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README.md
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tags:
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- mergekit
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- merge
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---
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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dtype: bfloat16
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parameters:
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t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
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```
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tags:
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- mergekit
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- merge
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license: cc-by-nc-4.0
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---
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# Intent
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The intent was to combine the excellent LemonadeRP-4.5.3 with WizardLM-2 in order to produce more effective uncensored content. While WizardLM-2 wouldn't balk at uncensored content, it would still falter in actually producing it whereas LemonadeRP didn't have this issue. The results are pretty good imo. There's a problem that if your response length is too long it will start to speak for the user but those usually disappear on swipes.
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I had originally not intended to release this model and instead keep it private. It's my first foray into doing merges at all and I didn't want to release a subpar model. However, after encouragement I've decided to unprivate it. Hope you all get some enjoyment out of it.
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# Prompt - Alpaca
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Using the Alpaca prompt seems to get good results.
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# Context Size - 8192
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Haven't tested beyond this. Usual rule of thumb is that once you get up to 12k your responses tend to become less coherent and 16k is where things just devolve completely.
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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dtype: bfloat16
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parameters:
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t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
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```
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