TranslateGemma
Translators based on Gemma 3 for 55 languages that can also translate text in images. Russian is supported. The 4B version fits on a laptop.
- Developer
- Google, USA
- First release
- Jan 2026
- Latest release
- Jan 2026
- Sizes
- 4B – 27B
- License
- Commercial use with conditionsGemma Terms of Use: commercial use allowed with restrictions on types of use
- Russian
- Supported
- Ready-made builds
- GGUF, MLX (Apple)
- Running
- Available in OllamaAlso runs without a GPU
- Industries
- Documents and accounting, Customer support, Retail and marketplaces
What it does
- Translating documents and correspondence
- Translating text from screenshots and photos
- Localizing websites and apps
Where it is used
Hardware requirements
Versions
- TranslateGemma 4B, 12B, 27B
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. 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 TranslateGemma be used in a commercial project?
With conditions. License: Gemma Terms of Use: commercial use allowed with restrictions on types of use. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.
What hardware does TranslateGemma 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 TranslateGemma support Russian?
Yes, Russian is listed on the model card.
Where can I download TranslateGemma and what does it cost?
The TranslateGemma 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
Tencent translators for 33 languages; the first version won the WMT25 competition. Russian is supported. The small 1.8B version runs on a laptop; the new Hy-MT2 is under Apache 2.0.
DetailsTranslationMADLAD-400Google · USACommercial use allowedGoogle's translator for more than 400 languages under a permissive license. Russian is supported. A good substitute for NLLB when commercial use is needed.
DetailsTextGemmaGoogle · USACommercial use allowedCompact Google models that run well on a single computer; larger versions understand images. Includes CodeGemma for code, FunctionGemma 270M for function calling and the fast DiffusionGemma.
DetailsSource: blog.google/innovation-and-ai/technology/developers-tools/translategem. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


