A user shared their experience running the Qwen3.6 35B-A3B model locally on a laptop, finding it capable enough for personal tasks and brainstorming. This marks a significant shift for them, providing a "second brain" that avoids sending private information to cloud-based models. While acknowledging minor issues like occasional loops or "laziness," they highlight impressive generation speeds at both 32k and 256k context lengths using llama.cpp. AI
IMPACT Demonstrates that powerful LLMs are becoming accessible for personal, private use on consumer hardware.
RANK_REASON User experience post about running a specific LLM locally.
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