Kumo-Tabular
NVIDIA
- Released
- September 29, 2026
- Data date
- October 3, 2026
- Model class
Kumo-Tabular is NVIDIA’s tabular foundation model for classification and regression. You provide labeled context examples and query rows, and the model returns class probabilities or regression values. It works on structured tables and is not a System One chat model.
NVIDIA publishes three sizes with 28-215 million parameters under OpenMDW 1.1. The weights run locally through structured-data-models. No Hugging Face Inference Provider or specific context window is documented.
Specifications and access
| Specification | Value and source |
|---|---|
| Model ID | nvidia/Kumo-TabularSource |
| Model class | Tabular foundation modelSource |
| Parameters | 28-215 million parameters across three sizes (Small, Medium, and Large)Source |
| Tasks | Classification and regression with labeled context examplesSource |
| Access | Local execution through structured-data-modelsSource |
| License | OpenMDW 1.1Source |
| Hosted service | No Inference Provider on Hugging FaceSource |
Sources and data date
Every statement links to its underlying documentation or leaderboard.
| Type | Evidence and data date |
|---|---|
| Research status | Research date October 4, 2026. 2 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Not found in the inspected sources | individual-checkpoint-benchmark Original wording Vendor-reported TabArena and BeyondArena family ELO values, plus TALENT and ScoringBench ranks, do not identify one Small, Medium, or Large checkpoint. They remain unassigned. |
| Additional source | NVIDIA Kumo-Tabular model card (retrieved October 3, 2026) · NVIDIA Kumo-Tabular model card · Editorial description reviewed October 3, 2026 |
| Additional source | NVIDIA Kumo-Tabular announcement (retrieved October 3, 2026) · NVIDIA Kumo-Tabular announcement · Editorial description reviewed October 3, 2026 |