THU-BPM / MarkLLM
[EMNLP 2024 Demo] MarkLLM: An Open-Source Toolkit for LLM Watermarking
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Implementation Framework. MarkLLM provides a unified and extensible platform for the implementation of various LLM watermarking algorithms. It currently supports nine specific algorithms from two prominent families, facilitating the integra
- Visualization Solutions. The toolkit includes custom visualization tools that enable clear and insightful views into how different watermarking algorithms operate under various scenarios. These visualizations help demystify the algorithms'
- Evaluation Module. With 12 evaluation tools that cover detectability, robustness, and impact on text quality, MarkLLM stands out in its comprehensive approach to assessing watermarking technologies. It also features customizable automated e
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 1,093
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 94% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 31 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 94%
- Jupyter Notebook 6%
- Shell <1%
- Cython <1%
Topics
- llm
- toolkit
- watermark
- large-language-models
- safety
- trustworthy-ai
Project record
- JobOther AI tools
- StatusListed
- Commits185
- Forks96
- Watching13
- Stars in 28 days+8
- CreatedMay 16, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026

