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GPT J 6B English Quotes by nlpulse

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  Autotrain compatible   Dataset:abirate/english quotes   En   Endpoints compatible   Gptj   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/nlpulse/gpt-j-6b-english_quotes 

GPT J 6B English Quotes Benchmarks

LLME Score: 0.09555
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT J 6B English Quotes (nlpulse/gpt-j-6b-english_quotes)
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GPT J 6B English Quotes Parameters and Internals

Model Type 
text generation
Supported Languages 
en (high)
Training Details 
Data Sources:
Abirate/english_quotes
Methodology:
3 epochs, all dataset samples (split=train), 939 steps
Training Time:
1h45min
Hardware Used:
1 x GPU NVidia RTX 3060 12GB - max. GPU memory: 7.44 GB
Input Output 
Performance Tips:
Fine-tuning performed with 4-bit quantization for efficient use of GPU memory; use BitsAndBytesConfig for quantization.
LLM NameGPT J 6B English Quotes
Repository 🤗https://huggingface.co/nlpulse/gpt-j-6b-english_quotes 
Model Size6b
Required VRAM24.1 GB
Updated2025-09-21
Maintainernlpulse
Model Typegptj
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   4.3 GB: 3-of-3
Supported Languagesen
Model ArchitectureGPTJForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.31.0.dev0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50400
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nlpulse/gpt-j-6b-english_quotes.

Rank the GPT J 6B English Quotes 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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