this is the most impressive GitHub repo I have ever seen with 5,000 stars. this is f**king gold. someone figured out how to run Kimi K3 on any laptop for free. [here is how to set it up in 2 mins] 1. git clone FareedKhan-dev/kimi-k3-in-c 2. make 3. ./bin/k3... --preset laptop --prompt "your prompt" 4. voila, you're done save this and give it to your agent. you will not find a cheaper way to run frontier AI this yearshow more

here is the repo

wtf this is super amazing my man! i just bookmarked it

thanks for this brother I hope you like ti and run Kimi k3 for free

Cheap, sure, but if you're streaming experts off NVMe every token, the drive sets your throughput, not RAM. My guess is the laptop preset lands somewhere south of usable on a SATA SSD and you'd need a fast NVMe before the numbers get interesting. Correct me if you're seeing better.

yes thats not wrong at all. but its honestly the easiest way to get frontier intelligence locally imo

5,000 stars feels earned if setup really takes 2 minutes

And this is the best way I've seen to run Kimi k3 locally.

Great

We need 8 gigabytes of RAM to run this, by the way. Insane, right?

Crazy share bro, just what I needed.

Hey Ruj, Yeah, I have explained more about how he did it in the replies, and the repo is also in the replies. I hope you find this useful. It can run pretty much on any laptop. 8GB of RAM is what most laptops have nowadays, so pretty much any laptop in the world can run this really powerful model because of this guy. So thanks to him!

thanks for sharing this homie

your welcome brother. the repo and setup in replies

Thanks for sharing, will def read this

thanks brother I hope you like it

saved this repo for myself thanks Avid

your welcome

this is gold thanks avid

I hope you find this useful

bro avid I needed this, now will finally run Kimi K3

thanks Roan the setup is very easy with my ssd

this is real alpha

I hope you find it useful

👍

if anyone is interested how this works I broke it down here cpu inference explained (builder edition) inference is the moment a model turns your prompt > weight streaming: the 1.56 TB checkpoint never loads into memory. the engine reads exactly what it needs off NVMe, one token at a time. more RAM just means fewer disk reads, same output either way > mxfp4 quantization: each weight drops from 16 bits to 4. the model shrinks 4x before it ever touches the CPU. precision loss is measured, output is byte-identical across every machine from a laptop to a workstation > mixture of experts: 2.78 trillion parameters, only a fraction fire per token. the router wakes the right experts, the rest stay on disk. you pay for what you use > SIMD in C99: no BLAS, no PyTorch, no framework. hand-rolled AVX2 kernels, 176 KB total. compiles on any Linux box

real alpha!

this is it

thanks for the repo

already running kimi k3 locally, this repo is insane thanks avid!!!

the NVMe throughput bottleneck point in the replies is the real catch nobody's celebrating. 8GB RAM is impressive but you're gonna feel that storage speed hard on longer outputs

yes but its usable and affordable for most people

I had this in my draft, great share bro

@_0xpainn thanks painn I hope you like this

That's seriously cool! Running Kimi K3 on any laptop for free is a huge win for everyone. Thanks for sharing!

Two minute setup, saving this

Thanks for sharing. What’s the average tick/s if we run like this?

cloning this repo now before I forget

Over 3 minutes to just reply "Paris"?

Makes sense

nice my G

Ran into this repo earlier. The Makefile pulls precompiled binaries instead of building from source, which breaks reproducibility and makes auditing harder.

You can also use token router - they are giving free kimik3 credits for now

Insanely clean engineering. Pure C99, no frameworks, weight streaming + mxfp4 so a 2.78T MoE actually runs on a normal laptop with ~8 GB RAM. The fact that the output stays byte-identical across machines is the real flex. This is the kind of from-scratch systems work that makes local agent experiments suddenly practical. Starred.

running a real frontier model on any laptop doesnt add up either its heavily quantized and not really k3, or your laptop isnt "any laptop"😐

8gb ram

wait does 8gb actually hold real k3? thats hundreds of gb, so this has to be a quantized cut, not the frontier model itself

looks like someone made the kimis portable, that's a whole new ball game

Yes, it's absolutely an innovation in how influence is done on this can read more about how they did it in the comments, where I explained how CPU inference works. It adds a bit more detail for people who are interested.