🤖 image-text-to-text

llava-1.5-7b-hf

llava-hf/llava-1.5-7b-hf

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transformers
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Model Details
Full Model IDllava-hf/llava-1.5-7b-hf
Pipeline / Taskimage-text-to-text
Librarytransformers
Downloads (all-time)2.1M
Likes372
Last Modified6/6/2025
Author / Orgllava-hf
PrivateNo — public
⚡ Quick Usage (Python)

Using the 🤗 Transformers library. Install with pip install transformers

from transformers import pipeline

# Load the model
pipe = pipeline("image-text-to-text", model="llava-hf/llava-1.5-7b-hf")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
transformerssafetensorsllavaimage-text-to-textvisionconversationalendataset:liuhaotian/LLaVA-Instruct-150Klicense:llama2endpoints_compatibleregion:us
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🚀 Use This Model

Access model files, inference API, and full documentation on Hugging Face.

Open on Hugging Face →Browse Model Files ↗← Browse All Models
🤖 Task: image-text-to-text

This model is designed for the image-text-to-text task. Explore more models for this use case.

All image-text-to-text Models →
📊 Popularity
Downloads2.1M
❤️ Community Likes372
🛠️ Requirements
  • Install: pip install transformers
  • Python 3.8+ recommended for Transformers.
  • GPU (CUDA) speeds up inference significantly.
  • Use model.half() for fp16 on limited VRAM.
👋 Need help with code?