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README.md

@@ -6,37 +6,31 @@ tags:
 - lazymergekit
 - automerger
 base_model:
-- CorticalStack/shadow-clown-7B-slerp
 - chihoonlee10/T3Q-Mistral-Orca-Math-DPO
 ---
 
 # ShadowT3q-7B
 
 ShadowT3q-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
-* [CorticalStack/shadow-clown-7B-slerp](https://huggingface.co/CorticalStack/shadow-clown-7B-slerp)
 * [chihoonlee10/T3Q-Mistral-Orca-Math-DPO](https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO)
 
 ## 🧩 Configuration
 
 ```yaml
-slices:
-  - sources:
-      - model: CorticalStack/shadow-clown-7B-slerp
-        layer_range: [0, 32]
-      - model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
-        layer_range: [0, 32]
-merge_method: slerp
+models:
+- model: CorticalStack/shadow-clown-7B-slerp
+  # No parameters necessary for base model
+- model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
+  parameters:
+    density: 0.53
+    weight: 0.6
+merge_method: dare_ties
 base_model: CorticalStack/shadow-clown-7B-slerp
 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
 

config.json

@@ -20,7 +20,7 @@
   "sliding_window": 4096,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.39.2",
   "use_cache": true,
   "vocab_size": 32000
 }

mergekit_config.yml

@@ -1,19 +1,14 @@
 
-slices:
-  - sources:
-      - model: CorticalStack/shadow-clown-7B-slerp
-        layer_range: [0, 32]
-      - model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
-        layer_range: [0, 32]
-merge_method: slerp
+models:
+- model: CorticalStack/shadow-clown-7B-slerp
+  # No parameters necessary for base model
+- model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
+  parameters:
+    density: 0.53
+    weight: 0.6
+merge_method: dare_ties
 base_model: CorticalStack/shadow-clown-7B-slerp
 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
-    

model-00001-of-00002.safetensors

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model.safetensors.index.json

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