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Moirai-1.1-R-Large

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Salesforce/moirai-1.1-R-large

~311M params | 512 context | $0.5000 input | $1.50 output

Moirai-1.1-R-Large is the largest checkpoint in the 1.1-R update line. The official card does not publish a full new technical note, but it frames 1.1-R as a direct improvement on the original 1.0-R family with better low-frequency behavior. It is the Moirai 1.1 option to choose when you want the highest-capacity checkpoint in that updated dense 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-frequencyquality-tier

Specifications

Parameters
~311M
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