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README.md
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## Model Summary
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**Innovator-VL-8B-Instruct** is a multimodal instruction-following large language model designed for scientific understanding and reasoning.
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The model integrates strong general-purpose vision-language capabilities with enhanced scientific multimodal alignment, while maintaining a fully transparent and reproducible training pipeline.
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Unlike approaches that rely on large-scale domain-specific pretraining, Innovator-VL-8B-Instruct achieves competitive scientific performance using high-quality instruction tuning, without additional scientific text continued pretraining.
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## Model Architecture
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- **Vision Encoder**: RICE-ViT (region-aware visual representation)
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- **Projector**: PatchMerger for visual token compression
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The model supports native-resolution multi-image inputs and is suitable for complex scientific visual analysis.
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## Training Overview
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- **Multimodal Alignment**: LLaVA-1.5 (558K)
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## Model Summary
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**Innovator-VL-8B-Instruct** is a multimodal instruction-following large language model designed for scientific understanding and reasoning. The model integrates strong general-purpose vision-language capabilities with enhanced scientific multimodal alignment, while maintaining a fully transparent and reproducible training pipeline.
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Unlike approaches that rely on large-scale domain-specific pretraining, Innovator-VL-8B-Instruct achieves competitive scientific performance using high-quality instruction tuning, without additional scientific text continued pretraining.
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## Model Architecture
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<img src="assets/innovator_vl_architecture.png" width="600"/>
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- **Vision Encoder**: RICE-ViT (region-aware visual representation)
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- **Projector**: PatchMerger for visual token compression
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The model supports native-resolution multi-image inputs and is suitable for complex scientific visual analysis.
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## Training Overview
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- **Multimodal Alignment**: LLaVA-1.5 (558K)
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