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t0-alpha-onnx-int8
sktime/t0-alpha-onnx-int8
t0-alpha-onnx-int8 is a machine learning model from sktime. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
int8 ONNX export of theforecastingcompany/t0-alpha (Apache-2.0), quantized as: dynamic per-channel QInt8.
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Updated Sep 2, 2026
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Sep 2, 2026
- Updated
- Sep 2, 2026
- SHA
- 3374e1f3
Base models
Model card
From the Hugging Face model README
t0-alpha (int8 ONNX)
int8 ONNX export of theforecastingcompany/t0-alpha (Apache-2.0), quantized as: dynamic per-channel QInt8.
int8 output verified within 15.2% of forecast spread (mean 3%) of the official T0Forecaster.predict(). Unofficial export, not
affiliated with or endorsed by the model authors.
Contract
| input | dtype | shape | notes |
|---|---|---|---|
context | float32 | ['batch', 512] | NaN = missing; left-pad short series with NaN |
Output quantiles: float32 ['batch', 64, 5]. Quantile levels: [0.1, 0.25, 0.5, 0.75, 0.9].
One forward pass. Left-pad short series with NaN (the model is missing-aware; padding is exactly equivalent to the natural-length call). Median is level index 2. Univariate graph; for the multivariate group_ids variant run scripts/export_t0_onnx.py --grouped.
See manifest.json for the machine-readable contract and the artifact's
sha256. LICENSE is Apache-2.0; when the upstream repo ships a NOTICE
file it is republished here unchanged, as the license requires.
- License
- apache-2.0
- Created
- Sep 2, 2026
- Updated
- Sep 2, 2026