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

Pythia 6.9B Benchmarks

MMLU Pro: 1.63
GPQA: 0.22
MUSR: 3.81
BBH: 5.88
IFEval: 22.81 vs 88 (so35)-74.1%
MATH Lvl 5: 1.44
LLME Score: 0.1603
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 (EleutherAI/pythia-6.9b)

Pythia 6.9B Parameters and Internals

Model Type 
transformer-based, language model
Use Cases 
Areas:
Research, Scientific Experiments
Primary Use Cases:
Behavior and functionality study of large language models
Limitations:
Not intended for deployment, May produce harmful or offensive text, English-language only
Considerations:
Conduct risk and bias assessment before use.
Additional Notes 
Non-embedding parameters: 6,444,163,072.
Supported Languages 
English (Fluent)
Training Details 
Data Sources:
the Pile
Data Volume:
299,892,736,000 tokens
Methodology:
Trained on deduplicated and non-deduplicated data, with checkpoints. Same hyperparameters for deduped and non-deduped models.
Model Architecture:
Transformer-based
Release Notes 
Version:
Current Release
Date:
January 2023
Notes:
Rename of models. Uniform batch size training. Added early checkpoints. Used Flash Attention.
LLM NamePythia 6.9B
Repository 🤗https://huggingface.co/EleutherAI/pythia-6.9b 
Model Size6.9b
Required VRAM13.8 GB
Updated2025-03-18
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.

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Release v20241227
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