@UnTalNixon_exe: Forget about GPUs and million-dollar clusters. They just made the world's largest open model (Kimi K3 – 2.78 trillion p…

X AI KOLs Timeline Tools

Summary

A new tool called kimi-k3-in-c runs the 2.78T-parameter Kimi K3 open model on a single CPU with as little as 8.24 GB RAM, streaming experts from disk and achieving deterministic output at 10-32 seconds per token.

Forget about GPUs and million-dollar clusters. They just made the world's largest open model (Kimi K3 – 2.78 trillion parameters) run on a single CPU with just 8.24 GB of RAM. It's called kimi-k3-in-c. → Full engine: 176 KB of pure C99 → Zero frameworks, zero BLAS, zero CUDA, zero GPU → The 1.56 TB checkpoint lives on disk → Only 16 of 896 experts activate per token → the rest streams on-demand → Memory is a dial: 8 GB, 32 GB, 128 GB or 224 GB → same bit-identical output In 8 GB it takes ~32 s/token. With more RAM it drops to ~10 s/token. It's not fast for chat… but it runs. And it does so deterministically and verified. This is the closest we've come to having an AI supercomputer on your laptop. Repo Has anyone run it yet? What preset did you use?
Original Article
View Cached Full Text

Cached at: 08/05/26, 06:27 PM

Forget about GPUs and million-dollar clusters.

They just made the world’s largest open model (Kimi K3 – 2.78 trillion parameters) run on a single CPU with just 8.24 GB of RAM.

It’s called kimi-k3-in-c.

→ Full engine: 176 KB of pure C99

→ Zero frameworks, zero BLAS, zero CUDA, zero GPU

→ The 1.56 TB checkpoint lives on disk

→ Only 16 of 896 experts activate per token

→ the rest streams on-demand

→ Memory is a dial: 8 GB, 32 GB, 128 GB or 224 GB

→ same bit-identical output In 8 GB it takes ~32 s/token. With more RAM it drops to ~10 s/token.

It’s not fast for chat… but it runs. And it does so deterministically and verified. This is the closest we’ve come to having an AI supercomputer on your laptop.

Repo

Has anyone run it yet? What preset did you use?

Similar Articles

Run Kimi K3 using 29 GB of RAM at 0.50 tok/s

Hacker News Top

WASTE is a new open-source C inference engine that streams expert weights from disk to run the 2.78-trillion-parameter Kimi K3 model on a consumer laptop with just 29 GB of RAM, achieving 0.49–0.54 tokens/s.

Kimi K3 in and on C (c99 and cpu)

Reddit r/ArtificialInteligence

A project claims to run Kimi K3, a 2.78T parameter MoE model, on CPU with 8GB RAM by streaming expert weights from NVMe SSD and using MXFP4 compression, trading speed for memory efficiency.