llama3-s is an open and ongoing research experiment aiming to extend large language models (LLMs) based on text to have native 'hearing' abilities. The project draws inspiration from Meta's Chameleon paper, focusing on token passability by incorporating audio tokens into the LLM vocabulary, potentially expanding to various input types in the future. As an open-source scientific experiment, both the codebase and datasets are publicly available.