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Pygmalion 6B by PygmalionAI

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  Autotrain compatible   Conversational   En   Gptj   Pytorch   Region:us   Sharded   Tensorboard

Pygmalion 6B Benchmarks

MMLU Pro: 2.04
MUSR: 3.71
BBH: 5.09
IFEval: 20.91 vs 88 (so35)-76.2%
ARC: 40.53 vs 96.7 (so35)-58.1%
HellaSwag: 67.47 vs 95.3 (gpt4)-29.2%
MMLU: 25.73 vs 88.3 (so35)-70.9%
TruthfulQA: 32.53 vs 59 (gpt4)-44.9%
WinoGrande: 62.51 vs 87.5 (gpt4)-28.6%
GSM8K: 2.05 vs 96.4 (so35)-97.9%
MATH Lvl 5: 0.6
LLME Score: 0.1914
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Pygmalion 6B Parameters and Internals

LLM NamePygmalion 6B
Repository 🤗https://huggingface.co/PygmalionAI/pygmalion-6b 
Model Size6b
Required VRAM16.3 GB
Updated2024-09-07
MaintainerPygmalionAI
Model Typegptj
Model Files  10.4 GB: 1-of-2   5.9 GB: 2-of-2
Supported Languagesen
Model ArchitectureGPTJForCausalLM
Licensecreativeml-openrail-m
Model Max Length1024
Transformers Version4.26.0.dev0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50400
Torch Data Typefloat16
Activation Functiongelu_new
Errorsreplace
Pygmalion 6B (PygmalionAI/pygmalion-6b)

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Note: green Score (e.g. "73.2") means that the model is better than PygmalionAI/pygmalion-6b.

Rank the Pygmalion 6B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Multi-Language Support and Translation  

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Release v2024072803
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