Kronos Small

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NeoQuasar/Kronos-small

24.7M params | 512 context | $0.00025 per forecast | MIT

Kronos Small is the mid-size checkpoint in the NeoQuasar Kronos family. It uses a larger tokenizer vocabulary and more transformer capacity than the Mini variant for improved accuracy on complex multi-asset financial forecasting tasks. Designed for OHLCV candlestick data; the official examples require at least OHLC columns, with volume and amount remaining optional.

Model Classification

Family

Kronos

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

Official Kronos model cards describe pretraining on over 12B K-line records from 45 global exchanges.

Recommended For

• Financial time-series forecasting with OHLCV candlestick data
• Multi-asset price prediction across equities, forex, and crypto

Strengths

• Purpose-built tokenizer for financial price movement patterns
• Native OHLCV support with synthetic fallback for univariate series

Limitations

• Domain-specific to financial data — not a general-purpose TSFM
• Best fit when open, high, low, and close covariates are provided explicitly; the univariate fallback is a compatibility path, not the ideal contract
• Limited public documentation and benchmark coverage compared to major TSFM families

Capabilities

forecastingzero-shot

Specifications

Parameters: 24.7M
Architecture: GPT-style decoder with financial candlestick tokenizer
Context length: 512
Max context: 512
Minimum history: n/a
Recommended history: n/a
Input step: n/a
Required target series: 1
Temperature: Supported
Top P: Supported
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: MIT

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