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Image dialogue with the LLaVA model v1.0.0

Use this resource to have a vision-language model answer questions about images

New

  • 469 downloads
  • 106 likes
  • 177 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install vision-language-chat-llava

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 installs LLaVA, loads a model and an image, then generates replies in a conversation that can run several turns. You get an assistant that describes images and answers questions about them.

Mostly picked by

Updated November 2, 2026

Card for the “Image dialogue with the LLaVA model” 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 data formats

Good fit for

  • You want to describe or caption images in bulk
  • You are building a chatbot that must understand visuals

Not for

    Tags

    • llava
    • vision
    • vqa
    • captioning
    • multimodal

    About

    You say

    “Describe this invoice photo and answer my question about the total.”

    Card for the “Image dialogue with the LLaVA model” skill

    Skill published by Orchestra Research 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 have a vision-language model answer questions about images
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/training.md4.6 KB
    • SKILL.md7.4 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/nousresearch/hermes-agent/tree/0c74cc682dc81bf78b78a1737b3ee77a820ccb79/optional-skills/mlops/llava
    Licence
    MIT

    Notice

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

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