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Qwen3 Reranker 4B by Qwen

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Qwen3 Reranker 4B is an open-source language model by Qwen. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.32.

  Arxiv:2506.05176 Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-4b-base   Endpoints compatible   Qwen3   Region:us   Safetensors   Sentence-transformers   Sharded   Tensorflow   Text-ranking
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-Reranker-4B 

Qwen3 Reranker 4B Benchmarks

LLME Score: 0.31654
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 Reranker 4B (Qwen/Qwen3-Reranker-4B)
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Qwen3 Reranker 4B Parameters and Internals

LLM NameQwen3 Reranker 4B
Repository 🤗https://huggingface.co/Qwen/Qwen3-Reranker-4B 
Base Model(s)  Qwen3 4B Base   Qwen/Qwen3-4B-Base
Model Size4b
Required VRAM8.1 GB
Updated2026-04-27
MaintainerQwen
Model Typeqwen3
Model Files  4.1 GB: 1-of-2   4.0 GB: 2-of-2
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Torch Data Typebfloat16
Errorsreplace

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QED Nano256K / 8.1 GB681686
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB71535873
Jan V1 4B256K / 8.1 GB108354353
Qwen3 4B Thinking 2507 FP8256K / 5.2 GB18661364
...en3.6 Plus Reasoning Distilled256K / 8.1 GB10873
AgentCPM Explore256K / 8.9 GB141412
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-Reranker-4B.

Rank the Qwen3 Reranker 4B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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