SGLang on X: "The king of small models is back! Qwen3.8-27B from @Alibaba_Qwen is open source, and Day-0 support is live in SGLang:<br>- 206.1 tok/s decode on a single RTX 5090, with our NVFP4 plus DSpark<br>- 38.28 tok/s decode on DGX Spark<br>Qwen3.8-27B raises the bar again for what a small model" / X<br>Post
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SGLang on X: "The king of small models is back! Qwen3.8-27B from @Alibaba_Qwen is open source, and Day-0 support is live in SGLang:<br>- 206.1 tok/s decode on a single RTX 5090, with our NVFP4 plus DSpark<br>- 38.28 tok/s decode on DGX Spark<br>Qwen3.8-27B raises the bar again for what a small model"
SGLang
@sgl_project
The king of small models is back! Qwen3.8-27B from @Alibaba_Qwen is open source, and Day-0 support is live in SGLang:<br>- 206.1 tok/s decode on a single RTX 5090, with our NVFP4 plus DSpark<br>- 38.28 tok/s decode on DGX Spark<br>Qwen3.8-27B raises the bar again for what a small model can do on agentic planning and long-horizon tasks.
Long live the (small model) king! Run it locally with SGLang 👇
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@Alibaba_Qwen
2h
We promised open weights for Qwen3.8. Now, time to meet them! 🎉
⚡ Qwen3.8-27B:<br>- A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows.<br>- 262K native context, easily extendable to 1M Show more
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11<br>38<br>285<br>118
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@sgl_project
2h
Cookbook:
Qwen3.8-27B - SGLang Documentation
From docs.sglang.io
24<br>2.6K
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2h
Haha yeah yeay! But its not “back” its the first model I know of to maintain number 1 slot until they replaced it themselves with a newer version 😃
1.4K
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