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ibm-granite/granite-timeseries-ttm-r2

Time Series Forecasting·ibm-granite· 380.1K· 164
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 model sizes starting from 1M params, TTM introduces the notion of the first-ever “tiny” pre-trained models for Time-Series Forecasting. The paper describing TTM was accepted at NeurIPS 24.

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pip install mlforge-sdk && mlforge pull ibm-granite/granite-timeseries-ttm-r2

Model details

Task
Time Series Forecasting
Provider
ibm-granite
Framework
granite-tsfm
Parameters
805.3K
Size
150 MB
License
apache-2.0
Downloads
380.1K
Likes
164
Paper
arXiv:2401.03955
Updated
2025-02-26

About ibm-granite/granite-timeseries-ttm-r2

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 introduces the notion of the first-ever “tiny” pre-trained models for Time-Series Forecasting. The paper describing TTM was accepted at NeurIPS 24.

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