Moirai-1.1-R-Base

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Salesforce/moirai-1.1-R-base

~91M params | 512 context | $0.00025 per forecast

Moirai-1.1-R-Base is the mid-size update in the Moirai 1.1 family. Salesforce's official note for 1.1-R emphasizes improved low-frequency performance while keeping the familiar Moirai usage pattern. It is the cleanest option when you want Moirai's dense masked-encoder design but prefer the newer 1.1 checkpoint family over the original 1.0 release.

Model Classification

Family

Moirai

Type

time series foundation model

Pretrained time-series model exposed on TSFM.ai for zero-shot or few-shot forecasting workloads.

Resources

HuggingFace Paper

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

Specifications

Parameters: ~91M
Architecture: updated masked encoder Moirai architecture following the 1.0-R design pattern
Context length: 512
Max context: 8,192
Minimum history: n/a
Recommended history: n/a
Input step: n/a
Required target series: 1
Temperature: Ignored
Top P: Ignored
Max output: 2,048
Avg latency: n/a
Uptime: n/a
Plan limits: 1,000 rpm free · 1,000,000 rpm with billing
Accelerator: L40S
Regions: Virginia, US
License: n/a

Pricing

Per forecast: $0.00025

Performance

Average latency: n/a
Availability: n/a
Plan limits: 1,000 rpm free · 1,000,000 rpm with billing