from China. China doesn‘t seem very keen on open source as a whole to be honest. That is unless they can monetize on open source projects from outside of China. Their companies love doing that.
Alibaba has released Qwen models under Apache licenses (and they are some of the best models that can reasonably be ran locally). Some argue that models aren’t really open source unless the training code and datasets are made available though.
DeepSeek being an LLM is far from open source and especially not „truly“ open. The very article you linked basically says as much but wraps it in pretty words. Talking about ignorance.
Yes I found out I was wrong, and I thought I had edited most of the wrong posts claiming deepseek is open source.
You are right it isn’t, despite articles claiming it is.
The dataset is massive and impractical to share, and a dataset may include bias and conditions for use, and the dataset is a completely separate thing from the code. You would always want to use a dataset that fit your needs. From known sources. It’s easy to collect data. Programming a good AI algorithm not so much.
Saying a model isn’t open source because collected data isn’t included is like saying a music player isn’t open source, because it doesn’t include any music.
EDIT!!!
TheGrandNagus is however right about the source code missing, investigating further, the actual source code is not available. and the point about OSI (Open Source Initiative) is valid, because OSI originally coined the term and defined the meaning of Open Source, so their description is per definition the only correct one.
Open source as a term emerged in the late 1990s by a group of people in the free software movement who were critical of the political agenda and moral philosophy implied in the term “free software” and sought to reframe the discourse to reflect a more commercially minded position.[14] In addition, the ambiguity of the term “free software” was seen as discouraging business adoption.[15][16] However, the ambiguity of the word “free” exists primarily in English as it can refer to cost. The group included Christine Peterson, Todd Anderson, Larry Augustin, Jon Hall, Sam Ockman, Michael Tiemann and Eric S. Raymond. Peterson suggested “open source” at a meeting[17] held at Palo Alto, California, in reaction to Netscape’s announcement in January 1998 of a source code release for Navigator.[18] Linus Torvalds gave his support the following day
They are releasing lots of open weight models. If you want to run AI stuff on your own hardware, Chinese models are generally the best.
They also don’t care about copyright law/licensing, so going forward they will be training their models on more material than Western companies are legally able to.
I don‘t know of a single
from China. China doesn‘t seem very keen on open source as a whole to be honest. That is unless they can monetize on open source projects from outside of China. Their companies love doing that.
Alibaba has released Qwen models under Apache licenses (and they are some of the best models that can reasonably be ran locally). Some argue that models aren’t really open source unless the training code and datasets are made available though.
Your ignorance is not a valid point.
https://techwireasia.com/2025/07/china-open-source-ai-models-global-rankings/
DeepSeek being an LLM is far from open source and especially not „truly“ open. The very article you linked basically says as much but wraps it in pretty words. Talking about ignorance.
Yes I found out I was wrong, and I thought I had edited most of the wrong posts claiming deepseek is open source.
You are right it isn’t, despite articles claiming it is.
DeepSeek the software is open source.
It‘s open weights but definitely not
Feel free to blame the technology as a whole but open source doesn‘t make exceptions for AI models.
Unless the dataset, weighting, and every aspect is open source, it’s not truly open source, as the OSI defines it.
The dataset is massive and impractical to share, and a dataset may include bias and conditions for use, and the dataset is a completely separate thing from the code. You would always want to use a dataset that fit your needs. From known sources. It’s easy to collect data. Programming a good AI algorithm not so much.
Saying a model isn’t open source because collected data isn’t included is like saying a music player isn’t open source, because it doesn’t include any music.
EDIT!!!
TheGrandNagus is however right about the source code missing, investigating further, the actual source code is not available. and the point about OSI (Open Source Initiative) is valid, because OSI originally coined the term and defined the meaning of Open Source, so their description is per definition the only correct one.
https://en.wikipedia.org/wiki/Open_source
They are releasing lots of open weight models. If you want to run AI stuff on your own hardware, Chinese models are generally the best.
They also don’t care about copyright law/licensing, so going forward they will be training their models on more material than Western companies are legally able to.