Toto-2.0-22m (int8 ONNX)

int8 ONNX export of Datadog/Toto-2.0-22m (Apache-2.0), quantized as: blocked weight-only QInt8 (opset-21 blocked DequantizeLinear, 16-row blocks); output head kept fp32. Requires onnxruntime >= 1.20; untested under onnxruntime-web.

Unofficial export, not affiliated with or endorsed by the model authors.

Contract

input dtype shape notes
context float32 ['variates', 2048] NaN
series_ids int64 ['variates'] variates sharing an id are forecast jointly through variate-axis attention; distinct ids = independent

Output quantiles: float32 ['variates', 96, 9]. Quantile levels: [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9].

One parallel pass to 96 steps. Left-pad short series with NaN (missing-aware). Median is level index 4.

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