Individual skill
llava
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.
18-multimodal/llava/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 14,489
- Repository last updated
- Oct 11, 2026
- License
- MIT
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- ai Repository topic
- ai-research Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- codex Repository topic
- gemini Repository topic
- gpt-5 Repository topic
- grpo Repository topic
- huggingface Repository topic
- llava Declared skill tag
- vision-language Declared skill tag
- multimodal Declared skill tag
- visual-question-answering Declared skill tag
- image-chat Declared skill tag
- clip Declared skill tag
- vicuna Declared skill tag
- conversational-ai Declared skill tag
- instruction-tuning Declared skill tag
- vqa Declared skill tag
- engineering Derived category
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Read excerpt
# 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