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    # TimesFM Forecasting

Google TimesFM 2.5 — 200M parameter foundation model for zero-shot univariate time series forecasting. No training required; works out-of-the-box on new datasets.

## Key Capabilities

- **Zero-shot**: Forecasts without fine-tuning on your data
- **Probabilistic**: Outputs point forecast + 10 quantile levels (5%, 10%, 20%, 80%, 90%, 95%)
- **Flexible horizon**: Any forecast length; model patchifies input automatically
- **Hardware**: CPU, CUDA (NVIDIA GPU), MPS (Apple Silicon)
- **Context length**: Up to 512 time steps of history

## System Requirements

Run `check_system.py` before loading the model:
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