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README.md
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---
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license: cc-by-nc-4.0
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language:
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- en
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---
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A roleplay-based model intended for multiple AI characters / group based roleplaying sessions.
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This is an experimental model, trained entirely off of purely human data, none from LLMs or AI Models. Data taken is from roleplaying forum scrapes and more, etc.
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Built off of Llama-3-Instruct.
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This is a Test / Alpha model. A proof of concept.
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Make sure to adapt your cards to a group-chat friendly style?
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---
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Training Details:
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```
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- Uses L3-Instruct Format.
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- One designated user per entry is the GPT-turn, while all other characters are different, assigned Human-turns, if not Axolotl does a fit.
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# I am experimenting with doing the opposite too, having all but 1 be GPT-turns.
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- Unique Characters per entry vary from 2-5 Characters usually.
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- There is roughly only ~3K sample entries.
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- May not be the smartest due to all samples being roleplay / conversational data.
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```
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---
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Potential Issues:
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```
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- 1 on 1 RP Performance might be Affected as focus is solely on group chats.
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- The names may be multiple tokens instead of one token as they replace User / Assistant -> May Affect Output Quality -> Another Idea is in the works.
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- Dataset Quality? While it is filtered, a few times... there's still the occasional low quality in there. I have not gone through a manual pass, this is a proof of concept.
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```
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SillyTavern Settings:
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```
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Llama-3-Instruct-With-Names -->>>> Remove the Brackets in `[{{name}}]` or `[{{char}}]` or `[{{user}}]` within the instruction template to match the format used for training.
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```
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