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Sundial Base 128m

Developed by thuml
Sundial is a series of generative time series foundation models capable of zero-shot inference for both deterministic and probabilistic forecasting.
Downloads 214
Release Time : 5/13/2025

Model Overview

The Sundial Model is pre-trained on 1 trillion time points with 128 million parameters, supporting deterministic and probabilistic forecasting of time series with zero-shot inference capability.

Model Features

Zero-shot inference
Supports zero-shot inference for both deterministic and probabilistic forecasting of time series.
Large-scale pre-training
Pre-trained on 1 trillion time points with 128 million parameters.
Multiple probabilistic forecasts
Can generate multiple sets of reasonable forecasts for mean/quantile/confidence interval estimation.
High performance
Ranked first in MASE metric on GIFT-Eval benchmark, achieving best zero-shot MSE/MAE performance on time series library datasets.

Model Capabilities

Time series forecasting
Probabilistic forecasting
Zero-shot inference

Use Cases

Time series forecasting
Deterministic forecasting
Performs deterministic forecasting on time series.
Achieves best zero-shot MSE/MAE performance on time series library datasets.
Probabilistic forecasting
Generates multiple sets of reasonable forecasts for mean/quantile/confidence interval estimation.
Ranked first in MASE metric on GIFT-Eval benchmark.
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