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Pythia 6.9B Deduped by EleutherAI

 »  All LLMs  »  EleutherAI  »  Pythia 6.9B Deduped   URL Share it on

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  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   Sharded
Model Card on HF 🤗: https://huggingface.co/EleutherAI/pythia-6.9b-deduped 

Pythia 6.9B Deduped Benchmarks

ARC: 41.3 vs 96.7 (so35)-57.3%
HellaSwag: 67.05 vs 95.3 (gpt4)-29.6%
MMLU: 26.48 vs 88.3 (so35)-70%
TruthfulQA: 35.19 vs 59 (gpt4)-40.4%
WinoGrande: 64.09 vs 87.5 (gpt4)-26.8%
GSM8K: 1.67 vs 96.4 (so35)-98.3%
LLME Score: 0.16116
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 6.9B Deduped (EleutherAI/pythia-6.9b-deduped)

Pythia 6.9B 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 6.9B Deduped
Repository 🤗https://huggingface.co/EleutherAI/pythia-6.9b-deduped 
Model Size6.9b
Required VRAM13.8 GB
Updated2025-02-22
MaintainerEleutherAI
Model Typegpt_neox
Model Files  9.9 GB: 1-of-2   3.9 GB: 2-of-2
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.24.0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than EleutherAI/pythia-6.9b-deduped.

Rank the Pythia 6.9B 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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