Gleipnir 4B is a research monitor for AI control: it scores visible trajectories of tool-using AI agents for sabotage, data exfiltration, and other covert unauthorized actions taken while appearing to do an assigned task. It is a LoRA adapter for Qwen/Qwen3.5-4B, not a standalone model. Version 0.2 is trained on agent tool-use trajectories only, with the same data and recipe as Gleipnir 27B. It is the exact weight average of three training seeds (see Training). This release is an early research artifact intended for reproducibility and follow-up work. There is not yet a Gleipnir paper or blog post. It should not be treated as a production safety system or as evidence that an interaction is…
Independent publisher
Jeremias Ferrao
Jazhyc
Models in Library1
Datasets in Library0
Models on Hugging Face39
Followers2
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