Show HN: Getting GLM 5.2 running on my slow computer
A developer demonstrates how to run the large GLM-5.2 language model on consumer hardware using a custom C-based engine. The approach uses expert streaming and speculative decoding to bypass the need for high-end GPUs.
Why it matters
Shows advancements in efficient AI deployment, making massive models accessible to users with limited hardware.
Tiny engine, immense model. Run GLM-5.2 (744B-parameter MoE) on a consumer machine with ~25 GB of RAM — in pure C, with zero dependencies, by streaming experts from disk.
Technical documentation and project showcase without political bias.
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