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Repository: FareedKhan-dev/kimi-k3-in-c on GitHub (linked from X/@hasantoxr)

2026-08-03 · 10:41 UTC ·@hasantoxr ·0 min read

Brief

kimi-k3-in-c is a GitHub project by FareedKhan-dev that claims to run a 2.78-trillion-parameter Kimi K3 model for inference on a single CPU using only 8.24 GB of RAM. The implementation is portable C99 and explicitly avoids BLAS libraries, ML frameworks, and GPU dependencies.

Why it matters

Repository: FareedKhan-dev/kimi-k3-in-c on GitHub (linked from X/@hasantoxr)

Key details

  • Model claim: a 2.78-trillion-parameter Kimi K3 running inference on a single CPU using 8.24 GB of RAM
  • Implementation: portable C99 code with no BLAS, no ML framework, and no GPU required
Source evidence

Link: github.com/FareedKhan-dev/ki…

Link

GitHub - FareedKhan-dev/kimi-k3-in-c: A 2.78-trillion-parameter Kimi K3 running inference on a...

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. - FareedKhan-dev/kimi-k3-in-c
github.com