DeepHat/DeepHat-V1-7B
DeepHat/DeepHat-V1-7B is a 7.61 billion parameter causal language model developed by Kindo.ai, fine-tuned from Qwen2.5-Coder-7B. This model is specialized for offensive and defensive cybersecurity applications, leveraging its base architecture for code-related tasks. It features a context length of 32,768 tokens, extendable to 131,072 tokens using YaRN for long text processing. DeepHat is designed to assist with cybersecurity and DevOps tasks.
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DeepHat-V1-7B: Cybersecurity and DevOps LLM
DeepHat-V1-7B is a 7.61 billion parameter causal language model developed by Kindo.ai, specifically fine-tuned from Qwen2.5-Coder-7B. This model is engineered for applications in both offensive and defensive cybersecurity, as well as DevOps.
Key Capabilities
- Cybersecurity Expertise: Optimized to function as an expert assistant in cybersecurity, covering both offensive and defensive strategies.
- DevOps Support: Provides assistance for various DevOps-related tasks.
- Code Generation: Inherits strong code generation capabilities from its Qwen2.5-Coder-7B base.
- Extended Context Handling: Supports a default context length of 32,768 tokens, with the ability to process up to 131,072 tokens using the YaRN technique for long text inputs.
Good For
- Developers and security professionals seeking an LLM for cybersecurity analysis and task automation.
- Generating code snippets and algorithms, particularly in a cybersecurity context.
- Applications requiring processing of extensive technical documentation or logs due to its long context window.
Usage Restrictions
DeepHat-V1-7B operates under an Apache-2.0 license with specific DeepHat Extended Version restrictions. Users must adhere to strict guidelines prohibiting military use, generation of harmful or false information, exploitation of minors, and discriminatory applications. It is crucial to review the full license terms before deployment.