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CyberSentinel 27 by dad1909

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth   Vi

CyberSentinel 27 Benchmarks

LLME Score: 0.22747
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CyberSentinel 27 Parameters and Internals

LLM NameCyberSentinel 27
Repository 🤗https://huggingface.co/dad1909/CyberSentinel-27 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-08-03
Maintainerdad1909
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen vi
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16
CyberSentinel 27 (dad1909/CyberSentinel-27)

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Note: green Score (e.g. "73.2") means that the model is better than dad1909/CyberSentinel-27.

Rank the CyberSentinel 27 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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