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GPT Neo 125M by EleutherAI

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  Autotrain compatible   Dataset:eleutherai/pile   En   Endpoints compatible   Gpt neo   Jax   Pytorch   Region:us   Rust   Safetensors

GPT Neo 125M Benchmarks

MMLU Pro: 0.28
GPQA: 0.45
MUSR: 2.62
BBH: 3.44
IFEval: 19.05 vs 88 (so35)-78.4%
ARC: 22.95 vs 96.7 (so35)-76.3%
HellaSwag: 30.26 vs 95.3 (gpt4)-68.2%
MMLU: 25.97 vs 88.3 (so35)-70.6%
TruthfulQA: 45.58 vs 59 (gpt4)-22.7%
WinoGrande: 51.78 vs 87.5 (gpt4)-40.8%
GSM8K: 0.3 vs 96.4 (so35)-99.7%
MATH Lvl 5: 0.45
LLME Score: 0.14399
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

GPT Neo 125M Parameters and Internals

LLM NameGPT Neo 125M
Repository 🤗https://huggingface.co/EleutherAI/gpt-neo-125m 
Model Size125m
Required VRAM0.5 GB
Updated2024-09-16
MaintainerEleutherAI
Model Typegpt_neo
Model Files  0.5 GB   0.5 GB
Supported Languagesen
Model ArchitectureGPTNeoForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.9.0.dev0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50257
Activation Functiongelu_new
Errorsreplace
GPT Neo 125M (EleutherAI/gpt-neo-125m)

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Note: green Score (e.g. "73.2") means that the model is better than EleutherAI/gpt-neo-125m.

Rank the GPT Neo 125M 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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