maid-yuzu-v8 This is a merge of pre-trained language models created using mergekit.
v7's approach worked better than I thought, so I tried something even weirder as a test. I don't think a proper model will come out, but I'm curious about the results.
Merge Details Merge Method This models were merged using the SLERP method in the following order:
maid-yuzu-v8-base: mistralai/Mixtral-8x7B-v0.1 + mistralai/Mixtral-8x7B-Instruct-v0.1 = 0.5 maid-yuzu-v8-step1: above + jondurbin/bagel-dpo-8x7b-v0.2 = 0.25 maid-yuzu-v8-step2: above + cognitivecomputations/dolphin-2.7-mixtral-8x7b = 0.25 maid-yuzu-v8-step3: above + NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss = 0.25 maid-yuzu-v8-step4: above + ycros/BagelMIsteryTour-v2-8x7B = 0.25 maid-yuzu-v8: above + smelborp/MixtralOrochi8x7B = 0.25