TARS-SFT-7B is a security reasoning model based on supervised fine-tuning. It serves as the basic model for reinforcement learning training and is specifically designed to enhance the security of AI systems. This model starts training from Qwen2.5-7B-Instruct and uses the reasoning process as an adaptive defense mechanism to improve the security performance of the model.

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DeepHat is a series of models that can be used for network security attack and defense. It is fine-tuned based on Qwen2.5-Coder-7B and focuses on the fields of network security and DevOps.

Natural Language ProcessingTransformersMultiple Languages