A user successfully ran the "voxel pagoda" prompt locally on a 2020 ThinkPad with 16GB of RAM and no dedicated GPU. The setup utilized the Qwen3.6-35B-A3B model, which is larger than the available RAM, by streaming dense weights and an expert cache from the SSD. This method, built on llama.cpp, achieved a speed of 2.3 tokens/second, though agent turns were slow due to re-reading the entire conversation. A comparison to a Mac with similar RAM showed significantly faster performance. AI
IMPACT Demonstrates feasibility of running large models on consumer-grade hardware with optimized data streaming.
RANK_REASON User successfully demonstrates running a large model on limited hardware using a novel streaming technique.
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