If you need a near-instant local setup, just fetch files via a basic curl request.
Make sure to follow the instructions below.
1-click setup: the app automatically fetches the large weight files.
The initial setup handles the heavy lifting, fine-tuning the environment for your device.
The chronos-2 model represents a significant advancement in time-series forecasting and sequence modeling tasks. Built upon an enhanced transformer architecture, it incorporates attention mechanisms that capture longโrange dependencies across temporal data. By integrating multimodal inputs such as text, audio, and sensor streams, the model delivers richer contextual understanding for complex predictions. Its training pipeline leverages a massive curated dataset spanning multiple domains, resulting in robust generalization and stateโof-theโthe performance metrics. The released version supports both highโthroughput inference on standard hardware and specialized accelerators, making it accessible for production environments. Developers can fineโtune chronos-2 for niche applications through its flexible API, which includes comprehensive documentation and example notebooks.
| Metric | Value |
|---|---|
| Parameters | 12โฏB |
| Training Tokens | 5โฏtrillion |
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