NuExtract Tiny by numind

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  Autotrain compatible Base model:finetune:qwen/qwen1...   Base model:qwen/qwen1.5-0.5b   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/numind/NuExtract-tiny 

NuExtract Tiny Benchmarks

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

NuExtract Tiny Parameters and Internals

Model Type 
information extraction
Use Cases 
Limitations:
Model is outdated
Additional Notes 
The model performs well in zero-shot settings but is intended for fine-tuning on specific tasks.
Supported Languages 
en (Supported)
Training Details 
Data Sources:
high-quality synthetic dataset
Methodology:
fine-tuning
Context Length:
2000
Hardware Used:
GPU
Input Output 
Input Format:
Text (less than 2000 tokens) and a JSON template
Accepted Modalities:
text
Output Format:
Extracted information based on template
Performance Tips:
Fine-tune on a specific task with 30+ examples for better performance
LLM NameNuExtract Tiny
Repository ๐Ÿค—https://huggingface.co/numind/NuExtract-tiny 
Base Model(s)  Qwen/Qwen1.5-0.5B   Qwen/Qwen1.5-0.5B
Model Size0.5b
Required VRAM1.9 GB
Updated2025-02-22
Maintainernumind
Model Typeqwen2
Model Files  1.9 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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

Rank the NuExtract Tiny 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 v20241227