t0-alpha-onnx-int8 / README.md
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metadata
license: apache-2.0
base_model: theforecastingcompany/t0-alpha
tags:
  - time-series
  - forecasting
  - onnx
  - onnxruntime
  - quantized
  - zero-shot

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.