LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Pythia 6.9B by EleutherAI

 »  All LLMs  »  EleutherAI  »  Pythia 6.9B   URL Share it on

  28771   
  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-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: 0.13244
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)
🌟 Advertise your project 🚀

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
Updated2025-09-27
MaintainerEleutherAI
Model Typegpt_neox
Model Files  9.9 GB: 1-of-2   3.9 GB: 2-of-2   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

Best Alternatives to Pythia 6.9B

Best Alternatives
Context / RAM
Downloads
Likes
Pythia 6.9B Deduped 8K8K / 13.8 GB91
Ppo Tldr 6.9B2K / 13.8 GB80
...I Pythia 6.9B Deduped Sft Tldr2K / 27.4 GB1650
Pythia 6.9B Deduped2K / 13.8 GB68738
...I Pythia 6.9B Deduped Sft Tldr2K / 13.8 GB290
Oasst Pythia 6.9B 4000 Steps2K / 13.8 GB15430
Pythia 6.9B HC32K / 27.7 GB52
Open Instruct Pythia 6.9B Tulu2K / 27.6 GB11855
...an Large Pythia 6.9B Dev Phase2K / 27.6 GB63
Pythia 6.9B Deduped Alpaca2K / 27.6 GB81
Note: green Score (e.g. "73.2") means that the model is better than EleutherAI/pythia-6.9b.

Rank the Pythia 6.9B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 51545 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer