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README.md

@@ -3,37 +3,38 @@ tags:
 - merge
 - mergekit
 - lazymergekit
-- OpenPipe/mistral-ft-optimized-1218
-- mlabonne/NeuralHermes-2.5-Mistral-7B
+- samir-fama/SamirGPT-v1
+- abacusai/Slerp-CM-mist-dpo
 base_model:
-- OpenPipe/mistral-ft-optimized-1218
-- mlabonne/NeuralHermes-2.5-Mistral-7B
+- samir-fama/SamirGPT-v1
+- abacusai/Slerp-CM-mist-dpo
 ---
 
 # NeuralPipe-7B-slerp
 
 NeuralPipe-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
-* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
+* [samir-fama/SamirGPT-v1](https://huggingface.co/samir-fama/SamirGPT-v1)
+* [abacusai/Slerp-CM-mist-dpo](https://huggingface.co/abacusai/Slerp-CM-mist-dpo)
 
 ## 🧩 Configuration
 
 ```yaml
-slices:
-  - sources:
-      - model: OpenPipe/mistral-ft-optimized-1218
-        layer_range: [0, 32]
-      - model: mlabonne/NeuralHermes-2.5-Mistral-7B
-        layer_range: [0, 32]
-merge_method: slerp
-base_model: OpenPipe/mistral-ft-optimized-1218
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # No parameters necessary for base model
+  - model: samir-fama/SamirGPT-v1
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: abacusai/Slerp-CM-mist-dpo
+    parameters:
+      density: 0.53
+      weight: 0.3
+
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
 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
 ```