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Catellect-VL-2B: A Vision-Language Model for Edge-Based Feline Behavior Understanding
The task of Feline Behavior Understanding requires models that can identify subtle visual cues, keep behavior interpretations auditable, and support low-latency, privacy-sensitive deployment. Directly prompting general Vision-Language Models (VLMs) is poorly suited to this setting: instead of first
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