Amazon
Chronos is a family of pretrained time series forecasting models based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss.
Running this yourself: can likely run on your own machine.
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29.9
Quality Score
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Arena ELO
46M
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
14 of 22 public signals
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665.8K
Downloads
153
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Feb 2024
Released
4/5 signals
1/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
46M
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources