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Comprehensive benchmarks of llama.cpp's speculative decoding methods on Qwen 3.6 27B show n-gram stacking on DFlash achieves up to 6x speedup on iterative coding tasks, with ngram-mod providing most of the gain and zero VRAM cost.
User reports a CUDA error when using tensor split mode with the latest llama.cpp and Qwen-3.6-27b model on dual RTX 3090s with Ubuntu Server 24.04 and Docker.
Reddit user reports Qwen 3.6-27B shows unusually proactive agent behavior, autonomously building, testing and fixing code without prompting.