Text

Zarya (ai-forever)

A Russian and English research prototype: the model writes text in blocks at once (diffusion) rather than word by word, which speeds up responses. The authors do not recommend it for production systems.

Developer
SberDevices (ai-forever), Russia
First release
Sep 2026
Latest release
Sep 2026
Sizes
0.6B – 4B
License
Commercial use allowedMIT
Russian
Supported
Running
On your own serverNeeds a GPU
Industries
Science and research, Software development
Deploy on your server Hugging Face GitHub

What it does

  • Experiments with faster generation
  • Fine-tuning small models for your own tasks
  • Research

Where it is used

R&D teamsUniversities and labs

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. Zarya 0.6B, 1.7B и 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.

Frequently asked questions

Can Zarya (ai-forever) be used in a commercial project?

Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does Zarya (ai-forever) 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 Zarya (ai-forever) support Russian?

Yes, Russian is listed on the model card.

Where can I download Zarya (ai-forever) and what does it cost?

The Zarya (ai-forever) 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

TextQwenAlibaba · ChinaCommercial use with conditions

A family of language models with strong Russian language support, from small versions for a laptop to a flagship on par with commercial APIs.

DetailsTextGigaChatSber · RussiaCommercial use allowed

Sber open models with strong Russian language support and local context, from 10B-A1.8B to 702B, all MIT. GigaChat3.1-Audio handles recordings up to two hours; GFusion is a fast diffusion text version.

DetailsTextruGPT-3.5Sber (ai-forever) · RussiaCommercial use allowed

Sber's 13-billion-parameter base Russian model; GigaChat grew out of its fine-tuned version. Continues texts in Russian and English, context only 2048 tokens; today useful as a base for narrow fine-tuning.

Details

Source: huggingface.co/ai-forever/Zarya-4B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.