AI BriefingOrcaCyber-Nano-1.0: Cybersecurity-Specialized Multimodal LLM, OrcaCyber-Nano
orcarouter/OrcaCyber-Nano-1.0
About the project
A multimodal LLM focused on cybersecurity, reverse engineering, and AI defense. It processes text and images simultaneously and is specialized in analyzing complex security issues. Distributed under the Qwen license, it can be freely used in local environments.
The model supports reasoning and function-calling. It is designed to explicitly output the internal reasoning process through 'thinking' tags, enhancing the transparency of the security analysis process. Three reasoning intensity levels can be set: xhigh, medium, and low.
Provided in GGUF format, it is compatible with various local inference engines such as llama.cpp, Ollama, and vLLM. Multiple quantization versions, including Q8_0, Mix-13G, and Mix-15.7G, are available to match hardware specifications. It supports English and Chinese.
Suitable for developers who need to perform security-related tasks locally without relying on cloud APIs. It can handle tasks such as code analysis, vulnerability detection, and understanding security documentation without sending sensitive data externally.
orcarouter/OrcaCyber-Nano-1.0
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