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Kimi-k3-in-C: A 2.78T-parameter model. No GPU. 8 GB of RAM

A GitHub project by FareedKhan-dev, kimi-k3-in-c, runs inference on a 2.78-trillion-parameter Kimi K3 model on a single CPU using 8.24 GB of RAM, written in portable C99 with no BLAS, no framework and no GPU. The repository's headline claim is that a model of that scale can execute without GPU acceleration or a machine-learning framework.

read1 min views1 publishedNov 3, 2026
Kimi-k3-in-C: A 2.78T-parameter model. No GPU. 8 GB of RAM
Image: Michielbdejong (auto-discovered)

GitHub - FareedKhan-dev/kimi-k3-in-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. · GitHub You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert

source & further reading
github.com — original article Show HN: A framework for Raspberry Pi pico projects Show HN: Vanilla-web skill to replace all JavaScript frameworks Postman silently auto-installs AI plugins and attempts to share all API data
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