Tiny Time Mixer (TTM) Research Use Model Card TinyTimeMixers (TTMs) are compact pre trained models for Multivariate Time Series Forecasting, open sourced by IBM Research. With model sizes starting from 1M params, TTM (accepted in NeurIPS 24) introduces the notion of the first ever “tiny” pre trained models for Time Series Forecasting. This model card contains the model weights for research use only and full reproducibility of our results published in our paper. However if you are looking for TTM model weights for commercial and enterprise use, please refer to our granite releases here TTM outperforms several popular benchmarks demanding billions of parameters in zero shot and few shot forecasting. TTMs are lightweight forecasters, pre trained on publicly available time series data with various augmentations. TTM provides state of the art zero shot forecasts and can easily be fine tuned for multi variate forecasts with just 5% of the training data to be competitive. Refer to our paper for more details. The current open source version supports point forecasting use cases specifically ranging from minutely to hourly resolutions (Ex. 10 min, 15 min, 1 hour.). Note that zeroshot, fine t…
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