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ollama run Havenlon/Execution-Boundary-Qwen35-9B-Q4_K_M
Updated 1 month ago
1 month ago
fc4c767762d3 · 5.6GB
A Havenlon-focused Qwen3.5 9B model for reasoning about execution boundaries, execution control, Adversarial Completeness, evidence chains, governance separation, and AI Agent execution risk.
This model is intended as a general-purpose Havenlon domain model with a balance between reasoning quality and local deployment cost.
ollama run Havenlon/Execution-Boundary-Qwen35-9B-Q4_K_M
Q4_K_M
Modern software, APIs, automation systems, and AI Agents increasingly have the ability to trigger real-world actions.
Havenlon focuses on the boundary between:
software intent
and
real execution
The central question is:
When software can trigger execution, who or what decides whether the action should actually happen?
Havenlon treats execution as a separate security problem.
Authentication can prove identity.
Authorization can grant permission.
Policy can express constraints.
Approval can express consent.
But none of them alone proves that the final real-world action is still the action that was intended and approved.
The execution boundary exists to make that final determination.