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MiST (Mid-trained Security Transformer), a suite of 8B and 32B models that achieve strong performance on public cybersecurity benchmarks are presented and it is shown that MiST provides a stronger initialization for downstream task-specific fine-tuning adaptation and reinforcement learning.
