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Qwen 3.8:27B 开源模型,笔记本可跑,性能逼近前沿

This Small AI Will Change Everything

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This is an amazing open-weights AI system free for all of us called Qwen 3.8. This is the smaller brother, and this is the one that will change the world the most. And millions and millions of downloads in less than a week, and it feels like it can do everything. Unless you need frontier stuff, it does all you need. But, look, out of thousands and thousands of free and open AI systems released each year, this might be the most important one.

这是一个令人惊叹的开源权重AI系统,对我们所有人免费开放,名为Qwen 3.8。这是它的较小版本,而这正是将最大程度改变世界的那一个。不到一周就有数百万次下载,感觉它似乎无所不能。除非你需要顶尖前沿的功能,否则它都能满足你的需求。但是,请注意,在每年发布的成千上万个免费开源AI系统中,这可能是最重要的一个。

Why? Because this one is 27 billion parameters. So, if you have a beefy laptop, yep, you can just run it there. Now, it gets better. In some tests, even against a current frontier model, it kind of holds its own and easily better than a billion-dollar system from just a year ago in such a small package. Huh. How the heck is that possible? Now, hold on to your papers, fellow scanners, because the architecture of the previous version looked like this.

为什么?因为它的参数规模达到270亿。所以,如果你有一台性能强劲的笔记本电脑,没错,你就能直接在上面运行它。现在,还有更好的。在某些测试中,即使面对当前的前沿模型,它也能不落下风,而且以如此小巧的体量,轻松胜过一年前耗资数十亿美元的系统。嗯,这怎么可能呢?现在,各位扫描者们,请抓紧你们的文件,因为之前版本的架构看起来是这样的。

So, let's see how 3.8 is different. Wait a second. This looks identical to me. Wow. So, not because of architectural changes. Then, how? How the heck is it possible to put this density of intelligence in such a small package? What is this magic? The answer is training, lots of it, but in a way that is similar to how we humans train our own muscles. Clues from the model card seem to point in the same direction. They first give the AI agent simpler tasks, and then they scale it up.

那么,让我们看看3.8有何不同。等等,这在我看来一模一样。哇。所以,并非因为架构上的改变。那又是如何做到的呢?怎么可能把如此高密度的智能装进这么小的体量里?这魔法是什么?答案是训练,大量的训练,但方式类似于我们人类锻炼肌肉。模型卡上的线索似乎也指向同一方向。他们先给AI代理简单的任务,然后逐步升级。

Then, multiple tasks and more challenging tasks. An intense training regimen that progressively gets harder and longer. Yep. Later tasks take days to complete. I think this is amazing news for all of us. You see, everyone is talking about the memory shortage and everything costing a fortune, and it's all true, 100%. But, it seems that if we wait a bit, we might get frontier-level systems running on our laptops, and all this is only possible because of the power of open science and research.

接着,是多任务和更具挑战性的任务。一套高强度的训练计划,难度和时长逐步增加。没错。后面的任务需要数天才能完成。我认为这对我们所有人来说都是惊人的好消息。你看,每个人都在谈论内存短缺和一切成本高昂,这确实如此,百分之百真实。但似乎,如果我们再等一等,或许就能在笔记本电脑上运行前沿级别的系统,而这一切之所以可能,全靠开放科学和研究的力量。

And look at how much it just changed the game already for AI that you can run at home. A message of hope for all of us. Incredible. Huge thank you for this. Once again, we all get this for free, and it is lovely to see you brilliant fellow scholars tinkering with it and improving it already. I'm doing it, too, with you. Love it. What a time to be alive. I use Lambda to reproduce AI research papers often in minutes. It's also great to train your own models or fine-tune an existing one.

看看它已经如何改变了家用AI的游戏规则。这对我们所有人来说都是一个希望的信息。太不可思议了。非常感谢这一切。再次强调,我们都能免费获得这一切,看到你们这些杰出的学者们已经在摆弄它并加以改进,真是令人欣喜。我也在跟你们一起做。太喜欢了。活在这个时代真好。我用Lambda来复现AI研究论文,通常几分钟就能完成。它也非常适合训练你自己的模型或微调现有模型。

Run inference or text-to-image or video, easy-peasy. Running a deep seek chatbot or agent, super fast, super reliable. Lambda gives you powerful Nvidia GPUs to run your own experiments. I test ideas from the papers I cover, and moments later, results. Love it. Seriously, try it out now at lambda.ai/papers.

运行推理或文生图、文生视频,轻松搞定。运行深度求索聊天机器人或智能体,超快、超可靠。Lambda 为你提供强大的 Nvidia GPU 来运行你自己的实验。我测试所报道论文中的想法,片刻之后就能得到结果。太喜欢了。说真的,现在就试试 lambda.ai/papers 吧。

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