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SenecaLLM X Gemma 2 9B CyberSecurity by AlicanKiraz0

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  Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2-9b   Cybersecurity   Endpoints compatible   Ethicalhacking   Gemma2   Gguf   Gguf-my-repo   Informationsecurity   Llama-cpp   Pentest   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AlicanKiraz0/SenecaLLM_x_gemma-2-9b-CyberSecurity 

SenecaLLM X Gemma 2 9B CyberSecurity Benchmarks

LLME Score: 0.24641
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SenecaLLM X Gemma 2 9B CyberSecurity (AlicanKiraz0/SenecaLLM_x_gemma-2-9b-CyberSecurity)

SenecaLLM X Gemma 2 9B CyberSecurity Parameters and Internals

LLM NameSenecaLLM X Gemma 2 9B CyberSecurity
Repository 🤗https://huggingface.co/AlicanKiraz0/SenecaLLM_x_gemma-2-9b-CyberSecurity 
Base Model(s)  Gemma 2 9B   google/gemma-2-9b
Model Size9b
Required VRAM18.6 GB
Updated2025-02-22
MaintainerAlicanKiraz0
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureGemma2ForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.48.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than AlicanKiraz0/SenecaLLM_x_gemma-2-9b-CyberSecurity.

Rank the SenecaLLM X Gemma 2 9B CyberSecurity 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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Release v20241227
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