Adaptability of flash-moe (running big models on small laptops) to other Qwen models.

This issue directly questions the generalizability of flash-moe's core value proposition – running large models on constrained hardware – to other Qwen models. This indicates a developer pain point around model compatibility and the desire for a flexible solution that extends beyond a single model variant. The market implication is clear: developers require solutions that are not only efficient but also broadly applicable across a family of models. A tool's value increases significantly if its optimization techniques are transferable, reducing the effort required to deploy different models in resource-limited environments. This highlights a demand for modular and adaptable model optimization frameworks.