GPT Neo 1.3B by EleutherAI

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  Arxiv:2101.00027   Autotrain compatible   Dataset:eleutherai/pile   En   Endpoints compatible   Gpt neo   Jax   Pytorch   Region:us   Rust   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/EleutherAI/gpt-neo-1.3B 

GPT Neo 1.3B Benchmarks

GPT Neo 1.3B (EleutherAI/gpt-neo-1.3B)

GPT Neo 1.3B Parameters and Internals

Model Type 
text generation, causal-lm
Use Cases 
Areas:
text generation, research
Limitations:
May produce socially unacceptable content, Requires curation for quality and safety
Considerations:
Human curation is recommended
Additional Notes 
Evaluation results show competitive performance in multiple areas.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
EleutherAI/pile
Data Volume:
380 billion tokens
Methodology:
trained as a masked autoregressive language model using cross-entropy loss
Training Time:
362,000 steps
Model Architecture:
transformer
Safety Evaluation 
Risk Categories:
profanity, lewd language
Ethical Considerations:
Model may produce socially unacceptable text
Responsible Ai Considerations 
Accountability:
Users should curate/filter outputs
Input Output 
Input Format:
Prompts in text format
Accepted Modalities:
text
Output Format:
Generated text sequences
LLM NameGPT Neo 1.3B
Repository ๐Ÿค—https://huggingface.co/EleutherAI/gpt-neo-1.3B 
Model Size1.3b
Required VRAM5.3 GB
Updated2025-02-13
MaintainerEleutherAI
Model Typegpt_neo
Model Files  5.3 GB   5.3 GB
Supported Languagesen
Model ArchitectureGPTNeoForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.9.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than EleutherAI/gpt-neo-1.3B.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227