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Jellyfish 13B by NECOUDBFM

 »  All LLMs  »  NECOUDBFM  »  Jellyfish 13B   URL Share it on

  125   
  Arxiv:1904.02285   Arxiv:2004.00584   Arxiv:2205.09911   Arxiv:2301.13688   Arxiv:2306.00745   Arxiv:2306.02707   Arxiv:2308.07317   Arxiv:2308.16361   Arxiv:2310.12537   Arxiv:2312.01678   Autotrain compatible   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/NECOUDBFM/Jellyfish-13B 

Jellyfish 13B Benchmarks

LLME Score: 0.14766
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jellyfish 13B (NECOUDBFM/Jellyfish-13B)

Jellyfish 13B Parameters and Internals

Model Type 
Large Language Model, Data Preprocessing
Use Cases 
Areas:
data preprocessing, NLP
Primary Use Cases:
error detection, data imputation, schema matching, entity matching
Supported Languages 
English (High proficiency)
Training Details 
Data Sources:
HazyResearch/fm_data_tasks, RAHA, SMAT, IPM
Methodology:
Fine-tuning using instruction tuning datasets
LLM NameJellyfish 13B
Repository 🤗https://huggingface.co/NECOUDBFM/Jellyfish-13B 
Model Size13b
Required VRAM26 GB
Updated2025-01-15
MaintainerNECOUDBFM
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than NECOUDBFM/Jellyfish-13B.

Rank the Jellyfish 13B 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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Release v20241227
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