Pythia 70M V0 by EleutherAI

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  Arxiv:2101.00027   Arxiv:2201.07311   Autotrain compatible   Dataset:the pile   En   Endpoints compatible   Gpt neox   Pythia   Pythia v0   Pytorch   Region:us   Safetensors

Pythia 70M V0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 70M V0 (EleutherAI/pythia-70m-v0)
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Pythia 70M V0 Parameters and Internals

Model Type 
Transformer-based Language Model, causal-lm
Use Cases 
Areas:
research
Primary Use Cases:
Behavior analysis, functionality and limitations study of large language models
Limitations:
Not suitable for deployment, English-only, might generate undesired outputs
Considerations:
Model intended for interpretability research, not for real-world deployment interactions.
Additional Notes 
All Pythia models trained for the equivalent of 143000 steps. The model is not fine-tuned for downstream tasks like writing prose or commercial chatbot interaction.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
the Pile
Data Volume:
299,892,736,000 tokens
Model Architecture:
Transformer
Input Output 
Input Format:
String input
Accepted Modalities:
text
Output Format:
Generated text tokens
Performance Tips:
Curate generated outputs before use in applications.
LLM NamePythia 70M V0
Repository ๐Ÿค—https://huggingface.co/EleutherAI/pythia-70m-v0 
Model Size70m
Required VRAM0.2 GB
Updated2025-09-28
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 Version4.22.2
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-v0.

Rank the Pythia 70M V0 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 v20241124