I have DeepSeek V4 Pro at home

Reddit user fairydreaming ran DeepSeek V4 Pro Q4_K_M with a modified llama.cpp CUDA repo on one RTX PRO 6000 Blackwell Max-Q workstation GPU, using an 859GB model file; the shared log reports a 1M context window and 8.6 tokens per second generation speed.

Why it matters: HKR-H/K/R all pass: the hook is single-GPU local inference, with concrete file size, context, speed, and runtime path. Reddit single-source sourcing keeps it below must-write model-release territory.