Qwen 3 Reranker 4B
Qwen3-Reranker-4B is a 4-billion parameter text reranking model built by Qwen, designed for tasks like text retrieval, classification, and clustering. It excels in multilingual and cross-lingual retrieval scenarios, supporting over 100 languages.
Input
Output
Context
41K
Max Output
-
Parameters
4B
Technical Specifications
Model TypeRerank
Context Window40,960 tokens
Max Output TokensNot available
Parameters4B
Release DateJun 3, 2025
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Text
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Qwen 3 Reranker 4B
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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