DealignAI released a specialized GLM-5.3-Flash-CYBERSECURITY model

DealignAI company presented GLM-5.3-Flash-CYBERSECURITY-W4A16 — a specialized version of the language model optimized for cybersecurity tasks. The release is focused on scenarios that require strict compliance and high accuracy of data processing.

The model uses W4A16 quantization, which allows reducing computational resource requirements while maintaining performance. In tests, the solution showed a result of 18 points with a query processing time of 2 hours. The developers claim 100% compliance with HB-compliance requirements, making the model suitable for use in corporate environments with strict regulatory restrictions.

To work correctly in multi-turn dialogue mode, users need to activate the parser with the command --reasoning-parser glm45. The architecture supports MTP (Multi-Token Prediction) technology for speculative decoding, which accelerates response generation. Also, full compatibility with the tool call format from OpenAI is implemented.

The release of this version expands the possibilities of applying compact models in narrow specialized industries. The use of quantized weights in combination with support for standard API interfaces simplifies the integration of the model into existing security monitoring systems and automated threat analysis.