QW
Qwen3-Reranker-4B
Release date: 2025-06-05Updated: 2025-06-08 22:04:211,240
Parameters
4B
Context length
32K
Chinese support
Supported
Reasoning ability
Qwen3-Reranker-4B is an AI model published by Alibaba, released on 2025-06-05, for Embedding model, with 4B parameters, and 32K context length, requiring about 8GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Qwen3-Reranker-4B
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
32K tokens
Max output length
No data
Model type
Embedding model
Modality (in / out)
Text → Embedding
Release date
2025-06-05
Model file size
8GB
MoE architecture
No
Total params / Active params
4B / N/A
Knowledge cutoff
No data
Qwen3-Reranker-4B
Open source & experience
Code license
Weights license
Apache 2.0- Commercial use permitted
GitHub repo
GitHub link unavailable
Hugging Face
Live demo
No live demo
Qwen3-Reranker-4B
Official resources
Paper
DataLearnerAI blog
Qwen3-Reranker-4B
API details
API speed
4/5
No public API pricing yet.
Qwen3-Reranker-4B
Benchmark Results
No benchmark data to show.
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Qwen3-Reranker-4B
Publisher
Alibaba
View publisher details Qwen3-Reranker-4B
Model Overview
Qwen3-Reranker-4B is an AI model published by Alibaba, released on 2025-06-05, for Embedding model, with 4B parameters, and 32K context length, requiring about 8GB storage.
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