Time Series Forecasting
TimesFM
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  ## Checkpoint timesfm-2.0-500m
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- `timesfm-2.0-200m` is the second open model checkpoint:
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  - It performs univariate time series forecasting for context lengths up to 2048 time points and any horizon lengths, with an optional frequency indicator. Note that it can go even beyond 2048 context even though it was trained with that as the maximum context.
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  - It focuses on point forecasts. We experimentally offer 10 quantile heads but they have not been calibrated after pretraining.
 
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  ## Checkpoint timesfm-2.0-500m
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+ `timesfm-2.0-500m` is the second open model checkpoint:
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  - It performs univariate time series forecasting for context lengths up to 2048 time points and any horizon lengths, with an optional frequency indicator. Note that it can go even beyond 2048 context even though it was trained with that as the maximum context.
26
  - It focuses on point forecasts. We experimentally offer 10 quantile heads but they have not been calibrated after pretraining.