beomi/gemma-ko-7b

Gemma-Ko-7b is an 8.5 billion parameter decoder-only language model developed by Junbum Lee (Beomi) and Taekyoon Choi, based on Google's Gemma architecture. This model is specifically designed for generating Korean and English text, making it suitable for various text generation tasks including question answering, summarization, and reasoning in both languages. Its relatively compact size and efficient architecture allow for deployment in resource-limited environments, democratizing access to advanced AI capabilities.