
Six months ago this class of capability was a $200/month subscription. Now it sleeps on my desk. Ultrageek ▸ I gave my local 27B a cockpit. Fully offline. ● Qwen3.8-27B on a Mac Studio M1 Max 32GB, 81920-token context via Q8 KV cache ● prompt read 95 tok/s, generation 13 tok/s with a 0.8B speculative draft ● effort dial that reshapes every request: eco / normal / max, benchmarked ● a watchdog that detects repetition loops and types a stop order into the live session ● whisper.cpp large-v3-turbo dictation: 8s of speech transcribed in 1s, system-wide ● five auto-rigged 3D pets living in the UI, their animations are the telemetry Every token sleeps at home. Built on DeepSeek Harness, Qwen inside. Respect to both teams. https://t.co/KjLD4FA6ph @Alibaba_Qwen @deepseek_ai #LocalLLM



