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@@ -5,16 +5,19 @@ Volcano employs a single LMM to generate initial responses, feedback, and revisi
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  # Model details
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  **Model type:**
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- 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.
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  **Model date:**
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  Volcano-7b was trained in October 2023.
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  **Paper or resources for more information:**
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- ## Training dataset
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- - 274k Volcano-train data
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  - 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
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  - 158K GPT-generated multimodal instruction-following data.
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  - 450K academic-task-oriented VQA data mixture.
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- - 40K ShareGPT data.
 
 
 
 
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  # Model details
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  **Model type:**
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+ Volcano is a multimodal self-feedback guided revision model that was fine-tuned by mixing the visual instruction tuning dataset used in LLaVA-1.5 with multimodal feedback and revision data collected through gpt-3.5-turbo, applied to the vicuna model.
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  **Model date:**
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  Volcano-7b was trained in October 2023.
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  **Paper or resources for more information:**
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+ # Training dataset
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+ - 274k multimodal feedback and revision data
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  - 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
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  - 158K GPT-generated multimodal instruction-following data.
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  - 450K academic-task-oriented VQA data mixture.
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+ - 40K ShareGPT data
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+
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+ # Evaluation dataset
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+