Kimi K3 is a 2.8T-parameter model; community mulls aggressive quantization

A r/LocalLLaMA post sizes Kimi K3 at 2.8T parameters, saying the footprint "will make it more difficult to run decently" on consumer hardware. The poster suggests aggressive iQ2_XXS or IQ1.8 quantization to fit locally and hopes the Unsloth team optimizes the model.