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README.md

@@ -6,28 +6,34 @@ tags:
 - lazymergekit
 - automerger
 base_model:
+- rwitz/experiment26-truthy-iter-0
 - CorticalStack/shadow-clown-7B-slerp
 ---
 
 # Experiment26Shadow-7B
 
 Experiment26Shadow-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
+* [rwitz/experiment26-truthy-iter-0](https://huggingface.co/rwitz/experiment26-truthy-iter-0)
 * [CorticalStack/shadow-clown-7B-slerp](https://huggingface.co/CorticalStack/shadow-clown-7B-slerp)
 
 ## 🧩 Configuration
 
 ```yaml
-models:
-- model: rwitz/experiment26-truthy-iter-0
-  # No parameters necessary for base model
-- model: CorticalStack/shadow-clown-7B-slerp
-  parameters:
-    density: 0.53
-    weight: 0.6
-merge_method: dare_ties
+slices:
+  - sources:
+      - model: rwitz/experiment26-truthy-iter-0
+        layer_range: [0, 32]
+      - model: CorticalStack/shadow-clown-7B-slerp
+        layer_range: [0, 32]
+merge_method: slerp
 base_model: rwitz/experiment26-truthy-iter-0
 parameters:
-int8_mask: true
+  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
 random_seed: 0
     ```

config.json

@@ -20,7 +20,7 @@
   "sliding_window": 4096,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.39.1",
   "use_cache": true,
   "vocab_size": 32000
 }

mergekit_config.yml

@@ -1,15 +1,19 @@
 
-models:
-- model: rwitz/experiment26-truthy-iter-0
-  # No parameters necessary for base model
-- model: CorticalStack/shadow-clown-7B-slerp
-  parameters:
-    density: 0.53
-    weight: 0.6
-merge_method: dare_ties
+slices:
+  - sources:
+      - model: rwitz/experiment26-truthy-iter-0
+        layer_range: [0, 32]
+      - model: CorticalStack/shadow-clown-7B-slerp
+        layer_range: [0, 32]
+merge_method: slerp
 base_model: rwitz/experiment26-truthy-iter-0
 parameters:
-int8_mask: true
+  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
 random_seed: 0
     

model-00001-of-00002.safetensors

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model.safetensors.index.json

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