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Cutting edge ones? Unfortunately, rarely. Right now there's a sliding scale between "open and transparent" and "smart and performant" because they're just so darn expensive to train.
I think some of the closest ones to your requirements are Nvidia's research models, excluding Mistral Nemo which isn't as well documented (as its really a Mistral Model). And you can see a lot of the open "alternative" efforts like RWKV, openllama and such are severely underfunded and undertrained.
The datasets are there, the highly optimized implementations are getting there, pieces are there, a lot of of models have detailed papers, fully open codebases, but the funding to actually do it is just too much to deal with most of the time.
Another factor is that "closed" datasets like whatever Mistral, Facebook, Cohere and such use do seem to have an edge.