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Pythia 70M Deduped by EleutherAI

 »  All LLMs  »  EleutherAI  »  Pythia 70M Deduped   URL Share it on

  126337   
  Arxiv:2101.00027   Arxiv:2201.07311   Arxiv:2304.01373   Autotrain compatible Dataset:eleutherai/the pile de...   En   Endpoints compatible   Gpt neox   Pythia   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/EleutherAI/pythia-70m-deduped 

Pythia 70M Deduped Benchmarks

ARC: 21.08 vs 96.7 (so35)-78.2%
HellaSwag: 27.17 vs 95.3 (gpt4)-71.5%
MMLU: 25.26 vs 88.3 (so35)-71.4%
TruthfulQA: 47.51 vs 59 (gpt4)-19.5%
WinoGrande: 49.64 vs 87.5 (gpt4)-43.3%
LLME Score: 0.20052
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 70M Deduped (EleutherAI/pythia-70m-deduped)

Pythia 70M Deduped Parameters and Internals

Model Type 
Transformer-based Language Model
Use Cases 
Areas:
Research
Applications:
Interpretability research
Primary Use Cases:
Scientific experiments on language models, Promoting interpretability research
Limitations:
Not suitable for deployment, Not suitable for translation or generating text in languages other than English
Considerations:
Please conduct your own risk and bias assessment when applying the model.
Additional Notes 
Please note that all models in the *Pythia* suite were renamed in January 2023.
Training Details 
Data Sources:
EleutherAI/the_pile_deduplicated
LLM NamePythia 70M Deduped
Repository 🤗https://huggingface.co/EleutherAI/pythia-70m-deduped 
Model Size70m
Required VRAM0.2 GB
Updated2025-02-22
MaintainerEleutherAI
Model Typegpt_neox
Model Files  0.2 GB   0.2 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.24.0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than EleutherAI/pythia-70m-deduped.

Rank the Pythia 70M Deduped 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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