giraffe176
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Update README.md
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README.md
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@@ -18,8 +18,8 @@ This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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*
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*
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### Configuration
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@@ -27,12 +27,12 @@ The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: /
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layer_range: [0, 32]
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- model: /
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layer_range: [0, 32]
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merge_method: slerp
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base_model: /
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parameters:
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t:
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- filter: self_attn
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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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### Models Merged
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The following models were included in the merge:
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* workspace2
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* workspace1
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### Configuration
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```yaml
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models:
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- model: cognitivecomputations/samantha-1.1-westlake-7b
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layer_range: [0, 32]
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- model: NeverSleep/Noromaid-7B-0.4-DPO
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layer_range: [0, 32]
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merge_method: slerp
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base_model: NeverSleep/Noromaid-7B-0.4-DPO
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parameters:
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t:
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- filter: self_attn
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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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name: workspace1
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---
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models:
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- model: teknium/OpenHermes-2.5-Mistral-7B
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layer_range: [0, 32]
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- model: Open-Orca/Mistral-7B-OpenOrca
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layer_range: [0, 32]
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merge_method: slerp
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base_model: teknium/OpenHermes-2.5-Mistral-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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name: workspace2
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---
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models:
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- model: workspace1
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layer_range: [0, 32]
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- model: workspace2
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layer_range: [0, 32]
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merge_method: slerp
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base_model: workspace1
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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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