Skip to content
Tech News
← Back to articles

Show HN: Lumabri – What if LLMs worked like Napster?

read original more articles

Run huge mixture-of-experts models from a swarm of peers, with the colibri engine. Pure C, no dependencies.

One machine shares a model. Any other machine chats with it: nothing is downloaded up front, the bytes an inference actually touches arrive from the peer on first use and stay in a local mirror. The second question is served from local disk at full speed. The engine binary is unmodified.

The founding principle: any machine may join, GPU or not. The engine was built for CPU and SSD first; a GPU only makes it faster, never different, and the output is byte-identical either way. A swarm with no GPU at all is a working swarm. Networks that pool GPUs recruit from the few; lumabri recruits from everyone.

Quick start

Build:

make

On the machine that has a model (any colibri model directory):

./lumabri serve --model /path/to/model

On the machine that wants to chat (needs a colibri build for the engine):

./lumabri chat --tracker < server-ip > :7300 --engines-dir /path/to/colibri/c

... continue reading