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.
How to install llava?
aivrar/portable-hermes-agent/llava
$npx -y skills add aivrar/portable-hermes-agent --skill llavaInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/aivrar/portable-hermes-agent" --skill "aivrar/portable-hermes-agent/llava"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/aivrar/portable-hermes-agent" that are relevant to the current task. Run `npx skills add "https://github.com/aivrar/portable-hermes-agent"` and select the relevant skills, then follow their instructions.
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