name: chronos-bolt-and-original
description: "Use Chronos-Bolt and original Chronos/T5 pipelines for univariate
forecasting, quantiles, samples, DataFrames, embeddings, fev, and model-family
selection."
disable-model-invocation: true
metadata:
disco-role: operating
license: Apache 2.0
Chronos-Bolt and original Chronos/T5
Use this sub-skill when the task is about the Chronos-Bolt or original Chronos/T5 families from the chronos-forecasting package:
- load a Bolt or original Chronos model from a Hugging Face model ID, an S3 URI, or a local directory;
- choose between Bolt direct quantile forecasts and original Chronos sample-path forecasts;
- run tensor/list forecasts with
predict or predict_quantiles;
- run univariate long-format pandas forecasts with
predict_df;
- obtain encoder embeddings with
embed;
- use the base
predict_fev bridge for fev tasks;
- handle prediction-length, dtype/device, cache, and shape issues.
Route first
- For Chronos-2, multivariate targets, covariates,
future_df, cross_learning, Chronos-2 fine-tuning, or Chronos-2 deployment choices, route to ../chronos-2-forecasting/.
- For detailed pandas schema/frequency/covariate validation, route to
../data-formats-and-validation/.
- For training, benchmark evaluation scripts, aggregate scores, or SageMaker/cloud operations, route to
../training-evaluation-deployment/.
Load these references
references/api-reference.md — exact public signatures, tensor shapes, forecast-type differences, loading behavior, and family properties.
references/workflows.md — practical loading, tensor/list prediction, quantile/mean, DataFrame, embeddings, fev, and model-selection recipes.
references/troubleshooting.md — shape, padding/NaN, sample-vs-quantile, prediction-length, S3/HF cache, dtype/device, and dependency fixes.
Bundled safe script
scripts/bolt_original_smoke.py defaults to import/signature inspection when no model is provided.
- It only loads a model when
--model-id-or-path is supplied; non-local Hugging Face or S3 identifiers additionally require --allow-remote.
- Use it to validate that an installed package can import the public APIs and, with an explicit user model, run a tiny tensor forecast.
Minimal selection rule
- Prefer Chronos-Bolt for fast univariate probabilistic forecasts where direct quantile output is desired.
- Prefer original Chronos/T5 when the user explicitly needs sample trajectories, sampling controls (
num_samples, temperature, top_k, top_p), or compatibility with original Chronos behavior.
- Prefer Chronos-2 instead of this sub-skill for covariates, multivariate forecasting, or the latest model family.