This is the new OSI Open source definition for AI models:
https://opensource.org/ai/open-source-ai-definition
Mistral Large 4 is definitely not open given the "use for any purpose without having to ask for permission" requirement.
This is the new OSI Open source definition for AI models:
https://opensource.org/ai/open-source-ai-definition
Mistral Large 4 is definitely not open given the "use for any purpose without having to ask for permission" requirement.
Well, to be fair, Mistral never say its open source. They call it just open weight.
Sure but people used "open weight" for weights that were open, because "open source" doesn't make much sense for something that has no source.
Now we have these "open inspired but not open" licensed weights and they want to keep the term.
I'll stick with DS4.1 flash. Open and capable
Open source doesn't mean "anyone can use the source code commercially". Open weights similarly doesn't mean the weights can be used for anything. It just means the weights are open for anyone to download and inspect.
> Open source doesn't mean "anyone can use the source code commercially".
Yes it does. It might have requirements that you release the code for any changes you make to it or link with it. But no OSI (or FSF) approved license prohibits you from using it commercially.
Not really. That definition also requires the training code and training data composition to be open-sourced.
No major Chinese or Western labs satisfy these requirements. The only vendors I can think of that do are Nvidia and Allen AI.
I'm a little confused by your distinction between vendor and lab. AI2 (Allen Institute for AI) is a western lab and they did release a fully open source model, with open weights, data, and training code (Olmo3).
Their technical report on the release is excellent: https://allenai.org/blog/olmo3
They're a public research institute as opposed to one of the proprietary frontier labs, but they've been very open about the science.
Yeah, I mentioned them in my comment. They're my favorite lab/vendor. Everything is open and reproducible.
It's just that their models were never frontier-level. By major, I meant frontier or popular.
K2 horizon is the closest to actually releasing everything that I am aware of https://ifm.ai/blog/k2/
Also Apertus: https://apertus-ai.org/
Nobody can do that because they were all trained on stolen content
I think IBM's Granite LLM are claimed to be trained only on legally-obtained data
Maybe that’s why nobody “heard” about it. It’s funny that we have companies bragging about not using stolen content to train their AI.
Granite is super good small parameter lineup for local tasks.
Also granite is the model my m2 MacBook will be using to run this survival LLM I found on HN: https://www.brangus.io/survival-llm
Allen AI imposes further restrictions on their model releases, I think: https://allenai.org/responsible-use