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CyberBase 13B by CyberNative

 »  All LLMs  »  CyberNative  »  CyberBase 13B   URL Share it on

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  Arxiv:2306.05685   Arxiv:2307.09288   8-bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/CyberNative/CyberBase-13b 

CyberBase 13B Benchmarks

LLME Score: 0.12964
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CyberBase 13B (CyberNative/CyberBase-13b)

CyberBase 13B Parameters and Internals

Model Type 
Auto-regressive language model, Transformers
Use Cases 
Areas:
Cyber security, Research
Applications:
Cybersecurity analysis, Penetration testing
Primary Use Cases:
Cyber security artificial intelligence assistant
Limitations:
Base model for fine-tuning, not recommended for standalone use
Training Details 
Data Sources:
CyberNative/github_cybersecurity_READMEs
Methodology:
QLORA fine-tuning
Context Length:
4096
Hardware Used:
Single 3090
Input Output 
Input Format:
Prompt-based input
Accepted Modalities:
Text
Output Format:
Text-based responses
LLM NameCyberBase 13B
Repository 🤗https://huggingface.co/CyberNative/CyberBase-13b 
Model Size13b
Required VRAM13.4 GB
Updated2025-02-22
MaintainerCyberNative
Model Typellama
Model Files  10.0 GB: 1-of-2   3.4 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat16

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Airoboros L2 13B 2.1 YaRN 64K64K / 26 GB137
Note: green Score (e.g. "73.2") means that the model is better than CyberNative/CyberBase-13b.

Rank the CyberBase 13B 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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Release v20241227
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