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Adventien GPTJ by digitous

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Adventien GPTJ is an open-source language model by digitous. Features: LLM, VRAM: 12.3GB, HF Score: 39.3, LLM Explorer Score: 0.11, Arc: 42.5, HellaSwag: 69.2, MMLU: 25.4, TruthfulQA: 37, WinoGrande: 60.2, GSM8K: 1.6.

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

Adventien GPTJ Benchmarks

ARC: 42.49 vs 96.7 (so35)-56.1%
HellaSwag: 69.21 vs 95.3 (gpt4)-27.4%
MMLU: 25.4 vs 88.3 (so35)-71.2%
TruthfulQA: 36.95 vs 59 (gpt4)-37.4%
WinoGrande: 60.22 vs 87.5 (gpt4)-31.2%
GSM8K: 1.59 vs 96.4 (so35)-98.4%
LLME Score: 0.1076
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Adventien GPTJ (digitous/Adventien-GPTJ)
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Adventien GPTJ Parameters and Internals

LLM NameAdventien GPTJ
Repository 🤗https://huggingface.co/digitous/Adventien-GPTJ 
Required VRAM12.3 GB
Updated2026-03-29
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
Model Max Length2048
Transformers Version4.24.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50400
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than digitous/Adventien-GPTJ.

Rank the Adventien 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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