TimesFM 3
TimesFM 3 is a 330M parameter decoder-only transformer for time series forecasting. It is natively pre-trained for multivariate forecasting, jointly predicting multiple coevolving series and accepting past covariates and past-future dynamic covariates. It returns point forecasts plus nine quantiles (10th to 90th percentile) for every target and generates the entire forecast horizon in a single forward pass, operating zero-shot with no task-specific fine-tuning.
- Type
- Text
- Weights
- Open
- Downloads
- 1.3M
- Likes
- 896
- Pipeline
- time series forecasting
- License
- other
Model hub
google/timesfm-3.0-pytorch
- Repo
- google/timesfm-3.0-pytorch
- Access
- Public
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Papers
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