Kimi K3's 2.81T Parameters Put It Far Beyond Any Mac's Memory Capacity

Kimi K3 is a mixture-of-experts model with 2.81 trillion parameters, requiring roughly 1.4 TB of memory even at 4-bit quantization — far exceeding the 512 GB maximum available on Apple's most powerful Mac Studio. Despite MoE architecture activating only a small fraction of experts per token, all experts must remain in memory since the router can call any of them at any moment, meaning sparse activation reduces compute but not memory footprint. Ollama's only available Kimi K3 tag is labeled ':cloud', which silently routes requests to Moonshot's remote servers rather than running inference locally on the user's machine. In practical testing on a 128 GB MacBook M4 Max, the Qwen2.5-Coder 14B model delivered 13.3 tokens per second versus 5.6 tok/s for the 32B variant, making the smaller model significantly more usable for agentic workflows. The 14B model also fits within 16 GB of unified memory, meaning the base $599 Mac mini can run a capable local coding model despite being unable to handle frontier-scale models like Kimi K3.