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Pythia 12B Deduped by EleutherAI

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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-12b-deduped 

Pythia 12B Deduped Benchmarks

ARC: 41.38 vs 96.7 (so35)-57.2%
HellaSwag: 70.26 vs 95.3 (gpt4)-26.3%
MMLU: 25.63 vs 88.3 (so35)-71%
TruthfulQA: 33 vs 59 (gpt4)-44.1%
WinoGrande: 66.46 vs 87.5 (gpt4)-24%
GSM8K: 1.44 vs 96.4 (so35)-98.5%
LLME Score: 0.16984
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 12B Deduped (EleutherAI/pythia-12b-deduped)

Pythia 12B 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 12B Deduped
Repository 🤗https://huggingface.co/EleutherAI/pythia-12b-deduped 
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
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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H2ogpt Gm Oasst1 En 1024 12B2K / 23.8 GB12585
Pythia 12B Sft V8.2.5K Steps2K / 23.8 GB12490
Note: green Score (e.g. "73.2") means that the model is better than EleutherAI/pythia-12b-deduped.

Rank the Pythia 12B 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 v20241217
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