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@@ -14,7 +14,7 @@ This is a merge of pre-trained language models created using [mergekit](https://
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  An asymmetric gradient SLERP was used to lightly apply MN-12B-Mag-Mell-R1 to Magnolia-v3-12B.
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- Tested for narrative text completion with temperature=1.0 and minP=0.02. Coherence is fairly high, though there may be occasional slips. Uf repetition is a problem, raising temperature briefly may help. The model appears to tolerate temperature=2.0 even.
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  ## Merge Details
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  ### Merge Method
 
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  An asymmetric gradient SLERP was used to lightly apply MN-12B-Mag-Mell-R1 to Magnolia-v3-12B.
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+ Tested for narrative text completion with temperature=1.0 and minP=0.02. Coherence is fairly high, though there may be occasional slips. If repetition is a problem, raising temperature briefly may help. The model appears to tolerate temperature=2.0 even.
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  ## Merge Details
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  ### Merge Method