Qwen 3.6 27B on 24GB VRAM setup: backend comparisons, quant choice and settings (llama.cpp, ik_llama.cpp, BeeLlama, vllm)

In three linesDetailed benchmark of Qwen 3.6 27B on RTX 3090 24GB. ik_llama.cpp outperforms llama.cpp and BeeLlama with 1261 tok/s prefill and 72.9 tok/s decode on 156k context. Optimal setup: IQ4_KS quantization, multi-token prediction, flash attention.

Summary generated by Claude — human-verified