time seriesfamily
TimesFM
Google Research time-series foundation model family (1.0, 2.0, 2.5, 3.0).
Levelfamily
Classtime series
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onnot in the notes
Statusactive
Benchmark Results
vendor-reportedindependent
fev-benchtime series
no score in the notes
rank 1
GIFT-Evaltime series
0.456
rank 14 of 143, Leaderboard rebuilt from the published raw results, 143 entries covering all 97 configurations
0.49
00.51
Score in CRPS (geo-mean, normalised to Seasonal Naive). Lower is better.
rank 66 of 143, Leaderboard rebuilt from the published raw results, 143 entries covering all 97 configurations
0.667
Leaderboard rebuilt from the published raw results, 143 entries covering all 97 configurations
0.705
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
25.8
02040
Score in mean CRPS rank. Lower is better.
Toto 2.0 report (Datadog)
no score in the notes
rank 1
TIMEtime series
no score in the notes
rank 1
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).
Lineage
2 members have no release date in the notes, so they are not on this timeline.
TimesFM 3.0 belongs to this familytime series31 Aug 2026330MTimesFM 2.5 belongs to this familytime series2 Sep 2025200MTimesFM 1.0 belongs to this familytime seriesTimesFM 2.0 belongs to this familytime seriesWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.
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
- – 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
- unknown
- Licence
- not in the notes sources
- Access routes
- not in the notes
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.
Industry Use Cases
No industry use case links this model.
Links
DeveloperGooglebig tech, USA
Googlebig tech, USAModelTimesFMGoogle, time series
TimesFMGoogle, 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.Models 4
Organisations 1
Sources
- thenewstack.io/google-timesfm-3-multivariate-forecasting https://thenewstack.io/google-timesfm-3-multivariate-forecasting/
- TimesFM vs Chronos vs Moirai: The Leader's Weights Ban Production beri.net https://www.beri.net/article/timesfm-vs-chronos-vs-moirai-time-series-foundation-model-licence-bigquery-sagemaker-cost-2026
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "TimesFM", https://aurion.semai.id/models/google-timesfm/, records of October 2026.