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Pythia 1B by EleutherAI

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  41099   
  Arxiv:2101.00027   Arxiv:2201.07311   Arxiv:2304.01373   Autotrain compatible   Dataset:the pile   En   Endpoints compatible   Gpt neox   Pythia   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/EleutherAI/pythia-1b 

Pythia 1B Benchmarks

MMLU Pro: 1.51
GPQA: 0.89
MUSR: 2.73
BBH: 2.29
IFEval: 22.08 vs 88 (so35)-74.9%
MATH Lvl 5: 0.91
LLME Score: 0.13834
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 1B (EleutherAI/pythia-1b)
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Pythia 1B Parameters and Internals

Model Type 
Transformer-based Language Model, Causal Language Model
Use Cases 
Areas:
Research
Applications:
Scientific Experiments
Primary Use Cases:
Research on behavior, functionality, and limitations of large language models
Limitations:
Not suitable for deployment, May generate harmful or offensive text, English-language only, Not suitable for translation or generating text in other languages
Considerations:
Intended for a controlled research environment to study large language models.
Additional Notes 
Pythia models matched or exceeded performance of similar models despite not focusing on downstream performance.
Supported Languages 
en (high proficiency)
Training Details 
Data Sources:
The Pile
Data Volume:
825 GiB
Methodology:
Uniform batch size with 143 checkpoints, trained on same data order
Model Architecture:
Transformer-based
Input Output 
Input Format:
Plain text input through tokenization
Accepted Modalities:
text
Output Format:
Text token predictions
Performance Tips:
Ensure proper allocation of computational resources for large model sizes.
Release Notes 
Version:
Current release
Date:
January 2023
Notes:
Model renamed in January 2023 as part of release changes.
LLM NamePythia 1B
Repository 🤗https://huggingface.co/EleutherAI/pythia-1b 
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.

Rank the Pythia 1B 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
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