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NuExtract Large by numind

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Model Card on HF 🤗: https://huggingface.co/numind/NuExtract-large 

NuExtract Large Benchmarks

LLME Score: 0.19157
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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NuExtract Large Parameters and Internals

Model Type 
Extractive
Additional Notes 
This is a fine-tuned extractive model that outputs text present in the original text.
Supported Languages 
languages_supported (English), proficiency (Unknown)
Input Output 
Input Format:
JSON template
Accepted Modalities:
Text
Output Format:
JSON formatted information
Performance Tips:
Provide output formatting examples for better task precision.
LLM NameNuExtract Large
Repository 🤗https://huggingface.co/numind/NuExtract-large 
Model Size7.4b
Required VRAM14.8 GB
Updated2025-06-11
Maintainernumind
Model Typephi3small
Model Files  4.8 GB: 1-of-4   4.8 GB: 2-of-4   4.8 GB: 3-of-4   0.4 GB: 4-of-4
Supported Languagesen
Model ArchitecturePhi3SmallForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.42.0.dev0
Tokenizer ClassPhi3SmallTokenizer
Padding Token<|endoftext|>
Vocabulary Size100352
Torch Data Typebfloat16
NuExtract Large (numind/NuExtract-large)

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Phi 3 Small 128K Instruct128K / 14.8 GB6324175
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Note: green Score (e.g. "73.2") means that the model is better than numind/NuExtract-large.

Rank the NuExtract Large Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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