10,103 stars | 1,614 forks | C
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
What it does
This GitHub repository provides a portable C99 implementation of the Kimi K3 language model (2.78 trillion parameters) designed to run inference on a single CPU with limited RAM (8.24 GB). Its key innovation is enabling this massive model to operate on standard hardware without relying on GPUs or external frameworks, prioritizing accessibility and portability. The project demonstrates how memory capacity directly impacts inference speed, offering consistent output quality across various machine
Why it matters: 🤯 Run a 2.78T parameter AI model on your laptop! This C implementation of Kimi K3 proves massive AI doesn't need a supercomputer. #AI #MachineLearning
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