Upload folder using huggingface_hub

README.md

@@ -6,37 +6,31 @@ tags:
 - lazymergekit
 - automerger
 base_model:
-- liminerity/M7-7b
-- Kukedlc/NeuralSynthesis-7B-v0.1
+- Kukedlc/NeuralSynthesis-7B-v0.3
 ---
 
 # M7Neuralsynthesis-7B
 
 M7Neuralsynthesis-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
-* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
-* [Kukedlc/NeuralSynthesis-7B-v0.1](https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.1)
+* [Kukedlc/NeuralSynthesis-7B-v0.3](https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.3)
 
 ## 🧩 Configuration
 
 ```yaml
-slices:
-  - sources:
-      - model: liminerity/M7-7b
-        layer_range: [0, 32]
-      - model: Kukedlc/NeuralSynthesis-7B-v0.1
-        layer_range: [0, 32]
-merge_method: slerp
+models:
+- model: liminerity/M7-7b
+  # No parameters necessary for base model
+- model: Kukedlc/NeuralSynthesis-7B-v0.3
+  parameters:
+    density: 0.53
+    weight: 0.6
+merge_method: dare_ties
 base_model: liminerity/M7-7b
 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
+int8_mask: true
 dtype: bfloat16
 random_seed: 0
-    ```
+```
 
 ## 💻 Usage