llama.cpp b8233 speeds Qwen on Strix Halo

This is exactly the kind of low-glamour runtime work that makes local AI feel dramatically better in practice. llama.cpp is still winning by turning upstream kernel changes into real-world speedups for the Qwen stack, not just prettier release notes.

• –The b8233 release adds GATED_DELTA_NET work and Qwen-related support, which lines up with why recent Qwen-family models are seeing better behavior in new builds.
• –The Reddit post compares the same Bartowski Q8-style setup across builds and reports a clear improvement on Linux plus ROCm for Strix Halo.
• –Broader LocalLLaMA discussion around the same release shows backend-dependent gains, with many users reporting faster token generation and some seeing better prompt processing too.
• –The bigger story is platform viability: if AMD Strix Halo keeps benefiting from upstream llama.cpp work, local coding and agent workflows become much more realistic off Nvidia.