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NuExtract V1.5 by numind

 »  All LLMs  »  numind  »  NuExtract V1.5   URL Share it on

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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

NuExtract V1.5 Benchmarks

LLME Score: 0.38281
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

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 🤗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)

Best Alternatives to NuExtract V1.5

Best Alternatives
Context / RAM
Downloads
Likes
Phi 3.5 Mini Instruct128K / 7.7 GB651009640
Phi 3 Mini 128K Instruct128K / 7.7 GB7358311605
NuExtract 1.5128K / 7.7 GB107204113
ECE EIFFEL 3Bv2128K / 7.7 GB50
Phi 3.5 Mini ITA128K / 7.7 GB788510
Flow Judge V0.1128K / 7.7 GB37945
Borea Phi 3.5 Mini Instruct Jp128K / 7.7 GB5299
Phi 3.5 Mini TitanFusion 0.1128K / 7.7 GB290
Borea Phi 3.5 Mini Instruct Jp128K / 7.7 GB2025
....5 Mini 3.8B ArliAI RPMax V1.1128K / 7.7 GB258
Note: green Score (e.g. "73.2") means that the model is better than numind/NuExtract-v1.5.

Rank the NuExtract V1.5 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 v20241110
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