| # Overview | |
|  | |
| Volcano employs a single LMM to generate initial responses, feedback, and revisions, as well as decisions to accept revisions. It follows a sequential procedure of an iterative critique-revision-decide loop. | |
| # Model details | |
| **Model type:** | |
| Volcano is a multimodal self-feedback guided revision model that was trained using the vicuna model with visual instruction tuning data and multimodal feedback and revision data obtained through gpt-3.5-turbo, following the methodology of LLaVA. | |
| **Model date:** | |
| Volcano-7b was trained in October 2023. | |
| **Paper or resources for more information:** | |
| ## Training dataset | |
| - 274k Volcano-train data | |
| - 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP. | |
| - 158K GPT-generated multimodal instruction-following data. | |
| - 450K academic-task-oriented VQA data mixture. | |
| - 40K ShareGPT data. |