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Kairos-50M

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mldi-lab/Kairos_50m

50.1M params | 2K context | $0.00025 per forecast

Kairos-50M is the largest public checkpoint in the Kairos family currently hosted here, from the Ant Group and ShanghaiTech University Kairos release. Official sources describe it as an adaptive TSFM that varies tokenization granularity and positional treatment based on the information density and temporal structure of each series. It is the Kairos checkpoint to reach for when you want the highest published capacity in that adaptive family.

Model Classification

Family

Kairos

Type

time series foundation model

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

Training Data

PreSTS corpus with 300B+ time points, as documented by the official Kairos model cards and project page.

Recommended For

  • • Adaptive zero-shot forecasting across heterogeneous series
  • • Teams that want a mid-size open family with modern tokenization ideas

Strengths

  • • Adaptive tokenization handles changing information density well
  • • Clear parameter-size ladder from small to larger public checkpoints

Limitations

  • • Newer family with a smaller production footprint than the most established lines
  • • Focused on forecasting rather than general multi-task time-series tooling

Capabilities

forecastingzero-shotadaptive-tokenization

Tags

kairosadaptivezero-shotquality-tier

Specifications

Parameters
50.1M
Architecture
encoder-decoder transformer with adaptive patching and instance-adaptive rotary position encoding
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