Task
Text Ranking
Q
Qwen/Qwen3-VL-Reranker-2B
Text Ranking·Qwen· 300.3K· 201
transformers
apache-2.0
Text Ranking
2.1B params
arxiv:2601.04720base_model:Qwen/Qwen3-VL-2B-Instructbase_model:finetune:Qwen/Qwen3-VL-2B-Instructlicense:apache-2.0
The Qwen3-VL-Embedding and Qwen3-VL-Reranker model series are the latest additions to the Qwen family, built upon the recently open-sourced and powerful Qwen3-VL foundation model. Specifically designed for multimodal information retrieval and cross-modal understanding, this suite accepts diverse inputs including text, images, screenshots, and videos, as well as inputs containing a mixture of these
# pull & run locally
pip install mlforge-sdk && mlforge pull Qwen/Qwen3-VL-Reranker-2B
pip install mlforge-sdk && mlforge pull Qwen/Qwen3-VL-Reranker-2B
Model details
Provider
Qwen
Framework
transformers
Parameters
2.1B
Size
4.0 GB
License
apache-2.0
Downloads
300.3K
Likes
201
Paper
arXiv:2601.04720
Updated
2026-04-16
About Qwen/Qwen3-VL-Reranker-2B
The Qwen3-VL-Embedding and Qwen3-VL-Reranker model series are the latest additions to the Qwen family, built upon the recently open-sourced and powerful Qwen3-VL foundation model. Specifically designed for multimodal information retrieval and cross-modal understanding, this suite accepts diverse inputs including text, images, screenshots, and videos, as well as inputs containing a mixture of these modalities.
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