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GPT 2 Large 115K Steps by DrNicefellow

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  Autotrain compatible   Endpoints compatible   Gpt2   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/DrNicefellow/GPT-2-Large-115k-steps 

GPT 2 Large 115K Steps Benchmarks

ARC: 22.7 vs 96.7 (so35)-76.5%
HellaSwag: 27.79 vs 95.3 (gpt4)-70.8%
MMLU: 25.52 vs 88.3 (so35)-71.1%
TruthfulQA: 45.67 vs 59 (gpt4)-22.6%
WinoGrande: 53.51 vs 87.5 (gpt4)-38.8%
GSM8K: 0.08 vs 96.4 (so35)-99.9%
LLME Score: 0.24356
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT 2 Large 115K Steps (DrNicefellow/GPT-2-Large-115k-steps)

GPT 2 Large 115K Steps Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is trained using a tokenizer from GPT-2 available at https://huggingface.co/openai-community/gpt2 during step 115k. The evaluation process is currently underway.
Training Details 
Data Volume:
400B tokens
LLM NameGPT 2 Large 115K Steps
Repository 🤗https://huggingface.co/DrNicefellow/GPT-2-Large-115k-steps 
Required VRAM0 GB
Updated2024-12-22
MaintainerDrNicefellow
Model Typegpt2
Model Files  6.2 GB   3.1 GB   0.0 GB   0.0 GB
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.38.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than DrNicefellow/GPT-2-Large-115k-steps.

Rank the GPT 2 Large 115K Steps 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 v20241217
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