Qwen3.8-27B 16GB显存实测

社区发布了 Qwen3.6 / Qwen3.8-27B 在 16GB 显存上的完整优化与基准测试，涵盖量化、KV cache、speculative decoding 和上下文扩展。结果给出约 30-50 tps 的实测表现，并附带可复用的部署与调参建议。

事件进展（7 篇报道）

1. 2026-08-18 10:28
   Reddit r/LocalLLaMA Optimizing Qwen3.6 / Qwen3.8-27B on 16GB VRAM: Complete Benchmark Results and Setup Guide (~30-50tps at 32k to 72k context)
2. 2026-08-18 16:47
   Reddit r/LocalLLaMA Qwen 3.8 27b saved me $650+ in API costs this evening
3. 2026-08-18 16:08
   Reddit r/LocalLLaMA Qwen 3.8 27B is faster than expected
4. 2026-08-18 15:38
   Reddit r/LocalLLaMA Qwen 3.8 27b vs Deepseek Flash
5. 2026-08-19 00:23
   Reddit r/LocalLLaMA Qwen3.8-27B: slower tokens, faster and better results
6. 2026-08-19 01:35
   Reddit r/LocalLLaMA I pushed Qwen3.8-27B to 124 tps on a single request on a RTX 3090
7. 2026-08-19 03:57
   Reddit r/LocalLLaMA Qwen 3.8 27B is the DeepSeek moment for local models. It matches frontier intelligence from just a few months ago and outperforms Google’s current frontier model. No big data center is needed as almost every serious local model expert can run it on their own hardware.

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