MGM
Discover the innovative dual-encoder framework designed for large language models ranging from 2B to 34B, specialized in image comprehension and generation. This open-source project, built upon LLaVA, provides detailed resources for training, setup, and assessment. Engage with advanced vision-language integration via its demos and vast datasets such as COCO and GQA, available on Hugging Face Spaces. Follow recent model developments and performance evaluations.
