Forecasting

Lag-Llama

One of the first open out-of-the-box forecasting models. Tiny, gives a probabilistic forecast, now behind Chronos and TimesFM.

The last open version came out in Feb 2024. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer
ServiceNow, Mila and partners, Canada
First release
Feb 2024
Latest release
Feb 2024
Sizes
2.4M
License
Commercial use allowedApache 2.0
Running
On your own serverAlso runs without a GPU
Industries
Finance, Science and research
Deploy on your server Hugging Face GitHub

What it does

  • Probabilistic sales forecast
  • Quick forecasting pilots
  • Baseline model for comparison

Where it is used

AnalyticsRetailFinance

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. Lag-Llama

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 Lag-Llama 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 Lag-Llama 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 Lag-Llama support Russian?

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

Where can I download Lag-Llama and what does it cost?

The Lag-Llama 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.

Similar models

ForecastingChronosAmazon · USACommercial use allowed

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

DetailsForecastingTimesFMGoogle · USACommercial use with conditions

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

Details

Source: huggingface.co/time-series-foundation-models/Lag-Llama. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.