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Chronos-Bolt (Tiny)

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amazon/chronos-bolt-tiny

9M params | 2K context | $0.00025 per forecast

Chronos-Bolt Tiny is the smallest checkpoint in Amazon's Chronos-Bolt family with 9M parameters. It keeps the T5-style encoder-decoder backbone but swaps token-by-token rollout for direct multi-step quantile prediction over patched history. Ideal for latency-sensitive applications, edge deployments, and high-volume batch forecasting where cost and speed matter more than peak accuracy.

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

amazonchronosprobabilisticultra-fastcost-efficient

Specifications

Parameters
9M
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