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README.md CHANGED
@@ -6,37 +6,31 @@ tags:
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  - lazymergekit
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  - automerger
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  base_model:
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- - yam-peleg/Experiment27-7B
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- - CorticalStack/pastiche-crown-clown-7b-dare
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  ---
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  # Experiment27Pastiche-7B
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  Experiment27Pastiche-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
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- * [yam-peleg/Experiment27-7B](https://huggingface.co/yam-peleg/Experiment27-7B)
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- * [CorticalStack/pastiche-crown-clown-7b-dare](https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare)
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  ## 🧩 Configuration
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  ```yaml
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- slices:
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- - sources:
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- - model: yam-peleg/Experiment27-7B
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- layer_range: [0, 32]
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- - model: CorticalStack/pastiche-crown-clown-7b-dare
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- layer_range: [0, 32]
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- merge_method: slerp
 
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  base_model: yam-peleg/Experiment27-7B
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  parameters:
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- t:
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- - filter: self_attn
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- value: [0, 0.5, 0.3, 0.7, 1]
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- - filter: mlp
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- value: [1, 0.5, 0.7, 0.3, 0]
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- - value: 0.5
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  dtype: bfloat16
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  random_seed: 0
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- ```
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  ## 💻 Usage
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  - lazymergekit
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  - automerger
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  base_model:
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+ - CorticalStack/pastiche-crown-clown-7b-dare-dpo
 
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  ---
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  # Experiment27Pastiche-7B
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  Experiment27Pastiche-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
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+ * [CorticalStack/pastiche-crown-clown-7b-dare-dpo](https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare-dpo)
 
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  ## 🧩 Configuration
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  ```yaml
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+ models:
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+ - model: yam-peleg/Experiment27-7B
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+ # No parameters necessary for base model
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+ - model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
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+ parameters:
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+ density: 0.53
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+ weight: 0.6
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+ merge_method: dare_ties
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  base_model: yam-peleg/Experiment27-7B
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  parameters:
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+ int8_mask: true
 
 
 
 
 
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  dtype: bfloat16
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  random_seed: 0
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+ ```
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  ## 💻 Usage
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mergekit_config.yml CHANGED
@@ -1,19 +1,15 @@
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- slices:
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- - sources:
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- - model: yam-peleg/Experiment27-7B
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- layer_range: [0, 32]
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- - model: CorticalStack/pastiche-crown-clown-7b-dare
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- layer_range: [0, 32]
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- merge_method: slerp
 
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  base_model: yam-peleg/Experiment27-7B
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  parameters:
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- t:
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- - filter: self_attn
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- value: [0, 0.5, 0.3, 0.7, 1]
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- - filter: mlp
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- value: [1, 0.5, 0.7, 0.3, 0]
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- - value: 0.5
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  dtype: bfloat16
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  random_seed: 0
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+ models:
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+ - model: yam-peleg/Experiment27-7B
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+ # No parameters necessary for base model
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+ - model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
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+ parameters:
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+ density: 0.53
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+ weight: 0.6
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+ merge_method: dare_ties
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  base_model: yam-peleg/Experiment27-7B
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  parameters:
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+ int8_mask: true
 
 
 
 
 
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  dtype: bfloat16
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  random_seed: 0
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