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dleemiller
/
AbsoluteZero-nli-4b

Zero-Shot Classification
sentence-transformers
Safetensors
English
qwen3_5_text
cross-encoder
nli
natural-language-inference
text-classification
hallucination-detection
rag
fact-checking
groundedness
reasoning
knowledge-distillation
grpo
qwen3.5
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use dleemiller/AbsoluteZero-nli-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use dleemiller/AbsoluteZero-nli-4b with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("dleemiller/AbsoluteZero-nli-4b", trust_remote_code=True)
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • Notebooks
  • Google Colab
  • Kaggle
AbsoluteZero-nli-4b
8.43 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
dleemiller's picture
dleemiller
score_many example: clean rounding + its output
ffcb6e4 verified 5 days ago
  • .gitattributes
    1.69 kB
    Model files: merged weights (bf16) + fast/think heads, custom model + tokenizer code 5 days ago
  • README.md
    17.6 kB
    score_many example: clean rounding + its output 5 days ago
  • absolutezero_dark.png
    115 kB
    xet
    Logo: slashed-zero mark (light / dark) 5 days ago
  • absolutezero_light.png
    200 kB
    xet
    Logo: slashed-zero mark (light / dark) 5 days ago
  • config.json
    2.31 kB
    Model files: merged weights (bf16) + fast/think heads, custom model + tokenizer code 5 days ago
  • model.safetensors
    8.41 GB
    xet
    Model files: merged weights (bf16) + fast/think heads, custom model + tokenizer code 5 days ago
  • modeling_nli_student.py
    6.81 kB
    Model files: merged weights (bf16) + fast/think heads, custom model + tokenizer code 5 days ago
  • tokenization_nli_student.py
    3.82 kB
    Model files: merged weights (bf16) + fast/think heads, custom model + tokenizer code 5 days ago
  • tokenizer.json
    20 MB
    xet
    Model files: merged weights (bf16) + fast/think heads, custom model + tokenizer code 5 days ago
  • tokenizer_config.json
    1.27 kB
    Model files: merged weights (bf16) + fast/think heads, custom model + tokenizer code 5 days ago