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Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.
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Ler descrição completa Recolher descrição LLaVA - Large Language and Vision Assistant
Open-source vision-language model for conversational image understanding.
When to use LLaVA
Use when:
Building vision-language chatbots Visual question answering (VQA) Image description and captioning Multi-turn image conversations Visual instruction following Document understanding with images Metrics :
23,000+ GitHub stars GPT-4V level capabilities (targeted) Apache 2.0 License Multiple model sizes (7B-34B para [Description truncada. Veja o README completo no GitHub.]
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