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Slim Extract Tiny by llmware

 »  All LLMs  »  llmware  »  Slim Extract Tiny   URL Share it on

  75   
  Autotrain compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/llmware/slim-extract-tiny 

Slim Extract Tiny Benchmarks

LLME Score: 0.19524
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Slim Extract Tiny (llmware/slim-extract-tiny)

Slim Extract Tiny Parameters and Internals

Model Type 
specialized function-calling, extract capability
Use Cases 
Applications:
extracting items from text using customized keys
Primary Use Cases:
extraction of specific information from context passages
Additional Notes 
For fast inference use, the 'quantized tool' version is recommended.
Training Details 
Data Sources:
fine-tuned
Methodology:
fine-tuning
Model Architecture:
tiny-llama based
Input Output 
Input Format:
special prompt format
Accepted Modalities:
text
Output Format:
python dictionary with keys and extracted items
LLM NameSlim Extract Tiny
Repository 🤗https://huggingface.co/llmware/slim-extract-tiny 
Model Size1.1b
Required VRAM2.2 GB
Updated2025-02-22
Maintainerllmware
Model Typellama
Model Files  2.2 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.38.1
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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

Rank the Slim Extract Tiny 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 v20241227
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