EXAONE Tabular
LG's small tabular model: with 21M parameters it nearly matches the leaders in classification and regression accuracy. Weights are for non-commercial use only.
- Developer
- LG AI Research, South Korea
- First release
- Jul 2026
- Latest release
- Jul 2026
- Sizes
- about 21M
- License
- Non-commercial onlyCode is freely open; weights are under the non-commercial EXAONE license
- Running
- On your own serverAlso runs without a GPU
- Industries
- Science and research, Finance, Manufacturing and logistics
What it does
- Pilot churn forecasts
- Testing scoring hypotheses
- Exploring customer data
Where it is used
Hardware requirements
Versions
- EXAONE Tabular v1.0
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 EXAONE Tabular be used in a commercial project?
No. License: Code is freely open; weights are under the non-commercial EXAONE license. A commercial product needs a different model or a separate agreement with the rights holder.
What hardware does EXAONE Tabular 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 EXAONE Tabular support Russian?
Language does not matter for this model: it does not work with text.
Where can I download EXAONE Tabular and what does it cost?
The EXAONE Tabular 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
An open tabular model from the creators of scikit-learn: classifies and predicts from examples without training and handles tables of up to hundreds of thousands of rows. The license allows business use.
DetailsTabular dataTabPFNPrior Labs (University of Freiburg) · GermanyCommercial use with conditionsA ready-made model for tables: it takes example rows and immediately predicts for new ones, without lengthy training or tuning. Only v2 is free for business; newer versions are non-commercial.
DetailsTextEXAONELG AI Research · South KoreaCommercial use with conditionsKorean-English models from LG. Most of the line is non-commercial, but the flagship K-EXAONE 2.0 with 750 billion parameters is released under Apache 2.0.
DetailsSource: huggingface.co/LG-AI-Research/EXAONE-Tabular. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


