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Sheared Pythia 160M by princeton-nlp

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Sheared Pythia 160M is an open-source language model by princeton-nlp. Features: 160m LLM, VRAM: 0.7GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 22.4, HellaSwag: 32.1, MMLU: 26.7, GSM8K: 0.4.

  Arxiv:2310.06694   Endpoints compatible   Gpt neox   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/princeton-nlp/Sheared-Pythia-160m 

Sheared Pythia 160M Benchmarks

ARC: 22.44 vs 96.7 (so35)-76.8%
HellaSwag: 32.07 vs 95.3 (gpt4)-66.3%
MMLU: 26.65 vs 88.3 (so35)-69.8%
GSM8K: 0.38 vs 96.4 (so35)-99.6%
LLME Score: 0.15902
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sheared Pythia 160M (princeton-nlp/Sheared-Pythia-160m)
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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 🤗https://huggingface.co/princeton-nlp/Sheared-Pythia-160m 
Model Size160m
Required VRAM0.7 GB
Updated2026-05-22
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

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Pythia 160M Deduped2K / 0.4 GB888663
Pythia 160m Sft2K / 0 GB70
Pythia 160M Dolphin Extended2K / 0.3 GB7200
...hia 160M Deduped Step92k 193bt2K / 0.4 GB9730
Pythia 160M Storytelling2K / 0.3 GB90
Pythia160m Sft Tldr2K / 0.6 GB100
Pythia 160m Ft CookingRecipes2K / 0.6 GB50
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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