Explore Tencent's Hunyuan-Large, a 389B parameter MoE model with 52B active parameters. Discover its top benchmarks, technical innovations, and real-world applications
Practically none of the open source AI models are open source. At least not in the sense that term is used for software. Some people try to apply the word to AI models or just use it as a buzzword. It doesn’t mean you get the source to recreate it (the dataset in this case). And they also restrict use in different ways. Open Source in the AI world just means you’re able to download the weights and do inference on your own hardware. And you can do it with this model. Yet the license contains quite some limitations. I think we should stop using the term open source for AI before it loses all it’s meaning.
That doesn’t mean they’re all licensed the same. Some are licensed under a proper free software license and while you usually still don’t get the dataset, you get all the freedoms to use/run, share and modify the models to your liking.
Practically none of the open source AI models are open source. At least not in the sense that term is used for software. Some people try to apply the word to AI models or just use it as a buzzword. It doesn’t mean you get the source to recreate it (the dataset in this case). And they also restrict use in different ways. Open Source in the AI world just means you’re able to download the weights and do inference on your own hardware. And you can do it with this model. Yet the license contains quite some limitations. I think we should stop using the term open source for AI before it loses all it’s meaning.
That doesn’t mean they’re all licensed the same. Some are licensed under a proper free software license and while you usually still don’t get the dataset, you get all the freedoms to use/run, share and modify the models to your liking.