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Llama 3.1 WhiteRabbitNeo 2 8B by WhiteRabbitNeo

 »  All LLMs  »  WhiteRabbitNeo  »  Llama 3.1 WhiteRabbitNeo 2 8B   URL Share it on

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Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Finetuned   Llama   Llama-3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/WhiteRabbitNeo/Llama-3.1-WhiteRabbitNeo-2-8B 

Llama 3.1 WhiteRabbitNeo 2 8B Benchmarks

LLME Score: 0.2287
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 WhiteRabbitNeo 2 8B (WhiteRabbitNeo/Llama-3.1-WhiteRabbitNeo-2-8B)

Llama 3.1 WhiteRabbitNeo 2 8B Parameters and Internals

Model Type 
cybersecurity, text generation
Additional Notes 
WhiteRabbitNeo is designed for offensive and defensive cybersecurity applications. It is being released in preview to assess societal impact.
Input Output 
Input Format:
Llama-3.1 Prompt Format
Accepted Modalities:
text
LLM NameLlama 3.1 WhiteRabbitNeo 2 8B
Repository 🤗https://huggingface.co/WhiteRabbitNeo/Llama-3.1-WhiteRabbitNeo-2-8B 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B   meta-llama/Meta-Llama-3.1-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-02-05
MaintainerWhiteRabbitNeo
Model Typellama
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
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.43.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than WhiteRabbitNeo/Llama-3.1-WhiteRabbitNeo-2-8B.

Rank the Llama 3.1 WhiteRabbitNeo 2 8B 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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