Colibrì proof-of-concept gains frontier-level 1.5-TB AI model — novel approach runs on only 25GB of RAM and shows promise for local AI setups
Colibrì proof-of-concept gets a frontier-level AI model running on only 25 GB of RAM and a modest CPU
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Colibri Runs 744B GLM-5.2 AI Model on 25GB RAM Using Single-File Pure C Engine
A developer named Nokka published Colibri, a single-file inference engine written in roughly 2,400 lines of pure C with zero external depend
Enthusiasts Figured Out How to Run a 744-Billion-Parameter AI Without a Graphics Card — But There’s a Catch
Over on GitHub, someone has posted Colibri – a tool that lets you run GLM-5.2 on a home PC with roughly 25 GB of RAM and no dedicated GPU. W
Colibrì: Running GLM-5.2 on Consumer Hardware
Colibrì is a lightweight engine written in pure C that enables running the GLM-5.2 model (744B parameters) on devices with ~25 GB of RAM. By
Colibri: Run 744B-parameter GLM-5.2 MoE model on consumer hardware with 25GB RAM using pure C
Run GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦 - Just
github.com·8d agoColibri: Run 744B-parameter GLM-5.2 MoE model on consumer hardware with 25GB RAM using pure C
Run GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦 - Just
github.com·8d agoColibri: Run 744B-parameter GLM-5.2 MoE model on consumer hardware with 25GB RAM using pure C
Run GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦 - Just
github.com·8d ago
Colibri: 744 Billion Parameters on a Laptop - How Is That Even Possible
A new tool called Colibri fits a 744B-parameter model - once needing a server rack pricier than an apartment - onto a laptop with 25GB RAM.
Colibri: Run GLM-5.2 (744B MoE) on a 25GB Laptop
Colibri runs GLM-5.2 on a 25GB laptop via pure-C disk streaming. Architecture, benchmarks, DGX Spark support.
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