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Time-LLM
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Time-LLM

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

by KimMeen · GitHub
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cross-modal-learningcross-modalitydeep-learningApache-2.0Python
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Use Time-LLM to predict future trends based on past data using advanced language models.

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2.69k2.67k
2026-07-072026-08-31
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[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

Time-LLM has 2.7k stars on GitHub. It has been forked 465 times. Time-LLM is written mainly in Python. It has been in active development since 2024. Time-LLM is available under the Apache-2.0 license. Its main topics are cross-modal-learning, cross-modality, deep-learning, language-model.

Frequently asked questions

What is Time-LLM?

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

Is Time-LLM open source?

Time-LLM is an open-source project. It is released under the Apache-2.0 license.

Is Time-LLM free?

Yes. Time-LLM is free and open source — you can use, modify and self-host it.

What license does Time-LLM use?

Time-LLM is available under the Apache-2.0 license.

What language is Time-LLM written in?

Time-LLM is written mainly in Python.

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