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Megatron Gpt2 345M by robowaifudev

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  Arxiv:1909.08053   Autotrain compatible   Dataset:openwebtext Dataset:spacemanidol/cc-storie...   Dataset:wikitext   En   Endpoints compatible   Gpt2   Model-index   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/robowaifudev/megatron-gpt2-345m 

Megatron Gpt2 345M Benchmarks

ARC: 24.23 vs 96.7 (so35)-74.9%
HellaSwag: 39.18 vs 95.3 (gpt4)-58.9%
MMLU: 24.32 vs 88.3 (so35)-72.5%
TruthfulQA: 41.51 vs 59 (gpt4)-29.6%
WinoGrande: 52.96 vs 87.5 (gpt4)-39.5%
GSM8K: 0.23 vs 96.4 (so35)-99.8%
LLME Score: 0.13605
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Megatron Gpt2 345M (robowaifudev/megatron-gpt2-345m)
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Megatron Gpt2 345M Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is part of the Megatron-LM framework which supports model parallelism for training large models.
Training Details 
Data Sources:
Wikipedia, RealNews, OpenWebText, CC-Stories
Methodology:
Generative left-to-right transformer similar to GPT-2
Model Architecture:
Transformer
Input Output 
Input Format:
Text prompt
Accepted Modalities:
text
Output Format:
Generated text
LLM NameMegatron Gpt2 345M
Repository 🤗https://huggingface.co/robowaifudev/megatron-gpt2-345m 
Model Size345m
Required VRAM0.7 GB
Updated2025-09-07
Maintainerrobowaifudev
Model Typegpt2
Model Files  0.7 GB   0.7 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Transformers Version4.15.0
Vocabulary Size50257
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than robowaifudev/megatron-gpt2-345m.

Rank the Megatron Gpt2 345M 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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