Chronos-Bolt (Base)
Model directoryamazon/chronos-bolt-base205M params | Upstream checkpoint
Chronos-Bolt Base is the larger, high-accuracy checkpoint in Amazon's Chronos-Bolt family, at 205M parameters. The official model card positions it as more accurate than the original Chronos-Large while remaining dramatically faster, making it the quality tier of the Bolt line and well suited to longer-horizon forecasting.
That combination comes from the shared Bolt design: a patch-based T5 encoder-decoder that produces direct multi-step quantile forecasts over patchified history instead of autoregressive token-by-token rollout. Predicting the whole horizon at once is what keeps it fast despite the larger parameter count. It is pretrained on nearly 100B time-series observations drawn from large public corpora and synthetic pretraining data, as documented by the official Chronos-Bolt model cards.
Where to run this model
Compute availability, hardware requirements, and pricing depend on the execution provider.
Get model weights, deployment instructions, and current provider listings.
- Amazon SageMaker JumpStart
managed deployment · Source checked 2026-10-06
AWS lists Chronos-Bolt Base through an AutoGluon forecasting wrapper. Its service contract differs from the TSFM browser graph.
- sktime TServe
self-hosted runtime · Family / provider variant · Source checked 2026-10-06
Run a model-serving container on your own hardware or compute account. Select the catalog checkpoint and matching runtime image.
Hugging Face provider mappings checked 2026-10-06. No Inference Provider mapping was listed for this checkpoint.
Model Classification
Family
Chronos-Bolt
Type
time series foundation model
Pretrained time-series model for zero-shot or few-shot forecasting workloads.
Resources
Training Data
Nearly 100B time-series observations from large public corpora and synthetic pretraining data, as documented by the official Chronos-Bolt model cards.
Recommended For
- • Fast zero-shot probabilistic forecasting in production APIs
- • Teams replacing classic Chronos-T5 with lower latency inference
Strengths
- • Direct multi-step forecasting avoids autoregressive rollout cost
- • Strong default for quantile forecasts with lightweight serving
Limitations
- • Focused on forecasting rather than broader multi-task time-series work
- • Less natural fit when you need model behavior tuned around rich multivariate covariates
Capabilities
Tags
Specifications
- Parameters
- 205M
- Architecture
- patch-based T5 encoder-decoder with direct multi-step quantile forecasting
- Context length
- n/a
- Max context
- n/a
- Minimum history
- n/a
- Recommended history
- n/a
- Input step
- n/a
- Required target series
- 1
- Temperature
- Ignored
- Top P
- Ignored
- Max output
- n/a
- License
- n/a