Contamination Map Methodology

Time series / Model

Moirai-1.1-R

Organisation
Salesforce AI Research
Family
Moirai · version 1.1-R
Released
2024-06-14 (HF repo creation of Salesforce/moirai-1.1-R-small (HF API createdAt 2024-06-14); uni2ts README: 'Jun 2024: Released Moirai-1.1-R model weights')
Checkpoints
Salesforce/moirai-1.1-R-small, Salesforce/moirai-1.1-R-base, Salesforce/moirai-1.1-R-large
Weights
Open · cc-by-nc-4.0 (weights, per HF model card); uni2ts code is Apache-2.0
Links
Model cardCode

Training data disclosure: None

Level determined for 0% of benchmark cells.

“This is new updated version of Moirai-1.0-R (https://huggingface.co/Salesforce/moirai-1.0-R-base).”
huggingface.co · model card · retrieved 2026-10-15
“Jun 2024: Released Moirai-1.1-R model weights in [small](https://huggingface.co/Salesforce/moirai-1.1-R-small), [base](https://huggingface.co/Salesforce/moirai-1.1-R-base), and [large](https://huggingface.co/Salesforce/moirai-1.1-R-large).”
raw.githubusercontent.com · readme · What's New · retrieved 2026-10-15

Benchmark cells

GIFT-Eval

Unknown Jena Weather (GIFT-Eval) · training data not disclosed in enough detail

Unknown BizITObs - Application · training data not disclosed in enough detail

Unknown BizITObs - Service · training data not disclosed in enough detail

Unknown BizITObs - L2C · training data not disclosed in enough detail

Unknown Bitbrains - Fast Storage · training data not disclosed in enough detail

Unknown Bitbrains - rnd · training data not disclosed in enough detail

Unknown Restaurant (Recruit Restaurant Visitor Forecasting) · training data not disclosed in enough detail

Unknown ETT1 (GIFT-Eval) · training data not disclosed in enough detail

Unknown ETT2 (GIFT-Eval) · training data not disclosed in enough detail

Unknown Loop Seattle (LibCity) · training data not disclosed in enough detail

Unknown SZ-Taxi (LibCity) · training data not disclosed in enough detail

Unknown M_DENSE (LibCity) · training data not disclosed in enough detail

Unknown Solar (LSTNet, 137 Alabama PV plants) · training data not disclosed in enough detail

Unknown Hierarchical Sales (Mancuso et al., 2020) · training data not disclosed in enough detail

Unknown M4 Yearly · training data not disclosed in enough detail

Unknown M4 Quarterly · training data not disclosed in enough detail

Unknown M4 Monthly · training data not disclosed in enough detail

Unknown M4 Weekly · training data not disclosed in enough detail

Unknown M4 Daily · training data not disclosed in enough detail

Unknown M4 Hourly · training data not disclosed in enough detail

Unknown Hospital · training data not disclosed in enough detail

Unknown COVID Deaths · training data not disclosed in enough detail

Unknown US Births · training data not disclosed in enough detail

Unknown Saugeen River Flow · training data not disclosed in enough detail

Unknown Temperature Rain · training data not disclosed in enough detail

Unknown KDD Cup 2018 · training data not disclosed in enough detail

Unknown Car Parts · training data not disclosed in enough detail

Unknown ElectricityLoadDiagrams20112014 (UCI) · training data not disclosed in enough detail

Long-horizon forecasting (ETT, Electricity, Traffic, Weather, Exchange, ILI)

Unknown ETTh1 · training data not disclosed in enough detail

Unknown ETTh2 · training data not disclosed in enough detail

Unknown ETTm1 · training data not disclosed in enough detail

Unknown ETTm2 · training data not disclosed in enough detail

Unknown Electricity (ECL, 321 clients) · training data not disclosed in enough detail

Unknown Traffic (PeMS San Francisco Bay, 862 sensors) · training data not disclosed in enough detail

Unknown Weather (Jena, 2020; Autoformer) · training data not disclosed in enough detail

Unknown Exchange-Rate · training data not disclosed in enough detail

Unknown ILI (CDC influenza-like illness, national) · training data not disclosed in enough detail

Time-series anomaly detection

Unknown TSB-AD-U (TSB-AD univariate) · training data not disclosed in enough detail

Unknown TSB-AD-M (TSB-AD multivariate) · training data not disclosed in enough detail

Unknown UCR Time Series Anomaly Archive (Hexagon ML/UCR, KDD Cup 2021) · training data not disclosed in enough detail

Unknown Server Machine Dataset (SMD) · training data not disclosed in enough detail

Unknown Mars Science Laboratory (MSL) telemetry anomaly dataset · training data not disclosed in enough detail

Unknown Soil Moisture Active Passive (SMAP) telemetry anomaly dataset · training data not disclosed in enough detail

Unknown Pooled Server Metrics (PSM) · training data not disclosed in enough detail

Unknown Secure Water Treatment (SWaT) · training data not disclosed in enough detail

Unknown Yahoo S5 Labeled Anomaly Detection Dataset (Yahoo Webscope S5) · training data not disclosed in enough detail

Unknown Numenta Anomaly Benchmark (NAB) · training data not disclosed in enough detail

Time-series classification

Unknown UCR Time Series Classification Archive (2018) · training data not disclosed in enough detail

Unknown UEA Multivariate Time Series Classification Archive (2018) · training data not disclosed in enough detail

Notes

Model cards only say it is an updated version of Moirai-1.0-R with ~20% better NMAE on yearly/quarterly Monash data; no paper and no statement of training data. Training on LOTSA is plausible but not stated in any source found.

Sources