Moirai-1.0-R-Large

Moirai-1.0-R-Large is the highest-capacity dense checkpoint in Salesforce's original Moirai family, the top tier above Moirai-1.0-R-Small and Moirai-1.0-R-Base. At 311M parameters it is the first-generation Moirai design at its largest published scale, aimed at the strongest broad zero-shot performance the dense 1.0-R line offers.

It preserves the same masked-encoder transformer as the smaller checkpoints, with multi-patch projections, any-variate attention, and a mixture-distribution output head. The any-variate attention handles arbitrary numbers of target variables and dynamic covariates in one model, and the mixture output head yields probabilistic forecasts with calibrated quantiles. Like the rest of the family it is pretrained on the LOTSA corpus, the large open time-series archive behind the Moirai work, which underpins its zero-shot generalization.

On TSFM.ai choose it when accuracy matters more than serving cost and you want the original Moirai architecture at full capacity. If latency or throughput is the constraint, step down to Moirai-1.0-R-Base or Moirai-1.0-R-Small; if your data is dominated by low-frequency yearly and quarterly series, the updated 1.1-R checkpoints are the better fit.