SecGPT
| Property | Value |
|---|---|
| Base Model | Baichuan 13B |
| License | Apache 2.0 |
| Required VRAM | 30GB+ (35GB optimal) |
| Framework | PyTorch |
What is SecGPT?
SecGPT is a specialized language model designed specifically for cybersecurity applications. Built on the Baichuan 13B architecture, it's trained on security-focused datasets to provide unrestricted responses to cybersecurity queries, addressing the limitations of commercial models that often include ethical restrictions for security-related content.
Implementation Details
The model is implemented using the Transformers library and PEFT (Parameter-Efficient Fine-Tuning). It operates with 16-bit floating-point precision and requires substantial GPU memory (minimum 30GB VRAM) for operation. The model leverages custom datasets including w8ay/security-paper-datasets and TigerResearch/tigerbot-zhihu-zh-10k for training.
- Built on Baichuan 13B architecture with 13 billion parameters
- Implements float16 precision for efficient computation
- Utilizes custom tokenizer and model loading with remote code execution trust
- Supports configurable generation parameters including temperature and top_p sampling
Core Capabilities
- Specialized cybersecurity knowledge and responses
- Unrestricted security-focused content generation
- Support for both instruction-only and instruction-with-input formats
- Configurable response generation with customizable parameters
Frequently Asked Questions
Q: What makes this model unique?
SecGPT stands out for its specialized focus on cybersecurity without the ethical restrictions common in commercial models, making it particularly useful for security professionals and researchers who need detailed technical information.
Q: What are the recommended use cases?
The model is ideal for cybersecurity research, penetration testing guidance, security tool usage explanations, and general security-related queries. However, users should ensure they have adequate computational resources (30GB+ VRAM) for optimal performance.
