Qwen on X: "We promised open weights for Qwen3.8. Now, time to meet them! 🎉
âš¡ 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" / X<br>Post
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Qwen on X: "We promised open weights for Qwen3.8. Now, time to meet them! 🎉
âš¡ 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"
Qwen
@Alibaba_Qwen
We promised open weights for Qwen3.8. Now, time to meet them! 🎉
âš¡ 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 tokens via YaRN.<br>- Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0.
🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently.
Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now!
Download, deploy, and build something we haven't imagined yet. 👀👇<br>- Hugging Face：<br>huggingface.co/collections/Qw…<br>- ModelScope：<br>modelscope.cn/collections/Qw…
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33<br>65<br>272<br>27
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@Alibaba_Qwen
3m
Performance of Qwen3.8-27B:
12<br>52<br>1.2K
span:not(:empty)~span:not(:empty)]:before:content-['·'] [&>span:not(:empty)~span:not(:empty)]:before:px-1 [&>span:not(:empty)~span:not(:empty)]:before:shrink-0 min-w-0 overflow-hidden">Atomic Agent
@atomicagent_io
1m
You can run Qwen3.8-27B in Atomic Agent today!<br>Congrats to the @Alibaba_Qwen team 🙌
30
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