WhiteRabbitNeo-33B-v1.5
Property | Value |
---|---|
Parameter Count | 33.3B |
Model Type | Text Generation / Cybersecurity |
Architecture | LLaMA-based |
License | DeepSeek |
Tensor Type | FP16 |
What is WhiteRabbitNeo-33B-v1.5?
WhiteRabbitNeo-33B-v1.5 is a specialized large language model designed for cybersecurity applications, capable of both offensive and defensive security analysis. Built on the DeepSeek architecture, this model represents a significant advancement in AI-powered security tooling, offering comprehensive capabilities in vulnerability assessment, code analysis, and security consulting.
Implementation Details
The model is implemented using the Transformers architecture and supports various deployment options including 8-bit quantization. It's optimized for text-generation-inference and conversational interactions, making it suitable for both automated security analysis and interactive security consulting scenarios.
- FP16 precision for efficient computation
- Supports both 4-bit and 8-bit quantization
- Implements advanced sampling parameters (top-p, temperature, top-k)
- Optimized for security-focused code generation and analysis
Core Capabilities
- Comprehensive port scanning and vulnerability assessment
- Detection of outdated software and default credentials
- Analysis of security misconfigurations and injection flaws
- Identification of encryption vulnerabilities and API security issues
- Assessment of authentication and session management vulnerabilities
- Analysis of DoS vulnerabilities and buffer overflows
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized focus on cybersecurity, combining both offensive and defensive capabilities in a single 33B parameter model. It's particularly noteworthy for its comprehensive coverage of security topics and ability to analyze complex security scenarios.
Q: What are the recommended use cases?
The model is ideal for security auditing, vulnerability assessment, code security analysis, and security consulting. It can be used for both automated security scanning and interactive security analysis scenarios, making it valuable for security professionals and developers alike.