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GPT Neox 20B by EleutherAI

By EleutherAI · 794665 downloads
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GPT Neox 20B is an open-source language model by EleutherAI. Features: 20b LLM, VRAM: 40.8GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 45.7, HellaSwag: 73.5, MMLU: 25, GSM8K: 5.5.

  Arxiv:2101.00027   Arxiv:2104.09864   Arxiv:2201.07311   Arxiv:2204.06745   Dataset:eleutherai/pile   Deploy:azure   En   Endpoints compatible   Gpt neox   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/EleutherAI/gpt-neox-20b 

GPT Neox 20B Parameters and Internals

Model Type 
Transformer-based, Autoregressive, Language Model
Use Cases 
Areas:
Research, Development
Primary Use Cases:
Feature extraction, downstream task learning
Limitations:
Not for direct deployment, Possible biases and inaccuracies
Additional Notes 
Not deduplicated before training, which might influence the model's output integrity.
Supported Languages 
English (fluent)
Training Details 
Data Sources:
The Pile
Data Volume:
825 GiB
Methodology:
Auto-regressive training using the GPT-NeoX library
Context Length:
2048
Training Time:
Approx. 150,000 steps with 1538 sequences per step
Model Architecture:
Similar to GPT-3, with specifics available in the paper.
Safety Evaluation 
Risk Categories:
misinformation, bias
Ethical Considerations:
Various biases related to gender, religion, and race as discussed in the Pile paper.
Responsible Ai Considerations 
Fairness:
See Pile paper for discussion on biases
Input Output 
Input Format:
Text input required for prompts
Accepted Modalities:
text
Output Format:
Autoregressive next-token predictions
LLM NameGPT Neox 20B
Repository 🤗https://huggingface.co/EleutherAI/gpt-neox-20b 
Model Size20b
Required VRAM40.8 GB
Updated2026-07-24
MaintainerEleutherAI
Model Typegpt_neox
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Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.19.0.dev0
Vocabulary Size50432
Torch Data Typefloat16

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