Multimodal-GPT

Why we included this project

Multimodal-GPT is an early, readable example of how a vision-language chatbot gets built. The OpenMMLab team took OpenFlamingo and trained it on visual instruction data they generated from existing VQA, captioning, reasoning, OCR, and dialogue datasets, then added language-only instruction training for the language component. That joint training is the interesting part: the README reports it noticeably improves how the model responds, so the repo works as a template if you want to build your own assistant on open weights. A technical report and training code accompany the project, which helps if you are new to adapting an OpenFlamingo-style model for dialogue. Note that development has been quiet since mid-2023, so treat it as a learning resource rather than a maintained dependency.