Model Details
Full Model IDQwen/Qwen3-VL-8B-Instruct-FP8
Pipeline / Taskimage-text-to-text
Librarytransformers
Downloads (all-time)2.3M
Likes80
Last Modified11/26/2025
Author / OrgQwen
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="Qwen/Qwen3-VL-8B-Instruct-FP8")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsqwen3_vlimage-text-to-textconversationalarxiv:2505.09388arxiv:2502.13923arxiv:2409.12191arxiv:2308.12966base_model:Qwen/Qwen3-VL-8B-Instructbase_model:quantized:Qwen/Qwen3-VL-8B-Instructlicense:apache-2.0endpoints_compatiblefp8deploy:azureregion:us
More image-text-to-text Models
See all →🚀 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
⬇ Downloads2.3M
❤️ Community Likes80
🛠️ 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.