WhiteRabbitNeo 7B V1.5a by WhiteRabbitNeo

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  Autotrain compatible   Codegen   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

WhiteRabbitNeo 7B V1.5a Benchmarks

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

WhiteRabbitNeo 7B V1.5a Parameters and Internals

Model Type 
Offensive and Defensive Cybersecurity
Use Cases 
Areas:
Cybersecurity
LLM NameWhiteRabbitNeo 7B V1.5a
Repository 🤗https://huggingface.co/WhiteRabbitNeo/WhiteRabbitNeo-7B-v1.5a 
Model Size7b
Required VRAM13.5 GB
Updated2024-12-04
MaintainerWhiteRabbitNeo
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size32256
Torch Data Typebfloat16
WhiteRabbitNeo 7B V1.5a (WhiteRabbitNeo/WhiteRabbitNeo-7B-v1.5a)

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Note: green Score (e.g. "73.2") means that the model is better than WhiteRabbitNeo/WhiteRabbitNeo-7B-v1.5a.

Rank the WhiteRabbitNeo 7B V1.5a 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 v20241124