---
license: apache-2.0
tags:
- time series
- forecasting
- pretrained models
- foundation models
- time series foundation models
---
# Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Lag-Llama is the first open-source foundation model for time series forecasting!
Tweet Thread: https://twitter.com/arjunashok37/status/1755261111233114165
HuggingFace: https://huggingface.co/time-series-foundation-models/Lag-Llama
Colab Demo: https://colab.research.google.com/drive/13HHKYL_HflHBKxDWycXgIUAHSeHRR5eo?usp=sharing
GitHub: https://github.com/time-series-foundation-models/lag-llama
Paper: https://time-series-foundation-models.github.io/lag-llama.pdf
arXiv has a previous outdated version of the paper and is still being updated with the latest version; please use the above link to access the latest version.
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This HuggingFace model houses the pretrained checkpoint of Lag-Llama.
Current Features:
💫 Zero-shot forecasting on a dataset of any frequency for any prediction length, using the Colab Demo.
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Coming Soon:
⭐ An online gradio demo where you can upload time series and get zero-shot predictions.
⭐ Features for finetuning the foundation model
⭐ Features for pretraining Lag-Llama on your own large-scale data
⭐ Scripts to reproduce all results in the paper.
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Stay Tuned!🦙