CodeText

Kodify-Nano (МТС AI)

A small coding assistant from MTS AI that understands requests in Russian. Runs locally, with plugins for VS Code and JetBrains.

Developer
MTS AI (MWS AI), Russia
First release
May 2025
Latest release
May 2025
Sizes
1.5B
License
Commercial use allowedApache 2.0 (MTS AI license text in the repository)
Russian
Supported
Running
On your own serverAlso runs without a GPU
Industries
Software development

What it does

  • Code suggestions and completion in the editor
  • Code explanations in Russian
  • Drafts of tests and documentation

Where it is used

Development teamsIT departments with a closed environment

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
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. Kodify-Nano GPTQ и GGUF
  2. Kodify-Nano

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.

Frequently asked questions

Can Kodify-Nano (МТС AI) be used in a commercial project?

Yes. License: Apache 2.0 (MTS AI license text in the repository). It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does Kodify-Nano (МТС AI) 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 Kodify-Nano (МТС AI) support Russian?

Yes, Russian is listed on the model card.

Where can I download Kodify-Nano (МТС AI) and what does it cost?

The Kodify-Nano (МТС AI) 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: huggingface.co/MTSAIR/Kodify-Nano. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.