Levelvariant
Classtime series
Parameters2.5B
Contextnot in the notes
Released5 Jun 2026
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Benchmark Results
vendor-reportedindependent
GIFT-Evaltime series
zero-shot foundation-model CRPS rank, lower is bettervendor-reported
20.3
02040
Score in mean CRPS rank. Lower is better.
Toto 2.0 report (Datadog)
pretrainedindependentno test-data leakage
0.696
00.71.4
Score in MASE (geo-mean, normalised to Seasonal Naive). Lower is better.
Leaderboard rebuilt from the published raw results, 143 entries covering all 97 configurations
pretrained; rank is average CRPS rankindependentno test-data leakage
0.476
00.51
Score in CRPS (geo-mean, normalised to Seasonal Naive). Lower is better.
rank 50 of 143, Leaderboard rebuilt from the published raw results, 143 entries covering all 97 configurations
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
R&D Topics
Identity
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- dense transformer
- Total parameters
- 2.5B sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- time series
- Output
- time series
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- Apache License 2.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperDatadogcompany, USA
Datadogcompany, USAModelToto 2.0 2.5BDatadog, time series
Toto 2.0 2.5BDatadog, time seriesR&D TopicsTime-Series Foundation Models
Use CasesIndustrial Forecasting (Load, Throughput, Demand)IndustrialDemand ForecastingRetail and LogisticsAnomaly Detection on Sensor, SCADA and Historian DataIndustrialEnergy OptimisationIndustrial+1 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026
PT Pertamina Hulu Rokan (PHR)In production, 17 Oct 2025MIND IDResearch, 14 Oct 2025
Shenzhen Energy GroupIn production, 23 Jun 2025+4 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026PT Pertamina Hulu Rokan (PHR)In production, 17 Oct 2025MIND IDResearch, 14 Oct 2025Shenzhen Energy GroupIn production, 23 Jun 2025+4 moreDeployments of these use cases; none names this model.Organisations 1
Sources
- arxiv.org/pdf/2605.20119 https://arxiv.org/pdf/2605.20119
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Toto 2.0 2.5B", https://aurion.semai.id/models/datadog-toto-2-0-2-5b/, records of October 2026.