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Iambackup/granite-timeseries-ttm-r2

Time Series Forecasting·Iambackup· 17
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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# pull & run locally
pip install mlforge-sdk && mlforge pull Iambackup/granite-timeseries-ttm-r2

Model details

Task
Time Series Forecasting
Provider
Iambackup
Framework
granite-tsfm
Parameters
805.3K
Size
150 MB
License
apache-2.0
Downloads
17
Paper
arXiv:2401.03955
Updated
2026-06-15

About Iambackup/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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