I Tried Alibaba's Qwen 32B — Here's What I Think

Recently I discovered that Alibaba's Qwen team has launched a new large language model, which they called Qwen 32B. As they are claiming that this model will outperform many of their competitors, they also shared some test results where Qwen did better than all the other models.

I gave it a try, and here's what I found,

So what is actually Qwen 32B?

As far as my research goes, Qwen 32B is a big open-source language model that you can use in your projects. As it's designed to handle many tasks like reasoning, coding and something like system design. Since it's open-source and it is available on Hugging Face, you'll be able to test it by yourself without much setup.

If you want to try It:

First you have to search for Qwen 32B on Hugging Face, and then you will see the model page. On that page, there's an interface where you can interact with the model directly.

As a developer, I wanted to see how good it was at solving code and design related problems. So I asked them to help me design a social media website where users can post, comment, like and share —and also handle many users' requests.

I asked for both system architecture and some starter code

Things You'll Need

• AWS account
• Python 3.9 installed
• Basic understanding of Lambda and HTML
• Zip file (provided in GitHub repo)

What did I get back?

First, the model explained its thought process — how it planned to approach the problem. Then it gave me:

• a detailed architecture with components and their roles
• a list of technologies to use,
• deployment suggestions
• and some starter code to get me going.

As per my thoughts the explanations were clear and easy to follow. Even someone without much experience in the coding or tech field could understand the suggested setup very easily.

I tried a few more tasks after that, and in most cases, it gave me decent answers and good starting points to work with.

What I liked most about this model:

One thing I really like to appreciate is that it's open-source and very easy to use. On the Hugging Face page, there's even a sample Python code snippet you can copy and run. I did that, and it downloaded and worked without any trouble.

“Next, I'll try to test it more with real-world problems and share whatever I will find.”.

Conclusion

Qwen 32B is a strong and accessible language model. It's open-source, easy to set up, and gives useful answers to practical questions like coding and system design. If you're curious about trying a free alternative to other big models, I recommend giving Qwen 32B a try.