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Pythia 31M Simplepile Lite 2048 Scratch 2e by pszemraj

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  2010   
  Autotrain compatible Dataset:pszemraj/simplepile-li...   Endpoints compatible   Generated from trainer   Gpt neox   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/pszemraj/pythia-31m-simplepile-lite-2048-scratch-2e 

Pythia 31M Simplepile Lite 2048 Scratch 2e Benchmarks

ARC: 21.59 vs 96.7 (so35)-77.7%
HellaSwag: 25.79 vs 95.3 (gpt4)-72.9%
MMLU: 24.99 vs 88.3 (so35)-71.7%
TruthfulQA: 50.62 vs 59 (gpt4)-14.2%
WinoGrande: 48.62 vs 87.5 (gpt4)-44.4%
LLME Score: 0.1993
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 31M Simplepile Lite 2048 Scratch 2e (pszemraj/pythia-31m-simplepile-lite-2048-scratch-2e)

Pythia 31M Simplepile Lite 2048 Scratch 2e Parameters and Internals

Model Type 
text-generation
Training Details 
Context Length:
2048
Input Output 
Input Format:
parameters: max_new_tokens: 64 do_sample: true repetition_penalty: 1.1 no_repeat_ngram_size: 5 guidance_scale: 1.01 eta_cutoff: 0.001
Accepted Modalities:
text
LLM NamePythia 31M Simplepile Lite 2048 Scratch 2e
Repository 🤗https://huggingface.co/pszemraj/pythia-31m-simplepile-lite-2048-scratch-2e 
Model Size31m
Required VRAM0.1 GB
Updated2025-02-22
Maintainerpszemraj
Model Typegpt_neox
Model Files  0.1 GB   0.0 GB
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.33.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than pszemraj/pythia-31m-simplepile-lite-2048-scratch-2e.

Rank the Pythia 31M Simplepile Lite 2048 Scratch 2e 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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Release v20241227
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