Forecasting

TimesFM

A ready-made Google forecasting model: forecasts any time series without training on your data.

Developer
Google, USA
First release
May 2024
Latest release
Aug 2026
Sizes
200M – 500M
License
Commercial use with conditionsVersions 1.0 to 2.5: Apache 2.0; TimesFM 3.0: non-commercial license
Running
On your own serverAlso runs without a GPU
Industries
Finance, Retail and marketplaces, Manufacturing and logistics
Deploy on your server Hugging Face GitHub

What it does

  • Sales and demand forecasting
  • Purchase and inventory planning
  • Load and traffic forecasting

Where it is used

RetailLogistics and warehousesEnergy

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. TimesFM 3.0
  2. TimesFM 2.5
  3. TimesFM 2.0
  4. TimesFM 1.0

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

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 TimesFM be used in a commercial project?

With conditions. License: Versions 1.0 to 2.5: Apache 2.0; TimesFM 3.0: non-commercial license. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does TimesFM 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 TimesFM support Russian?

Language does not matter for this model: it does not work with text.

Where can I download TimesFM and what does it cost?

The TimesFM 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

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Comparisons

Similar models

ForecastingChronosAmazon · USACommercial use allowed

Amazon forecasting models, among the most downloaded. Chronos-2 takes external factors into account: prices, promotions, weather.

DetailsForecastingTotoDatadog · USACommercial use allowed

A Datadog forecasting model trained on server and application metrics. Especially strong for IT monitoring: load, latency, errors.

DetailsForecastingTiRexNXAI · AustriaCommercial use allowed

A compact forecasting model on the xLSTM architecture, a leader in open benchmarks despite its small size. Runs fast on a regular CPU.

Details

Source: huggingface.co/google/timesfm-3.0-pytorch. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.