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  </div>
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  <p align="center">
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- <a href="https://jan.ai/">Jan</a>
 
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  - <a href="https://discord.gg/AsJ8krTT3N">Discord</a>
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  </p>
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  <!-- header end -->
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  # Model Description
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  This model uses the `SLERP` method to merge [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) with 2 best models in 12th Dec on [OpenLLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard):
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- 1. [v1olet_marcoroni-go-bruins-merge-7B](https://huggingface.co/v1olet/v1olet_marcoroni-go-bruins-merge-7B)
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  2. [go-bruins-v2](https://huggingface.co/rwitz/go-bruins-v2)
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  - base model: [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
 
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  </div>
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  <p align="center">
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+ <a
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+ href="https://jan.ai/">Jan</a>
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  - <a href="https://discord.gg/AsJ8krTT3N">Discord</a>
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  </p>
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  <!-- header end -->
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  # Model Description
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  This model uses the `SLERP` method to merge [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) with 2 best models in 12th Dec on [OpenLLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard):
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+ 1. [Marcoroni-7B-v3](https://huggingface.co/AIDC-ai-business/Marcoroni-7B-v3)
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  2. [go-bruins-v2](https://huggingface.co/rwitz/go-bruins-v2)
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  - base model: [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)