B
License
Commercial use allowedMIT
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 GitHub

What it does

  • Detecting review sentiment in different languages
  • Extracting names and organizations after fine-tuning
  • Classifying requests

Where it is used

Customer supportMarketingReview analytics

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. XLM-RoBERTa XL и XXL на Hugging Face
  2. XLM-RoBERTa base и large

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 XLM-RoBERTa 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 XLM-RoBERTa 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 XLM-RoBERTa support Russian?

Yes, Russian is listed on the model card.

Where can I download XLM-RoBERTa and what does it cost?

The XLM-RoBERTa 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

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A time-tested encoder behind many classifiers and NER models (including GLiNER). The multilingual mDeBERTa-v3 understands Russian.

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.

DetailsSearch and RAGBGE-M3BAAI · ChinaCommercial use allowed

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Details

Source: huggingface.co/facebook/xlm-roberta-xl. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.