llama.cpp boosts Qwen token throughput

This is the kind of open-source update that matters more than flashy launches: the same models, same hardware, just faster decoding in a widely used local inference stack.

• –The merged change targets a real bottleneck that had been called out in earlier llama.cpp performance discussions around Qwen Next CPU inference
• –PR benchmarks and follow-up tester comments show better token-generation throughput, especially for Qwen delta-net style workloads
• –The update lands in llama.cpp itself, which matters because optimizations in the main repo propagate across a huge local-LLM ecosystem
• –It is not a brand-new release or model drop, but it materially improves the practical usability of strong open-weight Qwen models on consumer hardware