I've managed a #1 score of 41.22% average for 14B parameter models on the Open LLM Leaderboard.  As of this writing, sometimesanotion/Lamarck-14B-v0.7  is #8 for all models up to 70B parameters.
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I've managed a #1 score of 41.22% average for 14B parameter models on the Open LLM Leaderboard.  As of this writing, sometimesanotion/Lamarck-14B-v0.7  is #8 for all models up to 70B parameters.
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It took a custom toolchain around Arcee AI's mergekit to manage the complex merges, gradients, and LoRAs required to make this happen.  I really like seeing features of many quality finetunes in one solid generalist model.
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It took a custom toolchain around Arcee AI's mergekit to manage the complex merges, gradients, and LoRAs required to make this happen.  I really like seeing features of many quality finetunes in one solid generalist model.
I've managed a #1 score of 41.22% average for 14B parameter models on the Open LLM Leaderboard.  As of this writing, sometimesanotion/Lamarck-14B-v0.7  is #8 for all models up to 70B parameters.

It took a custom toolchain around Arcee AI's mergekit to manage the complex merges, gradients, and LoRAs required to make this happen.  I really like seeing features of many quality finetunes in one solid generalist model.
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CultriX Reithan
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Şuayp Talha Kocabay
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sometimesanotion
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Safwan Usaid Lubdhak
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CultriX
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