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.
Run a large AI model on a regular computer without needing special hardware or software.
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Free · no card · unsubscribe anytimeA 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.
kimi-k3-in-c has 5.4k stars on GitHub. It has been forked 886 times. kimi-k3-in-c is written mainly in C. It has been in active development since 2026. kimi-k3-in-c is available under the Apache-2.0 license. Its main topics are avx2, c99, cpu-inference, deep-learning.
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.
kimi-k3-in-c is an open-source project. It is released under the Apache-2.0 license.
Yes. kimi-k3-in-c is free and open source — you can use, modify and self-host it.
kimi-k3-in-c is available under the Apache-2.0 license.
kimi-k3-in-c is written mainly in C.
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