How GLM-5.2 Runs Locally Explained
rohanpaul_ai · x · 2026-07-10
This cross-post reiterates that MoE models like GLM-5.2 can run on consumer machines with 25GB of RAM, albeit very slowly.
The post explains how MoE sparse activation, storing expert weights on NVMe, LRU caching, and compressed KV cache work together to reduce memory usage, and why the performance bottleneck shifts to SSD bandwidth and cache hit rates.
Related event: 744B GLM-5.2 MoE Model Runs Locally on 25GB RAM(5 posts)→
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