TextTranslation

Tweety Tatar

A language model for Tatar: Mistral 7B converted to a Tatar tokenizer, plus a version for translating between Tatar and a dozen other languages, including Russian. Check quality on your own texts.

The last open version came out in Apr 2024. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer
Tweeties (Francois Remy, Ghent University, and co-authors), Belgium
First release
Apr 2024
Latest release
Apr 2024
Sizes
7B
License
Commercial use with conditionsApache 2.0 for the base model; CC-BY-NC 4.0 for the TowerInstruct-based translation models
Russian
Supported
Ready-made builds
GGUF
Running
On your own serverNeeds a GPU
Industries
Education, Media and production, Science and research, Public sector
Deploy on your server Hugging Face

What it does

  • Generating and continuing Tatar text
  • Translating between Tatar and Russian
  • A base for fine-tuning to your own task
  • Experiments with Tatar in chat scenarios

Where it is used

Education and cultureMedia and publishingResearch and language projects

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. Tweety Tatar Hydra MT 7B, перевод
  2. Tweety Tatar Hydra Base 7B
  3. Tweety Tatar Base 7B

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 Tweety Tatar be used in a commercial project?

With conditions. License: Apache 2.0 for the base model; CC-BY-NC 4.0 for the TowerInstruct-based translation models. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does Tweety Tatar need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Tweety Tatar support Russian?

Yes, Russian is listed on the model card.

Where can I download Tweety Tatar and what does it cost?

The Tweety Tatar 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/Tweeties/tweety-7b-tatar-v24a. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.