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  I had this idea at night that it would make sense to make a Linear Merge
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  **Model Merge:**
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- Linear Language Model Merge
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  ### Composition
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@@ -212,7 +212,7 @@ Linear Language Model Merge
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  **Purpose and Utility:**
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- This "Linear Language Model Merge" strategically combines the strengths of both models through weighted averaging, ensuring a balanced influence in the merged output. This approach is designed to provide robust performance in applications requiring a deep understanding and generation of Korean text, along with the capability to handle specialized tasks involving technical descriptions and coding. It is ideal for creating advanced AI assistants, coding bots, or any application where high linguistic and technical precision is needed.
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  ### Configuration
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  I had this idea at night that it would make sense to make a Linear Merge
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  **Model Merge:**
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+ Linear Merge
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  ### Composition
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  **Purpose and Utility:**
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+ This "Linear Merge" strategically combines the strengths of both models through weighted averaging, ensuring a balanced influence in the merged output. This approach is designed to provide robust performance in applications requiring a deep understanding and generation of Korean text, along with the capability to handle specialized tasks involving technical descriptions and coding. It is ideal for creating advanced AI assistants, coding bots, or any application where high linguistic and technical precision is needed.
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  ### Configuration
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