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NuExtract V1.5 by numind

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

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NuExtract V1.5 is an open-source language model by numind. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, License: mit, Instruction-Based, LLM Explorer Score: 0.24.

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 🤗: https://huggingface.co/numind/NuExtract-v1.5 

NuExtract V1.5 Benchmarks

LLME Score: 0.2399
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 (numind/NuExtract-v1.5)
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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 🤗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

Best Alternatives to NuExtract V1.5

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Phi 3.5 Mini TitanFusion 0.1128K / 7.7 GB180
Phi 4 Mini Instruct128K / 7.7 GB719824
ECE EIFFEL 3Bv2128K / 7.7 GB90
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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

🆘 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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