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README.md
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---
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license: apache-2.0
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base_model: theforecastingcompany/t0-alpha
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tags:
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- time-series
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- forecasting
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- onnx
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- onnxruntime
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- quantized
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- zero-shot
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---
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# t0-alpha (int8 ONNX)
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int8 ONNX export of [theforecastingcompany/t0-alpha](https://huggingface.co/theforecastingcompany/t0-alpha) (Apache-2.0), quantized as: dynamic per-channel QInt8.
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int8 output verified within 15.2% of forecast spread (mean 3%) of the official `T0Forecaster.predict()`. Unofficial export, not
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affiliated with or endorsed by the model authors.
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## Contract
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| input | dtype | shape | notes |
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|---|---|---|---|
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| `context` | float32 | `['batch', 512]` | NaN = missing; left-pad short series with NaN |
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Output `quantiles`: float32 `['batch', 64, 5]`. Quantile levels: `[0.1, 0.25, 0.5, 0.75, 0.9]`.
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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`.
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See `manifest.json` for the machine-readable contract and the artifact's
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sha256. `LICENSE` is Apache-2.0; when the upstream repo ships a `NOTICE`
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file it is republished here unchanged, as the license requires.
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