Translation

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

Foreign tradeMarketing and localizationCustomer support

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. TranslateGemma 4B, 12B, 27B

How to run it

With Ollama — the fastest wayInstall Ollama on your computer or server and find the model in its library by name. Good enough to try the model on your own tasks in one evening.Find it in the Ollama library
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 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

  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

Source: 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.