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MarkLLM
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MarkLLM

[EMNLP 2024 Demo] MarkLLM: An Open-Source Toolkit for LLM Watermarking

by THU-BPM · GitHub
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large-language-modelsllmsafetyApache-2.0Python
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Contribute to a toolkit that helps add watermarks to text generated by large language models.

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1.1k1.0k
2026-07-202026-08-31
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📄 About

[EMNLP 2024 Demo] MarkLLM: An Open-Source Toolkit for LLM Watermarking

MarkLLM has 1.1k stars on GitHub. It has been forked 94 times. MarkLLM is written mainly in Python. It has been in active development since 2024. MarkLLM is available under the Apache-2.0 license. Its main topics are large-language-models, llm, safety, toolkit.

Frequently asked questions

What is MarkLLM?

[EMNLP 2024 Demo] MarkLLM: An Open-Source Toolkit for LLM Watermarking

Is MarkLLM open source?

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

Is MarkLLM free?

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

What license does MarkLLM use?

MarkLLM is available under the Apache-2.0 license.

What language is MarkLLM written in?

MarkLLM is written mainly in Python.

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