Chronos-Bolt (Small)

online

amazon/chronos-bolt-small

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

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

Type

time series foundation model

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

Resources

HuggingFace Paper

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

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