LLaVA 1.5 13B
About
LLaVA-1.5 13B is an open-source multimodal language model that excels at understanding and processing both visual and textual data. It integrates a CLIP ViT-L/14 vision encoder with a 13-billion parameter transformer-based language model, enhanced by a two-layer Multi-Layer Perceptron (MLP) as the vision-language connector. This upgrade improves the model's multimodal representation and capabilities, particularly in tasks like visual question answering, image captioning, and complex reasoning. Trained on a diverse array of datasets, LLaVA-1.5 showcases state-of-the-art performance in multiple benchmarks, while its open-source nature encourages ongoing research and development. Despite its prowess, it does have limitations, including potential misinformation and constraints in handling multiple images or certain problem-solving tasks 138.