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GPT Neox 20B Full Precision by dvruette

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  Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/dvruette/gpt-neox-20b-full-precision 

GPT Neox 20B Full Precision Benchmarks

ARC: 48.81 vs 96.7 (so35)-49.5%
HellaSwag: 74.44 vs 95.3 (gpt4)-21.9%
MMLU: 26.16 vs 88.3 (so35)-70.4%
TruthfulQA: 36.89 vs 59 (gpt4)-37.5%
WinoGrande: 68.27 vs 87.5 (gpt4)-22%
GSM8K: 2.65 vs 96.4 (so35)-97.3%
LLME Score: 0.14606
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Neox 20B Full Precision (dvruette/gpt-neox-20b-full-precision)

GPT Neox 20B Full Precision Parameters and Internals

Model Type 
text generation
LLM NameGPT Neox 20B Full Precision
Repository 🤗https://huggingface.co/dvruette/gpt-neox-20b-full-precision 
Model Size20b
Required VRAM82.5 GB
Updated2025-02-05
Maintainerdvruette
Model Typegpt_neox
Model Files  9.7 GB: 1-of-9   9.7 GB: 2-of-9   9.7 GB: 3-of-9   9.7 GB: 4-of-9   9.7 GB: 5-of-9   9.7 GB: 6-of-9   9.7 GB: 7-of-9   9.7 GB: 8-of-9   4.9 GB: 9-of-9
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50288
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than dvruette/gpt-neox-20b-full-precision.

Rank the GPT Neox 20B Full Precision Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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