- Sources: colibri repository, HN discussion
- Summary: A Show HN project (colibri) runs the large GLM 5.2 model on a memory-constrained machine by streaming weights from an SSD or NVMe drive rather than holding them in RAM. The thread reached 494 points.
- Comments: Commenters compare it to earlier weight-streaming work, ask about SSD write endurance, and discuss running it on GPUs with onboard NVMe slots.
- Why it matters: It shows continued practitioner interest in running frontier-scale open models on commodity hardware by trading throughput for lower memory.
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