For an LLM you can finetune and enhance, distill and embed given just the model weights, the runtime, and a permissive license. Having more is better. Well written detailed model release papers help a lot. Training code and training data are a great bonus.
However, I find the purity contest a bit too dismissive of the great contributions to the AI dev ecosystem that Meta and Deepseek have brought us. Without these, there wouldn't be the open ecosystem we have today.