NuExtract V1.5 by numind

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Base model:finetune:microsoft/... Base model:microsoft/phi-3.5-m...   Conversational   Custom code   Endpoints compatible   Instruct   Multilingual   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/numind/NuExtract-v1.5 

NuExtract V1.5 Benchmarks

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 V1.5 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model prioritizes pure extraction, ensuring generated text is present in original text.
Supported Languages 
English (supported), French (supported), Spanish (supported), German (supported), Portuguese (supported), Italian (supported)
Input Output 
Input Format:
input text and a JSON template
Accepted Modalities:
text
Output Format:
text matching the structure of the JSON template
LLM NameNuExtract V1.5
Repository ๐Ÿค—https://huggingface.co/numind/NuExtract-v1.5 
Base Model(s)  microsoft/Phi-3.5-mini-instruct   microsoft/Phi-3.5-mini-instruct
Model Size3.8b
Required VRAM7.7 GB
Updated2024-11-13
Maintainernumind
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16
NuExtract V1.5 (numind/NuExtract-v1.5)

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Note: green Score (e.g. "73.2") means that the model is better than numind/NuExtract-v1.5.

Rank the NuExtract V1.5 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124