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@@ -22,6 +22,7 @@ This is a merge of pre-trained language models created using [mergekit](https://
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  This is more like a v2b, as I got the feedback that the output was boring. I agree, so I tuned up the parameters. I really like the base models by themselves, yet I tuned the parameters too low in v2 to introduce the 'spice' of more creative models. If your experience with this model is negative, try and compare it with v2. This model isn't supposed to be inherently better, just an alternative. Untested right now, as I'm working on new intriguing merges.
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  ## Merge Details
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  ### Merge Method
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  This is more like a v2b, as I got the feedback that the output was boring. I agree, so I tuned up the parameters. I really like the base models by themselves, yet I tuned the parameters too low in v2 to introduce the 'spice' of more creative models. If your experience with this model is negative, try and compare it with v2. This model isn't supposed to be inherently better, just an alternative. Untested right now, as I'm working on new intriguing merges.
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+ Ninth model.
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  ## Merge Details
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  ### Merge Method
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