  Large Language Models (LLMs) and Multimodal Large language models (MLLMs)
have taken the world by storm with impressive abilities in complex reasoning
and linguistic comprehension. Meanwhile there are plethora of works related to
Vietnamese Large Language Models, the lack of high-quality resources in
multimodality limits the progress of Vietnamese MLLMs. In this paper, we
pioneer in address this by introducing LaVy, a state-of-the-art Vietnamese
MLLM, and we also introduce LaVy-Bench benchmark designated for evaluating
MLLMs's understanding on Vietnamese visual language tasks. Our project is
public at https://github.com/baochi0212/LaVy
