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Chronos-Bolt (Small)

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amazon/chronos-bolt-small

48M params | 2K context | $0.00025 per forecast

Chronos-Bolt Small is Amazon's fast zero-shot forecasting checkpoint built for production use, at 48M parameters. It is positioned as a strong default in the Chronos-Bolt family: probabilistic forecasts with low latency and a simpler deployment footprint than the original Chronos line.

It uses a patch-based T5 encoder-decoder and replaces autoregressive token-by-token rollout with direct multi-step quantile prediction over patchified history. Forecasting the entire horizon in one pass is what makes Bolt materially faster and lighter than the first Chronos generation. 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.

On TSFM.ai, Small is the natural starting point when you want quick, high-throughput quantile forecasts without hand-tuning a model choice. Drop to Chronos-Bolt Mini or Tiny when cost and latency dominate, climb to Chronos-Bolt Base when you want a higher quality ceiling, and switch to Chronos-2 when you need covariates or multivariate cross-learning beyond fast univariate forecasting.

Model Classification

Family

Chronos

Type

time series foundation model

Pretrained time-series model exposed on TSFM.ai for zero-shot or few-shot forecasting workloads.

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

forecastingquantile-forecastingzero-shothigh-throughput

Tags

amazonchronosprobabilisticfast

Specifications

Parameters
48M
Architecture
patch-based T5 encoder-decoder with direct multi-step quantile forecasting
Context length
2,048
Max context
2,048
Minimum history
n/a
Recommended history
n/a
Input step
n/a
Required target series
1
Temperature
Ignored
Top P
Ignored
Max output
1,024
Avg latency
n/a
Uptime
n/a
Plan limits
1,000 rpm free · 1,000,000 rpm with billing
Accelerator
T4
Regions
Virginia, US
License
n/a

Pricing

Per forecast
$0.00025

Performance

Average latency
n/a
Availability
n/a
Plan limits
1,000 rpm free · 1,000,000 rpm with billing

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