Adolf Hitler by CharacterEcho

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  Autotrain compatible   Conversational Dataset:characterecho/adolf-hi...   Endpoints compatible   Region:us   Safetensors   Sharded   Stablelm   Tensorflow

Adolf Hitler Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Adolf Hitler (CharacterEcho/Adolf-Hitler)

Adolf Hitler Parameters and Internals

Model Type 
AI language model, text generation
Use Cases 
Areas:
academic, educational
Limitations:
Potential for misuse and misinformation
Considerations:
Use ethically and responsibly in academic contexts.
Additional Notes 
No speeches or texts from Hitler were used. Focus on motivational and positive aspects.
Training Details 
Data Sources:
CharacterEcho/Adolf-Hitler, HelpingAI-9B
Methodology:
Trained to simulate Hitler's language style for motivational and positive aspects. Dataset carefully selected and cleaned.
Input Output 
Input Format:
Text prompt with template format.
Accepted Modalities:
text
Output Format:
Textual response.
LLM NameAdolf Hitler
Repository ๐Ÿค—https://huggingface.co/CharacterEcho/Adolf-Hitler 
Model Size2.8b
Required VRAM10.6 GB
Updated2025-01-29
MaintainerCharacterEcho
Model Typestablelm
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   0.8 GB: 3-of-3
Model ArchitectureStableLmForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.42.3
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|im_end|>
Vocabulary Size50280
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than CharacterEcho/Adolf-Hitler.

Rank the Adolf Hitler 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227