NVIDIA's Nemotron 3.5 Bolt 24GB, repackaged so it runs entirely on the GPU on Apple Silicon. On an M5 Pro, prefill goes from 180 → 675 tok/s and decode from 12.8 → 24.6 tok/s, at the full 262K context. Weights, behavior and chat template are the same as upstream. One storage format changed. The upstream GGUF stores the input and output projections of all 40 Mamba layers (ssmin, ssmout, 80 tensors, 2.5 GB) in NVFP4. llama.cpp's Metal backend has no NVFP4 matrix-multiply kernel. Those 80 tensors silently stay on the CPU. Every token makes 80 round trips between CPU and GPU. The server sits at ~557% CPU while the GPU waits. This build converts only those 80 tensors from NVFP4 to Q80, which…