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README.md

@@ -3,38 +3,31 @@ tags:
 - merge
 - mergekit
 - lazymergekit
-- timpal0l/Mistral-7B-v0.1-flashback-v2
 - mlabonne/NeuralBeagle14-7B
 base_model:
-- timpal0l/Mistral-7B-v0.1-flashback-v2
 - mlabonne/NeuralBeagle14-7B
 ---
 
 # NeuralBeagle-Flashback
 
 NeuralBeagle-Flashback is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [timpal0l/Mistral-7B-v0.1-flashback-v2](https://huggingface.co/timpal0l/Mistral-7B-v0.1-flashback-v2)
 * [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
 
 ## 🧩 Configuration
 
 ```yaml
-slices:
-  - sources:
-      - model: timpal0l/Mistral-7B-v0.1-flashback-v2
-        layer_range: [0, 32]
-      - model: mlabonne/NeuralBeagle14-7B
-        layer_range: [0, 32]
-merge_method: slerp
-base_model: timpal0l/Mistral-7B-v0.1-flashback-v2
-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
+  models:
+    - model: timpal0l/Mistral-7B-v0.1-flashback-v2
+      # No parameters necessary for base model
+    - model: mlabonne/NeuralBeagle14-7B
+      parameters:
+        density: 0.53
+        weight: 0.6
+  merge_method: dare_ties
+  base_model: timpal0l/Mistral-7B-v0.1-flashback-v2
+  parameters:
+    int8_mask: true
+  dtype: bfloat16
 ```
 
 ## 💻 Usage