Qwen3.5 모델 양자화, 왜 커뮤니티 버전은 성능이 떨어지나

Community-quantized Qwen3.5 models suffer from technical degradation because uniform quantization ignores varying sensitivity across different layers, making them unreliable for production use. Unsloth's mixed-bit quantization approach demonstrates that layer-aware compression strategies significantly improve tool calling, code generation, and structured output quality. This research establishes that effective model compression requires deep understanding of internal architecture rather than generic techniques, reshaping industry standards for deploying lightweight AI models.