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mGPT

Name: mGPT
Author: Sber (ai-forever)

Sber's multilingual model covering 61 languages, including languages of the peoples of Russia and the CIS. Separate fine-tunes exist for Buryat, Yakut, Tatar, Bashkir, Kazakh and others, rare for open models.

The last open version came out in Aug 2023. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer: Sber (ai-forever), Russia
First release: Apr 2022
Latest release: Aug 2023
Sizes: 1.3B – 13B
License: Commercial use allowedApache 2.0 (mGPT 1.3B), MIT (mGPT 13B and language versions)
Russian: Supported
Ready-made builds: GGUF
Running: On your own serverAlso runs without a GPU
Industries: Science and research, Education

Deploy on your server Hugging Face GitHub

What it does

Texts in languages of the peoples of Russia and the CIS
Base for fine-tuning on a less common language
Drafts and templates in several languages

Where it is used

Regional media and administrationsEducation and cultureCompanies operating in the CIS

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

Aug 2023mGPT 1.3B для отдельных языков (бурятский, якутский и др.)
Jul 2023mGPT 13B
Apr 2022mGPT 1.3B

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. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can mGPT be used in a commercial project?

Yes. License: Apache 2.0 (mGPT 1.3B), MIT (mGPT 13B and language versions). It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does mGPT 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 mGPT support Russian?

Yes, Russian is listed on the model card.

Where can I download mGPT and what does it cost?

The mGPT 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.

Sber's 13-billion-parameter base Russian model; GigaChat grew out of its fine-tuned version. Continues texts in Russian and English, context only 2048 tokens; today useful as a base for narrow fine-tuning.

Details TextBLOOMBigScience (Hugging Face and the community) · FranceCommercial use with conditions

One of the first large open models, trained by a community of hundreds of researchers in 46 languages. Today it is interesting mostly as a historical milestone.

Details TextAyaCohere Labs · CanadaCommercial use with conditions

Multilingual models from Cohere's research arm, covering 23 to 100+ languages. Tiny Aya (2026, 3.3B) runs on a regular PC, but for non-commercial use only.

Details

Source: huggingface.co/ai-forever/mGPT-1.3B-buryat. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.