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Phi3 Hallucination Judge Merge by grounded-ai

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Phi3 Hallucination Judge Merge is an open-source language model by grounded-ai. Features: 3.8b LLM, VRAM: 7.7GB, Context: 4K, License: mit, Instruction-Based, LLM Explorer Score: 0.14.

  Arxiv:2305.11747   Conversational   Custom code   Endpoints compatible   Instruct   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/grounded-ai/phi3-hallucination-judge-merge 

Phi3 Hallucination Judge Merge Benchmarks

LLME Score: 0.13514
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi3 Hallucination Judge Merge (grounded-ai/phi3-hallucination-judge-merge)
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Phi3 Hallucination Judge Merge Parameters and Internals

Training Details 
Data Sources:
arize/phoenix
Input Output 
Input Format:
Expected input format is a structured message containing a reference, a query, and a model response for hallucination evaluation.
Output Format:
The output is a binary 'yes' or 'no' indicating whether a hallucination is detected.
Performance Tips:
Improve performance by fine-tuning the prompting strategy as provided.
LLM NamePhi3 Hallucination Judge Merge
Repository 🤗https://huggingface.co/grounded-ai/phi3-hallucination-judge-merge 
Model Size3.8b
Required VRAM7.7 GB
Updated2026-05-12
Maintainergrounded-ai
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than grounded-ai/phi3-hallucination-judge-merge.

Rank the Phi3 Hallucination Judge Merge 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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