TranslationText

TuvanGemma

Russian to Tuvan translation that runs on your own machine: ready GGUF builds, a LoRA adapter and a standalone Windows app. The author warns that names, numbers and important text should be double-checked with a native speaker.

Developer
Mergen Kungaa, not disclosed
First release
Sep 2026
Latest release
Sep 2026
Sizes
4B and 12B
License
Commercial use with conditionsGemma Terms of Use — a Gemma-derived model, read the terms before use
Russian
Supported
Ready-made builds
GGUF
Running
On your own serverAlso runs without a GPU
Industries
Public sector, Education, Media and production, Documents and accounting
Deploy on your server Hugging Face

What it does

  • Translating documents and notices into Tuvan
  • Translating Tuvan texts into Russian
  • Draft translation without sending data outside
  • Preparing bilingual materials

Where it is used

Government and municipal bodiesEducation and cultureMedia 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
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. TuvanGemma 12B и приложение под Windows
  2. TuvanGemma 4B

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 TuvanGemma be used in a commercial project?

With conditions. License: Gemma Terms of Use — a Gemma-derived model, read the terms before use. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does TuvanGemma 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 TuvanGemma support Russian?

Yes, Russian is listed on the model card.

Where can I download TuvanGemma and what does it cost?

The TuvanGemma 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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Details

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