chronos-2 and chronos-2 are both time-series-forecasting models. See each entry for specifics.
Chronos-2 is Amazon's second-generation pretrained foundation model for zero-shot time-series forecasting. It frames forecasting as a language modeling problem over quantized time-series tokens using a T5 encoder-decoder architecture, enabling it to forecast across diverse domains without per-dataset training. Released under Apache 2.0.
AutoGluon's distribution of Amazon's Chronos-2 time-series foundation model, packaged for use within the AutoGluon machine learning framework. The model uses a T5 encoder-decoder over quantized time-series tokens for zero-shot forecasting across diverse domains. AutoGluon wraps it in a high-level API for automated time-series modeling pipelines.
Pick based on your compute budget and specific task requirements.