Running the 2.78‑trillion‑parameter Kimi K3 model on a single CPU with 8 GB RAM

Description and use

The Kimi K3 model with 2.78 trillion parameters runs on a single CPU with 8 GB RAM without GPUs or frameworks.

Problem

Deploying a massive 2.78‑trillion‑parameter language model on resource‑constrained hardware (single CPU, 8 GB RAM) without a deep‑learning framework or GPU.

Outcome

The Kimi K3 model runs successfully on a single CPU with 8 GB RAM, eliminating the need for GPUs or deep‑learning frameworks.

Workflow

• 1. Clone the repository https://github.com/FareedKhan-dev/kimi-k3-in-c
• 2. Compile the C implementation using a standard C compiler (e.g., gcc)
• 3. Load the pre‑trained Kimi K3 weights into the compiled binary
• 4. Run inference on the CPU, observing that memory usage stays within 8 GB

Evidence

Runs the 2.78-trillion-parameter Kimi K3 model on a single CPU using 8 GB of RAM without a framework or GPU.

Source