Two weeks after Moonshot released Kimi K3's weights, the conversation moved entirely to whether you can actually run the 2.8T-parameter model — and increasingly, you can. Unsloth's 1-bit dynamic quant keeps ~78.9% accuracy while shrinking it from 1.56TB to 594GB (2-bit reaches ~90%), enough for a Mac Studio or DGX Station.
one tester ran the full 1.6TB build on a 128GB laptop, vLLM clocked 464 tok/s single-stream, and the capability flex of the day was Cline letting K3 recursively improve its own agent harness from 77.5% to 88.8% in 17 hours. The business news matched the momentum: Moonshot raised $3.5B at a $35B valuation.