BeeLlama v0.2.0: 164 tok/s on a 27B model, one RTX 3090

Speculative decoding has been the rumored 3-5x throughput multiplier for about 18 months. The numbers have stayed muddled because most of the public benchmarks ride on H100s with batch sizes greater than one, where the speedup gets folded into pricing tables nobody outside a serving team reads. What teams running a single workstation actually measure has been harder to find. The BeeLlama v0.2.0 release pins down a specific point on that map. The setup is small enough to reproduce in a weekend: one RTX 3090, 32 GB of DDR4, a Ryzen 7 5700X3D, and llama.cpp build b9275 as the baseline.