Model Details
Full Model IDQwen/Qwen3-VL-Reranker-8B
Pipeline / Tasktext-ranking
Librarytransformers
Downloads (all-time)206.2K
Likes140
Last Modified4/16/2026
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("text-ranking", model="Qwen/Qwen3-VL-Reranker-8B")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsqwen3_vlimage-text-to-textsentence-transformersmultimodal reranktext reranktext-rankingarxiv:2601.04720base_model:Qwen/Qwen3-VL-8B-Instructbase_model:finetune:Qwen/Qwen3-VL-8B-Instructlicense:apache-2.0endpoints_compatibleregion:us
More text-ranking 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: text-ranking
This model is designed for the text-ranking task. Explore more models for this use case.
All text-ranking Models →📊 Popularity
⬇ Downloads206.2K
❤️ Community Likes140
🛠️ 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.