A user on Reddit's r/LocalLLaMA shared a benchmark comparing two versions of the Qwen 3.6 model on a MacBook Pro with an M5 Pro chip and 64GB of RAM. The 35B A3B model, using a 4-bit quantization, significantly outperformed the 27B UD model, which used 6-bit quantization, in both speed and coding task quality. Despite the 35B model being smaller and using less RAM, it was approximately 8 times faster and achieved a higher overall score in a 4-task coding benchmark. AI
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IMPACT Provides real-world performance data for running local LLMs on Apple Silicon, aiding hardware and model selection for users.
RANK_REASON User-generated benchmark comparing two model versions on specific hardware.