Julia
A very small decision model: from a text, a question and answer options it picks one option, gives a rating or answers yes or no. Runs on an ordinary CPU and in the browser.
- Developer
- Supersonic Labs, not stated
- First release
- Sep 2026
- Latest release
- Sep 2026
- Sizes
- 144M
- License
- Commercial use allowedApache 2.0
- Russian
- Not stated
- Running
- On your own serverAlso runs without a GPU
- Industries
- Customer support, Retail and marketplaces, Documents and accounting
What it does
- routing requests by topic
- detecting the tone of reviews
- fast classification of requests
- yes-or-no decisions about a text
Where it is used
Hardware requirements
Versions
- Julia 1
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.
Frequently asked questions
Can Julia be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does Julia 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 Julia support Russian?
The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.
Where can I download Julia and what does it cost?
The Julia 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
Decision models: they do not write text but read a situation (text, JSON, an image, video frames) and return in one pass the probability of each answer to typed questions: yes or no, pick one, rate on a scale. The agent gets ready numbers instead of parsing free text.
DetailsText analysisGLiNERUrchade Zaratiana and Fastino AI · France / USACommercial use allowedFinds the entities you need in text without training: just list what to look for (name, amount, date). GLiNER2 also classifies text. Multilingual versions understand Russian.
DetailsText analysisJEV и GEVAutoTrust AI · SingaporeCommercial use allowedOpen decision models: for yes/no, pick-one and rate-0-to-5 questions they answer with probabilities in one pass, and can also reason when needed. Not affiliated with the closed Jev from TypeSafe.
DetailsSource: huggingface.co/SupersonicLabs/Julia-1. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


