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README.md

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+---
+base_model:
+- smelborp/MixtralOrochi8x7B
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# maid-yuzu-v8
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/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
+
+### Models Merged
+
+The following models were included in the merge:
+* [smelborp/MixtralOrochi8x7B](https://huggingface.co/smelborp/MixtralOrochi8x7B)
+* ../maid-yuzu-v8-step4
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model:
+  model:
+    path: ../maid-yuzu-v8-step4
+dtype: bfloat16
+merge_method: slerp
+parameters:
+  t:
+  - value: 0.25
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: ../maid-yuzu-v8-step4
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: smelborp/MixtralOrochi8x7B
+```

maid-yuzu-v8.Q4_0.gguf

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