Sheared Pythia 160M by princeton-nlp

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  Arxiv:2310.06694   Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us

Sheared Pythia 160M Benchmarks

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Sheared Pythia 160M Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
The Pile dataset
Data Volume:
0.4B tokens for pruning and 50B tokens for continued pre-training
Methodology:
Structured pruning
Model Architecture:
GPT-NeoX
LLM NameSheared Pythia 160M
Repository ๐Ÿค—https://huggingface.co/princeton-nlp/Sheared-Pythia-160m 
Model Size160m
Required VRAM0.7 GB
Updated2025-06-09
Maintainerprinceton-nlp
Model Typegpt_neox
Model Files  0.7 GB
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typefloat32
Sheared Pythia 160M (princeton-nlp/Sheared-Pythia-160m)

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Note: green Score (e.g. "73.2") means that the model is better than princeton-nlp/Sheared-Pythia-160m.

Rank the Sheared Pythia 160M 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 v20241124