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tinycast-onnx
sktime/tinycast-onnx
tinycast-onnx 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.
Unquantized fp32 ONNX export of raws-labs/tinycast (Apache-2.0).
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Public
Updated Sep 1, 2026
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026
- SHA
- 20a42883
Base models
Model card
From the Hugging Face model README
TinyCast (fp32 ONNX)
Unquantized fp32 ONNX export of raws-labs/tinycast (Apache-2.0).
fp32 output verified within 0.0003% of forecast spread of the official TinyCastPredictor.predict(), 15-block rollouts included. Unofficial export, not
affiliated with or endorsed by the model authors.
Contract
| input | dtype | shape | notes |
|---|---|---|---|
context | float32 | ['batch', 2048] | not supported - impute first (np.interp), left-pad with the FIRST value |
Output quantiles: float32 ['batch', 48, 9]. Quantile levels: [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9].
One 48-step AR block per call. For longer horizons feed the raw median (index 4) back into the context and rerun; sort each step's 9 deciles ascending before use (official TinyCastPredictor semantics).
See manifest.json for the machine-readable contract and the artifact's
sha256.
- License
- apache-2.0
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026