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README.md

@@ -1,13 +1,12 @@
 ---
 base_model:
-- VAGOsolutions/SauerkrautLM-Gemma-7b
 - google/codegemma-7b
 - google/gemma-7b
 library_name: transformers
 tags:
 - mergekit
 - merge
-license: mit
+
 ---
 # dare_linear
 
@@ -21,7 +20,6 @@ This model was merged using the linear [DARE](https://arxiv.org/abs/2311.03099)
 ### Models Merged
 
 The following models were included in the merge:
-* [VAGOsolutions/SauerkrautLM-Gemma-7b](https://huggingface.co/VAGOsolutions/SauerkrautLM-Gemma-7b)
 * [google/codegemma-7b](https://huggingface.co/google/codegemma-7b)
 
 ### Configuration
@@ -31,17 +29,20 @@ The following YAML configuration was used to produce this model:
 ```yaml
 models:
   - model: google/gemma-7b
-  - model: google/codegemma-7b
     parameters:
       density: 0.5
       weight: 0.5
-  - model: VAGOsolutions/SauerkrautLM-Gemma-7b
+  - model: google/codegemma-7b
     parameters:
       density: 0.5
       weight: 0.5
+  # - model: VAGOsolutions/SauerkrautLM-Gemma-7b
+  #   parameters:
+  #     density: 0.5
+  #     weight: 0.5
 merge_method: dare_linear
 base_model: google/gemma-7b
 parameters:
   int8_mask: true
 dtype: bfloat16
-```
+```

mergekit_config.yml

@@ -1,13 +1,16 @@
 models:
   - model: google/gemma-7b
-  - model: google/codegemma-7b
     parameters:
       density: 0.5
       weight: 0.5
-  - model: VAGOsolutions/SauerkrautLM-Gemma-7b
+  - model: google/codegemma-7b
     parameters:
       density: 0.5
       weight: 0.5
+  # - model: VAGOsolutions/SauerkrautLM-Gemma-7b
+  #   parameters:
+  #     density: 0.5
+  #     weight: 0.5
 merge_method: dare_linear
 base_model: google/gemma-7b
 parameters:

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