llava

Name: llava
Rating: 5 (7 reviews)
Author: braxtonROSE4

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.

7estrellas

Actualizado hace 2 meses

Ver en GitHub ↗Licencia: MIT

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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

Metrics:

23,000+ GitHub stars
GPT-4V level capabilities (targeted)
Apache 2.0 License
Multiple model sizes (7B-34B para

[Description truncada. Veja o README completo no GitHub.]

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