Deception Filteredpositive by nshan144

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  Autotrain compatible   Endpoints compatible   Gptj   Pytorch   Region:us   Sharded

Deception Filteredpositive Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deception Filteredpositive (nshan144/deception_filteredpositive)

Deception Filteredpositive Parameters and Internals

LLM NameDeception Filteredpositive
Repository 🤗https://huggingface.co/nshan144/deception_filteredpositive 
Model Size6b
Required VRAM12.2 GB
Updated2024-12-30
Maintainernshan144
Model Typegptj
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   2.2 GB: 3-of-3
Model ArchitectureGPTJForCausalLM
Model Max Length2048
Transformers Version4.42.3
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size50400
Torch Data Typebfloat16
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nshan144/deception_filteredpositive.

Rank the Deception Filteredpositive 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