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Skegma GPTJ by digitous

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

Skegma GPTJ Benchmarks

ARC: 43.77 vs 96.7 (so35)-54.7%
HellaSwag: 69.22 vs 95.3 (gpt4)-27.4%
MMLU: 25.37 vs 88.3 (so35)-71.3%
TruthfulQA: 34.67 vs 59 (gpt4)-41.2%
WinoGrande: 64.64 vs 87.5 (gpt4)-26.1%
GSM8K: 1.52 vs 96.4 (so35)-98.4%
LLME Score: 0.12297
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Skegma GPTJ (digitous/Skegma-GPTJ)
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Skegma GPTJ Parameters and Internals

Additional Notes 
This model is a 50/50 merge of KoboldAI's adventure-based language model, GPT-J-6B-Skein, and PygmalionAI's Pygmalion-6b.
LLM NameSkegma GPTJ
Repository 🤗https://huggingface.co/digitous/Skegma-GPTJ 
Required VRAM12.3 GB
Updated2025-09-23
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
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/Skegma-GPTJ.

Rank the Skegma GPTJ Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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