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Model: arcee-ai/Saul-Instruct-Clown-7b
Source: Original Platform

README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- CorticalStack/pastiche-crown-clown-7b-dare-dpo
+- Equall/Saul-Instruct-v1
+---
+
+![image/webp](https://cdn.prod.arcee.ai/images/saul-calme.jpeg)
+
+# Saul-Instruct-Clown-7b
+
+Saul-Instruct-Clown-7b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [CorticalStack/pastiche-crown-clown-7b-dare-dpo](https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare-dpo)
+* [Equall/Saul-Instruct-v1](https://huggingface.co/Equall/Saul-Instruct-v1)
+
+## 🏆 Evaluation
+
+### OpenLLM
+
+Saul-Instruct-Clown-7b OpenLLM benchmark suite
+
+| Model | Average | arc | HellaSwag | mmlu | TruthfulQA | gsm8k |
+|---|---:|---:|---:|---:|---:|---:|
+| [arcee-ai/Saul-Instruct-Clown-7b](https://huggingface.co/arcee-ai/Saul-Instruct-Clown-7b/) | 72.79 | 68.26 | 86.28 | 63.12 | 64.68 | 83.43 | 70.96 |
+
+
+## 🧩 Configuration
+
+```yaml
+  slices:
+    - sources:
+        - model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
+          layer_range: [0, 32]
+        - model: Equall/Saul-Instruct-v1
+          layer_range: [0, 32]
+  merge_method: slerp
+  base_model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
+  parameters:
+    t:
+      - filter: self_attn
+        value: [0, 0.5, 0.3, 0.7, 1]
+      - filter: mlp
+        value: [1, 0.5, 0.7, 0.3, 0]
+      - value: 0.5
+  dtype: bfloat16
+
+```