TinyStories 33M by roneneldan

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  Arxiv:2305.07759   Autotrain compatible   Dataset:roneneldan/tinystories   Endpoints compatible   Gpt neo   Pytorch   Region:us

TinyStories 33M Benchmarks

TinyStories 33M (roneneldan/TinyStories-33M)

TinyStories 33M Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
roneneldan/TinyStories
Context Length:
512
Model Architecture:
GPT-Neo
Input Output 
Input Format:
tokenized text
Accepted Modalities:
text
Output Format:
generated text
LLM NameTinyStories 33M
Repository ๐Ÿค—https://huggingface.co/roneneldan/TinyStories-33M 
Model Size33m
Required VRAM0.3 GB
Updated2025-01-24
Maintainerroneneldan
Model Typegpt_neo
Model Files  0.3 GB
Model ArchitectureGPTNeoForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

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Rank the TinyStories 33M 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227