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Chronos-Bolt (Small)

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amazon/chronos-bolt-small

47.7M params | 512 context | $0.5000 input | $1.50 output

Chronos-Bolt Small is Amazon's fast zero-shot forecasting checkpoint for production use. It replaces autoregressive token-by-token rollout with direct multi-step quantile prediction over patchified history, which makes it materially faster and lighter than the original Chronos line. It is a strong default when you want probabilistic forecasts with low latency and a simpler deployment footprint.

Model Classification

Family

Chronos-Bolt

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
47.7M
Architecture
patch-based T5 encoder-decoder with direct multi-step quantile forecasting
Context length
512
Max output
1,024
Avg latency
n/a
Uptime
n/a
Rate limit
n/a
Accelerator
NVIDIA GPU
Regions
Virginia, US
License
n/a

Pricing

Input / 1M tokens
$0.5000
Output / 1M tokens
$1.50

Performance

Average latency
n/a
Availability
n/a
Rate limit
n/a