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[r/LocalLLaMA] Qwen3.6-27B at ~80 tps with 218k context window on 1x RTX 5090 served by vllm 0.19

Impact: 8/10
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Summary

The Qwen3.6-27B model demonstrates impressive performance, achieving approximately 80 tokens per second with a massive 218k context window on a single RTX 5090 GPU. This is made possible by using NVFP4 quantization and the latest vLLM 0.19.1rc1 build. This advancement significantly boosts the efficiency and capability of running large language models locally on high-end consumer hardware.

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