Abliterated GLM 5.3 Model Debuts for Offensive Cyber, Ranking No. 3 on Terminal Bench 4.0

A new AI tool called abliterated-model-large-v2 provides offensive cyber, red teaming, and agent testing capabilities that standard models typically refuse to perform. Based on GLM-5.3, the US-hosted model utilizes FP8 precision and features a 1 million context window with zero input or output prompt retention.

The model provides 2x the cyber exploitation capability of GLM-5.2 and removes standard safety guardrails to facilitate the simulation of cyber attacks. It is specifically built to perform the offensive security work that commercial models are programmed to block.

GLM-5.3 ranks third on the Terminal-Bench 4.0 benchmark, trailing only Opus 5 and Fable. The release is now live, prompting security researchers to advise immediate red teaming of existing systems to identify and patch vulnerabilities before they can be exploited.