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ibm-granite/granite-timeseries-ttm-r1

Time Series Forecasting·ibm-granite· 368.3K· 327
granite-tsfm apache-2.0 Time Series Forecasting 805.3K params arxiv:2401.03955license:apache-2.0

TinyTimeMixers (TTMs) are compact pre-trained models for Multivariate Time-Series Forecasting, open-sourced by IBM Research. With less than 1 Million parameters, TTM (accepted in NeurIPS 24) introduces the notion of the first-ever “tiny” pre-trained models for Time-Series Forecasting.

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# pull & run locally
pip install mlforge-sdk && mlforge pull ibm-granite/granite-timeseries-ttm-r1

Model details

Task
Time Series Forecasting
Provider
ibm-granite
Framework
granite-tsfm
Parameters
805.3K
Size
33 MB
License
apache-2.0
Downloads
368.3K
Likes
327
Paper
arXiv:2401.03955
Updated
2025-01-30

About ibm-granite/granite-timeseries-ttm-r1

TinyTimeMixers (TTMs) are compact pre-trained models for Multivariate Time-Series Forecasting, open-sourced by IBM Research. With less than 1 Million parameters, TTM (accepted in NeurIPS 24) introduces the notion of the first-ever “tiny” pre-trained models for Time-Series Forecasting.

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