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Home/Models/TimesFM 3 PyTorch
ownerTapan Malhotra
organizationGoogle LLC
ORGANISATION

TimesFM 3 PyTorch

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

About Model

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. This repository contains the official PyTorch weights and configurations for TimesFM 3.0. License - This model is released under the TimesFM Non-Commercial License v1.0. Model Details Architecture: Stacked Mixing Transformer with Variate Attention and CPM Iterative RevIN. Context Patch Length: 32 Forecast Horizon Patch Length: 64 Layers: 20 transformer layers (model dim: 1280, heads: 16) Quantiles: (median at index 4) Data timesfm-3.0 is pretrained using GiftEvalPretrain excluding the datasets that overlap with fev-bench Wikipedia Pageviews, cutoff Nov 2023 (see paper for details). Google Trends top queries, cutoff EoY 2022 (see paper for details). Synthetic and augmented data.

TimesFM 3 PyTorch

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google

Time Series Forecasting Model

PyTorch

Open

Google LLC

Sector Agnostic

25/09/26 09:25:05

Tapan Malhotra

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  • PyTorch
  • time-series
  • google
  • pretrained
  • forecasting

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