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Moirai-1.1-R-Small

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Salesforce/moirai-1.1-R-small

~14M params | 512 context | $0.5000 input | $1.50 output

Moirai-1.1-R-Small is the updated small checkpoint in the Moirai 1.1 line. Salesforce describes the 1.1-R release as an improvement over 1.0-R, especially for low-frequency yearly and quarterly cases on Monash-style evaluation sets. The public card is sparse, but the released configuration follows the same overall Moirai architecture and API pattern as the 1.0-R family.

Model Classification

Family

Moirai-1.1-R

Type

time series foundation model

Pretrained time-series model exposed on TSFM.ai 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-forecastingmultivariatezero-shot

Tags

salesforcemoirailow-frequencyupdated

Specifications

Parameters
~14M
Architecture
updated masked encoder Moirai architecture following the 1.0-R design pattern
Context length
512
Max output
1,024
Avg latency
n/a
Uptime
n/a
Rate limit
n/a
Accelerator
NVIDIA GPU
Regions
Virginia, US
License
n/a

Pricing

Input / 1M tokens
$0.5000
Output / 1M tokens
$1.50

Performance

Average latency
n/a
Availability
n/a
Rate limit
n/a