Moirai-1.1-R-Base
onlineSalesforce/moirai-1.1-R-base~91M params | 512 context | $0.5000 input | $1.50 output
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-1.1-R
Type
time series foundation model
Pretrained time-series model exposed on TSFM.ai for zero-shot or few-shot forecasting workloads.
Resources
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
- ~91M
- 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