Qwen3.8 27B RVN

User reports Qwen3.8-27B RVN Q6_K at 100 tok/s at 1K context on a single RTX 5090 32 GB, up from 69 tok/s in LM Studio with the same GGUF and q4_0 KV cache. Setup is a native llama.cpp master build (CUDA 13.1, sm_120) with MTP speculation at 3 drafts, q4_0 K and V cache, 196608 configured context, and about 29.5 GB VRAM at 192K with vision. At ~60K context decode is 79-83 tok/s and at ~120K it is 61-66 tok/s; prefill is ~1500-2500 tok/s on both engines. With Chrome visible at 120K decode drops to 51 tok/s, 59 minimized and 64 closed. A 450 W power limit leaves decode within noise (78.6 vs 82.7 tok/s) but cuts prefill 11%. In a Codex CLI agentic run at 155-160K context the model wrote at a median 81 tok/s with peaks of 149.