Wazn-2B

Wazn-2B is an open-source AI model designed for zero-shot classification tasks. It uses a frozen Qwen3.5-2B backbone with LoRA adapters to encode candidate labels and compares them relationally to return a probability distribution over label options without generating text. The model is available as a Python package for local deployment and experimentation, intended for testing rather than production use.