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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
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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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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
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