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WhiteRabbitNeo 33B V1 by WhiteRabbitNeo

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  Autotrain compatible   Codegen   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/WhiteRabbitNeo/WhiteRabbitNeo-33B-v1 

WhiteRabbitNeo 33B V1 Benchmarks

ARC: 44.37 vs 96.7 (so35)-54.1%
HellaSwag: 60.22 vs 95.3 (gpt4)-36.8%
MMLU: 40.56 vs 88.3 (so35)-54.1%
TruthfulQA: 41.68 vs 59 (gpt4)-29.4%
WinoGrande: 61.01 vs 87.5 (gpt4)-30.3%
GSM8K: 33.74 vs 96.4 (so35)-65%
LLME Score: 0.22382
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WhiteRabbitNeo 33B V1 (WhiteRabbitNeo/WhiteRabbitNeo-33B-v1)

WhiteRabbitNeo 33B V1 Parameters and Internals

Model Type 
cybersecurity, text generation
Use Cases 
Areas:
cybersecurity
Applications:
offensive cybersecurity, defensive cybersecurity
Additional Notes 
The model includes a "Prompt Enhancement" feature for improved performance. It is used both in offensive and defensive cybersecurity contexts and pilots a public preview to assess its societal impact. The model uses a cognitive reasoning process it terms "Tree of Thoughts" to provide comprehensive answers.
LLM NameWhiteRabbitNeo 33B V1
Repository 🤗https://huggingface.co/WhiteRabbitNeo/WhiteRabbitNeo-33B-v1 
Model Size33b
Required VRAM67 GB
Updated2024-12-26
MaintainerWhiteRabbitNeo
Model Typellama
Model Files  4.9 GB: 1-of-14   4.8 GB: 2-of-14   4.8 GB: 3-of-14   4.8 GB: 4-of-14   4.8 GB: 5-of-14   4.8 GB: 6-of-14   4.8 GB: 7-of-14   4.8 GB: 8-of-14   4.8 GB: 9-of-14   4.8 GB: 10-of-14   4.8 GB: 11-of-14   4.8 GB: 12-of-14   4.8 GB: 13-of-14   4.5 GB: 14-of-14
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than WhiteRabbitNeo/WhiteRabbitNeo-33B-v1.

Rank the WhiteRabbitNeo 33B V1 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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