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boboliu
/
Qwen3-Reranker-4B-W4A16-G128

Text Classification
Transformers
Safetensors
qwen3
text-generation
text-embeddings-inference
compressed-tensors
Model card Files Files and versions
xet
Community

Instructions to use boboliu/Qwen3-Reranker-4B-W4A16-G128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use boboliu/Qwen3-Reranker-4B-W4A16-G128 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="boboliu/Qwen3-Reranker-4B-W4A16-G128")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("boboliu/Qwen3-Reranker-4B-W4A16-G128")
    model = AutoModelForCausalLM.from_pretrained("boboliu/Qwen3-Reranker-4B-W4A16-G128", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-Reranker-4B-W4A16-G128
2.67 GB
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  • 1 contributor
History: 2 commits
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boboliu
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  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
    214 Bytes
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  • merges.txt
    1.67 MB
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  • model.safetensors
    2.65 GB
    xet
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    5.4 kB
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  • vocab.json
    2.78 MB
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