Qwen3.8 27B Swift-1.5

User reports WHIRL 0.2.0 running Swift-1.5 27B MXFP4 on the Radeon 8060S (Ryzen AI Max+ 395, ASUS ROG Flow Z13 at 80 W) at 34.2 t/s decode on a coding chat and 470.8 t/s prefill on an 8k-token prompt. Setup is the WHIRL engine in its default balance mode with MXFP4 GGUF weights, one user, greedy decoding, MTP speculation on, compared against llama.cpp b11214 ROCm and Vulkan builds. WHIRL leads llama.cpp from 2k to ~250k tokens; the smallest lead is dense decode on the 8060S, where 34.2 t/s beats 28.3 (Vulkan) and 27.6 (ROCm). A cold coding-agent session took 95.7 s versus 145.6 s on ROCm and 264.4 s on Vulkan. The same post also benchmarks Ornith-1.5-35B-A3B MXFP4 and a Radeon AI PRO R9700, and notes llama.cpp decodes Ornith without speculation while WHIRL uses MTP, so those rows are not like for like.