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KoliaNik
/
Qwen3-Reranker-4B-NVFP4

Text Ranking
Transformers
Safetensors
multilingual
qwen3
text-generation
reranker
nvfp4
fp4
compressed-tensors
llm-compressor
vllm
Eval Results (legacy)
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use KoliaNik/Qwen3-Reranker-4B-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KoliaNik/Qwen3-Reranker-4B-NVFP4 with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("KoliaNik/Qwen3-Reranker-4B-NVFP4")
    model = AutoModelForCausalLM.from_pretrained("KoliaNik/Qwen3-Reranker-4B-NVFP4", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-Reranker-4B-NVFP4 / evaluation
15.3 kB
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  • 1 contributor
History: 1 commit
KoliaNik's picture
KoliaNik
NVFP4 quantization of Qwen/Qwen3-Reranker-4B with measured evaluation
703dc03 verified about 1 month ago
  • eval_reranker.py
    11.8 kB
    NVFP4 quantization of Qwen/Qwen3-Reranker-4B with measured evaluation about 1 month ago
  • metrics_rubq.json
    1.74 kB
    NVFP4 quantization of Qwen/Qwen3-Reranker-4B with measured evaluation about 1 month ago
  • metrics_scidocs.json
    1.73 kB
    NVFP4 quantization of Qwen/Qwen3-Reranker-4B with measured evaluation about 1 month ago