Qwen3-Reranker-4B

Name: Qwen3-Reranker-4B
Availability: InStock
Author: 阿里巴巴

embedding模型

Qwen3-Reranker-4B

Release date: 2025-06-05更新于: 2025-06-08 22:04:211,185

Live demo

Qwen3-Reranker-4B is an AI model published by 阿里巴巴, released on 2025-06-05, for embedding模型, with 40.0B parameters, and 32K tokens context length, requiring about 8GB storage, under the Apache 2.0 license.

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模型

Release date

2025-06-05

Model file size

8GB

MoE architecture

Total params / Active params

40.0B / N/A

Knowledge cutoff

No data

Qwen3-Reranker-4B

Open source & experience

Code license

Apache 2.0

Weights license

Apache 2.0- 免费商用授权

GitHub repo

GitHub link unavailable

Hugging Face

https://huggingface.co/Qwen/Qwen3-Reranker-4B

Live demo

No live demo

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Qwen3-Reranker-4B

Model basics

Open source & experience

Official resources

API details

Benchmark Results

Publisher

Model Overview

DataLearner 官方微信