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@@ -6,31 +6,37 @@ tags:
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  - lazymergekit
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  - automerger
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  base_model:
 
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  - nlpguy/T3QM7
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  ---
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  # NeuralsynthesisT3qm7-7B
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  NeuralsynthesisT3qm7-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
 
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  * [nlpguy/T3QM7](https://huggingface.co/nlpguy/T3QM7)
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  ## 🧩 Configuration
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  ```yaml
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- models:
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- - model: Kukedlc/NeuralSynthesis-7B-v0.3
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- # No parameters necessary for base model
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- - model: nlpguy/T3QM7
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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: Kukedlc/NeuralSynthesis-7B-v0.3
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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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  - lazymergekit
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  - automerger
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  base_model:
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+ - Kukedlc/NeuralSynthesis-7b-v0.4-slerp
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  - nlpguy/T3QM7
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  ---
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  # NeuralsynthesisT3qm7-7B
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  NeuralsynthesisT3qm7-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
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+ * [Kukedlc/NeuralSynthesis-7b-v0.4-slerp](https://huggingface.co/Kukedlc/NeuralSynthesis-7b-v0.4-slerp)
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  * [nlpguy/T3QM7](https://huggingface.co/nlpguy/T3QM7)
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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: Kukedlc/NeuralSynthesis-7b-v0.4-slerp
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+ layer_range: [0, 32]
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+ - model: nlpguy/T3QM7
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: Kukedlc/NeuralSynthesis-7b-v0.4-slerp
 
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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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