sentence2danboorutags-qlora-2k

Qlora for openchat-3.5-1210 which allows you to convert a given model sentence into a set of danbooru tags format: openChat train format: Alpaca

This is the first time I have had this lora done and I am quite happy with the result. This qlora was trained on 4bit full model openchat-3.5-1210. with rank of 32 for 3 epochs There were 2k instructions in the dataset that had examples of how to convert from sentences to tags.

I use a this prompt, I'm not sure if it's optimal but maybe you can do better

You must follow this rules:
- If a character is alone, add the "solo" tag.
- Describe physical attributes such as hair color or clothing (e.g., "pink hair," "gothic lolita fashion").
- Describe actions of characters if any (e.g., “playing violin,” “studying”).
- Mention setting details like location and background objects (e.g.,”music room”, “classical instruments”).
- Keep each tag separated by a comma.
- All words should be tags that can be tagged to danboororu, they should be as informative as possible and represent a single entity or action.
- From the verbs, select words that can denote place
- Always start with the number of characters and their gender (e.g., "1girl," "3boys").
- If a person is described by a noun, e.g. "Beautiful girl", then we should distinguish as follows: 1girl, beautiful.
- In output can be only girl(s) or boy(s) there's a human there, if the scenery can be left out.
- Answer only on English

You have to convert user input into danbooru tags

I use with the openchat-3.5-1210-4.0bwp model.