Tried the voxel pagoda prompt fully local, on a laptop that shouldn't run a 35B model. Setup ThinkPad from 2020, Ryzen 7 PRO 5850U, 16 GB RAM, no GPU, Windows Qwen3.6-35B-A3B Q4_K_M, 21 GB, bigger than the RAM BigMoeOnEdge v0.42, built-in agent Result 988 lines of HTML + Three.js, 11.8k tokens at 2.3 tok/s, about 1.5 h You see the code as it's written, then the page opens in the app Video sped up where marked How MoE: each token uses only a few experts Dense weights and a 2 GB expert cache stay in RAM, the rest streams from the SSD On top of llama.cpp, no fork Still slow Half the time is spent waiting on the SSD Every new agent turn re-reads the whole conversation, ~30 min on this laptop Same test with the same model on a Mac with 16 GB of RAM, taking 20 minutes (20 tok/s for decoding, 100–1000+ tok/s for prefill)   submitted by   /u/dai_app [link]   [comments]