# Zero-shot forecasting

Chronos-Bolt is a series of pretrained time series forecasting models supporting zero-shot forecasting, based on T5 encoder-decoder architecture, trained on nearly 100 billion time series data points.

MOMENT is a series of general-purpose foundational models for time series analysis, supporting various tasks such as forecasting, classification, anomaly detection, etc., with out-of-the-box and fine-tuning capabilities.

MOMENT is a series of foundation models for general time series analysis, supporting various time series tasks with out-of-the-box effectiveness and performance improvements through fine-tuning.

TinyTimeMixers (TTMs) are compact pretrained models for multivariate time-series forecasting open-sourced by IBM Research, starting from 1 million parameters, introducing the concept of 'miniature' pretrained models in time-series forecasting for the first time.

TinyTimeMixers (TTMs) are compact pre-trained models for multivariate time series forecasting open-sourced by IBM Research, with fewer than 1 million parameters, excelling in zero-shot and few-shot forecasting tasks.