WASTE engine enables running Kimi K3 model on 29 GB of RAM
The Weight-Aware Streaming Tensor Engine (WASTE) allows the 2.8 trillion parameter Kimi K3 model to run locally at 0.50 tokens per second. The implementation utilizes layer-by-layer loading to bypass traditional VRAM requirements.
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