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Update README.md

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First draft of comparison table

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  ---
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  base_model:
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  - Nexusflow/Athene-V2-Chat
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- - EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
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  library_name: transformers
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  tags:
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  - mergekit
@@ -22,6 +22,50 @@ This model is uncensored. *You are responsible for whatever you do with it.*
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  This model was designed for roleplaying and storytelling and I think it does well at both. It may also perform well at other tasks but I have not tested its performance in other areas.
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  # Sampler Tips
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  * I recommend using Min-P. Experiment to find your best setting. Values between 0.02 and 0.1 are typically good.
 
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  ---
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  base_model:
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  - Nexusflow/Athene-V2-Chat
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+ - EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2
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  library_name: transformers
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  tags:
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  - mergekit
 
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  This model was designed for roleplaying and storytelling and I think it does well at both. It may also perform well at other tasks but I have not tested its performance in other areas.
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+ # Evathene Versions Comparison TAble
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+ <table>
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+ <tr>
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+ <td>
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+ <strong>Model Version</strong>
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+ </td>
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+ <td>
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+ <strong>Description</strong>
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+ </td>
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+ </tr>
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+ <tr>
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+ <td>
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+ Evathene-v1.0
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+ </td>
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+ <td>
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+ The original Evathene release based on Athene-V2-Chat and EVA-Qwen2.5-72B-v0.1.
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+ </td>
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+ </tr>
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+ <tr>
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+ <td>
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+ Evathene-v1.1
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+ </td>
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+ <td>
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+ Updated Evathene release based on Athene-V2-Chat and EVA-Qwen2.5-72B-v0.2. Uses the same recipe as v0.1 but I think it came out a litte better thanks to EVA-v0.2.
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+ </td>
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+ </tr>
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+ <tr>
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+ <td>
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+ Evathene-v1.2
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+ </td>
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+ <td>
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+ A merge of Evathene-v1.1 with Evathene-v1.4. It combines the best of both models and is the version I would recommend for most use cases.
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+ </td>
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+ </tr>
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+ <tr>
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+ <td>
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+ Evathene-v1.4
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+ </td>
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+ <td>
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+ Evathene based on Athene-V2-Chat and EVA-Qwen2.5-72B-v0.1, but I inverted their relationship in the recipe used for v1.0. The result was a model that has a lot of personality and was too much fun to ignore, even though it may be harder to steer than other versions.
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+ </td>
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+ </tr>
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+ </table>
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+
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  # Sampler Tips
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  * I recommend using Min-P. Experiment to find your best setting. Values between 0.02 and 0.1 are typically good.