Surprising Performance of SMALL Qwen3-A3B MoE
AI Summary
In this video, the presenter explores the capabilities of a new Q3 model, specifically a smaller 3 billion parameter Mixture of Expert system, by conducting a logic reasoning test. The test aims to evaluate the model’s ability to perform simultaneous multi-threading, memory tracking, deductive reasoning, and incremental complexity in solving logical puzzles. The presenter begins by detailing the benchmarks for the test and comparing the capabilities of the 3B model against larger models.
Throughout the demonstration, the model attempts various approaches to solve complex puzzles, often encountering contradictions and loops in logic that require self-correction. The presenter emphasizes the transparency and reasoning process of the model as it works through the 15 clues provided in the test, showcasing both successes and the challenges faced by the 3 billion parameter model.
Ultimately, the model is able to propose solutions, albeit with some flaws in its reasoning for certain logic assignments. The video underscores the model’s impressive advances in logic problem-solving while also noting its limitations in handling highly complex tasks compared to its larger counterparts. The presenter finds the results fascinating and concludes that this new model represents a significant leap in AI capabilities, even if it struggles at times with more complicated logical tasks.