Salesforce logo

Moirai-1.1-R-Small

Model directory
Salesforce/moirai-1.1-R-small

~14M params | Upstream checkpoint

Moirai-1.1-R-Small is the smallest checkpoint in the updated Moirai 1.1-R line, the lightweight tier alongside the 1.1-R Base and Large variants. At roughly 14M parameters it mirrors the footprint of Moirai-1.0-R-Small while carrying the 1.1 release update, making it the cheapest entry point into the newer dense family.

The public card is sparse, but the released configuration follows the same overall masked-encoder Moirai architecture and API pattern as the 1.0-R family, so it forecasts multivariate series, accepts dynamic covariates, and returns calibrated quantiles in the same way. Salesforce positions 1.1-R as an updated 1.0-R release rather than a corpus change: the card does not restate a new training mixture, so the official provenance is the 1.0-R/Moirai line plus the 1.1 update.

Where to run this model

Compute availability, hardware requirements, and pricing depend on the execution provider.

Hugging Face · Weights & deployment

Get model weights, deployment instructions, and current provider listings.

  • sktime TServe

    self-hosted runtime · Family / provider variant · Source checked 2026-10-06

    Run a model-serving container on your own hardware or compute account. Select the catalog checkpoint and matching runtime image.

Hugging Face provider mappings checked 2026-10-06. No Inference Provider mapping was listed for this checkpoint.

Model Classification

Family

Moirai-1.1-R

Type

time series foundation model

Pretrained time-series model for zero-shot or few-shot forecasting workloads.

Training Data

Salesforce positions this as an updated 1.0-R release; the 1.1 card does not restate a new corpus in detail, so the official provenance is the 1.0-R/Moirai line plus the 1.1 release update.

Recommended For

  • • Multivariate forecasting across heterogeneous domains
  • • Workloads that benefit from probabilistic outputs and arbitrary variate counts

Strengths

  • • Strong multivariate coverage across the Moirai family
  • • Well-suited to covariates and correlated series

Limitations

  • • Model cards for some newer Moirai variants are still sparse on exact checkpoint details
  • • Heavier family choices can be more expensive than tiny single-purpose baselines

Capabilities

forecastingquantile-forecastingmultivariatecovariateszero-shot

Tags

salesforcemoirailow-frequencyupdated

Specifications

Parameters
~14M
Architecture
updated masked encoder Moirai architecture following the 1.0-R design pattern
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
n/a

Related models