ONNX exports of TabICLv2, KumoTabular (small, medium, large), KumoRelational, Chronos-2 and Kumo-Anomaly for Tabular Data Workbench
b043bdf verified | Time-series foundation models converted to ONNX for Tabular Data Workbench. | |
| The weights in these files are the upstream weights; the graphs around them | |
| were re-exported, so the files are modified forms of the originals (see | |
| "Changes" below). | |
| Chronos-2 and Chronos-2 small | |
| Source: amazon/chronos-2 (revision 29ec3766d36d6f73f0696f85560a422f50e8498c) | |
| autogluon/chronos-2-small (revision ddec01313e50b6bc58ebaa92ede81bc24a3d9f9a) | |
| https://github.com/amazon-science/chronos-forecasting | |
| Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. | |
| Licensed under the Apache License, Version 2.0 (LICENSE). | |
| Kumo-Anomaly (NV-Tesseract-AD) | |
| Source: nvidia/Kumo-Anomaly (revision 226c5003b0582adc1cac433123f47324bfae39f2) | |
| https://github.com/NVIDIA/structured-data-models | |
| Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. | |
| Licensed under the Apache License, Version 2.0 (LICENSE; NVIDIA's copy with | |
| its copyright line is LICENSE.structured-data-models). | |
| Kumo-TS includes DPM-Solver, Copyright (c) 2022 Cheng Lu, licensed under the | |
| MIT License (THIRD-PARTY-NOTICES.txt). | |
| Changes | |
| - chronos-2*.fp32.onnx: the Chronos-2 network re-exported with | |
| torch.onnx (dynamo, opset 18). Instance scaling, the arcsinh transform, | |
| NaN handling and the masks built from group ids are computed outside the | |
| graph, and the graph contains no int64 shape arithmetic. Weights | |
| unchanged. | |
| - kumo-anomaly.fp32.onnx: Kumo-Anomaly's denoiser network re-exported the | |
| same way. The diffusion sampling loop (DPM-Solver++) and the scoring run | |
| outside the graph. Weights unchanged. | |
| - *.f16w.onnx: the same graphs with every weight of 1,024 or more elements | |
| stored as float16 and cast back to float32 on load. | |