TimesFM 2.5

Name: TimesFM 2.5
Author: Google

TimesFMv2.5Current

Google(enterprise)

Released September 15, 2025

API Docs

Context--

CategoryTime Series Foundation Model

About TimesFM 2.5

TimesFM (Time Series Foundation Model) is a pretrained decoder-only foundation model by Google Research for time-series forecasting. It uses a patched-decoder attention architecture where patches of time-points are treated as tokens, enabling zero-shot forecasting across domains and temporal granularities from minutes to yearly.

Capabilities

time series forecastingzero shot forecastingquantile forecasting

Input Modalities

time-series

Output Modalities

time-seriesquantiles

Technical Details

API Identifier: google/timesfm-2.5-200m-pytorch
Category: Time Series Foundation Model

Benchmarks

Performance scores for TimesFM 2.5 across standard benchmarks.

Monash Archivegoogle-research · Sep 2025

ETT Long-horizongoogle-research · Sep 2025

Pricing and access

Open-source (Apache 2.0). Free to download and run locally. Enterprise options via BigQuery ML and Vertex AI with their respective pricing.

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