A user on Reddit's r/LocalLLaMA community shared their experience optimizing performance for the Qwen 3.6 27B model on a dual 3090 GPU setup. Initially, using `--split-mode tensor` resulted in prompt processing occurring on the CPU, leading to a low tokens-per-second rate of around 400. After extensive testing, the user discovered that switching to `--split-mode layer` significantly improved performance, boosting tokens-per-second to over 1600, although it slightly reduced the model's overall throughput. AI
IMPACT Demonstrates how configuration changes can drastically improve inference speed for local LLM deployments.
RANK_REASON User-level optimization of existing hardware and software for a specific model.
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