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@@ -18,11 +18,11 @@ Pantheon Roleplay is a model that has been in the making for almost six months a
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  This model features a diverse collection of datasets, totaling ~20 million tokens;
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  - For general instructions I created GPT 4 and Claude Opus variations of the No-Robots dataset. I actually ended up not including NoRo itself as it made the model worse.
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- - For roleplay I have an extensive collection of GPT 4 and Claude Opus data, further augmented by the always popular LimaRP for the "human factor".
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  - The Pantheon Roleplay personas were made using Claude 1.3 data, further diversifying the outputs of this model.
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  - Aiva's persona is augmented with datasets featuring questions related to DM world building, Python coding and RSS summarization. (She summarizes my daily news every day!)
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- Roughly 25% of the training data was instructional, with the rest being focused on roleplay. Each of these datasets was then carefully balanced to ensure diversity, removing less diverse examples if deemed necessary.
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  **TLDR;** Download. ChatML prompt format. Have fun! Leave feedback!
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  This model features a diverse collection of datasets, totaling ~20 million tokens;
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  - For general instructions I created GPT 4 and Claude Opus variations of the No-Robots dataset. I actually ended up not including NoRo itself as it made the model worse.
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+ - For roleplay I used an extensive collection of GPT 4 and Claude Opus data, further augmented by the always popular LimaRP for the "human factor".
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  - The Pantheon Roleplay personas were made using Claude 1.3 data, further diversifying the outputs of this model.
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  - Aiva's persona is augmented with datasets featuring questions related to DM world building, Python coding and RSS summarization. (She summarizes my daily news every day!)
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+ Roughly 25% of the training data was instructional, with the rest being focused on roleplay. Each of these datasets was then carefully balanced to ensure diversity, removing examples where deemed necessary.
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  **TLDR;** Download. ChatML prompt format. Have fun! Leave feedback!
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