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# Pantheon-Proto-RP-1.8-30B-A3B
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**Note
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Welcome to the next iteration of my Pantheon model series, in which I strive to introduce a whole collection of diverse personas that can be summoned with a simple activation phrase.
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## Pantheon Personas
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Half of the Pantheon's data was regenerated using Sonnet 3.7 and then rewritten to counter the majority of cliches. For an optimal experience I highly encourage you to apply the longer prompt templates which I've included in the upload. Make sure to describe yourself as well!
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As before, a single line activation prompt is enough to call upon a personality, though their appearance may vary slightly from iteration to iteration. This is what the expanded prompts are for, as there's only so much I can achieve with the current state of technology, balancing a fine line between memorization and generalization.
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# Pantheon-Proto-RP-1.8-30B-A3B
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**Note:** This model is a Qwen 30B MoE prototype and can be considered a sidegrade from [my Small release](https://huggingface.co/Gryphe/Pantheon-RP-1.8-24b-Small-3.1) some time ago. It did not receive extensive testing beyond a couple benchmarks to determine its sanity, so feel free to let me know what you think of it!
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Welcome to the next iteration of my Pantheon model series, in which I strive to introduce a whole collection of diverse personas that can be summoned with a simple activation phrase.
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## Pantheon Personas
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**Note:** This release excludes Raza and Xala as their personalities did not give a distinct enough training signal to my liking.
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Half of the Pantheon's data was regenerated using Sonnet 3.7 and then rewritten to counter the majority of cliches. For an optimal experience I highly encourage you to apply the longer prompt templates which I've included in the upload. Make sure to describe yourself as well!
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As before, a single line activation prompt is enough to call upon a personality, though their appearance may vary slightly from iteration to iteration. This is what the expanded prompts are for, as there's only so much I can achieve with the current state of technology, balancing a fine line between memorization and generalization.
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