Moirai-1.1-R-Small
onlineSalesforce/moirai-1.1-R-small~14M params | 512 context | $0.00025 per forecast
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
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
Tags
Specifications
- Parameters
- ~14M
- 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
- 1,024
- Avg latency
- n/a
- Uptime
- n/a
- Plan limits
- 1,000 rpm free · 1,000,000 rpm with billing
- Accelerator
- T4
- 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