Praetor is a dataset exploration tool. It is made for LLM finetuning data and prompts.


Praetor is a super lightweight finetuning data and prompt management tool. The setup requirements are minimal, and so is the complexity.

In general, the system works like this: you start with a Project. A project has associated with it some prompt styles, which define format strings for the prompts. You can then add prompts in a particular style and then one or more completions to those prompts. When you’re done editing prompts or completions, you can export that data in a json format. You can also import data in the same format.

Thus the hierarchy goes:


First, it is recommended that you use a virtual environment if you do not already have one set up for your project. You’ll need to install the requirements in any case (it’s just Flask!):

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Then you will need to initialize the database using

And then run the server:


This software is distributed under a non-commercial license, but if you would like to use it in a commercial setting, just open an issue or shoot an email to and ask.


Everyone should feel free to open an issue if you have any comments, questions, or suggestions.

Pull requests should be submitted to the development branch. Please do not make additions to the requirements unless they are necessary. Frontend frameworks are not necessary. The frontend should be as simple and functional as possible.

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By |2023-04-12T15:43:20+00:00April 12, 2023|Life and Health|0 Comments

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