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LLaVA: visual Q&A and image conversations v1.0.0

Use this resource to chat with a vision-language model about images

New

  • 331 downloads
  • 163 likes
  • 176 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llava-image-conversation

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent loads the model, prepares the conversation with the image and generates answers. You get inference code, an overview of the available model sizes and a training guide for reference.

Mostly picked by

Updated November 2, 2026

Card for the “LLaVA: visual Q&A and image conversations” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: installation, model loading and response generation
  • references/training.md: training and visual instruction tuning

Good fit for

  • You want to describe catalog images in natural language
  • You are building an assistant that answers questions about photos

Not for

    Tags

    • llava
    • vision
    • vqa
    • multimodal

    About

    You say

    “Describe this invoice photo and answer: what is the total amount?”

    Card for the “LLaVA: visual Q&A and image conversations” skill

    Skill published by davila7 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to chat with a vision-language model about images
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/training.md4.8 KB
    • SKILL.md8 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/multimodal-llava
    Licence
    MIT

    Notice

    « multimodal-llava » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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