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https://huggingface.co/KRLabsOrg/lettucedect-large-modernbert-en-v1
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Detect hallucinations in answers based on context and questions using ModernBERT with 8192-token context support!
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Detect hallucinations in answers based on context and questions using ModernBERT with 8192-token context support!
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### Model Details
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### Model Details
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- **Model Name**: [lettucedect-large-modernbert-en-v1](
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- **Model Name**: [lettucedect-large-modernbert-en-v1](
https://huggingface.co/KRLabsOrg/lettucedect-large-modernbert-en-v1
KRLabsOrg/lettucedect-large-modernbert-en-v1
model
resource
https://huggingface.co/KRLabsOrg/lettucedect-large-modernbert-en-v1
)  
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)  
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- **Organization**: [KRLabsOrg](
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- **Organization**: [KRLabsOrg](
https://cdn-avatars.huggingface.co/v1/production/uploads/646264832538819c729e32ba/t6EOByCCCk72LYmAhcL8V.png
https://huggingface.co/KRLabsOrg
KRLabsOrg
org
resource
https://huggingface.co/KRLabsOrg
)  
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)  
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- **Github**: [https://github.com/KRLabsOrg/LettuceDetect](
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- **Github**: [https://github.com/KRLabsOrg/LettuceDetect](
https://github.com/KRLabsOrg/LettuceDetect
https://github.com/KRLabsOrg/LettuceDetect
link
)  
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)  
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- **Architecture**: ModernBERT (Large) with extended context support up to 8192 tokens  
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- **Architecture**: ModernBERT (Large) with extended context support up to 8192 tokens  
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- **Task**: Token Classification / Hallucination Detection  
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- **Task**: Token Classification / Hallucination Detection  
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- **Training Dataset**: [RagTruth](
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- **Training Dataset**: [RagTruth](
https://huggingface.co/datasets/wandb/RAGTruth-processed
wandb/RAGTruth-processed
dataset
resource
https://huggingface.co/datasets/wandb/RAGTruth-processed
)  
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)  
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- **Language**: English  
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- **Language**: English  
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- **Capabilities**: Detects hallucinated spans in answers, provides confidence scores, and calculates average confidence across detected spans.  
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- **Capabilities**: Detects hallucinated spans in answers, provides confidence scores, and calculates average confidence across detected spans.  
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LettuceDetect excels at processing long documents to determine if an answer aligns with the provided context, making it a powerful tool for ensuring factual accuracy.
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LettuceDetect excels at processing long documents to determine if an answer aligns with the provided context, making it a powerful tool for ensuring factual accuracy.
Powered by  https://huggingface.co/KRLabsOrg/lettucedect-large-modernbert-en-v1 from KRLabsOrg. 

Detect hallucinations in answers based on context and questions using ModernBERT with 8192-token context support!

### Model Details
- **Model Name**: [lettucedect-large-modernbert-en-v1](https://huggingface.co/KRLabsOrg/lettucedect-large-modernbert-en-v1)  
- **Organization**: [KRLabsOrg](https://huggingface.co/KRLabsOrg)  
- **Github**: [https://github.com/KRLabsOrg/LettuceDetect](https://github.com/KRLabsOrg/LettuceDetect)  
- **Architecture**: ModernBERT (Large) with extended context support up to 8192 tokens  
- **Task**: Token Classification / Hallucination Detection  
- **Training Dataset**: [RagTruth](https://huggingface.co/datasets/wandb/RAGTruth-processed)  
- **Language**: English  
- **Capabilities**: Detects hallucinated spans in answers, provides confidence scores, and calculates average confidence across detected spans.  

LettuceDetect excels at processing long documents to determine if an answer aligns with the provided context, making it a powerful tool for ensuring factual accuracy.
👍
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