WhiteRabbitNeo-13B-GGUF
| Property | Value |
|---|---|
| Parameter Count | 13B |
| Model Type | LLaMA2-based |
| License | LLaMA2 |
| Architecture | Transformer |
What is WhiteRabbitNeo-13B-GGUF?
WhiteRabbitNeo-13B-GGUF is a specialized AI model designed for offensive and defensive cybersecurity applications. Created by TheBloke, this GGUF version offers multiple quantization options ranging from 2-bit to 8-bit, making it highly versatile for different deployment scenarios. The model leverages a Tree of Thoughts approach for complex reasoning and decision-making.
Implementation Details
The model is available in various GGUF quantization formats, from Q2_K (5.43GB) to Q8_0 (13.83GB), allowing users to balance between model size and performance. It features a context length of 16384 tokens and implements specialized prompt templates for enhanced reasoning capabilities.
- Multiple quantization options for different hardware requirements
- Efficient GGUF format for optimal deployment
- Comprehensive reasoning system using Tree of Thoughts methodology
- GPU acceleration support with layer offloading capabilities
Core Capabilities
- Advanced cybersecurity analysis and reasoning
- Multi-path problem solving using Tree of Thoughts
- Systematic approach to breaking down complex questions
- Balanced evaluation of multiple solution paths
- Detailed explanation of reasoning processes
Frequently Asked Questions
Q: What makes this model unique?
The model combines advanced cybersecurity capabilities with a sophisticated reasoning system, making it particularly effective for security-related tasks while maintaining transparent thought processes.
Q: What are the recommended use cases?
The model is specifically designed for cybersecurity applications, including both offensive and defensive scenarios. It's particularly useful for security analysis, threat assessment, and security strategy development.
