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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 Parameters and Internals

LLM NameCyberSentinel 27
RepositoryOpen on 🤗 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-07-27
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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...struct Gradient 1048K MAC Lora0.31024K / 5.9 GB227290
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... Instruct Gradient 1048K Agent0.21024K / 16.1 GB2641
Llama 3 8B Instruct 1048K0.21024K / 16.1 GB364
... V0.1.0 Llama 3 8B Instruct 1M0.21024K / 16.1 GB280
Llama 3 8B Instruct V41 1048K0.21024K / 16.1 GB173
Llama 3 8B Instruct V41 1048K—1024K / 16.1 GB00
...ma3 8B 360Zhinao 360K Instruct0.2361K / 16.1 GB44
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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

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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 v2024072501
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