After burning Astra's weekly quota in three days, running GLM/Kimi/DeepSeek locally
The author says the GPT-6 Astra weekly quota ran out in three days, so they use Colibri, a 32,960-star repo, to run GLM-5.3, Kimi K3 and DeepSeek V4 locally without a GPU.
I BURNED THROUGH MY ENTIRE GPT-6 ASTRA WEEKLY QUOTA IN 3 DAYS. SO I’M REPLACING MY $200/MO CODEX SUBSCRIPTION WITH THIS. a free open-source repo with 32,960+ GitHub stars that lets you run models like: → GLM-5.3 Flash → Kimi K3 → DeepSeek V4 Flash locally. here’s the setup: 1. install Colibri download the release for Linux, macOS, or Windows. no compiler needed. 2. or build it yourself git clone http://github.com/JustVugg/colibri cd colibri/c ./setup.sh cd .. 3. choose your model GLM-5.3 Flash → ~195 GB DeepSeek V4 Flash → ~167 GB Kimi K3 → ~1.6 TB the wild part? you don’t need a GPU. 4. get the model weights GLM has its own converter, while DeepSeek and Kimi can load from their original Hugging Face snapshots. 5. run it ./coli chat ./coli web ./coli serve then use: ./coli doctor ./coli plan ./coli tune to check your setup and optimize performance. the tradeoff is pretty simple: no token bill. no hosted quota. no dependency on an API. but you better have the storage. the frontier just moved from your subscription to your SSD.
This post quotes another post: x.com/mikenevermiss/status/2098270564016091458