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Pythia 1B Deduped V0 by EleutherAI

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  Arxiv:2101.00027   Arxiv:2201.07311   Autotrain compatible Dataset:eleutherai/the pile de...   En   Endpoints compatible   Gpt neox   Pythia   Pythia v0   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/EleutherAI/pythia-1b-deduped-v0 

Pythia 1B Deduped V0 Benchmarks

LLME Score: 0.05645
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 1B Deduped V0 (EleutherAI/pythia-1b-deduped-v0)
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Pythia 1B Deduped V0 Parameters and Internals

Model Type 
Transformer-based Language Model, Causal Language Model
Use Cases 
Areas:
Research
Applications:
Testing and evaluation of LLMs, Model interpretability studies
Primary Use Cases:
Study of model behavior and training trajectory, Research into language model interpretability
Limitations:
Not suitable for production or human-facing applications, English-only, not meant for translation
Considerations:
Users should be aware of ethical considerations regarding data bias and output interpretation.
Additional Notes 
Not suitable for real-time applications or those requiring factually reliable outputs.
Supported Languages 
English (native)
Training Details 
Data Sources:
EleutherAI/the_pile_deduplicated
Data Volume:
299,892,736,000 tokens
Methodology:
Trained on the Pile after the dataset has been globally deduplicated.
Training Time:
Not specified
Model Architecture:
GPT-NeoX
Responsible Ai Considerations 
Fairness:
The model may produce biased results and contains biases present in the Pile dataset.
Transparency:
The training data and method are documented and publicly available.
Accountability:
EleutherAI for the model development; users for implementations.
Mitigation Strategies:
Not detailed, users are advised to conduct risk assessments.
Input Output 
Input Format:
Text (UTF-8 encoded, tokenized)
Accepted Modalities:
text
Output Format:
Tokenized text
Performance Tips:
Preceding text influences output quality; consider prompt design.
Release Notes 
Version:
1
Date:
January 2023
Notes:
Renaming of models and specific check points provided.
LLM NamePythia 1B Deduped V0
Repository 🤗https://huggingface.co/EleutherAI/pythia-1b-deduped-v0 
Model Size1b
Required VRAM2.1 GB
Updated2025-09-23
MaintainerEleutherAI
Model Typegpt_neox
Model Files  2.1 GB   2.1 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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C2S Scale Pythia 1B Pt8K / 0 GB14807
Pythia 2.8B Deduped Rp 710M 4K4K / 11.7 GB61
Pythia 1.4B Deduped Rp 420M 4K4K / 6.1 GB61
Pythia 1.4B Deduped Rp 280M 4K4K / 6.1 GB61
Pythia 1B Deduped Tldr Sft2K / 2 GB63540
...eduped Tldr Preference Sft Trl2K / 2 GB140
Pythia 1B Kto Iter02K / 2 GB60
Pythia 1B Self Kto Iter02K / 2 GB60
...rAI Pythia 1B Deduped Sft Tldr2K / 4 GB25280
Rloo Trial22K / 2 GB80
Note: green Score (e.g. "73.2") means that the model is better than EleutherAI/pythia-1b-deduped-v0.

Rank the Pythia 1B Deduped 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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Release v20241124
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