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README.md

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 # 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.
+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.