time series
Granite TimeSeries TTM r3
Third generation of IBM's TinyTimeMixer forecasting models, for fast zero-shot and few-shot forecasting in production.
Levelmodel
Classtime series
Parametersnot in the notes
Contextnot in the notes
Released21 May 2026
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Lineage
successor
Granite TinyTimeMixer (TTM) r2.1 is the parent (successor)medium confidencemodel cardWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 3 models. 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
- MoE Mixture of experts over tiny models of varying complexity (model card)
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- Experts of 1M to 35M parameters, Lite 1M to 18M (model card).
- 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.
Benchmark Results
The notes record no benchmark result for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperIBMbig tech, USA
IBMbig tech, USAModelGranite TimeSeries TTM r3IBM, time series
Granite TimeSeries TTM r3IBM, time seriesR&D TopicsDeep Learning Architectures for Time-Series Forecasting and ClassificationTime-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
- huggingface.co/ibm-granite/granite-timeseries-ttm-r3 https://huggingface.co/ibm-granite/granite-timeseries-ttm-r3
- huggingface.co/api/models?pipeline_tag=time-series-forecasti... https://huggingface.co/api/models?pipeline_tag=time-series-forecasting&sort=downloads&limit=50
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Granite TimeSeries TTM r3", https://aurion.semai.id/models/ibm-granite-ttm-r3/, records of October 2026.