NuExtract by numind

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  Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/phi-3-min...   Conversational   Custom code   En   Endpoints compatible   Instruct   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/numind/NuExtract 

NuExtract Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NuExtract (numind/NuExtract)

NuExtract Parameters and Internals

Model Type 
Information Extraction
Use Cases 
Areas:
Information Extraction
Additional Notes 
This model is out-dated. Find the updated version at the provided link.
Supported Languages 
en (Unknown proficiency)
Training Details 
Methodology:
Fine-tuned on a private high-quality synthetic dataset for information extraction.
Context Length:
2000
Input Output 
Input Format:
Input text (less than 2000 tokens) and a JSON template describing the information to extract.
Accepted Modalities:
text
Output Format:
JSON formatted output based on provided template.
Performance Tips:
Provide an example of output formatting to help the model understand your task more precisely.
LLM NameNuExtract
Repository ๐Ÿค—https://huggingface.co/numind/NuExtract 
Base Model(s)  Phi 3 Mini 4K Instruct   microsoft/Phi-3-mini-4k-instruct
Model Size3.8b
Required VRAM15.4 GB
Updated2025-02-22
Maintainernumind
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   0.4 GB: 4-of-4
Supported Languagesen
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|end-output|>
Vocabulary Size32064
Torch Data Typefloat32

Best Alternatives to NuExtract

Best Alternatives
Context / RAM
Downloads
Likes
Phi 3.5 Mini Instruct128K / 7.7 GB721615819
Phi 3 Mini 128K Instruct128K / 7.7 GB1741761636
NuExtract 1.5128K / 7.7 GB115378198
NuExtract V1.5128K / 7.7 GB10851189
Phi 3.5 Mini TitanFusion 0.1128K / 7.7 GB1650
Glider128K / 15.4 GB150436
Saka 3.8B128K / 7.7 GB3091
ECE EIFFEL 3Bv2128K / 7.7 GB100
Samantha2.0 Phi 3.5 Mini ITA128K / 7.7 GB41210
Artemide 3.5128K / 7.7 GB74532
Note: green Score (e.g. "73.2") means that the model is better than numind/NuExtract.

Rank the NuExtract Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20241227