t0-alpha
Model directorytheforecastingcompany/t0-alpha102M params | Apache-2.0 | Upstream checkpoint
The Forecasting Company’s 102M zero-shot forecasting model uses target history and covariate context to produce probabilistic forecasts. First-party PyTorch and MLX runtimes, portable alpha exports, and managed Retrocast execution are available.
Where to run this model
Compute availability, hardware requirements, and pricing depend on the execution provider.
Get model weights, deployment instructions, and current provider listings.
- Retrocast · The Forecasting Company
managed service · Source checked 2026-10-06
Forecast through the managed API using t0-alpha. The provider controls the deployed variant and request limits.
- t0.run · On-device demo
browser demo · Family / provider variant · Source checked 2026-10-06
Author-linked browser demo for t0-alpha using its portable runtime, separate from TSFM browser execution.
Hugging Face provider mappings checked 2026-10-06. No Inference Provider mapping was listed for this checkpoint.
Model Classification
Family
t0
Type
n/a
Resources
Capabilities
Tags
Specifications
- Parameters
- 102M
- Architecture
- patch Transformer with time and variate attention
- Context length
- n/a
- Max context
- n/a
- Minimum history
- n/a
- Recommended history
- n/a
- Input step
- n/a
- Required target series
- 1
- Temperature
- Ignored
- Top P
- Ignored
- Max output
- n/a
- License
- Apache-2.0