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library_name: transformers |
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license: apache-2.0 |
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language: |
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- ko |
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# Model Card for Model ID |
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## Model Details |
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### Model Description |
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The Gemma Self-Attention Merged model is a large language model created by merging the self-attention layers of an [English-based Gemma 7B model](https://huggingface.co/google/gemma-1.1-7b-it) and a [Korean-based Gemma 7B model](beomi/gemma-ko-7b). This merger allows the model to leverage the capabilities of both the English and Korean models, resulting in a more versatile and capable language model that can perform well on tasks involving both English and Korean text. |
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The key features of this merged model include: |
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- Increased self-attention capacity with doubled number of attention heads |
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- Ability to handle both English and Korean language input |
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- Potential for improved performance on a wide range of natural language processing tasks |
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#### Chat template |
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**system:** system message... |
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**B:** user message... |
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**A:** assistant message... |
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### Model Sources |
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- **Repository:** https://github.com/lcw99/merge-gemma-attn.git |
