JustVugg/colibri
Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
About the project
A pure-C, zero-dependency inference engine for running large MoE models (744B–2.8T parameters) on consumer hardware by treating VRAM, RAM, and storage as a single multitier hierarchy and streaming experts from disk.
Useful for
- Run a chat with the 744B GLM-5.2 model locally via coli chat
- Launch the coli web dashboard to watch expert routing and token metrics
- Experiment with placing experts across VRAM, RAM, and NVMe to speed up decoding
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 1,036 stars today. The usual pace is 100 per day, so that's 10× as much.
- Over the last two days the pace is 9.7× that of the previous week and a half.
- The spike has held for 2 days in a row — not a one-off blip.
- GitHub Trending today: #1, +960 stars.
- Top new repositories in the last 4 months: #5.
- About 135 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 29,747
- Stars in a day
- 1,048
- Forks
- 3,241
- Issues and pull requests
- 1,429
- Watchers
- 260
- Language
- C
- License
- Apache-2.0
- Latest release
- v1.11.0 · September 13, 2026
- Created
- July 1, 2026
- Last push
- September 13, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 13, 2026GitHub Trending today: #1, +960 stars; Top new repositories in the last 4 months: #5
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