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Pythia 31M by ethzanalytics

 »  All LLMs  »  ethzanalytics  »  Pythia 31M   URL Share it on

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  Autotrain compatible Base model:eleutherai/pythia-3... Base model:finetune:eleutherai...   Dataset:eleutherai/pile   En   Endpoints compatible   Gpt neox   Region:us   Safetensors   Smol
Model Card on HF 🤗: https://huggingface.co/ethzanalytics/pythia-31m 

Pythia 31M Benchmarks

ARC: 19.97 vs 96.7 (so35)-79.3%
HellaSwag: 26.34 vs 95.3 (gpt4)-72.4%
MMLU: 24.27 vs 88.3 (so35)-72.5%
TruthfulQA: 50.12 vs 59 (gpt4)-15.1%
WinoGrande: 49.09 vs 87.5 (gpt4)-43.9%
LLME Score: 0.18068
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 31M (ethzanalytics/pythia-31m)

Pythia 31M Parameters and Internals

Model Type 
text-generation
Additional Notes 
This is a smaller version of the 'official' checkpoints included in the Pythia study and explicitly saved in fp32 to see safetensors params.
Supported Languages 
primary (en)
LLM NamePythia 31M
Repository 🤗https://huggingface.co/ethzanalytics/pythia-31m 
Base Model(s)  Pythia 31M   EleutherAI/pythia-31m
Model Size31m
Required VRAM0.1 GB
Updated2025-02-22
Maintainerethzanalytics
Model Typegpt_neox
Model Files  0.1 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.33.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than ethzanalytics/pythia-31m.

Rank the Pythia 31M 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 v20241227
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