Forecasting

TiRex

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

Developer
NXAI, Austria
First release
May 2025
Latest release
Jun 2026
Sizes
about 35M to 82M
License
Commercial use allowedTiRex-2: Apache 2.0; first version: NXAI Community License
Running
On your own serverAlso runs without a GPU
Industries
Finance, Manufacturing and logistics, Retail and marketplaces
Deploy on your server Hugging Face GitHub

What it does

  • Demand and sales forecasting
  • Energy consumption forecasting
  • Forecasts on modest hardware and on site

Where it is used

ManufacturingEnergyRetail

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
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. TiRex-2
  2. TiRex 1.1
  3. TiRex

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 TiRex be used in a commercial project?

Yes. License: TiRex-2: Apache 2.0; first version: NXAI Community License. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does TiRex 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 TiRex support Russian?

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

Where can I download TiRex and what does it cost?

The TiRex 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.

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Details

Source: huggingface.co/NX-AI/TiRex-2. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.