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Pythia 12B by EleutherAI

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  Arxiv:2101.00027   Arxiv:2201.07311   Arxiv:2304.01373   Autotrain compatible   Dataset:eleutherai/pile   En   Endpoints compatible   Gpt neox   Pythia   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/EleutherAI/pythia-12b 

Pythia 12B Benchmarks

MMLU Pro: 1.21
MUSR: 3.79
BBH: 4.99
IFEval: 24.71 vs 88 (so35)-71.9%
ARC: 39.59 vs 96.7 (so35)-59.1%
HellaSwag: 68.82 vs 95.3 (gpt4)-27.8%
MMLU: 26.76 vs 88.3 (so35)-69.7%
TruthfulQA: 31.85 vs 59 (gpt4)-46%
WinoGrande: 64.17 vs 87.5 (gpt4)-26.7%
GSM8K: 1.74 vs 96.4 (so35)-98.2%
MATH Lvl 5: 0.91
LLME Score: 0.18995
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 12B (EleutherAI/pythia-12b)

Pythia 12B Parameters and Internals

Model Type 
Transformer-based Language Model
Use Cases 
Areas:
Research
Applications:
Scientific experiments
Primary Use Cases:
Interpretability Research
Limitations:
Not intended for deployment, English-language only, Not suitable for translation or generating text in other languages
Considerations:
Potential for generating harmful or offensive text
Additional Notes 
Pythia models are intended to facilitate interpretability research. They are not suitable as standalone products for human interactions.
Supported Languages 
English (fluent)
Training Details 
Data Sources:
EleutherAI/pile
Data Volume:
299,892,736,000 tokens
Methodology:
Training for 143000 steps, batch size 2M tokens
Model Architecture:
Transformer-based
Input Output 
Input Format:
String of text
Accepted Modalities:
Text
Output Format:
String of text
Release Notes 
Version:
Current release
Date:
January 2023
Notes:
Renamed Pythia models and retrained addressing hyperparameter discrepancies. Uniform batch size for all models.
LLM NamePythia 12B
Repository 🤗https://huggingface.co/EleutherAI/pythia-12b 
Model Size12b
Required VRAM23.8 GB
Updated2024-12-21
MaintainerEleutherAI
Model Typegpt_neox
Model Files  9.8 GB: 1-of-3   9.9 GB: 2-of-3   4.1 GB: 3-of-3   9.8 GB: 1-of-3   9.9 GB: 2-of-3   4.1 GB: 3-of-3
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.24.0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50688
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than EleutherAI/pythia-12b.

Rank the Pythia 12B 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 v20241217
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