Moirai-1.1-R-Large
Model directorySalesforce/moirai-1.1-R-large~311M params | Upstream checkpoint
Moirai-1.1-R-Large is the highest-capacity checkpoint in the updated Moirai 1.1-R line, the top tier above the 1.1-R Small and Base variants. At roughly 311M parameters it matches the footprint of Moirai-1.0-R-Large while carrying the 1.1 update, giving the newer dense family its strongest member.
The official card does not publish a full new technical note, but the released configuration follows the same masked-encoder Moirai architecture and usage pattern as the 1.0-R design, so it supports multivariate forecasting, dynamic covariates, and calibrated quantile output. Salesforce frames 1.1-R as a direct improvement on the original 1.0-R family with better low-frequency behavior; the card does not restate a new corpus, so the official provenance is the 1.0-R/Moirai line plus the 1.1 release update.
Where to run this model
Compute availability, hardware requirements, and pricing depend on the execution provider.
Get model weights, deployment instructions, and current provider listings.
- sktime TServe
self-hosted runtime · Family / provider variant · Source checked 2026-10-06
Run a model-serving container on your own hardware or compute account. Select the catalog checkpoint and matching runtime image.
Hugging Face provider mappings checked 2026-10-06. No Inference Provider mapping was listed for this checkpoint.
Model Classification
Family
Moirai-1.1-R
Type
time series foundation model
Pretrained time-series model 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
- ~311M
- Architecture
- updated masked encoder Moirai architecture following the 1.0-R design pattern
- Context length
- n/a
- Max context
- n/a
- Minimum history
- n/a
- Recommended history
- n/a
- Input step
- n/a
- Required target series
- 1
- Temperature
- Ignored
- Top P
- Ignored
- Max output
- n/a
- License
- n/a