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.
backend/cli/skills/llm-tools/llava/SKILL.md
Source commit a08e0ad0ad3d6448123039ee4659163eb2e35d99
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- Yes
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- Network or broad shell
- Last checked
- Nov 2, 2026
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- Repository stars (not skill ratings)
- 4,351
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent 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
- design 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