Ridiculous! Running Qwen3.8-27B on 16GB VRAM, with 126K context, 40 tokens per second, and even bf16 quality KV cache precision
Qwen3.8-27B disrecommend, meaningless for average users.
Local Deployment Qwen3.8 27B: The Strictest Pelican Test Is Here
For local deployment of Qwen 3.8 27B, what configuration should be used
V100 running Qwen3.8 27B Qianwen nvfp4 with speed over 50 tokens, about half the speed of Pro 6000d. In the current environment of soaring graphics card prices, it is probably the most cost-effective AI operation graphics card.
DeepSeek Ordinary people shouldn't bother with local deployment, the cost of graphics cards and electricity isn't worth it. No need for local deployment, just install a program and apply for an API. DeepSeek full version 671B large model is free to use. Pinned video
Qwen3.8-27B is officially open source! Intel running Lowest 8GB VRAM required is enough to run it. Can it rival the top closed source models? Localization test recap | Zero Degree Explanation
Scared to tears! Qwen 3.8 27B's ridiculous performance; can you believe this is only a 27B model? | Small Wave Mom's Radar Chart
Highly recommend the amazing project Strata! Running Qwen3.8 Flash Next on a 12G GPU! Speed 93t/s!
Qwen3.8-27B Local Deployment Practical Guide: Qwen's open-source release is absolutely insane!
Running a 27B large model on 16GB VRAM? Qwen3.8-27B local test: 40T/s, this time it's truly legendary!
Local deployment of large models is really useless but really fun
Qwen3.8 27B is a hit! Achieving Token freedom? Mac mini tested 11 local models live, how did they perform...
[Chinese Dub] Qwen3.8 9B Model In-Depth Test: Small yet Powerful, Close to Large Model Performance
Local deployment of Qwen3.8-Flash-Next-Q4_K_M with 12+64, supporting 1M context
3.9G VRAM can run Qwen3.6 27B! Retaining 90% performance! The most aggressive compression model this year
Small model evaluation: A local test of 9 open-source models under 4B, covering Chinese writing, code, and inference.
Qwen 3.8 27B vs DeepSeek V4 Flash: Running the Same Apps Locally
Perhaps the strongest 12GB VRAM + 32GB RAM solution for running a 27B local Agent
99% of locally deployed AI are not as good as Doubao
