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  base_model:
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  - fhai50032/RolePlayLake-7B
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  - mlabonne/NeuralBeagle14-7B
 
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  ---
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  # BeagleLake-7B
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- BeagleLake-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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  * [fhai50032/RolePlayLake-7B](https://huggingface.co/fhai50032/RolePlayLake-7B)
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  * [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
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  ## 🧩 Configuration
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  ```yaml
 
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  base_model:
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  - fhai50032/RolePlayLake-7B
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  - mlabonne/NeuralBeagle14-7B
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+ license: apache-2.0
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  ---
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  # BeagleLake-7B
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+ BeagleLake-7B is a merge of the following models :
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  * [fhai50032/RolePlayLake-7B](https://huggingface.co/fhai50032/RolePlayLake-7B)
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  * [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
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+ `Merging models are not powerful but are helpful in the case that it can work like Transfer Learning similar idk.. But they perform high on Leaderboard
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+ For ex. NeuralBeagle is powerful model with lot of potential to grow and RolePlayLake is Suitable for RP (No-Simping) and is significantly uncensored and nice obligations
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+ Fine-tuning a Merged model as a base model is surely a way to look forward and see a lot of potential going forward..
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+
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+ so much thanks for [Charles Goddard](https://huggingface.co/chargoddard) for making simple interface 'mergekit'
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+ `
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  ## 🧩 Configuration
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  ```yaml