Run Kimi K3 with 29 GB RAM at 0.50 tokens per second

A developer shared results of running the Kimi K3 language model locally using just 29 GB of RAM, achieving a speed of 0.50 tokens per second. This demonstrates that large models can technically run on consumer hardware, though inference is extremely slow. The post is useful for hobbyists and researchers exploring low-resource local AI inference.

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