Model Details
Full Model IDQwen/Qwen3-Reranker-0.6B
Pipeline / Tasktext-ranking
Librarytransformers
Downloads (all-time)1.4M
Likes335
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-Reranker-0.6B")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsqwen3text-generationsentence-transformerstext-rankingarxiv:2506.05176base_model:Qwen/Qwen3-0.6B-Basebase_model:finetune:Qwen/Qwen3-0.6B-Baselicense:apache-2.0endpoints_compatibleregion:us
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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.
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⬇ Downloads1.4M
❤️ Community Likes335
🛠️ 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.