Granite Time Series (TinyTimeMixers, PatchTST)
Tiny forecasting models from IBM: they run on an ordinary CPU and sit next to the business system without a separate GPU server.
- Developer
- IBM Research, USA
- First release
- Jan 2024
- Latest release
- Oct 2024
- Sizes
- very small: TinyTimeMixers have about 1M parameters
- License
- Commercial use allowedApache 2.0
- Running
- On your own serverAlso runs without a GPU
- Industries
- Manufacturing and logistics, Retail and marketplaces, Finance, Software development
What it does
- Forecasting sales and warehouse stock
- Forecasting energy use and equipment load
- Fast forecasts right on the company server
Where it is used
Hardware requirements
Versions
- TinyTimeMixers r2
- TinyTimeMixers r1
- granite-timeseries-patchtst
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can Granite Time Series (TinyTimeMixers, PatchTST) be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does Granite Time Series (TinyTimeMixers, PatchTST) need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does Granite Time Series (TinyTimeMixers, PatchTST) support Russian?
Language does not matter for this model: it does not work with text.
Where can I download Granite Time Series (TinyTimeMixers, PatchTST) and what does it cost?
The Granite Time Series (TinyTimeMixers, PatchTST) weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
Amazon forecasting models, among the most downloaded. Chronos-2 takes external factors into account: prices, promotions, weather.
DetailsForecastingTimesFMGoogle · USACommercial use with conditionsA ready-made Google forecasting model: forecasts any time series without training on your data.
DetailsForecastingMOMENTAuton Lab, Carnegie Mellon University · USACommercial use allowedA foundation model for numeric series: one engine is used for forecasting, anomaly detection, filling gaps and classification.
DetailsSource: huggingface.co/ibm-granite/granite-timeseries-ttm-r2. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


