Hugging Face Overview
DeepHat-V1-7B: Cybersecurity and DevOps Expert
DeepHat-V1-7B is a 7.6 billion parameter causal language model developed by DeepHat, building upon the Qwen2.5-Coder-7B architecture. This model is specifically fine-tuned to serve as an expert assistant in the domains of cybersecurity and DevOps, making it suitable for both offensive and defensive security tasks.
Key Capabilities
- Cybersecurity Expertise: Optimized for tasks related to offensive and defensive cybersecurity.
- DevOps Assistance: Functions as a knowledgeable assistant for DevOps-related queries and tasks.
- Extended Context Length: Inherits a substantial 131,072 token context window, with support for processing even longer texts using YaRN scaling up to 32,768 original tokens.
- Code Generation: As a finetune of a Coder model, it retains capabilities for generating code, demonstrated by examples like quick sort algorithms.
When to Use This Model
DeepHat-V1-7B is ideal for use cases requiring a specialized AI assistant with deep knowledge in:
- Security Operations: Assisting with threat analysis, vulnerability assessment, and incident response.
- DevSecOps Integration: Providing guidance and automation for integrating security practices into development and operations workflows.
- Code-Related Security Tasks: Generating secure code snippets or identifying potential vulnerabilities in existing codebases.
Users should be aware of the specific usage restrictions outlined in its Apache-2.0 + DeepHat Extended Version license, particularly regarding military use, harmful content generation, and discriminatory applications.