WhiteRabbitNeo-13B-v1
| Property | Value |
|---|---|
| Model Size | 13B parameters |
| License | LLaMA-2 |
| Framework | PyTorch |
| Architecture | LLaMA-based Transformer |
What is WhiteRabbitNeo-13B-v1?
WhiteRabbitNeo-13B-v1 is a specialized language model designed for cybersecurity applications, built on the LLaMA-2 architecture. This model represents a public preview of an advanced AI system capable of handling both offensive and defensive cybersecurity tasks, featuring sophisticated reasoning capabilities through its Tree of Thoughts approach.
Implementation Details
The model is implemented using PyTorch and supports various optimization techniques including 8-bit quantization. It utilizes the transformers library and can be deployed with automated device mapping, making it suitable for different hardware configurations. The model implements a sophisticated prompt engineering system that enables multi-path reasoning for complex problem-solving.
- Supports 8-bit and 16-bit inference
- Implements automated device mapping for optimal performance
- Features custom tokenization and generation parameters
- Includes built-in system prompts for enhanced reasoning
Core Capabilities
- Advanced cybersecurity analysis and testing
- Multi-path reasoning for complex problem-solving
- Network security assessment and vulnerability analysis
- Detailed technical documentation generation
- Ethical hacking guidance with proper safeguards
Frequently Asked Questions
Q: What makes this model unique?
WhiteRabbitNeo-13B-v1 stands out for its specialized focus on cybersecurity applications and its implementation of a Tree of Thoughts reasoning system, allowing it to explore multiple solution paths for complex security challenges while maintaining ethical considerations.
Q: What are the recommended use cases?
The model is designed for cybersecurity professionals and researchers who need assistance with security testing, vulnerability assessment, and defensive security measures. It's important to note that usage must comply with legal and ethical guidelines as specified in the model's license.
