# Overview
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6550c4f27bbfce1878f5f280/AnqbCNf6pRiQ_5uNX0r4d.png)
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.