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Model: CorticalStack/pastiche-crown-clown-7b-dare
Source: Original Platform

README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- bardsai/jaskier-7b-dpo-v5.6
+- mlabonne/AlphaMonarch-7B
+- mlabonne/NeuralMonarch-7B
+- macadeliccc/MBX-7B-v3-DPO
+---
+
+<img src="pastiche-crown-clown.png" alt="Pastiche crown clown logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
+
+# pastiche-crown-clown-7B-dare
+
+pastiche-crown-clown-7B-dare is a DARE merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [bardsai/jaskier-7b-dpo-v5.6](https://huggingface.co/bardsai/jaskier-7b-dpo-v5.6)
+* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
+* [mlabonne/NeuralMonarch-7B](https://huggingface.co/mlabonne/NeuralMonarch-7B)
+* [macadeliccc/MBX-7B-v3-DPO](https://huggingface.co/macadeliccc/MBX-7B-v3-DPO)
+
+See the paper [Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch](https://arxiv.org/abs/2311.03099) for more on the method.
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: bardsai/jaskier-7b-dpo-v5.6
+  - model: mlabonne/AlphaMonarch-7B
+    parameters:
+      density: 0.53
+      weight: 0.2
+  - model: mlabonne/NeuralMonarch-7B
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: macadeliccc/MBX-7B-v3-DPO
+    parameters:
+      density: 0.53
+      weight: 0.4
+merge_method: dare_ties
+base_model: bardsai/jaskier-7b-dpo-v5.6
+parameters:
+  int8_mask: true
+dtype: bfloat16
+```