Cerebras on X: "Congratulations to @Alibaba_Qwen team on the Qwen 3.8 27B launch!
We can't wait for our users to try it out! Contact us for dedicated deployments and it's going to be up soon in the Cerebras Shared Tier. 🟧⚡️" / X<br>Post
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Cerebras on X: "Congratulations to @Alibaba_Qwen team on the Qwen 3.8 27B launch!
We can't wait for our users to try it out! Contact us for dedicated deployments and it's going to be up soon in the Cerebras Shared Tier. 🟧⚡️"
Cerebras
@cerebras
Congratulations to @Alibaba_Qwen team on the Qwen 3.8 27B launch!
We can't wait for our users to try it out! Contact us for dedicated deployments and it's going to be up soon in the Cerebras Shared Tier. 🟧⚡️
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">Qwen
@Alibaba_Qwen
17h
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
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">12:16 AM · Aug 15, 202645.6KViews
11<br>15<br>330<br>41
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@Alibaba_Qwen
2h
We can't wait either! Open weights meet Cerebras speed. 🚀
33<br>1.7K
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">Nathan Spencer
@NateSpencerWx
6h
What’s the Shared Tier?
1.3K
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">cels<br>@cels19x
3h
what! If it’s 1500 t/s I need it now and I am in love
989
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