Quantization made by Richard Erkhov.
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 and a
Korean-based Gemma 7B model. 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.
