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Javalion GPTJ by digitous

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  Autotrain compatible   Endpoints compatible   Gptj   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/digitous/Javalion-GPTJ 

Javalion GPTJ Benchmarks

ARC: 41.89 vs 96.7 (so35)-56.7%
HellaSwag: 68.69 vs 95.3 (gpt4)-27.9%
MMLU: 26.85 vs 88.3 (so35)-69.6%
TruthfulQA: 35.44 vs 59 (gpt4)-39.9%
WinoGrande: 65.27 vs 87.5 (gpt4)-25.4%
GSM8K: 1.67 vs 96.4 (so35)-98.3%
LLME Score: 0.12465
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Javalion GPTJ (digitous/Javalion-GPTJ)
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Javalion GPTJ Parameters and Internals

LLM NameJavalion GPTJ
Repository 🤗https://huggingface.co/digitous/Javalion-GPTJ 
Required VRAM12.3 GB
Updated2025-08-17
Maintainerdigitous
Model Typegptj
Model Files  2.1 GB: 1-of-6   2.1 GB: 2-of-6   2.1 GB: 3-of-6   2.1 GB: 4-of-6   2.0 GB: 5-of-6   1.9 GB: 6-of-6
Model ArchitectureGPTJForCausalLM
Licensecreativeml-openrail-m
Model Max Length2048
Transformers Version4.24.0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50400
Torch Data Typefloat16
Activation Functiongelu_new
Errorsreplace

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Context / RAM
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...Merge Pygmalion Main Onto V8P40K / 12.3 GB19271
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Skegma GPTJ0K / 12.3 GB17770
Javalion R0K / 12.3 GB17915
Adventien GPTJ0K / 12.3 GB17950
Janin GPTJ0K / 12.3 GB17950
Javelin R0K / 12.3 GB17812
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Janin R0K / 12.3 GB17751
Note: green Score (e.g. "73.2") means that the model is better than digitous/Javalion-GPTJ.

Rank the Javalion GPTJ 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 v20241124
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