RYS Qwen 3.5 27B FP8-XL tops reasoning benchmark

The success of the RYS model highlights how targeted architectural modifications, like layer duplication, can drastically improve reasoning capabilities in smaller models. The modification trades inference speed for deep reasoning quality, proving highly effective for complex tasks. Smaller quantized models surprisingly outperformed larger models like Gemma 4 31B in specific nuanced reasoning tests. The results emphasize that for highly specialized tasks, community-driven layer splicing can rival or exceed the performance of massive-parameter models.